Focused on advancing its impact and success with students, community and society, Stevens’ systems science and engineering leading School of Systems and Enterprises (SSE) announced the hiring of four new faculty members for fall 2020. The new faculty members will join our current outstanding faculty and play an essential role in SSE’s continued growth and significance.
“Our new faculty are very impressive. They are coming to Stevens with an education and background on par with some of the best places I’ve ever been. I am excited to welcome them to SSE this coming fall,” said Dean Yehia Massoud. “In our school, we’ve been looking at other applications that could benefit from systems engineering. In our strategic plan, we identified three important areas: healthcare systems, intelligent transportation and smart cities — but we’re not stopping there. The new faculty that we are bringing on board this fall, and those others who’ve joined recently, will really play a significant role in how we are building our future.”
The new SSE faculty for fall 2020 are:
Changyue Song, assistant professor. Changyue Song is currently a Ph.D. candidate in the Department of Industrial and Systems Engineering at the University of Wisconsin-Madison. He also holds a master’s degree in statistics. His research interest lies in data analytics and system informatics with a focus on developing advanced data science methodologies for status inference and prediction. He is the recipient of the 2019 INFORMS QSR Section Best Referred Paper Award, the Wisconsin Distinguished Graduate Fellowship, the Mary G. and Joseph Natrella Scholarship and the Campus-Wide Teaching Assistant Award.
Oluwafemi Richard Oyeleke, assistant professor. Richie Oyeleke is currently a Ph.D. candidate in computer science at Iowa State University. His research interests span cutting-edge areas in computer science and gerontechnology which include: smart health analytics, human-centered computing, software systems safety, optimal aging and digital health systems. He is a member of the program committee for the 2020 IEEE Digital Health as a Service Symposium (DHAASS), co-located with the 2020 IEEE World Congress on Services. Oluwafemi is currently a member of the American Association for the Advancement of Science (AAAS).
Ting Liao, assistant professor. Ting Liao is a Ph.D. candidate in the Department of Mechanical Engineering at Stanford University, where she also earned a Master of Science in mechanical engineering specializing in design methodology and mechatronics. She earned her Bachelor of Science in mechanical engineering at University of Illinois at Urbana-Champaign. Her current research is built upon the concept of user-centered design and crosses disciplinary boundaries involving engineering design, experimental psychology and data science. In addition, Ting has been active in fostering diversity and inclusion in the local community.
Feng Liu, assistant professor. Dr. Feng Liu is a postdoctoral research fellow at Harvard Medical School. He is also a research affiliate at the Neuroscience Statistics Research Lab at MIT. His research focus includes brain imaging, medical informatics, renewable energy, machine learning and dynamic systems. He is a past winner of the Best Paper Award at the 11th International Conference of Brain Informatics in 2018, and the winner of the Best Paper Award of INFORMS Data Analytics Society in 2019. Dr. Liu is an active reviewer for multiple journals and conferences. He has also served as a guest editor for the Brain Informatics journal.
Other faculty who have joined the School of Systems and Enterprises over the past two years:
Philip Odonkor, assistant professor. Dr. Odonkor joins SSE after completing his doctorate and master’s in mechanical engineering and a bachelor's in mechanical and aerospace engineering at the University at Buffalo. His research interests include developing and using data-driven methodologies to enable efficient and sustainable energy use within built environments, with the goal of enabling smart cities. He received the 2019 SUNY Chancellor’s Award and was a Dean's Graduate Achievement award winner at the School of Engineering and Applied Sciences.
Sang Won Bae, assistant professor. Dr. Bae arrives at Stevens from Carnegie Mellon University where she was a systems faculty and a postdoctoral researcher in the Human-Computer Interaction Institute. She received her Ph.D. in cognitive science and engineering. Dr. Bae’s research is focused on using smart technology to develop, deploy and evaluate new approaches to the human obstacles surrounding widespread everyday adoption of ubiquitous sensing and intelligent computing technologies. She has received several grants and awards, including the R21 grant from the National Institutes of Health.
Mehmet Gunes, associate professor. Dr. Gunes comes to Stevens from the University of Nevada, Reno where was an associate professor of computer science and engineering. He received his doctorate in computer science from the University of Texas at Dallas. While pursuing research problems in cybersecurity, internet measurements and network science, he employed various methodologies and tools including big data, data mining, high performance computing, machine learning and statistics. Dr. Gunes’ research has been funded by the National Science Foundation, Department of Defense, and Amazon AWS.
Onur Asan, associate professor. Dr. Onur Asan completed his Ph.D. in industrial and systems engineering at University of Wisconsin-Madison, specializing in human factors and human-computer interaction. Dr. Asan's research focuses on application of theory, methods and design from the discipline of human factors engineering and human computer interaction to improve socio-technical change in health care.
A. Emrah Bayrak, assistant professor. Dr. Bayrak’s research focuses on bridging computational methods and human cognition to develop human-computer collaboration architectures for the design and control of smart products and systems. He is particularly interested in developing artificial intelligence systems that can effectively collaborate with humans considering unique capabilities of humans and computational systems.