Weixian Liao

Weixian Liao is an Assistant Professor in the Department of Computer and Information Sciences at Towson University. His research focuses on big data analytics, cybersecurity, and networking in cyber-physical systems (CPS) and IoT. Dr. Liao holds a Ph.D. in Computer Engineering from Case Western Reserve University (2018), an M.S. in Electrical and Computer Engineering from Mississippi State University (2015), and a B.S. in Information Engineering from Xidian University (2012).

His expertise spans secure edge intelligence, federated learning, adversarial machine learning, and IoT system resilience. Recent work includes surveys on AI model marketplaces, blockchain-empowered federated learning, and cybersecurity frameworks for smart energy systems. He has contributed to over 30 peer-reviewed publications in top journals/conferences such as IEEE Transactions and ACML.

Research trends highlight his focus on interdisciplinary solutions blending machine learning with cybersecurity in critical infrastructure systems. His work emphasizes practical applications like disaster damage assessment via IoT search engines and resilient CPS design. Current projects explore edge computing security, federated learning incentives, and adversarial attack detection in distributed systems.

No scientific awards or grants are explicitly listed in the provided materials. Dr. Liao’s lab focuses on advancing secure AI frameworks for IoT and CPS through innovative algorithm design and system architectures.