Urban intelligence should automatically adapt to humans and provide sustainable environments. Increasingly so, humans interact with urban systems in everyday life, generating unprecedented amounts of data through computing and sensing systems. The HubiLab is directed by Prof. Park, we use smart technologies and data-driven solutions to 1) understand the human interactions with the built environment, and 2) develop human-centric systems to further address infrastructure challenges in cities.

Check our publications to learn more about our research!


  • [11.2020] Presenting our OCC case studies at Indoor Air 2020
  • [11.2020] Chairing RLEM workshop (in conjunction with ACM BuildSys’20) with Prof. Nagy (UT-Austin), Prof. Berges & Bingqing (CMU).
  • [09.2020] Guest editing Special issue in JBPS together with Prof. Gunay (Carleton) & Prof. Ouf (Concordia).
  • [07.2020] Want to know more about occupant-centric control? Check Prof. Park’s talk on Youtube!


The HubiLab is looking for motivated, talented and exceptional students to join our growing research team.

Successful candidates will have interest and skills in the following:

  • human behavior and comfort
  • smart and sustainable buildings
  • urban intelligence and informatics
  • machine learning and data analytics
  • programming skills (Python, Matlab, R)
  • electronics (sensors, actuators, networks)
  • and/or show your passion in this field 🙂

UTA (grad. & undergrad.) Students: If you are interested in doing research in the HubiLab, please contact Prof. Park directly. All majors welcome!

Prospective Graduate Students: If you want to pursue your Master/Ph.D. degree in the HubiLab, please contact Prof. Park with your CV and research idea. You should apply for admission to the Department of Civil Engineering and indicate in your statement of purpose that you are interested in working with Prof. Park.


June Young Park, Ph.D.
office: ERB 454
other links:

Human & Urban Intelligence Lab
Department of Civil Engineering
The University of Texas at Arlington