Dr Wenjie Ruan

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Dr Wenjie Ruan
Senior Lecturer in Data Science
Department of Computer Science
College of Engineering, Mathematics and Physical Sciences
University of Exeter (a Russell Group university)

Office:
K1, Innovation Centre
Streatham Campus, University of Exeter
Exeter EX4 4RN, UK


Email: w.ruan AT exeter.ac.uk
Wechat: 547315004    Web: wenjieruan.com
Linkedin   Google Scholar   DBLP   GitHub

Recruitment: Postdocs, PhDs, visiting students, UG/MSc students who are interested in AI Robustness, Safety and Interpretability and its Applications in Cyber-Physical Systems, Ubiquitous Computing, IoT and Digital Health.
Requirement: Solid math background, Strong programming skills, Enthusiasm for high-impact research (Only highly qualified candidates will be considered)
Funding: CSC-Exeter PhD Scholarships (Exeter has 50 available positions each year, deadline: January); other funding opportunities

Short Bio

Currently, I am a Senior Lecturer in Data Science (~Associate Professor in US system) in the College of Engineering, Mathematics and Physical Sciences at University of Exeter, UK.

Before my current position, I was a Lecturer in the School of Computing and Communications, Lancaster University. Before that, funded by the EPSRC Project - Mobile Robotics: Enabling a Pervasive Technology of the Future, I had worked as a Postdoctoral Researcher with Prof. Marta Kwiatkowska in the Department of Computer Science at University of Oxford for two years. I received my Ph.D. degree from the School of Computer Science at University of Adelaide, under the supervision of Prof. Michael Sheng. During my PhD, I did a six-month research intern in IoT Tech Center (GreenOrbs), Tsinghua University. Before my PhD, I was a Control System Engineer in Institutes of Optics and Electronics, Chinese Academy of Sciences. I obtained my Master degree in Control Science and Engineering and my Bachelor degree in Automation, both from Central South University, China.

My current research interests lie in:

  • Robustness, Safety and Interpretability of Deep Learning Models

  • Machine Learning and Its Applications in Cyber-Physical Systems, Ubiquitous Computing, IoT and Digital Health

News

Selected Publications

Grants/Awards

  • PRF Project “Towards Accountable and Explainable Learning-enabled Autonomous Robotic Systems”, Funded through Offshore Robotics for Certification of Assets (ORCA) Hub; Role: PI at Lancaster Univ; Time: Nov 2019 - Aug 2021 (One PostDoc and one PhD position are available for this project, please contact me if you are interested)

  • Subcontract from Project “Test Coverage Metrics for Artificial Intelligence V2”, Funded by Defence Science and Technology Laboratory (DSTL); Role: PI of Subcontract at Lancaster Univ; Time: Oct 2019 - Oct 2020

  • Dean's Commendation for Doctoral Thesis Excellence, The Univeristy of Adelaide, 2017

  • Scholarship for Outstanding Ph.D. Students Study Abroad, Awarded by China Government, 2017 (3 students majored in CS awarded in Australia, overall select 500 PhD students globally from all majors)

  • Best Student Paper Runner-up, ADMA 2016, Gold Coast, Australia

  • SIGIR Travel Grant for attending CIKM 2016, Indianapolis, USA

  • Best Poster Award, The 9th ACM International Workshop on IOT and Cloud Computing, Wuxi, China

  • Highly Commended Research Poster Award, The 25th Australia Database Conference (ADC 2014) PhD School in Big Data, Brisbane, Australia