Contact - ICDAR 2025 Handwritten Notes Understanding Challenge

Dr. Aniket Pal is currently a Postdoctoral Candidate in the CVIT Lab, IIIT Hyderabad, under Prof. C.V. Jawahar. He received a Ph.D in Computer Science from IIIT Allahabad, India. His research interests include Handwritten document image understanding, Handwritten Mathematical Expression Recognition, machine learning, computer vision, pattern recognition, and image processing. He has organized MLDA workshops at IIIT Allahabad.

Sanket Biswas is currently a Ph.D. candidate in the Computer Vision Centre (CVC), Barcelona, for the Document Intelligence team (previously Document Analysis Group (DAG)), under the supervision of Prof. Josep Lladós. He received his M.Sc. degree in Computer Vision in October 2020 from Universitat Autònoma de Barcelona (UAB), Universitat Politècnica de Catalunya (UPC), Universitat Pompeu Fabra(UPF) and Universitat Oberta de Catalunya(UOC). He had previously worked as a Research Scientist (Intern) for Adobe Research (US) Document Intelligence Lab and also as a Research intern in the Computer Vision and Pattern Recognition (CVPR) unit of the Indian Statistical Institute, Kolkata. His research interests include structural document analysis, generative modeling in computer vision, object recognition, and geometric deep learning. He is currently serving as Dataset Curator for the IAPR TC-10 Committee. He was also a co-organizer of the ICDAR 2023 DUDE Competition. 

Alloy Das is the Founder and CTO of HabitatLens, leading AI-driven solutions for wildlife conservation and habitat monitoring. Specializing in computer vision, deep learning, and edge AI, he develops intelligent monitoring systems using object detection, image segmentation, and domain-adaptive models. Previously a researcher at ISI Kolkata, he has published in ICRA, WACV, and Knowledge-Based Systems. Passionate about AI for sustainability, he integrates IoT and AI for ecological protection. 

Ayush Lodh is a Junior AI Researcher at HabitatLens, specializing in artificial intelligence and machine learning. He holds a B.E. in Information Technology from UIT, Burdwan, and completed an internship under Dr. Umapada Pal at ISI’s CVPR unit. Skilled in C, C++, and Python, he works with TensorFlow, PyTorch, and OpenCV to develop AI-driven solutions.

Priyanka Banerjee is a Junior AI Engineer at HabitatLens with a strong research background in AI and machine learning. She holds a degree in Electronics and Communication Engineering from UIT, Burdwan, and previously interned under Dr. Tanoy Mukherjee in ecological research. She co-authored Tricho-Vision, contributing to dataset curation and model training using Vision Transformers and CNNs.

Dr. Ajoy Mondal is a post-doctoral fellow at CVIT, IIIT Hyderabad, India. He received a Ph.D. in computer science from Jadavpur University, Kolkata, India 2018. He published more than 47 articles in the reputed journals and conferences. His research interests include document image processing, deep learning, machine learning, computer vision, pattern recognition, and image processing. He has served as a viewer for several journals (e.g., IEEE Trans. on PAMI, IEEE Trans. on Image Processing, IEEE Trans. on Neural Networks and Learning Systems, ACM Computing Surveys, Applied Soft Computing) and previous conferences (e.g., CVPR, ICCV, ECCV, BMVC, WACV, ICDAR, ICFHR, ICVGIP).  

Prof. Dimosthenis Karatzas is an associate professor at the Universitat Autònoma de Barcelona and associate director of the Computer Vision Centre (CVC) in Barcelona, Spain, where he leads the Vision, Language and Reading research group (\url{http://vlr.cvc.uab.es}). He has produced more than 140 publications on computer vision, reading systems and multimodal learning. He received the 2013 IAPR/ICDAR Young Investigator Award, a Google Research Award (2016) and two Amazon Machine Learning Research Awards (2019, 2022). He has set up two spin-off companies to date, TruColour Ltd, UK, in 2007 and AllRead, Spain, in 2019. Between 2018-19 he advised the Catalan government on the Catalan strategy of AI. He is a senior member of IEEE, a fellow of ELLIS and co-director of the ELLIS Unit Barcelona, past chair of IAPR TC11 (Reading Systems), and a member of the Artificial Intelligence Doctoral Academy (AIDA) Research and Industry Board. He created the Robust Reading Competition portal (\url{https://rrc.cvc.uab.es}), established as the de-facto international benchmark in document analysis and used by more than 45,000 registered researchers.

Prof. Josep Lladós received the degree in Computer Sciences in 1991 from the Universitat Politècnica de Catalunya and the PhD degree in Computer Sciences in 1997 from the Universitat Autònoma de Barcelona (Spain) and the Université Paris 8 (France). Currently he is an Associate Professor at the Computer Sciences Department of the Universitat Autònoma de Barcelona and director of the Computer Vision Center. He is associate researcher of the IDAKS Lab of the Osaka Prefecture University (Japan). He is the chair holder of Knowledge Transfer of the UAB Research Park and Santander Bank. His current research fields are document intelligence and graph-based learning. He has been the head of a number of Computer Vision R+D projects and published more than 260 papers in national and international conferences and journals. He has supervised 17 PhD theses. He is a member of the IAPR, where he is currently the secretary of the Executive Committee. He has served as chair of some committees: IAPR-EC (Education Committee), IAPR-ILC (Industrial Liaision Committee) and the IAPR TC-10 (Technical Committee on Graphics Recognition). He is also the head of the Pattern Recognition and Document Analysis Group (2009SGR-00418). He was involved in the committees for the definition of the Spanish and Catalan Artificial Intelligence Strategy. He was the recipient of the IAPR-ICDAR Young Investigator Award in 2007, received the Certificate of Appreciation of the IAPR in 2022.

Prof. C. V. Jawahar is a Professor at IIIT Hyderabad, India. He has been with IIIT Hyderabad since 2000. At IIIT Hyderabad, Jawahar leads a group focusing on computer vision, machine learning, document analysis, and multimedia systems. In recent years, he has looked into various problems that overlap with vision, language, and text. He is also interested in applications in road safety, assistive technologies, healthcare, education, cultural heritage, and entertainment. He has served as a chair for previous editions of ICCV, CVPR, ACCV, WACV, IJCAI, AAAI, ICDAR, ICFHR, and ICVGIP. Presently, he is an area editor of CVIU and an associate editor of IEEE PAMI and IJDAR. He has more than 150 publications in top conferences of Computer Vision, Machine Learning, Robotics, Document Image Analysis.