Research Interests
- Data Science
- Machine Learning
- Social Network Analysis
- Generative Adversarial Networks
Education
- Ph.D. in Computer Engineering, Department of Electrical & Computer Engineering, Colorado State University, USA (2022)
- M.Sc. in Computer Science, Department of Computer Science & Engineering, University of Moratuwa, Sri Lanka (2018)
- B.Sc. in Engineering (Hons), Department of Computer Science & Engineering, University of Moratuwa, Sri Lanka (2015)
Publications
Journal Publications:
- S. R. Muramudalige, A. P. Jayasumana, and H. Wang, “A feature mapping technique for complex data object generation with likelihood and deep generative approaches,” IEEE Access, 2023. doi : 10.1109/ACCESS.2023.3335375
- S. R. Muramudalige, B. W. K. Hung, R. Libretti, J. Klausen, and A. P. Jayasumana, “Investigative Pattern Detection Framework for Counterterrorism,” 2023. doi : arXiv:2310.19211
- H. Shirazi, S. R. Muramudalige, I. Ray, A. P. Jayasumana, and H. Wang, “Adversarial Autoencoder Data Synthesis for Enhancing Machine Learning-based Phishing Detection Algorithms,”IEEE Transactions on Services Computing, 2023. doi : 10.1109/TSC.2023.3234806
- S. R. Muramudalige, B. W. K. Hung, A. P. Jayasumana, I. Ray, and J. Klausen, “Enhancing investigative pattern detection via inexact matching and graph databases,” IEEE Transactions on Services Computing, vol. 15, no. 5, pp. 2780-2794, 2022. doi : 10.1109/TSC.2021.3073145
- C. M. Kattadige, S. R. Muramudalige, G. Jourjon, H. Wang, A. P. Jayasumana, and K. Thilakarathna “VideoTrain++: GAN-Based Adaptive Framework for Synthetic Video Traffic Generation,” Computer Networks, Vol 206, 2022. doi : 10.1016/j.comnet.2022.108785
- M. Amarasinghe, S. R. Muramudalige, S. Kottegoda, A.L. Arachchi, H.M.N.D. Bandara, and A. Azeez, “Cloud-based Driver Monitoring and Vehicle Diagnostic with OBD2 Telematics”, International Journal of Handheld Computing Research (IJHCR), vol. 6(4), pp. 59-75, 2015. doi : 10.4018/IJHCR.2015100104
Conference Publications:
- C. M. Kattadige, S. R. Muramudalige, K. N. Choi, G. Jourjon, H. Wang, A. P. Jayasumana, K. Thilakarathna “VideoTrain: A Generative Adversarial Framework for Synthetic Video Traffic Generation,” in Proc. 22nd IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM 2021), pp. 209-218, Pisa, Italy, Jun. 2021. doi : 10.1109/WoWMoM51794.2021.00034
- H. Shirazi, S. R. Muramudalige, I. Ray, and A. P. Jayasumana, “Improved Phishing Detection Algorithms using Adversarial Autoencoder Synthesized Data,” in Proc. IEEE 45th Conference on Local Computer Networks (LCN2020), Sydney, Australia, Nov. 2020. [Best paper finalist] doi : 10.1109/LCN48667.2020.9314775
- B. W. K. Hung, S. R. Muramudalige, A. P. Jayasumana, J. Klausen, R. Libretti, E. Moloney, and P. Renugopalakrishnan, “Recognizing Radicalization Indicators in Text Documents Using Human-in-the-Loop Information Extraction and Natural Language Processing Techniques,” in Proc. 2019 IEEE International Symposium on Technologies for Homeland Security (HST), Woburn, MA USA, Nov. 2019. doi : 10.1109/HST47167.2019.9032956
- S. R. Muramudalige, B.W. K. Hung, A.P. Jayasumana and I. Ray, “Investigative Graph Search using Graph Databases,” in Proc. 2019 First International Conference on Graph Computing (GC 2019), pp. 60-67, Laguna Hills, CA, Sept. 2019. doi : 10.1109/GC46384.2019.00017
- S.R. Muramudalige, H.M.N.D. Bandara, “Automated Driver Scheduling for Vehicle Delivery”. In: Kováčiková T., Buzna Ľ., Pourhashem G., Lugano G., Cornet Y., Lugano N. (eds) Intelligent Transport Systems – From Research and Development to the Market Uptake. INTSYS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 222. Springer, Cham, 2018. doi : 10.1007/978-3-319-93710-6_23
- M. Amarasinghe, S. Kottegoda, A.L. Arachchi, S. Muramudalige, H.M.N.D. Bandara, and A. Azeez, “Cloud-based Driver Monitoring and Vehicle Diagnostic with OBD2 Telematics”, in Proc. IEEE 15th International Conference on Advances in ICT for Emerging Regions (ICTer), 2015. doi : 10.1109/ICTER.2015.7377695
Panel Discussions:
- S. R. Muramudalige, Benjamin W.K. Hung, Anura P. Jayasumana, Jytte Klausen, Evan Moloney, and Rosanne Libretti, “Developing and Detecting Extremist Radicalization Trajectories with Machine Learning Techniques” accepted for panel at the 2020 American Society of Criminology (ASC) Annual Meeting, Washington, D.C., USA, Nov. 2020.
Demos and Posters:
- S. Muramudalige and H.M.N.D. Bandara, “Demo: Cloud-Based Vehicular Data Analytics Platform”, in Proc. 14th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys 2016), Singapore, June 2016. doi : 10.1145/2938559.2948849
Theses & Disserations:
- S. R. Muramudalige, “Simulated Annealing Based Optimized Driver Scheduling for Vehicle Delivery,” M.Sc. thesis, University of Moratuwa, Sri Lanka, 2018. Link
- S. R. Muramudalige, “Automating investigative pattern detection using machine learning & graph pattern matching techniques,” Ph.D. disseration, Colorado State University, USA, 2022. Link
Awards & Achievements
- Best paper finalist, LCN best paper awards 2020, the 45th IEEE Conference on Local Computer Networks (LCN), virtually hosted in Sydney, Australia, November 2020.
- Thampachen Kunjunny Memorial Scholarship, Walter Scott, Jr. College of Engineering, Colorado State University, USA, 2019-20 and 2020-21.
- The Walter Scott, Jr. Graduate Fellowship, Walter Scott, Jr. College of Engineering, Colorado State University, USA, 2018-19. Link
- MobiSys Student Scholarship, ASSET workshop (1st Asian Students Symposium on Emerging Technologies) and MobiSys conference (Proc. 14th Annual International Conference on Mobile Systems, Applications, and Services), Singapore, 2016.