Home

Qing Yang
Department of Computer Science and Engineering
Discovery Park, University of North Texas, Denton, TX 76207-7102
Email: qing.yang [at] unt.edu Tel: (940)-565-4899

About
Qing Yang, Ph.D, is an assistant professor in the Department of Computer Science and Engineering at University of North Texas, TX. He received his Ph.D degree in Computer Science and Software Engineering from Auburn University, AL, USA in 2011. His current research interests include connected and autonomous vehicles, Internet of Things, network security and privacy. His research is funded by the U.S. National Science Foundation, U.S. Federal Highway Administration, Office of Naval Research, Toyota InfoTech Inc., Fujitsu Laboratories of America Inc., and the University of North Texas Office of the Vice President for Research and Innovation.


    

News

[Oct 2020] Glad to be appointed as the PACCAR Distinguished Fellow of the College of Engineering at UNT. This appointment recognizes rising star tenure and tenure track assistant and associate professors at UNT for their accomplishments in research and scholarly activities.

[Oct 2020] Our research was reported by University of North Texas Research and Innovation, UNTToday, COE News, News Break, the Partnership for Transportation Innovation and Opportunity (PTIO), ScienceX, Denton Record-Chronicle, and Statescoop.

[Sept 2020] NSF awarded our project on "EAGER: SaTC: Privacy-Preserving Convolutional Neural Network for Cooperative Perception in Vehicular Edge Systems," PI, $99,948.

[Aug 2020] Sincere appreciation to my students who have worked endlessly, even during the COVID-19 period. With masks and social distancing, we are still making progress on our research on connected and autonomous vehicles.

[Aug 2020] Our research was reported by AutonomouStuff, the world's leading supplier of components and services that enable autonomy, as a case study in the article "Researchers at the University of North Texas are investigating novel ways to expand the capabilities of sensor-based perception systems fundamental to autonomous vehicle operation. "

[Jul 2020] NSF awarded our project on "CyberTraining: Implementation: Small: Collaborative and Integrated Training on Connected and Autonomous Vehicles Cyber Infrastructure," PI, $499,438.

[Jul 2020] Congratulations to Jingda Guo and Xu Ma for their papers "SPANet: Spatial Pyramid Attention Network for Enhanced Image Recognition" receives the Best Student Paper Award in IEEE ICME 2020.

[Jul 2020] Our research project on cooperative perception for connected and autonomous vehicle was reported by UNT in the news " Researcher says autonomous vehicles that 'talk' to each other could solve industry's problems."

[Jul 2020] On July 1st, 2020, Qi Chen defended his dissertation to earn his doctoral degree! Congrats, Dr. Chen!

[Jun 2020] NSF awarded our project on "Collaborative Research: Enabling Machine Learning based Cooperative Perception with mmWave Communication for Autonomous Vehicle Safety," PI, $246,518.

[May 2020] Our paper "SPANet: Spatial Pyramid Attention Network for Enhanced Image Recognition" was nominated as a candidate for Best Student Paper Award in IEEE ICME 2020, London, UK.

[May 2020] Our paper "OpinionRank: Trustworthy Website Detection using Three Valued Subjective Logic" is accepted by the IEEE Transactions on Big Data.

[Mar 2020] Our research on intelligent mobility systems is reported by The North Texan - UNT Alumni Magazine - Spring 2020 (pp. 36 - 37).

[Feb 2020] Dominic Carrillo (Ph.D student) and our autonomous vehicle were featured on CBS in the "University of North Texas to Offer First Masters Degree in Artificial Intelligence in Texas." Autonomous systems is an important concentration offered in the new AI Master program at UNT.

[Feb 2020] Dr. Qing Yang visits the Turner-Fairbank Highway Research Center to discuss collaboration opportunities with the Cooperative Automation Research Mobility Applications (CARMA) program .

[Jan 2020] Dr. Qing Yang is invited to serve on the editorial board of IEEE Internet of Things Journal.

[Nov 2019] Our paper "F-Cooper: Feature based Cooperative Perception for Autonomous Vehicle Edge Computing System using 3D Point Clouds" won the Best Paper Award from the 4th ACM/IEEE Symposium on Edge Computing, Washington DC, November 7-9, 2019

[Oct 2019] Dr. Qing Yang is selected for the UNT Washington DC Fellows Program (one from each college in UNT).

[Sept 2019] Researchers from Fujitsu Laboratories of America Inc., including Tadashi Ikeuchi, Paparao Palacharla, Xi Wang and Nannan Wang, visited the CAV lab @ UNT on Sept 17th, 2019. The main goal of this visit is to explore a long-term collaboration between the CAV lab and Fujitsu Laboratories of America Inc.

[Sept 2019] Drs. Song Fu and Qing Yang are invited to give a talk at TexITE meeting to present our recent research works on CAV to a group of traffic engineers in the DFW area.

>>>All News