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Kevin Lieberman
Michigan Robotics PhD - Human Factors - Data Science
Professional Background
Kevin Lieberman is a dedicated and innovative Robotics PhD Candidate at the prestigious University of Michigan, focusing on advancing human-robot collaboration in military and aerospace settings. His research uniquely addresses the intricacies of trust, transparency, and training within human-robot teams, making significant strides in human factors engineering, a field that blends technology and human interaction to optimize performance.
A vital member of the Michigan Center for Ergonomics, Kevin collaborates closely with distinguished advisor, Professor Nadine Sarter, exploring the fundamental principles that can enhance the synergy between humans and machines. His work is pivotal as it seeks to bridge the gap between complex robotic systems and users, ensuring that technology is not only efficient but also intuitive and user-friendly.
Kevin passed his doctoral defense in March 2022, a testament to his dedication and expertise, and is set to graduate in April 2022. With a notable academic career, he is currently seeking opportunities in the vibrant Washington, DC area, targeting roles related to human factors engineering, human systems integration, and human-machine interaction. His unique combination of experience, education, and vision positions him as a leading candidate in the field.
Education and Achievements
Kevin's educational journey is characterized by his commitment to excellence and a continual pursuit of knowledge. He holds a Bachelor of Science in Mechanical Engineering from Duke University, graduating with Departmental Distinction in 2012. His academic path continued at the University of Michigan where he obtained both a Master of Science and a PhD in Robotics. Notably, during his time at Michigan, Kevin also pursued and will graduate with a Graduate Certificate in Data Science, further enhancing his analytical and computational skill sets.
Throughout his studies, Kevin has been recognized for his outstanding contributions and leadership in various capacities. He was awarded the National Defense Science and Engineering Graduate (NDSEG) Fellowship from the Department of Defense, emphasizing his potential and commitment to advancing technological solutions in defense and national security. Additionally, he received the Lawrence C. Fortier Memorial Scholarship from the Air Traffic Control Association (ATCA), highlighting his dedication to advancements in air traffic management and human factors.
His campus leadership was acknowledged as he received the University of Michigan's "Graduate Student of the Year" Student Leadership Award, along with the College of Engineering's Harry B. Benford Award for Entrepreneurial Leadership and the Distinguished Leadership Award. These accolades reflect Kevin's ambition and skill in navigating complex interdisciplinary challenges while contributing to his community and the greater field of engineering.
Professional Experience
Before embarking on his doctoral studies, Kevin honed his skills in a practical environment at Metron Aviation, a prominent FAA government contractor and subsidiary of Airbus. In this dynamic role as a Senior Associate Analyst, he contributed significantly to the development of innovative air traffic management concepts, conducting analyses and executing human-in-the-loop simulations. This experience equipped him with a rich understanding of both theoretical and applied aspects of human factors and systems integration.
In addition to his professional roles, Kevin has been actively involved in research, serving as a Research Assistant at Duke University's Robotics and Manufacturing Automation Laboratory. His early work in this capacity set the foundation for his subsequent explorations in robotics while fostering a strong interest in how humans can interact effectively with machine systems.
Moreover, Kevin's diverse experiences extend beyond technical domains; he has also served as a Tour Narrator for Landmark Services Tourmobile, Inc., showcasing his versatility and ability to engage audiences effectively.
Skills and Expertise
With a robust academic background and diverse professional experiences, Kevin brings a wealth of knowledge to the fields of robotics, human factors, and engineering. His expertise lies in designing and conducting human factors experiments, evaluating joint human-machine performance, and analyzing gaze behavior through sophisticated eye-tracking technology. His strong foundation in statistics enables him to conduct rigorous analyses that inform best practices in human-robot integration.
Kevin's rigorous coursework in cognitive ergonomics, human error, artificial intelligence, computational data science, and robotics has equipped him with a multifaceted skill set that is both rare and sought after. His commitment to understanding human behaviors as they relate to technology is central to his research endeavors and career aspirations.
As he prepares to transition into the workforce, Kevin is poised to make impactful contributions in domains focusing on human systems integration and engineering. His proactive approach to seeking relevant opportunities will undoubtedly pave the way for a successful career that aligns with his passion for operational excellence and innovation within human-robot teams.
Conclusion
Kevin Lieberman represents the future of robotics and human factors engineering, exemplifying the integration of rigorous academic training with practical experience. His dedication to enhancing the collaboration between humans and machines is commendable and reflects his belief in harnessing technology for beneficial outcomes in military and aerospace applications. As he graduates from the University of Michigan, his quest for opportunities in Washington, DC promises to open doors for impactful roles where he can further his research and operational capabilities.
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Kevin Lieberman: Robotics PhD Candidate and Human Factors Engineer
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