Lab Updates

Jianyu Su, a native of Hubei, China; is an avid bodybuilder in his free time and also enjoys being amongst friends and real world problem solving. He is pursuing a PhD in the University of Virginia School of Engineering's Systems Engineering program and works with Professor Peter Beling at the Link Lab on projects related to artificial intelligence (AI) for multi-agent systems.What three words have described your life in the last year?
Boring, but fruitful.

Faria Tuz Zahura, class of 2022, when not working towards her PhD loves to paint nature scenes. She is a student resident at the Link Lab where she works on urban coastal flooding projects with the Associate Director of the Lab, Dr. Jon Goodall.Faria is a native of Dhaka, Bangladesh but has recently moved to Lubbock, Texas from Charlottesville to live with her husband. When she's not researching, she enjoys painting nature scenes and the little joys in life, such as a morning cup of coffee or tea to start off her day.

Josie Lamp, class of 2023, discovered her passion for computer science in high school when she wanted to program a tutu to change colors with music while she danced. This fostered a passion in engineering that led her to pursue a PhD with the Computer Science department in the University of Virginia School of Engineering and to become a student resident at the Link Lab who works with faculty member Dr. Lu Feng.A native of Firestone, Colorado; Josie's love of the outdoors was inspired by her upbringing on the plains.

Assistant Professor Lu Feng received the CAREER Award for her project "CAREER: Formal Methods for Human-Cyber-Physical Systems".Congratulations to Computer Science Assistant Professor Lu Feng on receiving the National Science Foundation's CAREER award. The CAREER program is highly selective. The award was given for her project "CAREER: Formal Methods for Human-Cyber-Physical-Systems".

Professor Madhur Behl's course in autonomous racing allows students working in teams to build, drive and race 1/10th-scale autonomous cars, while learning about the principles of perception, planning and control. They learn to use a robot operating system (ROS); integrate various sensors such as an inertial measurement unit (IMU), cameras, and light detection and ranging (LIDAR) on an embedded computer; and implement algorithms for localization, mapping, path planning and control. The course culminates in a F1/10 “battle of algorithms” race among the teams.

Good luck to all students practicing for the F1/10 Final Race that will commence Friday, May 10th in the Link Lab Arena.