"Our lives are not determined by what happened to us, but how we react to what happens; not by what life brings to us, but by the attitude we bring to life. A positive attitude causes a chain reaction of positive thoughts, events and outcomes. It is a catalyst - a spark that creates extraordinary results." --- Anonymous.
Ananda Shankar Chowdhury
Electronics and Telecommunication Engineering
Jadavpur University
Kolkata, India.
I am a Professor in the department of Electronics and Telecommunication Engineering (E.T.C.E.) at Jadavpur University (J.U.), India. I served the department as Head for two years (from 03.07.2020 to 02.07.2022). My office room (no. T-5A-2) is located on the 4th floor of Prayukti Bhavan in the main campus of the university. At J.U., I formed the Imaging, Vision and Pattern Recognition (IVPR) group. I am a senior member of IEEE, an IAPR TC-member of Graph based Representations in Pattern Recognition (GbR), and a life member of the Indian Unit for Pattern Recognition and Artificial Intelligence (IUPRAI). I currently serve IEEE Transactions on Image Processing as an Associate Editor, and Pattern Recognition Letters as an Area Editor. Earlier, I had served Springer Nature Computer Science, Pattern Recognition Letters, and IEEE Signal Processing Letters in the capacities of Associate Editor, and Senior Area Editor. I have held invited academic visits to universities in France, Germany, Norway, Italy, The Netherlands, Singapore and Brazil.
Before joining Jadavpur University, I was a post-doctoral fellow in the department of Radiology and Imaging Sciences at National Institutes of Health, USA for the period August 2007 to December 2008, where I worked under the aegis of Ronald Summers. I obtained my Ph.D. in Computer Science from the University of Georgia, USA in July 2007. My doctoral thesis adviser was Suchendra Bhandarkar. During my doctoral years, by co-authoring papers with Robert Robinson, I had earned an Erdӧs Number of 2 for myself. Earlier, I obtained a B.Sc (Hons.) in Physics from Presidency College in 1996, a B.Tech. in Electronics and Telecommunication Engineering from Institute of Radiophysics and Electronics in 1999, and an M.E. from the department of Electronics and Telecommunication Engineering (E.T.C.E.) at Jadavpur University with a specialization in Computer Engineering in 2001.
Research Interests
My research interests are broadly in Computer Vision and Pattern Recognition. I am interested in a wide range of theoretical and application problems in this domain, with an emphasis on those arising in Biomedical, Multimedia and Surveillance. In addition, we are interested in topics, like, neuromorphic vision, large-scale image retrieval, and relative saliency. As part of our solutions, we have been exploring graph-theoretic models, level sets, probabilistic methods, and, deep learning algorithms, in isolation, as well as in synergism. Here is a list of problems, we are currently addressing in our group:
Biomedical - Segmentation and Classification of small structures (tumors, nodules, organelles), study of brain disorders from multimodal data analysis, explainable AI (xAI) models
Multimedia - Action Recognition from multiple and unconstrained (e.g. long duration) videos
Surveillance/Security - Joint models of video compression and encryption, Partial person re-identification
Miscellaneous - Neuromorphic vision, Large-scale image retrieval, Models of Relative Saliency
Representative Publications
-- R. Roy, S. Mazumdar, A.S. Chowdhury: ADGAN: Attributes Driven Generative Adversarial Network for Synthesis and Multi-class Classification of Pulmonary Nodules, IEEE Trans. Neural Netw. Learn Syst. (TNNLS) 35(2) (2024), 2484 -2495.
-- A. Sikdar, A.S. Chowdhury: Lightweight Learning for Partial and Occluded Person Re-identification, IEEE Trans. Artif. Intell. (TAI) 6(5) (2024), 3245 – 3256.
-- A. Sahu, A.S. Chowdhury: Together Recognizing, Localizing and Summarizing Actions in Egocentric Videos, IEEE Trans. Image Process. (TIP) 30 (2021), 4330 – 4340.
-- R. Panda, S.K. Kuanar, A.S. Chowdhury: Nystrőm approximated temporally constrained multi-similarity spectral clustering approach for movie scene detection, IEEE Trans. Cybern. (TCYB) 48(3) (2018), 836 – 847.
-- S.K. Kuanar, K.B. Ranga, A.S. Chowdhury: Multi-View Video Summarization using Bipartite Matching Constrained Optimum-Path Forest Clustering, IEEE Trans. Multimedia (TMM) 17(8) (2015), 1166 -1173.
Updates/News:
-- June 2025: Anirban's work on Explainable Sepsis Prediction, with the UG students Debanuj and Rounak, accepted in ICETCI 2025
-- June 2025: Sevakram's work on Smart Homes using Deep Learning and Graphs accepted in CVIP 2025
-- June 2025: I gave a talk in the Pattern Recognition and Image Analysis Group while visiting Xiaoyi Jiang at University of Münster, Germany
-- Currently associated with GbR 2025 (as a PC Member), and with CVIP 2025 (as a Steering Committee Member)
-- April 2025: Arijit has successfully defended his PhD thesis, Congratulations!
-- March 2025: A paper on Subcellular Structure Segmentation from Nanoscopy Images using Dynamic Graph Convolution, a joint work with Arctic University of Norway, is accepted in GbR 2025!
-- February 2025: Workshop proposal, entitled RT-GNNs 2025 (to be held in conjunction with ICIP 2025) accepted
-- December 2024: Elected as a Fellow of West Bengal Academy of Science and Technology (FAScT)
-- December 2024: Gave a Keynote talk at the Workshop on Challenges in Wireless Capsule Endoscopy (CWE-2024), held in conjunction with ICPR 2024
-- December 2024: Co-organized G2SP-CV, a workshop held in conjunction with ICPR 2024
-- November 2024: Taught a short course on Graph Theory and Machine Learning: From Fundamentals to Advanced Applications at IISc Bangalore, organized by Phaneendra Yalavarthy
-- October 2024: Gave an invited talk at IIIT Bangalore
-- October 2024: 3 papers accepted in CVIP 2024
-- September 2024: Anirban's paper on Explainable Hypergraphs for Parkinson Detection accepted in Pattern Recognition Letters
-- September 2024: Book chapter on Deep Learning based Person Re-identification, with Arindam Sikdar, accepted in Pattern Recognition and Computer Vision in the New AI Era, Edited by C.H. Chen, World Scientific Publishing
-- August 2024: Book titled "Graph Based Multimedia Analysis", with Abhimanyu Sahu, published from Morgan-Kaufmann, Elsevier (this book is listed on the website of IAPR TC-15 on Graph Based Representations)
Contact:
E-mails: as.chowdhury[AT]jadavpuruniversity[DOT]in
ananda[DOT]chowdhury[AT]gmail.com
Phone: +91-033-2457-2405
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