Tamil Selvan Gunasekaran ☕️
Tamil Selvan Gunasekaran

PhD Candidate

“Technology should enhance human connection, not replace it. My mission is to create AI systems that amplify our collective human potential in virtual spaces.”

About Me

I’m Tamil Selvan, a second-year PhD candidate at the Empathic Computing Lab, University of Auckland. Under the guidance of Prof. Mark Billinghurst, Asst. Prof. Yun Suen Pai, and Dr. Huidong Bai, I’m exploring the intersection of human cognition and artificial intelligence in virtual environments.

Download CV
Interests
  • Human-AI Interaction and Collaboration
  • Extended Reality
  • Assistive Augmentation
  • Machine Learning and Sensing
Education
  • PhD in Human Computer Interaction

    The University of Auckland

  • MEng in Human Computer Interaction

    The University of Auckland

  • B.Tech in Electronics and communication Engineering

    Vellore Institute of Technology

📚 My Research

My doctoral research, “AI-Augmented Collaborative Cognition in Virtual Meetings,” investigates how to enhance group cohesion and cognition in Human-AI teams during virtual meetings—a field that has become increasingly vital in our digitally connected world. This passion for human-technology interaction was sparked during my collaboration with Google ATAP, where I worked on body-centric interactions using radar technology. This experience revealed the transformative potential of human-technology interfaces and led me to my current research path.

Today, I’m developing innovative approaches to integrate AI systems into virtual collaborations, investigating how they can enhance collective intelligence and group dynamics in extended reality environments. My goal is to transform virtual meetings from simple communication channels into spaces of enhanced collective potential, where technology seamlessly amplifies human connection and collaboration.

Please reach out to collaborate 😃

Featured Publications
Recent Publications
(2022). RaITIn: Radar-Based Identification for Tangible Interactions. In CHI-2022.
(2021). VRTwitch: Enabling Micro-motions in VR with Radar Sensing. In SIGGRAPH Asia 2021 Posters.
(2021). KinVoices: Using Voices of Friends and Family in Voice Interfaces. In CSCW-2021.
(2021). Adapting Fitts’ Law and N-Back to Assess Hand Proprioception. In CHI-2021.
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