Chen Zhou is the associate chair for undergraduate studies and associate professor in the Stewart School of Industrial and Systems Engineering at Georgia Tech.. Dr. Zhou's research focus includes sustainable supply chain, distribution system design and manufacturing systems. Dr. Chen is a member of the Institute of Industrial Engineers, Society of Manufacturing Engineers and American Society of Engineering Education. Dr. Zhou received a B.S. degree from Tianjin University (China) in 1982, an M.S. in mechanical engineering from Pennsylvania State University in 1984, and a Ph.D. in industrial engineering from Pennsylvania State University in 1988.

Spyros Reveliotis is a professor in the Stewart School of Industrial & Systems Engineering at Georgia Tech. Dr. Reveliotis' research interests are primarily in discrete event systems theory and its applications, especially in the control of flexibly automated workflows and the traffic management of multi-agent systems evolving over graphs. He also has an active interest in machine learning theory and its applications. Dr. Reveliotis is an IEEE Fellow, and a member of INFORMS. Dr. Reveliotis completed his Ph.D. studies in industrial engineering at the University of Illinois at Urbana-Champaign. He also holds a B.Sc. degree in Electrical Engineering from the National Technical University of Athens, Greece, and an M.Sc. degree in Computer Systems Engineering from Northeastern University.

Dr. Sadegh's early research work was in the field of robotics and automation. His major contribution to this field was the development of a class of adaptive and learning controllers for nonlinear mechanical systems including robotic manipulators. This work, which evolved from his doctoral research, enables a robot to learn a repetitive task through practice, much like a human being, and without requiring a precise model. He later demonstrated that implementing this learning controller can significantly improve the performance of industrial robots without significantly increasing their cost or complexity, and has the potential to improve the accuracy, autonomy, and productivity of automated manufacturing systems. In addition to robotics, he developed a similar learning controller for speed regulation of copier photoreceptors as part of a project sponsored by the Xerox Corporation. Dr. Sadegh began at Tech in 1988 as an Assistant Professor.

In 1979 Dr. Lee conducted radiation research as an undergraduate assistant at the State University of New York at Buffalo, where he modeled and simulated the nongray particulate radiation in an isothermal cylindrical medium. At MIT, he designed high-performance fluidic amplifiers and fluid signal transmission systems and investigated analytically and experimentally the effects of temperature changes on fluid power control systems for flight backup control applications. Dr. Lee began at Tech in 1985 as an Assistant Professor.

Sang's research and art practice focuses on robotic and computational tools that work together with human users. His vision proposes extreme synergies between machine tools and humans, with technology essentially becoming a natural extension of our hands. This way, he challenges the fear and criticism around AI and automation that they replace human endeavors, by showing how symbiotic machines can unlock new human explorations and aesthetics. The impact of his research spans from publications in top tier HCI conferences such as CHI, TEI, and NIME, journals including Leonardo and IEEE Pervasive Computing, to design awards and art exhibitions. Several of his work were awarded the Fast Company Innovation by Design Award, and have been shown in art exhibitions at SIGGRAPH ASIA, CHI, TEI, and more. His work A Flying Pantograph was included in the Otherly Space / Knowledge exhibition at the Asia Culture Center along with some of the most prominent new media artists today. In 2014, He was an artist-in-residence at Microsoft Research Studio 99 where he created Remnance of Form - an interactive light and shadow installation. His work has received extensive media coverage from BBC, WIRED, Discovery, Fast Company and so on, and he was invited to national and international events including Sebasi+Pan, TEDx events, Seoul Digital Forum, and more. He is starting at Georgia Tech Industrial Design as an assistant professor. He has helped Artmatr in the development of a machine painting technology and its creative use through collaboration with some of today's most prominent painters. He received his Ph.D. from MIT Media Lab in 2018. Prior to that, he was a software engineer at Samsung Electronics where he led the software development of eyeCan, an open-source DIY eye-mouse designed for people with motor disability. This project became the foundation of Samsung's C-LAB. He received his Bachelor and Master of Science from KAIST, focusing on 3D Computer Vision and Machine Learning.

Henrik I Christensen is the Qualcomm Chancellor's Chair of Robot Systems and the director of the Contextual Robotics Institute at UC San Diego, and also a Distinguished Professor of Computer Science in the Department of Computer Science and Engineering. 

Dr. Christensen was initially trained in Mechanical Engineering and worked subsequently with MAN/BW Diesel. He earned M.Sc. and Ph.D. EE degrees from Aalborg University, 1987 and 1990, respectively. 

Upon graduation, Dr. Christensen has participated in many international research projects across four continents. He has held positions at Aalborg University, Oak Ridge National Laboratory, Royal Institute of Technology and Georgia Tech before joining UC San Diego. 

Dr. Christensen does research on robotics, with a particular emphasis on a systems perspective to the problem. Solutions must have a strong theoretical basis, a corresponding well-defined implementation, and it must be evaluated in realistic settings. There is a strong emphasis on “real systems for real applications!†

Dr. Christensen has published more than 400 contributions across robotics, vision and artificial intelligence. 
Dr. Christensen served as the Founding Chairman of EURON (1999-2006) and research coordinator for ECVision (2000-2004). He has led and participated in a many of EU projects, such as VAP, CoSy, CogVis, SMART, CAMERA, EcVision, EURON, Cogniron, and Neurobotics. He served as the PI for the CCC initiative on US Robotics. He is a Co-PI on ARL DCIST RCA, TILOS, the Robotics-VO, and several projects with industry. He was awarded the Joseph Engelberger Award 2011 and also named a Boeing Supplier of the Year 2011. He is a fellow of AAAS (2013) and IEEE (2015). He was awarded an honorary doctorate in engineering (Dr. Techn. h.c.) from Aalborg University, 2014. 

Dr. Christensen has served or serves on the editorial board for many of the most prestigious journals in the field, incl. Intl. Jour. of Robotics Research (IJRR), Autonomous Robots, Robotics and Autonomous Systems (RAS), IEEE Pattern Analysis and Machine Intelligence (PAMI), and Image & Vision Computing. In addition, he serves on the editorial board of the MIT Series on Intelligent Robotics and Autonomous Agents. He was the founding co-editor-in-chief of Trends and Foundations in Robotics

Accomplished roboticist, entrepreneur and educator Ayanna Howard, PhD, became dean of the College of Engineering on March 1, 2021. Previously she was chair of the Georgia Institute of Technology School of Interactive Computing in the College of Computing, as well as founder and director of the Human-Automation Systems Lab (HumAnS).

Her career spans higher education, NASA’s Jet Propulsion Laboratory, and the private sector. Dr. Howard is the founder and president of the board of directors of Zyrobotics, a Georgia Tech spin-off company that develops mobile therapy and educational products for children with special needs. Zyrobotics products are based on Dr. Howard’s research.

Among many accolades, Forbes named Dr. Howard to its America's Top 50 Women In Tech list. In May 2021, the Association for Computing Machinery named her the ACM Athena Lecturer in recognition of fundamental contributions to the development of accessible human-robotic systems and artificial intelligence, along with forging new paths to broaden participation in computing.

Dr. Howard also is a tenured professor in the college’s Department of Electrical and Computer Engineering with a joint appointment in Computer Science and Engineering.

I'm an assistant professor at Georgia Institute of Technology. Before joining Georgia Tech, I was a research scientist at Google and Disney Research Pittsburgh. I received my Ph.D. in Computer Science from the Georgia Institute of Technology in 2015. My advisor was Dr. C. Karen Liu. I have a B.S. degree in Computer Science from KAIST in 2009. I am interested in character animation, robotics, and artificial intelligence.

Mark Riedl is an Associate Professor in the Georgia Tech School of Interactive Computing and director of the Entertainment Intelligence Lab. Mark's research focuses on the intersection of artificial intelligence, virtual worlds, and storytelling. The principle research question Mark addresses through his research is: how can intelligent computational systems reason about and autonomously create engaging experiences for users of virtual worlds and computer games. Mark's primary research contributions are in the area of artificial intelligence approaches to automated story generation and interactive storytelling for entertainment, education, and training. Narrative is a cognitive tool used by humans for communication and sense-making. The goal of my narrative intelligence research is to discover new computational algorithms and models that can facilitate the development of intelligent computer systems that can reason about narrative in order to be better communicators, entertainers, and educators. Additionally, Mark has explored the following research topics: virtual cinematography in 3D virtual worlds; player modeling; procedural generation of computer game content; computational creativity; human creativity support; intelligent virtual characters; mixed-initiative problem solving; and discourse generation. Mark earned a Ph.D. degree in 2004 from North Carolina State University. From 2004-2007, Mark was a Research Scientist at the University of Southern California Institute for Creative Technologies where he researched and developed interactive, narrative-based training systems. Mark joined the Georgia Tech College of Computing in 2007 where he continues to study artificial intelligence approaches to story generation, interactive narratives, and adaptive computer games. His research is supported by the NSF, DARPA, the U.S. Army, Google, and Disney. Mark was the recipient of a DARPA Young Faculty Award and an NSF CAREER Award.