Biography
Dr. Suranga Hettiarachchi is an associate professor of computer science at Indiana University Southeast. He teaches courses in computer programming, software systems, and robotics. He has been an educator in computer science for the last 20 years. His research interests include swarm robotics, multi-agent Systems, Physicomimetics, distributed robotics architectures, evolutionary adaptive learning, search algorithms, swarm intelligence, deep learning, and data science. He has authored, published, presented, reviewed, and edited numerous articles in his research area. He has won awards for his scholarly work. He is the founder of the distributed robotics laboratory at Indiana University Southeast.
Academic Background
-
Doctorate
- University of Wyoming, Laramie, Wyoming, USA
- Doctor of Philosophy, Major in Computer Science
-
Bachelors
- University of Wyoming, Laramie, Wyoming, USA.
- Bachelor of Science, Major in Management Information Systems
Professional Interests
Teaching
Programming Languages and Techniques, Data Structures, Analysis of Algorithms, Robotics, Artificial Intelligence, and Data Science.
Research
My research interests are Swarm Robotics, Multi-Agent Systems, Physicomimetics, Distributed Robotics, Robotic Applications, Evolutionary Learning, Search Algorithms, Adaptive Learning, Swarm Intelligence, and Data Science.
PAPERS IN PREPARATION
Hettiarachchi, S. (2024). Distributed algorithms for high-volume textual data cleansing.
Hettiarachchi, S. (2024b). Deep evolutionary learning for adaptive swarm optimization.
Hettiarachchi, S. (2024c). Unsupervised swarm learning with sensor failure.
REFEREED JOURNAL, CONFERENCE AND WORKSHOP PUBLICATIONS
Asim, S. and S. Hettiarachchi (2023, March). Understanding elementary teacher's experiences and challenges in implementing computer science education. Panama City, Panama. The Sixteenth Consultation of the International Consortium for Research in Science and Mathematics Education.
Asim, S. and S. Hettiarachchi (2023b, March). Insights from a computer science k-6 professional development: What our elementary teachers need. New Orleans, Louisiana. Society for Information Technology and Teacher Education.
Hettiarachchi, S. and S. Asim (2023, March). Robots to the rescue: Teacher experiences and challenges in CS workshop. In The Kentucky Society for Technology in Education (KYSTE 2023) Conference, Louisville, KY.
BOOK CHAPTERS
Asim, S. and S. Hettiarachchi (2023). Understanding Elementary Teacher Needs and Opportunities in Implementing Computer Science Education in Our Schools, Volume XVI. Consultation of the International Consortium for Research in Science and Mathematics Education.
Hettiarachchi, S., P. Maxim, and W. Spears (2008). An architecture for adaptive swarms. In X. P. Guˆo (Ed.), Robotics Research Trends. Nova Publishers.
Teaching Resource Websites
Publications
Journal Articles
- M. Li, C. Qiu, J. Park, D. Chan, J. Jeon, J. Na, C. Wong, B. Zhao, E. Chang, S. Kazadi, S. Hettiarachchi. (2017). Generating swarm solution classes using the Hamiltonian Method of swarm design. 9th International Conference on Agents and Artificial Intelligence, 1 (1), 145-152.
- Kleczynski, S., M. Rayner, and S. Hettiarachchi. (2014). Autonomous search and retrieval. The Journal of Computing Science in Colleges, 29 (5), 164-170.
- Riddle, J., R. Hughes, N. Biefeld, and S. Hettiarachchi. (2012). A user friendly software framework for mobile robot control. The 23rd Midwest Artificial Intelligence and Cognitive Science Conference, 0074-841 (4), 44-49.
- S. Hettiarachchi.. (2012). Physicomimetics for mobile robot obstacle avoidance.. he 13th International Conference on Software Engineering, Artificial Intelligence, Network- ing and Parallel/Distributed Computing, 978-1-4673-2120-4 (5), 444-450.
- Hettiarachchi S., Spears W.. (2009). Distributed Adaptive Swarm for Obstacle Avoidance.. International Journal of Intelligent Computing and Cybernetics - Special Issue in Swarm Robotics, 2 (4), 644-671.
Books
- S. Hettiarachchi. Editors: Spears, William M., Spears, Diana F.. (2011). In Physics-based Swarm Intelligence: From Theory to Practice.. Berlin Heidelberg: Springer.
