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ORNL Researchers Attain Prestigious IEEE Senior Member Status for Groundbreaking Transportation Research

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Published on September 17, 2024
ORNL Researchers Attain Prestigious IEEE Senior Member Status for Groundbreaking Transportation ResearchSource: Oak Ridge National Laboratory

Three members of the Department of Energy's Oak Ridge National Laboratory (ORNL) team have achieved a commendable elevation in status within the Institute of Electrical and Electronics Engineers (IEEE)—Ross Wang, Adian Cook, and Majbah Uddin are now senior members. This designation is not easily earned; it recognizes extensive experience and professional prowess and is a distinction that only around 10% of IEEE’s 450,000-strong global membership can claim. In a report by ORNL, the institute highlighted the trio's considerable contributions to transportation research.

Wang, who leads the Applied Research for Mobility Systems group, delves into traffic systems and the potential of yet-to-be-wide-spread technologies like connected and automated vehicles. His body of work includes substantial projects sponsored by government entities such as the DOE's Vehicle Technologies Office and the U.S. Department of Transportation. He also brings his expertise to the American Society of Civil Engineers and holds editorial and leadership roles with the Transportation Research Board. Before his time at ORNL, which he joined in 2018, Wang was engaged in civil engineering projects and academics across the U.S. and in Taiwan.

Since stepping into ORNL in 2017, Cook has spearheaded research into cooperative driving automation and plays a critical role in the C-STAR project focused on securing high-risk vehicle shipments. His purview extends into multiple advanced technological fields including artificial intelligence, cybersecurity, and dynamic wireless charging – reflecting a blend of academic and practical experience in mechanical engineering. He actively contributes to ORNL's research milieu while pursuing his doctoral degree at the University of Tennessee, Knoxville.

Uddin's prowess resides in extracting insights from travel behavior, freight transportation data, and the timely topic of carbon capture, emphasizing his prowess with machine learning applications. A relative newcomer to ORNL with a 2019 start date, he has swiftly assumed roles on critical transportation boards and serves as a technical reviewer. Before ORNL, Uddin contributed to academia in both the United States and Bangladesh. His technical knowledge, shaped by his doctorate in civil engineering, informs his approach to complex transportation challenges.