Graduated PhD Students:
1. Aparna Raj ( Thesis defended April 2024)
Title of Thesis: Frameworks for Smart City : Parking, Secure Home Automation, and Indoor Localization
Examiners:
1. Prof. Vikram Pudi , Professor IIIT Hyderabad, India.
2. Prof. Sanjay Singh , Professor IIT (BHU), Varanasi, India.
3. Prof. Ram Bilas Pachori, Professor, IIT Indore, India.
2. Aljo Jose (Thesis defended in August 2023)
Title of Thesis: Accurate, Efficient, and Interpretable Deep Learning Based User Response Prediction in Online Advertising
Examiners:
1.Prof. Bharat Bhasker, Director Indian Institute of Management Ahmedabad (IIMA),India
2. Prof Prof. Ravindranath Chowdary,Associate Professor,Dept. of CSE, IIT (BHU), Varanasi,India.
3. Lekha Nair (Thesis defended in August 2020)
Title of Thesis: Implementing Optimized Static and Streaming Analytics, Visualization and Secure Storage of Big Data on Cloud
Examiners:
1. Prof. Tan Kian Lee, National University of Singapore, Singapore.
2. Dr. V. Susheela Devi, Dept. of Computer Science and Automation, Indian Institute of Science (IISc), Bangalore, India
Current PhD Students:
1. Ms. Seemaben Aswani, Supervisor: Dr. Sujala D. Shetty, Topic: Deep Learning-based Models for Explainable Text Summarization with Reduced Bias. Started 2022
2. Ms. Sheeba Uruj, Supervisor: Dr. Sujala D. Shetty, Co-Supervisor: Dr. V. Kalaichelvi, Topic: Augmented Reality Assisted Digital Twins in Mobile Robots. Started 2023
3. Mr. Veer Abhimanyu Singh, Supervisor: Dr. Sujala D. Shetty, Co-Supervisor: Dr. Siddhaling Uroligin, Topic: Knowledge Graph Enabled Recommender System to improve Non Verbal Communication Skills. Started 2022
4. Mr. Abdul Mohsin, Supervisor: Dr. Sujala D. Shetty, Topic: Cybersecurity posture management on digital twin of a simulated hybrid infrastructure. Started 2023
5. Ms. Kabita Choudhary, CDRF Research Fellow, Co-Supervisor: Dr. Sujala D. Shetty, Supervisor: Prof. Ram Kartikeyan, Co-Supervisor: Prof. Kalaichelvi. Topic: Virtual Reality Driven Solutions to Grasping and Dynamic Path Planning for Mobile Manipulators Using Quantum Robotics and Deep Learning. Started 2024
