Subgroup 03 | Metrics & Measures
Shelly Bagchi (co-chair)
| US National Institute of Standards and Technology (NIST, USA)
| Website: https://www.nist.gov/people/shelly-bagchi
Snehesh Shrestha (co-chair)
| US National Institute of Standards and Technology (NIST, USA)
| University of Maryland (USA)
| Website: https://www.snehesh.com
Snehesh is a postdoctoral researcher at the U.S. National Institute of Standards and Technology (NIST) and Adjunct Faculty in the Immersive Media Design (IMD) program at the University of Maryland (UMD) College Park. His research is at the intersection of Human-Robot Interaction and artificial intelligence (AI) empowered education. He develops technology, tools, measurements, standards, and applications in these domains. He is interested in empowering people by creating super-tools that augment their capabilities. He is an active contributor of IEEE P3017 and P3108 standards working groups, “Standard Terminology for Human-Robot Interaction” and “Recommended Practice for Human-Robot Interaction Design of Human Subject Studies.”
Megan Zimmerman
| US National Institute of Standards and Technology (NIST, USA)
Jauwairia Nasir
| Universität Augsburg (Germany)
| Website: https://jauwairianasir.com/
Jauwairia Nasir is a postdoctoral fellow at the Chair of Human-Centered AI, University of Augsburg. She received her PhD at EPFL’s CHILI Lab and was also an EU Horizon 2020 Marie Curie fellow at ANIMATAS. Previously, she received her masters degree, under the Korean Government Scholarship Program (KGSP), from KAIST, Republic of Korea and prior to that completed her bachelor’s degree at NUST School of Electrical Engineering and Computer Sciences in Pakistan. Her research focuses on adaptive social robotics, engagement modelling, multimodal behavioral analysis, and applied machine learning in educational and healthcare HRI. She actively engages with Women in AI, including taking on leadership roles, where her outreach earned her a finalist spot for the 2020 Hidden Figure Award by TechFace Switzerland.
Swapna Ketcham
| CXAIPDX (USA)
Niveditha Kalavakonda
| Northeastern University (USA)
Jeremy Marvel
| U.S. National Institute of Standards and Technology (NIST, USA)
Jeremy A. Marvel is a research scientist and project leader at the U.S. National Institute of Standards and Technology (NIST) in Gaithersburg, MD. Dr. Marvel received the bachelor’s degree in computer science from Boston University, Boston, MA, the master’s degree in computer science from Brandeis University, Waltham, MA, and the Ph.D. degree in computer engineering from Case Western Reserve University, Cleveland, OH. Prior to NIST, Dr. Marvel was a research scientist at the Institute for Research in Engineering and Applied Physics at the University of Maryland, College Park, MD. He joined the Intelligent Systems Division at NIST in 2012, and has over fifteen years of robotics research experience in industry, academia, and government. His research interests include intelligent and adaptive solutions for robot applications, with particular attention paid to human-robot and robot-robot collaborations, multi-robot coordination, industrial robot safety, machine learning, perception, and automated parameter optimization. Dr. Marvel currently leads a team of scientists and engineers in metrology efforts at NIST toward the performance evaluation of human-robot teams, and developing tools to enable small and medium-sized enterprises to effectively deploy robot solutions.
Daniel Hernández García
| Heriot-Watt University (UK)
| Website: https://dhgarcia.github.io/
Daniel Hernández García is a Research Fellow at the Interaction Lab, School of Mathematical and Computer Sciences, Heriot-Watt University. His research lies at the intersection of HRI and AI, with a focus on developing socially aware intelligent autonomous systems that can work with and for humans, particularly in assistive, collaborative or education scenarios. He works on the application of data-driven and deep learning approaches for deploying autonomous systems applications in real scenarios with human users.
Liz Carter
| Carnegie Mellon University (USA)
Emmanuel Senft
| Idiap Research Institute (CH)
| Website: https://emmanuel-senft.github.io/
Dr. Emmanuel Senft is a Research Scientist at the Idiap Research Institute in Martigny, Switzerland and a member of the Swiss Young Academy. He leads the Human-centered Robotics and AI group, which explores human-robot interaction and human-AI interaction from a technical side, but with a strong emphasis on user experience. He obtained his MSc from EPFL and his PhD from the University of Plymouth (UK) before working briefly in Japan at ATR and conducting a 3-year postdoc at the University of Wisconsin-Madison. His research consists of designing and deploying systems combining approaches from participatory design, end-user programming, robotics, and interactive machine learning. Applications domains contain education, therapies, manufacturing, and assistive robotics.
Aysegul Ucar
| Firat University in Elazig (Turkey)
Connor Esterwood
| University of Michigan (USA)
Connor Esterwood is a PhD Candidate at the University of Michigan’s School of Information. His research investigates the capacity of robots to repair and restore trust in the aftermath of errors. In addition, he also explores how individual differences such as personality and mind perception impact human–robot interaction. His work has appeared in leading journals and conferences across the human–robot interaction and human–computer interaction space including publication in Nature Scientific Reports, Computers in Human Behavior (CHB), International Journal of Human–Computer Interaction (IJHCI), IEEE Robotics and Automation Letters (RA-L), the ACM/IEEE Conference on Human-Robot Interaction (HRI), the ACM Conference on Human Factors in Computing Systems (CHI), and, the IEEE Conference on Robot & Human Interactive Communication (RO-MAN).