Necdet Serhat Aybat

Necdet Serhat Aybat 

Necdet Serhat Aybat
Associate Professor
Industrial and Manufacturing Engineering Department
Penn State University

Contact

360 Leonhard Bldg., University Park, PA 16802
Tel: (814) 867-1284
nsa10@psu.edu
http://www.personal.psu.edu/nsa10/

Research Interests

  • Methodology: convex optimization, first-order methods for large-scale problems, distributed optimization, constrained optimization techniques

  • Applications: compressed sensing, robust matrix decomposition, image and video processing, machine learning, power flow optimization on electricity grids

Current Grants

  • NSF Grant CMMI-1635106, “Decentralized power flow optimization on electricity grids via distributed consensus methods”, N. S. Aybat (PI), 09/01/2016 - 08/31/2019 ($235,852)

  • NSF Grant CMMI-1400217, “Resolving Parametric Misspecification: Joint Schemes for Computation and Learning”, U. V. Shanbhag (PI), N. S. Aybat (co-PI), 08/01/2014 - 07/31/2017 ($300,000)

  • ARO Grant W911NF-17-1-0298, “Decentralized methodsnfor multi-agent problems over networks,” N. S. Aybat (PI), 07/01/17 - 03/31/18 ($60,000)

News

  • 07/17/2017: The paper titled “Decentralized Computation of Effective Resistances and Acceleration of Consensus Algorithms,” is accepted to the 2017 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP), Montreal, Canada, November 14-16, 2017.

  • 07/17/2017: The paper titled “Multi-agent Constrained Optimization of a Strongly Convex Function,” is accepted to the 2017 5th IEEE Global Conference on Signal and Information Processing (GlobalSIP), Montreal, Canada, November 14-16, 2017.

  • 07/03/2017: The paper titled “Generalized Sparse Precision Matrix Selection for Fitting Multivariate Gaussian Random Fields to Large Data Sets” is accepted to be published in Statistica Sinica.

  • 06/28/2017: Aybat received Army Research Office (ARO) grant for the project titled “Decentralized methods for multi-agent problems over networks.”

  • 05/21/2017: The paper titled “Non-Concave Network Utility Maximization: A Distributed Optimization Approach” received the IEEE INFOCOM 2017 “Best-in-Session-Presentation” award.

  • 05/07/2017: The paper titled “Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization” is accepted to be published in IEEE Transaction on Automatic Control.

  • 05/05/2017: Aybat is promoted to the rank of associate professor with tenure in the College of Engineering at Penn State.

  • 02/22/2017: I am orginizing the Nonlinear Optimization Cluster at the 2017 INFORMS annual meeting, Houston, TX, October 22-25, 2018. If you are interested in orginizing a session, please email me by March 15.

  • 02/08/2017: The symposium proposal tittled “Symposium on Distributed Optimization and Resource Management over Networks,” is accepted by IEEE GlobalSIP, Montreal, Canada, November 14-16, 2017. General Co-chairs: Amir Asif, Zhi-Quan Luo; Technical co-chairs: N. S. Aybat, Mingyi Hong, Qing Ling.

  • 01/21/2017: The paper titled “Distributed Non-Concave Network Utility Maximization in Connectionless Networks,” is accepted to the 2017 American Control Conference (ACC), Seattle, WA, USA, May 24-26, 2017.

  • 11/25/2016: The paper titled “Non-Concave Network Utility Maximization: A Distributed Optimization Approach,” is accepted to IEEE International Conference on Computer Communications (INFOCOM), Atlanta, GA, USA, May 1-4, 2017 (acceptance rate 20.93%, 292 / 1395).

  • 09/15/2016: Aybat is elected as the Vice Chair of Nonlinear Optimization SIG (Special Interest Group) of the INFORMS Optimization Society.

  • 09/09/2016: Aybat's PhD student Zi Wang successfully defended his dissertation. He has joined Monsanto Company as an Operations Research Data Scientist in April 2016.

  • 08/26/2016: Aybat's PhD student Ashkan Jasour (co-advised with Dr. Lagoa) successfully defended his dissertation, and will join the Dept. of Aeronautics and Astronautics at MIT as post-doctoral researcher in September 2016.

  • 08/22/2016: Aybat's PhD student Sam Davanloo Tajbakhsh (co-advised with Dr. del Castillo) has joined the Dept. of Integrated Systems Engineering at the Ohio State University as a tenure-track assistant professor.

  • 08/16/2016: Aybat is nominated for the Vice Chair for Nonlinear Optimization section of the INFORMS Optimization Society.

  • 08/12/2016: The paper titled “A primal-dual method for constrained consensus optimization,” is accepted to Advances in Neural Information Processing Systems (NIPS), Barcelona, Spain, December 5-10, 2016 (acceptance rate 22.72%, 568 / 2500).

  • 07/18/2016: The paper titled “Distributed primal-dual method for multi-agent sharing problem with conic constraints,” is accepted to the 50th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA.

Interesting links

Optimization Online
Nuit Blanche Compressed Sensing Blog