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After graduation from FHU in 2004, I attended Auburn University in Auburn, AL. I completed my Masters degree and Ph.D. in Computer Science in 2007 and 2008 respectively. My research focused on sensor networks and computational intelligence. Although my dissertation was in the field of sensor networks, I discovered a real passion for biologically inspired algorithms, specifically neuro-evolutionary algorithms. I have taught a variety of courses at FHU including Web Applications Programming, Computer Networks, Computer Architecture and Assembly Language, Artificial Intelligence, and the capstone course in computer science. I have overseen student development projects for iOS apps and web applications as part of courses. I also lead an undergraduate research group in Mobile and High Performance Computing. I have served as the chair of the department of Mathematics and Computer Science since 2010.

I began teaching at FHU in the summer of 2008. As FHU graduates of the class of 2004, my wife and I were excited to return to our alma mater. We hope to make some contribution to FHU in light of all the blessings we have received through her. We believe in the power of Christ and in the power of education.

Curriculum Vita

Education

Ph.D. in Computer Science

2008, Auburn University, Auburn, AL
Coursework: Sensor Networks, Computational Intelligence, Parallel Computing, Data Mining

M.S. in Computer Science

2007, Auburn University, Auburn, AL
Coursework: Computer Networks, Distributed Systems, Artificial Intelligence

B.S. in Computer Science and Mathematics

2004, Freed-Hardeman University, Henderson, TN

Teaching Experience

Department Chair

2010 - present, Freed-Hardeman University, Henderson, TN 
Department of Mathematics and Computer Science 

Assistant Professor

2008 - present, Freed-Hardeman University, Henderson, TN
Courses Taught: Database, Visual Basic, C#, iOS, Networks, Web Design, Architecture, Assembly Language, AI, Programming Languages

Teaching Assistant

2007 - 2008, Auburn University, Auburn, AL
Courses Taught: Programming Languages

Teaching Assistant

2005 - 2006, Auburn University, Auburn, AL
Courses Taught: Computer Applications

Other Experience

Sensor Network Research Assistant

2006 - 2007, Auburn University, Auburn, AL
Developed a sensor network-based vehicle tracking system.

Computational Intelligence Research Assistant

2006 - 2007, Auburn University, Auburn, AL
Researched evolutionary computation and machine learning; developed an evolutionary optimization toolkit for supercomputers.

Publications

Journals

Qing Yang, Alvin Lim, Kenan Casey, Raghu Neelisetti. An Enhanced CPA Algorithm for Real-Time Target Tracking in Wireless Sensor Networks. International Journal of Distributed Sensor Networks, Accepted.

Qing Yang, Alvin Lim, Kenan Casey and Raghu-Kisore Neelisetti. An Empirical Study on Real-Time Target Tracking with Enhanced CPA Algorithm in Wireless Sensor Networks. Ad Hoc & Sensor Wireless Networks, Accepted.

Kenan Casey, Aaron Garrett, Joseph Gay, Lacey Montgomery, and Gerry Dozier. An Evolutionary Approach for Achieving Scalability with General Regression Neural Networks. Natural Computing, 2007.

Kenan Casey, Alvin Lim, and Gerry Dozier. Data-centric Network Services for Tsunami Detection and Response. International Journal of Distributed Sensor Networks, 2007.

Conferences

Yong-won Park, Kenan Casey, and Sanjeev Baskiyar. A Novel Adaptive Support Vector Machine-Based Task Scheduling. The Ninth IASTED International Conference on
Parallel and Distributed Computing and Networks (PDCN), 2010.

Qing Yang, Alvin Lim, Kenan Casey, and Raghu Neelisetti. An Empirical Study of Real-Time Target Tracking with CPA Algorithm in Wireless Sensor Networks. In IEEE Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2008.

Kenan Casey, Raghu Neelisetti, and Alvin Lim. RTDD: A Real-Time Communication Protocol for Directed Diffusion. In IEEE Wireless Communications & Networking Conference (WCNC), 2008.

Kenan Casey, Alvin Lim, and Gerry Dozier. A Sensor Network Architecture for Tsunami Detection and Response. In Innovations and Real-time Applications of Distributed Sensor Networks Symposium, 2006.

Kenan Casey, Alvin Lim, and Gerry Dozier. Evolving General Regression Neural Networks for Tsunami Detection and Response. In IEEE Congress on Evolutionary Computation (CEC), 2006.

Schedule

Resources