Umesh Timalsina

15 papers A 1B 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Evidence-Decision-Feedback: Theory-Driven Adaptive Scaffolding for LLM Agents.
CoRR
Clayton Cohn, Siyuan Guo, Surya Rayala, Hanchen David Wang, Naveeduddin Mohammed, Umesh Timalsina, Shruti Jain, Angela Eeds, Menton M. Deweese, Pamela Osborn Popp, Rebekah Stanton, Shakeera Walker, Meiyi Ma, Gautam Biswas
2026 A conf
The Role of LLM-Powered Conversational Agents in Supporting Inquiry in a Narrative-Centered Learning Environment: A Learning Analytics Study.
LAK
Namrata Srivastava, Megan Humburg, Sarah K. Burriss, Shruti Jain, Clayton Cohn, Yeo Jin Kim, Umesh Timalsina, Joshua A. Danish, Cindy E. Hmelo-Silver, Krista D. Glazewski, James C. Lester, Gautam Biswas
2025 — conf
Challenges of Applying Computer Vision for Emotion Detection in Educational Settings: A Study on Bias.
AIED (6)
T. S. Ashwin, Nihar Sanda, Umesh Timalsina, Gautam Biswas
2025 J jnl
LearnLens: An AI-Enhanced Dashboard to Support Teachers in Open-Ended Classrooms.
CoRR
Namrata Srivastava, Shruti Jain, Clayton Cohn, Naveeduddin Mohammed, Umesh Timalsina, Gautam Biswas
2025 J jnl
Personalizing Student-Agent Interactions Using Log-Contextualized Retrieval Augmented Generation (RAG).
CoRR
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, Gautam Biswas
2024 — conf
3D Gaze Tracking for Studying Collaborative Interactions in Mixed-Reality Environments.
ICMI Companion
Eduardo Davalos, Yike Zhang, Ashwin T. S., Joyce Horn Fonteles, Umesh Timalsina, Gautam Biswas
2024 J jnl
3D Gaze Tracking for Studying Collaborative Interactions in Mixed-Reality Environments.
CoRR
Eduardo Davalos, Yike Zhang, Ashwin T. S., Joyce Horn Fonteles, Umesh Timalsina, Guatam Biswas
2024 J jnl
Anvil: An integration of artificial intelligence, sampling techniques, and a combined CAD-CFD tool.
CoRR
Harsh Vardhan, Umesh Timalsina, Michael Sandborn, David Hyde, Péter Völgyesi, Janos Sztipanovits
2023 B conf
ChimeraPy: A Scientific Distributed Streaming Framework for Real-time Multimodal Data Retrieval and Processing.
IEEE Big Data
Eduardo Davalos, Umesh Timalsina, Yike Zhang, Jiayi Wu, Joyce Horn Fonteles, Gautam Biswas
2023 J jnl
MoSDeF-GOMC: Python Software for the Creation of Scientific Workflows for the Monte Carlo Simulation Engine GOMC.
J. Chem. Inf. Model.
Brad Crawford, Umesh Timalsina, Co D. Quach, Nicholas C. Craven, Justin B. Gilmer, Clare McCabe, Peter T. Cummings, Jeffrey J. Potoff
2023 J jnl
Sample-Efficient and Surrogate-Based Design Optimization of Underwater Vehicle Hulls.
CoRR
Harsh Vardhan, David Hyde, Umesh Timalsina, Péter Völgyesi, Janos Sztipanovits
2022 J jnl
Data efficient surrogate modeling for engineering design: Ensemble-free batch mode deep active learning for regression.
CoRR
Harsh Vardhan, Umesh Timalsina, Péter Völgyesi, Janos Sztipanovits
2022 J jnl
DeepForge for astronomy: Deep learning SDSS redshifts from images.
Astron. Comput.
Umesh Timalsina, Brian Broll, K. Moore, Tamás Budavári, Ákos Lédeczi
2020 J jnl
A Machine Learning Gateway for Scientific Workflow Design.
Sci. Program.
Brian Broll, Umesh Timalsina, Péter Völgyesi, Tamás Budavári, Ákos Lédeczi, Manuel E. Acacio Sanchez
2019 — conf
Incentivizing Services Sharing in IoT with OSGi and HashGraph.
ICDIS
Umesh Timalsina, Andy Wang