Dineth Jayakody

Ph.D. student in Computer Science, Old Dominion University

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Wadduwage Lab

Norfolk, VA, USA

djaya003@odu.edu

I am a Ph.D. student in Computer Science at Old Dominion University, working with Dr. Dushan Wadduwage in the Wadduwage Lab. My research sits at the intersection of applied machine learning, biomedical imaging, causal inference, and natural language processing.

I graduated with First Class Honours in Electrical and Information Engineering from the University of Ruhuna, Sri Lanka, with the highest OGPA in my batch (3.94/4.00). I also spent time as a software engineer at Codegen International, where I built LLM applications, RAG pipelines, and enterprise software.

Research interests: applied ML, AI for biomedical applications, out-of-distribution detection, differentiable microscopy, optical neural networks, and domain-specific NLP.

A more complete record is on my CV and publications pages. You can also find me on Google Scholar.

news

May 01, 2026 Accepted participant and poster presenter at the Gordon Research Conference on Optics and Photonics in Medicine and Biology, and selected for the CLIMB Biophotonics Summer School at UIUC.
Apr 01, 2026 SentimentLens accepted at IEEE IRI 2026.
Mar 01, 2026 Paper accepted at the MMFM-BIOMED Workshop @ CVPR 2026: When Multimodal Models Stop Listening.
Aug 01, 2025 Started my Ph.D. in Computer Science at Old Dominion University as a Graduate Research Assistant in the Wadduwage Lab.
Jun 01, 2025 Received the Ronnie De Mel Gold Medal, Dr. A.D.V. Premaratne Memorial Gold Medal, BOC Award, and Vice Chancellor’s Award from the University of Ruhuna.

selected publications

  1. CVPR-W
    When Multimodal Models Stop Listening: Modality Imbalance Induces Dominant-Modality Bias in Biomedicine
    Dineth Jayakody and Dushan Wadduwage
    In MMFM-BIOMED Workshop at CVPR, 2026
  2. IRI
    SentimentLens: Reconciling Sentiment and Ratings via Dual-Modality in the Hospitality Sector
    Dineth Jayakody, Pasindu Thenahandi, and Sampath Jayarathne
    In IEEE International Conference on Information Reuse and Integration (IRI), 2026
  3. GRC
    Beyond Perfect Scores: Proof-by-Contradiction for Trustworthy Machine Learning
    Dushan Wadduwage, Dineth Jayakody, and Leonidas Zimianitis
    In Gordon Research Conference on Optics and Photonics in Medicine and Biology, 2026
  4. SDSC
    MultiSense-Pneumo: A Multimodal Learning Framework for Pneumonia Screening in Resource-Constrained Settings
    Dineth Jayakody, Pasindu Thenahandi, Chameli Dilshani Menike Dommanige, and 2 more authors
    In Springer proceedings of SDSC, 2026
  5. PACLIC
    Enhanced Aspect-Based Sentiment Analysis with Integrated Category Extraction for Instruct-DeBERTa
    D.S. Jayakody, K. Isuranda, N. Silva, and 3 more authors
    In 38th Pacific Asia Conference on Language, Information and Computation (PACLIC), 2024