Biography
Dr. Arvin Ebrahimkhanlou is an Assistant Professor in the Civil, Architectural and Environmental Engineering Department at Drexel University with a courtesy appointment in the Mechanical Engineering and Mechanics Department. He has received his Ph.D. from, and completed his post-doc at The University of Texas at Austin. Dr. Arvin’s research is in the area of robotic-based and Artificial Intelligence (AI)-based assessment of civil infrastructures as well as mechanical and aerospace structures. Dr. Arvin is specialized in robotics, artificial intelligence, machine learning, data analysis, signal processing, uncertainty quantification, computer vision, and wave propagation. The results of Dr. Arvin’s research have been published in more than 25 highly cited journal papers, more than 40 conference articles, and a U.S. patent. His scholarly efforts have had a quantifiable impact on the field and have been cited more than 1,000 times thus far. Dr. Arvin has a keen passion for teaching and has been recognized for his outstanding teaching performance. Dr. Arvin is a distinguished alumnus of Sharif University for obtaining his Bachelor’s degree with the highest honors, and is an active member of several professional societies, including ASCE, ASME, ASNT, SPIE, ACI, and AISC.
Degrees / Education
- PhD, Civil Engineering, The University of Texas at Austin, 2018
- MS, Computer Science, Georgia Tech, 2020
- MS, Civil Engineering, The State University of New York at Buffalo, 2015
- BS, Civil Engineering, Sharif University, 2011
Research Areas
Research Interests
Robotic-based and Artificial Intelligence (AI)-based Infrastructure Assessment; Computer Vision and Machine Learning for SHM/NDE; Internet of Things (IoT) and Mixed Reality (MR) for SHM/NDE; Wave Propagation (Guided Ultrasonic Waves); Acoustic Emission
Areas of Study
Academic Distinctions
- Outstanding Paper Award, American Society for Nondestructive Testing, 2022
- Most Cited Ultrasonics Article since 2017, Journal of Ultrasonics, 2020
- Best Research Article prize of the Journal of Aerospace, 2020
- Top 1% reviewer in cross-field, Publons, 2019
- Best Student Paper Award, 60th Acoustic Emission Working Group, 2019
- Structural Health Monitoring and Control Student Paper Competition, Third Place, EMI conference, 2018
- Fellowship, American Society for Nondestructive Testing, 2018 Fellowship Award, 2018
- Dean’s Prestigious Fellowship, The University of Texas at Austin, 2018
- John A. Focht Endowed Presidential Graduate Scholarship in Civil Engineering, The University of Texas at Austin, 201
- Phil M. Ferguson Endowed Presidential Scholarship in Civil Engineering, The University of Texas at Austin, 2016
- Dr. Tavakoli Prize (for highest B.Sc. GPA, class of 2011), Department of Civil Engineering, Sharif University, 2012
Select Publications
- Hamed Momeni, and Arvin Ebrahimkhanlou, “High dimensional data analytics for structural health monitoring: A review,” Smart Material and Structure 31, No. 4 (Mar. 2022), 043001 https://doi.org/10.1088/1361-665X/ac50f4
- Amir Hossein Asjodi, Kiarash M. Dolatshahi, Arvin Ebrahimkhanlou, “Spatial analysis of damage evolution in cyclic-loaded reinforced concrete shear walls” Journal of Building Engineering (accepted on Jan 09, 2022)
- Arvin Ebrahimkhanlou, Melanie B Schneider, Brennan Dubuc, Salvatore Salamone, “A deep learning framework for acoustic emission sources localization and characterization in complex aerospace panels”, Material Evaluation 79(4) (April 01, 2021) https://doi.org/10.32548/2021.me-04179 (2022 Outstanding Paper Award, American Society for Nondestructive Testing)
- Arvin Ebrahimkhanlou, Jongkwon Choi, Trevor Hrynyk, Salvatore Salamone, Oguzhan Bayrak, “Acoustic emission monitoring of containment structures during post-tensioning,” Engineering Structures 209 (15 April 2020): 109930, doi: 10.1016/j.engstruct.2019.109930
- Arvin Ebrahimkhanlou, Alireza Farhidzadeh, and Salvatore Salamone, “Multifractal analysis of crack patterns in reinforced concrete shear walls,” Structural Health Monitoring 15 no. 1 (2016): 81-92, doi: 10.1177/1475921715624502