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. Kirti Raj Bhatele

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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