Supreme Lab

university

https://www.cs.utep.edu/stalukder/supremelab/index.html

AI & ML interests

Our interests in Artificial Intelligence (AI) and Machine Learning (ML) are driven by the vision of building intelligent systems that are both impactful and responsible. We are particularly motivated by research that bridges theory, practice, and societal needs, allowing AI to contribute meaningfully across multiple domains. Generative AI & Language Models: We are fascinated by large language models (LLMs) and their ability to process and generate human-like text. Our work focuses on prompt safety, jailbreak prevention, and robust evaluation frameworks, ensuring that generative AI systems remain useful while resisting adversarial misuse. Cybersecurity & Privacy: We explore how ML can strengthen digital security by developing adversarially robust classifiers, secure aggregation methods, and privacy-preserving federated learning. Our interest lies in protecting sensitive information while enabling scalable AI collaboration. Healthcare & Human-Centered AI: We are excited about applying AI to biomedical signals, diagnostics, and patient monitoring, aiming to improve decision-making in healthcare. By combining multimodal data with intelligent learning systems, we seek to enhance safety, personalization, and accessibility in healthcare delivery. Responsible & Explainable AI: We believe that the future of AI must balance innovation with accountability. Our interests extend to explainability, fairness, and alignment with ethical principles, ensuring that AI systems are not only high-performing but also trustworthy and transparent.