Education
- Ph.D., University of New Mexico, 2003
- M.S., University of New Mexico, 2002
- M.S., Fudan University, 1999
- B.S., Fudan University (China), 1996
Courses
- Data Sciences
- Machine Learning
- Computer Security
- Computer Networking
- Data Mining
- Data Structures and Algorithms
- Computer Organization and Architecture
- Programming for Engineers
Biography
Wenbin Luo, Ph.D., received a bachelor’s and master’s degree in Electrical Engineering from Fudan University in Shanghai, China, in 1996 and 1999, respectively. He received a second master’s degree in Statistics and a Ph.D. in Computer Engineering from the University of New Mexico in 2002 and 2003, respectively. In addition, he received the Stanford University Advanced Computer Security Certificate and Software Security Foundations Certificate.
Some of Luo’s accolades include earning the 2001 Outstanding Graduate Student Award at the University of New Mexico and the 2008 Distinguished Faculty Award at St. Mary’s University. A St. Mary’s engineering department faculty member since 2003, Luo is an active researcher and has published numerous peer-reviewed research papers. He received the best paper award at 24th International Conference on Computers and Their Applications.
Luo is a reviewer for many leading research journals and conferences, and served as an Associate Editor for the International Journal on Computers and Electrical Engineering. He was the Publication Chair of IEEE SoSE08, SoSE09, and SoSE13, and the Program Co-Chair of IEEE SoSE15. Dr. Luo is currently the Faculty Advisor to the IEEE St. Mary’s student branch that won the first place in 2023 IEEE R5 Robotics Competition in Denver, Colorado. The IEEE StMU student branch received 2016 IEEE Region 5 Outstanding Small Student Branch Award. A StMU team ranked top 11% worldwide in 2017 IEEEXTREME Programming Competition and ranked No. 26 among 207 teams from U.S.A.
Luo is an IEEE senior member and a member of Eta Kappa Nu honorary society of engineering and Kappa Mu Epsilon honorary society of mathematics. He is an Oracle Certified Professional (OCP), a Senior Level Linux Professional (LPIC-3), a Novell Certified Linux Administrator (Novell CLA), a Ubuntu Certified Professional (UCP), and a Certified LabVIEW Associate Developer (CLAD). Luo enjoys writing code in a variety of programming languages, including C/C++, Java, Python, OCaml, Racket, Processing, Julia, Scratch, MATLAB, and RISC-V assembly etc.
Publications
Y. Zhang and W. Luo, Vector-based Efficient Data Hiding in Encrypted Images via Multi-MSB Replacement. IEEE Transactions on Circuits and Systems for Video Technology. 32(11): 7359-7372, 2022.
K. Chen, Y. Meng, G. Zhang, K. Zhu, and W. Luo, “The Transfer of Film Style Based on Meta-Learning,” Proceedings of the 2019 International Conference on Artificial Intelligence and Computer Science (AICS 2019), pp. 616-620, Wuhan, Hubei, China, July 12-13, 2019 (ISBN: 978-1-4503-7150-6).
J. R. Martinez and W. Luo, Foxes and Chickens: An Android Game, Proceedings of 25th International Conference on Computer Applications in Industry and Engineering (CAINE–2012), New Orleans, Louisiana, November 14–16, 2012, pp. 115-120
W. Luo. Network Security, Threats, Authentication, Authorization, and Securing Devices. Process Software and Digital Networks, Volume III, editor Dr. Halit Eren, CRC Press (Taylor & Francis Group), ISBN: 978-1-4398-1776-6, pp. 506-516, 2011
S. Echegaray, G. Zamora, H. Yu, W. Luo, P. Soliz, R. Kardon. Automated Analysis of Optic Nerve Images for Detection and Staging of Papilledema. Investigative Ophthalmology and Visual Science (IOVS), 52: 7470-7478, September 2011.
D. Dang and W. Luo. Color Image Noise Removal Algorithm Utilizing Hybrid Vector Filtering. International Journal of Electronics and Communications, 62: 63-67, 2008.
D. Dang and W. Luo. Impulse Noise Removal Utilizing Second-Order Difference Analysis. Signal Processing, 87: 2017-2025, 2007.
W. Luo. Penalized minimum matching distance guided EM algorithm. International Journal of Electronics and Communications, 60: 235-239, 2006.
W. Luo. An efficient detail-preserving approach for removing impulse noise in images. IEEE Signal Processing Letters, 13:7, pp. 413-416, July 2006.
W. Luo. A comment on `Transient Analysis of Energy Equation of Dynamical Systems. IEEE Transactions on Education. 48:562-563, 2005.
W. Luo. A comment on `Estimating the Standard Deviation from Extreme Gaussian Values’. IEEE Signal Processing Letters. 12:109-111, 2005.
W. Luo and G.L. Heileman. Improved exponential hashing. IEICE Electronics Express. 1:150-155, 2004.