My research focuses on quality-of-service provisioning in the Internet, design and optimization of optical networks, network security, sensor networks, open spectrum access cognitive radio wireless networks, machine learning and AI approaches to network design and optimization, intrusion detection, and Internet of Things (IoT) security, as well as data analytics for privacy engineering. I have a broad background in electrical engineering and computer science, with specific training and expertise in algorithm design, optimization, security, data analytics, AI and machine learning. As PI or co-Investigator on numerous grants funded by NSF, DOE, DOD, and the State of Ohio, I developed various techniques for optical network design, traffic management, and network threat detection. Much of my recent work is built on analyzing large quantity of data, and learning using AI/ML from the datasets helps produce actionable intelligence. In addition, my work also is closely related to securing sensitive data and detecting authorized access to these data to ensure privacy with applications in healthcare. My research interests also include medical/health informatics, organism and human cellular networks, and analysis of physiological data streams for human health inference and personalized precision medicine.

• US Department of Energy Career Award 
• Best Paper Award: IEEE BROADNETS 2007, Fourth IEEE International Conference on BroadbandCommunications, Networks, and Systems
• Air Force Office of Scientific Research: Senior Research Fellowship
• Excellence in Research Award, College of Engineering and Computer Science
• Excellence in Service Award, College of Engineering and Computer Science
• Outstanding Faculty Member Award, College of Engineering and Computer Science