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

  • 07/03/2017: 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