Team

Heni Ben Amor

Dr. Heni Ben Amor is an Assistant Professor at Arizona State University where he leads the ASU Interactive Robotics Laboratory. He received the NSF CAREER Award as well as the Outstanting Assistant Professor Award in 2018. Prior to that, he was a Research Scientist at the Institute for Robotics and Intelligent Machines at GeorgiaTech in Atlanta. Heni studied Computer Science at the University of Koblenz-Landau (GER) and earned a Ph.D in robotics from the Technical University Freiberg and the University of Osaka in 2010 where he worked with Hiroshi Ishiguro and Minoru Asada. Before moving to the US, Heni was a postdoctoral scholar at the Technical University Darmstadt working with Jan Peters. Heni's research topics focus on artificial intelligence, machine learning, human-robot interaction, robot vision, and automatic motor skill acquisition. He received the highly competitive Daimler-and-Benz Fellowship as well as several best paper awards at major robotics and AI conferences. He is also in the program committee of various AI and robotics conferences such as RSS, AAAI, IJCAI, IROS, and ICRA. For more information check out his website.

Mariano Phielipp

Dr. Mariano Phielipp works at the Intel AI Lab inside the Intel Artificial Intelligence Products Group. His work includes research and development in deep learning, deep reinforcement learning, machine learning, and artificial intelligence. Since joining Intel, Dr. Phielipp has developed and worked on Computer Vision, Face Recognition, Face Detection, Object Categorization, Recommendation Systems, Online Learning, Automatic Rule Learning, Natural Language Processing, Knowledge Representation, Energy Based Algorithms, and other Machine Learning and AI-related efforts. Dr. Phielipp has also contributed to different disclosure committees, won an Intel division award related to Robotics, and has a large number of patents and pending patents. His has published on AAAI, IEEE, SPIE, IASTED, and EUROGRAPHICS-IEEE Conferences. For more information check out his web-page.

Siyu Zhou

Siyu Zhou is a PhD student at Arizona State University’s School of Earth and Space Exploration. He is advised by Dr. Sara Walker and co-advised by Dr. Heni Ben Amor. His research interests are at the intersection of Model Learning, Swarms, and Machine Learning. His current research work is on learning models from swarms interactions using graph neural networks by imitation. For more information on his work check out his GitHub account.