School of Engineering
& Sciences

Foundation to Fly, Metaverse to Thrive

Ms. Jyoti Kumari

Assisstant Professor

Ms. Jyoti Kumari
  • qualification
    Qualification

    B.tech(CSE), Mtech(CSE),Phd(Pursuing)

  • university
    College/University

    BTech in CSE from ITM Gwalior, Mtech in CSE from MITS Deemed University, Phd (Pursuing) from Amity University Gwalior

Ms. Jyoti Kumari is an Assistant Professor in the Department of Computer Science and Engineering, specializing in Machine Learning and Artificial Intelligence. Her research primarily focuses on AIML (Artificial Intelligence and Machine Learning), data analytics, and related cutting-edge areas.

She has authored and published numerous research papers in the field of AIML, contributing valuable insights to the academic and scientific community.

Dedicated to shaping the next generation of technologists, she is committed to preparing students for successful careers in technology and research. Through her teaching, she instills a strong foundation in core concepts, emphasizes hands-on practical experience, and cultivates an innovative mindset. Her pedagogical approach goes beyond traditional instruction by inspiring students to explore novel ideas, adopt emerging techniques, and stay aligned with the latest industry trends and technological advancements.

Education:

B.tech(CSE), Mtech(CSE),Phd(Pursuing)

Research:

  • J. Kumari, N. Mangal, and M. Mishra, “Skin cancer detection using machine learning and dermoscopic imaging,” International Journal of Darshan Institute on Engineering Research and Emerging Technologies, vol. 14, 1 2025.
  • A. Dubey, S. M. Dubey, J. Kumari, P. Yadav, and G. Sharma, “Forecasting wind speed using clustering of trend-based time series data,” Int. J. Exp. Res. Rev (Scopus), vol. 42, pp. 40–49, 2024. _ doi: https://doi.org/10.52756/ijerr.2024.v42.004.
  • A. Dubey, P. Yadav, C. P. Bhargava, T. Pathak, J. Kumari, and D. S. and, “Classification of breast cancer histopathological images using residual learning-based cnn,” KSII Transactions on Internet and Information Systems (SCIE), vol. 18, no. 12, pp. 3365–3389, Dec. 2024. _ doi: 10.3837/tiis.2024.12.002.
  • P. Yadav, C. P. Bhargava, D. Gupta, J. Kumari, A. Acharya, and M. Dubey, “Breast cancer disease prediction using random forest regression and gradient boosting regression,” Int. J. Exp. Res. Rev (Scopus), vol. 38, pp. 123–137, 2024. _doi: https://doi.org/10.52756/ijerr.2024.v38.012.
  • Publications 20+
  • Research Interests Machine Learning, Artificial Intelligence, deep learning
  • Books/ Book Chapters
    • J. kumari (Author), The Data Analytics Blueprint: Techniques, Tools Applications for the Digital Age. Kindle, Amazon, 2025, isbn: 978-9334289886.
    • P. Yadav, J. Kumari, C. P. Bhargava, and D. Gupta, The art and science of machine learning:A journey intointelligent systems. Kindle, Amazon, 2024, isbn: 978-93-340-5242-8.
    • J. Kumari, S. Sharma, and P. Yadav, Movie Recommendation System Using Convolution Neural Network.OmniScriptum S.R.L. 120 High Road, East Finchley London, N2 9ED United
  • Conferences
    • J. Kumari, “Early alzheimer’s detection via multimodal sleep profiling and machine learning,” in International Conference on AI/ML Synergies in Computing and Engineering (IntelliFusion 2k25), Gwalior, India, Aug. 2025.
    • J. Kumari, A. S. Ghuraiya, M. Chaudhary, H. S. Tomar, and A. Banbariya, “Triad analytics: Churn, anomalies, and clv in telecom using machine learning,” in 2025 IEEE International Conference on Intelligent Signal Processing and Effective Communication Technologies (INSPECT), IEEE, 2025, pp. 1–6.
    • J. Kumari and G. Shyam, “Hybrid cnn-rnn model for enhanced alzheimer’s and dementia diagnosis,” in IEEE International Conference on Data, Energy and Communication Networks, Oriental Institute of Science Technology, Bhopal, Dec. 2025.
    • J. Kumari and G. Shyam, “Multimodal deep learning for early alzheimer’s disease prediction using adni mri, pet and csf biomarkers,” in 5 th International Conference on Internet of Things: Smart Innovation Usage, Swami Rama Himalayan University (SRHU), Nov. 2025.
  • Featured in NA

Courses/Programmes:

B.Tech(CSE, AIML, CYBER SECURITY ,IOT,DS)

Teaching interests:

  • Machine Learning
  • Artificial Intelligence
  • Deep learning
  • C programming
  • Data structures

Work Experience:

4.5 years

MDPs/FDPs:

  • Participated in the " 2-Day Workshop: Data analysis for creative problem solving in startups " organized by the Department of Computer Science and Engineering and The Institute’s Innovation Council, ITM Gwalior on 17-18 April 2025.
  • IKS-TKDLWorkshop-7 on "Traditional Knowledge - Intellectual Property and People’s Rights," 1 April- 7 April 2025.
  • One week FDP on " Blockchain: The Next Frontier in Cybersecurity and Privacy" organized by marathwada mitra mandal’s college of engineering, pune, 20th - 24th Aug 2024.
  • Participated in the " NPTEL E-Awareness workshop" on 1st aug 2024.
  • One-week international FDP on " AI for sustainable development" organized by VIT pune, IEEE pune section, 05th - 9th Aug 2024.
  • Organized Two days workshop on "Machine Learning and Data Analytics using Python",in ITM CSE Department, 03rd - 04th Jan 2024.
  • Organized the Event of "TEDX" in the ITM University, 2024.
  • Oneweek ATAL FDP on “AI Evolution fromfoundation to generative AI”, organized by Tech Saksham,29th - 2nd Feb 2024.
  • NPTEL Eight week online course on “Machine Learning, ML” from Indian Institute of Technology (IIT) Madras, Jan-march 2024.

Professional Memberships:

Membership. International Association of engineers,(IAENG).

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