Makan fardad.

Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang & Makan Fardad Department of Electrical Engineering and Computer Science Syracuse University, Syracuse, NY 13244, USA ftzhan120,sye106,yzhan139,ywang393,[email protected] ABSTRACT We present a systematic weight pruning framework of deep neural networksFu Lin, Makan Fardad, and Mihailo R. Jovanovi´c Abstract We design sparse and block sparse feedback gains that minimize the variance amplification (i.e., the H 2 norm) of distributed systems. Our approach consists of two steps. First, we identify sparsityView the profiles of professionals named "Makan Fardad" on LinkedIn. There are 2 professionals named "Makan Fardad", who use LinkedIn to exchange information, ideas, and opportunities. Makan Fardad Pron.: Maa-'kaan Far-'dad Associate Professor Electrical Engineering & Computer Science : EECS | ECS | SU

M. Fardad is with the Department of Electrical Engineering and Computer Science, Syracuse University, New York 13244 (e-mail: [email protected]). of the algebraic Riccati equation A P+PA Q 2 = 0 with Toeplitz coefficients A;Q( d A= Q= 2) then P can be of the same order as N. Thus, based on the definition of almost Toeplitzness proposed by [1], …Makan Fardad Engineering & Computer Science, Syracuse University Verified email at syr.edu. ... W Wen, M Fardad, Y Wang. European Conference on Computer Vision 2018 (ECCV 2018), 191-207, 2018. 526: 2018: Admm-nn: An algorithm-hardware co-design framework of dnns using alternating direction methods of multipliers.AU - Fardad, Makan. AU - Jovanovic, Mihailo. PY - 2013. Y1 - 2013. N2 - We design sparse and block sparse feedback gains that minimize the variance amplification (i.e., the {\cal H}2 norm) of distributed systems. Our approach consists of two steps. First, we identify sparsity patterns of feedback gains by incorporating sparsity-promoting ...

College of Engineering & Computer Science 3-189 SciTech Syracuse University New York 13244 Tel: +1 (315) 443-4406 Fax: +1 (315) 443-4936

UFO Rumors and the Government - UFO rumors and the government go hand in hand. Read about rumors of UFO cover-ups from Edwards AFB to Spitsbergen, Norway to Chesapeake Bay. Adverti... Teaching. ELE 612/412. ELE 791. ELE 791 - Convex Optimization - Spring 2024. Syllabus. Textbook. Lecture Notes. All lecture notes as one file. Homework & Solutions. Optimization Based Data Enrichment Using Stochastic Dynamical System Models. Griffin M. Kearney, Makan Fardad. We develop a general framework for state estimation in systems modeled with noise-polluted continuous time dynamics and discrete time noisy measurements. Our approach is based on maximum likelihood estimation …In this paper, we propose a unified DNN weight pruning framework with dynamically updated regularization terms bounded by the designated constraint. Our proposed method increases the compression rate, reduces the training time and reduces the number of hyper-parameters compared with state-of-the-art ADMM-based hard constraint method.

Authors: Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Xiaolong Ma, Ning Liu, Linfeng Zhang, Jian Tang, Kaisheng Ma, Xue Lin, Makan Fardad, Yanzhi Wang View a PDF of the paper titled StructADMM: A Systematic, High-Efficiency Framework of Structured Weight Pruning for DNNs, by Tianyun Zhang and 9 other authors

Liu, Sijia ; Masazade, Engin ; Fardad, Makan et al. / Sensor selection with correlated measurements for target tracking in wireless sensor networks. 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 4030-4034 (ICASSP, IEEE ...

Abstract. The worst-case training principle that minimizes the maximal adversarial loss, also known as adversarial training (AT), has shown to be a state-of-the-art approach for enhancing adversarial robustness. Nevertheless, min-max optimization beyond the purpose of AT has not been rigorously explored in the adversarial context.: Get the latest Home Depot stock price and detailed information including news, historical charts and realtime prices. Indices Commodities Currencies StocksCASE is New York State’s premier applied research center for interdisciplinary expertise in complex information-intensive systems, including monitoring and control, predictive analysis, intelligence, security, and assurance. CASE has been a designated New York State Center of Advanced Technology (CAT) since 1984, bringing together traditional ...Makan Fardad, Fu Lin, and Mihailo R. Jovanovi´c Abstract We study the optimal design of a conductance network as a means for synchronizing a given set of oscillators. Synchronization is achieved when all oscillator voltages reach consensus, and performance is quantified by the mean-square deviation from the consensus value.[20]M. Fardad and B. Bamieh, \A necessary and su cient frequency domain criterion for the passivity of SISO sampled-data systems," IEEE Transactions on Automatic Control, vol. 54, no. 3, pp. 611{614, 2009. [21]M. Fardad and B. Bamieh, \Perturbation methods in stability and norm analysis of spatiallyDownload a PDF of the paper titled Design of optimal sparse interconnection graphs for synchronization of oscillator networks, by Makan Fardad and 2 other authors Download PDF Abstract: We study the optimal design of a conductance network as a means for synchronizing a given set of oscillators.

Indices Commodities Currencies StocksDiscover how to change your sales approach, focusing on product qualified leads who are more likely to become paying customers after trying your product. Trusted by business builde...Teaching. ELE 612/412. ELE 791. ELE 791 - Convex Optimization - Spring 2024. Syllabus. Textbook. Lecture Notes. All lecture notes as one file. Homework & Solutions.Fu Lin, Makan Fardad, and Mihailo R. Jovanovi´c Abstract We design sparse and block sparse feedback gains that minimize the variance amplification (i.e., ... Fardad is with the Department of Electrical Engineering and Computer Science, Syracuse University, NY 13244. E-mails: [email protected], [email protected], [email protected]./ Kearney, Griffin; Fardad, Makan. 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1821-1826 8619519 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December). Research output: Chapter in Book/Entry/Poem › Conference contributionWe introduce a new memristor-based optimization framework that combines the computational merit of memristor crossbars with the advantages of an operator splitting method, alternating direction method of multipliers (ADMM). Here, ADMM helps in splitting a complex optimization problem into subproblems that involve the solution of systems of ...

Sparsity-Aware Sensor Collaboration for Linear Coherent Estimation. Sijia Liu, Swarnendu Kar, Makan Fardad, Pramod K. Varshney. In the context of distributed estimation, we consider the problem of sensor collaboration, which refers to the act of sharing measurements with neighboring sensors prior to transmission to a fusion center.Fu Lin, Makan Fardad, and Mihailo R. Jovanović Abstract— We design sparse and block sparse feedback gains that mini- mize the variance amplification (i.e., the norm) of distributed systems.

We consider the design of optimal state feedback gains subject to structural constraints on the distributed controllers. These constraints are in the form of sparsity requirements for the feedback matrix, implying that each controller has access to information from only a limited number of subsystems. The minimizer of this constrained optimal control problem is …Optimization Based Data Enrichment Using Stochastic Dynamical System Models. Griffin M. Kearney, Makan Fardad. We develop a general framework for state estimation in systems modeled with noise-polluted continuous time dynamics and discrete time noisy measurements. Our approach is based on maximum likelihood estimation …DOI: 10.1007/978-3-030-47426-3_22 Corpus ID: 218593867; SGCN: A Graph Sparsifier Based on Graph Convolutional Networks @article{Li2020SGCNAG, title={SGCN: A Graph Sparsifier Based on Graph Convolutional Networks}, author={Jiayu Li and Tianyun Zhang and Hao Tian and Shengmin Jin and Makan Fardad and Reza Zafarani}, …From elevated welcome bonuses to hotel promotions aimed directly at homebound travelers, there’s something for everyone. Update: Some offers mentioned below are no longer available...Syracuse University. New York 13244. Tel: +1 (315) 443-4406. Fax: +1 (315) 443-4936. Email: [email protected] where x=makan, y=syr, z=edu. Research Interests. Convex optimization. Design and optimal control of complex networks. Synchronization and consensus in multi-agent systems.Progressive weight pruning of deep neural networks using admm. Published in ArXiv, 2018. Recommended citation: Shaokai Ye*, Tianyun Zhang*, Kaiqi Zhang* , Jiayu Li, Kaidi Xu, Yunfei Yang, Fuxun Yu, Jian Tang, Makan Fardad, Sijia Liu, Xiang Chen, Xue Lin, Yanzhi Wang Abstract. Deep neural networks (DNNs) although achieving human-level …Fardad, Makan ; Lin, Fu ; Jovanović, Mihailo R. / Sparsity-promoting optimal control for a class of distributed systems. Proceedings of the 2011 American Control Conference, ACC 2011. Institute of Electrical and Electronics Engineers Inc., 2011. pp. 2050-2055 (Proceedings of the American Control Conference).

College of Engineering & Computer Science 3-189 SciTech Syracuse University New York 13244 Tel: +1 (315) 443-4406 Fax: +1 (315) 443-4936

Assistant Professor Makan Fardad is exposing minor failures in infrastructure networks to stop them from snowballing into full-blown catastrophes.

In this paper, we aim to design the optimal sensor collaboration strategy for the estimation of time-varying parameters, where collaboration refers to the act of sharing measurements with neighboring sensors prior to transmission to a fusion center. We begin by addressing the sensor collaboration problem for the estimation of uncorrelated parameters. We show that the resulting collaboration ...Makan Fardad. Associate Professor. Electrical Engineering and Computer Science. 3-189 CST. [email protected]. 315.443.4406. Personal Website. Degree (s): BSc in Electrical …This work develops an alternating descent method to determine the structured optimal gain using the augmented Lagrangian method, and utilizes the sensitivity interpretation of the Lagrange multiplier to identify favorable communication architectures for structured optimal design. We consider the design of optimal state feedback gains … College of Engineering & Computer Science 3-189 SciTech Syracuse University New York 13244 Tel: +1 (315) 443-4406 Fax: +1 (315) 443-4936 We consider the design of optimal state feedback gains subject to structural constraints on the distributed controllers. These constraints are in the form of sparsity requirements for the feedback matrix, implying that each controller has access to information from only a limited number of subsystems. The minimizer of this constrained optimal control problem is sought using the augmented ...Fu Lin, Makan Fardad, and Mihailo R. Jovanovic Abstract— We consider the design of optimal state feedback gains subject to structural constraints on the distributed controllers.Fu Lin, Makan Fardad, and Mihailo R. Jovanovic´ Abstract—We consider the design of optimal state feedback gains subject to structural constraints on the distributed controllers. These constraints are in the form of sparsity requirements for the feedback matrix, implying that each controller has access to information fromThe M.S. in Operations Research and System Analytics is a 30-credit program that comprises 15 credits of core coursework, 12 credits of relevant electives, and 3 credits of a capstone project. The core ensures that all graduates of the program have the necessary skills in mathematics, operations research, engineering, and computing to formulate ...

An iterative algorithm that solves a semidefinite program at every stage and for which the nonconvex constraint is satisfied upon convergence is introduced, which can be used in a wide range of network control problems. We consider the problem of finding optimal feedback gains in the presence of structural constraints and/or sparsity …Makan Fardad Optimal sparse network design in large-scale dynamical systems. Back to Active Faculty. 2-212 Center of Science & Technology Syracuse University Syracuse, NY 13244 315.443.1060. CASE is a NYSTAR-designated Center for Advanced Technology (CAT). SU CASE Resource Links ...Makan Fardad. Engineering & Computer Science, Syracuse University. Verified email at syr.edu - Homepage. Analysis and optimization of large-scale networks. ... R Rajaram, U …Instagram:https://instagram. l 8 spectrum cable boxcolt trooper mark 3 valuefour strand twist dreadswho was big l in bmf An iterative algorithm that solves a semidefinite program at every stage and for which the nonconvex constraint is satisfied upon convergence is introduced, which can be used in a wide range of network control problems. We consider the problem of finding optimal feedback gains in the presence of structural constraints and/or sparsity … newburgh plane crash 2023jeeter juice carts real A Unified DNN Weight Pruning Framework Using Reweighted Optimization Methods. T Zhang, X Ma, Z Zhan, S Zhou, C Ding, M Fardad, Y Wang. 2021 58th ACM/IEEE Design Automation Conference (DAC), 493-498. , 2021. 26 *. 2021. An image enhancing pattern-based sparsity for real-time inference on mobile devices. who is grayson smiley mother and father Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang, Makan Fardad. 12 Feb 2018 (modified: 12 Feb 2018) ICLR 2018 Workshop Submission Readers: Everyone. Abstract: We present a systematic weight pruning framework of deep neural networks (DNNs) using the alternating direction method of multipliers (ADMM).We consider the design of optimal state feedback gains subject to structural constraints on the distributed controllers. These constraints are in the form of sparsity requirements for the feedback matrix, implying that each controller has access to information from only a limited number of subsystems. The minimizer of this constrained optimal control problem … View Makan Fardad’s professional profile on LinkedIn. LinkedIn is the world’s largest business network, helping professionals like Makan Fardad discover inside connections to recommended job ...