معرفی
Mitchell L. Neilsen is a Professor in the Department of Computer Science at Kansas State University's College of Engineering, where he also serves as the graduate program director. He holds the Warren and Gisela Kennedy - Carl and Mary Ice Keystone Research Scholar position and maintains an active research program with multiple ongoing projects.
His educational background includes a Ph.D. in Computer Science (1992), M.S. in Computer Science (1989), and M.S. in Mathematics (1987), all from Kansas State University, plus a B.S. in Mathematics Education from the University of Nebraska-Kearney (1982). After beginning his career as an assistant professor at Oklahoma State University, he returned to K-State in 1996.
Research Interests:
- Cyber-Physical Systems: Design, Analysis, Verification of systems integrating computing, networking, and physical processes
- Distributed Systems: Algorithms, design, and analysis of distributed computing systems
- Scientific Computing: Computational Fluid Dynamics, Finite Element Analysis, High Performance Computing, and Simulation
- Application Areas: Agriculture technology, Dam safety analysis, Mobile applications, Natural resources management, and Real-time Embedded Systems
His research program shows clear evolution toward agricultural technology applications, particularly high-throughput phenotyping, while maintaining strong foundations in cyber-physical systems and scientific computing. Recent publications indicate increasing integration of machine learning and computer vision techniques into traditional research areas.
Research Funding:
- National Science Foundation
- U.S. Department of Agriculture
- Sandia National Laboratories
- Department of Homeland Security
- Private industry partners
Dr. Neilsen has mentored numerous graduate students through their M.S. and Ph.D. programs, with recent advisees focusing on applications in agricultural technology, dam safety, and embedded systems. His advising approach emphasizes practical applications of theoretical computer science concepts.
Current Teaching (Fall 2024):
- CIS 450 - Computer Architecture and Operations
- CIS 625 - Concurrent Software Systems
- CIS 720 - Advanced Operating Systems
