• Lluís Gómez i Bigordà (CVC, Barcelona, Spain)
  • Muhammad Muzzamil LUQMAN (L3i, La Rochelle, France)
  • Sheraz Ahmed (DFKI, Kaiserslautern, Germany)
Lluís Gómez i Bigordà is a TECNIOspring Research Fellow (H2020 Marie Skłodowska-Curie actions of the European Union) at at the Computer Vision Center (CVC), Universitat Autònoma de Barcelona (UAB). He received his PhD in Computer Science from the Universitat Autònoma de Barcelona in 2016. His research interests include a variety of different topics in machine learning and computer vision. Currently he works on embedding models, multimodal self-supervised learning, joint modelling of textual and visual information, and single shot CNN architectures for scene text understanding.
As a member of the Robust Reading research team at the Computer Vision Centre, and of the document analysis community, he has contributed several papers to the field and has had the chance to collaborate with a variety of research groups and venues. He has done research stays at the Media Integration and Communication Center (MICC) – University of Florence, and at the Intelligent Media Processing Group – Osaka Prefecture University, and has collaborated with other prominent research groups in the organization of the ICDAR Robust Reading Competition in their 2013, 2015, and 2017 editions. He served as a chair and organizer of the International Workshop on Camera Based Document Analysis and Recognition (CBDAR 2017) and the International Workshop on Robust Reading (IWRR 2018); as well as a member of the Program Committee in previous editions of those workshops (CBDAR 2015, IWRR 2014, and IWRR 2016). In 2016 he co-organized a Tutorial on “Scene-Text Localization, Recognition, and Understanding” in the International Workshop on Document Analysis Systems (DAS 2016).

Webpage: ​http://lluisgomez.github.io
LUQMAN Muhammad Muzzamil (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) since November 2015. Luqman as a Postdoctoral researcher with Professor Jean-Marc Ogier, at 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”. Luqman has authored more than 50 scientific publications including a book, journal papers and international conference papers. Luqman is a regular reviewer for journals (PR, PRL, IJDAR, IJPRAI, IJCSAI, TALLIP, MDPI), he regularly serves on the program committees of many international scientific events (ICDAR, ICPR, DAS, CIFED, ICET, GREC, CBDAR, IWRR, MANPU) and has actively participated in organizing several international conferences and workshops (CLA 2013, DAS 2014, IDAKS 2016, ICDAR 2015, ICPR 2016, CBDAR 2017, SSDA 2018, CBDAR 2019). Luqman has actively participated for organizing the several competitions for ICDAR community. Luqman was co-presenter of the GMPRDIA (Graph-based Methods in Pattern Recognition and Document Image Analysis) tutorial for ICDAR 2017 and ICDAR 2019.

Webpage: http://pageperso.univ-lr.fr/muhammad_muzzamil.luqman
Sheraz Ahmed received his master’s and Ph.D degree in computer science from the Technische Universität Kaiserslautern, Germany. He has primarily worked on the development of various systems for information segmentation in document images. He is currently working as a Senior Researcher at the German Research Center for Artificial Intelligence GmbH (DFKI), Kaiserslautern, where he is leading the area of Document analysis, Explainable AI (XAI) in Time Series, medical imaging, and Genome Analysis . He have several publications on the said and related topics, including several journal articles and book chapters. His research interests include document understanding, explainable AI, pattern recognition, anomaly detection, and natural language processing. He is regular reviewer and guest editor of multiple Journals and also served as program committee member for several international conferences.