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Human-Building Interaction | Adaptive Environments

We study human-building interaction and seek to enable intelligent symbiotic interactions between humans and environments for efficiency and resilience.

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Measuring and developing machine learning models for human dynamics' quantifications in HBI applications.

Image by Oscar Nord
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NEWS

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  • Tianzhi He successfully defended his M.Sc. thesis in December 2020. Congratulations!

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  • INFORM Lab received a grant from the Department of Transportation FRA to develop Artificial Intelligence tools for infrastructure monitoring. 

 

  • Milad Afzalan successfully defended his Ph.D. dissertation in June 2020. Congratulations Dr. Afzalan!

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  • Milad Afzalan successfully defended his thesis for M.Sc. in computer science in June 2020. Congratulations!

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  • INFORM Lab received a grant to explore how smart building systems and mobile robots could facilitate viral exposure quantification and mitigation. [May 2020]

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  • Farnaz Khaghani successfully defended her Ph.D. dissertation in May 2020. Congratulations Dr. Khaghani!

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  • Farnaz Khaghani successfully defended her thesis for M.Sc. in computer science in May 2020. Congratulations!

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  • Wooyoung Jung successfully defended his Ph.D. dissertation in March 2020 and will be graduating this May. Congratulations Dr. Jung!

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  • As part of an INFORM Lab NSF project, Wooyoung Jung is conducting research at Lawrence Berkely National Lab as a visiting researcher.​

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Announcement

[Updated in June 2024] Available Positions: The following positions are available:

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  • Ph.D. student positions

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  • The positions are available and students could start as soon as possible starting Spring 2025 and Fall 2025.

    • Familiarity with programing and machine learning concepts will be a plus. ​

  • If you are interested, please contact Dr. Jazizadeh and see Prospective Team Members page.

  • MSc applicants are also encouraged to contact Dr. Jazizadeh if they are interested in joining the INFORM Lab team.

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Adaptive Environment Realization

Infrastructure Operational Analytics

Self-Configuring Algorithm for CPS

Participatory Sensing Networks in Urban Management

Built Environment Information Modeling

Built Environment Monitoring and Control

 

Tel: 5402317144

Email: jazizade@vt.edu

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200 Patton Hall, 750 Drillfield Dr. 

Blacksburg, VA 24061

 

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INFORM

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