J. Andrew Bagnell | Associate Professor, Carnegie Mellon University
Andrew is interested in "closing the loop" on complex systems. Meaning, he's interested in designing algorithms that allow systems to observe their own operation and improve performance. He believes the borderland between planning, control and computational learning is particularly rich with research challenges and potential to make real, immediate impact on applications. At the moment he focuses primarily on two areas in machine learning - applications of learning and decision making applied to mobile robotics, and developing rich, structured probabilistic models that are appropriate for both making and learning decisions.
Andrew received his B.Sc. in Electrical Engineering with highest honors from the University of Florida. He joined the Robotics Institute at Carnegie Mellon University in 2000 as a National Science Foundation Graduate Fellow, receiving an MS and PhD in Robotics in 2002 and 2004. He directs the Learning, AI, and Robotics Laboratory (LAIRLab) within the Robotics Institute at Carnegie Mellon University, and his group has received over a dozen "best paper" research awards in both the robotics and machine learning communities.
Rodney Brooks | Professor Emeritus, MIT
A mathematics undergraduate in his native Australia, Rodney received a Ph.D. in Computer Science from Stanford in 1981. From 1984 to 2010, he was on the MIT faculty, and completed his service as a Professor of Robotics. He was also the founding Director of the Institute’s Computer Science and Artificial Intelligence Laboratory, and served in that role until 2007. In 1990, he co-founded iRobot (NASDAQ: IRBT), where he served variously as CTO, Chairman and board member until 2011. Rodney has been honored by election to the National Academy of Engineering, and has been elected as a Fellow of the American Academy of Arts and Sciences, the Association of Computing Machinery, the Association for the Advancement of Artificial Intelligence, the Institute of Electrical and Electronics Engineers and the American Association for the Advancement of Science. Rodney is also an accomplished presenter, and speaks regularly to promote the value of robotics and artificial intelligence in venues throughout the world.
Anca Dragan | Assistant Professor, UC Berkeley
Autonomy that interacts - that collaborates and coexists with humans - is becoming more and more functional, making its way out of research labs and into industry. Anca's goal is to weave interaction into the very fabric of this autonomy. She envisions riding in a self-driving car as it is effectively coordinating with other drivers on the road and with pedestrians. She envisions people with disabilities seamlessly operating assistive devices to thrive independently. And she envisions collaborative robots in the home or in the factory helping us with our tasks and even gently guiding us to better ways of achieving them.
Anca completed her Ph.D. at Carnegie Mellon in the Robotics Institute. She runs the InterACT Lab, serves on the steering committee for the Berkeley AI Research (BAIR) Lab, and is a co-PI of the Center for Human-Compatible AI.
Yann LeCun | Director of AI Research, Facebook and Silver Professor, NYU
Yann LeCun is Director of AI Research at Facebook and Silver Professor at New York University, affiliated with the Courant Institute, the Center for Neural Science and the Center for Data Science, for which he served as founding director until 2014. He received an EE Diploma from ESIEE (Paris) in 1983, a PhD in Computer Science from Université Pierre et Marie Curie (Paris) in 1987. After a postdoc at the University of Toronto, he joined AT&T Bell Laboratories. He became head of the Image Processing Research Department at AT&T Labs-Research in 1996, and joined NYU in 2003 after a short tenure at the NEC Research Institute. In late 2013, LeCun became Director of AI Research at Facebook, while remaining on the NYU Faculty part-time. He was visiting professor at Collège de France in 2016. His research interests include machine learning and artificial intelligence, with applications to computer vision, natural language understanding, robotics, and computational neuroscience. He is best known for his work in deep learning and the invention of the convolutional network method which is widely used for image, video and speech recognition. He is a member of the US National Academy of Engineering, the recipient of the 2014 IEEE Neural Network Pioneer Award, the 2015 IEEE Pattern Analysis and Machine Intelligence Distinguished Researcher Award, the 2016 Lovie Award for Lifetime Achievement, and a honorary doctorate from IPN, Mexico.
Stefanie Tellex | Assistant Professor, Brown University
Stefanie Tellex is an Assistant Professor of Computer Science and
Assistant Professor of Engineering at Brown University. Her group,
the Humans To Robots Lab, creates robots that seamlessly collaborate
with people to meet their needs using language, gesture, and
probabilistic inference, aiming to empower every person with a
collaborative robot. She completed her Ph.D. at the MIT Media Lab in
2010, where she developed models for the meanings of spatial
prepositions and motion verbs. Her postdoctoral work at MIT CSAIL
focused on creating robots that understand natural language. She has
published at SIGIR, HRI, RSS, AAAI, IROS, ICAPs and ICMI, winning Best
Student Paper at SIGIR and ICMI, Best Paper at RSS, and an award from
the CCC Blue Sky Ideas Initiative. Her awards include being named one
of IEEE Spectrum's AI's 10 to Watch in 2013, the Richard B. Salomon
Faculty Research Award at Brown University, a DARPA Young Faculty
Award in 2015, a NASA Early Career Award in 2016, a 2016 Sloan
Research Fellowship, and an NSF Career Award in 2017. Her work has
been featured in the press on National Public Radio, BBC, MIT
Technology Review, Wired and Wired UK, as well as the Smithsonian.
She was named one of Wired UK's Women Who Changed Science In 2015 and
listed as one of MIT Technology Review's Ten Breakthrough Technologies