Incentivizing Services Sharing in IoT with OSGi and HashGraph. - Umesh Timalsina; Andy Wang (ICDIS, 2019)

A Machine Learning Gateway for Scientific Workflow Design. - Brian Broll; Umesh Timalsina; Péter Völgyesi; Tamás Budavári; Ákos Lédeczi; Manuel E. Acacio Sanchez (Sci. Program., 2020)

DeepForge for astronomy: Deep learning SDSS redshifts from images. - Umesh Timalsina; Brian Broll; K. Moore; Tamás Budavári; Ákos Lédeczi (Astron. Comput., 2022)

Data efficient surrogate modeling for engineering design: Ensemble-free batch mode deep active learning for regression. - Harsh Vardhan; Umesh Timalsina; Péter Völgyesi; Janos Sztipanovits (CoRR, 2022)

ChimeraPy: A Scientific Distributed Streaming Framework for Real-time Multimodal Data Retrieval and Processing. - Eduardo Davalos; Umesh Timalsina; Yike Zhang 001; Jiayi Wu; Joyce Horn Fonteles; Gautam Biswas (IEEE Big Data, 2023)

Sample-Efficient and Surrogate-Based Design Optimization of Underwater Vehicle Hulls. - Harsh Vardhan; David Hyde 001; Umesh Timalsina; Péter Völgyesi; Janos Sztipanovits (CoRR, 2023)

MoSDeF-GOMC: Python Software for the Creation of Scientific Workflows for the Monte Carlo Simulation Engine GOMC. - Brad Crawford; Umesh Timalsina; Co D. Quach; Nicholas C. Craven; Justin B. Gilmer; Clare McCabe; Peter T. Cummings; Jeffrey J. Potoff (J. Chem. Inf. Model., 2023)

3D Gaze Tracking for Studying Collaborative Interactions in Mixed-Reality Environments. - Eduardo Davalos; Yike Zhang 001; Ashwin T. S.; Joyce Horn Fonteles; Umesh Timalsina; Gautam Biswas (ICMI Companion, 2024)

3D Gaze Tracking for Studying Collaborative Interactions in Mixed-Reality Environments. - Eduardo Davalos; Yike Zhang 001; Ashwin T. S.; Joyce Horn Fonteles; Umesh Timalsina; Guatam Biswas (CoRR, 2024)

Anvil: An integration of artificial intelligence, sampling techniques, and a combined CAD-CFD tool. - Harsh Vardhan; Umesh Timalsina; Michael Sandborn; David Hyde 001; Péter Völgyesi; Janos Sztipanovits (CoRR, 2024)

Challenges of Applying Computer Vision for Emotion Detection in Educational Settings: A Study on Bias. - T. S. Ashwin; Nihar Sanda; Umesh Timalsina; Gautam Biswas (AIED (6), 2025)

Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval Augmented Generation (RAG). - Clayton Cohn; Surya Rayala; Caitlin Snyder; Joyce Horn Fonteles; Shruti Jain; Naveeduddin Mohammed; Umesh Timalsina; Sarah K. Burriss; Ashwin T. S.; Namrata Srivastava; Menton M. Deweese; Angela Eeds; et al. (CoRR, 2025)