Makan fardad.

View 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.College of Engineering and Computer Science at Syracuse University ...Makan Fardad and Bassam Bamieh Abstract The Nyquist Stability Criterion is generalized to systems where the (open-loop) system has infinite-dimensional input/output spaces and a (possibly) unbounded infinitesimal generator. This is done through use of the perturbation 2011. Design of optimal sparse interconnection graphs for synchronization of oscillator networks. M Fardad, F Lin, MR Jovanović. IEEE Transactions on Automatic Control 59 (9), 2457-2462. , 2014. 101. 2014. Optimal periodic sensor scheduling in networks of dynamical systems. S Liu, M Fardad, E Masazade, PK Varshney.

Advisor: Bassam Bamieh No students known. If you have additional information or corrections regarding this mathematician, please use the update form.To submit students of this mathematician, please use the new data form, noting this mathematician's MGP ID of 104223 for the advisor ID.

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.Shikha Nangia and Makan Fardad—faculty members in the College of Engineering and Computer Science (ECS)—have been promoted to associate professors and awarded tenure. Nangia and Fardad are nationally recognized researchers, each having earned the prestigious National Science Foundation (NSF) CAREER award in …

To address these ques-tions, we propose Sparsified Graph Convolutional Network (SGCN), a neural network graph sparsifier that sparsifies a graph by pruning some edges. We formulate sparsification as an optimization problem, which we solve by an Alternating Direction Method of Multipliers (ADMM)-based solution. Teaching. ELE 612/412. ELE 791. ELE 791 - Convex Optimization - Spring 2024. Syllabus. Textbook. Lecture Notes. All lecture notes as one file. Homework & Solutions. Prasanta Ghosh's 15 research works with 620 citations and 796 reads, including: Evaluating unintentional islanding risks for a high penetration PV feederMakan Fardad and Bassam Bamieh. A Necessary and Sufficient Frequency Domain Criterion for the Passivity of SISO Sampled-Data Systems. IEEE Transactions on Automatic Control, 54(3):611-614, March 2008. Keyword(s): Sampled-Data Systems. M. …In this work, we overcome pruning ratio and GPU acceleration limitations by proposing a unified, systematic framework of structured weight pruning for DNNs, named ADAM-ADMM (Adaptive Moment Estimation-Alternating Direction Method of Multipliers). It is a framework that can be used to induce different types of structured sparsity, such as filter ...

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All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. In International Conference on Computer Aided Design, ACM, 2022. Acceptance rate: 22.5% (132/586) [ECCV’22] Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, and Yanzhi Wang.

The average speedups reach 3.15x and 8.52x when allowing a moderate accuracy loss of 2%. In this case, the model compression for convolutional layers is 15.0x, corresponding to 11.93x measured CPU speedup. As another example, for the ResNet-18 model on the CIFAR-10 data set, we achieve an unprecedented 54.2x structured pruning rate on …AU - Fardad, Makan. AU - Bamieh, Bassam. PY - 2009. Y1 - 2009. N2 - We present a frequency domain solution to the sampled-data passivity problem. Our analysis is exact in the sense that we take into account the intersample behavior of the system.E-mail addresses:[email protected](M.R. Jovanovi´c), [email protected] (M. Fardad). The utility of input output analysis for linear time-invariant (LTI) systems is well documented (Zhou,Doyle,& Glover, 1996). TheH2 norm is an appealing measure of input output amplication, as it quanties variance amplication in stochastically driven linear systems.Jun 9, 2019 · Adversarial Attack Generation Empowered by Min-Max Optimization. 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 ... Wujie Wen2, Xue Lin 3, Makan Fardad1 & Yanzhi Wang 1. Syracuse University 2. Florida International University 3. Northeastern University Equal Contribution 1. {tzhan120,kzhang17,sye106,jli221,jtang02,makan}@syr.edu 2. [email protected] 3. {xue.lin,yanz.wang}@northeastern.edu Abstract Weight pruning methods of deep neural …

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 …‪Engineering & Computer Science, Syracuse University‬ - ‪‪Cited by 3,690‬‬ - ‪Analysis and optimization of large-scale networks‬Teaching. ELE 612/412. ELE 791. ELE 612/412 - Modern Control Systems - Spring 2024. Syllabus. Textbook. Lecture Notes. All lecture notes as one file. Homework & Solutions.Tianyun Zhang, Shaokai Ye, Yipeng Zhang, Yanzhi Wang & Makan Fardad Department of Electrical Engineeringand ComputerScience Syracuse University, Syracuse, NY 13244,USA {tzhan120,sye106,yzhan139,ywang393,makan}@syr.edu 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., ... Fardad is with the Department of Electrical Engineering and Computer Science, Syracuse University, NY 13244. E-mails: [email protected], [email protected], [email protected]. Dr Fardad Soltani is a Clinical Research Fellow at the University of Manchester and the BHF Centre for Heart and Lung Magnetic Resonance Research (MCMR), and a …

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 …

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 …We discuss how to be a better manager, including giving honest feedback, managing with positivity, communicating well, motivating employees and more. By clicking "TRY IT", I agree ...Oct 17, 2018 · Authors: 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 (Submitted on 17 Oct 2018 ( v1 ), last revised 4 Nov 2018 (this version, v2)) for example Fardad_ELE603_Hw1.pdf. Homework solutions will be posted on the class website or emailed soon after the deadline and late homework will not be accepted. While discussions on home-work problems are allowed, even encouraged, it is critical that assignments be completed individually and not as a team e ort. AU - Fardad, Makan. AU - Lin, Fu. AU - Jovanović, Mihailo R. PY - 2010. Y1 - 2010. N2 - We use the dual decomposition method along with the dual subgradient algorithm to decouple the linear quadratic optimal control problem for a system of single-integrator vehicles. This produces the optimal control law in a localized manner, in the sense ...Makan Fardad Engineering & Computer Science, Syracuse University Verified email at syr.edu Sven Leyffer Senior Computational Mathematician, Argonne National Laboratory Verified email at anl.gov Neil K Dhingra Director -- Optimization and Machine Learning Verified email at umn.eduMakan Fardad. M. Fardad On Optimality of Sparse Long-Range Links in Circulant Consensus Networks IEEE Transactions on Automatic Control, vol. 62, pp. 4050-4057, 2017. S. Liu, S. Kar, M. Fardad, and P. K. Varshney Optimized Sensor Collaboration for Estimation of Temporally Correlated Parameters IEEE Transactions on Signal Processing, vol. 64, pp ...Makan Fardad Engineering & Computer Science, Syracuse University Verified email at syr.edu. Chilukuri Mohan Professor, Electrical Eng. & Computer Science, ... S Liu, SP Chepuri, M Fardad, E Maşazade, G Leus, PK Varshney. IEEE Transactions on Signal Processing 64 (13), 3509-3522, 2016. 203: 2016:

Download 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 identical or nearly identical oscillators.

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2-212 Center of Science & Technology Syracuse University Syracuse, NY 13244 315.443.1060Prasanta Ghosh's 15 research works with 620 citations and 796 reads, including: Evaluating unintentional islanding risks for a high penetration PV feederELE791 HW3 M.Fardad 1. [B&V, problem 3.6] When is the epigraph of a function a halfspace? When is the epigraph of a function a polyhedron? 2. [B&V, problems 3.18,20] Adapt the proof of convexity of the negative log-determinant function dis-cussed in class to show that f(X) = trace(X 1) is convex on domf = Sn ++. Use this to prove theOct 16, 2018 · Research Portal ... Powered by Prasanta Ghosh's 15 research works with 620 citations and 796 reads, including: Evaluating unintentional islanding risks for a high penetration PV feederA fast centralized optimization algorithm based on the alternating direction method of multipliers (ADMM) and a low-complexity distributed version of the ADMM where each sensor makes a local sensor selection decision are developed.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.A fast centralized optimization algorithm based on the alternating direction method of multipliers (ADMM) and a low-complexity distributed version of the ADMM where each sensor makes a local sensor selection decision are developed.

AU - Fardad, Makan. AU - Jovanovic, Mihailo R. PY - 2011/12. Y1 - 2011/12. N2 - We consider the design of optimal state feedback gains subject to structural constraints on the distributed controllers.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 ...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 and employs the calculus ...Instagram:https://instagram. oak island peter fornettijamie staton newsoreillys park falls wiaboki black market today 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. pomeranian craigslist los angelesgrand ole opry tv Makan Fardad Home CV : Research Publications Google Scholar Software : Teaching ELE 400 ELE 603 : ELE 603 - Functional Methods of Engineering Analysis - Fall 2023 ... redbox not getting new movies The average speedups reach 3.15x and 8.52x when allowing a moderate accuracy loss of 2%. In this case, the model compression for convolutional layers is 15.0x, corresponding to 11.93x measured CPU speedup. As another example, for the ResNet-18 model on the CIFAR-10 data set, we achieve an unprecedented 54.2x structured pruning rate on …Makan Fardad Pron.: Maa-'kaan Far-'dad Associate Professor Electrical Engineering & Computer Science : EECS | ECS | SU: Makan Fardad Home CV : Research …AU - Fardad, Makan. AU - Bamieh, Bassam. PY - 2009. Y1 - 2009. N2 - We present a frequency domain solution to the sampled-data passivity problem. Our analysis is exact in the sense that we take into account the intersample behavior of the system.