Mentoring
In my mentoring role, I am currently collaborating with these amazing students:
- Nilesh Prasad Pandey (PhD): Efficient Hybrid State Space Models
- Ye Tian (PhD): Multimodal Large Language Models and Physical World Comprehension; Publication: SenSys’25
- Le Zhang (MS): Energy Efficient Edge Ensemble and Edge Cloud Collaboration; Publications: SenSys’25, ASPDAC’25
- Sean Fuhrman (MS): Continual Novelty Detection for Network Intrusion Detection; Publication: DAC’25
- Ipek Kocal (MS): Resilient Time-series Classification Against Adversarial Attacks; Publication: AI4TS’25
- Abhilash Shankarampeta (MS): Adversarial Robustness of Multimodal Large Language Models
- Jing Chen (BS): Dynamic Defense for ML-based IDS Against Adversarial Attacks; Publication: CSR’24
- Elvin Li, Charlie Shang (BS): Self-supervised Learning for Robust Intrusion Detection; Publication: AICS’25
- Harry Wang, Roshan Sood (BS): Adversarial Cybersecurity Question Answering via LLMs
- Matilda Gaddi (BS): Edge-Cloud Framework for Cybersecurity Question-Answering Using LLMs
- Ishaan Kale, Jiasheng Zhou (BS): Anomaly-based Host Intrusion Detection
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
- Mitchell Timken (MS): Machine Learning for Cyber Attack Detection in SCADA Power Systems; Publication: SmartNets’23
- Mohammed Ibrar (MS): Hyperdimensional Computing for RSSI-based BLE Localization
- Sai Singapati, Kavan Mehta (MS): Ensemble Learning for Electricity Consumption Prediction
- Johnathan Davis, Yutong Guo (BS): ML-based IDS Against Adversarial Attacks
- Ata Altyyev (BS): Resilient Hyperdimensional Computing Against Adversarial Attacks
- Jake Garnier (BS): Lightweight Ensemble Learner for Medium-term Electricity Consumption Prediction; Publication: SmartGridComm’20
I also served as a graduate mentor in the ENLACE Summer Research Program at UCSD:
- Denisse Gabriela López, Mauricio Monroy, Marian Alondra Chavira, María Pimentel Villegas: Ensemble Learning for Remaining Useful Life Estimation