Shuvalaxmi (Shuva) Dass

Assistant Professor · she/her

Shuva is a CEH-certified interdisciplinary researcher working across cybersecurity, evolutionary algorithms, machine learning, and reinforcement learning — currently studying how evolutionary algorithms and reinforcement learning combine to secure misconfigured software applications from attack. She completed her BS in Computer Science (2015) and MS in Software Engineering (2017) at Gautam Buddha University, India, ranking 5th overall through her bachelor's degree. She earned her PhD in Computer Science (2021) at Texas Tech University on an AT&T Graduate Fellowship held for all four years, then joined the University of Nebraska at Kearney as Assistant Professor (2021–2023) before moving to the University of Louisiana at Lafayette in August 2023. She chairs the IEEE Computer Society's Lafayette chapter, is an active member of Women in Cybersecurity (WiCyS), and founded and advises UL Lafayette's Ethical Hacking Club.