Photo of Necdet Serhat Aybat

Necdet Serhat Aybat

Associate Professor

Affiliation(s):

  • Industrial and Manufacturing Engineering

360 Leonhard Building

nsa10@psu.edu

814-867-1284

Personal or Departmental Website

Research Areas:

Operations Research

Interest Areas:

i) First Order Methods for Large-Scale Convex Optimization, ii) Compressive Sensing, iii) Matrix Rank Minimization, iv) Robust and Stable PCA, v) Distributed Algorithms.

 
 

 

Education

  • BS, Industrial Engineering, Bogazici University, 2003
  • MS, Industrial Engineering, Bogazici University, 2005
  • Ph D, Industrial Engineering and Operations Research, Columbia University, 2011
  • M Phil, Industrial Engineering and Operations Research, Columbia University, 2011

Publications

Books

  • Necdet S Aybat, 2016, Handbook of Robust Low Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing, CRC Press, Taylor and Francis Group

Book, Chapters

  • Necdet S Aybat, 2016, Algorithms for Stable PCA, CRC Press, Taylor and Francis Group

Journal Articles

  • Ashkan Jasour, Necdet S Aybat and Constantino M Lagoa, 2015, "Semidefinite Programming For Chance Constrained Optimization Over Semialgebraic Sets", SIAM Journal on Optimization, 25, (3), pp. 1411-1440
  • Necdet S Aybat and Garud Iyengar, 2015, "An Alternating Direction Method with Increasing Penalty for Stable Principal Component Pursuit", Computational Optimization and Applications, 61, (3), pp. 635-668
  • Necdet S Aybat, Donald Goldfarb and Shiqian Ma, 2014, "Efficient Algorithms for Robust and Stable Principal Component Pursuit Problems", Computational Optimization and Applications, 58, (1), pp. 1-29
  • Necdet S Aybat and Garud Iyengar, 2014, "A Unified Approach for Minimizing Composite Norms", Mathematical Programming, Series A, 144, (1), pp. 181-226
  • Necdet S Aybat and Garud Iyengar, 2012, "A First-Order Augmented Lagrangian Method for Compressed Sensing", SIAM Journal on Optimization, 22, (2), pp. 429-459
  • Necdet S Aybat and Garud Iyengar, 2011, "A First-Order Smoothed Penalty Method for Compressed Sensing", SIAM Journal on Optimization, 21, (1), pp. 287-313

Conference Proceedings

  • Hesam Ahmadi, Necdet S Aybat and Vinayak Shanbhag, 2016, "On the Rate Analysis of Inexact Augmented Lagrangian Schemes for Convex Optimization Problems with Misspecified Constraints", Proceedings of American Control Conference (ACC), 2016, pp. 4841-4846
  • Necdet S Aybat, Sahar Zarmehri and Soundar R Tirupatikumara, 2015, "An ADMM Algorithm for Clustering Partially Observed Networks", Proceedings of the 2015 SIAM International Conference on Data Mining, pp. 460-468
  • Necdet S Aybat, Zi Wang and Garud Iyengar, 2015, "An Asynchronous Distributed Proximal Gradient Method for Composite Convex Optimization", Journal of Machine Learning Research (JMLR): W&CP -- Proceedings of the 32nd International Conference on Machine Learning, 37, pp. 2454-2462
  • Necdet S Aybat and Zi Wang, 2014, "A Parallel Method for Large Scale Convex Regression Problems", Proceedings of the 53rd IEEE Conference on Decision and Control (CDC), pp. 5710-5717
  • Necdet S Aybat, Sinem Daysal, Burcu Tan and Fulden Topaloglu, 2004, "Decision Making Tests with Different Variations of the Stock Management Game", Proceedings of the 22nd International Systems Dynamics Conference, Oxford
  • Necdet S Aybat and Erfan Yazdandoost, , "A Primal-Dual Method for Constrained Consensus Optimization", Advances in Neural Information Processing Systems (NIPS)
  • Necdet S Aybat and Erfan Yazdandoost, , "Distributed primal-dual method for multi-agent sharing problem with conic constraints", Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers
  • Mahmoud Ashour, Jingyao Wang, Constantino M Lagoa, Necdet S Aybat and Hao Che, , "Non-concave Network Utility Maximization: A Distributed Optimization Approach", IEEE INFOCOM 2017 - the 36th Annual IEEE International Conference on Computer Communications
  • Jingyao Wang, Mahmoud Ashour, Constantino M Lagoa, Necdet S Aybat and Hao Che, , "A Distributed Optimization Method for Non-Concave Network Utility Maximization in Connectionless Networks", The Proceedings of 2017 American Control Conference

Research Projects

  • September 2016 - August 2019, "Decentralized power flow optimization on electricity grids via distributed consensus methods," (Sponsor: NSF CMMI - Service, Manufacturing and Operations Research (SMOR)).
  • August 2014 - July 2017, "Resolving Parametric Misspecification: Joint Schemes for Computation and Learning," (Sponsor: NSF CMMI - OPERATIONS RESEARCH).

Honors and Awards

  • INFORMS Data Mining Best Student Paper Prize Finalist (as advisor), INFORMS Data Mining Section, November 2015
  • 2011 SIAM Student Paper Prize, July 2012
  • 2010 INFORMS Computing Society Student Paper Award Runner-Up, November 2010
  • The Presidential Distinguished Fellowship, Columbia University, September 2006
  • Dana Meadows Best Student Paper Prize, Honorable Mention, Bogazici University, July 2004
  • Valedictorian, Bogazici University, Istanbul, Turkey, June 2003
  • Valedictorian, Uskudar Science High School, June 1998

Service

Service to Penn State:

  • Member, Faculty Search Committee, September 2015 - May 2016
  • Member, Department Head Search Committee, November 2014 - May 2015
  • Coordinator, Candidacy Exam - OR Area Coordinator, August 2014 - May 2015
  • Coordinator, Industrial Engineering Colloquium Coordinator, August 2015 - December 2015
  • Reviewer, Faculty Reviewer for College of Engineering Research Symposium (CERS), April 2014 - April 2014
  • Member, Faculty group for dicussing the student aspects of the new strategic plan, January 2013 - February 2013
  • Member, Faculty Search Committee for ICS Cluster Hire, August 2012 - December 2012
  • Member, Research Computing Committee, October 2015
  • Member, Graduate Committee, August 2016

Service to External Organizations:

  • Vice ChairVice Chair of Nonlinear Optimization Section, INFORMS Optimization Society, November 2016 - November 2018
  • Chairperson, Technical Session Organization, INFORMS Annual Meeting, March 2016 - November 2016
  • Chairperson, Session Chair, Institute for Mathematics and its Applications (IMA), October 2015 - October 2015
  • Chairperson, Technical Session Organization, INFORMS Annual Meeting, March 2015 - November 2015
  • Organizer, Workshop Organization, International Conference on Computer Vision (ICCV), July 2015 - December 2015
  • Chairperson, Technical Session Organization, INFORMS Annual Meeting, March 2014 - November 2014
  • Committee Member, INFORMS Optimization Society Student Paper Prize Committee, July 2014 - August 2014
  • Chairperson, Technical Session Organization, INFORMS Annual Meeting, March 2013 - November 2013
  • Chairperson, Mathematical Optimization Society (MOS), December 2012 - July 2013
  • Organizer, Symposium Organization, IEEE Global Conference on Signal and Information Processing (GlobalSIP), December 7-9, 2016, December 2015
 


 

About

Home of the first established industrial engineering program in the world, the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering (IME) at Penn State has made a name for itself in the engineering industry through its storied tradition of unparalleled excellence and innovation in research, education, and outreach.

We are Innovators. We are Makers. We are Excellence in Engineering. We are Penn State IME.

The Harold and Inge Marcus Department of
Industrial and Manufacturing Engineering

310 Leonhard Building

The Pennsylvania State University

University Park, PA 16802-4400

Phone: 814-865-7601

FAX: 814-863-4745