Welcome Dr. Tuo Zhao, who joined an assistant professor in the H. Milton Stewart School of Industrial & Systems Engineering at Georgia Tech, started January 2017 His current research focuses on developing a new generation of optimization algorithms with statistical and computational guarantees, as well as user-friendly open source software for machine learning and scientific… Continue reading Welcome new faculty member, Tuo Zhao, to the School of Industrial & Systems Engineering (ISyE)
Welcome Dr. He Wang, a new faculty member in the Georgia Tech's H. Milton Stewart School of Industrial & Systems Engineering (ISyE). He Wang joined the School in January 2017 as an assistant professor. His research interests are in the areas of revenue management, supply chain and logistics, and statistical learning. His current research focuses on the interface… Continue reading Welcome new faculty member, He Wang, to the School of Industrial & Systems Engineering (ISyE)
ML@GT was well represented at AAAI 2017, the premiere conference on AI, held Feb 4-9, 2017 in San Francisco, CA 2017. Here are some highlights from this conference. Frank Dellaert, a professor in the Georgia Institute of Technology’s College of Computing, will receive the Association for the Advancement of Artificial Intelligence (AAAI) Classic Paper Award… Continue reading ML@GT at AAAI 2017. Some highlights
Title: Phase Retrieval meets Statistical Learning Theory Speaker: Justin K. Romberg (School of Electrical and Computer Engineering, GA Tech) Date/Time: Wednesday 2/15/2017, 12n - 1pm, (Lunch at 11:30am) Location: TSRB Banquet Hall (85 5th Street NE, Atlanta, GA 30309) Abstract: We will present a new convex relaxation for the classic problem of phase retrieval, where we… Continue reading ML@GT Seminar by Justin Romberg on “Phase Retrieval meets Statistical Learning Theory”
As part of the ML@GT/IRIM Seminar Series, here is the next very interesting talk by our very own, Magnus Egerstedt, Executive Director of IRIM. (Link) Date: Wednesday, February 8, 2016 Speaker: Magnus Egerstedt (Executive Director, IRIM) Title: “Persistent Environmental Monitoring: Robots that Seemingly Do Nothing Most of the Time” Location: Marcus Nanotechnology Building • Rooms… Continue reading Robotics Seminar by Magnus Egerstedt on “Persistent Environmental Monitoring: Robots that Seemingly Do Nothing Most of the Time”
Please join us in congratulating our very own, Professor Frank Dellaert for this amazing and very well deserved honor. Source: Paper Recognized for Enduring Contributions to Robotics | College of Computing Frank Dellaert, a professor in the Georgia Institute of Technology’s College of Computing, will receive the Association for the Advancement of Artificial Intelligence (AAAI)… Continue reading Paper Recognized for Enduring Contributions to Robotics, Machine Learning, and Computing
NSF has a new program solicitation on "Mind, Machine and Motor Nexus (M3X)" due Spet 15, 2017 (announcement here). The Mind, Machine and Motor Nexus (M3X) program supports fundamental research at the intersection of mind, machine and motor. A distinguishing characteristic of the program is an integrated treatment of human intent, perception, and behavior in… Continue reading NSF Program on “Mind, Machine and Motor Nexus (M3X)”
Speaker: Jacob Eisenstein 12n-1pm, Wednesday, Jan 25, 2017 (Lunch will be served at 11:45am) Marcus Nano Rm 1117-1118 Title: Two new machine learning approaches for text classification Abstract: Text document classification is one of the most well-studied applications of machine learning. Yet this technology is still limited by practical difficulties and invalid underlying assumptions. First, many people who want… Continue reading ML@GT Seminar by Jacob Eisentein (Georgia Tech) “Two new machine learning approaches for text classification”
School of Computer Science Distinguished Lecture Title:“Next-generation Algorithms for Network Data” Who: Jure Leskovec, Associate Professor Department of Computer Science Stanford University When:January 20, 2017 @ 2:00 PM Where:Tech Square Research Building Auditorium Abstract: Networks are a fundamental tool for understanding and modeling complex systems in physics, biology, neuro, and social sciences. Current network algorithms… Continue reading SCS Distinguished Lecture by Jure Leskovec (Stanford) on “Next-generation Algorithms for Network Data”
DoD has a new solicitation on "Utilizing Machine Learning and Artificial Intelligence for Medical Training Needs (MACH Learning) Award" by Department of Defense Defense Health Program Congressionally Directed Medical Research Programs Defense Medical Research and Development Program Joint Program Committee-1 (JPC-1) – Medical Simulation and Information Sciences Research Program (MSIS). Pre-Application: February 3, 2017 Extramural Application:… Continue reading DoD Program on “Utilizing Machine Learning and Artificial Intelligence for Medical Training Needs (MACH Learning) Award
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