Prof. Ananda S. Chowdhury, Jadavpur University, India (Main Organizer)
Ananda S. Chowdhury is a Professor at Jadavpur University, Kolkata, India where he leads the Imaging, Vision and Pattern Recognition group. His research interests span Computer Vision, Pattern Recognition, Biomedical Image/Signal Processing, and, Multimedia Analysis with a focus on graph based models. Dr. Chowdhury has published more than one hundred papers in leading international journals and conferences in addition to two monographs, namely, “Graph Based Multimedia Analysis” from the Morgan Kaufmann, Elsevier, and “Computer Vision-guided Virtual Craniofacial Surgery: A Graph-theoretic and Statistical Perspective” from the Springer series of Advances in Computer Vision and Pattern Recognition. He is a senior member of IEEE, an IAPR TC-member of Graph based Representations in Pattern Recognition, and a life member of the Indian Unit of Pattern Recognition and Artificial Intelligence (IUPRAI). He currently serves as a Senior Area Editor for IEEE Transactions on Image Processing, and an Area Editor for Pattern Recognition Letters. He is a Distinguished Visitor of the IEEE Computer Society. His Erdӧs Number is 2.
Ass. Prof (HDR) Thierry Bouwmans, Laboratoire MIA, University of La Rochelle, France. (Co-Main Organizer)
Thierry Bouwmans is an Associate Professor (HDR) at the University of La Rochelle, France. His research interests consist mainly in the detection of moving objects in challenging environments with mathematical tools (statistics and fuzzy concepts), robust subspace learning models, deep learning models and signal processing models (Graph Signal Processing). He has authored more than 150 papers in refereed international journals and conferences. His research also concerns full exhaustive surveys on mathematical tools and machine learning models used in foreground/background separation. He has been the lead guest editor of two special issues in MVA and IEEE JSTSP and co-guest editors of five special issues in IEEE T-CVST, Proceedings of IEEE, ACM TOMM, PRL, and NCA. He is also the main organizer of the workshop RSL-CV held four times at IEEE ICCV (2015, 2017, 2019, and 2021), the workshop GSP-CV held one time at IEEE ICCV 2021, the main organizer of special sessions at IEEE ICIP 2020, 2002 and 2024. He was also the main organizer of the international Workshop on “Graph Learning and Graph Signal Processing Algorithms in Computer Vision", G2SP-CV 2024 in conjunction with ICPR 2024. He is a reviewer for prestigious international journals including IEEE (Trans. on Image Processing, Trans. on Multimedia, Trans. on CSVT, etc.), SPRINGER (IJCV, MVA, etc.) and ELSEVIER (CVIU, PR, PRL, etc.), and top-level such as CVPR, ICPR, ICIP, AVSS, etc. He is also TAE for IEEE TGRS and IEEE Senior Member. He is ranked in the Standford 2% ranking since 2017.
Ass. Prof. Anastasia Zakharova, Laboratoire MIA, University of La Rochelle, France. (Speaker)
Anastasia Zakharova obtained her PhD in 2008 from Moscow State University, Department of Mechanics and Mathematics. She was an Associate Professor at the INSA Rouen Normandie (France) from 2011, and she is with University of La Rochelle (France) since 2018. Her research interests lie in the domain of graph neural networks (GNNs) and signal processing, with the emphasis on techniques of multiresolution analysis, wavelet decompositions, redundant decompositions, sparse representations and graph signal processing. She has supervised two PhD in the field of graph neural networks and object detection. She was an invited talk for workshops at IEEE ICME 2025, IEEE ICIP 2025 and ICPR 2026.
Dr. Meghna Kapoor, Laboratoire L3i, University of La Rochelle, France. (Speaker)
Meghna Kapoor is a Postdoctoral Researcher at L3i Laboratory, University of La Rochelle, France. She completed her Ph.D. at Indian Institute of Technology Jammu, India. She was a recipient of the Prime Minister’s Fellowship for Doctoral Research (PMFDR) in 2021. Her research focuses on graph learning, computer vision, and AI-driven underwater surveillance systems. She has published in leading venues such as Pattern Recognition, Computer Vision and Image Understanding, IEEE Transactions on Artificial Intelligence. She has organized the workshop AusTech 2025 in conjunction with NCVPRIPG 2025 and she is the main organizer of the workshop AusTech 2026 in conjunction with ICPR 2026.
Ass. Pr. Abhimanyu Sahu, Motilal Nehru National Institute of Technology, India. (Speaker)
Abhimanyu Sahu obtained his Ph.D. in Computer Engineering from Jadavpur University, Kolkata, India, in October 2021. He is currently working as an Assistant Professor in the Department of Computer Science and Engineering at Motilal Nehru National Institute of Technology (MNNIT), Allahabad, Prayagraj, Uttar Pradesh, India. He has authored or co-authored more than twenty papers in leading international journals and conferences, as well as a monograph in the Morgan Kaufmann Elsevier Book Series. His research interests include computer vision, pattern recognition, multimedia analysis, first-person (egocentric) video, and deep learning. He has also worked on theoretical aspects of graph-based modeling, such as graph matching and minimum spanning trees, in the above fields. He is a life member of the Indian Society for Technical Education (ISTE). He is currently supervising one Ph.D. in the field of analysis of multi-modal egocentric video