معرفی
Leonard Wesley is an Associate Professor in the Department of Computer Science at the College Of Science, San Jose State University. His research spans interdisciplinary domains at the intersection of Bioinformatics, Computational Biology, and Machine Learning, with specific applications in Pharmaceutical Drug Discovery, Genomic Data Analysis, and Autonomous Robotics.
- Education:
- Ph.D. in Computer Science, University of Massachusetts
- M.S. in Computer Science, University of Massachusetts
- B.A. in Physics and Math, Northeastern University
Research Interests include Approximate Reasoning (probabilistic, evidential, and fuzzy logic), Agent-Oriented Systems, and Sensor Fusion. His work applies these methodologies to Drug Portfolio Management, Protein Structure Scoring, and Medical Diagnostics.
Publication Trends show a consistent focus on Computational Biology, Robotics, and Uncertainty Quantification over four decades. Early work in Computer Vision evolved into modern applications in Pharmaceutical Analytics and AI in Aerospace.
Key Projects include SVM-based drug affinity prediction, evidence-driven decision support systems for biopharma, and real-time agent development frameworks like ROADS. He has contributed to CFD code control and Mobile Network Congestion solutions.
Collaborations with institutions like NASA, Los Alamos National Laboratory, and international conferences (WMSCI, ICINCO, AIAA) highlight his cross-disciplinary impact. His teaching includes Artificial Intelligence and Bioinformatics courses.
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