Deepak Yeleshetty is a Ph.D. student in the Pervasive Systems group at the University of Twente, The Netherlands. His advisors are Dr. -Ing. Yanqiu Huang and Prof. Dr. Ing. Paul Havinga. He received his M.Sc. degree in Embedded Systems from the University of Twente in 2020. He completed his B.Eng., degree in Electrical and Electronics Engineering from Anna University, Chennai, India in 2016. His research interest lies in the fields of 3D Computer vision, deep learning, signal processing and distributed systems. 


  • Biochemistry, Genetics and Molecular Biology

    • Cow
    • Facial Recognition
  • Earth and Planetary Sciences

    • Recognition
    • Rigid Structure
    • Running
  • Engineering

    • Inertial Measurement
    • Models
    • Units of Measurement



Predicting Turn Maneuvers of Cyclists Using Bicycle-Mounted IMU with CNN-LSTMIn 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Article 10502681 (pp. 587-592). IEEE. Smit, G. d., Yeleshetty, D., Havinga, P. J. M. & Huang, Y.
3D Face Recognition for CowsIn BIOSIG 2020 - Proceedings of the 19th International Conference of the Biometrics Special Interest Group, Article 9211005. IEEE. Yeleshetty, D., Spreeuwers, L. & Li, Y. Face Recognition for CowsIn BIOSIG 2020: Proceedings of the 19th International Conference of the Biometrics Special Interest Group (pp. 163-171). Gesellschaft für Informatik. Yeleshetty, D., Spreeuwers, L. & Li, Y.

Research profiles

Deepak has worked as a Teaching Assistant to the master's course Ubiquitous/Pervasive Computing (192111301; 2021-2B)

He has also supervised two bachelor's projects on "Improving Road Safety for Bike Riders" and "Active Learning during Federated Learning in Object Detection", as part of the Bachelor's Research Project Module (202001050; 2020-2B)


University of Twente

Zilverling (building no. 11), room 5034
Hallenweg 19
7522 NH Enschede

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