Kresimir Mihic Ph.D. candidate School of Mathematics The University of Edinburgh Scotland, UK K [dot] Mihic [at] sms [dot] ed [dot] ac [dot] uk VITA

I am a Ph.D candidate at the School of Mathematics and a member of Optimization and Operational Research group. I received my D. Engr. from the Department of Electrical Engineering at Stanford University in 2010 under Robert Gray and before joining the School I was a full-time research scientist at Oracle Labs. My current research interest includes methods for solving very large scale problems, and more generally, non-linear optimization  algorithm design and analysis. If you’re new to the site, please drop me a line. I always like to know who’s reading.

• Co-organizing "Decomposition Methods in Very Large Scale Optimization" workshop, Thursday 4th - Friday 5th June 2020, Edinburgh, UK
  

1. Working papers and unpublished manuscripts
2.  Journal papers
3. Refereed conference proceedings and presentations
4. Miscellany

Working papers and unpublished manuscripts (comments welcome)

• "Managing Randomization in the Multi-Block Alternating Direction Method of Multipliers for Quadratic Optimization" with Mingxi Zhu and Yinyu Ye

• "On a Randomized Multi-Block ADMM for Solving Selected Machine Learning Problems" with Mingxi Zhu and Yinyu Ye
  

 Journal papers

• “Wasserstein distance and the distributionally robust TSP”, with Mehdi Behroozi and John G. Carlsson
  Operations Research, 66(6) (2018): 1603-1624.

• "Randomized decomposition solver with the quadratic assignment problem as a case study", with Kevin Ryan and Alan Wood
  INFORMS Journal on Computing, 30(2) (2018): 295-308.

• "Power and reliability management of SoCs", with Tajana Simunic Rosing and  Giovanni De Micheli
  IEEE Transactions on VLSI Systems, Vol. 15, Issue 4 (2007): 391-403.

• “Analysis and Optimization of MPSoc Reliability”, with Ayse K. Coskun, Tajana Simunic Rosing and Giovanni De Micheli
  Journal of Low Power Electronics, Vol. 2, No. 1 (2006): 56-69.
  

Refereed conference proceedings and presentations

• “Randomized multi-block ADMM based iterative methods for solving large scale coupled convex problems”, with Spyridon Pougkakiotis and Jacek Gondzio
  International Conference on Continuous Optimization (ICCOPT), Berlin, Germany, 2019.

• "Generalized decomposition for non-linear problems", with Alan Wood
  INFORMS Annual Meeting, San Francisco, CA, 2014.

• “RSSolver: A tool for solving large non-linear, non-convex discrete optimization problems”, with David Vengerov and Andrew Vakhutinsky
  INFORMS Annual Meeting, Phoenix, AZ, October 2012.
  

• "A Tractable approach to solving store-level retail space optimization with business constraints", with David Vengerov and Andrew Vakhutinsky
  INFORMS Manufacturing & Service Operations Management (MSOM) Conference, New York, NY, 2012.
  

• “Solving retail space optimization problem using the randomized search algorithm”, with with David Vengerov and Andrew Vakhutinsky
  INFORMS Conference on Business Analytics & Operations Research, Huntington Beach, CA, April 2012.

• "A system for online power prediction in virtualized environments using Gaussian mixture models", with G. Dhiman and Tajana Simunic Rosing
  Design Automation Conference (DAC), Anaheim, CA, June 2010.
  Notes: Conference acceptance rate 24% 

Miscellany