Hamed Abdelhaq is an Assistant Professor of Computer Science at An-Najah National University, Palestine. He received his PhD in 2016 from Heidelberg University in Germany, where his research focused on spatio-temporal data analysis, social media mining, and event detection. His doctoral thesis, supervised by Prof. Dr. Michael Gertz, explored methods for mining spatio-temporal patterns from social media streams to support the real-time identification of real-world localized events.
Hamed earned both his BSc (2005) and MSc (2007) degrees in Computer Science from the University of Jordan. He later served for about three years as a lecturer in the Computer Science Department at An-Najah National University before pursuing his PhD under a DAAD scholarship. His current research interests include the application of Large Language Models (LLMs) and generative AI across various domains, with a particular emphasis on intelligent systems for healthcare.
Hamed worked as a senior data analyst at moovel group GmbH that provides a wide range of mobility services. His main role was to build recommendation systems that improve mobility. In addition, he worked remotely as a part-time data mining consultant at SocialDice, USA, with the main goal of building a smart resume ranking system.
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