Prof. Yao Ma attended the 12th National Science Foundation Cyber Physical Systems Principal Investigators Meeting and presented our project CRII: CPS: Human-Centric Connected and Automated Vehicles for Sustainable Mobility at poster session. We are glad to share our work with colleagues and looking forward to future collaborations!
Ph.D. student Mehmet Ozkan at MALab received ASME Dynamic Systems and Control Division Rising Star Award for our work entitled Socially Compatible Control Design of Automated Vehicle in Mixed Traffic during the 2022 Modeling, Estimation, and Control Conference. We also presented our recent paper Inverse Resource Rational Based Stochastic Driver Behavior Model at the conference. Congratulations!
MALab participated in the 2022 Texas Tech University Explore Engineering Summer Camp hosted by Whitacre College of Engineering. We were delighted to welcome 37 high school students with a short course on autonomous mobile robots, led by MALab Ph.D. candidate Mehmet Ozkan. Students assembled, programmed and raced scaled robotic cars and had a lot fun! We were particularly glad to receive a lot interests from students in pursuing post secondary education in the field of autonomous systems and robots, as we had hoped to achieve through such outreach activities, supported by National Science Foundation project CRII: CPS: Human-Centric Connected and Automated Vehicles for Sustainable Mobility.
Ph.D. student Mehmet Ozkan at MALab presented our recent work entitled Socially Compatible Control Design of Automated Vehicle in Mixed Traffic during the 2022 American Control Conference. The paper was selected for the Best Paper Award by ASME Automotive and Transportation System Technical Committee.
Third-year Ph.D. candidate Mehmet Ozkan won Doctoral Dissertation Completion Fellowship awarded by Texas Tech University Graduate School , following a merit-based university-wide competition. This fellowship provides a full year financial support ($29,000) for the awardee to focus exclusively on research and advance progress towards graduation. Congratulations!
Our project CRII: CPS: Human-Centric Connected and Automated Vehicles for Sustainable Mobility has been awarded by National Science Foundation.
This project will develop novel modeling, control, and optimization methods for connected and automated vehicles to operate in human-dominated traffic to improve the efficiency and sustainability of the urban transportation system while respecting individual drivers’ unique behaviors and social norms accordingly. The significance of the research is highlighted by the following two needs.
Ph.D. student Mehmet Ozkan at MALab is elected as one of two Student Liaisons by ASME Automotive and Transportation System Technical Committee. The student liaison will organize student-centered activities during annual conferences with TC involvement, such as ACC and MECC. Congratulations!
Ph.D. student Mehmet Ozkan at MALab presented our recent work entitled Personalized Adaptive Cruise Control and Impacts on Mixed Traffic during the 2021 American Control Conference. The paper was nominated as one of three best paper finalists by ASME Automotive and Transportation System Technical Committee.
Our project on Real-time data monitoring System with Nanorobotics has been selected in National Science Foundation (NSF) Regional I-Corps Site Program supported by Texas Tech University Innovation Hub at Research Park.
The Innovation Hub’s programs support three distinct areas to further develop science and ideas to form high impact technology teams and launch successful startups. The Texas Tech’s I-Corps Site nurtures and supports teams to transition their technology concepts into the marketplace.
We recently presented our project on Real-time data monitoring System with Nanorobotics at 2021 Undergraduate Research Conference.
Natural disasters and technical failures are destroying thousands of buildings every year as per the statistics of 2020. Therefore, our team is approaching to effectively build a nano-robot, which minimizes the financial loss by monitoring the real-time situations of the affected area, therefore, suggesting a better response. A real-time monitoring application helps to sense and transmit the data to our main Graphical User Interface (GUI).