News: Tenured since May 15th 2017
- Associate Professor, Lane Department of Computer Science and Electrical Engineering, West Virginia University (08/2017 - now)
- Assistant Professor, Lane Department of Computer Science and Electrical Engineering, West Virginia University (08/2012 - 08/2017)
- Adjunct Assistant Professor, Department of Forensic and Investigative Science, WVU (since Sept. 2014)
Adjunct Assistant Professor, School of Medicine, Dept. of
Ophthalmology, Eye Institute, WVU, (since Feb. 2013)
- Adjunct Assistant Professor, Department of Chemical Engineering, WVU, (since 2017)
After earning his Ph.D. in face recognition and completing a post-doctoral appointment at the University of Surrey (U.K.), Bourlai completed a second post-doc in a joint project between Methodist Hospital and the University of Houston, in the fields of thermal imaging and human-based computational physiology. He joined the staff at WVU in 2009 serving as a visiting professor, research assistant professor and later as a tenure track assistant professor in the Lane Department until mid 2017.
Bourlai served and has been invited to serve as chair at a number of biometrics conferences including ICB, BTAS, IJCB, FG, SPIE, ISS World Americas, IDGA, ACI and the Biometrics Institute. He has served as a member on technical program committees for other primary computer vision- and biometrics-focused conferences. Several governmental agencies, organizations and academic institutions have invited Bourlai to present his work, including the CIA, NSA, U.S. Secret Service, U.S. Army (various divisions), FBI, Amazon, SRC, Biometrics Institute, NLETS, IDGA, the Biometrics Summit Conference, the IEEE Signal Processing Society, University of Notre Dame, University of Pittsburgh, Rutgers University and the University of Newcastle (UK). He is also a reviewer for a number of premier journals in computer vision, biometrics and related areas (i.e., TPAMI, TIFS, IJCV, TCSVT, PRL, TIP, MVA).
ResearchThe primary focus of Bourlai’s research is on designing and developing technology for supporting, confirming and determining human identity in challenging conditions using primarily face images, captured across the imaging spectrum (including ultraviolet, visible, near-infrared, short-wave IR, mid-wave IR and long-wave IR) and secondarily, other hard or soft biometrics including iris, fingerprints, ears and tattoos. Additionally, he has worked on liveness detection problems using face and pupil dynamics; mobile biometrics; multi-spectral eye and pupil detection; and matching mugshots from government ID documents (e.g. passports or driver’s licenses) to live face images, which includes the development of image restoration techniques to recover the original mugshot behind the watermarks. Bourlai has collaborated with experts from academia, industry and the government on projects that involve the collection of various biometric data (including multi-spectral face images, irises and tattoos) and the design and development of biometric- and forensic-based algorithms that can support law enforcement and military operations.
- Human Computer Interaction and Programming
(LCSEE 500 and 400 Level Course. Offered to both Graduate and
Undergraduate Students) - 2015, 2014, 2013, 2012, 2011 and 2010
- CS 677 - Pattern Recognition (LCSEE - Core
Course, Graduate): 2012 - 2019 (every year)
- Computer Systems Security (LCSEE - 500 Level
Graduate Course) - 2011
- BMEG 310 - Biomedical Imaging (ChemEng.
Department, Offered to Undergraduate Students) - 2015, 2016
- BMEG 393A - Biomedical Imaging Labs, part of
the Biomedical Engineering Course (ChemEng. Department, Offered to
Undergraduate Students): 2015 - 2018 (every year)
- BIOM 426 - Biometric Systems: 2018