News

Publications

Minute-Level Dataset from a Naturally Ventilated Building for Benchmarking and Learning-Based Modeling
Sunghwan Lim, Ali Malkawi, Sang Won Kang, Gulai Shen, Yiwei Lyu, Peter Howard
Nature Scientific Data, 2025 (Under Review)
Asynchronous Multi-agent Reinforcement Learning for Coordinated Control of Natural Ventilation and Radiant Cooling
Elence Xinzhu Chen, Ali Malkawi, Holly Samuelson, Gulai Shen, Na Li
Energy and Buildings, 2025 (Under Review)
Human Building Interaction Through Large Language Model
Gulai Shen, Yuqi Wang, Gurpreet Singh, Ali Mehmani
(Under Review)
Gulai Shen, Ruixiao Yang, Ahmed S. Alahmed, Chuchu Fan
IEEE Transactions on Smart Grid, 2025 (In Press)
Honglin Li, Gulai Shen, Soroush Senemmar, Ali Mehmani, Jie Zhang
Cell Reports Sustainability, 2025
Gulai Shen, Ruixiao Yang, Ahmed S. Alahmed, Chuchu Fan
IEEE PESGM, 2025
Gulai Shen, John J. Gilbert, Ali Mehmani
Building and Environment, 2025
Amir Behjat, Gulai Shen, Gurpreet Singh, Gerald Toge, Ali Mehmani
ACEEE Summer Study, 2024
Gulai Shen, Hongling Li, Gurpreet Singh, Amir Behjat, Gerald Toge, Souroush Senemmar, Cong Feng, Jie Zhang, Ali Mehmani
ACEEE Summer Study, 2024
Gulai Shen, Zachary E. Lee, Ali Amadeh, K. Max Zhang
Energy and Buildings, 2021

Academic Community

INFORMS Annual Meeting, 2025

Invited Presenter, Presentation topic: Optimizing Building Operations Using Data and AI. Link to the presentation

Harvard GSD DDes Conference, 2025

Organizer and panel host for the Harvard GSD DDes Conference 2025. Full event replay

ASME International Design Engineering Technical Conferences (IDETC), 2025

Session Chair for DAC-05-Design and Optimization of Energy Systems

Northeast Systems and Control Workshop (NECSW), 2025
Building and Vehicle Air Environment (BVAE) Seminar of Young Scholars, 2025

Presenter, Presentation topic: Optimizing Building Operations Using Data and AI. Link to the presentation

Building Performance Software: Portfolio-Level Capabilities and Applications, 2024

My work at NANTUM AI contributed the LBNL paper that outlines the state of energy management information systems’ capabilities on decarbonization and energy efficiency. Link to the paper

Princeton Energy Conference, 2022

Industry guest and panelist

AEE World Conference, 2022

Presenter, Presentation topic: Using AI for Anomaly Detection, Carbon Tracing, Energy Savings & More.

Field Validation of a Building Operating System Platform, 2022

Acknowledged contribution and technical support for this project. Link to the paper

Evaluating the Performance of HVAC Optimal Control Based on Real-time Floor-by-Floor Occupancy Data, 2022

Acknowledged contribution and technical support for this project. Link to the paper

Paper Reviews

Journals:

  • Solar Energy

Conferences:

  • NeurIPS UrbanAI 2025
  • ICML CO-BUILD 2025
  • IEEE PESGM 2025
  • ACEEE Summer Study 2024
  • ASME IDETC 2021 - 2025
Teaching Experience

Instructor:

  • Havard, Data and AI in Building Operation and Management, Winter 2026

Teaching Fellow:

  • Harvard, SCI 6125: Building Simulation, Spring 2026
  • Harvard, SCI 6126: Materials, Spring 2026
  • Harvard, SCI 6121: Environmetal Systems, Fall 2025
  • Harvard, SCI 6492: Quantitative Aesthetics : Introduction to Machine Learning and Perceptual Machines for Design, Fall 2025

Teaching Assistant:

  • UIUC, TAM 251: Solid Mechanics, 2017-2018
  • UIUC, TAM 211: Statics, 2016-2017

In the Press

What Is Best Time To Consume Electricity, Cut Carbon Emissions, 2025

My paper titled Real-Time Greenhouse Gas Emission Intensity Informed Demand-Side Load Regulation for Power Grid Decarbonization publsihed on Cell Reports Sustainability is featured as a news story at UT Dallas News Center.

It's a Controls Problem, 2025

Invited podcast speaker on the topic of Data, AI, and the Next Chapter in Building Automation. Listen on Spotify Listen on Apple Podcasts Listen on YouTube

Solar Eclipse Insights on the Grid and Buildings, 2024

Author of NANTUM AI case study on the solar eclipse insights on the grid and buildings Link to the case study

Rudin ESG Report, 2024

My work at NANTUM AI was featured in the Rudin 2024 ESG Report for empowering Rudin buildings with actionable insights and automation that drive sustainable operations. Link to the report

JPMorgan Chase ESG Report, 2023

My work at NANTUM AI was featured in the JPMorgan Chase ESG Report 2023 that helped reduce energy use while maximizing thermal comfort and indoor air quality for occupants for JPMC corporate facilities. Link to the report

Jamestown Sustainability & Social Responsibility Report, 2023

My work at NANTUM AI was featured in the Jamestown Sustainability & Social Responsibility Report 2023 that saved $71,000 (260% ROI) at Waterfront Plaza (San Francisco, CA) in 2023. Link to the report

Experiences

Research Assistant

2024 - Present
Harvard Center for Green Buildings and Cities, Harvard University
  • Researching and developing learning-based intelligent systems to building systems.
  • Researching and developing interactive occupant-centric smart controls algorithms.
  • Facilitating operation and performing analysis on Harvard HouseZero.

Research Scientist, Lead AI Research

2020 - 2024
Nantum AI, New York
  • Researching and developing ML, AI applications for building and portfolio (JPMC, GSA, Blackrock, Rudin, etc.) carbon measurement, decarbonization, carbon procurement, and carbon accounting.
  • Developing and managing real-time occupancy-driven optimal Building Control and Energy Conservation Application prototypes and products, for building controls using Data Science and Analytics, ML and AI.
  • Developing physics-informed ML modeling for building potential savings and Measurement & Verification. National Research Laboratory verified $28.7M In Potential Annual Energy Savings for GSA portfolio.
  • Performing and managing research on various smart-building related applications including Fault Detection Diagnostic, space utilization, occupancy sensing, etc.
  • Participating in industry challenges, conferences, and paper publications and reviews.

Research Assistant

2019 - 2020
Energy and the Environment Research Laboratory, Cornell University
  • Developed and Implemented IoT-sensor based hardware and software for smart building communities.
  • Led research projects on optimization related to smart building applications with water and other energy.
  • Led research projects on Grid-interactive buildings optimal scheduling and control applications.

Awards and Honors

  • 2024-2026 Harvard GSD Merit Grant Recipient
  • 2024-2026 Harvard GSD DDes Grant Recipient
  • 2025 Harvard GSD Student Conference Attendance Fund Recipient
  • 2024 The Daniel L. Schodek Fellowship Recipient
  • 2024 Blueprint Generative AI in Buildings Challenge Finalist
  • 2022 NYSERDA RTEM Challenge Finalist 9 out of 400+ groups
  • 2022 PropTech Challenge 1 of 5 Finalists
  • 2021 PropTech Challenge – NYSERDA Tenant Energy Data 2nd Place
  • 2014-2018 University of Illinois at Urbana-Champaign, Dean’s List
  • 2014-2018 Unviersity of Illinois at Urbana-Champaign, James Scholar
  • 2014 Euclid Mathematics Contest, top 25% worldwide
  • 2014 Meicun High School Zouwenhai Scholarship Award, 10 out of the class of 2014