January, 2022
I joined NVIDIA as an engineer working on the TensorRT Deep Learning inference
optimizer
Santa Clara,
California
California
Samurdhi Karunaratne
(Samu)
Senior Software Engineer at NVIDIA. ECE grad from UCLA and CE grad from University of Peradeniya. Former competitive programmer and physics olympian.
Welcome to my web page! I had fun designing it.
You can find out about my education, awards and also about my travel, poetry, sports interests and a little bit of everything else strewn across this page. Enjoy!
Take a look at my CV for a summary
News
December, 2021
I received my MS in ECE from UCLA
August, 2021
Our paper Open
Set RF Fingerprinting using Generative Outlier Augmentation got accepted for
publication at IEEE Global
Communications Conference (IEEE GLOBECOM) 2021
January, 2021
Our paper Penetrating RF
Fingerprinting-based Authentication with a Generative Adversarial Attack got
accepted for publication at IEEE
International Conference on Communications (IEEE ICC) 2021
November, 2020
Our paper Open Set
Wireless Transmitter Authorization: Deep Learning Approaches and Dataset
Considerations got accepted for publication in IEEE
Transactions on Cognitive Communications and Networking
May, 2020
Our paper Deep
Learning Approaches for Open Set Wireless Transmitter Authorization got accepted at
IEEE SPAWC 2020
October, 2019
September, 2019
I moved to Los Angeles, CA and started grad school at UCLA, working under Prof. Danijelca
Cabric at the CORES Lab.
April, 2019
Our paper An
Overview of Machine Learning Approaches in Wireless Mesh Networks got published in
the IEEE Communications
Magazine
February, 2019
I graduated with a B.Sc. (First Class Honors) from the Dept. of Computer Engineering,
University of Peradeniya, top of my class
December, 2018
I presented our paper Artificial Intelligence Driven
Optimization of Channel and Location in Wireless Networks at IEEE Globecom 2018: Workshop on Machine
Learning for Communications, in Abu Dhabi, UAE.
Publications
Journals
Wisig: A large-scale wifi signal dataset for receiver and channel agnostic
rf fingerprinting
IEEE
Access
Hanna S., Karunaratne S., and Cabric, D.
Open Set Wireless Transmitter Authorization: Deep Learning Approaches and
Dataset Considerations
IEEE
Transactions on Cognitive Comm. & Networking
Hanna S., Karunaratne S., and Cabric, D.
An Overview of Machine Learning Applications in Wireless Mesh Networks
IEEE
Communications Magazine, April 2019
Karunaratne S. and Gacanin H.
Self-optimization of Wireless Systems with Knowledge Management: An
Artificial Intelligence Approach
IEEE Transactions on Vehicular
Technology, 2019
Gacanin,H., Perenda,E., Karunaratne,S. and
Atawia,R.
Conferences
Real-time wireless transmitter authorization: adapting to dynamic authorized sets with information retrieval
IEEE DySPAN 2021
Karunaratne S., Hanna S., and Cabric, D.
Penetrating RF fingerprinting-based authentication with a generative adversarial attack
IEEE International Conference on Communications 2021
Karunaratne S., Krijestorac E., and Cabric, D.
Open Set RF Fingerprinting using Generative Outlier Augmentation
IEEE Glebecom 2021
Karunaratne S., Hanna S., and Cabric, D.
Penetrating RF Fingerprinting-based Authentication with a Generative
Adversarial Attack
IEEE ICC
2021
Karunaratne S., Krijestorac E., and Cabric, D.
Artificial Intelligence Driven Optimization of Channel and Location in
Wireless Networks
IEEE
Globecom 2018: MLCOMM, December 2018
Karunaratne S., Perenda E., Atawia R. and Gacanin H.
Deep Learning Approaches for Open Set Wireless Transmitter Authorization
IEEE SPAWC
2020, May 2020
Hanna S., Karunaratne S., and Cabric, D.
Presentations
Artificial Intelligence Driven Optimization of Channel and Location in
Wireless Networks
I did my first paper presentation at Globecom 2018. Check out the slides below (please view
in Powerpoint).
December 2018
Abu Dhabi, UAE
Abu Dhabi, UAE
Personal Projects
Research
My research interest is in the intersection of artificial intelligence, wireless networks and optimization algorithms.
Most of my work was done at an internship at Bell Labs, Antwerp under my supervisor Prof. Haris Gacanin (now at RWTH Aachen). Currently, I'm doing my research at the CORES lab at UCLA under Prof. Danijela Cabric.
Patents
Optimizing a Wireless Network that Comprises Range Extenders
EPO App.
Number: EP20181741372
Karunaratne S. and Gacanin H.
Optimizing a Wi-Fi Network Comprising Multiple Range Extenders and
Associated Devices
EPO App.
Number: EP20181834755
Karunaratne S. and Gacanin H.
Scholar Poetry LinkedIn
Entrepreneurship
I co-founded Fugex Technologies (Pvt) Ltd. during my final year of college to support my ventures, Jayamagul.lk and Eventscope.
Physics olympiad
After getting a gold medal at the Sri Lankan Physics Olympiad competition in 2013, I got the opportunity to represent Sri Lanka at the 15th Asian Physics Olympiad (APhO) in 2014.
There, I secured a silver medal, a first for my country in that competition's history. Then I went on to win another silver medal at the 45th International Physics Olympiad (IPhO), missing the gold by just 0.9 points. After that, I volunteered for a short time as an instructor at the Sri Lankan Physics Olympiad training program. Read more of my and Sri Lanka's story below.
Education
University of California, Los Angeles (2019-2021)
M.S in Electrical and Computer Engineering
M.S in Electrical and Computer Engineering
Cognitive Reconfigurable Embedded Systems Lab (CORES)
Current MS Program GPA: 3.93/4.00
Current MS Program GPA: 3.93/4.00
University of Peradeniya, Sri Lanka (2015-2019)
B.Sc. Computer Engineering
B.Sc. Computer Engineering
First Class Honors
GPA: 4.00/4.00
GPA: 4.00/4.00
Work
Bell Labs, Antwerp (2017 Nov-2018 Apr)
Research Intern
Research Intern
Supervisor: Haris Gacanin
Competitive programming
I formed Team biteCode in 2015, and for close to two years, engaged in the arena of competitive programming as a pastime.
Our team won the ACES Coders v6.0 competition and the IEEEXtreme 10.0 (Sri Lanka section), very much becoming the best team in Sri Lanka, unbeaten to this date.
Although I have been retired for some time now, the team has continued it's dominance without me. You can follow our expoits below.
Open source
I have contributed to the Eclipse IDE and pdf.js by Mozilla.
I've also published a few of my own software and web projects including a Fractal Generator and a Cricket Scoreboard on Github.
