Welcome to my site.


Etcheverry Hall

University of California

Berkeley, CA 94720

TEL: (510) 642-4998

FAX: (510) 642-1403

hochbaum at ieor.berkeley.edu


I was awarded, summer 2018, an NSF grant titled "A Graph Theoretic Approach for Spatial Dependence in Quality Control and Prediction" by the Operations Engineering (OE) CMMI division.

As for older news:

The neuron segmentation algorithm HNCcorr is one of the leading algorithms in the Neurofinder . benchmark for cell identification in calcium imaging movies. The algorithm is HNC (Hochbaum Normalized Cut), aka NC', with similarities based on distances in correlation space. This is joint work with Quico Spaen and Roberto Asin.

I try to be an optimizer in whatever I do, and my research interests reflect that. Some problem applications I am interested in include:

  • Data mining and pattern recognition with flow techniques
  • Image segmentation and detecting hidden features in medical images
  • Detecting security threats - domestic nuclear threat detection The DoNuTS project
  • Information technology issues in supply chain management
  • Manufacturing of VLSI circuit
  • Testing and designing circuits
  • Scheduling problems
  • Planning of mining operations
  • Locations of facilities
  • Distribution and logistics
  • And, baking cakes optimally

Please consult the list of publications or technical reports for specific titles.

I also have substantial interest in algorithms that solve problems as efficiently as possible and exploring complexity issues. These include approximation algorithms, strongly polynomial algorithms, practical integer programming algorithms for discrete optimization problems, problems on graphs, and nonlinear problems.

Topics in nonlinear complexity and combinatorial optimization: IEOR 290G, Spring 2017 -

in Lecture notes Spring 2017.

Network Flows and Graph Algorithms: IEOR 266, updated Fall 2019 -

in Lecture notes Fall 2019.

Integer Programming and Combinatorial Optimization: IEOR 269 -

in Lecture notes Spring 2010.