Students

Current (Georgia State University)

1. Abdullah Al Rahat, Ph.D., Computer Science, Generative Models - Diffusion, 2022 - to present.

2. Minoo Jafarlou, Ph.D., Computer Science, Out of Distribution Learning, 2024 - to present.

3. Hasan Mahmud, Ph.D., Computer Science, Diffusion Models - Editing, 2024 - to present.

4. Nagasai Thadishetty, Ph.D., Computer Science, Multimodal Diffusion Models, 2025 - to present.
   
   

1. Ruchir Namjoshi, M.S. Project, Computer Science, Fine-tuning Diffusion Models, 2024 - to present.

2. Sai Rohith Kota, M.S. Project, Computer Science, Image RePainting, 2025 - to present.

3. Roshan Kandel, M.S. Project, Computer Science, Fine-tuning GPT-like Generator, 2025 - to present.

4. Sandesh Gyawali, M.S. Project, Computer Science, Mapping Cause-Effect Relations in Text, 2025 - to present.

5. Haneesha Davuluri, M.S. Project, Computer Science, Automating Essay Grading, 2025 - to present.

6. Yusuf Adamu, M.S. Project, Computer Science, Evaluating LLMs as an Assistant for the Blind, 2025 - to present.
   
   

1. Logan Sprinkle, Undergrad, Computer Science, Machine Learning - Dimensionality Reduction, Mentor, 2024 - to present.

2. Abhinav Vishnuvajhala, Undergrad (Georgia Tech), Computer Science, Exoplanet Habitability Analysis, Mentor, 2022 - to present.

Past (Georgia State University)

1. Saketh Polavarapu, M.S. Project, Computer Science, Active Learning for Medical Image Classification, 2023 (Graduated).

2. Aryan Shrestha, M.S. Project, Computer Science, Exoplanet Habitability Classification, 2023 (Graduated).

Past (Arizona State University)

1. Sandipan Choudhuri, Ph.D., Computer Science, Exploring Unsupervised Domain Adaptation Through the Lens of Unconstrained Label-Space Overlaps, Mentor and Committee Member, 2020 - 2024.

2. Sachin Chhabra, Ph.D., Computer Science, Making the Best of What We Have: Novel Strategies for Training Neural Networks under Restricted Labeling Information, Mentor and Committee Member, 2019 - 2024.

3. Prasanth Sai Gouripeddi, Ph.D., Computer Science, Gaze Estimation, Mentor, 2021 - 2023. (Discontinued Mentoring)

4. Nickolas Dodd, Ph.D., Computer Science, Bayesian Models for Uncertainty Estimation, Mentor, 2019 - 2021. (Discontinued Mentoring)

5. Meredith Moore, Ph.D., Computer Science, Generative Models for Speech Enhancement, Mentor and Committee Member, 2015 - 2020.

6. Bijan Fakhri, Ph.D., Computer Engineering, Image Representations Under Information Constraints, Mentor and Committee Member, 2015 - 2020.

7. Corey Heath, Ph.D., Computer Science, Multimodal Data Analysis for Enhancing Pivotal Response Treatment, Mentor and Committee Member, 2018 - 2019.

8. Hiranmayi Ranganathan, Ph.D., Computer Science, Deep Active Learning Explored Across Diverse Label Spaces, Mentor, 2018.
   
   

1. Venkatesh Vaidyanathan, Masters, Computer Science, Monocular Visual Odometry: Deep Learning vs Classical Approaches, Co-Chair, 2021 - 2022.

2. Vivek Maskara, Masters, Computer Science, Activity Recognition Models, Co-Chair, 2020 - 2022.

3. Aksheshkumar Shah, Masters, Mechanical Engineering, Zero-shot Learning, Co-Chair, 2020 - 2022.

4. Nithiya Uppara, Masters, Computer Science, Short Term Memory Augmentation Models, Co-Chair, 2019 - 2021.

5. Diksha Goyal, Masters, Computer Science, Medical Image Segmentation using Interactive Refinement, Committee Member, 2021.

6. Shivam Bajpai, Masters, Computer Science, Pre-trained Models for nnUNet, Committee Member, 2021.

7. Kalyan Ainala, Masters, Electrical Engineering, Open-set Recognition, Mentor, 2019 - 2021.

8. Bhadrinath Nagabandi, Masters, Computer Science, OpenSet Domain Adaptation, Co-Chair, 2018 - 2020.

9. Raghavendran Ramakrishnan, Masters, Computer Engineering, Conceptual Image Caption Systems, Co-Chair, 2018 - 2020.

10. Maunil Vyas, Masters, Computer Science, Zero-shot Learning, Co-Chair, 2018 - 2020.

11. Akshar Patel, Masters, Computer Science, Shopping Assistant for the Blind Using Computer Vision, Co-Chair, 2019 - 2020.

12. Rishabh Patil, Masters, Computer Science, Incremental Learning Through Hashing, Co-Chair, 2018 - 2020.

13. Sachin Chhabra, Masters, Computer Science, An Investigation into Modern Facial Expressions Recognition by a Computer, Committee Member, 2019.

14. Piyush Papreja, Masters, Computer Science, Representation, Exploration, and Recommendation of Music Playlists, Mentor and Committee Member, 2019.

15. Andrew Dudley, Masters, Computer Science, Domain Adaptive Fusion for Adaptive Image Classification, Mentor and Committee Member, 2019.

16. Aditya Prasad Mishra, Masters, Computer Science, Decision Support for Crew Scheduling using Automated Planning, Committee Member, 2019.

17. Jaya Vijetha Gattupalli, Masters, Computer Science, Towards Learning Compact Visual Embeddings using Deep Neural Networks, Mentor and Committee Member, 2019.

18. Prashant Garg, Masters, Computer Science, Improving Intent Classification By Automatic Data Augmentation Using Word Sense Disambiguation, Committee Member, 2018.

19. Jose Eusebio, Masters, Computer Science, Learning Transferable Data Representations Using Deep Generative Models, Mentor and Committee Member, 2018.
    
    

1. Matthew Budiman, Undergrad Honors, Computer Science, Open Domain Chatbots for Language Learning, Chair, 2020.

2. Douglas Frace, Undergrad Honors, Computer Science, Facial Expression Recognition Systems, Chair, 2019.

3. Jose Eusebio, Undergrad Honors, Computer Science, Convolutional Neural Networks for Facial Expression Recognition, Mentor and Committee Member, 2016.

4. Chelsea Brzezinski, Undergrad Honors, Computer Science, The Dyadic Interaction Assistant for Individuals with Visual Impairments, Mentor and Committee Member, 2013.