Zheng Li

Registered user since Mon 3 Feb 2020

Name:Zheng Li

Zheng Li received his Ph.D. degree and M.Phil degree from the Australian National University (ANU) and the University of New South Wales (UNSW) respectively. During the same time, he was a graduate researcher with the Software Systems Research Group (SSRG) at National ICT Australia (NICTA). He is now a lecturer at the School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, UK. Previously, he was a tenured assistant professor at the Department of Computer Science, University of Concepción, Chile. Before that, he was a postdoc researcher with the Cloud Control group at Lund University, Sweden. He was also a visiting research fellow with Software Institute at Nanjing University, China. Before studying abroad, he had around four-year industrial experience in China after receiving his M.Sc.Eng. degree from the Beijing University of Chemical Technology and the B.Eng. degree from the Zhengzhou University. His research interests include big data analytics, edge/cloud computing, empirical software engineering, and performance engineering.

Country:United Kingdom
Affiliation:Queen's University Belfast, UK
Research interests:Empirical Software Engineering, Edge/Cloud Computing, Performance Engineering


A-TEST 2022 Author of Academic search engines: constraints, bugs and recommendations within the A-TEST 2022-track
ICSE 2022 Author of Just Enough, Just in Time, Just for "Me": Fundamental Principles for Engineering IoT-native Software Systems within the NIER - New Ideas and Emerging Results-track
ICSE 2021 Author of Stop Building Castles on a Swamp! The Crisis of Reproducing Automatic Search in Evidence-based Software Engineering within the NIER - New Ideas and Emerging Results-track
ICSE 2020 Author of Using Public and Free Platform-as-a-Service (PaaS) based Lightweight Projects for Software Architecture Education within the Software Engineering Education and Training-track
ICSSP 2020 Author of Occurrence Frequency and All Historical Failure Information Based Method for TCP in CI within the ICSSP 2020-track