Anirban Mukherjee is a research-focused AI and computer vision engineer with eight years of experience bridging multimodal perception, generative modeling, and human-computer interaction across academic and applied projects. Currently a PhD candidate at EPFL and Research Assistant at Idiap, he contributes to perception and activity understanding research while previously building immersive VR-based virtual patient systems and multimodal datasets for healthcare and wireless sensing. His work spans vision, graphics, NLP, speech, and time-series, with practical strengths in synchronizing multi-sensor streams and quantifying social cues like gaze and posture. Comfortable in collaborative, interdisciplinary teams, he also organizes and teaches AI workshops for communities such as Google ExploreML and Facebook Developers Circle, reflecting a commitment to outreach and reproducible research. Notably, he has combined deep learning with domain-specific evaluation in medical and 6G healthcare contexts, demonstrating an ability to move models from dataset to real-world evaluation.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Technology, Computer Science, Bachelor of Technology, Computer Science at University of Engineering & Management (UEM) Kolkata
Master of Science by Research, Data Science, Master of Science by Research, Data Science at International Institute of Information Technology Bangalore
Doctor of Philosophy - PhD, Artificial Intelligence and Computer Vision, Doctor of Philosophy - PhD, Artificial Intelligence and Computer Vision at EPFL
Computer Science, Computer Science at Apeejay School, Salt Lake
Classify sequences of mobile sensor data into specific movements
Contributions:3 PRs, 44 pushes, 1 branch in 10 months
classifysensorsensor-datamovements
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Anirban Mukherjee - Research Assistant at Idiap Research Institute