Advanced Communications Network and Security Lab
Dr. Feng Ye received a Ph.D. degree from the University of Nebraska – Lincoln (UNL), Omaha, NE, USA, 2015 and a B.S. degree from Shanghai Jiao Tong University, Shanghai, China, 2011. He is an Assistant Professor at the University of Dayton (UD), USA. Prior to joining UD, he was with the Department of ECE, UNL as an instructor and a researcher from 2015 to 2016. He serves as the Vice Chair (Americas) of the IEEE Technical Committee on Green Communications and Computing (TCGCC). He is currently a Column Editor of IEEE Wireless Communications; an Associate Editor of IEEE Transactions on Vehicular Technology, IEEE Internet of Things Journal, China Communications, and Security and Privacy (Wiley). He served as a Guest Editor of IEEE Transactions on Cognitive Communications and Networking, Wireless Communications and Mobile Computing (Hindawi), and International Journal of Distributed Sensor Networks. He serves as the Co-chair of Green Communication Systems & Networks, IEEE ICC 2021; Co-Chair of ICNC’19 Signal Processing for Communications Symposium; the Publicity Co-Chair of IEEE CBDCom 2018; the Co-Chair of Cognitive Radio and Networking Symposium, IEEE ICC 2018. He also serves as a TPC member for numerous international conferences, including INFOCOM, GLOBECOM, VTC, ICC, etc. He is also a reviewer for several IEEE journals, including IEEE Transactions on Wireless Communications, IEEE Transactions on Vehicular Technology, IEEE Transactions on Big Data, IEEE Transactions on Green Communications and Networking, IEEE Transactions on Smart Grid, etc. He is the recipient of the Distinguished Member of the IEEE INFOCOM 2019 TPC, and the 2015 Top Reviewer of the IEEE Vehicular Technology Society.
- Wireless Communications and Networks
- AI in Networking Measurement and Management
- Information and Network Security
- Internet of Things
- Smart Grid Communications
I am always looking for self-motivated students to work with me on research projects in wireless networking, network security, artificial intelligence, and Internet of things.
- Graduate Assistantship for Ph.D. students (based on availability)
- Research Experience for Master students (if you want to do a master's thesis with me, you are encouraged to chat with me at least two semesters before your anticipated graduation)
To qualify for a Ph.D. application, prospective students must meet the following requirements:
- Has a strong motivation to spend the next 3-5 years for a Ph.D. degree by conducting cutting-edge research.
- Has a Master’s degree (with a GPA 3.2) in one of the following areas: Electrical Engineering, Computer Engineering, Computer Science or equivalent. Full assistantship (based on availability) will be considered for excellent candidates.
- Prospective students with a B.S. degree in related areas are also welcome to apply (for graduate school first). Assistantship will also be considered for those excellent candidates who commit to pursue a Ph.D. after getting a Master’s degree. (Note: A master’s thesis is required for a graduate student who is funded with assistantship.)
- GRE score is highly recommended.
- Has a TOEFL score over 80 at the time of official enrollment. (For international applicants.)
Prospective students will fit in the program better if they meet some (not necessary all) of the requirements as follows:
- Willing to work in a multi-cultural environment
- With research experience, e.g., has research publications that are not the thesis
- With background in computer networks, wireless communications, data analytics
- With background in some advanced mathematic knowledge and tools, e.g., optimization, game theory, graph theory, etc.
- With good programming skill (e.g., C, Python, Matlab, etc.)
- With good communication skill (e.g., presentation, group discussion, etc.)
- Willing to conduct self-guided hands-on projects
Prospective students please send me your CV, transcripts, GRE score, TOEFL(if international applicants) and one of your recent publications if available.