Dr. Piplai joins UTEP from the University of Maryland, Baltimore County (UMBC), where he taught introduction to AI courses and served as a graduate research assistant creating novel knowledge graph-guided reinforcement learning algorithms for autonomous cyber defense projects. His research background focuses on automated cyber defenses, cybersecurity knowledge graphs, cyber threat intelligence, reinforcement learning, and adversarial learning. Dr. Piplai earned a doctoral degree in computer science from UMBC and a bachelor’s in computer science and engineering from Jadavpur University in India. While at UMBC, Dr. Piplai served on program committees for the International Conference on Machine Learning and the International Conference on Big Data. He was the session chair for the IEEE International Conference on Machine Learning Applications in 2022. He also has industry experience at Amazon Science and Samsung Research. At UTEP his research area is finding evolving cyber-threats and malware. Some of the methods that he uses are leveraging LLMs, natural language processing, and knowledge graphs to provide textual descriptors of cyber-attacks. He also looks at simulating cyber-attacks and defense strategies with Reinforcement Learning, as well as classifying and identifying malware samples from unknown families.
Dr. Piplai joins UTEP from the University of Maryland, Baltimore County (UMBC), where he taught introduction to AI courses and served as a graduate research assistant creating novel knowledge graph-guided reinforcement learning algorithms for autonomous cyber defense projects. His research background focuses on automated cyber defenses, cybersecurity knowledge graphs, cyber threat intelligence, reinforcement learning, and adversarial learning. Dr. Piplai earned a doctoral degree in computer science from UMBC and a bachelor’s in computer science and engineering from Jadavpur University in India. While at UMBC, Dr. Piplai served on program committees for the International Conference on Machine Learning and the International Conference on Big Data. He was the session chair for the IEEE International Conference on Machine Learning Applications in 2022. He also has industry experience at Amazon Science and Samsung Research. At UTEP his research area is finding evolving cyber-threats and malware. Some of the methods that he uses are leveraging LLMs, natural language processing, and knowledge graphs to provide textual descriptors of cyber-attacks. He also looks at simulating cyber-attacks and defense strategies with Reinforcement Learning, as well as classifying and identifying malware samples from unknown families.
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