Resume
Academic Achievements
- 1. Paper 'Chain-of-Thought Driven Adversarial Scenario Extrapolation for Robust Language Models' accepted at AAAI 2026.
- 2. Paper 'From Insight to Exploit: Leveraging LLM Collaboration for Adaptive Adversarial Text Generation' published in EMNLP 2025 and accepted at ICSE 2026.
- 3. Paper 'Attention Pruning: Automated Fairness Repair of Language Models via Surrogate Simulated Annealing' accepted at ICSE 2026.
- 4. Reached 200 citations for his research works on Google Scholar.
- 5. Invited as a Program Committee (PC) member at AAAI 2026 and ACM AIES 2025.
Research Experience
- Worked as a research intern at Mitsubishi Electric Research Laboratory (MERL) for two consecutive summers. His research areas include Secure and Trustworthy AI, Natural Language Processing, Federated Learning, and Applied Machine Learning.
Education
- Pursuing a Ph.D. in Computer Science and Engineering at Penn State University, USA.
Background
- Currently, a 4th-year Ph.D. student in CSE at Penn State University, USA. His current research interests include Secure and Trustworthy AI, LLM Safety, and Federated Learning. He is also a regular practitioner of social communication, public speaking & public influencing-based activities.
Miscellany
- Passionate about sharing knowledge and views with people through effective interaction and active communication.