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. ABHISHEK DIXIT

Designation: Assistant Professor & Coordinator
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. 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. 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.

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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