Dr. Sajeewa Pemasinghe holds a PhD in Computational Modeling and Simulations from Wayne State University, USA, an MSc in IT (awarded for best performance) from the Sri Lanka Institute of Information Technology (SLIIT), and a BSc Hons degree from the University of Kelaniya. With over ten years of experience teaching at the undergraduate and diploma levels, Dr. Pemasinghe has delivered lectures on applications of IT, Bioinformatics and Computational Chemistry in Sri Lanka, the United States, and Australia. His expertise spans Artificial Intelligence, Robotics, IoT, and Bioinformatics, with a focus on integrating machine learning and robotics to develop efficient, low-cost solutions that improve quality of life.
Dr. Pemasinghe’s research centres on creating smart technologies to address challenges in agriculture, food technology, environmental conservation, and healthcare services. He is skilled in complex modelling techniques, from discrete events to molecular mechanical and quantum mechanical simulations and is committed to mentoring students in AI and robotics research. An IEEE member, Dr. Pemasinghe contributes actively to the academic community through publications and conference presentations.
Latest Publications:
- “Development of an Elephant Detection and Repellent System based on EfficientDet-Lite Models,” 2023 International Conference for Advancement in Technology (ICONAT)
- “An Online Dashboard Platform for Weather Data of Major Sri Lankan Cities, and Global Climate Trends,” 2022 IEEE Bombay Section Signature Conference (IBSSC)
- “Comparison of CPU Scheduling Algorithms: FCFS, SJF, SRTF, Round Robin, Priority Based, and Multilevel Queuing,” 2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC)
- “Simulated Annealing and It’s Application in Molecular Structure Optimizations,” 2021 10th International Conference on Information and Automation for Sustainability (ICIAfS)
