| 2026 | ICAART | From Natural Language to Interpretable Code: Automated Code Generation for Healthcare with Large Language Models - A Comparative Analysis. | Yuexi Chen, Gauri Vaidya, Alison N. O'Connor, Meghana Kshirsagar |
| 2025 | DATA | DataPulse: An Interactive Dashboard for Statistical and Exploratory Analysis of Multimodal Healthcare Data in Shiny. | Adam Urban, James Connolly, Gauri Vaidya, Krishn Kumar Gupt, Meghana Kshirsagar |
| 2025 | ICAART | Mitigating Algorithmic Bias in Prostate Cancer Risk Stratification with Responsible Artificial Intelligence and Machine Learning. | Meghana Kshirsagar, Mihir Sontakke, Gauri Vaidya, Ahmad Alkhan, Aideen Killeen, Conor Ryan |
| 2025 | ICAART | Machine Learning for Prostate Cancer Risk Stratification: A Web-Based Tool with Explainability and Fairness. | Meghana Kshirsagar, Gauri Vaidya, Yuvraj Srivastava, Conor Ryan |
| 2025 | ICAART | PurGE: Towards Responsible Artificial Intelligence Through Sustainable Hyperparameter Optimization. | Gauri Vaidya, Meghana Kshirsagar, Conor Ryan |
| 2025 | ICAART | Resource-Efficient Techniques for Hyperparameter Optimization in Machine Learning. | Gauri Vaidya, Meghana Kshirsagar, Conor Ryan |
| 2024 | ICAART | Enhancing Portfolio Performance: A Random Forest Approach to Volatility Prediction and Optimization. | Vedant Rathi, Meghana Kshirsagar, Conor Ryan |
| 2023 | ICAART | A Convolutional Neural Network Based Patch Classifier Using Mammograms. | Yumnah Hasan, Aidan Murphy, Meghana Kshirsagar, Conor Ryan |
| 2023 | IJCCI | Adaptive Case Selection for Symbolic Regression in Grammatical Evolution. | Krishn Kumar Gupt, Meghana Kshirsagar, Douglas Mota Dias, Joseph P. Sullivan, Conor Ryan |
| 2022 | GECCO | Automated grammar-based feature selection in symbolic regression. | Muhammad Sarmad Ali, Meghana Kshirsagar, Enrique Naredo, Conor Ryan |
| 2022 | GECCO | PreDive: preserving diversity in test cases for evolving digital circuits using grammatical evolution. | Krishn Kumar Gupt, Meghana Kshirsagar, Lukas Rosenbauer, Joseph P. Sullivan, Douglas Mota Dias, Conor Ryan |
| 2022 | GECCO | On the effect of embedding hierarchy within multi-objective optimization for evolving symbolic regression models. | Atif Rafiq, Enrique Naredo, Meghana Kshirsagar, Conor Ryan |
| 2022 | ICAART | Rethinking Traffic Management with Congestion Pricing and Vehicular Routing for Sustainable and Clean Transport. | Meghana Kshirsagar, Tanishq More, Rutuja Lahoti, Shreya Adgaonkar, Shruti Jain, Conor Ryan |
| 2021 | AIES | Becoming Good at AI for Good. | Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami, Ivan S. Klyuzhin, Sumit Mukherjee, Md Nasir, Anthony Ortiz, Felipe Oviedo, Darren Tanner, Anusua Trivedi, Yixi Xu, Ming Zhong, Bistra Dilkina, Rahul Dodhia, Juan M. Lavista Ferres |
| 2021 | ICAART | GREE-COCO: Green Artificial Intelligence Powered Cost Pricing Models for Congestion Control. | Meghana Kshirsagar, Tanishq More, Rutuja Lahoti, Shreya Adgaonkar, Shruti Jain, Conor Ryan, Vivek Kshirsagar |
| 2021 | ICAART | AutoGE: A Tool for Estimation of Grammatical Evolution Models. | Muhammad Sarmad Ali, Meghana Kshirsagar, Enrique Naredo, Conor Ryan |
| 2021 | ICAART | Multi-objective Classification and Feature Selection of Covid-19 Proteins Sequences using NSGA-II and MAP-Elites. | Vijay Sambhe, Shanmukha Rajesh, Enrique Naredo, Douglas Mota Dias, Meghana Kshirsagar, Conor Ryan |
| 2021 | IJCCI | Towards Automatic Grammatical Evolution for Real-world Symbolic Regression. | Muhammad Sarmad Ali, Meghana Kshirsagar, Enrique Naredo, Conor Ryan |
| 2021 | IJCCI | Pyramid-Z: Evolving Hierarchical Specialists in Genetic Algorithms. | Atif Rafiq, Enrique Naredo, Meghana Kshirsagar, Conor Ryan |
| 2021 | ICSoft | Hierarchical Clustering Driven Test Case Selection in Digital Circuits. | Conor Ryan, Meghana Kshirsagar, Krishn Kumar Gupt, Lukas Rosenbauer, Joseph P. Sullivan |
| 2021 | PSB | Protein sequence models for prediction and comparative analysis of the SARS-CoV-2 - human interactome. | Meghana Kshirsagar, Nure Tasnina, Michael D. Ward, Jeffrey N. Law, T. M. Murali, Juan M. Lavista Ferres, Gregory R. Bowman, Judith Klein-Seetharaman |
| 2020 | ICAART | GETS: Grammatical Evolution based Optimization of Smoothing Parameters in Univariate Time Series Forecasting. | Conor Ryan, Meghana Kshirsagar, Purva Chaudhari, Rushikesh Jachak |
| 2020 | IJCCI | GEMO: Grammatical Evolution Memory Optimization System. | Meghana Kshirsagar, Rushikesh Jachak, Purva Chaudhari, Conor Ryan |
| 2016 | RECOMB | Multitask Matrix Completion for Learning Protein Interactions Across Diseases. | Meghana Kshirsagar, Jaime G. Carbonell, Judith Klein-Seetharaman, Keerthiram Murugesan |
| 2015 | ACL | Frame-Semantic Role Labeling with Heterogeneous Annotations. | Meghana Kshirsagar, Sam Thomson, Nathan Schneider, Jaime G. Carbonell, Noah A. Smith, Chris Dyer |