I'm a final year Ph.D. student at National University of Singapore advised by Professor Li-Shiuan Peh. Before joining NUS, I completed my bachelors and masters degrees from Thiagarajar College of Engineering, India and National University of Singapore respectively.
My research involves (1) building easily integrable next-generation Wearable sensing techniques for applications spanning from non-invasive physiological/health sensing to human computer interaction and (2) developing faster AI-inference enabled body-worn tactile wearable interaction systems. My others interests are Wireless health sensing techniques, Low power AR/VR sensing and Mobile/Wearable computing.
Low power and minimal calibration solution for in-ear sensing in hearables.
Exploration into in-ear PPG signals for robust vital sign sensing with future hearables and how blood pressure sensing can be achieved in future hearables.
Low power and Low compute interaction input methods/techniques for future Augmented Reality
Backend development for predicting routes and arrival times in Marine logistics
Noise Filtering and UAV tracking with neuromorphic cameras (ATIS camera)
Deep Learning based sentence classification for chatbots
Devlopment of a Natural Language based question answering system
Automatic form filling and table identification for payment invoices, sales spreadsheets, resume etc.
Paper Reviewer: ACM IMWUT
Paper Reviewer: ACM IMWUT, CHI, TEI, DIS, Ubicomp/ISWC, EICS
Paper Reviewer: ACM IMWUT, CSCW, Transactions on Computers(TC), CHI, TEI, Ubicomp/ISWC, MobileHCI
Paper Reviewer: ACM IMWUT, CHI, TEI, DIS, MobileHCI, World Haptics Symposium, ISMAR
Programme Committee Member: EICS 2023 Late breaking work, Mobisys 2023 Atrifcat evaluation