RESEARCH
St Louis, MOPHOTO COURTESY OF MEHDI ASHAYERI
Research Initiative/Project @ URBiiLAB
PROJECT 013
IntcegrativeSentiment.io (IS.io)
A Web-based App for Modeling Human Feedback Based on Digital Media
- Info
- Software
- Poster
- Presented as Lecture/Workshop at the Workshop #2 in the Joint SimAUD and ANNSIM Conference, San Diego, CA, July 17th, 2022 @ 1-4:00 PM
- Presented as Lecture/Workshop at the Graduate School of Public Administration (GSPA), Seoul National University (SNU), Seoul, South Korea, Oct. 20th, 2022 @ 10-12:00 PM.
- Presented as Lecture/Workshop at the Augmented Intelligence and Performance class, School of Architecture, University of Washington at Seattle, December 1st, 2022 @ 1-3:00PM PT.
PROJECT 012
An Interactive Digital Platform for Promoting Community Health Resilience
Integrated Sensing, Big Data, Deep Learning, and Augmented Reality Approach
PROJECT 011
Post-Pandemic Teleworking
Challenges and Opportunities for Developing Live-Work Spaces
PROJECT 010
Evaluating Occupant Feedback on Eenrgy and Indoor Environmental Quality Due to COVID-19 Stay-at-Home
An integrated Natural Language Processing (NLP) and Emotion–Artificial Intelligence Approach Using Social-Media Data
- Presented in part at Livable Cities, A Conference on Issues Affecting Life in Cities organized by AMPS (Architecture, Media, Politics, Society) at New York City, Thursday June 15th, 2023 @ 8:00PM - 9:30 PM ET, Track 2, Healthy Cities iv session; titled "Evaluating Spatial Disparities of Occupant Sentiment on Indoor Air Quality Across Communities in NYC Using Twitter Data, NLP, and Emotion-AI Approaches"
- Pre-print published at Research Square, 2022, "Evaluating Occupant Feedback on Indoor Air Quality Perception During Covid Stay-at-home Using Social Media Data: A Nationwide Study in the U.S" (link).
- Journal article published at Fortune Journal of Environmental Science and Public Health, 2024, "Exploring U.S. Occupant Perception Toward Indoor Air Quality Via Social Media and NLP Analysis" (link).
- Book Chapter published at Wiley, 2024, "Decoding Global Indoor Health Perception on Social Media Through NLP and Transformer Deep Learning", (link).
- Journal article published at Elsevier Journal of Energy & Buildings, 2024, "Unraveling energy justice in NYC urban buildings through social media sentiment analysis and transformer deep learning" (link).
PROJECT 009
An Integrated Framework for Health-driven Urban Building Energy Modeling (H-UBEM)
A Hybrid Data-driven and Physics-based Approach
PROJECT 008
EquitableResilince.io (ER.io): COVID-19 Pandemic and Equitable Resilience
Exploring Occupancy, Energy, and Health Disparities Using Smart data
PROJECT 007
iEnEx: A framework for Integrated Energy and Exposure to Ambient Pollution Assessment
Toward Low-carbon, Healthy, and Equitable Cities
Tool, 2021
Article published at the Elsevier Journal of Sustainable Cities and Society, 2021
Presented at the SIU Global Solutions Teach-In, Smart Cities 2 Session, March 30th, 2022
PROJECT 006
NVResilience.io: A Web-based Tool for Exploring Natural Ventilation Implications on Community Social and Health Resilience Against Airborne Particles and Viruses
An Envisioning for Healthy and Equitable Cities
PROJECT 005
A Decision-support Design Framework for Integrated Energy Efficiency and Exposure Modeling for Context-Sensitive Natural Ventilation
A Hybrid Physics-based and Data-driven Approach
PROJECT 004
SDCA: A Generative Parametric Tool for Solar-driven DesignEarly-Stage Context-sensitive Urban Building Design Using Cellular Automata
PROJECT 003
Understanding Indoor to Outdoor PM2.5 Transport via Changes in Human Activity Patterns
Lessons from COVID-19 Pandemic
PROJECT 002
Autonomous Local PM2.5-Congestion Detection
Integrated UAV, Imagery, and Deep Learning Approach
PROJECT 001
IBEND: Intelligent Building Enclosure Energy-Leak Detection
Integrated UAV-assisted Thermal Imagery and Deep Learning Approach
