Fernando, Dr. B. Rasitha

Dr. Rasitha Fernando is passionate about education and research in diverse fields of Electrical and Computer Engineering. He possesses strong expertise in Embedded Systems, Circuit Analysis, VLSI Systems, Power Electronics, and Signal Processing. Additionally, he specializes in Machine Learning, Deep Learning, and High-Performance Computing, actively contributing to research and development in these areas.

Dr. Fernando has served as a judge for the IEEE and NCSEF Science Fair Awards on multiple occasions, helping shape the next generation of scientists and engineers by providing critical feedback. He continues to expand his knowledge and skills by participating in and presenting at numerous conferences.

Dr. Fernando has experience implementing Machine Learning and Deep Learning algorithms on hardware devices using MATLAB, Python, C/C++, and other tools. In his spare time, he enjoys assembling and repairing electrical components and household appliances.

Patent

Publication number: 20230028592 A1
Title: Analog neuromorphic circuit with stacks of resistive memory crossbar configurations
Publication Date: Jan 26, 2023
Filed: Jul 25, 2022
Inventors: B. Rasitha Fernando, Tarek M. Taha, Chris Yakopcic
Application Number: 17/872,626
Available at: https://patents.google.com/patent/US20230028592A1/en

Publications

Fernando, B. Rasitha, Yangjie Qi, Chris Yakopcic, and Tarek M. Taha. "3D Memristor Crossbar Architecture for a Multicore Neuromorphic System." In 2020 International Joint Conference on Neural Networks (IJCNN), pp. 1-8. IEEE, 2020.

Alam, Md Shahanur, B. Rasitha Fernando, Yassine Jaoudi, Chris Yakopcic, Raqibul Hasan, Tarek M. Taha, and Guru Subramanyam. "Memristor Based Autoencoder for Unsupervised Real-Time Network Intrusion and Anomaly Detection." In Proceedings of the International Conference on Neuromorphic Systems, pp. 1-8. 2019.

C. Yakopcic, B. R. Fernando and T. M. Taha, "Design Space Evaluation of a Memristor Crossbar Based Multilayer Perceptron for Image Processing," 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 2019, pp. 1-8.

B. R. Fernando, R. Hasan and M. Tarek Taha, "Low Power Memristor Crossbar Based Winner Takes All Circuit," 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, 2018, pp. 1-6.

Y. Qi, R. Hasan, R. Fernando and T. Taha, "Socrates-D: Multicore Architecture for On-Line Learning," 2017 IEEE International Conference on Rebooting Computing (ICRC), Washington, DC, 2017, pp. 1-8.

Presentations

Fernando, B. Rasitha. "Emerging trends in AI and ML." In September 2021, GUJCOST sponsored two days of international e-Symposia on “Multidisciplinary Research Aspects in Artificial Intelligence & Machine Learning” (MRAAIML). https://spu.ac.in/multidisciplinary-research-aspects-in-artificial-intelligence-machine-learning/

Fernando, B. Rasitha, and Tarek M. Taha. "On-Chip Memristor Back-Propagation with detailed Op-Amp Circuit." In April 2019 Brother Joseph W. Stander Symposium, Pg245. https://drive.google.com/file/d/1mkMhjK2Wo9prX-tW42RF88VLjBpZJe2W/view

Fernando, B. Rasitha, and Tarek M. Taha. "On-chip memristor training with detailed op-amp circuit."In April 2018 Brother Joseph W. Stander Symposium, Pg136. https://udayton.edu/provost/_resources/standersymposium/docs/2018-Stander-Abstract.pdf

Fernando, B. Rasitha, and Tarek M. Taha. "Memristor-based Neural Learning for Adaptive Control Systems." In April 2017 Brother Joseph W. Stander Symposium, Pg124. https://drive.google.com/file/d/0B9bBCobYFmR2LXZlSnROWVl6MEU/view

Memberships

IEEE Professional Membership
ACM Professional Membership
AAAS Gold Membership

Certifications

Project Management, Skill Success
Autonomous Electric Vehicles Certification, IEEE 
Responsible Conduct of Research, University of Dayton