Funded Research Projects in AI/ML (Artificial Intelligence/Machine Learning) Applications

• Co-Principal Investigator, Clinical Adaptive Performance Enhancement Through Human-AI Teaming (CAPE-HAT), supported by the National Science Foundation, 2024-2028
• Principal Investigator, AI and Robotics for Drug Discovery with Zebrafish: Embryo Sorting System, supported by the University of Toledo Foundation, 2023-2028
• Co-Principal Investigator, Integrated LIBS-RAMAN-AI System for Real-Time, In-Situ Chemical Analysis of MSW, supported by the U.S. Department of Energy (DOE) via Lehigh University, 2021-2025

Teaching and Invited Talks

• EECS4980/5980: Generative AI and Large Language Models (with Ali Malekpour, 3 credit hours, Fall 2024)
• Teaching modules on AI and Semiconductor, Spring 2024, for Ohio TechNet Northeast Ohio (OTN-NEO) Semiconductor Workforce Consortium, supported by Intel via LCCC, 2024-2025
• Invited talk on Embedded Crowdsensing for Pavement Monitoring and its Incentive Mechanisms, International Summer School on Resource-aware Machine Learning (REAML) 2022, TU Dortmund, Germany, September 14, 2022

Peer-reviewed Research Publications in Deep/Reinforcement Learning Applications

• Boyang Zhou and Liang Cheng, Deep Reinforcement Learning-based Scheduling for Same Day Delivery with a Dynamic Number of Drones. The 21st International Conference on Service-Oriented Computing (ICSOC’23), Rome, Italy, Nov. 28 – Dec. 1, 2023.
• Prashish Paudel, Scott Pappada, and Liang Cheng, Automated Multimodal Performance Evaluation in Simulation-based Medical Education using Natural Language Processing. The 14th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS 2023) Demo/Poster/WIP, San Antonio, Texas, May 2023.
• Boyang Zhou and Liang Cheng. Mitigation of Scheduling Violations in Time-Sensitive Networking using Deep Deterministic Policy Gradient. In Workshop on Flexible Networks Artificial Intelligence Supported Network Flexibility and Agility (SIGCOMM ’21), August 27, 2021.
• Huan Yang, Liang Cheng, and Mooi Choo Chuah, Deep-learning-based network intrusion detection for SCADA systems, 2019 IEEE International Workshop on Cyber-Physical Systems Security (CPS-Sec’19) at IEEE Conference on Communications and Network Security (CNS’19), Washington, D.C., June 10-12, 2019.