Machine Learning for Digital Biomarker-Based Detection of Cognitive Decline
Digital biomarker technology is an emerging pragmatic approach to permit objective, ecologically valid, and long-term continuous measurement of cognitive health status, rendering it as one of the promising technologies for early MCI detection. Despite its potential, it is nontrivial to encode, extract and combine predictive information from these digital biomarker technologies.
In this dissertation, the overall machine learning task for digital biomarker technology to detect MCI is organized into three research problems to be successively tackled. First, the knowledge gaps in the understanding of the state-of-the-art (SOTA) ML techniques employed for digital biomarker technologies to detect cognitive decline were addressed by conducting a systematic review and meta-analysis of relevant studies. Next, the technical challenge of tackling the prevalent small subject sample size real-world data problem in digital biomarker studies was tackled via investigating a unique ML technique, namely the predictive self-or…
Subtitle: PhD Dissertation Defense by TEH Seng Khoon. Contact: scisseminars@smu.edu.sg. Speaker Details: , TEH Seng Khoon
PhD Candidate
School of Computing and Information Systems
Singapore Management University, Seng Khoon TEH is a part-time Ph.D. candidate at the School of Computing and Information Systems at Singapore Management University (SMU) under the guidance of Professor Tan Ah-Hwee. His Ph.D. research focuses on transdisciplinary domains encompassing the development of self-organizing neural networks for application on digital biomarker technologies to early detect geriatric diseases. Prior to the… RSVP: . Reserve a seat: https://forms.office.com/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9UOEhEUEw3R1E3NDg1VVdVOFBZWUxYTTZTNiQlQCNjPTEu. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community.
Tuesday, July 15, 2025, 10:00 AM – 11:00 AM.
Meeting room 5.1, Level 5. SMU SCIS 1, Singapore 178902.
For more info visit computing.smu.edu.sg. MITB Coffee Session (Singapore)
Public Events
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RSVP: . Reserve a seat: https://scispg.smu.edu.sg/acton/media/44865/mitbcsscis0725. Type: Information Sessions. Subject: Analytics for Business, Consumer & Social Insights. International. Leadership. Learning & Professional Development. Information Technology & Systems. Innovation & Entrepreneurship. Strategic Management. Audience: Public. Professionals. Prospective Student.
Wednesday, July 16, 2025, 7:00 PM – 8:00 PM.
In-Campus
SMU School of Computing and Information Systems
Limited seats available!
Complimentary Starbucks on us!
For more info visit scispg.smu.edu.sg. Memory-Efficient Graph Processing on GPUs: Reducing Intermediate Data Structure Overhead
The increasing scale of real-world graphs in domains such as fraud detection, community detection, and biological analysis demands high-throughput, memory-efficient graph processing solutions. This dissertation addresses the challenge of reducing intermediate memory overhead in GPU-based graph processing through sketching, compression, and sampling techniques. These techniques are well-suited to a wide range of algorithms. In this dissertation, we select two representative examples, label propagation and subgraph counting, to demonstrate our contributions.
Our first contribution is GLP, a GPU-accelerated label propagation framework that targets the problem of frequent label tracking under tight memory constraints. GLP incorporates Count-Min Sketch and compact GPU hash tables to track most frequent labels, significantly reducing the required memory. Building upon this foundation, the second one introduces CGLP+, a memory-optimized framework for label propagation over compressed graphs. Traditional GPU frame…
Subtitle: PhD Dissertation Defense by YE Chang. Contact: scisseminars@smu.edu.sg. Speaker Details: , YE Chang
PhD Candidate
School of Computing and Information Systems
Singapore Management University, Chang YE is a Ph.D. candidate at the School of Computing and Information Systems, Singapore Management University (SMU) under the guidance of Prof Yuchen LI. Before joining SMU, Chang received his BSc and MSc degrees in the area of Electronic Engineering from the Xidian University, in 2014 and 2018, respectively. His research interests are graph analytics and heterogeneous computing. RSVP: . Reserve a seat: https://forms.office.com/Pages/ResponsePage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTejbEKPlArBJhZomj91naG9UMklVTUVQU1Y1RVAzSVVCODA4UllBMDlHRyQlQCNjPTEu. Type: Seminars & Workshops. Subject: Information Technology & Systems. Audience: Public. Current Student. Academic Community.
Friday, July 18, 2025, 10:00 AM – 11:00 AM.
Meeting room 5.1, Level 5. SMU SCIS 1, Singapore 178902.
For more info visit computing.smu.edu.sg. SMU Doctor of Engineering (EngD) Virtual Information Session
Infosessions
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RSVP: . Reserve a seat: https://scispg.smu.edu.sg/acton/media/44865/engdis0825. Type: Information Sessions. Webinar & Online Learning. Subject: Business. Leadership. Operations Management. Organisational Behaviour. Strategic Management. Audience: Professionals. Prospective Student.
Thursday, August 21, 2025, 7:00 PM – 8:00 PM.
Virtual via Zoom
Details will be provided via email upon registration.
SCIS Industry Day 2025
This event aims to promote bilateral dialogue between Industry/Public and SCIS exploring opportunities and challenges at technology frontiers of mutual interest. This is achieved with a program by which both sides would hear the state-of-the-art and problems of priority from each other via talks, panels discussion, networking and break-out sessions.
More details at https://computing.smu.edu.sg/newsletter/scis-industry-day-4-september-2025-0?newsletter.
RSVP: . Reserve a seat: https://forms.cloud.microsoft/pages/responsepage.aspx?id=ynmKyZpakUeiQ_Bq_WdGTRhaonc6j4ZJnclQsZzigPJUNFhXVVZZVEU5T1RZMkRRU05PUTE1MjlZRS4u&route=shorturl. Type: Conferences & Symposiums. Social & Networking. Information Sessions. Subject: Information Technology & Systems. Audience: Public. Academic Community. SMU Faculty & Staff. Professionals.
Thursday, September 4, 2025, 8:30 AM – 4:30 PM.
SOSS/CIS Event Lobby, SMU.
For more info visit smu.sg.