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

Centre for Artificial Intelligence

  2. Academics
  3. Departments
  4. Centre for Artificial Intelligence
  5. Departments
  6. Computer Science & Engineering
  7. Faculty-Computer

Dr. Pooja Mishra

Designation:  Assistant Professor 
Qualification: B.E. (Hons), M.Tech. (Hons), Ph.D (CSE) ABV-IIITM Gwalior (MP), GATE-Qualified (2014, 2017)
Area of Interest:  Software Defined Wireless Sensor Network (SDWSN), Internet of Things (IoT), Network Optimization, Soft Computing techniques 
Phone No: 8959613395
E-Mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
  • About Faculty: Dr. Pooja Mishra received her Ph.D. from ABV-IIITM Gwalior (M.P.) and her M.Tech. and B.E. degrees from MITS Gwalior. She is currently an Assistant Professor in the Department of Computer Science & Engineering at the Madhav Institute of Technology & Science (MITS), Gwalior, India. Previously, she served as an Assistant Professor at Bennett University (The Times Group), Greater Noida. Her research contributions include several publications in reputed international journals and conferences.
  • Education and Qualification:
      • PhD in Computer Science & Engineering (JAN 2025)
        Atal Bihari Vajpayee-Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior (M.P.), INDIA
      • M.Tech in Information Technology with honour’s degree (CGPA: 8.17) (Jul 2014 - Jun 2016)
        Madhav Institute of Technology & Science, Gwalior (M.P.), INDIA
      • B.Tech in in Information Technology with honour’s degree (Percentage: 76.34% (Jul 2009 - Jun 2013)
        Madhav Institute of Technology & Science, Gwalior (M.P.), INDIA
      • Higher Secondary Certificate, (Percentage: 89.4% School Topper) (June 2008)

                       Govt. Girls H S School Thatipur, Gwalior, M.P.

      •  Senior Secondary Certificate, (Percentage: 77.0%) (June 2006)

                       Govt. Girls H S School Thatipur, Gwalior, M.P.
  • Work Experience:
    • Assistant Professor at Madhav Institute of Technology and Science, Gwalior (Deemed University) (July 2025 - Present)
    • Assistant Professor at Bennett University (The Times Group). (July 2024- July-2025)
    • Assistant Professor (on contract) at Madhav Institute of Technology and Science, Gwalior ( 2017 - July. 2018)
  • Administrative Experience:

    • Project Coordinator (All UG Programs)

    • Alumni Coordinator

    • Internship Coordinator

    • Department NSS Coordinator
  • Honors, Award & Recognition:
    • Post-Graduation MHRD fellowship: July 2014-June 2016
    • Doctoral Junior Research MHRD fellowship: July 2018-july 2020
    • Doctoral Senior Research MHRD fellowship: July 2020-july 2023.
  • Workshop/Conference/Organized/Attended:
    • Completed a 5-day FDP on Deep Learning and Applications, organized by MEITY, Government of India in collaboration with ABV-IIITM Gwalior.
    • Attended a 5-day FDP on Blockchain, AI, and IoT, conducted by AICTE & ABV-IIITM Gwalior.
    • Participated in a 5-day FDP under CIOT-2024, organized by ANRF and Bennett University.
    • Served as an Member, Organizing Committee in a 5-day FDP under CIOT-2024, conducted at Bennett University in collaboration with ANRF.
    • Served as Session Chair and Co-Session Chair during FDP sessions at CIOT-2024 (Bennett University).
  • Publications:

    Journal Publications:

    • Mishra, P., Kumar, N., Godfrey, W.W., 2022. An evolutionary computing-based energy-efficient solution for IoT-enabled software-defined sensor network architecture. International Journal of Communication Systems, 35(8), p.e5111. [SCI, I.F.=2.1]
    • Mishra, P., Godfrey, W.W., Kumar, N. 2024. FGCF: Fault-aware Green Computing Framework in Software-Defined Social Internet of Vehicle. Journal of Supercomputing. [SCI, I.F.=3.3]
    • Mishra, P., Kumar, N., Godfrey, W.W., 2024. QoS enhancement using Hybrid FCM-MRFO Model in Software-Defined Mobile Sensor Network for Industrial IoT, Wireless Networks. [Communicated, Status- Under Review].
    • Gaurav Thapliyal, Pooja Mishra, Neetesh Kumar, 2024. Optimizing Energy Efficiency in MobiHetero-ISN: A Hybrid FCM-GWO Algorithm, Journal of Supercomputing. [Communicated march-2024, Status- Under Review]
    • Mishra, P., Sharma, S., Analysis of Clustering Algorithm for Lifetime Improvement in Wireless Sensor Networks, International Journal of Engineering Trends & Technology (IJETT), May 2016, ISSN: 2231-5381. [Scopus indexed]
    • Mishra, P., Sharma, S., A comparative study of existing cluster-based routing protocols in wireless sensor networks, International Journal of Future Generation Communication and Networking, 9, no. 7 (2016): 43-52. [ESCI]

    International Conferences

    • Mishra, P., Kumar, N. and Godfrey, W.W., 2021, January. A Meta-heuristic-based Green-routing Algorithm in Software-Defined Wireless Sensor Network. In 2021 6th International Conference on Inventive Computation Technologies (ICICT) (pp. 36-41). IEEE. [Published]
    • Mishra, P., Godfrey, W.W. and Kumar, N., 2021, February. A Green Computing-based Algorithm in Software Defined Network with Enhanced Performance. In 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (pp. 953-958). IEEE. [Published]
    • Mishra, P., Godfrey, W.W. and Kumar, N., 2022, November. Fault-tolerance Aware Green Computing Scheme in Software-Defined Vehicular Social Network. In IEEE 6th Conference on Information and Communication Technology (CICT). IEEE. [Published]

Dr. Ashish Tomar

Dr. Ashish Tomar
Designation:  Assistant Professor
Qualification:  Ph.D (IIT ISM Dhanbad), M.Tech (ABV-IIITM Gwalior), B.E (SGSITS Indore)
Area of Interest:  Cryptography, Blockchain, IoT Security, Authentication
Phone No:  8839837532
E-Mail:  This email address is being protected from spambots. You need JavaScript enabled to view it.
  • About Faculty: Dr. Ashish Tomar received his Ph.D. from the Indian Institute of Technology (ISM), Dhanbad, in 2023, an M.Tech. from ABV-Indian Institute of Information Technology & Management, Gwalior, in 2018, and a B.E. from SGSITS Indore in 2015. He is currently working as an Assistant Professor in the Department of Computer Science & Engineering at Madhav Institute of Technology & Science (MITS), Gwalior, Madhya Pradesh, India. He has published several research papers in internationally reputed journals and conferences.
  • Education and Qualification:

    PhD in Computer Science & Engineering (Dec 2023)

    • Indian Institute of Technology (ISM), Dhanbad
    • Thesis Title - Design of Blockchain-Assisted Cryptographic Security Schemes for IoT-Based Applications

     

    M.Tech in Information Security (Jul 2016 - Jun 2018)

    • Atal Bihari Vajpayee-Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior

     

    B.E in Information Technology (Aug 2011 - Jun 2015)

    • SGSITS Indore, MP
  • Work Experience:
    • 11th Sep, 2023 - 15th Feb, 2024: Assistant Professor at Department of Computer Science and Engineering, Manipal University Jaipur, Rajasthan
    • 19th Feb, 2024 - 26th Mar 2025: Assistant Professor at School of Computer Science Engineering and Technology, Bennett University, Greater Noida, Uttar Pradesh
    • 28th Mar, 2025 - Present: Assistant Professor at MITS Deemed to be University, Gwalior, MP
  • Honors, Award & Recognition:
    • Got one year academic scholarship from Army Welfare Education Society, New Delhi, India, for performance in High school.
    • Qualified the All India Engineering Entrance Examination (AIEEE) in 2011 with a rank of 35,458 out of over 10 lakh (1 million) students.
    • Secured 1101 rank in Madhya Pradesh state engineering entrance examination MPPET 2011.
    • Qualified GATE exam in 2015, 2017, and 2018.
  • Workshop/Conference/Organized/Attended:
    • 24th April, 2018 - 25th April, 2018, 3rd International Conference on “Recent Trends in Computer Science & Technology", (ICRTCST-2018), IEEE Kolkata Section, Jamshedpur, India
    • 26th April, 2021 - 30th April, 2021, International Research Workshop on Smart Transportation and Autonomous Systems (STAS-2021), In association with UKIERI (UK India Education and Research Initiative) Projects, Indian Institute of Information Technology (IIIT), Sri City, Chittoor, India
    • 3rd March, 2023 - 5th March, 2023, 5th International Conference on “Recent Advances in Information Technology", (RAIT-2023), IEEE Kolkata Section, IIT(ISM), Dhanbad, India
    • 24th June, 2024 - 28 June 2024, 15th International Conference on Computing Communication and Networking Technologies (ICCCNT 2024), IIT Mandi, Himachal Pradesh, India
  • Publications:
    • Ashish Tomar and Sachin Tripathi. A chebyshev polynomial-based authentication scheme using blockchain technology for fog-based vehicular network. IEEE Transactions on Mobile Computing, volume 23, pages 9075–9089, 2024, (Impact Factor: 7.7).
    • Divya Rani, Sachin Tripathi, and Ashish Tomar. Bsas: blockchain-based shareable authentication scheme for smart healthcare. Cluster Computing, pages 1–25. Springer, 2024, (Impact Factor: 3.6).
    • Arivarasan Karmegam, Ashish Tomar, and Sachin Tripathi. Blockchain-based cross-domain authentication in a multi-domain internet of drones environment. The Journal of Supercomputing, pages 1–28. Springer, 2024, (Impact Factor: 2.5).
    • Ashish Tomar, Sachin Tripathi, and K Arivarasan. A blockchain-based certificateless aggregate signature scheme for fog-enabled smart grid environment. IEEE Transactions on Green Communications and Networking, volume 7, pages 1892–1905, 2023, (Impact Factor: 5.3).
    • Ashish Tomar and Sachin Tripathi. Bcsom: Blockchain-based certificateless aggregate signcryption scheme for internet of medical things. Computer Communications, volume 212, pages 48–62. Elsevier, 2023, (Impact Factor: 4.5).
    • Ashish Tomar, Niraj Gupta, Divya Rani, and Sachin Tripathi. Blockchain-assisted authenticated key agreement scheme for iot-based healthcare system. Internet of Things, volume 23, page 100849. Elsevier, 2023, (Impact Factor: 6.0).
    • Ashish Tomar and Sachin Tripathi. Blockchain-assisted authentication and key agreement scheme for fog-based smart grid. Cluster Computing, volume 25, pages 451–468. Springer, 2022, (Impact Factor: 3.6).
    • Ashish Tomar and Sachin Tripathi. Bcav: Blockchain-based certificateless authentication system for vehicular network. Peer-to-Peer Networking and Applications, volume 15, pages 1733–1756. Springer, 2022, (Impact Factor: 3.3).
    • Ashish Tomar and Joydip Dhar. An ecc based secure authentication and key exchange scheme in multi-server environment. Wireless Personal Communications, volume 107, pages 351–372. Springer, 2019, (Impact Factor: 1.9).
    • Ashish Tomar and Joydip Dhar. Cryptanalysis of hash based multi-server key exchange protocol using smart card. International Journal of Information Technology, volume 11, pages 691–696. Springer, 2019.
    • Ashish Tomar. A blockchain-based scheme to prevent the sybil attack in vanet. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), pages 1–6, 2024.

Dr. Saurabh Agarwal

 
Designation:  Assistant Professor
Qualification:  Ph.D (ABV-IIITM, Gwl), UGC-NET, GATE
Area of Interest:  Medical Imaging, Computer Vision, Deep Learning, AI/ML
Phone No:  8109964724
E-Mail:  This email address is being protected from spambots. You need JavaScript enabled to view it.
 
 
  • About Faculty: Dr. Saurabh Agarwal is an accomplished academic with a Ph.D. in Computer Science & Engineering from ABV-IIITM Gwalior. With over nine years of teaching experience, his expertise spans Deep Learning, Medical Image Processing, and Artificial Intelligence. He has published extensively in reputed journals, including IEEE Transactions and Soft Computing. Dr. Agarwal is a certified Microsoft Technology Associate and has qualified UGC-NET and GATE multiple times. He is actively involved in academic training, research, and institutional development initiatives.
  • Education and Qualification:

    Doctor of Philosophy at ABV-IIITM, Gwalior, India 2024
    - Ph.D. in Computer Science and Engineering (CSE), ABV-Indian Institute of Information Technology & Management, Gwalior – 474015, India.
    - Thesis Title: Models for Diagnosis of Pulmonary Diseases using Deep Learning Techniques
  • Honors, Award & Recognition:
    • Qualified the UGC-NET for the position of Assistant Professor in December 2018.
    • Qualified for GATE (CSE) in the years 2009, 2011, 2012, 2015, and 2020.
    • Achieved Microsoft Technology Associate (MTA) certification in Database Administration Fundamentals, with certification number EFAL-XVNr.
    • Winner of Ph.D. poster presentation competition during Atal Research & Incubation Conclave (ARIC) – 2023 held at Technology Innovation & Incubation Center (TIIC), ABV-Indian Institute Technology & Management, Gwalior.
  • Publications:

    1. S. Agarwal, K. V. Arya and Y. Kumar Meena, "CNN-O-ELMNet: Optimized Lightweight and Generalized Model for Lung Disease Classification and Severity Assessment," in IEEE Transactions on Medical Imaging, vol. 43, no. 12, pp. 4200-4210, Dec. 2024, doi: 10.1109/TMI.2024.3416744 [SCI IF: 10.3].

    2. S. Agarwal, K. V. Arya, and Y. K. Meena “MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification,” in Soft Computing vol. 28, pp. 11535–11551, Oct. 2024, DOI: 10.1007/s00500-024-09901-x, 2024 [SCI IF: 3.1].

    3. S. Agarwal and K. V. Arya, “CXRNet: CNN Attention-based CXR image classifier,” Expert Systems, 42(1), e13423, Aug 2023, DOI: 10.1111/exsy.13423 [SCI IF: 3].

    4. S. Agarwal and K. Agarwal, "Pi-calculus based formal verification of Web Services Composition," International Journal of Grid and Distributed Computing, vol. 8, no. 5, pp. 137–140, 2015 doi: 10.14257/ijgdc.2015.8.5.13. [ESCI Indexed]

    5. S. Agarwal and K. V. Arya, “Covid-19 & Pneumonia Detection Using Multi Model Fusion,” International Journal of Engineering Sciences, vol. 14, no. 4, 2022, doi: 10.36224/ijes.140401.

    6. S. Agarwal, N. Tiwari, and M. Dubey, “Checking of web services composition through online movie ticket booking example,” International Journal of Computer Science Research, vol. 5, no. 1, pp. 1-5, 2017.

    7. S. Agarwal, S. Tiwari, and S. Pathak, “Describing and Verifying Web Services Composition using PICalculus,” International Journal of Current Engineering and Scientific Research (IJCESR),pp. 89–93, ISSN (PRINT): 2393-8374, (ONLINE): 2394-0697, VOLUME-3, ISSUE-1, 2016, doi:10.21276/Ijcesr.

    8. S. Pathak, S. Tiwari, and S. Agarwal, “Digital Image Watermarking in wavelet domain using chaotic sequence,” International Journal of Current Engineering and Scientific Research (IJCESR), pp. 76–81, ISSN (PRINT): 2393-8374, (ONLINE): 2394-0697, VOLUME-3, ISSUE-1, 2016, doi:10.21276/Ijcesr.


    National/ International Conferences–

    1. A. Verma, S. Agarwal, K. V. Arya, I. Petrlik, R. Esparza and C. Rodriguez, "Image Captioning with Reinforcement Learning," 2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI), Gwalior, India, 2023, pp. 1–7, doi: 10.1109/CVMI59935.2023.10464514. [Scopus]

    2. S. Agarwal, D. Yashwanth, K. V. Arya, C. Rodriguez, and P. Lezama, “Enhanced Bidirectional GRUs with Self-Attention for Medical Image Report Generation: A Deep Learning Approach,” Accepted in 8th International Conference on Intelligent Technologies (ICIT) 2023 at University of Matana, Jakarta, Indonesia. [Scopus]

    3. M. Kourav, S. Agarwal, K. V. Arya, I. Petrlik, and C. Rodriguez, “Automatic Chest Radiology Report Generation Using Reinforcement Learning,” Proceedings of 7th ASRES International Conference on Intelligent Technologies, pp. 239–247, 2023. doi: 10.1007/978-981-99-1912-3-22. [Scopus]

    4. S. Agarwal, S. Tiwari, and S. Pathak, “Describing and Verifying Web Services Composition using PI-Calculus,” Proceedings of International Conference on Futuristic Trends in Engineering, Science, Humanities, and Technology, pp. 119–123, 2016.

    5. S. Pathak, S. Tiwari, and S. Agarwal, “Digital Image Watermarking in wavelet domain using chaotic sequence,” Proceedings of International Conference on Futuristic Trends in Engineering, Science, Humanities, and Technology, pp. 108–113, 2016.

    6. Attend the international conference at the “International Conference on Artificial Intelligence and Soft Computing” (AISC-12) held in IIT, BHU, Varanasi, 2012. [IEEE UP Section]

Dr. Manojeet Roy

Designation:  Assistant Professor
Qualification: B.Tech CSE, M.Tech CSE, PhD CSE (NIT Silchar) GATE- 2014  Qualified
Area of Interest:  Computer Vision, Deep Learning & Machine Learning
Phone No: 9993649781
E-Mail:  This email address is being protected from spambots. You need JavaScript enabled to view it.

 

  • About Faculty: I am Dr. Manojeet Roy, a researcher and academician with a Ph.D. in Computer Science & Engineering from NIT Silchar. My research interests lie primarily in computer vision, image processing, and medical AI, with a focus on developing intelligent systems for disease detection using deep learning and ensemble modeling techniques.
  • Education and Qualification: 
    Doctor of Philosophy (Ph.D.) in Computer Science & Engineering
    National Institute of Technology (NIT), Silchar, Assam.


    Master of Technology (M.Tech.) in Computer Science & Engineering
    Chhattisgarh Swami Vivekanand Technical University (CSVTU), Bhilai, C.G..


    Bachelor of Technology (B.Tech.) in Computer Science & Engineering
    Pt. Ravishankar Shukla University (Pt. RSSU), Raipur,C.G..
  • Work Experience:

    Assistant Professor
    Dept. of Comp. Sc., MITS-DU, Gwalior,(MP), India 24-03-2025– Till Date


    Assistant Professor Senior Scale 01-07-2024– 17-03-2025
    SoCS, UPES Dehradun NIRF-42 Dehradun, Uttarakhand India


    Assistant Professor 05-08-2013– 06-01-2020
    Dept. of Comp. Sc., CSIT, under CSVTU Bhilai (CG), India


    Lecturer 07-07-2008– 03-01-2011
    Dept. of Comp. Sc., CSIT, under CSVTU Bhilai (CG), India
  • Workshop/Conference/Organized/Attended: 
    Workshops, FDPs, Conferences & Professional Activities

    2026

    April 2026
    IEEE – EBSCO Information Services, India
    Participated in IEEE training sessions on “IEEE Xplore,” “VTU–IEEE Xplore,” and “IEEE CSDL” conducted by EBSCO Information Services on 16 April 2026. Awarded a Certificate of Participation.

    April 2026
    Madhav Institute of Technology & Science (MITS-DU), Gwalior, India
    Participated in the Author Workshop on “ScienceDirect: Mastering ScienceDirect & Research Article Writing Fundamentals” held on 15 April 2026. Awarded a Certificate of Participation.

    January 2026
    Madhav Institute of Technology & Science (MITS-DU), Gwalior, India
    Delivered a session on “Professional Resume Building” during ‘LevelUp: The IEI LaunchPad’, organized by the IEI Student Chapter (CSE) on 30 January 2026. Received a Certificate of Appreciation (Ref. No.: MITS-DU-202630-10000).
    2025

    November 2025
    Madhav Institute of Technology & Science (MITS), Gwalior, India
    Successfully completed a One-Week Faculty Development Program on “Data Science Using Python”, organized under the AICTE ATAL Academy, held from 10–15 November 2025.

    November 2025
    Madhav Institute of Technology & Science (MITS), Gwalior, India
    Served as Session Coordinator (TS-04: Embedded Systems & VLSI Design) at the 7th International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering & Technology (ICSISCET 2025), held on 1–2 November 2025. Awarded a Certificate of Appreciation.

    July–September 2025
    NPTEL (IIT Madras)
    Successfully completed an 8-week online course on “Introduction to Operating Systems” under the SWAYAM initiative (MHRD).

    February–March 2025
    Electronics and ICT Academy (NIT Patna & NIT Jamshedpur)
    Participated in a One-Week Faculty Development Program on “Machine Learning for Multimedia Forensics”, held from 28 February to 4 March 2025 under Phase-II of the ICT Academy scheme.
    2024

    January 2024
    DST-SERB (Vigyan Scheme), NIT Silchar
    Participated in a DST-SERB Sponsored One-Week High-End Workshop (Karyashala) on “Hands-on Training on Computational Intelligence for Health Informatics and Wearable Device Data Analysis.”
    2020

    January 2020
    NIT Silchar & Guwahati University
    Attended the workshop on “Machine Learning and Computer Vision Applications & Research Challenges (MLCV-2020).”
  • Publications:

    SCI/SCIE/Scopus Indexed International Journal Publications

    1. Roy, M.; Baruah, U.
    “Enhancing Medical Image Classification through Controlled Diversity in Ensemble Learning”
    Engineering Applications of Artificial Intelligence, 2024.
    DOI: 10.1016/j.engappai.2024.108138
    EID: 2-s2.0-85186888044 | ISSN: 0952-1976
    Indexing: SCI

    2. Roy, M.; Baruah, U.; Varma, V.
    “TransDL: A Transfer Learning-Based Concatenated Model for COVID-19 Identification and Analysis of Posteroanterior Chest X-ray Images”
    Multimedia Tools and Applications, 2024.
    DOI: 10.1007/s11042-023-16825-5
    EID: 2-s2.0-85171457419 | ISSN: 1573-7721, 1380-7501
    Indexing: SCI

    3. Roy, M.; Baruah, U.; Sharma, S.; Dey, P.; Rawat, M.; Paul, B.
    “Enhancing Predictive Modeling Using CT and CXR Images: A Review of Lung Disease Detection and Experimental Insights”
    SN Computer Science, 2025.
    DOI: 10.1007/s42979-025-04041-x
    Indexing: Scopus

    4. Gupta, S.; Roy, M.; Pusarla, N.; Aston, P. J.; Gupta, K.; Bajaj, V.
    “3D Attractor Reconstruction for Enhanced ECG Classification of Arrhythmia and Congestive Heart Failure”
    IEEE Sensors Journal, 2025.
    DOI: 10.1109/JSEN.2025.3572080
    Indexing: SCI

    Conference Publications
    International Conferences

    1. Roy, M.; Baruah, U.; Rajak, S.
    “Challenges in COVID-19 Detection and the Imperative for Improved Methods”
    International Conference on Advances in Computing, Control, and Telecommunication Technologies (ACT 2024), 2024.
    EID: 2-s2.0-85209154277 | ISBN: 979-8331300579

    2. Rajak, S.; Baruah, U.; Roy, M.
    “A Novel Hybrid Approach for Multi-Class Classification of Hindi Hostile Online Posts”
    Published in Communications in Computer and Information Science (CCIS), 2026.
    DOI: 10.1007/978-3-032-14531-4_25
    ISBN: 978-3-032-14530-7, 978-3-032-14531-4
    ISSN: 1865-0929, 1865-0937

Dr. Kirti Raj Bhatele

Designation:  Assistant Professor
Qualification: B.E. , M.Tech. (Hons) (IT), PGDCL, Ph.D (IT)
Area of Interest:  Medical Imaging and AI, Deep Transfer Learning
Phone No:  918823872288
E-Mail:  This email address is being protected from spambots. You need JavaScript enabled to view it.

 

  • About Faculty: Dr. Kirti Raj Bhatele is currently working as an Assistant Professor in the Department of Computer Science & Engineering at Madhav Institute of Technology & Science, Deemed University, Gwalior. He holds a Ph.D. in the faculty of Computer Science & Engineering and Information Technology from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, specializing in Machine and Deep Learning applications in Medical Imaging. With over ten years of teaching and research experience, Dr. Bhatele has published extensively in SCI, SCIE, and Scopus-indexed journals and has been awarded prestigious research fellowships. His notable contributions include innovative detection and classification methods for Glioma (Brain Tumor) and Central Nervous System brain tumors. Dr. Bhatele also holds an international patent and has authored numerous book chapters focusing on the role of AI in Medical Imaging and Cybersecurity. Additionally, he has edited several books for esteemed publishing houses, including CRC Press, Taylor & Francis, and Nova Publishers, USA.
  • Education and Qualification:
      • Ph.D.

            In the faculty of Computer Science & Engineering and Information Technology from the Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India.

      • M.Tech.

                In the Information Technology (IT) 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:

    • 24th March 2025 to Present 

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

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

    • 16th August 2016 to 22nd March 2025 in the RJIT, Border Security Force Academy Tekanpur
  • Research Supervision:

    Currently supervising one PhD scholar and M.Tech scholar
  • Honors, Award & Recognition:

    • Selected for a Post-Doctoral Fellowship at Labex Primes, Université de Lyon, France.

    • Awarded Research Fellowships from the MP Council of Science & Technology, Bhopal (2017, 2018, 2019).

    • Editor of a book titled as "Digital Twin Technology for Better Health: A Healthcare Odyssey" publsihed by CRC Press, Taylor & Francis group, 2025. ISBN 9781032802343.
    • Editor of a book titled as "A Compendium of Responsible Artificial Intelligence (Responsible Technology and Intelligence)" published by CRC Press, Taylor & Francis Group, 2025.ISBN 9781032825274
    • Editor of a book Titled as "The Emerging Role of AI Based Expert Systems in Cyber Defense and Security", published by Nova Publishers, USA, 2025, ISBN: 979-8-89113-841-4.
  • Workshop/Conference/Organized/Attended:

    As a CoCoordinator organized a externally funded one week Faculty Development Programme titled as "Cybersecurity in the Age of GenAI: Threats, Defenses, and Intelligent SOCs with LLM Integration" during 31st December to 5th Jan. 2026.
  • Publications:
    • Kirti Raj Bhatele and Sarita Singh Bhadauria. "Brain structural disorders detection and classification approaches: a review." Artificial Intelligence Review 53.5 (2020): 3349-3401. (SCIE Indexed Journal, Impact Factor: 11.7)
    • Kirti Raj Bhatele and Sarita Singh Bhadauria. "Machine learning application in glioma classification: review and comparison analysis." Archives of Computational Methods in Engineering 29.1 (2022): 247-274.(SCIE Indexed Journal, Impact Factor: 9.9)
    • Kirti Raj Bhatele and Sarita Singh Bhadauria. "Multiclass classification of central nervous system brain tumor types based on proposed hybrid texture feature extraction methods and ensemble learning." Multimedia Tools and Applications 82.3 (2023): 3831-3858. (Scopus Indexed Journal, Impact Factor: 2.9)
    • Kirti Raj Bhatele and Sarita Singh Bhadauria. "Glioma Segmentation and Classification System Based on Proposed Texture Features Extraction Method and Hybrid Ensemble Learning." Traitement du signal 37.6 (2020). (SCI Indexed Journal, Impact Factor: 1.2)
    • Kirti Raj Bhatele et al. "Neurodegenerative diseases-Caps: a capsule network based early screening system for the classification of neurodegenerative diseases." Cognitive Neurodynamics 16.6 (2022): 1361-1377.(SCIE Indexed Journal, Impact Factor: 3.5)
    • Kirti Raj Bhatele et al. "Covid-19 detection: A systematic review of machine and deep learning-based approaches utilizing chest X-rays and CT scans." Cognitive Computation 16.4 (2024): 1889-1926.(SCIE Indexed Journal, Impact Factor: 4.0).
    • Tiwari, D., Bhatele, K. R. et al. (2025). Electrical digital twins–enabled smart grid. In Digital Twins for Smart Cities and Villages (pp. 489-512). Elsevier.
    • Jha, A., Bhatele, K. R., Sharma, C., & Tripathi, A. (2023). Online ducation E and Its Repercussions on Engineering Students During Covid-19: A Survey. Journal of Engineering Education Transformations, 36(3). (Scopus Indexed).
    • Kirti Raj Bhatele et al.(2012, November). A Performance-Centric Comparative Study of Hybrid Security Protocol Architectures. In Proceedings of All India Seminar on  Engineering 2012 (AISOBE 2012) (pp. 231-238). India: Springer India.(Scopus Indexed).
    • Jha, A., Pahareeya, J., Bhatele, K., & Patsariya, S. (2023, March). EDA and Predicting Customer’s Response for Cross-Sell Vehicle Insurance. In International Conference on Information Technology (pp. 157-168). Singapore: Springer Nature Singapore.(Scopus Indexed).
    • Kirti Raj Bhatele et al. (2020). Data Analysis on Global Stratification. In Multi-Criteria Decision Analysis in Management (pp. 355-378). IGI Global.
    • Tiwari, D., Jha, A., Ahmad, M.T., Bhatele, K.R., Dixit, M. (2025). A novel hybrid deep learning approach for COVID-19 detection using CT scans and chest X-rays: CovVoxTrada. Traitement du Signal, Vol. 42, No. 5, pp. 2877-2892. https://doi.org/10.18280/ts.420537. (SCIE Indexed Journal, Impact Factor: 1.0)

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