• Artificial Intelligence
  • Computer Science

PhD

Ankur Bhatt

TU Dortmund University
Joseph-von-Fraunhofer-Str.25
Room 225
44227 Dortmund
Germany

Academic Career and Research Areas:

Since January 2026, Ankur Bhatt has been a PhD Student at the Human-AI Interaction chair at TU Dortmund. He earned his Bachelor’s degree in Computer Science from Manav Rachna University, India, in 2020. Driven by a strong interest in Artificial Intelligence, he moved to Germany in 2021 to pursue a Master’s degree in Computer Science with a specialization in AI. 

He is particularly interested in understanding how intelligent systems can interpret human behavior and intentions in real-world settings. For his PhD, he aims to develop proactive robotic systems capable of anticipating human intent in collaborative environments. His long term goal is to enable robots to understand human actions and behavioral cues more effectively, allowing them to respond in a timely, supportive, and intelligent manner during human-robot collaboration.

His research interests focus on Human–Robot Collaboration, especially on developing proactive robotic systems that can anticipate and support humans. He is also interested in Human–AI Interaction, gaze and eyewear computing, Natural Language Processing, and multilingual language technologies.

 

Key Publications:

  1. Bhatt, A., Watanabe, K., Dengel, A., & Ishimaru, S. (2024). Appearance-based gaze estimation with deep neural networks: From data collection to evaluation. International Journal of Activity and Behavior Computing, 2024(1), 1-15.
  2. Bhatt, A., Watanabe, K., Santhosh, J., Dengel, A., & Ishimaru, S. (2024). Estimating self-confidence in video-based learning using eye-tracking and deep neural networks. IEEE Access, 12, 192219-192229.
  3. Liu, M., Ray, L. S. S., Bian, S., Watanabe, K., Bhatt, A., Sorysz, J., ... & Lukowicz, P. (2025, October). From Neck to Head: Bio-Impedance Sensing for Head Pose Estimation. In Proceedings of the 2025 ACM International Symposium on Wearable Computers (pp. 76-82).
  4. España-Bonet, C., Bhatt, A., Chowdhury, K. D., & Barrón-Cedeño, A. (2024, June). When Elote, Choclo and Mazorca are not the Same. Isomorphism-Based Perspective to the Spanish Varieties Divergences. In Proceedings of the Eleventh Workshop on NLP for Similar Languages, Varieties, and Dialects (VarDial 2024) (pp. 56-77).
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