Skip to main content
Burcu Akinci -

Burcu Akinci

Department Head and Professor, Civil and Environmental Engineering

Burcu Akinci focuses on emerging energy technologies and using AI to monitor energy use.

Expertise

Topics:  Artifical Intelligence, Climate-resilient Environmental Systems and Technologies, Grid-interactive, High-performance, and Electrified Buildings, Computer-Aided Design (CAD), Cyberphysical Systems (CPS), Energy, Computer Vision, Advanced Infrastructure Systems, Civil Engineering, Smart Infrastructure, Information and Communication Technology (ICT)‎, Intelligent Engineered Systems and Society, Construction & Building Technology, Sustainable Energy and Transportation Systems, Emerging Energy Technologies

Industries: Construction - Commercial, Education/Learning, Electrical/Electronic Manufacturing, Energy

Burcu Akinci is the head of the Department of Civil & Environmental Engineering at Carnegie Mellon University. Her research interests include development of approaches to model and reason about information-rich histories of facilities, to streamline construction and facility management processes. She specifically focuses on investigating utilization and integration of building information models with data capture and tracking technologies, such as 3D imaging, and embedded sensors and radio-frequency identification systems to capture semantically-rich as-built histories of construction projects and facility operations.

She earned her B.S. in civil engineering (1991) from Middle East Technical University and her M.B.A. (1993) from Bilkent University at Ankara, Turkey. After that, she earned her M.S. (1995) and her Ph.D. (2000) in civil and environmental engineering with a specialization in construction engineering and management from Stanford University.

Akinci has one patent, two patent applications, more than 60 referred journal publications, and 80 refereed conference publications. She co-edited a book on CAD/GIS integration and another book on embedded commissioning. She has graduated more than 16 Ph.D. students and 15 M.S. thesis students, and is currently advising/co-advising four Ph.D. students.

Media Experience

Western Pa. utilities use drones and other robots to make inspections safer, more efficient  — 90.5 WESA
Drones are an ideal technology for utility inspections, according to Burcu Akinci, professor of civil and environmental engineering at Carnegie Mellon University. With poles and wires distributed over miles, human inspection takes time. With drones, “you get this bird’s eye view with data and imagery. And data that is very difficult to get in any other way.”

How Carnegie Mellon University champions women in engineering  — Study International
Burcu Akinci attributes her interest in engineering to several factors, but being raised by a woman engineer is undoubtedly high on the list. Today, Akinci is the Paul Christiano Professor of Civil and Environmental Engineering at Carnegie Mellon University (CMU), where she guides the next generation of women in engineering.

Education

Ph.D., Civil and Environmental Engineering, Stanford University
M.S., Civil and Environmental Engineering, Stanford University
MBA, Bilkent University
B.S., Civil Engineering, Middle East Technical University

Spotlights

Accomplishments

ASCE Distinguished Member (2025)

Affiliations

Manufacturing Futures Institute

Pennsylvania Smart Infrastructure Incubator

Links

Articles

Pruning Bayesian networks for computationally tractable multi-model calibration  —  Frontiers in Aerospace Engineering

Digital Twin Technologies for Autonomous Environmental Control and Life Support Systems  —  Journal of Aerospace Information Systems

Updating subsystem-level fault-symptom relationships for Temperature and Humidity Control Systems with redundant functions  —  Journal of Space Safety Engineering

FSBrick: an information model for representing fault-symptom relationships in heating, ventilation, and air conditioning systems  —  Data-Centric Engineering

Lessons learned on the implementation of probabilistic graphical model-based digital twins: A space habitat study  —  Journal of Space Safety Engineering

Patents

Photos

Videos