Dr. Bhavna Bajpai

Back to Faculty Dr. Bhavna Bajpai Department of CSE Guest Faculty [email protected] Indian Institute of Information Technology, Kota SPL-269, RIICO Industrial Area, Kuber Extension, Ranpur, Kota – 325003, (Rajasthan, India) Qualifications PhD (Department of Computer Science and Engineering), Indian Institute of Technology, Jodhpur M.Tech (Department of Computer Science and Technology), Central University of Punjab, Bhatinda B.Tech (Department of Information Technology), APJ Abdul Kalam Technical University Teaching & Research Experience Assistant Professor Grade I, Amity University, Noida (Oct 2024-Dec 2025) Teaching Assistant (Full-time, Department of Computer Science and Engineering), Indian Institute of Technology, Jodhpur (July 2019- June 2024) Summer internship on designing algorithm for image reconstruction at Indian Institute of Information Technology, Jabalpur (May 2015- July 2015). Research Interests Explainable and Generalized AI Frameworks AI Frameworks for Mental Healthcare, Brain Imaging, Brain-Computer Interface Cognitive Neuroscience, Deep-Brain Stimulation Roles & Responsibilities Reviewer in Scientific Reports (Nature Journal), Neural Networks (Elsevier Journal), Applied Intelligence (Springer Journal), and CogSci Conference. Reviewer in Brain Imaging and Behavior, and BMC Psychiatry Other Notable Information Poster Presented and achieved Best Poster award at NEXT-GEN AI: INSPIRATION FROM BRAIN SCIENCE (NAiBS) 2023. (IIT Jodhpur) Best teaching assistant award for academic semester (July-December) 2022 at IIT Jodhpur. Abstract accepted and presented at Organization for Human Brain Mapping (OHBM) 2023. Abstract accepted and presented at Annual Conference of Cognitive Science 10 (2024). (IIT Kanpur) Abstract accepted and presented at Annual Conference of Cognitive Science 9 (2023). (IIT Delhi) Publications Journals Bhavna, K., Ghosh, N., Banerjee, R., & Roy, D. (2024). Characterization of the Temporal Stability of ToM and Pain Functional Brain Networks Carry Distinct Developmental Signatures during Naturalistic Viewing. (Scientific Report, Nature publication) (DOI: https://doi.org/10.21203/rs.3.rs-3859295/v1) Bhavna, K., Ghosh, N., Banerjee, R., & Roy, D. (2025). A Lightweight, End-to-End Explainable, and Generalized attention-based Graph Neural Network model trained on high-order spatiotemporal organization of dynamic functional connectivity to classify Autistics from typically developing. Network Neuroscience, 1-59. (DOI: https://doi.org/10.1162/netn.a.32) Bhavna, K., Akhter, A., Banerjee, R., & Roy, D. (2024). Explainable Deep Learning Framework: Decoding Brain Task and Prediction of Individual Performance in False-Belief Task at Early Childhood Stage. bioRxiv, 2024-02. (Frontiers in Neuroinformatics) (doi: 10.3389/fninf.2024.1392661) Bhavna, K., Sharma, S., & Rosado, A., (2025). ACVAE: An Attention-Based Contrastive Variational Autoencoder for Identifying ASD Subgroups and Their Association with Gene Expression (Accepted) (Neurocomputing, Elsevier). Banerjee, S., Bhavna, K., & Raychoudhury, T. (2023). Prediction of transport behavior of nanoparticles using machine learning algorithm: Physical significance of important features. Journal of Contaminant Hydrology, 258, 104237. (doi: https://doi.org/10.1016/j.jconhyd.2023.104237) Conferences Maitry A., Abhinandan K., and Bhavna K. (2025). Lightweight 1D-CNN Framework for Stroke Classification and Biomarker Identification from Multimodal Physiological Signals. 5th International Conference on Machine Vision & Augmented Intelligence (MAI-2025).

  • Dr. Bhavna Bajpai
  • Qualifications
  • Teaching & Research Experience
  • Research Interests
  • Roles & Responsibilities
  • Other Notable Information
  • Publications
  • Journals
  • Conferences

Back to Faculty Dr. Bhavna Bajpai Department of CSE Guest Faculty [email protected] Indian Institute of Information Technology, Kota SPL-269, RIICO Industrial Area, Kuber Extension, Ranpur, Kota – 325003, (Rajasthan, India) Qualifications PhD (Department of Computer Science and Engineering), Indian Institute of Technology, Jodhpur M.Tech (Department of Computer Science and Technology), Central University of Punjab, Bhatinda B.Tech (Department of Information Technology), APJ Abdul Kalam Technical University Teaching & Research Experience Assistant Professor Grade I, Amity University, Noida (Oct 2024-Dec 2025) Teaching Assistant (Full-time, Department of Computer Science and Engineering), Indian Institute of Technology, Jodhpur (July 2019- June 2024) Summer internship on designing algorithm for image reconstruction at Indian Institute of Information Technology, Jabalpur (May 2015- July 2015). Research Interests Explainable and Generalized AI Frameworks AI Frameworks for Mental Healthcare, Brain Imaging, Brain-Computer Interface Cognitive Neuroscience, Deep-Brain Stimulation Roles & Responsibilities Reviewer in Scientific Reports (Nature Journal), Neural Networks (Elsevier Journal), Applied Intelligence (Springer Journal), and CogSci Conference. Reviewer in Brain Imaging and Behavior, and BMC Psychiatry Other Notable Information Poster Presented and achieved Best Poster award at NEXT-GEN AI: INSPIRATION FROM BRAIN SCIENCE (NAiBS) 2023. (IIT Jodhpur) Best teaching assistant award for academic semester (July-December) 2022 at IIT Jodhpur. Abstract accepted and presented at Organization for Human Brain Mapping (OHBM) 2023. Abstract accepted and presented at Annual Conference of Cognitive Science 10 (2024). (IIT Kanpur) Abstract accepted and presented at Annual Conference of Cognitive Science 9 (2023). (IIT Delhi) Publications Journals Bhavna, K., Ghosh, N., Banerjee, R., & Roy, D. (2024). Characterization of the Temporal Stability of ToM and Pain Functional Brain Networks Carry Distinct Developmental Signatures during Naturalistic Viewing. (Scientific Report, Nature publication) (DOI: https://doi.org/10.21203/rs.3.rs-3859295/v1) Bhavna, K., Ghosh, N., Banerjee, R., & Roy, D. (2025). A Lightweight, End-to-End Explainable, and Generalized attention-based Graph Neural Network model trained on high-order spatiotemporal organization of dynamic functional connectivity to classify Autistics from typically developing. Network Neuroscience, 1-59. (DOI: https://doi.org/10.1162/netn.a.32) Bhavna, K., Akhter, A., Banerjee, R., & Roy, D. (2024). Explainable Deep Learning Framework: Decoding Brain Task and Prediction of Individual Performance in False-Belief Task at Early Childhood Stage. bioRxiv, 2024-02. (Frontiers in Neuroinformatics) (doi: 10.3389/fninf.2024.1392661) Bhavna, K., Sharma, S., & Rosado, A., (2025). ACVAE: An Attention-Based Contrastive Variational Autoencoder for Identifying ASD Subgroups and Their Association with Gene Expression (Accepted) (Neurocomputing, Elsevier). Banerjee, S., Bhavna, K., & Raychoudhury, T. (2023). Prediction of transport behavior of nanoparticles using machine learning algorithm: Physical significance of important features. Journal of Contaminant Hydrology, 258, 104237. (doi: https://doi.org/10.1016/j.jconhyd.2023.104237) Conferences Maitry A., Abhinandan K., and Bhavna K. (2025). Lightweight 1D-CNN Framework for Stroke Classification and Biomarker Identification from Multimodal Physiological Signals. 5th International Conference on Machine Vision & Augmented Intelligence (MAI-2025).