Focuses on applications of state-of-the-art machine learning techniques in mechanical engineering, covering fundamentals of probability and statistical learning theory. Requires basic/intermediate-level Python programming.
Fall 2023Fall 2022Fall 2021Fall 2020
MEE 472 / 672 — Building Energy Systems
Analysis, design, and optimization of building mechanical systems including HVAC, lighting, and renewable energy systems. Covers energy modeling, simulation tools (EnergyPlus, eQUEST), and building performance standards. Graduate students complete an additional research component on advanced control strategies.
Spring 2024Spring 2023Spring 2022
MEE 573 — Advanced Building Energy Systems
Graduate-level course covering advanced topics in building energy research: physics-informed machine learning for building simulation, occupant behavior modeling, building-to-grid integration, and emerging technologies in smart buildings. Emphasis on current research literature and student projects.
Spring 2021Spring 2020Spring 2019
MEE 412 — Thermodynamics II
Advanced thermodynamics for mechanical engineering students. Topics include gas power cycles, refrigeration and heat pump systems, psychrometrics, and combustion. Applications to energy systems engineering and sustainability.
Academic Service
Professional Activities
Editorial Roles
—Associate Editor, Energy and Buildings (Elsevier)
—Associate Editor, Building Simulation (Springer)
—Guest Editor, Applied Energy — Special Issue on Occupant Behavior
Committee & Society Roles
—ASHRAE Technical Committee TC 4.2 — Climatic Information
—IBPSA World Fellow, Board Member
—IEA EBC Annex 79 — Occupant-Centric Building Design