Senior Lecturer, School of Computing, NUS
COM3-02-45, NUS, Singapore
chris@comp.nus.edu.sg
Research Interests
Applied Machine Learning & AI
Natural Language Processing
Database & Information Systems
Social Media & Network Analysis
Christian von der Weth
I'm a Senior Lecturer in the School of Computing at the National University of Singapore. I received my MSc from the Ilmenau University of Technology and PhD from the Karlsruhe Institute of Technology. Before joining NUS, I worked as a Research Fellow at the Nanyang Technological University in Singapore and the National University of Ireland, Galway. Prior to being a Lecturer, I was Senior Research Fellow at the NUS Centre for Research in Privacy Technologies (N-CRiPT) in SoC.
Teaching
Current: AY 2025/2026
Past Semesters
- AY23/24 Sem 2: CS4248, CS5246, MTM5004
- AY24/25 Sem 1: CS2102, CS5228
- AY23/24 Sem 2: CS4248, CS5246, MTM5004
- AY23/24 Sem 1: CS2102, CS5228, MTM5004
- AY22/23 Sem 2: CS4248, CS5246
- AY22/23 Sem 1: CS2102, CS5228
- AY21/22 Sem 2: CS2102, CS4248, CS5228
- AY21/22 Sem 2: CS2102, CS5228
- AY20/21 Sem 2: CS5228
Active Projects
The goal of SELENE is to be an open platform for self-paced learning and self-assessment, with a focus on but not limited to AI and related topics. Simply speaking, SELENE can be seen as a large-scale virtual textbook; the platform consists of two core components:
- Jupyter notebook repository (Github): Jupyter Notebooks are an open-source, interactive computing environment that allows you to create and share documents containing live code, equations, visualizations, and narrative text. They allow for a hands-on learning experience through modifying and running code examples. The repository will be a comprehensive and well-structured set of such notebooks organized into meaningful topics, projects, and applications.
- Interactive web interface (current prototype): The web interface will allow users to visualize, navigate, and search for topics. It will also be able to recommend and visualize mastery paths for self-paced learning and provide knowledge checks for self-assessment. The web interface is currently under active development, but you can check out the current prototype; here are also two example screenshots of the SELENE web interface:
Selected Publications
- Ashraf M. Abdul, Christian von der Weth, Mohan S. Kankanhalli, Brian Y. Lim: COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations. CHI 2020 [PDF]
- Christian von der Weth, Jithin Vachery, Mohan S. Kankanhalli: Nudging Users to Slow Down the Spread of Fake News in Social Media. ICME Workshops 2020 [PDF]
- Christian von der Weth, Ashraf M. Abdul, Shaojing Fan, Mohan S. Kankanhalli: Helping Users Tackle Algorithmic Threats on Social Media: A Multimedia Research Agenda. ACM Multimedia 2020 [PDF]
- Christian von der Weth, Ashraf M. Abdul, Abhinav Ramesh Kashyap, Mohan S. Kankanhalli: CloseUp - A Community-Driven Live Online Search Engine. ACM Trans. Internet Techn. 19(3): 39:1-39:21 [PDF]
- Christian von der Weth, Ashraf M. Abdul, Mohan S. Kankanhalli: Cyber-Physical Social Networks. ACM Trans. Internet Techn. 17(2): 17:1-17:25 (2017) [PDF]
- See Google Scholar for a complete list.