Master of Science in Information Technology
Discussing Trends in Information Technology
IT Distinguished Colloquium Series provide an opportunity for faculty members of the department to share their research
and ideas with each other. This can lead to collaboration and new partnerships, as
well as sparking new research directions. Colloquia provide a forum for discussing
current topics and trends in the field. This can help keep everyone up-to-date on
the latest developments, and ensure that the department remains at the forefront of
the field. Colloquia can help develop critical thinking and presentation skills. By
presenting their research to their peers, members of the department can receive valuable
feedback and learn to better articulate their ideas.
Graduate students are highly encouraged to attend the IT Distinguished Colloquium Series. GRAs who is currently working with the professors are highly recommended to attend the colloquium.
Committee Chair: Dr. Liang Zhao
Committee members: Dr. Lihn Le, Dr. Ying Xie, Dr. Nazmus Sakib, Dr. Yixin Xie
Please find the past and future colloquia below.
IT DISTINGUISHED COLLOQUIUM SERIES, April 4, 2025, 12:30-1:30 P.M.(Dr. Qing Yang, University of North Texas)
Title: Machine Learning Enabled Cooperative Perception for Connected and Autonomous Vehicles
When: Friday, April, 2025, 1-2 p.m.
Where: J-101
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Abstract
By understanding what and how data are exchanged among autonomous vehicles, from a machine learning perspective, it is possible to realize precise cooperative perception on autonomous vehicles, enabling massive amounts of sensor information to be shared amongst vehicles. Such an advance can be extremely useful to extending the line of sight and field of view of autonomous vehicles, which otherwise suffer from blind spots and occlusions. This increase in situational awareness promotes safe driving over a narrow scope and improves traffic flow efficiency over an extended scope. Establishing cooperative perception among autonomous vehicles will not only change the way we think about the perception system on autonomous vehicles but could also open up opportunities to design novel systems that were previously inconceivable. The talk will focus on understanding the sensing and communication challenges to achieving cooperative perception among autonomous vehicles, and then, using the insights gained, guiding the design of the suitable format of data to be exchanged, data fusion on vehicles, and efficient wireless vehicular communications. -
Bio
Qing Yang is an Associate Professor in the Computer Science and Engineering department at University of North Texas. He obtained his Ph.D. degree from the Auburn University, Alabama, USA. He is the co-Director of eCAT (Electric, Connected and Autonomous Technologies for Mobility) center that is recently funded by U.S. National Science Foundation's Industry-University Research Partnerships (IUCRC) program. He works on connected and automated vehicle technology, with research interests focused on cooperative perception. His research was supported by the U.S. National Science Foundation, U.S. Federal Highway Administration, U.S. Department of Energy, Office of Naval Research, U.S. Arm Research Lab, Toyota InfoTech Inc., and Fujitsu Laboratories of America Inc. He is currently serving as an area chair for IEEE Internet of Things, on the editorial boards of IEEE Transactions on Vehicular Technology, IEEE Transaction on Multimedia, and Elsevier Vehicular Communications.
