| 2026 | FlAIRS | FuseGO - Evaluating Embedding Fusion Across Species with Unequal Encoder Capacity for Automated Protein Function Prediction. | Anne Howell, Indika Kahanda |
| 2026 | FlAIRS | RAMP - Exploring the Feasibility of Detecting Physics Student Misconceptions in Writing Assignments Using Large Language Models. | Ella Luedeke, Natalie Spiro, Indika Kahanda, Brian Lane, Caleb Spiers, Terrie M. Galanti, Upulee Kanewala |
| 2025 | CHASE | Exploring the Feasibility of Identifying Nutrition Misinformation on Social Media. | Prajwol Lamichhane, Indika Kahanda, Andrea Arikawa, Charlotte Martin, Maribel Garcia, Camila Figueiredo, Haivan Benjamin |
| 2025 | ICMLA | Improving Robustness of Large Language Models Used in Healthcare Through Prompt Engineering. | Jonathan O'Berry, Indika Kahanda, Upulee Kanewala |
| 2025 | ICMLA | Genotype-to-Phenotype Associations in Yeast with Frequented Region Variants and Deep Learning. | Tejaswi Vemuri, Trung Dinh, Zonglin Yang, Thiruvarangan Ramaraj, Joann Mudge, Brendan Mumey, Indika Kahanda |
| 2024 | ICST | Poster: Towards Understanding Root Causes of Real Failures in Healthcare Machine Learning Applications. | Guna Sekaran Jaganathan, Nazmul Kazi, Indika Kahanda, Upulee Kanewala |
| 2024 | ICST | MLHCBugs: A Framework to Reproduce Real Faults in Healthcare Machine Learning Applications. | Guna Sekaran Jaganathan, Nazmul Kazi, Indika Kahanda, Upulee Kanewala |
| 2023 | CHASE | Poster: BioFactCheck: Exploring the Feasibility of Explainable Automated Inconsistency Detection in Biomedical and Health Literature. | Prajwol Lamichhane, Indika Kahanda, Xudong Liu, Karthikeyan Umapathy, Sandeep Reddivari, Catherine Christie, Andrea Arikawa, Jenifer Ross |
| 2023 | ICMLA | UNF-IDT: Automated Irony Detection in English Tweets. | Guna Sekaran Jaganathan, Grentina Kilungeja, Indika Kahanda |
| 2023 | ICMLA | Enhancing Transfer Learning of LLMs through Fine- Tuning on Task - Related Corpora for Automated Short-Answer Grading. | Nazmul Kazi, Indika Kahanda |
| 2023 | ICMLA | Zero-Shot Information Extraction with Community-Fine-Tuned Large Language Models From Open-Ended Interview Transcripts. | Nazmul Kazi, Indika Kahanda, S. Indu Rupassara, John W. Kindt |
| 2023 | ICMLA | Enhancing Health Information Retrieval with Large Language Models: A Study on MedQuAD Dataset. | Prajwol Lamichhane, Indika Kahanda |
| 2023 | ICMLA | Patronizing and Condescending Language Detection. | Conrad Testagrose, Athlene V. Jones, Indika Kahanda |
| 2021 | CBMS | BioSGAN: Protein-Phenotype Co-mention Classification Using Semi-Supervised Generative Adversarial Networks. | Francis Anokye, Indika Kahanda |
| 2021 | EACL | Automatically Cataloging Scholarly Articles using Library of Congress Subject Headings. | Nazmul Kazi, Nathaniel Lane, Indika Kahanda |
| 2021 | FlAIRS | Vegetation Coverage in Marsh Grass Photography Using Convolutional Neural Networks. | Lucas Welch, Xudong Liu, Indika Kahanda, Sandeep Reddivari, Karthikeyan Umapathy |
| 2020 | CIBCB | miRNAFinder: A pre-microRNA classifier for plants and analysis of feature impact. | Puwasuru Ihalagedara, Sandali Lokuge, Shyaman Jayasundara, Damayanthi Herath, Indika Kahanda |
| 2020 | ICSE | MRpredT: Using Text Mining for Metamorphic Relation Prediction. | Karishma Rahman, Indika Kahanda, Upulee Kanewala |
| 2020 | PACBB | DeepACPpred: A Novel Hybrid CNN-RNN Architecture for Predicting Anti-Cancer Peptides. | Nathaniel Lane, Indika Kahanda |
| 2018 | ICSE | Quality Assurance of Bioinformatics Software: A Case Study of Testing a Biomedical Text Processing Tool Using Metamorphic Testing. | Madhusudan Srinivasan, Morteza Pourreza Shahri, Indika Kahanda, Upulee Kanewala |
| 2009 | ICWSM | Using Transactional Information to Predict Link Strength in Online Social Networks. | Indika Kahanda, Jennifer Neville |