Research & Scholarly Activity

Research Laboratory: 

Research Areas:

  • AI Ethics: Bias and Fairness algorithms, Privacy, Human-AI Interaction
  • Computer Vision (CV): Computational modeling, Facial Expression Recognition, Body pose estimation, Gender Classification, Image processing in Marine Science
  • Human-Computer Interaction (HCI):  Visual Search, Eye-tracking, Cognitive load, Designing for Gender and Diversity, Inclusiveness, Refugee Informatics
  • Human-Automation Interaction (HAI): User Performance, Eye-tracking, Cognitive Load, Error Detection, HCI for social good

Research Lab: Room: MH325

 

Alumni: 

Graduate Students: 

  1. Harrison Hwang, 2025 (City of San Jose) 
  2. Sai Mounika Peteti, 2025 (Tesla)
  3. Jennifer Chun, 2025 (SLAC National Accelerator Laboratory)
  4. Srinivas Rao Chavan, 2024 (Paypal)
  5. Kayla Musleh, 2024 
  6. Naga Srija Gopisetty,  2024 (Humanta Health)
  7. Neenu Antony, 2024
  8. Prathamesh Dixit,  2024 (Paypal)
  9. Athira Kumar, 2024 (Amazon Web Services)
  10. Rishi Prabhat Narayana Sannala,  2024 (Southweast Airlines)
  11. Akshay Sunil Gurnaney, 2023 (Google, Walmart Global Tech)
  12. Shayla Luong,  2023 (JPMorgan Chase  & Co)
  13. Ripujit Bamrah, 2023 (Evolphin)
  14. Jatin Battu, 2023
  15. Wenfan Zhang,  2024 (BestEdu Financial Group)
  16. Pradeep Narayana, 2023 (Amazon Web Services)
  17. Rebecca Zumaeta,  2023 (1041 IS Engineer-Assistant)
  18. Sourabh Deokar,  2023 (Tesla)
  19. Kaushik Pilligundla, 2023 (Fidelity Investments)
  20. Cheng-En Sung, 2023 (Applied Materials)
  21. Sriramm Muthyala Sudhakar,  2022
  22. Amer Rez, 2021 (Amazon)
  23. Devangi Chinchankar,  2021 (Meta)
  24. Ksheeraj Vepuri, 2020 (Meta)
  25. Siddartha Thentu, 2020 (Hewlett Packard Enterprise)

Undergraduate Students: 

  1. Karthik Renuprasad, 2025
  2. Ryan Bahram, 2023 (Now is a graduate student at Georgia Institute of Technology) 
  3. Anshul Jha, 2023 (Amazon)
  4. Aditya Raj Nair, 2023 (Airport AI)
  5. Chaz Chang, 2019 (Now is an intern at NASA and graduate student at SJSU)
  6. Diljot Singh, 2019 (Google, Yantra, Riveron)
  7. Yaman Jandali, 2019 (Now a PhD Student, University of California, San Diego)
  8. Gael Gil (Now is Responsible Computing Club Lead Ambassador Mozilla at SJSU)

MS. Committee Member (Department of Computer Science): 

1. Barry Ng, “Identifying Red Sponges on ARMS Plates by Preprocessing Images using Histogram Equalization”, May 2025

2. Vrushali Deshpande, “Detecting Crustose Coralline Algae (CCA) in Marine Photos using Mask R-CNN”, Dec 2024

3. Anjana Priyatham Tatavarthi, “The following are the location and schedule information for Anjana's oral defense.”, Dec 2024

4. Abhinay Jatoth, “Multimodal Emotion Detection in Conversations and Dialogues: A Fusion Model Approach”, Dec 2024

5. Sangram Prashant Chincholkar, “LexiGen: Lexical-Driven Image Generation”, Dec 2024

6. Saieswar Reddy Vaka, “Fake Malware Generation using GANs as API Calls”, May 2024

7. Snegdha Adusumilli, “A Two-Stage Machine Learning Approach For Fake News Detection And News Article Categorization”, May 2024

8. Srujith Rao Ambati, Deciphering Speech through Vision: A Deep Learning Lip Reading System, May 2024

9. Fei Pan, “Ranking-based Hashtag Recommendation with Collaborative and Content-based Filtering”, May 2024

10. Jacob Ortiz-Rodriguez, “Adaptive bounded-confidence model for opinion maximization”, May 2024

11. Nithish Reddy Agumamidi, “Gesture Recognition Dynamics: Unveiling Video Patterns with Deep Learning”, May 2024

12. Tien Nguyen, “Deception Detection Models from Speech”, May 2024

13. James Lee, “Analyzing Improvement of Mask R-CNN on Arms Plates (And Sponges and Coral)”, May 2023

14. Vaishnavi Nagireddy, “Application of Adversarial Attacks on Malware Detection Models”, May 2023

15. Prajna Puranik, “Enhancing the Security of Yioop Discussion Board”, May 2023

16. Sumedh Kale, “Job Tailored Resume Content Generation”, May 2023

17. Venkat Golamaru, “Image Captioning Using Reinforcement Learning”, May 2023

18. Abhishek Punreddy , “Federated Learning For Protecting Medical Data Privacy”, May 2023

19. Rishabh Pandey, “Nft Artifact Prediction Using Machine Learning”, May 2023

20. Amala Chirayil, “Privacy Preserving for Multiple Computer Vision Tasks”, Dec 2021

21. Paaras Chand, “Twin Anomaly Detection System”, Dec 2021

22. Harshit Trehan, “Fake malware opcodes generation using HMM and different GAN algorithms”, May 17th, 2021

23. Aditi Walia, “Unsupervised Data Augmentation with Malware as Images”, May 17th, 2021

24. Akhil Gour, “Using Machine Learning to Optimize Predictive Models Used for Big Data Analytics in Various Sports Events”, May 19th, 2020

25. Sandeep Madnaik, “Predicting Students Performance using Learning Analytics”, May 19th, 2020

26. Ishan shinde “Nitrogenase Iron Protein Detection using Neural Network”, May 3rd, 2019

27. Rashmeet Kaur Khanuja, “Optimizing E-Commerce Product Classification Using Transfer Learning”, May 6th, 2019

28. Mustafa Badshah, “Sensor - Based Human Activity Recognition Using Smartphones”, May 8th, 2019

29. Kunal Rajan Deshmukh “Image Compression Using Neural Networks”, May 9th, 2019

30. Sonali Mishra, “SQL Injection Detection Using Machine Learning”, May 20th, 2019