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Meet the Team

Priyanka Bagade

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I am an assistant professor in the Computer Science and Engineering department at IIT Kanpur. Before that, I worked as a software architect in Intel Corporation, USA for 5 years. I have completed Ph.D. in Computer Science from Arizona State University under the guidance of Prof. Sandeep K. S. Gupta. My current research focuses on the internet of things, deep learning, and cyber-physical systems.

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Education

  • Ph.D. in Computer Science

       Arizona State University, AZ, USA 

       Thesis: Evidence-based Development of Trustworthy Mobile Medical Apps                                     

  • B. Tech. Electronics and Telecommunication Engineering,

       College of Engineering Pune,  Maharashtra, India

           

Curriculum Vitae (CV)

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Current Students

Graduated Students

MTech Students

  1. Arpit Nigam (2025) / Leakage Detection using IoT and Machine Learning

  2. Nitish Kumar (2025) / Enhancing Person Re-Identification Through Depth Images

  3. Atanu Shuvam Roy (2024) / Smart Infrastructure Management Using Integrated IoT Systems

  4. Alok Trivedi (2023) / Detecting and Forecasting Cyber Attacks with Graph Neural Networks and Attention Layers

  5. Tej Kiran Boppana (2022) / Network forensics for MQTT-based IoT networks

  6. Naga Durga Krishna Mohan Eaty (2022) / Digital twin for electric vehicle battery management

  7. Gaurav Singh Parihar (2022) / Ground surveillance using deep learning-based object detection in aerial images

  8. Sandeep Kumar Mishra (2022) / Multi-sensor based maritime surveillance system

MSR Students

  1. Nishant Valvi (2025) / Person re-identification using camera and radar sensors

  2. Debdeep Roy Chaudhuri (2024) / Applications of large language models (LLMs) in smart systems

  3. Ayushi Mishra (2023) / Digital forensics of medical Internet of Things

UGP (Under Graduate Research Project)

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  1. Aditi Khandelia (July 2024 – present) / Detecting DDoS attacks on IoT networks using adversarial neural network

  2. Kushagra Srivastava (July 2024 – present) / Detecting DDoS attacks on IoT networks using adversarial neural network

  3. Likhit Jonna Sai (Jan 2024 - present) / Spatiotemporal intrusion detection system for IoT networks

  4. Souptik Majumdar (Jan 2024 - present) / Spatiotemporal intrusion detection system for IoT networks

  5. Rohit Verma (Jan 2024 - present) / Spatiotemporal intrusion detection system for IoT networks

  6. L Gokulnath (Jan 2024 – May 2024) / Differentiating between Crohn’s and Intestine Tuberculosis using CT scan images and deep learning – in collaboration with SGPGI hospital, Lucknow

  7. Talin Gupta (July 2024 – May 2025) / Person reidentification using depth camera

  8. Shashwat Gupta (Jan 2024 – May 2024) / Differentiating between Crohn’s and Intestinal Tuberculosis using CT scan images and deep learning – in collaboration with SGPGI hospital, Lucknow

  9. Aditya Ajmera (Aug 2023 – Dec 2024) / Digital forensics of Medical Devices, project funded by GE Healthcare, India

  10. Kalika (Aug 2023 – Dec 2024) / Digital forensics of Medical Devices, project funded by GE Healthcare, India

  11. Mohak Singh Rana (Aug 2023 – Dec 2024) / Digital forensics of Medical Devices, project funded by GE Healthcare, India

  12. Bornadhya Abir Rajbongshi (Aug 2023 – Dec 2024) / Digital forensics of Medical Devices, project funded by GE Healthcare, India

  13. Dhruv Garg (Aug 2023 – Dec 2024) / Digital forensics of Medical Devices, project funded by GE Healthcare, India

  14. Mihir R Deshpande (Aug 2023 – Dec 2024) / Digital forensics of Medical Devices, project funded by GE Healthcare, India

  15. Nitesh Kaushal (Aug 2023 –  Dec 2024) / Digital forensics of Medical Devices, project funded by GE Healthcare, India

  16. Rajat Gattani (Aug 2023 – Dec 2024) / Digital forensics of Medical Devices, project funded by GE Healthcare, India

  17. Tejas Ramakrishnan (Jan 2023 – May 2023) / Water leakage detection using IoT Systems

  18. Aryan Vora (August 2022 – May 2023) / Brain Tumor Segmentation with input variable image

  19. Bhagwat Garg (Jan 2023 – May 2023) / Video Compression for Moving Ambulance Systems

  20. Aniket Borkar (Jan 2023 – May 2023)/ Water leakage detection using IoT Systems

  21. Hitesh Anand (Jan 2022 – Dec 2022) / AI based code generation for image processing

  22. Arpit Kumar Rai (Aug 2022 – Dec 2022) / AI based code generation for image processing

  23. Mehta Shrey Kartik (Aug 2022 – Dec 2022) / AI based code generation for image processing

  24. Divyansh (Aug 2022 – Dec 2022) / Video compression for teleambulance system

  25. Bhavya  Garg (Aug 2022 – Dec 2022) / Video compression for teleambulance system

  26. Samarpreet  Singh (Aug 2022 – Dec 2022) / Federated learning on IoT devices

  27. Som Tambe (Aug 2021 – Dec 2021) / Deep learning models performance evaluation of system containers

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H.R. Kadim Diwan Building, IIT Kanpur, U.P. 208016

pbagade@iitk.ac.in

0512-259 0151 

© 2023 Made with dedication by IoT Vision Lab, IITK 

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