Research Mentoring

Mentored graduate students on experimental design, reproducible ML practice, and scientific writing in secure AI for cyber-physical systems.

Mentees include Trey Ward and Shubham Deshmukh (M.S. students, Virginia Tech), co-mentored on Unified Detection and Attribution of Synthetic and Adversarial Images in Agricultural Cyber-Physical Systems — a multi-generator evaluation framework spanning GANs (StyleGAN2, StyleGAN3, R3GAN) and diffusion models (InstructPix2Pix, BLIP-Diffusion, Dreamshaper-8) across apple, maize, and tomato, using EfficientNet-B0, ResNet-50, and CLIP backbones for health-state classification, source detection, and generator attribution.