Designation :
Senior Lecturer
M T U Sampath K Perera received the B.Sc. Eng. degree in Electronic and Telecommunication Engineering (first class honours) from the University of Moratuwa, Sri Lanka, in 2008 and the MESc degree in Electrical and Computer Engineering 2016 from University of Western Ontario, Canada. In 2022, he received the Ph.D. degree in Electrical Engineering and Information Technology from Ruhr-University Bochum, Germany. His research interests include radar signal processing, remote sensing, sparse signal processing, compressive sensing, machine learning, dictionary learning, and material characterization. After his graduation from the University of Moratuwa, he was employed at DMS Electronics (Pvt) Ltd and Mobitel (Pvt) Ltd from 2008 to 2010 and 2010 to 2014, respectively.
Education
Doctor of Philosophy
Ruhr-University Bochum, Germany, Faculty of Electrical Engineering and Information Technology, 2017–2022.
Master in Engineering Science
University of Western Ontario, Canada, Department of Electrical and Computer Engineering, 2014–2016.
Post Graduate Diploma in Telecommunication
University of Moratuwa, Sri Lanka, Department of Electronic and Telecommunication Engineering, 2011–2015.
Bachelor of Science in Engineering,
University of Moratuwa, Sri Lanka, Department of Electronic and Telecommunication Engineering, 2004–2008.
Research Interests
Radar Signal Processing, Remote Sensing, Sparse Signal Processing and Compressive Sensing, Machine Learning, and Dictionary learning.
Teaching
EN2091 Laboratory Practice and Projects
EN3150 Pattern Recognition
EN3330 Introduction to Engineering Optimization (Co-instructor)
EN4353 Radar and Navigation (Co-instructor)
EN4573 Pattern Recognition and Machine Intelligence
Journals
[1] U Sampath K Perera Miriya Thanthrige, P Jung, and A Sezgin, “Deep Unfolding of Iteratively Reweighted
ADMM for Wireless RF Sensing,” Sensors., vol. 22, no. 8, April 2022.
[2] U Sampath K Perera Miriya Thanthrige, J Barowski, I Rolfes, D Erni, T Kaiser and A Sezgin, “Characterization of Dielectric Materials by Sparse Signal Processing with Iterative Dictionary Updates,” IEEE Sensors Letters, vol. 4, no. 9, pp. 1 – 4, Sept. 2020.
[3] J Sanchez-Pastor, U Sampath K Perera Miriya Thanthrige, F Ilgac, A Jimenez-Saez, P Jung, A Sezgin, and R
Jakoby, “Clutter Suppression for Indoor Self Localization Systems by Iteratively Reweighted Low-Rank plus
Sparse Recovery,” Sensors., vol. 21, no. 20, Oct 2021.
[4] A M Ahmed, U Sampath K Perera Miriya Thanthrige, A E Gamal and A Sezgin, “Deep Learning for DoA
Estimation in MIMO Radar Systems via Emulation of Large Antenna Arrays,” IEEE Communications
Letters, vol. 25, no. 5, pp. 1559 – 1563, May 2021.
[5] P Hillger, M van Delden, U Sampath K Perera Miriya Thanthrige, A M Ahmed, J Wittemeier, A Sezgin et al., “Toward Mobile Integrated Electronic Systems at THz Frequencies,” Journal of Infrared, Millimeter, and Terahertz Waves., vol. 41, no. 7, July 2020.
[6] V Kuppusamy, U Sampath K Perera Miriya Thanthrige, A Udugama, and A Forster, “Evaluating Forwarding Protocols in Opportunistic Networks: Trends, Advances, Challenges and Best Practices. Future Internet, vol. 11, no. 5, May 2019.
Conferences
[1] U Sampath K Perera Miriya Thanthrige, A M Ahmed and A Sezgin, “Supervised Learning based Super Resolution DoA Estimation Utilizing Antenna Array Extrapolation,” IEEE 91st Vehicular Technology
Conference (VTC2020-Spring), Antwerp, Belgium, May 2020, pp. 1 – 5.
[2] U Sampath K Perera Miriya Thanthrige and A Sezgin, “Tera-Hertz Sub-Layer Object Identification using MCA and Dictionary Learning,” 2019 IEEE International Workshop on Mobile Terahertz Systems (IWMTS), Bad Neuenahr, Germany, July 2019, pp. 1 – 6.
[3] U Sampath K Perera Miriya Thanthrige, J Samarabandu, and X Wang, “Machine Learning Techniques for
Intrusion Detection on Public Dataset,” 2016 IEEE Canadian Conference on Electrical and Computer
Engineering (CCECE), Vancouver, BC, Canada, 15 – 18 May 2016, pp. 1 – 4.
[4] M. Al-Askary, U Sampath K Perera Miriya Thanthrige, P Pfeffer, L Wachter, G Schober, and A Sezgin,
“A Comparative Study of Low-Rank plus Sparse Matrix Decomposition and Machine Learning for Non-Destructive Air-Ultrasound Defect Detection,” 2021 IEEE 29th European Signal Processing Conference
(EUSIPCO), Dublin, Ireland, Aug. 2021, pp. 2109 – 2113.
[5] S Tewes, A A Ahmad, J Kakar, U Sampath K Perera Miriya Thanthrige, S Roth, and A Sezgin, “Ensemble-based Learning in Indoor Localization: A Hybrid Approach,” 2019 IEEE 90th Vehicular Technology Conference (VTC2019-Fall), Honolulu, HI, USA, Sept. 2019, pp. 1 – 5.
[6] Lukas B Schafer, U Sampath K Perera Miriya Thanthrige and A Sezgin,“Iteratively Reweighted Nuclear Norm based Distortion Compensation for THz-TDS,” 2022 IEEE International Workshop on Mobile Terahertz
Systems (IWMTS), June. 2022.
[7] Ahmed, A. M., U. Sampath. K. Perera Miriya Thanthrige, A. Sezgin and F. Gini,“Resilient Sparse Array
Radar with the Aid of Deep Learning,” 2023 IEEE Vehicular Technology Conference (VTC2023-Spring),
June. 2023.
Research
Google scholar-https://scholar.google.com/citations?hl=en&user=vuOC9RYAAAAJ