RESEARCH-BASED PROGRAMME - AI AND DEEP LEARNING
PROGRAMME OBJECTIVES
The AI and Deep Learning Research Programme is a foundational program that will help you understand the capabilities, challenges, and consequences of AI and deep learning. The program will benefit students by preparing them for research and allowing them to participate in the development of leading-edge AI technology. Topics include deep learning neural networks for structured data, computer vision, and natural language tasks.
The programme will be delivered through synchronous lectures and mentoring sessions and interactive Q&A sessions. Towards the end of the programme, students will work in groups to submit a group paper on the topic of interest.
PROGRAMME HIGHLIGHTS
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| Welcome message from Dean of NUS SCALE |
Tutorials conducted over Zoom |
PRE-REQUISITES
Undergraduate students majoring in Electrical and Computer Engineering, Computer Science, Computer Engineering, Artificial Intelligence, Information Systems, Data Analytics, Statistics, and related topics. Students should have completed at least 6 semesters before joining the programme
WHO SHOULD ATTEND
Undergraduate students in related majors
MODE OF DELIVERY
34 hours of Synchronous sessions including lecture and mentoring session
MODE OF ASSESSMENT
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PROF. MEHUL MOTANI, IEEE FELLOW
National University of Singapore
Electrical and Computer Engineering
Institute of Data Science
Mehul Motani received the B.E. degree from Cooper Union, New York, NY, the M.S. degree from Syracuse University, Syracuse, NY, and the Ph.D. degree from Cornell University, Ithaca, NY, all in Electrical and Computer Engineering.
Dr. Motani is currently an Associate Professor in the Electrical and Computer Engineering Department at the National University of Singapore (NUS) and a Visiting Research Collaborator at Princeton University, USA. He is also a member of the NUS Institute for Data Science, the N.1 Institute for Health, and the NUS Smart Systems Institute. Previously, he was a Visiting Fellow at Princeton University. He was also a Research Scientist at the Institute for Infocomm Research in Singapore, for three years, and a Systems Engineer at Lockheed Martin in Syracuse, NY for over four years. His research interests include information theory and coding, AI and machine learning, biomedical informatics, wireless and sensor networks, and the Internet-of-Things.
Dr. Motani was the recipient of the Intel Foundation Fellowship for his Ph.D. research, the NUS Annual Teaching Excellence Award, the NUS Faculty of Engineering Innovative Teaching Award, and the NUS Faculty of Engineering Teaching Honours List Award. He is a Fellow of the IEEE, a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), and has served as the Secretary of the IEEE Information Theory Society Board of Governors. He has served as an Associate Editor for both the IEEE Transactions on Information Theory and the IEEE Transactions on Communications. He has also served on the Organizing and Technical Program Committees of numerous IEEE and ACM conferences.
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CERTIFICATE OF COMPLETION
Successful participants who complete all requirements of the programme including passing the assessment will receive a certificate of completion issued by NUS SCALE.
A sample of the certificate of completion can be found here:
Participants from the project team with the highest score for the group project will also receive a commendation letter. A sample is shown below:
UPCOMING SESSIONS
For enquiries, please contact us at sgprogrammes@nus.edu.sg