Pulication

Journals

  1. A Novel ECG Compression Algorithm Using Pulse-Width Modulation Integrated Quantization for Low-power Real-time Monitoring

    Nature - Scientific Reports (IF 4.3)

    Isuri Devindi*, Sashini Liyanage*, Titus Jayarathna, Roshan Ragel

    Contribution: [Co-First Author] Conceptualization, Methodology, Formal analysis, Software, Validation, Writing – Original Draft, Review & Editing

    doi: 10.1038/s41598-024-68022-5

  2. Multimodal Deep Convolutional Neural Network Pipeline for AI-Assisted Early Detection of Oral Cancer

    IEEE Access (IF - 3.4)

    Isuri Devindi, Dinura Dissanayake, Sashini Liyanage, Achintha Harshamal, Nadisha Piyarathne, Sumudu Rasnayaka, Kalani Hettiarachchi, Ruwan Jayasinghe, Roshan Ragel, Dhanushki Mapitigama, Isuru Nawinne

    Contribution: Conceptualization, Data Curation, Formal analysis, Software, Validation, Writing - Review & Editing

    doi: 10.1109/ACCESS.2024.3454338

  3. A Comprehensive Dataset of Annotated Oral Cavity Images for Diagnosis of Oral Cancer and Oral Potentially Malignant Disorders

    Elsevier - Oral Oncology (IF 4.0)

    N.S. Piyarathne, S.N. Liyanage, R.M.S.G.K. Rasnayaka, P.V.K.S. Hettiarachchi, G.A.I. Devindi, F.B.A.H. Francis, D.M.D.R. Dissanayake, R.A.N.S. Ranasinghe, M.B.D. Pavithya, I. Nawinne, R.G. Ragel, R.D. Jayasinghe

    Contribution: Formal analysis, Data curation, Visualization, Software, Writing – Original Draf

    doi: 10.1016/j.oraloncology.2024.106946

  4. Application of an LSTM-Based Channel Attention and Classification Mechanism in Fetal Movement Monitoring

    Under review in Elsevier - Computers in Biology and Medicine (IF 7.0)

    Praditha Alwis, Isuru Thilakasiri, Sashini Liyanage, Rahal Nanayakkara, Roshan Godaliyadda, Mervyn Ekanayake, Chathura Rathnayake, Janaka Wijayakulasooriya, Vijitha Herath

    Contribution: Conceptualization, Methodology, Data curation, Formal analysis, Writing – Original Draft

    Pre-print: 10.36227/techrxiv.24630642.v3

Conferences

  1. Real World Data-Driven Agent-Based Modeling for Health Policy Insights During Epidemics

    International Conference on Advancements in Computing 2024 (ICAC 2024) [Accepted & to be publication]

    Sashini Liyanage, Mahesha Viduranga, Mario De Silva, Roshan Godaliyadda, Mervyn Ekanayake, Vijitha Herath, Janaka Ekanayake

    Contribution: Conceptualization, Methodology, Formal analysis, Software, Writing – Original Draft.
  2. Self-Paced Brain-Computer Interface on Sensorimotor Rhythms for Controlling Virtual Objects

    Moratuwa Engineering Research Conference 2024 (MERCon 2024)

    A.D. Athapattu, P.S.B. Dassanayake, G.S.C. Nanayakkara, S.N. Liyanage, G.A.I. Devindi, Roshan Ragel, Theekshana Dissanayake, Isuru Nawinne

    Contribution: Writing - Review & Editing, Visualization

    doi: 10.1109/MERCon63886.2024.10688894

  3. EEG Based Brain-Computer Interface for Inner Speech Classification

    Moratuwa Engineering Research Conference 2024 (MERCon 2024)

    Praveen Dhananjaya, Isurika Adikari, Sumudu Lakmali, Isuri Devindi, Sashini Liyanage, Mahanama Wickramasinghe, Theekshana Dissanayake, Roshan Ragel, Isuru Nawinne

    🏆 Best Paper Award in Biomedical Engineering Track

    Contribution: Writing - Review & Editing, Visualization

    doi: 10.1109/MERCon63886.2024.10688451

  4. Decoding Non-Motor Imagery Tasks With Non-Invasive EEG Based Brain-Computer Interface: A Review

    Moratuwa Engineering Research Conference 2024 (MERCon 2024)

    Sumudu Lakmali, Praveen Dhananjaya, Isurika Adikari, Isuri Devindi, Sashini Liyanage, Mahanama Wickramasinghe

    Contribution: Writing - Review & Editing

    doi: 10.1109/MERCon63886.2024.10688719

Datasets

This section lists the datasets acquired and processed in relation to the research publications made publicly available by the authors


  1. A Multi-Sensory Inertial Measurement Unit Dataset for Fetal Condition Monitoring

    This dataset comprises abdominal movement recordings from 44 pregnant mothers, captured using a multi-sensory device with four IMUs (MPU6050 sensors) that measure tri-axial acceleration and gyroscopic data. Ground truth fetal movement labels were obtained via ultrasound observation and maternal perception, both under expert supervision, and all data is provided in .csv format.

    doi: 10.7910/DVN/QHFHYC

  2. Dataset of Annotated Oral Cavity Images for Oral Cancer Detection

    This dataset includes 3,000 oral cavity images with detailed patient metadata, categorized into oral cancer, OPMD, benign, and healthy groups. Images feature annotated lesion boundaries and are available in COCO format

    doi: 10.5281/zenodo.10664055

  3. Spatio-Temporal Activity Data Across Professional Classes in Kandy, Sri Lanka

    This dataset contains GPS-based motion data from 100 individuals in Kandy District, Sri Lanka, spanning roughly 21 days across 13 professional categories. Each individual's visited locations are clustered into 18 unique sites within seven zones (e.g., Industrial, Commercial, Educational), with minute-by-minute timestamps documenting their movements.

    doi: 10.5281/zenodo.13621863