Semiha Ergan

About

Professor Semiha Ergan is recognized for her contributions to urban science and education at NYU Tandon School of Engineering. She has been awarded the University Distinguished Teaching Award, highlighting her excellence in teaching. Her work is associated with the Center for Urban Science + Progress (CUSP), an interdisciplinary center dedicated to applying science, technology, engineering, math, and social sciences to urban communities. While the specific details of her research focus are not explicitly described in the provided text, her recognition and involvement with CUSP suggest her engagement in urban data science, innovative urban solutions, and possibly in areas related to urban health, infrastructure, and environmental concerns. Her contributions are part of a broader effort to develop data-driven approaches that improve urban quality of life and address socioeconomic, environmental, and infrastructural challenges.

Research topics

• Computer Science
• Artificial Intelligence
• Machine Learning
• Computer vision
• Psychology
• Human–computer interaction
• Cartography
• Engineering
• Geography

Selected publications

• Towards emotionally intelligent buildings: A Convolutional neural network based approach to classify human emotional experience in virtual built environments

  Advanced Engineering Informatics · 2023 · 29 citations

  Senior authorCorresponding
  DOI

• Evaluating the effectiveness of biometric sensors and their signal features for classifying human experience in virtual environments

  Advanced Engineering Informatics · 2021 · 28 citations

  Senior authorCorresponding
  DOI

• Estimating power demand shaving capacity of buildings on an urban scale using extracted demand response profiles through machine learning models

  Applied Energy · 2022 · 26 citations

  Senior authorCorresponding
  DOI

• Quantification of the impact of street design features on restorative quality in urban settings

  Sustainable Cities and Society · 2025-02-13 · 12 citations

  articleSenior author
  PublisherDOI

• An AprilTags-Based Approach for Progress Monitoring and Quality Control in Modular Construction

  Buildings · 2024-07-22 · 11 citations

  articleOpen access

  Traditional approaches to modular construction progress monitoring and quality control with stringent and tight tolerances for on-site and off-site assembly processes are usually based on 3D laser scanning, but the high equipment costs associated with acquiring point clouds have economic ramifications. This paper provides the details of a new and inexpensive method through the integration of AprilTags and an ordinary phone. By using AprilTags instead of QR codes to label modules, progress manage…

  PublisherOA PDFDOI

Recent grants

• FMSG: ARM4MOD: AI-powered and Robot-assisted Manufacturing for Modular Construction

  NSF · $500k · 2021–2025

Frequent coauthors

• Reza Akhavian

  San Diego State University

  36 shared

• Fei Dai

  36 shared

• Burcu Akinci

  Carnegie Mellon University

  28 shared

• Amir H. Behzadan

  Texas A&M University

  25 shared

• Zhengbo Zou

  University of British Columbia

  21 shared

• Jing Du

  University of Florida

  20 shared

• Eric Du

  West Virginia University

  16 shared

• Xinran Yu

  Guangzhou Institutes of Biomedicine and Health

  12 shared

Labs

• Building Informatics and Visualization LabPI

  We innovate solutions for the operational challenges associated with construction and operation of facilities and infrastructure systems in urban settings.

Awards & honors

• DARPA Young Faculty Award (2015)
• Berkman Faculty Award, Carnegie Mellon University (2013)
• Outstanding Teaching Assistant Award, Carnegie Mellon Univer…
• Winner of Association for Advancement of Cost Engineering (A…
• Higher Education Council Doctoral Student Scholarship (2003-…

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• Kyunghyun Choh-90
• Gérard Ben Aroush-53