Long Cheng, PhD
Professor
Distributed Systems Group
School of Control and Computer Engineering
North China Electric Power University
Beijing, China
E-mail: lcheng[AT]ncepu.edu.cn
LinkedIn, Google Scholar, DBLP
About
Dr. Cheng is a Professor in the School of Control and Computer Engineering at NCEPU in Beijing, where he leads the Distributed Systems Group. His research primarily focuses on distributed computing and deep reinforcement learning (DRL). He is particularly interested in optimizing the performance of distributed systems, including computing, transportation, and energy networks, using DRL, as well as leveraging distributed computing techniques to enhance the efficiency and performance of neural network inference and training.
Dr. Cheng was an Assistant Professor in the School of Computing at Dublin City University (DCU), and a Marie Curie Fellow at The Performance Engineering Laboratory (PEL) directed by Prof. John Muphy in University College Dublin (UCD), Ireland. Before joining UCD in 2018, he was a postdoctoral researcher at the Architecture of Information Systems Group (AIS) in Eindhoven University of Technology (Netherlands), worked with Prof. Wil van der Aalst for about two years focusing on new process mining techniques that are able to deal with huge event logs. During 2014 and 2016, he worked as a postdoctoral researcher in the Knowledge-based System Group led by Prof. Markus Krötzsch at TU Dresden (Germany).
Dr. Cheng received his PhD from the National University of Ireland Maynooth in 2014, under the supervision of Prof. Tomas Ward. During his PhD, he also worked as a research assistant at IBM Research Dublin, where he was supervised by Prof. Georgios Theodoropoulos and Dr. Spyros Kotoulas. He is currently a Senior Member of the IEEE and serves as a Co-Chair of the Journal of Cloud Computing.
News
| Oct, 2024 | Best Paper Award at IEEE ICPADS 2024 |
| Aug, 2024 | CFP: SI @ Information Fusion. |
| Jan, 2024 | Survey paper on DNN Inference on AIoT accepted by IEEE TSUSC. |
| Oct, 2023 | Listed in world’s top 2% scientists in Distributed Computing by Stanford University. |
| Jul, 2023 | Joined the Editorial Board of IEEE Transactions on Consumer Electronics. |