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Dr. Debanjali Bhattacharya

Assistant Professor (Sr. Gd.), School of Artificial Intelligence, Bengaluru

Qualification: M.Tech., Ph.D
b_debanjali@blr.amrita.edu
Google Scholar Profile
Research Interest: Cognitive Neuroscience, Medical Image Analysis, Signal and Image Processing, Biosignal analysis, Bio-statistics in Health Science, Machine Learning, Deep Learning, Computer Vision.

Bio Publications Awards
Bio

Dr. Debanjali Bhattacharya is currently serving as an Assistant Professor (Sr. Gd.) in the School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Bengaluru. She earned her Ph.D in medical image processing from International Institute of Information Technology (IIITB), Bangalore. She has obtained her M-Tech in Mechatronics and Robotics from Indian Institute of Engineering Science and Technology (IIEST), Kolkata. She is a recipient of Gold Medal in Ph.D and the Silver Medal in her M-Tech. She has 2.5 years of postdoc experience from IIIT Bangalore and Centre for Brain Research, IISc Bangalore. Her academic portfolio includes numerous publications in prestigious international journals and conferences. She has over of 13 years of experience in teaching and research. Her research area includes multi-modal medical image processing, cognitive neuroscience, biosignal analysis, Machine learning, deep learning, computer vision.

Publications

Conference Paper

Year : 2025

Contextual Corpus Callosum Analysis for Differentiating Early and Late Mild Cognitive Impairment

Cite this Research Publication : Vamshi Krishna Kancharla, Debanjali Bhattacharya, Neelam Sinha, Contextual Corpus Callosum Analysis for Differentiating Early and Late Mild Cognitive Impairment, 2025 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, 2025, https://doi.org/10.1109/embc58623.2025.11254241

Publisher : IEEE

Year : 2025

Image complexity-based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning

Cite this Research Publication : Debanjali Bhattacharya, Neelam Sinha, R. Yashwanth, Amit Chattopadhyay, Image complexity-based fMRI-BOLD visual network categorization across visual datasets using topological descriptors and deep-hybrid learning, Scientific Reports, Springer Science and Business Media LLC, 2025, https://doi.org/10.1038/s41598-025-20635-0

Publisher : Springer Science and Business Media LLC

Journal Article

Year : 2025

Towards understanding the functional connectivity patterns in visual brain network

Cite this Research Publication : Debanjali Bhattacharya, Neelam Sinha, Towards understanding the functional connectivity patterns in visual brain network, Medical & Biological Engineering & Computing, Springer Science and Business Media LLC, 2025, https://doi.org/10.1007/s11517-025-03389-9

Publisher : Springer Science and Business Media LLC

Year : 2025

Persistent homology for MCI classification: a comparative analysis between graph and Vietoris-Rips filtrations

Cite this Research Publication : Debanjali Bhattacharya, Rajneet Kaur, Ninad Aithal, Neelam Sinha, Thomas Gregor Issac, Persistent homology for MCI classification: a comparative analysis between graph and Vietoris-Rips filtrations, Frontiers in Neuroscience, Frontiers Media SA, 2025, https://doi.org/10.3389/fnins.2025.1518984

Publisher : Frontiers Media SA

Year : 2025

Non-linear dynamics in ECG: a novel approach for robust classification of cardiovascular disorders

Cite this Research Publication : Suraj Kumar Behera, Debanjali Bhattacharya, Ninad Aithal, Neelam Sinha, Non-linear dynamics in ECG: a novel approach for robust classification of cardiovascular disorders, npj Cardiovascular Health, Springer Science and Business Media LLC, 2025, https://doi.org/10.1038/s44325-024-00038-2

Publisher : Springer Science and Business Media LLC

Year : 2024

Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment

Cite this Research Publication : Ninad Aithal, Debanjali Bhattacharya, Neelam Sinha, Thomas Gregor Issac, Leveraging Persistent Homology for Differential Diagnosis of Mild Cognitive Impairment, Lecture Notes in Computer Science, Springer Nature Switzerland, 2024, https://doi.org/10.1007/978-3-031-78198-8_2

Publisher : Springer Nature Switzerland

Year : 2024

Analyzing Brain Tumor Connectomics Using Graphs and Persistent Homology

Cite this Research Publication : Debanjali Bhattacharya, Ninad Aithal, Manish Jayswal, Neelam Sinha, Analyzing Brain Tumor Connectomics Using Graphs and Persistent Homology, Lecture Notes in Computer Science, Springer Nature Switzerland, 2024, https://doi.org/10.1007/978-3-031-73967-5_4

Publisher : Springer Nature Switzerland

Year : 2021

Determining chromosomal arms 1p/19q co-deletion status in low graded glioma by cross correlation-periodogram pattern analysis

Cite this Research Publication : Debanjali Bhattacharya, Neelam Sinha, Jitender Saini, Determining chromosomal arms 1p/19q co-deletion status in low graded glioma by cross correlation-periodogram pattern analysis, Scientific Reports, Springer Science and Business Media LLC, 2021, https://doi.org/10.1038/s41598-021-03078-1

Publisher : Springer Science and Business Media LLC

Year : 2020

A New Statistical Framework for Corpus Callosum Sub-Region Characterization Based on LBP Texture in Patients With Parkinsonian Disorders: A Pilot Study

Cite this Research Publication : Debanjali Bhattacharya, Neelam Sinha, Shweta Prasad, Pramod Kumar Pal, Jitender Saini, Sandhya Mangalore, A New Statistical Framework for Corpus Callosum Sub-Region Characterization Based on LBP Texture in Patients With Parkinsonian Disorders: A Pilot Study, Frontiers in Neuroscience, Frontiers Media SA, 2020, https://doi.org/10.3389/fnins.2020.00477

Publisher : Frontiers Media SA

Awards
  • Gold Medalist in Ph.D; Awarded Prof. Ravi Ravidran Gold Medal for Best Ph.D Thesis from IIIT Bangalore, July 2022.
  • Silver Medalist in M-Tech; Ranked 1st in the department of Mechatronics and Robotics, Indian Institute of Engineering, Science and Technology (IIEST), February 2011.
  • Received Best Paper Award at International Conference by Indian Society of Neuro-Oncology (ISNOCON 2019) for the research paper “Spectral estimate to determine 1p/19q co-deletion status in grade-III glioma”, 2019.
  • CSIR-JRF at CMERI Durgapur from 2009-2010
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