• Muhammad Muzzamil LUQMAN (L3i, La Rochelle, France)
  • Sheraz Ahmed (DFKI, Kaiserslautern, Germany)
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. From 2012 to 2015, Luqman was 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.

Webpage: https://scholar.google.de/citations?user=LHg0R4wAAAAJ&hl=en