Jan 2019 – present

Dr. Alicia Fornés received the Ph.D. degree in 2009 from the Universitat Autònoma de Barcelona (UAB). Her Ph.D. work on writer identification of old music scores received the best thesis award 2009-2010 by the AERFAI (Spanish Branch of the IAPR). She has published more than 100 papers in international conferences and journals. She received the IAPR/ICDAR Young Investigator Award in 2017 for outstanding contributions in the recognition of handwriting, text and graphics, with high impact to the field of Digital Humanities. She is currently a Senior Research Fellow at the Computer Vision Center (CVC) and the UAB. For more information, please visit the webpage.

Vice Chair
Jean-Christophe BURIE is Professor in Computer Science at La Rochelle Université and member of the L3i research laboratory in La Rochelle, France. He has a broad experience in Image Processing, Image Understanding, Pattern Recognition and especially in Document Analysis and Graphic Recognition. Over the years, his research topics have ranged from Maps Analysis, Comics Understanding, Ancients manuscripts Indexing.
He served International Association for Pattern Recognition TC-10 Committee as Secretary and Webmaster from 2009 to 2018 and now as vice-chair. He has authored over 100 publications, most of which in various high rank journals and conferences. He was the co-organizer of several workshop such as MANPU 2016 (Cancun, Mexico), MANPU 2017 and HDI 2017 (Kyoto, Japan), MANPU 2019 (Thessalonique, Greece). He was the General Chair of the 2nd IAPR TC10/TC11 Summer School in La Rochelle (July 2018). For more information, please visit the webpage.

Communications Officer
Dr. Christophe RIGAUD (Ph.D.) is a research engineer (postdoc) in document image analysis at the L3i laboratory of the University of La Rochelle (France). He received a double European PhD degree in computer science from the University of La Rochelle (France) and the Autonomous University of Barcelona (Spain) in 2014. His PhD thesis is titled “Segmentation and indexation of complex objects in comic book images”, supervised by Jean-Christophe Burie, Jean-Marc Ogier from L3i lab and Dimosthenis Karatzas from the Center of Computer Vision (CVC) of the Autonomous University of Barcelona. His current research interest is the analysis of comic book images using computer vision techniques. He aims to discover how to make a complete and automatic description of the comic page image content, namely the position of the panels, speech balloons, text, comic characters, their interactions and semantic meaning. Christophe Rigaud has authored 20 scientific publications including 5 book chapters, 3 journals and several international conference and workshop papers. He also serves several program committees of summer school (SSDA’18), workshops (GREC’17, MANPU’17) and competitions such as the Engineering Drawing Challenge for GREC’15, Multi-lingual scene text detection and script identification (RRC-MLT) at ICDAR’17, Subgraph Spotting in Graph-based representations of Comic Images (SSGCI) for ICPR’18, Fine-Grained Classification of Comic Characters (FGC) and Post-OCR Text Correction (POCR) at ICDAR’19. For more information, please visit the webpage.

Educational Officer
KC Santosh (IEEE Senior member) has been employed at the University of South Dakota (USD) as an Assistant Professor since 2015. In addition, he serves as the Graduate Program Coordinator (GPC) for the department of computer science. Before joining the USD, Dr. Santosh worked as a research fellow at the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). He worked as a postdoctoral research scientist at the LORIA research centre, Univ. de Lorraine in direct collaboration with ITESOFT, France (industrial partner). He has received his PhD diploma in computer science from INRIA – Univ. de Lorraine (France), MS in Computer Science from Thammasat Univ. (Thailand). Dr. Santosh has demonstrated expertise in pattern recognition, image processing, computer vision, artificial intelligence and machine learning with various applications in medical image analysis, graphics recognition, document information content exploitation and biometrics. He published more than 120 peer-reviewed research articles, two authored books (Springer) and edited several books (Springer, Elsevier and CRC press), journal issues (Springer) and conference proceedings (Springer). Dr. Santosh serves as an associate editor of the international journal of machine learning & cybernetics (Springer). Dr Santosh has a long academic experience in three different continents: Asia, Europe and America. For more information, please visit the webpage.

Dataset Curator
Dr. Partha Pratim Roy received his Ph.D. degree in computer science in 2010 from Universitat Autònoma de Barcelona, Spain. He worked as postdoctoral research fellow in the Computer Science Laboratory (LI, RFAI group), France and in Synchromedia Lab, Canada. Dr. Roy has made important contributions in Document Image Analysis. He is the recipient of “Best Student Paper” awarded by International Conference on Document Analysis and Recognition (ICDAR) in 2009. Dr. Roy has gathered industrial experience while working in TATA Consultancy Services and Samsung. In Samsung, he was a part-leader of Computer Vision group. Presently, Dr. Roy is working as Assistant Professor at Dept. of Computer Science and Engineering, Indian Institute of Technology (IIT), Roorkee. He has published more than 170 research papers in various international journals and conference proceedings. For more information, please visit the webpage.

Muhammad Muzzamil LUQMAN (Ph.D.) is a research scientist in Document Image Analysis, Pattern Recognition and Computer Vision. Luqman is currently working on the post of Research Engineer (Permanent) at the L3i Laboratory, University of La Rochelle (France). Luqman has a PhD in Computer Science from François Rabelais University of Tours (France) and Autonoma University of Barcelona (Spain). His PhD thesis was co-supervised by Professor Jean-Yves Ramel and Professor Josep Llados; and was titled “Fuzzy Multilevel Graph Embedding for Recognition, Indexing and Retrieval of Graphic Document Images”. His research interests include Structural Pattern Recognition, Document Image Analysis, Camera-Based Document Analysis and Recognition, Graphics Recognition, Machine Learning, Computer Vision, Augmented Reality and Biomimicry. For more information, please visit the webpage.