Publications
Full list on Google Scholar.
First-Author and Corresponding-Author Papers
- Conformal Selective Acting: Anytime-Valid Risk Control for RLVR-Trained LLMs NeurIPS 2026 (main track)
- Which LLM for Which Work? Budgeted Model Allocation under Uncertain Evaluation Can We Trust AI Evaluation? Workshop (TAE), NeurIPS 2026
- Beyond “AI Helps Humans”: Decision-Targeted Evaluation Design for Human–Agent Teams in the Agentic Era Human–AI Coevolution Workshop (HAIC), NeurIPS 2026
- Certified Corruption Budgets: Anytime-Valid Leaderboard Claims under Adaptive Rigging arXiv preprint arXiv:2610.10597, 2026
- Rank Confidence Sequences: Anytime-Valid Leaderboards arXiv preprint arXiv:2609.32211, 2026
- LLM-Observed Multi-Agent Maintenance with Amortized Reinforcement Learning Policies SSRN preprint, 2026
- Catching a Moving Subspace: Low-Rank Bandits Beyond Stationarity arXiv preprint arXiv:2605.20269, 2026
- KANGURA: Kolmogorov–Arnold Network-Based Geometry-Aware Learning with Unified Representation Attention for 3D Modeling of Complex Structures Manufacturing Letters, 2026 * Equal contribution — co-first authors.
- LNUCB-TA: Linear–Nonlinear Hybrid Bandit Learning with Temporal Attention arXiv preprint arXiv:2503.00387, 2025
- A Comprehensive Approach to CO2 Emissions Analysis in High-Human-Development-Index Countries Using Statistical and Time Series Approaches Sustainability, vol. 17(2), 2025
- A Data-Driven Sequential Learning Framework to Accelerate and Optimize Multi-Objective Manufacturing Decisions Journal of Intelligent Manufacturing, vol. 35(8), 2024
- Strategic Data Augmentation with CTGAN for Smart Manufacturing: Enhancing ML Predictions of Paper Breaks in Pulp-and-Paper Production Manufacturing Letters, vol. 41, 2024
- Predicting Suicidal Ideation, Planning, and Attempts among the Adolescent Population of the United States Healthcare, vol. 12(13), 2024
- A Cluster-Based Human Resources Analytics for Predicting Employee Turnover Using Optimized Artificial Neural Networks and Data Augmentation Decision Analytics Journal, vol. 11, 2024 † Corresponding author.
- Binary Gaussian Copula Synthesis: An LLM-Powered Data Augmentation Framework for Early Dialysis Prediction in Chronic Kidney Disease arXiv preprint arXiv:2403.00965, 2024
- An Improved Group Teaching Optimization Algorithm Based on Local Search and Chaotic Map for Feature Selection in High-Dimensional Data Expert Systems with Applications, vol. 204, 2022
Collaborations
- From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making The International Journal of Advanced Manufacturing Technology, vol. 137(9–10), 2025
- Predicting Firefighter Injury and Entrapment in Urban Firefighting Operations: An Investigation Into the Effectiveness of Modified Fire Time Stages and Machine Learning Health Science Reports, vol. 8(3), 2025
- Accelerating Material Discovery with a Threshold-Driven Hybrid Acquisition Policy-Based Bayesian Optimization Manufacturing Letters, vol. 41, 2024
- An Augmented Surprise-Guided Sequential Learning Framework for Predicting the Melt Pool Geometry Journal of Manufacturing Systems, vol. 75, 2024
- Prediction of Complicated Ovarian Hyperstimulation Syndrome in Assisted Reproductive Treatment Through Artificial Intelligence medRxiv preprint, 2024