معرفی
Alabbas Hasanain is a researcher affiliated with the Department of Network Systems and Services at Budapest University of Technology and Economics (BME). He completed his PhD in 2023 under the supervision of Árpád Huszák, focusing on routing strategies in vehicular ad-hoc networks (VANETs). His research interests span reinforcement learning applications in network optimization, clustering algorithms for traffic surveillance, and intelligent transportation systems design. Hasanain has collaborated extensively with Prof. Árpád Huszák on multiple projects addressing VANET connectivity and multi-objective optimization.
- Institution: Budapest University of Technology and Economics
- Doctoral Program: Doctoral School of Informatics (2017-2023)
His publications emphasize practical solutions for vehicular communication challenges, including gateway selection algorithms and real-time road surveillance systems. Notable contributions include integrating reinforcement learning with traditional optimization techniques (e.g., multi-objective integer programming) to enhance VANET performance metrics like latency and reliability. His work bridges theoretical computer science with applied transportation engineering.
