The UC Berkeley Fung Institute for Engineering Leadership has just announced a new concentration for IEOR master of engineering students focused on financial technology (FinTech). The concentration will help meet the large and growing demand for FinTech workers in banking, consulting, and technology companies. The FinTech concentration equips students with skills in machine learning and data analytics with an emphasis on financial time-series analysis.
The Department of Industrial Engineering & Operations Research (IEOR) has just announced the Grassi and Marshall-Oliver-Rosenberger fellows for 2017.
IEOR Professor Robert C. Leachman will be a keynote speaker at the 47th International Conference on Computers and Industrial Engineering (“CIE 47”), held in Lisbon, Portugal, October 11-13, 2017. Rob will be delivering a lecture entitled “The Engineering of Speed.” For details, see http://www.cie47.com/
The Department of Indusrial Engineering & Operations Research is delighted to announce that Professors Pieter Abbeel and Michael Jordan, two of the best-known experts in machine learning, have been appointed as joint faculty in IEOR in addition to their primary appointments in EECS (and Statistics for Jordan).
"Profs. Abbeel and Jordan are terrific colleagues that bring extremely valuable perspectives to our interests in robotics, automation, machine learning, and data science," states Ken Goldberg, Chair of IEOR.
IEOR professors Ken Goldberg and Pieter Abbeel, and UC Berkeley professors Anca Dragan and Stuart Russell, have been awarded the NSF National Robotics Initiative Award for their research in scalable collaborative human-robot learning.
IEOR professors Shmuel Oren and Javad Lavaei's proposal entitled "Computational Methods for Large-scale Interconnected Systems with Continuous and Discrete Parameters" has been selected for funding by the U.S. Army Research Laboratory's Army Research Office (ARO).
The project will be funded at $450,000 over three years and will allow the researchers to investigate large-scale distributed systems, such as energy systems.
New research by Professor Ken Goldberg, Jeff Mahler, and the Laboratory for Automation Science and Engineering (AUTOLAB) shows real progress on the problem of robots grasping everyday objects.
IEOR graduate student Mark Velednitsky has reduced a twenty-eight page proof for the traveling salesman problem (TSP) to just a few lines.