Dr. Asai Asaithambi joined Florida Polytechnic University in August 2024 as professor
and chair of the Computer Science Department. Prior to joining Florida Poly, he held
several positions at the University of North Florida’s School of Computing, including
professor and interim director from 2023-2024, professor and graduate director 2018-2024,
professor from 2015-2018, and professor and director from 2011-2015. Asaithambi has
also served as professor and chair of the Department of Computer Science at the University
of South Dakota from 2004-2011, associate professor and chair of the Department of
Computer Science at Saint Louis University from 1997-2004, and associate professor
and chair of mathematics and computer science at Lincoln University from 1992-1997.
He also served as associate professor of mathematics and statistics at Mississippi
State University from 1990-1992.
Asaithambi said he loves to teach computationally intensive courses to diverse groups
of traditional and non-traditional students with varying degrees of background preparation
in mathematics and computing. He enjoys teaching and takes pride in his students’
progress and success in applying critical thinking in all his courses.
National Science Foundation Award #0739320: “Getting American Indians to Information
Technology (GAIn-IT),” Broadening Participation in Computing (BPC) Grant, University
of South Dakota, 2008-2011. Funding Received: $511,336.
National Science Foundation Award #0909520: Supplement to “Getting American Indians
to Information Technology (GAIn-IT),” Broadening Participation in Computing (BPC)
Grant, University of South Dakota and Sinte Gleska University, 2009-2011. Funding
Received: $84,995.
USD-INBRE Pilot Research Program, University of South Dakota Sanford Medical School
BRIN Development Grant: “A Computational Intelligence Approach to Gene Structure Prediction,”
2006-2009. Funding Received: $25,000.
Ph.D. in Computer Science, University Of Wisconsin-Madison, 1985
M.S. in Computer Science, Indian Institute Of Technology-Madras, 1980
B.Tech. in Electrical Engineering, Indian Institute Of Technology-Madras, 1977
Scientific Computing
Pattern Recognition
Machine Learning
Executive Committee Member At Large, ABET-Computing Accreditation Commission, 2023-current
Mentor, ABET Program Evaluator Candidates (PEVCs), 2018-current
Senior Member, IEEE, 2017, 2022-current
Member, Association for Computing Machinery, 2009-current
Category Editor, ACM Reviews, 2013–current
D. Chitradevi, S. Prabha, and A. Asaithambi. Analysis of Brain Subregions by Segmentation
of MRIs Using Improved BAT Optimization”. In: Current and Future Trends in Health
and Medical Informatics. Springer, 2023, pp. 3–18.
A. Asaithambi and V Thamilarasi. Classification of Lung Chest X-Ray Images Using Deep
Learning with Efficient Optimizers. In: 2023 IEEE 13th Annual Computing and Communication
Workshop and Conference (CCWC). IEEE. 2023, pp. 0465–0469.
A. Asaithambi, On Solving the Troesch Problem for Large Sensitivity Parameter Values
Using Exact Derivative Evaluations. International Journal of Applied and Computational
Mathematics, 8:202, 2022.
A. Asaithambi, C. Rao, and S. Roy. Implementing Algorithms for Sorting by Strip Swaps.
Workshop on High Performance Computing, Big Data Analytics and Integration for Multi-Omics
Biomedical Data (HPC-BOD). In Proceedings of the 12th ACM Conference on Bioinformatics,
Computational Biology, and Health Informatics (ACM BCB), 2021.
A. Asaithambi, On Solving the Nonlinear Falkner–Skan Boundary-Value Problem: A Review.
Fluids,6(4): 153, 2021.
P. Burkul, K. Umapathy, A. Asaithambi, and H. Huang. Data Mining Pipeline for Performing
Decision Tree Analysis On Mortality Dataset With ICD-10 Codes. Winner of the Best
Paper in the Information Systems Track award. In Proceedings of the Southern Association
for Information Systems Conference, pages 1–7, 2020.
A. Dutta, E. Czarnecki, V. Ufimtsev, and A. Asaithambi. “Correlation Clustering-Based
Multi-Robot TaskAllocation: A Tale of Two Graphs”. In: ACM SIGAPP Applied Computing
Review 19.4 (2020), pp. 5–16.
A. Asaithambi. “Solution of Third Grade Thin Film Flow Using Algorithmic Differentiation”.
In: International Journal of Applied and Computational Mathematics 6 (2020), p. 74.
A. Asaithambi, A. Dutta, C. Rao, and S. Roy. “Online Context-Adaptive Energy-Aware
Security Allocation in Mobile Devices: A Tale of Two Algorithms”. In: International
Conference on Distributed Computing and Internet Technology. Springer. 2020, pp. 281–295.
A. Asaithambi, S. Roy, and S. Turlapaty. More Results on Experimental Evaluations
of Some Algorithms for Block Sorting. In Proceedings of the 20th IEEE International
Virtual Conference on Bio-Informatics and Bio-Engineering (BIBE), 2020.
*External, third-party sites not maintained by Florida Polytechnic University
