Directory

 

 
 
General InformationPublicationsResearch Projects

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

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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.

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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

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