Stephen Strain

Dr. Stephen F. Strain is an Assistant Professor of Teaching in the Department of Biomedical Engineering at the University of Memphis. His research focuses on cognitive science, artificial general intelligence, computational modeling of medical diagnosis, and chess-related cognition. He holds a BA in Physics (Columbia University, 1987), MD (ETSU Quillen College of Medicine, 1999), and MS in Biomedical Engineering (University of Memphis, 2009). His doctoral studies under Dr. Stan Franklin explored applications of the LIDA cognitive model to medical diagnosis and chess cognition, though progress was paused following Dr. Franklin’s 2023 passing. Dr. Strain is the faculty sponsor of the UM Chess Club and has an Erdős number of 3 due to collaborative publications with Dr. Franklin.

Education:

• BA, Physics, Columbia College at Columbia University, 1987
• MD, ETSU Quillen College of Medicine, 1999
• MS, Biomedical Engineering, University of Memphis, 2009

Research Interests: Dr. Strain’s work bridges cognitive science and biomedical engineering, emphasizing computational models of medical diagnosis and chess cognition. He explores how brain rhythms influence cognition and advocates for integrating biological principles into cognitive science. His LIDA Model-based research aims to create intelligent systems for medical decision-making and cognitive tasks.

Recent Publications: His recent work includes syllabi for biomedical engineering courses (2021–2024) and advancements in the LIDA model (2011–2018), focusing on cognitive architecture and medical applications. His publications reflect a blend of pedagogical innovation and foundational cognitive science research.

Awards & Recognition: No formal awards listed, but his Erdős number of 3 highlights collaborative contributions to interdisciplinary research.

Grants & Advising: While no grants are explicitly noted, his doctoral work with LIDA and MAX demonstrates engagement in funded research. He advises the UM Chess Club, fostering academic-community integration.

Labs & Teams: Collaborates with the Cognitive Computing Research Group (CCRG) at the University of Memphis, leveraging their LIDA model infrastructure for interdisciplinary projects.