Sheraz Ahmed received his master’s and Ph.D degree in computer science from the Technische Universität Kaiserslautern, Germany. His Ph.D. topic is Generic Methods for Information Segmentation in Document Images. 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 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, genome analysis, and natural language processing.