Mrs. Indrani Mukherjee

  • Designation:Assistant Professor Department:Computer Science and Engineering Experience:8 Years Specialization:Machine Learning, Deep Learning, Internet of Things, Graph Theory and visual Cryptography.

    Indrani Mukherjee is an Assistant Professor in the Department of Computer Science & Engineering at OmDayal Group of Institutions, Uluberia. Born and raised in Asansol, she completed her B.Tech from Bengal College of Engineering & Technology for Women and earned her M.Tech from the National Institute of Technical Teachers’ Training and Research, Kolkata. Currently, she is pursuing her Ph.D. from Maulana Abul Kalam Azad University of Technology. With around eight years of academic and research experience, she has authored numerous publications in her field and continues to contribute actively to the advancement of computer science education and research. Her research interests are on Machine Learning, Deep Learning, Internet of Things, Graph Theory and visual Cryptography.

    Research & Publications

    1. Soryradip Ghosh, Indrani Mukherjee, Suparna Biswas. “Machine Learning Algorithms For Data-Driven Modelling: Technique, Method & Applications”. Chapter 5. Data-Driven ModellingsByWilley.Https://Doi.Org/10.1002/9781394287925.Ch3
    2. TanishkaChakraborty, Indrani Mukherjee, Suparna Biswas. “Neural Networks And Deep Learning In Data- Driven Modelling: Technique, Method & Applications”. Chapter 6. Data-Driven ModellingsBy Willey. .Https://Doi.Org/10.1002/9781394287925.Ch4

    Seminar/Conference/workshop/Training

    1. A.Nag, A.Patra, I.Mukharjee, And S.Biswas, "Artificial Intelligence In Human Activity Recognition (Har) For Data-Driven Urban Planning: A Review." In Proceedings Of The International Conference On Digital Economy And Computational Technologies (Icdec 2025), Springer, 2025. (Accepted).
    2. A. Nag, S. Prasad And I. Mukharjee. “Machine Learning-Based Fall Detection System Using Mobile Sensor Data In Geriatric Healthcare”. Comsia [IotAnd Ai Empowered Intelligent Applications]. Springer. LnnsSeries(Scopus). March.2026.(Accepted)
    3. A. Nag, I. Mukharjee, And S. Biswas, "Advancing Healthcare With Machine Learning: Predictive Models For Neurological And Chronic Diseases," In Proc. 2nd Int. Conf. Artif. Intell. Sustain. Comput. (Aisc 2025), Springer, 2025. (Presented).
    4. Mukherjee, I., Bhattacharjee, P., Biswas, S. (2023). Evaluation Of A Hybrid Dataset For Risk Assessment Of Heart Disease. In: Tiwari, R., Pavone, M.F., Saraswat, M. (Eds) Proceedings Of International Conference On Computational Intelligence. Icci 2022. Algorithms For Intelligent Systems.Springer, Singapore. Https://Doi.Org/10.1007/978-981-99-2854-5_15.
    5. IndraniMukherjee,PratikBhattacharjee, SuparnaBiswas.”Revolutionizing Healthcare: The Role Of Smartphones And Iot In Smart Healthcare Implementation”. 2nd International Conference On Women In Multifaceted Research (Icwmr)-2024.Elsevier. 11th-12th March,2024.

    Special Achievement

    1. Mrs. Indrani Mukherjee acted as paper reviewer for International Conference on
    2. Mrs. Indrani Mukherjee, Assistant Professor, CSE has published a Book, titles “Design and Implementation of a Technique to Test ” with Chyren Publication on April.2025.
    3. Implementation of a Technique to Test ” with Chyren Publication on April.2025.