Mentoring

In my mentoring role, I am currently collaborating with these amazing students:

• Md Asif Tanvir (PhD): Language-Driven Secure Collaborative Autonomous Driving
• Nilesh Prasad Pandey (PhD): Efficient Foundation Models for Agentic Systems; Publications: ASP-DAC’27, ISLPED’26, GLSVLSI’25
• Ye Tian (PhD): Large Language Models and Physical World Comprehension; Publications: EMNLP’26, SenSys’25, MASS’25
• Bhavya Gupta (MS): Grounded AI for Collaborative Autonomous Driving; Publication: ICMLA’26
• Siddharth Sharma (MS): Lifelong Inference-Time Memory and Budget Optimization for LLM Agents; Publication: ICTAI’26
• Gamze Kirman Tokgoz (MS): Unified Adversarial Attack and Defense for Energy Forecasting; Publication: ISNCC’26
• Jing Chen (BS): Trustworthy VLAs for Safe and Secure Robotics; Publications: Computer Networks’26, ICCCN’26, SafeThings’25
• Woojin Lee (BS): Multimodal Foundation Models for Healthcare Intelligence; Publication: ISNCC’26
• Sahil Nayak (BS): Robust Collaborative Driving under Temporal Misalignment; Publication: Electronics’26
• Roshan Sood (BS): Continual Security Alignment for LLMs; Publications: ISNCC’26, ICMLA’25

In the past, I had the opportunity to work with these students:

• Fatemeh Asgarinejad (PhD): Hyperdimensional Computing’s Explainability for Adversarial Attacks; Publication: ICCAD’24
• Sean Fuhrman (MS): Continual Novelty Detection for Network Intrusion Detection; Publication: DAC’25
• Ipek Kocal (MS): Resilient Time-series Classification Against Adversarial Attacks; Publications: Electronics’26, CSR’25
• Le Zhang (MS): Energy Efficient Edge Ensemble and Edge Cloud Collaboration; Publications: SenSys’25, ASPDAC’25
• Mitchell Timken (MS): Machine Learning for Cyber Attack Detection in SCADA Power Systems; Publication: SmartNets’23
• Elvin Li, Charlie Shang (BS): Self-supervised Learning for Robust Intrusion Detection; Publications: Computer Networks’26, AICS’25
• Johnathan Davis, Yutong Guo (BS): ML-based IDS Against Adversarial Attacks Publication: CSR’24
• Ishaan Kale, Jiasheng Zhou (BS): Anomaly-based Host Intrusion Detection; Publication: ICMLA’25
• Jake Garnier (BS): Lightweight Ensemble Learner for Medium-term Electricity Consumption Prediction; Publication: SmartGridComm’20

I also served as an advisor in the Early Research Scholars Program (ERSP) and ENLACE Summer Research Program at UC San Diego:

• ERSP: Ivan Delgado, Himansi Gupta, Lameta Shamoon, Bishal Khatri, Niharika Sapre: Tool-Augmented Question Answering for Time Series
• ENLACE: Denisse Gabriela López, Mauricio Monroy, Marian Alondra Chavira, María Pimentel Villegas: Ensemble Learning for Remaining Useful Life Estimation