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)

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


Selected Publications


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

  • ARC DECRA Project “When Robust Deep Learning Meets Health IoT:Towards a Reliable and Explainable Health Monitoring and Caring System”, Funded by Australian Research Council, Role: PI; Time: 2020 - 2023

  • Subcontract from Project “Test Coverage Metrics for Artificial Intelligence V2”, Funded by Defence Science and Technology Laboratory (DSTL); Role: PI of the subcontract; Time: Oct 2019 - March 2021

  • Dean's Commendation for Doctoral Thesis Excellence, The University 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, 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