معرفی
Abhishek Roy is an Assistant Professor in the Department of Statistics at Texas A&M University, affiliated with the College of Arts & Sciences. His role involves teaching and research in statistical methodologies and their applications in machine learning and optimization.
Research interests focus on stochastic optimization, adversarial machine learning, algorithmic fairness, Bayesian inference, nonconvex optimization, and game theory. He explores robust statistical algorithms under complex data conditions (e.g., heavy-tailed distributions, Markovian dependencies) and develops defenses against adversarial attacks in clustering and predictive models. His work intersects computational statistics with modern AI challenges, emphasizing theoretical foundations and practical implementations.
Recent publications (2023–2025) emphasize online covariance estimation, nonstationary optimization, and quantifying fairness in machine learning models. Earlier works (2018–2022) address adversarial attacks, moving target defenses, and game-theoretic security frameworks. No scientific awards are explicitly mentioned. Details on grants or advising roles are not provided in the available texts. He is based in Blocker 415E with contact information listed on the Texas A&M Statistics Department website.
