معرفی
Dr. Seyed Hoseinitabatabaei is a Senior Research Fellow at the University of Surrey. His research focuses on mobile-centric sensing, IoT integration, and pervasive computing. He has contributed to advancements in user behavior profiling, wireless communication models, and scalable data discovery mechanisms for large-scale IoT systems.
His research interests include Pervasive Computing, Big Data analysis, Augmented Reality, Positioning Systems, Dead Reckoning, IoT architectures, and Social Signal Processing. Key innovations include the uDirect algorithm for user-facing direction estimation using smartphone sensors and quantum load balancing techniques for ad hoc networks.
Publications highlight trends in mobile context recognition, IoT data management, and vehicular network modeling. Recent work emphasizes scalable solutions for distributed IoT systems and predictive video popularity modeling using clustering techniques.
- Notable contributions: Over 20 peer-reviewed articles, including impactful work in ACM Computing Surveys, IEEE Transactions, and Quantum Information Processing.
- Advised students: Hassanpour Asheghabadi Masoud (PhD, 2019) and Enshaeifar Saeid (PhD, 2017).
- Patents: Scalable Data Discovery in IoT Systems (2017).
