معرفی
Khondker Shajadul Hasan is an Associate Professor of Computer Science in the College of Science and Engineering at the University of Houston–Clear Lake since Fall 2021, after serving as Assistant Professor from 2016. He teaches both undergraduate and graduate courses and directs research in distributed systems, blockchain security, GPU performance modeling, and IoT analytics.
Education
- Ph.D. in Computer Science, University of Oklahoma, Norman, USA (2014)
Dissertation: “Prediction Models for Estimating the Efficiency of Distributed Multi-core Systems” - M.S. in Computer Science, Wichita State University, Kansas, USA (2001)
Research Interests
Dr. Hasan’s work bridges theory and practice in distributed computing, blockchain-based security frameworks, and GPU-accelerated high-performance computing. His group designs predictive models for multi-core CPU availability and energy-efficient scheduling, and explores private-blockchain solutions for securing data streams in IoT and aviation domains.
Publications & Trends
Across 10 refereed papers since 2017, he has advanced the state-of-the-art in secure IoT architectures, smart-farming analytics, and JVM-level concurrency optimization. His research consistently integrates machine-learning techniques with systems-level challenges, yielding practical tools for industry and academia.
Awards & Honors
- Piper Award Semi-Finalist, University of Houston–Clear Lake (2017–2022)
- Distinguished Alumni Award, North South University (2017)
- Computer Science Advisory Board Award, University of Oklahoma (2013-14)
- Industry certifications from Schlumberger and InterSystems (2014-2015)
Advising & Service
Since 2016 he has mentored numerous graduate and undergraduate researchers and has served as faculty advisor for the Computer Club. He is an active member of editorial boards and technical program committees for IEEE and Elsevier journals/conferences worldwide.
Laboratory & Collaborations
Dr. Hasan directs the Parallel and Distributed Systems Lab at UHCL, collaborating with industry partners such as Schlumberger and academic groups across the USA and Asia on blockchain security, GPU performance modeling, and smart-IoT systems.
