Sritharan Braveenan

Official Email: Sritharan[DOT]Braveenan[AT]uga[DOT]edu

Personal Email: braveenans[AT]gmail[DOT]com

Other Email: braveenans[DOT]22[AT]cse[DOT]mrt[DOT]ac[DOT]lk, braveenans[DOT]22[AT]uom[DOT]lk

I am currently pursuing a Doctor of Philosophy (PhD) in Computer Science at the School of Computing, University of Georgia. I hold a research-based master's degree in Computer Science and Engineering from the University of Moratuwa, Sri Lanka, where my research focused on speech processing. My academic journey began with a bachelor's degree in Electronic and Telecommunication Engineering, also from the University of Moratuwa.

During my undergraduate studies, I gained professional experience through internships at Wave Computing and Paraqum Technologies. Before starting my PhD, I worked as a Software Engineer at Axiata Digital Labs, further honing my skills in software development and engineering.

My previous research includes the development of a unified voice model for speech, speaker, and emotion recognition using multi-task learning, as well as contributions to light field video compression algorithms utilizing approximate discrete cosine transformation. I also explored vision-based autonomous drones for GPS-denied environments during my undergraduate studies.

My research interests lie at the intersection of signal processing and machine learning, with a focus on speech processing, multimedia compression, and autonomous systems.

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• [2025-12-21] Presented wavCSE: Learning Fixed-size Unified Speech Embeddings via Feature-based Multi-Task Learning at IJCNLP–AACL 2025, Mumbai, India.
• [2025-03-18] Presented SUPERB-EP: Evaluating Encoder Pooling Techniques in Self-Supervised Learning Models for Speech Classification at the 2025 IEEE Symposium on Computational Intelligence in Natural Language Processing and Social Media (CI-NLPSoMe), IEEE.
• [2025-01-20] Presented Advancing Multilingual Speaker Identification and Verification for Indo-Aryan and Dravidian Languages at the First Workshop on Natural Language Processing for Indo-Aryan and Dravidian Languages.
• [2025-01-09] Published Computationally Efficient Light Field Video Compression Using 5-D Approximate DCT in the journal Journal of Low Power Electronics and Applications, MDPI.
• [2025-01-01] Commenced my Doctor of Philosophy (PhD) program at the School of Computing at the University of Georgia.
• [2024-08-31] Graduated with a Master of Science (Major Component Research) specialized in Computer Science and Engineering.
• [2024-08-01] Joined as Lecturer on contract at the Department of CSE, University of Moratuwa.
• [2024-07-26] Defended Master's thesis.
• [2024-06-14] Abstract accepted on "Advancements in Speech Representation: From Feature Engineering to Self-Supervised Learning" at TASME 2024.
• [2024-05-16] Submitted MSc initial thesis.
• [2023-11-11] Conducted Workshop on Sequence-to-Sequence Models in Deep Learning at MERCon 2023.
• [2022-09-12] Assigned as Teaching Assistant at University of Moratuwa.
• [2022-08-12] Commenced my research-based Master's degree program at University of Moratuwa.
• [2022-05-19] Started working as Research Assistant at University of Moratuwa.
• [2022-05-18] Left Axiata Digital Labs as Software Engineer.
• [2021-08-01] Included in semester 7 and 8 dean list.
• [2021-07-31] Graduated with Second Class Upper Division in Bachelor of Science of Engineering, Honours degree.
• [2021-07-15] Joined Axiata Digital Labs as Software Engineer.
• [2021-02-06] Conducted Workshop on Light Field Processing Using Low-Complexity Signal Processing Algorithms and Deep Learning at IEEE EMBS International Student Conference 2021.
• [2020-07-15] Assigned as Webmaster for University of Moratuwa IEEE Communications Society Student Branch Chapter.
• [2019-11-15] Assigned as Editor for University of Moratuwa IEEE Communications Society Student Branch Chapter.
• [2019-08-05] Started Internship at Paraqum Technologies.
• [2019-06-24] Started Internship at Wave Computing.
• [2018-08-15] Promoted to Team Leader position in AIESEC Colombo South.
• [2017-09-26] Assigned as Student Representative for Department of Electronic and Telecommunication.
• [2017-08-14] Started specialization in Electronic and Telecommunication Engineering.
• [2017-08-13] Included in semester 1 dean list.
• [2017-01-01] Got Mahapola Higher Education Merit Scholarship for undergraduate studies granted by the Government of Sri Lanka.
• [2016-10-26] Commenced my Bachelor's degree program at University of Moratuwa.
• More...

1. wavCSE: Learning Fixed-size Unified Speech Embeddings via Feature-based Multi-Task Learning
   Sritharan, B., & Thayasivam, U.
   In Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025.
   Paper


2. SUPERB-EP: Evaluating Encoder Pooling Techniques in Self-Supervised Learning Models for Speech Classification
   Sritharan, B., Thayasivam, U., & Bandara, S. J.
   In 2025 IEEE Symposium on Computational Intelligence in Natural Language Processing and Social Media (CI-NLPSoMe), IEEE, 2025.
   Paper


3. Advancing Multilingual Speaker Identification and Verification for Indo-Aryan and Dravidian Languages
   Sritharan, B., & Thayasivam, U.
   In Proceedings of the First Workshop on Natural Language Processing for Indo-Aryan and Dravidian Languages, 2025.
   Paper


4. Computationally Efficient Light Field Video Compression Using 5-D Approximate DCT
   Sritharan, B., Edussooriya, C. U., Wijenayake, C., Cintra, R. J., & Madanayake, A.
   Journal of Low Power Electronics and Applications, 15(1), 2, 2025.
   Paper

• Cross-View Geo-Localization (CVGL)
  Developing cross-view image matching methods for localizing ground-level imagery against geo-referenced aerial or satellite imagery in GPS-denied environments. Investigating viewpoint-invariant representation learning and robust camera pose estimation for vision-based navigation.

• Vision-Based Autonomous Inventory Management Drone
  Designed and implemented a vision-guided autonomous drone system for inventory monitoring and navigation in GPS-denied indoor environments. Video