Dr. Cheng is a Full Professor in the School of Control and Computer Engineering at NCEPU in Beijing and a Visiting Professor at Insight in Dublin. His research mainly lies in distributed systems, deep learning, cloud computing and process mining. Specifically, he is interested in performance optimization for parallel and distributed data applications and systems.
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 degree from National University of Ireland Maynooth under the supervision of Prof. Tomas Ward in 2014. During his PhD, he was also a research assistant at IBM Research Dublin under the supervision of Prof. Georgios Theodoropoulos and Dr. Spyros Kotoulas.
Currently, aside from the main focus on advancing network-aware computing systems, high-performance DNN inference and energy data analytics, Dr. Cheng also has some collaborative projects in intelligent IoT edge systems, cloud-based process mining, high-performance privacy-preserving data processing, in-network computing, and AI accelerator. He is currently a Senior Member of the IEEE.
|Jan, 2021||Reconnected to Insight in Dublin as Visiting Professor|
|Jan, 2021||Papers accepted by IEEE TPDS, IEEE TASE, IEEE Network Magazine.|
|Dec, 2020||Joined NCEPU in Beijing as Full Professor.|
|Aug, 2020||Paper was accepted by IEEE/ACM TON.|
|Aug, 2020||Joined TPC of IEEE CLUSTER’21.|