{ news }
– 05/2026: Three papers accepted at IBPSA-USA SimBuild 2026 and ACEEE Summer Study on Energy Efficiency in Buildings 2026, on explainable AI for building energy benchmarking, probabilistic retrofit impact modeling, and data-driven retrofit decision support.
– 01/2026: Journal paper accepted — Analyzing Inference Workloads for Spatiotemporal Modeling in Future Generation Computer Systems (2025).
– 01/2026: Two new projects started as Task Lead : Operationalizing AI for Enhanced Permitting Processes (US DOE GDO) and LLM Model Pipeline for Building Semantic Modeling (US DoD).
– 11/2025: Poster presentation on AI-Enabled Operations at Fermi Complex: Multivariate Time Series Prediction for Outage Prediction and Diagnosis at AAAI Workshop on Artificial Intelligence for Time Series Analysis 2025.
– 04/2025: Poster presentation on Deep Reinforcement Learning to Maximize Arterial Usage During Extreme Congestion at AAAI Workshop on Artificial Intelligence for Urban Planning 2025.
– 04/2025: Poster presentation on pyMOODS: Enabling Informed Decision Making for Energy-Infrastructure Design at Scale at INFORMS Analytics 2025 Conference.
– 07/2023: Poster presentation on An ML Framework to Deconstruct the Primary Drivers for Electricity Market Price Events at 2023 IEEE PES General Meeting in Orlando, Florida.
– 05/2023: Oral presentation on Artificial Intelligence for Improved Facilities Operation at 26th International Conference on Computing in High Energy & Nuclear Physics in Norfolk, Virginia.
– 02/2023: Poster presentation on Training Machine Learning Models to Characterize Temporal Evolution of Disadvantaged Communities at 2023 AAAI Workshop on Artificial Intelligence for Social Good in Washington D.C., USA.
– 01/2023: Promoted to Data Scientist III at Pacific Northwest National Laboratory.