माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत

माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत
Madhav Institute of Technology & Science, Gwalior (M.P.), INDIA

Deemed University

(Declared under Distinct Category by Ministry of Education, Government of India)

NAAC ACCREDITED WITH A++ GRADE

माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत

Deemed to be University

(Declared under Distinct Category by Ministry of Education, Government of India)

NAAC ACCREDITED WITH A++ GRADE

Gola Ka Mandir, Gwalior (M.P.) - 474005, INDIA
Ph.: +91-751-2409300, E-mail: vicechancellor@mitsgwalior.in, Website: www.mitsgwalior.in

Faculty Profiles

DR. AKHILESH TIWARI

Designation: Professor & Head
Qualification: B.E., M.Tech. (Hons) (IT), Ph.D. 
Area of Interest: Data Mining, Terrorist Network Mining, Pattern Warehousing
Phone No: 9407204907
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it. 
  • About Faculty: Dr. Akhilesh Tiwari is currently working as Professor & Head at department of Information Technology, Madhav Institute of Technology & Science (MITS), Gwalior, (M.P.), India. Previously, he has also worked as Head of CSE & IT department from March 2018 to December 2020, at MITS Gwalior. His area of current research includes Knowledge Discovery in Databases & Data Mining, Terrorist Network Mining, Hesitation Mining and Pattern Warehousing. He has published more than 80 research papers in the Journals & Conferences of International repute, which includes publications in international publishing houses such as IGI Global USA, Springer, Inderscience, Taylor & Francis (CRC Press) and Elsevier with SCI, SCIE and SCOPUS indexing. He has published 10 Book Chapters in the Edited Books and also a editor of Book titled “Soft-Computing-Based Nonlinear Control Systems Design” for IGI Global USA. He has guided Five (05) PhD Scholars from various universities in India & more than 20 dissertations at Master’s level and at present guiding 07 PhD scholars. He has also been granted one international patent. Currently, he is the chairman of Board of Studies(BoS) in Information Technology, Contributed as Chairman of Research Advisory Committees (RACs), working as Member Secretary in the Academic Council, Member in the IQAC cell, member in the Academic Development Cell at Madhav Institute of Technology and Science, Gwalior (M.P.), India and member in the Board of Studies of Computer Science & Engineering at Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal, India, member in the Board of Studies in Information Technology at Institute of Engineering & Technology (IET), Devi Ahilya Vishwavidyalaya Indore, India. He is also acting as a reviewer & member in the editorial board/ program committees of various international Journals & Conferences. He has been honoured with the “Outstanding Young Person of Gwalior Award” in 2014 by the JCI Gwalior. He has been honoured with the award of recognition for significant contribution in the “Implementation and preparation of structure of Flexible Curriculum based on AICTE model curriculum” at MITS Gwalior. He has significantly contributed for the Integration of National Education Policy (NEP 2020) in the Curriculum at MITS Gwalior and also awarded with the Certificate of Recognition.  He is having the memberships of various Academic/ Scientific societies including IETE, GAMS (Gwalior Academy of Mathematical Sciences), IACSIT, and IAENG. He is also in the expert panel /selection committees of various agencies / universities/ institutions of India, including National Institute of Electronics &Information Technology (NIELIT), Ministry of Electronics & Information Technology, Govt. of India. Recently, he has been nominated as member of Board of Management (BoM) of Mahatma Gandhi Chitrakoot Gramodaya Vishwavidyalaya (MGCGV) (NAAC "A" Grade - India’s First Rural University), Chitrakoot by the Hon'ble Governor of Madhya Pradesh for the period from 26.10.2021 to 25.10.2024. Recently, nominated as external expert member in the School Board of School of Basic & Applied Sciences, Central University of Jammu, w.e.f. 25.05.2023 for the period of three years.
  • Administrative Experience:
    • Currently working as Head of the Department, Department of Information Technology at MITS Gwalior w.e.f. 1st December 2020 (afternoon) to the date.
    • Worked as Head of the Department, Department of CSE & IT at MITS Gwalior from 7th March 2018 to 1st December 2020 (forenoon).
  • Research Supervision:

    Ph.D.  THESIS GUIDED (Supervised / Co-Supervised)  (Awarded)

    S.

    No.

    Name of Candidate

    Approved Title/ Area

    University

    Status

    1

    Abhishek Dixit

    Swarm Intelligence Based Framework for Multilevel Hesitation Mining

    Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal

    Awarded on 22.12.2022

    2

    Saurabh Kumar Singh

    A Novel Framework for Terrorist Network Mining

    Uttarakhand Technical University, Dehradun

    Awarded on 08.10.2021

    3

    Archana Gupta

    A Novel  System for Mining Incremental Frequent Itemset without Candidate Generation

    Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal

    Awarded on 04.01.2021

    4

    Shraddha Viraj Pandit

    Study and Analysis of Video Compression with special reference to Fractal Video

    Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal

    Awarded on 04.10.2019

    5

    Vikram Rajpoot

    Design & Analysis of Efficient Algorithms for Mining Frequent Patterns from Large Databases

    Mahatma Gandhi Chitrakoot Gramodaya Vishwavidyalaya (MGCGV), Chitrakoot

    Awarded on 02.07.2019


    Ph.D.  THESIS  (Ongoing)

    S.

    No.

    Name of Candidate

    Approved Title/ Area

    University

    1

    Prateek Gupta

    Development of New Framework for Optimized Opinion Mining

    Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal

    2

    Nishtha Parashar

    Deep Learning Based Technique for Mining Image Data Association

    Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal

    3

    Vishakha Agarwal

    A New Recommender System for Effective Pattern Warehousing

    Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal

    4

    Rajeev Kumar Singh

    Segmentation and Classification of Plant Leaves Diseases Using Soft Computing Approaches

    Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal

    5

    Shubham Sharma

    IoT Enabled Image Retrieval using Sketch Based Deep Learning

    Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal

    (admitted under NDF Scheme of AICTE)

    6

    Mahesh Parmar

    A Deep Learning Based Multi-Tasking Classification Model for Sentiment Analysis

    Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal

    7

    Reena

    Data Mining

    Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal

     

    PhD Evaluated

    • Design of Optimized Bayesian Model based Multimodal  Medical Image Fusion Techniques using Variants of Discrete Wavelet  Transform (Guru Gobind Singh Indraprastha University, New Delhi) (2022)
    • Information Quality Management in Geo-Spatial Metadata (Indira  Gandhi University Meerpur, Rewari, Haryana) (2021)
    • Unsupervised Learning Techniques to Discover Hidden Patterns in Data Using Numerical Methods (Barkatullah University, Bhopal) (2020)
    • Security Issues in 5G Wireless Communication Network (Shri Mata Vaishno Devi University, Katra, J&K) (2021)
    • Development of Enhanced Clustering Techniques for Big Data Analytics (Barkatullah University, Bhopal)(2021)
    • Critical Study of Knowledge Discovery in Healthcare (Mahatma Gandhi Chitrakoot Gramodaya Vishwavidyalaya , Chitrakoot)(2021)
    • Robust Non-Linear High Dimensional Pattern Recognition using Soft Computing Techniques ( Guru Gobind Singh Indraprastha University, New Delhi) (2020)
    • Development of Information Extraction Framework for Creation of Contextual Contents using Ontological Approach (Barkatullah University, Bhopal)(2019)
    • Development of a Personalized Recommender System using Web Mining (Barkatullah University, Bhopal) (2018)
    • Analysis of Trust Based Source Routing using Trust Prediction System in Mobile Adhoc Network (AISECT University Bhopal)(2018)
    • Study of IT Applications to Improve IMR, MMR and Health Services in Geographically Challenged State Uttarakhand (Shri Venkateshwara University, Amroha, U.P.) (2018)
    • Methodologies for Semi Automatic Creation of Domain Ontology in Educational Data using Learning Approaches (Barkatullah University, Bhopal) (2018)
    • Design & Development of Intelligent Data Mining Techniques for Intrusion Detection System (Barkatullah University, Bhopal) (2017)
  • Honors, Award & Recognition:
    • Nominated member of Board of Management (BoM) by the Hon’ble Governor of Madhya Pradesh at Mahatma Gandhi Chitrakoot Gramodaya Vishwavidyalaya (MGCGV), Chitrakoot for the period from 26.10.21 to 25.10.24 (Ref. Notification no. F-18-1/2016/ रा स / यू  ए -1/1104 dated 26 Oct. 2021 issued from Raj Bhavan Bhopal).
    • Awarded with the Certificate of Recognition for Achieving High Administrative Efficiency Index (AEI) (8.56 out of 10) for Information Technology Department, Highest in the Institute in July-Dec. 2021 Semester (Ref. No. MITS/2022/08). The Certificate of Recognition was conferred on MITS Day, 10th March 2022.
    • Awarded with the Certificate of Recognition for significant Contribution in the Integration of National Education Policy (NEP 2020) in the Curriculum (preparing the scheme & structure of Phase-II of Flexible Curriculum Conforming to NEP 2020 guidelines) (Ref. No. MITS/2022/04). The Certificate of Recognition was conferred on MITS Day, 10th March 2022.
    • As Head of Information Technology Department, significantly contributed in the conduction of the “Off-line Campus Connect Programme” on 2nd & 14th March 2022 and the Department has secured 2nd Rank in the institute. (Ref. No. MITS/2022/48). The Certificate of Recognition was conferred on MITS Day, 10th March 2022.
    • Honoured with the Certificate of Recognition for significant contribution as Member Secretary, Academic Council, in preparing the structure of Flexible Curriculum and “Implementation of the Flexible Curriculum” based on the AICTE model Curriculum guidelines at Madhav Institute of Technology & Science, Gwalior.  (Ref. No. MITS/2021/05). The Certificate of Recognition was conferred on MITS Day, 10th March 2021.
    • Honoured with the Certificate of Recognition for significant contribution in “Administration: as Head of the Department”. The Administrative Efficiency Index (AEI) computed for the CSE & IT department based on 30 parameters was 8.87 out of 10, highest in Jan.-June 2020 Semester at Madhav Institute of Technology & Science, Gwalior.  (Ref. No. MITS/2021/09). The Certificate of Recognition was conferred on MITS Day, 10th March 2021.
    • Received Letter of Appreciation from the Hon'ble Director of MITS Gwalior for dedication and instrumental contribution during the visit of team of University Grants Commission, New Delhi (24-25 Feb., 2017) for the grant of ‘UGC Autonomous’ status to MITS Gwalior  (ef. letter no. 582 dated 04/03/2017).
    • Honoured with Outstanding Young Person of Gwalior Award in 2014 for Academic Leadership and Accomplishment by JCI Gwalior on 18th April 2014.
  • Workshop/Conference/Organized/Attended:
    • Contributed as General Chair in the International Conference on Sustainable and innovative solutions for Current Challenges in Engineering & Technology (ICSISCET-2021), held online during November 13-14 2021.
    • Chaired a session titled “Keynote of Prof. Xin-She Yang” in the International Conference on Sustainable and innovative solutions for Current Challenges in Engineering & Technology (ICSISCET-2021), held online during November 13-14 2021.
    • Chaired a session titled “Computational Intelligence & Machine Learning” in the International Conference on Sustainable and innovative solutions for Current Challenges in Engineering & Technology (ICSISCET-2021), held online during November 13-14 2021.
    • Convener of National Workshop on “Computational Intelligence in Data Analytics " (under TEQIP-III) held during  8th  and  9th   February  2021 at department of Information Technology, MITS Gwalior.
    • Convener of AICTE Sponsored One Week Online Short Term Training Programme on “Applied Computing” organized during 9th -13th November, 2020 by the department of CSE & IT, MITS Gwalior.
    • Convener of National workshop titled “Internet of Things (IoT) and Data Analytics” (under TEQIP-III), organized during 23rd-24th October, 2020 by the department of CSE & IT, MITS Gwalior.
    • Chaired a technical session during the Second International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering & Technology (ICSISCET- 2020) held during 18th – 19th December, 2020 at MITS, Gwalior.
    • Convener of National Workshop on “Data Science: Techniques & Tools" (under TEQIP-III) held during 20-21 June, 2020 at department of CSE & IT, MITS Gwalior.
    • Worked as Member of organizing committee in the AICTE sponsored International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering & Technology (ICSISCET-2019), organized by Madhav Institute of Technology & Science, Gwalior, Madhya Pradesh, India during November 02-03, 2019.
    • Chaired a Session in the AICTE sponsored International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering & Technology (ICSISCET-2019), organized by Madhav Institute of Technology & Science, Gwalior, Madhya Pradesh, India during November 02-03, 2019.
    • Worked as Organizing Committee Member for Second International Symposium on “Sustainable Development Research in the Asia-Pacific” organized by MITS Gwalior, India and RMIT University, Melbourne, Australia in Partnership with the United Nation’s Environment One Planet’s Sustainable buildings and Construction (SBC) programme on 19th- 21st December, 2019.
    • Convener of National Workshop titled “Recent Trends in AI, Deep Learning and Its Applications” (under TEQIP-III) during 28 - 29 September, 2019 at MITS Gwalior
    • Organized & Coordinated, AICTE Sponsored one week Short Term Course (under Quality Improvement Programme) on “Intelligent Computing Techniques in Data Mining and Image Processing” from 1st to 5th, 2019 at MITS Gwalior.
    • Organized (as convener) National level two days workshop on “Soft Computing Techniques & It’s Applications” (under TEQIP-III) during 18-19 Jan., 2019 at MITS Gwalior.
    • Organized a National Conference on Advances in Information and Communication Technology (under TEQIP-II) during 4-5 Feb., 2016. (contributed as Organizing Secretary)
    • Organized a National Workshop titled “Research Methodology” (under TEQIP-II) on 29th January 2016 at MITS Gwalior (contributed as Organizing Secretary)
    • Organized (in the capacity of member of organizing committee) a two days National Conference on Advances in Information and Communication Technology (NCAICT-2015) (under TEQIP Phase-II) during 23 – 24 Feb., 2015 at MITS Gwalior.
    • Contributed as Workshop Coordinator for organizing Two-week ISTE Workshop on “Cyber Security” conducted by IIT Bombay from 10-20 July 2014 at MITS Gwalior. This workshop was held under the National Mission on Education through ICT (MHRD). (Received Certificate of Excellence from IIT Bombay for contributing as Workshop Coordinator)
    • Organized (in the capacity of organizing secretary) a three days Workshop on “Cloud Computing” (in collaboration with IBM India Pvt. Ltd.) under TEQIP Phase-II during 13th-15th May 2014 at MITS Gwalior.
    • Organized Workshop (in the capacity of member of organizing committee) on “Research Methodology” under TEQIP Phase-II during 11th- 15th November 2013 at MITS Gwalior.
    • Organized (in the capacity of organizing secretary) AICTE sponsored National Conference on Advances in Information and Communication Technology during 28th – 29th October, 2013 at MITS Gwalior.
  • Publications:

       Research Publications

    • Rajeev Kumar Singh, Akhilesh Tiwari, R. K. Gupta, “Deep Transfer Modeling for Classification of Maize Plant Leaf Disease” Multimedia Tools and Applications, 81, 6051–6067 (2022). https://doi.org/10.1007/s11042-021-11763-6 (Springer,2022) [SCIE Indexed]
    • Dixit, A., Tiwari, A., Gupta, R.K., “A Model for Trend Analysis in the Online Shopping Scenario using Multilevel Hesitation Pattern Mining”, in Deep Transfer Learning Models for Complex Multimedia Applications special issue of Mathematical Problems in Engineering, Vol 2021, Article ID 2828262, 11 pages, 2021. [SCIE Indexed] (Scopus Indexed) (WoS Indexed) (Impact Factor: 1.305) https://doi.org/10.1155/2021/2828262
    • Pathak, P.K. Shukla, A. Tiwari, S. Stalin, S. Singh, P.K. Shukla, Deep Transfer Learning Based Classification Model for COVID-19 Disease, IRBM,2020 (Elsevier). (ISSN 1959-0318), (doi: https://doi.org/10.1016/j.irbm.2020.05.003) [SCIE Indexed]
    • Saurabh Singh, Shashi Kant Verma, Akhilesh Tiwari, “A Novel Approach for Finding Crucial Node using Electre Method”, International Journal of Modern Physics B, Vol. 34, No. 09, 2050076,  [SCI Indexed]
    • Saurabh Singh, Shashi Kant Verma, Akhilesh Tiwari, “A Novel Method for Destabilization of Terrorist Network”, Modern Physics Letters B, Vol. 34, No. 27, 2050298, 2020. [SCI Indexed]
    • Shraddha Pandit, Piyush Kumar Shukla, Akhilesh Tiwari, Prashant Kumar Shukla, Manish Maheshwari and Rachana Dubey, “Review of Video Compression Techniques Based on Fractal Transform Function and Swarm Intelligence”, International Journal of Modern Physics B, Vol. 34, No. 08, 2050061, 2020. [SCI Indexed]
    • Saurabh Singh, Shashi Kant Verma, Akhilesh Tiwari, “Identification of Pivotal Node in Terrorist Network using TOPSIS Method”, International Journal of Innovative Technology and Exploring Engineering, Vol. 08, Issue 9, pp. 3299 -3305, 2019 [Scopus Indexed]
    • ShraddhaPandit, Piyush Kumar Shukla, Akhilesh Tiwari and Prashant Shukla, “Review Of Different Video Compression Methods Based On Fractal Transform", International Journal of Scientific & Technology Research Volume 8, Issue 11, 3687- 3689, November 2019 [Scopus Indexed]
    • Nishtha Parashar, Akhilesh Tiwari and R. K. Gupta, “Association Rule Mining over Medical Image Dataset: A Survey Approach", International Conference on Computing, Communication and Intelligent Systems (ICCCIS-2019), pp. 84 – 89, 2019. [Scopus Indexed]
    • Saurabh Singh, Shashi Kant Verma, Akhilesh Tiwari, “Identification of Pivotal Node in Terrorist Network using TOPSIS Method”, International Journal of Innovative Technology and Exploring Engineering, Vol. 08, Issue 9, pp. 3299 -3305, 2019 [Scopus Indexed]
    • Uday Pratap Singh, Sanjeev Jain, Rajendra Kumar Gupta, Akhilesh Tiwari, “AFMBC for a class of Nonlinear Discrete-Time Systems with Dead Zone”, International Journal of Fuzzy Systems, Vol. 21, Issue 4, pp. 1073-1084, June 2019. (Springer). [SCIE, SCOPUS INDEXED] (IF: 3.085)
    • Shraddha Pandit, Piyush kumar Shukla, Akhilesh Tiwari and Prashant Shukla, “ Comparative Exploration of Compression and Decompression Impact on Fractal Video ", Journal of Advanced Research in Dynamical and Control Systems,Vol.11,no.2,pp.1556-1566, May 2019 [Scopus Indexed]
    • Archana Gupta, Akhilesh Tiwari, Sanjeev Jain, “ A system for Incremental Association rule mining without candidate generation”, International Journal of Computer Science and Information Security (IJCSIS). Vol. 17, No. 7, July 2019.
    • Archana Gupta, Akhilesh Tiwari, Sanjeev Jain, “ An Efficient Tree Based Data Structure For Incremental Frequent Itemset Generation”, International Journal for Research in Applied Science and Engineering Technology (IJRASET), ISSN: 2321- 9653, Impact factor – 7.177, Vol – 7, Issue – VI, pp 36-42, June 2019.
    • Prateek Pandey, Ratnesh Litoriya, Akhilesh Tiwari, “A Framework for Fuzzy Modelling in Agricultural Diagnostics, Journal Européen des Systèmes Automatisés (1269-6935), 51/4-6, pp. 203-223, 2018. (doi:10.3166/jesa.51.203-223). (Scopus)
    • Gaurav Sharma, Akhilesh Tiwari “Data Analytics Model for Optimal Crop Management”, International Journal for Research in Applied Science & Engineering Technology (IJRASET), Volume 07, Issue 06, pp. 690-693, June 2019. (UGC Listed)
    • Akanksha Gahoi, Akhilesh Tiwari “Data Mining Techniques for Prediction of Wheat Crop Production”, International Journal for Research in Applied Science & Engineering Technology (IJRASET), Volume 07, Issue 06, pp. 1158-1163, June 2019. (UGC Listed)
    • Archana Gupta, Sanjeev Jain and Akhilesh Tiwari, “Optimization and Improvement of Association Rule Mining using Genetic Algorithm and Fuzzy Logic”, International Conference on Sustainable Computing in Science, Technology & Management (SUSCOM-2019), pp.2299- 2304, Feb. 26-28, Amity University Rajasthan, Jaipur, 2019.
    • Uday Pratap Singh, Sanjeev Jain, Akhilesh Tiwari, Rajeev Kumar Singh, “Gradient evolution-based counter propagation network for approximation of noncanonical system, Soft Computing, pp. 1-13, 2018. (Springer Berlin Heidelberg). https://doi.org/10.1007/s00500-018-3160-7  [SCIE, SCOPUS INDEXED]
    • Saumya Saraswat, Akhilesh Tiwari, “A New Approach for Customer Churn Prediction in Telecom Industry”, International Journal of Computer Applications, Volume 181, No.11, pp. 40-46, Aug. 2018.
    • Gomsi Yadav, Akhilesh Tiwari, “On the Use of Elephant Herding Optimization for Mining Profitable Patterns”, International Journal of Technical Innovation in Modern Engineering & Science, Volume 04, Issue10, pp. 196-205, Oct. 2018.
    • Priyanka Gupta, Akhilesh Tiwari, “Optimal Pattern Mining using Differential Evolution Algorithm”, International Journal of Technical Innovation in Modern Engineering & Science, Volume 04, Issue10, pp. 206-213, Oct. 2018.
    • Shraddha Pandit,Piyush Kumar Shukla and Akhilesh Tiwari, “Fractal Compression of an AVI Video File using DWT and Particle Swarm Optimization”, International Journal of Computer Science and Information Security,Vol.16, No.1, pp. 128-131, 2018.
    • Saurabh Singh, Shashikant Verma, Akhilesh Tiwari, “An innovative approach for identification of pivotal node in terrorist network using promethee method (an anti-terrorism approach)”, International Journal of Engineering & Technology, Vol. 7 (1), pp. 95-99, 2018. [Scopus Indexed]
    • Shraddha Pandit, Piyush Kumar Shukla and Akhilesh Tiwari, “Video Compression based on Fractal Isosceles Triangular Partition using Hybrid Swarm Intelligence”, International Journal of Computer Applications, Volume 179, No.29, pp. 28-34, 2018.
    • Shraddha Pandit, Piyush Kumar Shukla and Akhilesh Tiwari, “A Proficient Video Compression Method Based on DWT & HV Partition Fractal Transform Function”, International Journal of Scientific Engineering and Technology, Vol.7, Issue 2, pp. 20-24, 2018.
    • Shraddha Pandit, Piyush Kumar Shukla and Akhilesh Tiwari, “ Enhance the Performance of Video Compression Based on Fractal H-V Partition Technique with Particle Swarm Optimization”, International Journal of Computer Science and Engineering,Vol.6, Issue 1, pp.31-35, 2018.
    • Uday Pratap Singh, Sanjeev Jain, Akhilesh Tiwari, Rajeev Kumar Singh, “Approximation of nonlinear discrete-time system using FA-based neural network” Granular Computing (2017). https://doi.org/10.1007/s41066-017-0055-4 (Springer International Publishing).
    • Saurabh Singh, Shashikant Verma, Akhilesh Tiwari, Divyani Indurkhya, Aditya Tiwari, “An Innovative Investigation on the Importance of Link in Terrorist Network Using Prim’s Algorithm (Anti - Terrorism Approach)”, Journal of Advanced Research in Dynamical and Control Systems Vol. 9, pp. 316- 331, Sp– 14 / 2017 [Scopus Indexed]
    • Singh, S. Verma, A. Tiwari and A. Tiwari, "A novel way to classify passenger data using Naïve Bayes algorithm (A real time anti-terrorism approach)," 2016 2nd International Conference on Next Generation Computing Technologies (NGCT), Dehradun,2016,pp.312-316. (doi: 10.1109/NGCT.2016.7877433)
    • Arvind Sharma, R. K. Gupta, and Akhilesh Tiwari, “Improved Density Based Spatial Clustering of Applications of Noise Clustering Algorithm for Knowledge Discovery in Spatial Data,”Mathematical Problems in Engineering, vol. 2016, Article ID 1564516, 9 pages, 2016. doi:10.1155/2016/1564516 [Science Citation Index Expanded, Scopus] (Impact Factor 0.644)
    • Vishakha Agarwal, Akhilesh Tiwari, A Novel Optimal Pattern Mining Algorithm using Genetic Algorithm, International Journal of Computer Applications, Vol. 144, Issue No. 4, pp. 18-21, 2016. (ISSN: (0975 – 8887)
    • Vishakha Agarwal, Akhilesh Tiwari, From Data Warehouse to Pattern Warehouse: A Progressive Step, International Journal of Engineering Research, Vol. 5, Issue No. 4, pp. 249-252, 2016. (ISSN:2319-6890)(online),2347-5013(print) (Impact Factor 3.851)
    • Jagrat Gupta, Akhilesh Tiwari, Profitable Pattern Mining: A Survey Approach, TECHNIA – International Journal of Computing Science and Communication Technologies, Vol. 5, Issue No. 4, pp. 264-268, 2016. (ISSN:2319-6890)(online),2347-5013(print)
    • Surabhi Pathak, Akhilesh Tiwari, A Survey on Hesitation Information Mining, International Journal of Computer Applications, Vol. 141, Issue No. 9, pp. 14-21, 2016. (ISSN: (0975 – 8887)
    • Jagrat Gupta, Akhilesh Tiwari, A New Model for Profitable Pattern Mining, International Journal of Engineering Research, Vol. 5, Issue No. 4, pp. 264-268, 2016. (ISSN:2319-6890)(online),2347-5013(print)
    • Saumya Gupta, Akhilesh Tiwari, Terrorism in the Cyber Space: The New Battlefield, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 5, Issue 5, pp. 218-222, 2016. ISSN (Online) 2278-1021 ISSN (Print) 2319 5940.
    • Shrikant Brajesh Sagar, Akhilesh Tiwari, Rough Set and Genetic Based Approach for Maximization of Weighted Association Rules, International Journal of Modern Education and Computer Science, Vol. 3, pp. 54-63, 2016  (Hong Kong) (DOI: 10.5815/ijmecs.2016.03.0)
    • Lokendra Singh Parihar, Akhilesh Tiwari, Soft Set Based Approach for Intrusion Detection Using Data Mining Techniques, International Journal for Science and Advance Research In Technology, Vol. 2 Issue 1, pp. 63-71, 2016. (Impact Factor 3.55) (ISSN No. 2395-1052)
    • Lokendra Singh Parihar, Akhilesh Tiwari, Survey on Intrusion Detection Using Data Mining Methods, International Journal for Science and Advance Research In Technology, Vol. 2 Issue 1, pp. 23-32, 2016. (Impact Factor 3.55) (ISSN No. 2395-1052)
    • Arun Kumar Singh, Akhilesh Tiwari, Exploring the Utility of Vague Concept for Uncertainty and Hesitation Management, International Journal of Hybrid Information Technology, Vol.8, No.12, pp. 153-170, 2015 (Australia)  (http://dx.doi.org/10.14257/ijhit.2015.8.12.10) [Scopus Indexed]
    • Prateek Shrivastava, Akhilesh Tiwari, Genetic Based Hesitation Information Mining for Profitability Management, International Journal of Database Theory and Application, Vol.8, No.6, pp.75-88, 2015. (Australia) (http://dx.doi.org/10.14257/ijdta.2015.8.6.07) [Scopus Indexed]
    • Shrikant Brajesh Sagar, Akhilesh Tiwari, Rough Set and Genetic based Model for Extracting Weighted Association Rules, International Journal of Hybrid Information Technology, Vol.8, No.11, pp.121-138, 2015  (Australia) (http://dx.doi.org/10.14257/ijhit.2015.8.11.10) [Scopus Indexed]
    • Mradul Dhakar, Akhilesh Tiwari, Tree-augmented naive Bayes-based model for intrusion detection system, Int. J. Knowledge Engineering and Data Mining (IJKEDM), 3 No. 1, pp. 20-30, 2014. Inderscience (Switzerland).
    • Saumil Maheshwari, Akhilesh Tiwari, Genetic Based Optimization of Social Network with Special Reference to Terrorist Network Mining, International Journal of Computing Science and Communication Technologies (IJCSCT) Technia, Vol 7. No. 1, pp. 1005-1008, 2014.
    • Vinod Rampure, Akhilesh Tiwari, A Rough Set Based Classification Model for the Generation of Decision Rules, International Journal of Database Theory and Application, 7 No.5, pp.95-108, 2014.  [Scopus Indexed]
    • Ekta Gupta, Akhilesh Tiwari, BPAODV: Black Hole Prevention Using Trust Adhoc on Demand Distance Vector Routing Protocol, International Journal of Future Generation Communication and Networking, 7, No. 6, pp. 103-118, 2014. [Scopus Indexed]
    • Ekta Gupta, Akhilesh Tiwari, Approaches for the detection and Prevention of Black Hole Attack in AODV: A Critical Review, International Journal of Computing Science and Communication Technologies (IJCSCT) Technia, Vol 7. No. 1, pp. 987-995, 2014.
    • Mradul Dhakar, Akhilesh Tiwari, A Novel Data Mining based Hybrid Intrusion Detection Framework, Journal of Information and Computing Science (JIC), Vol. 9, No. 1, pp. 37-48, 2014. (England, UK)
    • Sahiv Singh Kanojiya, Akhilesh Tiwari, A New Soft Set Based Association Rule Mining Algorithm, International Journal of Computing Science and Communication Technologies (IJCSCT) Technia, Vol 6. No. 2, pp. 948-954, 2014.
    • Bhavana Mahour, Akhilesh Tiwari, A Ranking Algorithm for News Data Streams,  International Journal of Computer Applications, 94 No. 6, pp. 46-50, 2014.
    • Mradul Dhakar, Akhilesh Tiwari, Evaluating the Performance of TAN-based and REP-based Models for Intrusion Detection, International Journal of Computing Science and Communication Technologies (IJCSCT) Technia, Vol 6. No. 1, pp. 909-915, 2013.
    • Nisha Chaurasia, Akhilesh Tiwari, Novel Algorithm for Terrorist Network Mining, International Journal of Computing Science and Communication Technologies (IJCSCT) Technia, Vol. 6, No. 1, pp. 898-903, 2013.
    • Mradul Dhakar, Akhilesh Tiwari, A New Model for Intrusion Detection based on Reduced Error Pruning Technique, International Journal of Computer Networks and Information Security (IJCNIS), MECS Publishers, Vol. 5, No. 11, pp. 51-57, 2013.
    • Mradul Dhakar, Nisha Chaurasia, Akhilesh Tiwari, Analysis of K2 based Intrusion Detection System,Current Research in Engineering, Science and Technology Journals (CREST), 1, No. 5, pp. 129-134, 2013.
    • Nisha Chaurasia, Akhilesh Tiwari, Efficient Algorithm for Destabilization of Terrorist Networks, International Journal of Information Technology and Computer Science (IJITCS), MECS Publishers, Vol. 5 No. 12, pp. 21-30,
    • Akhilesh Tiwari, R. K. Gupta, D. P. Agrawal, “Knowledge-Miner: The Conceptual and Architectural Design of an Efficient Data Mining Tool” International Journal of Data Mining and Emerging Technologies, ISSN 2249-3220, Vol. 2, No. 1, pp. 26-35, 2012. 
    • Nisha Chaurasia, Mradul Dhakar, Akhilesh Tiwari, R.K. Gupta, “A Survey on Terrorist Network Mining: Current Trends and Opportunities” International Journal of Computer Science & Engineering Survey (IJCSES), Vol. 3, No. 4, pp. 59-66, 2012.
    • Nisha Chaurasia, Mradul Dhakar, Astha Chharia, Akhilesh Tiwari, R. K. Gupta, “Exploring the Current Trends and Future Prospects in Terrorist Network Mining” In Proc. of The Second International Conference on Computer Science, Engineering and Applications (CCSEA-2012), pp. 379-385, 2012.
    • Akhilesh Tiwari, R. K. Gupta, D. P. Agrawal, “An Algorithm For Maximal Frequent Itemset Mining From Large Databases Using Bit-Set Representation Scheme” International Journal of Data Mining and Emerging Technologies, ISSN 2249-3220, Vol. 1, No. 1, pp: 1-7, 2011.
    • Akhilesh Tiwari, R. K. Gupta, D. P. Agrawal, “A Survey on Frequent Pattern Mining: Current Status and Challenging Issues” Information Technology Journal, ISSN 1812-5638, Vol. 9, No. 7, pp: 1278-1293, 2010. [Scopus Indexed]

    Book Chapters

    • Dixit, A., Tiwari, A., Gupta, R.K. (2022). Exploring Current Trends and Challenges in Hesitation Mining. In: Tiwari, S., Trivedi, M.C., Kolhe,M.L., Mishra, K., Singh, B.K. (eds) Advances in Data and InformationSciences. Lecture Notes in Networks and Systems, vol 318, pp 417–428. Springer,Singapore. [Scopus Indexed] https://doi.org/10.1007/978-981-16-5689-7_37
    • Dixit, A., Tiwari, A., Gupta, R.K. (2020). Investigating Multilevel Hesitated Patterns Using Vague Set Theory. In: Pant, M., Kumar Sharma, T., Arya, R., Sahana, B., Zolfagharinia, H. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1154, pp 335–345. Springer, Singapore. [Scopus Indexed] https://doi.org/10.1007/978-981-15-4032-5_31
    • Vishakha Agarwal, Akhilesh Tiwari, R.K. Gupta and Uday Pratap Singh, “The Conceptual and Architectural Design of Genetic Based Optimal Pattern Warehousing System”, Big Data Analytics: A Social Network Approach (Editors: Editors: Mrutyunjaya Panda, Ajith Abraham and Aboul-Ella Hassanien), 2019. (Published by   CRC Press Taylor and Francis Group) (International Standard Book No. – 13:978-1-138-08216-8).
    • Pandit S., Shukla P.K., Tiwari A. (2019) Investigating the Effect of Compression and Decompression in Video Using Fractal Technique. In: Peng SL., Dey N., Bundele M. (eds) Computing and Network Sustainability. Lecture Notes in Networks and Systems, vol 75. Springer, Singapore (doi: doi: 10.1007/978-981-13-7150-9_8)
    • Sowkarthika B, Akhilesh Tiwari, R.K. Gupta and Uday Pratap Singh, “Utility and Significance of Vague Set Theory and Advanced Optimization Mechanisms for Uncertainty Management”, Soft-Computing-Based Nonlinear Control Systems Design, pp.191-219, 2018. IGI Global USA (DOI: 10.4018/978-1-5225-3531-7.ch010)
    • Shalini Stalin, Priti Maheshwary, Piyush Kumar Shukla, Akhilesh Tiwari and Ankur Khare, “Fast Chaotic Encryption Using Circuits for Mobile and Cloud Computing: Investigations Under the Umbrella of Cryptography”, Soft-Computing-Based Nonlinear Control Systems Design, pp. 252-277, 2018. IGI Global USA (DOI: 10.4018/978-1-5225-3531-7.ch012)
    • Pankaj Agrawal, Akhilesh Tiwari and Uday Pratap Singh, “An Innovative Design of RF Energy Harvester for Wireless Sensor Devices”, Soft-Computing-Based Nonlinear Control Systems Design, pp.311-342, 2018. IGI Global USA (DOI: 10.4018/978-1-5225-3531-7.ch015).
    • Uday Pratap Singh, Sanjeev Jain, Akhilesh Tiwari and Rajeev Kumar Singh. "Nature-Inspired-Based Adaptive Neural Network Approximation for Uncertain System." Handbook of Research on Emergent Applications of Optimization Algorithms. IGI Global USA, 2018. 439-461. Web. 10 Nov. 2017. doi:10.4018/978-1-5225-2990-3.ch019
    • Agarwal, V., Tiwari, A., Gupta, R.K., Singh, U.P. (2018). Discovering Optimal Patterns for Forensic Pattern Warehouse. In: Choudhary, R., Mandal, J., Bhattacharyya, D. (eds) Advanced Computing and Communication Technologies. Advances in Intelligent Systems and Computing, vol 562. Springer, Singapore. https://doi.org/10.1007/978-981-10-4603-2_11 (DOI: 10.1007/978-981-10-4603-2) [Scopus Indexed] (DOI: 10.1007/978-981-10-4603-2) [Scopus Indexed]
    • Mradul Dhakar, Akhilesh Tiwari. "The Conceptual and Architectural Design of an Intelligent Intrusion Detection System." Improving Information Security Practices through Computational Intelligence. IGI Global USA, 2016. 100-125. Web. 30 Nov. 2015. doi:10.4018/978-1-4666-9426-2.ch005  [Scopus Indexed]
    • Saumil Maheshwari, Akhilesh Tiwari, “A Novel Genetic Based Framework for the Detection and Destabilization of Influencing Nodes in Terrorist Network”, Computational Intelligence in Data Mining - Volume 1, Smart Innovation, Systems and Technologies Vol. 31, pp. 573 – 582, 2015.  (DOI 10.1007/978-81-322-2205-7_53)   Published by Springer. [Scopus Indexed]
    • Nisha Chaurasia, Akhilesh Tiwari, “On the use of Brokerage Approach to discover Influencing Nodes in Terrorist Networks”, Social Networking: Mining, Visualization, and Security, Series Title: Intelligent Systems Reference Library, Vol. 65, pp. 271 -295, 2014. Print ISBN 978-3-319-05163-5, Online ISBN 978-3-319-05164-2, (DOI 10.1007/978-3-319-05164-2_11). Springer International Publishing Switzerland. [Scopus Indexed]

    BOOK PUBLISHED (AS EDITOR)

    S.

    No

    Book Title

    ISBN/EISBN

    Publisher

     

    Doi

    Projected Release Date

    Pages

    1.

    Soft-Computing-Based Nonlinear Control Systems Design

    ISBN13: 9781522535317

    ISBN10: 1522535314

    EISBN13: 9781522535324

    IGI Global, USA

    doi:10.4018/978-1-5225-3531-7

     

    E-Book: Available on Web

     

    Hardcover: February, 2018

     

    415
  • Complete Resume:

    Other Administrative and Communicative Services

    • Worked as member of Committee responsible for preparing the "Implementation policy of NEP-2020" for the Madhav Institute of Technology & Science, Gwalior
    • Working as Member Secretary in the Academic Council of Madhav Institute of Technology & Science, Gwalior (M.P.) (constituted as per the UGC Guidelines January, 2018)  [w.e.f. 22.10.2019]
    • Member of Internal Quality Assurance Cell (IQAC) at MITS Gwalior [w.e.f. 01.03.2019]
    • Working as Chairman of Board of Studies (BOS) in Information Technology at Madhav Institute of Technology & Science, Gwalior (M.P.) [w.e.f. 01.12.2020]
    • Member of Academic Development Cell (ADC) at MITS Gwalior [w.e.f. 23.08.2018]
    • Worked as Chairman of Research Advisory Committees (RACs), constituted for each doctoral candidate in CSE & IT discipline at MITS Gwalior Research Center [Period: from 05.08.2019 to 22.02.2021]
    • Worked as Chairman of Board of Studies (BOS) in Computer Science & Engineering and Information Technology at Madhav Institute of Technology & Science, Gwalior (M.P.) [Period: from 07.03.2018 to 01.12.2020]
    • Worked as In-charge of Online Exam Conduction, during COVID-19 Pandemic
    • Worked as Member in the Academic Council of Madhav Institute of Technology & Science, Gwalior (M.P.)
    • Worked as Coordinator, Start-up Cell (established under TEQIP-III) at MITS Gwalior
    • Worked as Convener of Institution Innovation Council, at MITS Gwalior
    • Member of Institute Level NBA, NAAC and UGC coordination committee at MITS Gwalior
    • Member of Proctorial Board at MITS Gwalior
    • Member of Board of Studies in Computer Science & Engg. at RGPV Bhopal
    • Member in the BoS of IT Department, IET, Devi Ahilya Vishwavidyalaya Indore
    • Working as SPOC of Infosys Campus Connect Program at MITS Gwalior
    • Worked as Chairman of Digital Valuation Cell during July-Dec. 2018 semester exam. at MITS Gwalior
    • Worked as Member in the Board of Studies (BOS) of Information Technology, at MITS Gwalior
    • Worked as member of Ph.D. interview board for selection of candidates under AICTE National Doctoral Fellowship (NDF) scheme for the session 2019-20.
    • Worked as member of Ph.D. interview board for selection of candidates under AICTE QIP scheme for the session 2018-19.
    • Worked as member of Ph.D. interview board for selection of candidates under AICTE National Doctoral Fellowship (NDF) scheme for the session 2018-19.
    • Worked as member of selection committee for the recruitment of contractual faculty for CSE & IT department for the semester July-December 2019.
    • Worked as Member of Counselling committee for 2017-18 admissions at MITS Help Center.
    • Worked as Member of committee constituted for organizing Gold Medal Distribution Ceremony on 09/07/2017.
    • Worked as Member of Flying Squad at MITS Gwalior in the April-May, 2017 Semester Examination.
    • Worked as Coordinator of PG Programmes (M.Tech CSE/IT/Cyber Security) (2nd Year) at deptt. of CSE & IT.
    • Worked as Member of committee constituted for recommending names of students  for gold medal award for the academic year 2015-16 (passing out 2016).
    • Worked as Coordinator of PG Programmes (M.Tech CSE/IT/Cyber Security) at deptt. of CSE & IT, MITS Gwalior from 2011 to 2015.
    • Worked as Member in the Interview Committee constituted for interviewing Candidates for admission to Ph.D. programme under QIP scheme of AICTE in the year 2016.
    • Worked as Member in the Interview Committee constituted for interviewing Candidates for admission to Ph.D. programme under QIP scheme of AICTE in the year 2014.
    • Worked as Member in the Verification Committee during interview process for non teaching posts at MITS Gwalior in the year 2014.
    • Worked as Member in the Institutional discipline committee, April 2013 at MITS Gwalior.
    • Worked as Member in the Interview Committee constituted for interviewing Candidates for admission to Ph.D. programme under QIP scheme of AICTE in the year 2013 at MITS Gwalior.
    • Worked as Member in the admission committee for admission to M.Tech (CSE) Program (PG admission) 2011.
    • Worked as Member in the departmental project evaluation committee for evaluating the performance of UG students during the tenure of project, MITS, Gwalior.
    • Worked as Member in the purchase committee for the purchase of computers and related items/services, MITS, Gwalior, January 2011
    • Worked as Class Co-ordinator (UG Programme) at MITS, Gwalior from January 2008 to 2011.
    • Worked as Member in the committee for scrutinizing the application (Recruitment) forms of candidates for the selection of faculty positions in various departments, MITS, Gwalior, June 2010.
    • Worked as Member in the Result checking Committee, MITS, Gwalior, June 2010
    • Worked as Member in the Placement Committee, MITS, Gwalior, May - June 2010.
    • Worked as Member in the committee responsible for feasibility study for the automation of central library, MITS, Gwalior, May 2010.
    • Worked as Member of Anti-Ragging Committee, MITS, Gwalior, April 2010.
    • Worked as Member in the flying Squad for the prevention of indisciplinary activities in the campus, MITS, Gwalior, 2009.
    • Worked as Member, PEPT-2009 counselling team, MITS, Gwalior.
    • Worked as  Worked as Practical Exam Co-ordinator, Department of CSE & IT, MITS, Gwalior

    COURSE CURRICULUM DESIGNED / REVIEWED/ RESEARCH PAPERS REVIEWED

    • Significantly contributed in the design and development of curriculum for emerging area B.Tech programmes such as Internet of Things (IoT), Artificial Intelligence and Robotics, AI & Data Science, AI and Machine Learning at MITS Gwalior. The same has been implemented with effect from 2020-21 academic session.
    • Significantly contributed in the design and development of Flexible Scheme/curriculum for B.Tech programme (in accordance with AICTE model curriculum). (The same has been made effective from the session 2017-18 at MITS Gwalior).
    • Worked as Reviewer in the AICTE sponsored International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering & Technology (ICSISCET-2019), organized by Madhav Institute of Technology & Science, Gwalior, Madhya Pradesh, India during November 02-03, 2019.
    • Reviewed research paper titled “Extend the range in Bluetooth by using Grid Based Partitioning Technique” for ISCON 2014 (International Conference on Information Systems & Computer Networks).
    • Reviewed research paper titled “Data Mining Based Pervasive System Design for Intensive Care Unit” for ISCON 2014 (International Conference on Information Systems & Computer Networks).
    • Worked as responsible entity for designing the syllabus and schemes of PG Programme (started from July 2014) M.Tech (Cyber Security) at MITS Gwalior.
    • Actively Contributed for designing the syllabus and schemes of newly started PG Programme (M.Tech, Information Technology) in the year 2012 at MITS Gwalior.
    • Worked as Chairman of Committee (constituted on 14/03/2011, vide letter no. CSE/1068) responsible for the design of syllabus of newly started M.Tech (Computer Science & Engineering) program in the department of CSE & IT, MITS, Gwalior.

     

     

     

DR. SAUMIL MAHESHWARI

Designation: Assistant Professor
Qualification: M.Tech., Ph.D. (ABV-IIITM)
Area of Interest: Machine Learning, Optimization Algorithms, Data Mining, Deep Learning
Phone No: 09827352520
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

  • Education and Qualification:

    B.E.(CSE), M.Tech (CSE), Ph.D.(IT)
  • Work Experience:

    I am working as an Assistant Professor in the department of CSBS, MITS Gwalior. Before Joining here, I worked at Bennett University (The Times group) for around 8 months. I have a teaching experience of 23 months at MITS Gwalior (On contract basis: for two consecutive terms) prior joining for my Doctorate program. I have completed my Doctorate from ABV-Indian Institute of Information Technology and Management in 2020. 
  • Research Projects, Consultancy & Patents:

    My research focuses on the deep learning techniques, which is recent trend in the area of Artificial Intelligence. I have seven journal papers published (additional two are under review) indexed in SCI-E, ESCI and Scopus journals. Apart from these I have published four book chapters and 7 International conference papers indexed in Elsevier, Springer, ACM etc. 
  • Honors, Award & Recognition:
    • Saumil maheshwari, Assistant Professor, IT department received certificate of recognition for scoring average FFI>4.25 in both semesters of the July-June 2021 session in ‘Database Management System’ and ‘Data Structure’ awarded by MITS,Gwalior on MITS Day.

DR. ABHISHEK DIXIT

Designation: Assistant Professor
Qualification: B.E. (Hons) (CSE), M. Tech. (Hons) (IT), Ph. D. (CSE)
Area of Interest: Data Mining, Hesitation Mining, Speech Recognition
Phone No: 07000480998
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
  • About Faculty: Abhishek Dixit received his Bachelor of Engineering in Computer Science & Engineering, Masters in Technology degree in Information Technology and Ph.D Degree in CSE from Rajiv Gandhi Technological University Bhopal (State Technological University of Madhya Pradesh, India). He is currently working as Assistant Professor in the Department of Information Technology at Madhav Institute of Technology and Science, Gwalior, India. He qualified gate in 2012, 2013, 2017, 2018, and 2020. His area of research interest includes Hesitated Pattern Mining, Data Mining, and Speech Recognition. He has published 05 research papers indexed in SCI, SCIE, SCOPUS, Web of Science (WoS), etc, and 02 book chapters in springer series. He is acting as a peer reviewer for Journal, Knowledge Based Systems, Elsevier and also reviewed manuscripts for International Conference on Fuzzy Systems and Data Mining (FSDM 2018), Bangkok, Thailand and International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering & Technology (ICSISCET 2021), MITS.
  • Education and Qualification:

    B.E. (CSE, Honours), M.Tech (IT, Honours), Ph.D. (CSE, Pursuing), and Gate Qualified (2012, 2013, 2017, 2018, 2020).
  • Work Experience:

    He has 11 years of teaching and research experience. 
  • Administrative Experience:
    • Member in the Training & Placement Cell of the Institute from 17/08/2022  to till date.
    • Coordinator of Board of Studies (BoS) in the Department of Information Technology from 16/12/2021 to till date.
    • Class Coordinator of Artificial Intelligence and Data Science (I Year) from 18/01/2022 to till date.
    • Co-Coordinator of Time Table Committee from 16/11/2021 to till date.
  • Honors, Award & Recognition:
    • Gate Qualified (2012, 2013, 2017, 2018, 2020).
    • NPTEL Topper for Session Jan-June 2022 [Topper of 2% in Fundamental Algorithms: Design and Analysis course].
    • Design a Flexible Scheme for the B. Tech programme (in accordance with the AICTE model curriculum) for the students admitted in the sessions 2017-18 onwards at Madhav Institute of Technology and Science, Gwalior.
    • Design Scheme for the M.Tech programme (in accordance with AICTE model curriculum) for the students admitted in the sessions 2020-2021 at Madhav Institute of Technology and Science, Gwalior.
    • Received Certificate of Recognition for research contribution in publishing paper in SCIE indexed journal on MITS day, 10th March 2022.
    • Received Letter of Appreciation from the Director of MITS Gwalior for a contribution towards teaching & learning in Jan.-June 2021.
    • Received Letter of Appreciation from the Director of MITS Gwalior for a contribution towards teaching & learning in July-Dec. 2021.
    • Reviewer of the papers in the conference ICSISCET 2021.
    • Received Letter of Appreciation from the Director of MITS Gwalior for a contribution towards Teaching & Learning (Jan-June 2019).
    • Peer Reviewer for Journal, Knowledge Based Systems, Elsevier.
    • Reviewed manuscripts for the 4th International Conference on Fuzzy Systems and Data Mining (FSDM 2018), Bangkok, Thailand.
    • Member of All India Council for Technical Skill Development.
    • Member of Education Research and Development Association (ERDA) from 1st July 2020 to 30th June 2023
    ONLINE COURSES CERTIFICATION:
    • Fundamental Algorithms: Design and Analysis course organized by IIT Kharagpur through NPTEL with 88% (Elite + Silver certificate).
    • Patent Drafting for Beginners organized by IIT Madras through NPTEL with 77 % (Elite + Silver certificate).
    • Introduction to Artificial Intelligence (AI) course authorized by IBM and offered through coursera, 2020.
    • Python through GUVI Geek Network Private Limited software company in Chennai, 2020.
    • Python 101 for Data Science through Cognitive class.ai powered by IBM developers Skills Network, 2020.
    • R Programming authorized by Johns Hopkins University and offered through Coursera, 2020.
    • Pattern Discovery in Data Mining authorized by the University of Illinois at Urbana-Champaign and offered through Coursera, 2020.
    • Text Mining and Analytics authorized by University of Illinois at Urbana-Champaign and offered through Coursera, 2020.
    • Data Science for Engineers through NPTEL-AICTE organized by IIT Madras, 2019.
    • Data Mining through NPTEL-AICTE organized by IIT Madras, 2019.
  • Workshop/Conference/Organized/Attended:

     

    CONFERENCES/ FACULTY DEVELOPMENT PROGRAMME/ SHORT TERM COURSE / WORKSHOPS/WEBINAR/ EXPERT TALK ORGANIZED

    • Workshop on “Deciding modes of teaching according to the Multiple Mode Teaching Learning Pattern (MMTLP)” in the department of Information Technology at MITS Gwalior, 20th May 2022.
    • Expert Talk on “Applications of AI in Forensics”, Resource Person: Dr. Ritesh Vyas, Senior Research Associate, Lancaster University, UK in the department of Information Technology at MITS Gwalior, 24th January 2022.
    • Organizing two days National Workshop on “Computational Intelligence in Data Analytics” under TEQIP – III in MITS Gwalior, February 2021.
    • Organizing a one-week Short Term Course on “Intelligent Computing Techniques in Data Mining and Image Processing” under Quality Improvement Programme (QIP) in MITS Gwalior, February 2019.
    • Organizing two days National Workshop on “Soft Computing Techniques & its Applications” under TEQIP – III in MITS Gwalior, January 2019.

    CONFERENCES/ FACULTY DEVELOPMENT PROGRAMME/ SHORT TERM COURSE / WORKSHOPS/ WEBINAR ATTENDED

    • Attended 4 week FDP on Fundamental Algorithms: Design and Analysis course organized by IIT Kharagpur through NPTEL with 88% (Elite + Silver certificate), Feb. – March 2022.
    • Attended 4 week FDP on Patent Drafting for Beginners organized by IIT Madras through NPTEL with 77 % (Elite + Silver certificate), Jan. – Feb. 2022.
    • Attended two weeks online short course on “Data Science and Analytics” organized by Indian Institute of Technology Gandhinagar, 11th - 23rd January, 2021.
    • Attended five days AICTE Training and Learning (ATAL) Academy Online Faculty Development Programme on “Internet of Things (IoT)” organized by IIT Goa, 14th Nov -18th Nov 2020.
    • Attended online National Webinar on "National Education Policy 2020 – Implementing in Higher Education" jointly organized by SPIU-UP and The Institute of Engineers, 29th Oct 2020.
    • Attended two days online workshop on "IoT and Data Analytics" organized by Madhav Institute of Technology and Science under TEQIP-III during 23rd – 24th 2020.
    • Attended five days AICTE Training and Learning (ATAL) Academy Online Faculty Development Programme on “Computer Science & Biology” organized by PDPM IIITDM Jabalpur, 29th Aug -2nd Sep 2020.
    • Attending onilne National Webinar on "Strategies for Writing Good Research article" organized by Indian Bureau of Administrators and Technocrats (IBAT) & Department of Commerce, Manipal, 30th Aug 2020.
    • Attending onilne National Webinar on “E-Summit on Online Learning & Employability Skill for Atmanirbhar Bharat” Jointly organized by SPIU-UP and ISTE, 25th August 2020.
    • Attended five days online Webinar Series on “Research & Innovation” organized by Department of Information Science & Engineering, Vidyavardhaka College of Engineering, Mysuru, Karnataka, 17th – 21st August 2020.
    • Attended online Tech Talk on “Julia: An Introduction to New Age Programming Language” organized by Department of Computer Science & Engineering, Vidyavardhaka College of Engineering, Mysuru, Karnataka, 20th August 2020.
    • Attended one day online Webinar on “Issues Related to COVID-19” jointly organized by IETE Bhopal & Gwalior, IEEE, M.P. Subsection and Institute of Engineers, Gwalior, 16th August 2020.
    • Attended five days Faculty Development Programme on “Machine Learning” organized by Department of Information Science, Vidyavardhaka College of Engineering, Mysuru, Karnataka, 10th – 14th August 2020.
    • Attended five days Workshop on “Artificial Intelligence: Theory and Application” organized by Kamla Nehru Institute of Technology (KNIT), Sultanpur in association with TEQIP-III and SPIU, Uttar Pradesh, 25th –29th July 2020.
    • Attended five days Faculty Development Programme on “Data Science Fundamentals” organized by Department of Information Technology, St. Joseph’s Institute of Technology in association with ISTE, Tamil Nandu Section, 27th – 31st July 2020.
    • Attended online Webinar on “Issues and Challenges in Filling of Patents” organized by KKR & KSR Institute of Technology and Science, Vinjanampadu, Guntur, Andhra Pradesh, 25th July 2020.
    • Attended online Webinar on “What is Big Data and How Distributed Big Data Platforms Works?:” organized by Kakinada Institute of Technology and Science, Andhra Pradesh, 24th July 2020.
    • Attended online Webinar on “LaTex” organized by Rustamji Institute of Technology, Gwalior, 15th July 2020.
    • Attended one-week online Faculty Development Programme on “Machine Learning with Python” organized by Department of Computer Science & Engineering, KKR & KSR Institute of Technology and Science, Vinjanampadu, Guntur, Andhra Pradesh, 13th – 18th July, 2020.
    • Attended online Webinar on “Cyber Security” organized by Gyan Ganga Institute of Technology & Sciences, Jabalpur, 28th June 2020.
    • Attended online Webinar on “5G Technologies and its Impact” organized by OPJU IEEE TECH WEB SERIES, 27th June 2020.
    • Attended online Webinar on “MEMS Technology: A Driver for IoT Applications” organized by Amity School of Engineering and Technology, Gwalior, 24th June 2020.
    • Attended online National Workshop on “Data Science: Techniques & Tools” organized by Madhav Institute of Technology and Science under TEQIP-III, Gwalior, 20-21 June 2020.
    • Attended online Webinar on “Technology Trends, Disruption and Opportunities” organized by Chennai Institute of Technology, 6th June 2020.
    • Attended Five Days AICTE Training and Learning (ATAL) Academy Online Faculty Development Programme on “Data Science” organized by Indian Institute of Information Technology Vadodara, 25th -29th May 2020.
    • Attended online Webinar on “Internship for Crime Free Job and Service Rich Aatm Nirbhar Samarth Bharat” organized by Madhav Institute of Technology and Science, Gwalior, 24th May 2020.
    • Attended online Webinar on “Research Paper Writing for Scientific Journals” organized by KIT-Kalaignarkarunanidhi Institute of Technology, Coimbatore, 22nd May 2020.
    • Attended online Webinar on “IEEE 802.11 and Building Wireless Community Networks” organized by IEEE STANDARDS ASSOCIATION & MHRD PMMMNMTT FDC, Shivaji University, Kolhapur, 22nd May 2020.
    • Attended online Webinar on “Machine Learning” organized by Shri G. S. Institute of Technology & Science, Indore (M.P.) in association with WILEY India Pvt. Ltd., 19th May 2020
    • Attended online Webinar on “Development of Micro-Sensors and their Applications Using Artificial Intelligence” organized by Amity School of Engineering and Technology, Gwalior, 8th May 2020.
    • Attended online Webinar on “PATEOMATIC – A Self Automated & Instantaneous Patent Drafting Tool” organized by SOLUTIONS4URIP, 25th April 2020.
    • Attended International Conference on Soft Computing: Theories and Applications (SoCTA) Organized By NIT, Patna, India, 2019.
    • Attended two days National Workshop on “Research Methodology and R Programming” under TEQIP – III in MITS Gwalior, 31st – 1st Sept., 2019.
    • Attended one-week Faculty Development Programme on “Data Science for Engineers” through NPTEL-AICTE organized by IIT Madras, July –Sep., 2019.
    • Attended one-week Faculty Development Programme on “Data Mining” through NPTEL-AICTE organized by IIT Madras, February -April, 2019.
    • Attended five days of AICTE sponsored Short-Term Course on “Intelligent Computing Techniques in Data Mining and Image Processing” organized by MITS Gwalior, 1st – 5th February, 2019.
    • Attended two days National Workshop on “ADVANCED OPTIMIZATION TECHNIQUES AND RESEARCH DIRECTIONS” under TEQIP – III in MITS Gwalior, November 2018.
    • Attended six days Faculty Development Programme on “Soft Computing and Programming for Science and Engineering Research” organized by IIITDM Jabalpur, September, 2018.
    • Attended five days Training on “INTERNET OF THINGS” under TEQIP – III in MITS Gwalior, September 2018.
    • Attended two days of AICTE sponsored Short-Term Course on “Assuring Global Quality in Technical Education through Outcome Based Education” organized by IQAC in MITS Gwalior, March 2018.
    • Attended International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) Organized By DMI College of Engineering Palnchur, Chennai, Tamilnadu, India, 2016.
    • Attended one day Workshop on “VIRTUAL LABS: IIT DELHI” organized by Malwa Institute of Technology and Management, Gwalior (M.P.), 2016.
    • Attended two days Faculty Development Programme on “Wireless Sensor Network and Cloud Computing” organized by IITM, GWALIOR, 2012.
    • Attended One day Workshop on “Ethical Hacking” organized by NRI Institute of Technology & Management, Gwalior, 2009.
  • Publications:

     

    Research Publications indexed in SCI, SCIE, SCOPUS, Web of Science (WoS), etc.

    • Dubey, R., Rajpoot, V., Chaturvedi, A., Dixit, A., Maheshwari, S., “Ball-Bearing Fault Classification Using Comparative Analysis of Wavelet Coefficient based on Entropy Measurement”. IETE Journal of Research, pp. 1-11. (SCIE Indexed) (Scopus Indexed) (WoS Indexed) https://doi.org/10.1080/03772063.2022.2142685
    • Rajpoot, V., Dubey, R., Khan, S.S., Maheshwari, S., Dixit, A., Deo, A., Doohan, N.V. (2022). “Orchard Boumans algorithm and MRF approach based on full threshold segmentation for dental X-ray images”. Traitement du Signal, Vol. 39, No. 2, pp. 737-744. (SCIE Indexed) (Scopus Indexed) (WoS Indexed) (Impact Factor: 2.589) https://doi.org/10.18280/ts.390239
    • Dixit, A., Tiwari, A., Gupta, R. K., “A Model for Trend Analysis in the Online Shopping Scenario using Multilevel Hesitation Pattern Mining”, in Deep Transfer Learning Models for Complex Multimedia Applications special issue of Mathematical Problems in Engineering, Vol 2021, Article ID 2828262, 11 pages, 2021. (SCIE Indexed) (Scopus Indexed) (WoS Indexed) (Impact Factor: 1.305) https://doi.org/10.1155/2021/2828262
    • Dixit, A. Vidwans and P. Sharma, "Improved MFCC and LPC algorithm for bundelkhandi isolated digit speech recognition," 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016, pp. 3755-3759. (Scopus Indexed) doi: 10.1109/ICEEOT.2016.7755413
    • Dixit, A. Vidwans and Bisen, A., “An Overview and Comparative Study of Speech Recognition Techniques”, Research & Reviews: A Journal of Embedded System & Applications, vol. 4, Issue 1, 2016. (UGC LISTED)

    Book Chapter

    • Dixit, A., Tiwari, A., Gupta, R.K. (2022). Exploring Current Trends and Challenges in Hesitation Mining. In: Tiwari, S., Trivedi, M.C., Kolhe, M.L., Mishra, K., Singh, B.K. (eds) Advances in Data and Information Sciences. Lecture Notes in Networks and Systems, vol 318, pp 417–428. Springer, Singapore. (Scopus Indexed) https://doi.org/10.1007/978-981-16-5689-7_37
    • Dixit, A., Tiwari, A., Gupta, R. K. (2020). Investigating Multilevel Hesitated Patterns Using Vague Set Theory. In: Pant, M., Kumar Sharma, T., Arya, R., Sahana, B., Zolfagharinia, H. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1154, pp 335–345. Springer, Singapore. (Scopus Indexed) https://doi.org/10.1007/978-981-15-4032-5_31

DR. DEVANSHU TIWARI

Designation:  Assistant Professor 
Qualification: B.E. , M.Tech. (Hons) (CSE), Ph.D (CSE).
Area of Interest: Image Processing, Artificial Intelligence  
Phone No:9713840152
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
  • About Faculty: Dr. Devanshu Tiwari is currently working as an Assistant Professor in the Department of Computer Science and business system at Madhav Institute of Technology & Science, Gwalior. She holds a Ph.D. in Computer Science and Engineering from the Rajiv Gandhi Proudyogiki Vishwavidyalaya,Bhopal specializes in machine and deep learning applications in medical imaging. With nearly five years of teaching and research experience, she has published extensively in SCIE-indexed journals and has been awarded prestigious fellowships. Notable contributions include innovative breast cancer detection systems and COVID-19 diagnostic methods. Dr. Tiwari also holds an International patent and has authored significant book chapters on AI and cybersecurity.
  • Education and Qualification:
    • Ph.D.

             In the faculty of Computer Science & Engineeing from the Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India.

    • M.Tech.

              In the Computer Science & Engineeing discipline from the Rajiv Gandhi Proudyogiki Vishwavidyalaya,Bhopal, India.

    • B.E.

             In the Information Technology discipline from the Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India.

    • Post Graduate Diploma in Cyber Law

             From the National Law Institute University, Bhopal
  • Work Experience:

    • 1st July, 2024 to Present 

      MADHAV INSTITUTE OF TECHNOLOGY & SCIENCE, GWALIOR (M.P.), INDIA

      Deemed University (Declared under Distinct Category by Ministry of Education, Government of India)

    • July 2015 to December 2016

             DoCSE, UNIVERSITY INSTITUTE OF TECHNOLOGY, RGPV, Bhopal.

    • August 2010 to July 2011

             DoCSE, UNIVERSITY INSTITUTE OF TECHNOLOGY, RGPV, Bhopal
  • Honors, Award & Recognition:
    • Awarded Research Fellowship from the Madhya Pradesh Council of Science & Technology, Bhopal (MP) in the year 2022.
  • Publications:

    Journal Publications

    • Devanshu Tiwari, Manish Dixit et al. "Breast cancer-caps: a breast cancer screening system based on capsule network utilizing the multiview breast thermal infrared images." Turkish Journal of Electrical Engineering and Computer Sciences 30.5 (2022): 1804-1820. (SCIE indexed journal).
    • Devanshu Tiwari, Manish Dixit et al. "Deep Multi-View Breast Cancer Detection: A Multi-View Concatenated Infrared Thermal Images Based Breast Cancer Detection System Using Deep Transfer Learning." Traitement du Signal 38.6 (2021): 1699-1711.(SCIE Indexed journal).
    • KR Bhatele, A Jha, Devanshu Tiwari et al. "Covid-19 detection: A systematic review of machine and deep learning-based approaches utilizing chest x-rays and ct scans." Cognitive Computation, Springer (2022): 1-38. (SCIE Indexed journal).
    • KR Bhatele, A Jha, K . Kapoor, Devanshu Tiwari et al. "Neurodegenerative diseases-Caps: a capsule network based early screening system for the classification of neurodegenerative diseases." Cognitive Neurodynamics, Springer 16.6 (2022): 1361-1377. (SCIE Indexed Journal).

    Conference Publications

    • Devanshu Tiwari, Manish Dixit et al. "The Classification of Breast Cancer Based on Hyper-Tuned AdaBoost Ensemble Model." Machine Intelligence Techniques for Data Analysis and Signal Processing: Proceedings of the 4th International Conference MISP 2022, Volume 1. Singapore: Springer Nature Singapore, 2023. (Scopus indexed conference).
    • Devanshu Tiwari, Manish Dixit et al. "Performance Comparison of the Resnet50 and Inceptionv3 Deep Transfer Learning models over the Breast Cancer Thermo Gram dataset". Two Day Virtual International Conference on Technological Developments in Computer Applications (VICTDCA-2021) at the Bhopal School of Social Sciences, 24-25 March 2021.
    • Devanshu Tiwari,"Breast Cancer prediction using Hyper Tuned AdaBoost Classifier". 34th National Convention of Computer Engineers and National Conference on the theme Industrial and Medical Application of Artificial Intelligence organized by the Institution of Engineers (India). 20-21 November, 2021.
    • Devanshu Tiwari, "An Automated System for the early screening of Breast Cancer Abnormalities Utilizing the Thermal Images Based On Deep Transfer Learning". 37th M.P. Young scientist Congress by M.P. Council of Science and Technology. 14-17 March, 2022.

Dr. GULSHAN SONI

Designation: Assistant Professor
Qualification: Ph.D. (CSE) Pondicherry University, M.E. (CSE) NITTTR Chandigarh, and B.Tech. (IT) NIT Raipur. UGC-NET Qualified (Dec 2024)
Area of Interest: Wireless Body Area Networks (WBANs), IoT, and Blockchain Technology.
Phone No: 7587416809
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

  • About Faculty: Dr. Gulshan Soni is an Assistant Professor in the Centre for Computer Science and Business Management at MITS-DU, Gwalior. He holds a Ph.D. in Computer Science and Engineering (2021) from Pondicherry University, an M.E. in CSE (2014) from NITTTR Chandigarh, and a B.Tech. in Information Technology (2008) from NIT Raipur. With over eight years of academic and research experience, his areas of expertise include Wireless Sensor Networks, WBANs, MAC and Routing Protocols, IoT, Blockchain, and Cloud Computing. Dr. Soni has published extensively in SCIE and Scopus-indexed journals, contributed to multiple patents, and served as a reviewer for leading international journals. He has also been actively involved in organizing conferences, workshops, and faculty development programs.
  • Education and Qualification:
    1. Ph.D. (Comp. Sci. & Engg.) (2021), Pondicherry University (A Central University), Puducherry, India.
    2. Master of Engineering (M.E.) (2014) (Comp. Sci. & Engg.), National Institute of Technical Teachers Training & Research (NITTTR), Chandigarh, India.
    3. B.Tech. (Information Technology) (2008), National Institute of Technology (NIT), Raipur, India
  • Work Experience:

    Dr. Gulshan Soni has 9+ years of academic experience as Assistant/Associate Professor and Lecturer at institutions including IIIT Naya Raipur, MATS University, O.P. Jindal University, KL University, GEC Bilaspur, PEC Chandigarh, and ACME Faridabad.
  • Research Projects, Consultancy & Patents:

    National Utility Patents (Filed & Published)

    1. "IoT-Based Automatic Detection and Prevention of All Types of Leaf Diseases and Other Environmental Factors Using AI Camera, WSN, and Machine Learning Algorithms"
      Application No.: 202241070928

    2. "Topic Models System Using Neural Networks"
      Application No.: 202311003249

    National Design Patent (Granted)

    1. "Door Handle with Stress Detection Mechanism"
      Design Patent No.: 376197-001
  • Honors, Award & Recognition:
    • UGC-NET (Computer Science and Applications) – Qualified for Assistant Professor & Ph.D. Admission
      Conducted by NTA, December 2024 Cycle
      Percentile: 92.25 | Roll No: CG03000835
  • Workshop/Conference/Organized/Attended:

    • Faculty Development Program (FDP)
      Role: Convenor
      Title: "Engineering Excellence: Empowering Faculty for Tomorrow’s Challenges"
      Duration: January 4–10, 2024
      Venue: MSE&IT, MATS University, Raipur

    • International Conference
      Role: General Chair
      Title: "Advances in Engineering, Information & Aerospace Technology: A Global Perspective (ICAEIAT-2023)"
      Dates: December 1–2, 2023
      Venue: MSE&IT, MATS University, Raipur

    • National Workshop
      Role: Convenor
      Title: "Aerodynamics and I.C. Engines"
      Duration: November 22–23, 2023
      Venue: MSE&IT, MATS University, Raipur
  • Publications:

    International Journal Publications (SCI/SCIE/Scopus Indexed)

    1. Pandey, U., Chandra, S. K., & Soni, G. (2024). Enhancing Sensor Node Lifespan in WSNs through Traffic-Adaptive Duty Cycle MAC (TDC-MAC) Protocol. Journal of Electrical Systems, 20(10), 6209–6218. ESR Groups. (Scopus)

    2. Lakkshmanan, A., Soni, G., Mishra, A. K., Arumugam, S. K., & Tyagi, A. K. (2024). A Deep Learning-Based Credit Card Fraud Detection Using Feature Engineering: An Analytical Approach. Journal of Autonomous Intelligence, 5(7), 1–7. Frontier Scientific Publishing. DOI: https://doi.org/10.32629/jai.v7i5.1477 (Scopus)

    3. Soni, G. & Selvaradjou, K. (2023). A Dynamic Allocation Scheme of Scheduled Slots for Real-Time Heterogeneous Traffic in IEEE 802.15.6 Standard for Scheduled Access Mechanism. Journal of Ambient Intelligence and Humanized Computing, 14(1), 237–256. Springer. DOI: https://doi.org/10.1007/s12652-021-03288-5 (SCIE, Scopus, IF: 4.95)

    4. Soni, G. & Selvaradjou, K. (2022). Optimal GTS Distribution to Heterogeneous Sensors in IEEE 802.15.4 Network for Healthcare Monitoring Applications. Personal and Ubiquitous Computing, 26, 131–153. Springer. DOI: https://doi.org/10.1007/s00779-021-01643-z (SCIE, Scopus, IF: 3.006)

    5. Soni, G. & Selvaradjou, K. (2021). A Robust Guaranteed Time Slots Allotment Scheme for Real-Time and Reliable Communication in WBANs. International Journal of Ad Hoc and Ubiquitous Computing, 36(2), 102–113. Inderscience. DOI: 10.1504/IJAHUC.2021.10035743 (SCIE, Scopus, IF: 0.773)

    6. Soni, G. & Selvaradjou, K. (2020). Performance Evaluation of Wireless Sensor Network MAC Protocols with Early Sleep Problem. International Journal of Communication Networks and Distributed Systems, 25(2), 123–144. Inderscience. DOI: 10.1504/IJCNDS.2020.108875 (Scopus, ESCI, CiteScore: 1.9)

    7. Soni, G. & Selvaradjou, K. (2021). Rational Allocation of Guaranteed Time Slots to Support Real-Time Traffic in Wireless Body Area Networks. International Journal of Sensors, Wireless Communications and Control, 11(8), 858–871. Bentham Science Publishers. DOI: https://doi.org/10.2174/2210327911666210308155147 (Scopus, CiteScore: 0.9)

    8. Soni, G. & Selvaradjou, K. (2021). The Finest Superframe Interval and GTS Provision Scheme (FSGPS) for Time-Sensitive IEEE 802.15.4 Applications. SN Computer Science, 2(5), 1–17. Springer. DOI: https://doi.org/10.1007/s42979-021-00769-4 (Scopus)

    9. Soni, G. & Kalra, M. (2013). Comparative Study of Live Virtual Machine Migration Techniques in Cloud. International Journal of Computer Applications, 84(14). Foundation of Computer Science. ISBN: 973-93-80892-43-1 | ISSN: 0975-8887 (Scopus, CiteScore: 0.835)

    International Conferences

    1. Amit Kumar Tyagi, D Sathian, Khushboo Tripathi, Arnav R, Gulshan Soni (2023). Role of Artificial Intelligence and Internet of Things (IoT) in the automobile industry: Research Gaps and Challenges for Society. In 2023 International Conference on Computer Communication and Informatics (ICCCI 2023), IEEE. (Scopus Indexed) (Paper accepted and presented)

    2. Gulshan Soni, Vijayaprabakaran K, Anandkumar R, Uma Shankar Pandey (2023). A Fuzzy Logic Based Objective Function to Improve Reliability of RPL Routing Protocol in LLNs. In OPJU International Technology Conference on Emerging Technologies for Sustainable Development, pp. 01–06, IEEE. DOI: 10.1109/OTCON56053.2023.10113920 (Scopus Indexed)

    3. Uma Shankar Pandey, Gulshan Soni, Saroj Kumar Chandra (2023). Dynamic Duty Cycle Based MAC Protocols – A Comprehensive Survey. In OPJU International Technology Conference on Emerging Technologies for Sustainable Development, pp. 01–06, IEEE. DOI: 10.1109/OTCON56053.2023.10113951 (Scopus Indexed)

    4. Uma Shankar Pandey, Gulshan Soni, Saroj Kumar Chandra (2023). The Impact of Alteration of Superframe Duration on the Consumption of Energy in IEEE 802.15.4. In 5th International Conference on Smart Systems and Inventive Technology, pp. 254–260, IEEE. DOI: 10.1109/ICSSIT55814.2023.10061143 (Scopus Indexed)

    5. Sanskar Srivastava, Anshu, Rohit Bansal, Gulshan Soni, Amit Kumar Tyagi (2022). Blockchain Enabled Internet of Things: Current Scenario and Open Challenges for Future. In 12th World Congress on Information and Communication Technologies, pp. 640–648, Springer. DOI: 10.1007/978-3-031-27499-2_59 (Scopus Indexed)

    6. Soni, G., Selvaradjou Ka. (2020). Performance Evaluation of MAC Protocols with Static and Dynamic Duty Cycle in WSNs. In International Conference on Advanced Computing and Intelligent Engineering, pp. 403–416, Springer. DOI: 10.1007/978-981-15-1483-8_34 (Scopus Indexed)

    7. Soni, G., Selvaradjou Ka. (2017). Smart Garbage Bin Systems – A Comprehensive Survey. In International Conference on Intelligent Information Technologies, pp. 194–206, Springer. DOI: 10.1007/978-981-10-7635-0_15 (Scopus Indexed)

    8. Soni, G., Kalra, Mala (2014). A Novel Approach for Load Balancing in Cloud Data Center. In International Advance Computing Conference (IACC), pp. 807–812, IEEE. DOI: 10.1109/IAdCC.2014.6779427 (Scopus Indexed)

    9. Soni, G., Kalra, Mala (2014). Comparative Study of Various Load Balancing Techniques in Cloud. In International Conference on Computer Networks and Information Technology (ICCNIT 2014), National Institute of Technical Teachers Training and Research, Chandigarh, March 20–21, 2014.

    10. Soni, G., Gupta, Umesh, Singh, Nikhil (2013). Analysis of Modified Substitution Encryption Techniques. In IEEE International Conference on Advanced Research in Engineering and Technology (ICARET), K L University, Vaddeswaram, Andhra Pradesh, India, Feb. 8–9. ISBN: 9781634392402.

    11. Gupta, Umesh, Soni, G., Singh, Nikhil (2013). Intrusion Detection System for WSN: A Review. In IEEE International Conference on Advanced Research in Engineering and Technology (ICARET), K L University, Vaddeswaram, Andhra Pradesh, India, Feb. 8–9. ISBN: 9781634392402 Academia.edu Link

    National Conferences

    1. Soni, G. (2011). Mobireal Simulator Communication Between Mobile Nodes using Routing Protocol in MANETs. In National Conference on NCRTEMS-2011, February 24, 2011.

    2. Soni, G. (2011). Vision-Based Hand Gesture Recognition Techniques: A Review. In National Conference on ETCSIT-2011, April 21, 2011.

     

    Book Chapters Details

    1. Menon, Sanjana Chelat, Sanjana Prasad, and Gulshan Soni (2022). Preserving Privacy of Patients With Disabilities in the Smart Healthcare Systems. In Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services, edited by Amit Kumar Tyagi, pp. 191–205. Hershey, PA: IGI Global. DOI: 10.4018/978-1-6684-5741-2.ch012. (Scopus Indexed)

    2. Menon, Sanjana Chelat, Umayal V. R., Gulshan Soni, Aymaan Baig, and Amit Kumar Tyagi (2022). A Visual Framework for an IoT-Based Healthcare System Based on Cloud Computing. In Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services, edited by Amit Kumar Tyagi, pp. 83–95. Hershey, PA: IGI Global. DOI: 10.4018/978-1-6684-5741-2.ch006. (Scopus Indexed)

    3. Akbar Ali Khan, Prakriti Dwivedi, Sareeta Mugde, S.A. Sajidha, Garima Sharma, and Gulshan Soni (2022). Toward Automated Machine Learning for Genomics: Evaluation and Comparison of State-of-the-Art AutoML Approaches. In Data Science for Genomics, edited by Amit Kumar Tyagi and Ajith Abraham, pp. 129–152. Academic Press, Elsevier. DOI: 10.1016/B978-0-323-98352-5.00017-3. (Scopus Indexed)

    4. Susindhar V, Amit Tyagi, and Gulshan Soni (2022). A Review on Recent Trends in Quantum Computation Technology. In Handbook of Research on Quantum Computing for Smart Environments, edited by Amit Kumar Tyagi, pp. 17. Hershey, PA: IGI Global. DOI: 10.4018/978-1-6684-6697-1.ch003. (Scopus Indexed)

    5. Sasi P, Amit Tyagi, and Gulshan Soni (2022). Quantum Computing and the Qubit—The Future of Artificial Intelligence. In Handbook of Research on Quantum Computing for Smart Environments, edited by Amit Kumar Tyagi, pp. 14. Hershey, PA: IGI Global. DOI: 10.4018/978-1-6684-6697-1.ch013. (Scopus Indexed)

    6. Atharva Deshmukh, Disha Sunil Patil, and Gulshan Soni (2022). Cyber Security—New Realities for Industry 4.0 and Society 5.0. In Handbook of Research on Quantum Computing for Smart Environments, edited by Amit Kumar Tyagi, pp. 27. Hershey, PA: IGI Global. DOI: 10.4018/978-1-6684-6697-1.ch017. (Scopus Indexed)

    7. Hariharan R, Amit Kumar Tyagi, and Gulshan Soni (2023). A Survey on Blockchain–Internet of Things-Based Solutions. In Privacy Preservation and Secured Data Storage in Cloud Computing, edited by Lakshmi D. and Amit Kumar Tyagi, pp. 108–134. Hershey, PA: IGI Global. DOI: 10.4018/979-8-3693-0593-5.ch005. (Scopus Indexed)

    8. Amit Kumar Tyagi, Timothy Thomas George, and Gulshan Soni (2023). Blockchain-Based Cybersecurity in Internet of Medical Things (IoMT)-Based Assistive Systems. In AI-Based Digital Health Communication for Securing Assistive Systems, edited by Vijeyananthan Thayananthan, pp. 22–53. Hershey, PA: IGI Global. DOI: 10.4018/978-1-6684-8938-3.ch002. (Scopus Indexed)

    9. Amit Kumar Tyagi, V. Hemamalini, and Gulshan Soni (2023). Digital Health Communication With Artificial Intelligence-Based Cyber Security. In AI-Based Digital Health Communication for Securing Assistive Systems, edited by Vijeyananthan Thayananthan, pp. 178–213. Hershey, PA: IGI Global. DOI: 10.4018/978-1-6684-8938-3.ch009. (Scopus Indexed)

     

    Edited Book Publication Details

    1. Tyagi, A.K., Tiwari, S., and Soni, G. (2025). Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing. Boca Raton, FL: CRC Press.
      ISBN: 9781032769523. (Scopus Indexed)

DR. TEJASWITA MISHRA

Designation: Assistant Professor 
Qualification: Ph.D.
Area of Interest: Machine Learning, Data Analytics, Medical Image Processing, Artificial Intelligence 
Phone No: +91-9109985297
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

DR. SHRADHA DUBEY

Designation: Assistant Professor 
Qualification: Ph.D.
Area of Interest: Computer Vision, Artificial Intelligence, Deep Learning, Medical Image Processing
Phone No: +91-8989695527
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

DR. SUCHITRA AGRAWAL

Designation: Assistant Professor 
Qualification: Ph.D.
Area of Interest: Machine Learning, Optimization Techniques
Phone No: +91-6260008789
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

MS. JYOTI KUMARI

Designation: Assistant Professor 
Qualification: M.Tech., Ph.D. (Pursuing)
Area of Interest: Machine Learning, Deep Learning 
Phone No: +91-7489563916
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.  

MR. MITHUN SAHAY SHRIVASTAVA

Designation: Assistant Professor 
Qualification: M.Tech.
Area of Interest: Computer Network, Wireless & Mobile Communication
Phone No: +91-9584678787 
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

UTKARSH SHARMA

Designation: Assistant Professor 
Qualification: M. Tech (CSE)
Area of Interest: Computer Networks
Phone No: +91-8269149178
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

Prof. Aditi Samadhiya

Designation:  Assistant Professor 
Qualification: M.Tech
Area of Interest:  Machine learning
Phone No: 8147313719
E-Mail:  This email address is being protected from spambots. You need JavaScript enabled to view it.
 

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