Courses and UG/MSc Projects

Teaching

• 2020-2021, Module Convener & Lecturer, ECM2427 - Outside the box: Computer Science Research and Applications, University of Exeter

• 2020-2021, Module Convener & Lecturer, COM2014 - Computational Intelligence, University of Exeter

• 2020-2021, Coordinator, ECMM451 - Data Science Research Project, University of Exeter

• 2019-2020, Lecturer, SCC130: Information System, Lancaster University

• Michaelmas Term 2019 to Summer Term 2020, Supervisor, SCC300: Third Year Student Project, Lancaster University

• Summer Term 2019, Supervisor, DS591: MSc Data Science Project, Lancaster University

• Trinity Term 2018, Class Marker and Teaching Assistant, Machine Learning Revision Classes, University of Oxford

• Trinity Term 2018, Class Marker and Teaching Assistant, Intelligent Systems Revision Classes, University of Oxford

• Michaelmas Term 2017, Class Marker and Practical Demonstrator, Machine Learning, University of Oxford

• S1 2017, S1 2015, Practical Supervisor and Tutorial Teacher, Scientific Computing, The University of Adelaide

• S2 2016, Tutorial Teacher and Workshop Supervisor, Introduction to Software Engineering, The University of Adelaide

• S1-S2 2016, Workshop and Practical Supervisor, Introduction to Programming, The University of Adelaide

UG/MSc Project Supervision

• June 2020 to September 2020, Lancaster University, Zheng Wang, MSc Data Science Project (DS591): Lower Bound Estimation for Robustness of Neural Networks By R-Largest Approach

• Michaelmas Term 2019 to Summer Term 2020, Lancaster University, Charles Tam, Third Year Project (SCC300): Dynamic Gesture Recognition with Supervised Learning (Result: Distinction, now a MSc student at University of Manchester)

• Michaelmas Term 2019 to Summer Term 2020, Lancaster University, Chester Huang, Third Year Project (SCC300): Acoustic-based Device-Free Finger Motion Tracking (Result: Distinction)

• Michaelmas Term 2019 to Summer Term 2020, Lancaster University, Edward Corke, Third Year Project (SCC300): Can I Interact with My Smartphone on Any Surface? (Result: Distinction)

• June 2019 to September 2019, Lancaster University, Joshua Bailey, MSc Data Science Project (DS591): Using Recurrent Neural Networks to identify problem gamblers (Project hosted by The Behavioural Insights Team, London)

• Trinity Term 2018 to Trinity Term 2019, University of Oxford, Long Pham, Undergraduate Research Project: Safety Assurance for Deep Neural Networks (co-supervised with Prof. Marta Kwiatkowska, Now PhD student at CMU, US)

• Trinity Term 2018, University of Oxford, Thomas Stell, MSc Research Project: Universal L0 Adversarial Perturbations for Deep Neural Networks (co-supervised with Prof. Marta Kwiatkowska, Awardee of Data Science Fellowship, The Data Incubator)

• Trinity Term 2018, University of Oxford, Pawel Ziabel, MSc Research Project: Safety Verification of End-to-end Neural Network Controllers (co-supervised with Prof. Marta Kwiatkowska, Now work at Facebook, London)

• S1-S2 2016, University of Adelaide, Rohit Kumar, Master Research Project: Do I Use Smart-phone Wrong? Automatically Recognize Unhealthy Use of Smartphones (co-supervised with Prof. Michael Sheng, Won Third Prize for the Best CS Research Project at Ingenuity 2016)

• S1-S2 2016, University of Adelaide, Yuhao Lin, Master Research Project: Trajectories of Mood: Unobtrusive Monitoring of Feeling Boredom by Exploring Usage Behaviors of Smartphones (co-supervised with Prof. Michael Sheng)

• S1-S2 2016, University of Adelaide, Jiatai Liu, Master Research Project: Hand Gesture Recognition Using Inaudible High-Frequency Audio Signal based on COTS Smartphones (co-supervised with Prof. Michael Sheng)

• S1 2015, University of Adelaide, Leon Chea, Bachelor (Advanced) Research Project: Daily Activity Recognition Using Embedded Sensors in Smartphones (co-supervised with Prof. Michael Sheng and Dr. Lina Yao, published one spotlight paper in ADMA’16, Demo)

• S1 2015, University of Adelaide, Yuchieh (Henry) Yang, Bachelor (Advanced) Research Project: PhoneUseAdvice: Automatically Detecting Problematic Use of Smartphones (co-supervised with Prof. Michael Sheng and Dr. Lina Yao, published one demo paper in PerCom’16, Demo)