Principal Investigator

Dorit S. Hochbaum is a Chancellor full professor at UC Berkeley, at Industrial Engineering and Operations Research (IEOR). Professor Hochbaum holds a Ph.D from the Wharton school of Business at the University of Pennsylvania. Prior to joining UC Berkeley in 1981, Professor Hochbaum held a faculty position at Carnegie Mellon university’s GSIA. Her research interests are in areas of discrete optimization, network flow techniques,data mining, image segmentation, supply chain management and efficient utilization of resources. She did work on approximation algorithms, location problems; on movement of robots; on routing and distribution problems; on feasibility of VLSI designs; on distribution of data bases on computer networks; on clustering problems and on medical imaging, among others. She has contributed to the analysis of heuristics and approximation algorithms in the worst case, and on the average, and to the complexity analysis of algorithms in general, and nonlinear optimization algorithms in particular. Her recent applications work is on problems related to the homeland security with flow based pattern recognition algorithms, analyzing gene expression databases, scheduling and testing, production planning and supply chain streamlining for high tech industries and logistics and planning problems in various industries. Recent theoretical work focuses on particularly efficient techniques using network flow for data mining and image segmentation and for inverse problems, with applications varying from medical prognosis, error correction, medical imaging, nuclear threat detection, financial risk assessment and prediction, to group rankings and decision problems.

Professor Hochbaum served as the chair of the Manufacturing and Information Technology group at the Haas School of Business. She is the founder and director of the UC Berkeley Supply Chain Initiative. She is the founder and co-director of the RIOT project.

Professor Hochbaum is the author of over 150 papers that appeared in the Operations Research, Management Science and Theoretical Computer Science literature. She served as department editor for Management Science department of Optimization and Modeling, and on a number of editorial boards

Professor Hochbaum was named in 2004 as honorary doctorate of Sciences of the University of Copenhagen, for her work on approximation algorithms. In 2005 Professor Hochbaum was conferred the title of INFORMS fellow. She was appointed the Pinhas Naor lecturer of the Technion for 2013, and a Research Excellence professor at the University of Vienna in 2007.She is the winner of the 2011 INFORMS Computing Society prize for her work on algorithms for image segmentation. She was named SIAM (Society of Industrial and Applied Mathematics) fellow in 2014.

Principal Investigator

Dorit S. Hochbaum

PhD Students

Titouan Jehl

Xu Rao

Rebecca Sarto Basso

Quico Spaen

Mark Velednitsky

Undergraduate Students

Minjun Chang

Kaitlyn Li

Former PhD Students & Post-docs

• hochbaum [at] ieor.berkeley.edu
• (510) 642-4998
• Etcheverry Hall, University of California, Berkeley, CA, USA
• Email for appointment