Hey there 👋
I'm a Research Fellow at the National University of Singapore, working at the intersection of AI and spatial computing. My research applies machine learning to human sensing — predicting VR cybersickness from gameplay video, classifying physiological signals from EEG, and building intelligent interactive systems in XR.
I publish at top HCI venues (CHI, IEEE VR, ISMAR, SIGGRAPH) with 700+ citations, and I build tools and prototypes that bridge the gap between research and real products.
📍 prasanthsasikumar.com · Google Scholar
Python · PyTorch · scikit-learn · OpenCV · LLMs/Agents · Unity/C# · TypeScript · EEG/Physiological Signals
🎭 Multimodal Emotion Prediction · Two-stage framework fusing text, audio, vision, and motion for emotion mimicry intensity prediction. 3rd place in the CVPR 2026 ABAW Challenge.
🎮 VR.net: ML for Cybersickness · A 165-hour labeled gameplay dataset and ML pipeline for predicting VR motion sickness from video frames. IEEE TVCG 2024.
🧬 Inter-Brain Synchrony in VR · EEG hyperscanning to measure neural synchrony and eye gaze patterns during VR collaboration. CHI 2022.
💓 Physiological Cues for Remote Collaboration · Representing emotional patterns from physiological data in shared VR environments. IEEE VR 2024.
😴 Zenflow: MR for Sleep & Relaxation · Investigating mixed reality transitions to enhance sleep and relaxation. CHI 2026.
👁️ MR Remote Collaboration · Eye gaze and hand gesture sharing for mixed reality remote collaboration. CHI 2020.
I write about things I'm learning and building on prasanthsasikumar.com — mostly at the intersection of AI, XR, and human-computer interaction. I also mentor early-career researchers and developers getting into spatial computing.