Thivya Kandappu
Assistant Professor,
School of Computing and Information Systems,
Singapore Management University
**New** I am seeking motivated graduate students with a background in Electronics or Computer Science to work in the broad area of mobile and wearable computing. More specifically, I have two positions in the following areas: (a) VR/MR for technology-enhanced learning, and (b) detecting and monitoring physiological proxies for characterizing human cognition. If you are interested, please feel free to contact me via email. Further information about the fully funded PhD Graduate Program at SMU can be found here!
I'm an Assistant Professor in the School Computing and of Information Systems, at Singapore Management University. The specific themes of my research interests are: (a) mobile and wearable computing, and (b) human cognition, memory, and memorability.
My recent research efforts focus on leveraging mainstream wearable devices (e.g., smart glasses and in-ear earbuds) for fine-grained and individualized monitoring of human cognitive states, such as confusion and boredom, and modelling core cognitive skills, such as working memory and attention, while carrying out lifestyle activities (e.g., interacting with people, watching videos, and online learning).
News!
[Sep 24] Our paper EyeGraph got accepted at Neurips 24 Dataset and Benchmarks track. Congrats Nuwan!
[Sep 24] I'll be serving as a TPC member at IEEE Percom 25
[Sep 24] Our paper EyeTrAES got accepted at ACM IMWUT 24. Congrats Argha!
[Jun 24] I'll be serving as a TPC member of ICDCN 25
[May 24] One paper got accepted at Bodisys 24 (co-located with ACM MobiSys 24)
[Apr 24] One paper BreathPro got accepted at ACM IMWUT 24. Congrats Changshuo!
[Jan 24] I'll be serving as a member of the CSCW 2024 Program Committee as an AssociateChair (AC)
Research Grants
-
Understanding Temporal Dynamics of Core Cognitive Functions for Individualised Learning, Ministry of Education (MOE) Tier 1, PI (Project Level): Thivya KANDAPPU, 2023, S$123,755
-
BeyondTravel: a Multimodal Travel Records Analytics Framework, Academic Research Fund
(AcRF) Tier 2, Ministry of Education (MOE), PI (Project Level): ZHENG Baihua, Co-PI
(Project Level): Thivya KANDAPPU, 2020, S$544,872
-
Detection and Obfuscation of Privacy Sensitive Artefacts in Visual Life-logs Used for
Memory Enhancement, A*STAR Career Development Award, PI (Project Level):
Vigneshwaran Subbaraju, Collaborator: Thivya Kandappu, 2020, $599,400
-
Context-aware Privacy Protection in Augmented Memory & Reality Applications, Ministry of Education (MOE) Tier 1, PI (Project Level): Thivya KANDAPPU, 2019, S$91,200