Makan fardad

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Makan fardad. 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 from

M. Fardad and B. Bamieh. An Extension of the Argument Principle and Nyquist Criterion to a Class of Systems with Unbounded Generators. IEEE Transactions on Automatic Control, 53(1):379-384, 2008. Keyword(s): Distributed and PDE Systems Theory. Makan Fardad and Bassam Bamieh.

Makan Fardad received the B.S. and M.S. degrees in electrical engineering from Sharif University of Technology and Iran University of Science and Technology, respectively. He received the Ph.D. degree in mechanical engineering from the University of California, Santa Barbara, in 2006. He was a Postdoctoral Associate at the University of …College of Engineering & Computer Science 3-189 SciTech Syracuse University New York 13244 Tel: +1 (315) 443-4406 Fax: +1 (315) 443-4936M. 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], …Even though many of us are staying home right now, you're probably going to want to put these properties on your "must visit" list for when it's safer to travel. Update: Some offer...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.

Makan Fardad. Engineering & Computer Science, Syracuse University. Verified email at syr.edu - Homepage. Analysis and optimization of large-scale networks. ... R Rajaram, U …Makan Fardad Pron.: Maa-'kaan Far-'dad Associate Professor Electrical Engineering & Computer Science : EECS | ECS | SU: Makan Fardad Home CV : Research …I am an unapologetic champion of serving a salad with Thanksgiving dinner. Even though I am completely here for the casseroles, a pile of raw leaves can cleanse the palate and invi...4. Kailath, Exercise 2.2-10.b: Realizations can have di erent numbers of states. Show that the realizations A A1 0 A2 b 0 ; c q A 0 A1 A2 b q ; c 0 and the realization fA;b;cT gall have the same transfer function for all values and (compatible) di- mensions of A1;A2;q. (Make sure to treat A;A1;A2 as matrices and not as scalars. For this problem, you will need to use 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. The electric power grid is a complex cyber-physical system, whose reliable and secure operation is of paramount importance to national security and economic vitality. There is a growing and evolving t...Tianyun Zhang, Kaiqi Zhang, Shaokai Y e, Jiayu Li, Jian T ang, Wujie W en, Xue Lin, Makan Fardad, and Y anzhi Wang. Adam-admm: A unified, systematic framework of structured weight pruning for dnns.This site is created, maintained, and managed by Conference Catalysts, LLC. Please feel free to contact us for any assistance.contact us for any assistance.

Makan Fardad Home CV : Research Publications Google Scholar Software : Teaching ELE 400 ELE 603 : ELE 603 - Functional Methods of Engineering Analysis - Fall 2023 ...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.Fu Lin, Makan Fardad, Mihailo R. Jovanovic Department of Electrical Engineering & Computer Science Research output : Contribution to journal › Article › peer-review College of Engineering & Computer Science 3-189 SciTech Syracuse University New York 13244 Tel: +1 (315) 443-4406 Fax: +1 (315) 443-4936

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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 networksDads today are doing more than ever before. Dads, tell us what modern fatherhood looks like to you! What’s your defining moment as a dad? What do you do better than anyone? What’s ...S. Liu, M. Fardad and P.K. Varshney are with the Department of Electrical Engineering and Computer Science, Syracuse University, Syracuse, NY, 13244 USA e-mail: fsliu17, makan, [email protected]. S.P. Chepuri and G. Leus are with the Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, The ...Most cable programming comes with a television receiver box. This receiver box obtains higher-end programming and unscrambles it. However, if you have the basic cable package there...Editor’s Note: The Center for Human Rights in Iran (CHRI) conducted the following interview with Iranian American musician Marjan Farsad ahead of the release of her new song, “Mahtab” (Moonlight), which was produced by CHRI. Listen to “Mahtab” on Apple Music, Spotify, and SoundCloud, and follow Marjan Farsad on Facebook and …

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 authorsIn a report released yesterday, Naz Rahman from Maxim Group maintained a Buy rating on scPharmaceuticals (SCPH – Research Report), with a ... In a report released yesterday, ...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 …Apr 26, 2024 · Makan Fardad, Associate Professor Ph.D., University of California, Santa Barbara, 2006 Comvex optimization; Design and optimal control of complex networks; Synchronization and consensus multi-agent systems. James W. Fawcett, Emeritus Teaching Professor Ph.D., Syracuse University, 1981 Software, software complexity, re-use, salvage If you drive a relatively new car, there are usually a few sensors and cameras in place to help keep you safe. Here are the six major sensors on your car you should look for and ke...‪Engineering & Computer Science, Syracuse University‬ - ‪‪Cited by 3,670‬‬ - ‪Analysis and optimization of large-scale networks‬Instructor: Makan Fardad 3-189 SciTech [email protected] Prerequisites: Knowledge of matrix analysis and linear algebra; pro ciency in matlab; and most importantly, willingness to learn. Course Topics: Linear algebra review; least-squares and …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.Makan Fardad Engineering & Computer Science, Syracuse University Verified email at syr.edu. ... J Li, T Zhang, H Tian, S Jin, M Fardad, R Zafarani. International Journal of Data Science and Analytics, 1-14, 2022. 25: 2022: The Spectral Zoo of Networks: Embedding and Visualizing Networks with Spectral Moments.Over the weekend, I hit 10,000 followers on my Facebook page. Do you know how embarrassingly long it took me to reach ten thousand followers? Six years. Six years of... Edit Your P...College of Engineering and Computer Science at Syracuse University ...

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Makan Fardad, Fu Lin, and Mihailo R. Jovanovi c´ Abstract We consider a linear quadratic optimal control problem with an additional penalty on the number of commu-nication links in the distributed controller. We reformulate this combinatorial optimization problem as a sequence of weighted `1 problems, where the weighted `1 norm approximates the Makan W Fardad lives in Fayetteville, NY. They have also lived in Ventura, CA and Syracuse, NY. Makan is related to Anna S Chernobai . View Makan's cell phone and current address. Authors. Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li. 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.ELE612 HW3 M.Fardad See attached page (from Norman Nise, Control Systems Engineering, Seventh Edition, Wiley, 2015, Chapter 2) 1. Chapter 2, Problem 52. 2. Chapter 2, Problem 53, Part a. The problem statement in the book is incomplete. It is desired to linearize the di↵erential equation for small excursions around the nominal point x 0 = 0. 3.Dr. Makan Fardad: Consensus-Based Community Detection in Dynamical Networks: Thurs, Apr 7 : Dr. Piya Pal: Smart Sampling For High Dimensional Inverse Problems: Thurs, Apr 14 : Dr. Raviraj S. Adve: Analysis, Algorithms and Design Tools for Wireless Networks: Tues, Apr 19 : Dr. Yingbin Liang: Kernel-based Detection of Anomalous Structures over ... Teaching. ELE 400. ELE 603. ELE 603 - Functional Methods of Engineering Analysis - Fall 2023. Syllabus. Lecture Notes. All lecture notes as one file. Supplementary Texts. Text 1. Fu Lin, Makan Fardad, and Mihailo R. Jovanovi´c Abstract We are interested in assigning a pre-specified number of nodes as leaders in order to minimize the mean-square deviation from consensus in stochastically forced networks. This problem arises in several applications including control of vehicular formations and localization in sensor ...Griffin M. Kearneya,b1, Makan Fardadb2 aOpB Data Insights LLC, Syracuse, NY 13224 bSyracuse University, Syracuse, NY 13244 Abstract We develop a general framework for state estimation in systems modeled with noise-polluted con-tinuous time dynamics and discrete time noisy measurements. Our approach is based on maximumAdversarial 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 ...

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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.Makan Fardad Spatially periodic systems are of interest in problems of science and engineering and are typically described by partial (integro) di↵erential equations with periodic coecients. In this work we present tools for the analysis of such systems in the spatial-frequency domain.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 …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 …Adam-admm: A unified, systematic framework of structured weight pruning for dnns. Published in ArXiv, 2018. Recommended citation: Tianyun Zhang*, Kaiqi Zhang*, Shaokai Ye*, Jiayu Li, Jian Tang, Wujie Wen, Xue Lin, Makan Fardad, Yanzhi Wang AbstractMakan Fardad Pron.: Maa-'kaan Far-'dad Assistant Professor Electrical Engineering & Computer Science : EECS | ECS | SU: Makan Fardad Home CV : Research Publications Google Scholar Software : Teaching ELE 312 ELE 603 : ELE 312 - Control Systems - Spring 2020 : Syllabus : Office Hours Makan Fardad ... 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. 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 …Device Manager is a central hub that lets you configure every component of your Windows operating system on your computer. Here's how to use it. Advertisement Your computer is a co...Authors. Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li. 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.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 … ….

The Fleetwood Wilderness is a line of travel trailers and fifth wheels. Because there are many models, the specifications vary, however there are some similarities and ranges that ...Dr. Makan Fardad: Consensus-Based Community Detection in Dynamical Networks: Thurs, Apr 7 : Dr. Piya Pal: Smart Sampling For High Dimensional Inverse Problems: Thurs, Apr 14 : Dr. Raviraj S. Adve: Analysis, Algorithms and Design Tools for Wireless Networks: Tues, Apr 19 : Dr. Yingbin Liang: Kernel-based Detection of Anomalous Structures over ...Mathematics > Optimization and Control. [Submitted on 3 Nov 2023] Optimization Based Data Enrichment Using Stochastic Dynamical System Models. Griffin …AU - Fardad, Makan. AU - Bamieh, Bassam. PY - 2004. Y1 - 2004. N2 - We present a frequency-domain solution to the sampled-data passivity problem. Our analysis is exact in that we take into account the intersample behavior of the sampled-data system. We use Frequency-Response operators and derive a necessary and sufficient condition on the ...Department of Electrical Engineering and Computer Science, Syracuse University, NY 13244, (e-mail: [email protected]) Abstract: We consider the problem of identifying optimal sparse graph representations of dense consensus networks. The performance of the sparse representation is characterized by the global performance measure which quanti es the ...Authors: Fu Lin, Makan Fardad, Mihailo R. Jovanović Download PDF Abstract: We are interested in assigning a pre-specified number of nodes as leaders in order to minimize the mean-square deviation from consensus in stochastically forced networks. 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. Abstract. In this paper, we consider the problem of sensor selection for parameter estimation with correlated measurement noise. We seek optimal sensor activations by formulating an optimization problem, in which the estimation error, given by the trace of the inverse of the Bayesian Fisher information matrix, is minimized subject to energy ... Makan fardad, [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1]