Makan fardad.

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 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.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. 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. 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 ...

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.

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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 ... Makan Fardad. Associate Professor. Electrical Engineering and Computer Science. 3-189 CST. [email protected]. 315.443.4406. Personal Website. Degree (s): BSc in Electrical Engineering, Sharif University of Technology, Iran, 1998. MSc in Control Engineering, Iran University of Science and Technology, 2000. 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 … Zhao, P, Xu, K, Zhang, T, Fardad, M, Wang, Y & Lin, X 2018, Reinforced adversarial attacks on deep neural networks using ADMM. in 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings., 8646651, 2018 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2018 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1169 ... 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.

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 oscillators.

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 ...

It is easier than ever to keep track of and reconnect with old friends with today's modern technology. One popular way to keep in touch with friends is through email. Here are some...Fardad Makan; Fardad Makan. Skip slideshow. Most frequent co-Author ...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.Li J, Zhang T, Tian H, Jin S, Fardad M, Zafarani R. SGCN: A Graph Sparsifier Based on Graph Convolutional Networks . In Lauw HW, Lim EP, Wong RCW, Ntoulas A, Ng SK, Pan SJ, editors, Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Proceedings.Makan Fardad. [email protected]. former graduate student, Mechanical Engineering. Advisor: Bamieh. Thesis title: "The Analysis of Distributed Spatially Periodic Systems" …Sijia Liu Member, IEEE, Swarnendu Kar, Member, IEEE, Makan Fardad, Member, IEEE, and Pramod K. Varshney Fellow, IEEE Abstract—In this paper, we aim to design the optimal sen-sor collaboration strategy for the ... M. Fardad was supported by the National Science Foundation under awards EAGER ECCS-1545270 and CNS-1329885. prior to …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 …

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 ...Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang; The European Conference on Computer Vision (ECCV), 2018, pp. 184-199 Abstract Weight pruning methods for deep neural networks (DNNs) have been investigated recently, but prior work in this area is mainly heuristic, iterative pruning, thereby lacking …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.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.eduRecommended citation: Li, Jiayu, Tianyun Zhang, Hao Tian, Shengmin Jin, Makan Fardad, and Reza Zafarani. “SGCN: A Graph Sparsifier Based on Graph Convolutional Networks.” Advances in Knowledge Discovery and Data Mining 12084: 275. Share on Twitter Facebook LinkedIn Previous NextWujie 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 …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...

ELE791 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 the

Fardad Mobin, MD Board Certified Neurosurgeon located in Beverly Hills, CA. Fardad Mobin, MD is a highly skilled, board-certified neurosurgeon with considerable experience in treating a number of spinal disorders. At his practice, Mobin Neurosurgery, Dr. Mobin is dedicated to the diagnosis, treatment, and care of patients in Beverly Hills ...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 ...Makan Fardad and Bassam Bamieh Abstract ... CA 93105-5070. email: [email protected], [email protected]. Report Documentation Page Form Approved OMB No. 0704-0188On Stability and the Spectrum Determined Growth Condition f or. Spatially Periodic Systems. Makan Fardad and Bassam Bamieh. Abstract —We consider distributed parameter systems where. the ...Many people associate depression with sadness, but there are other signs, too. Learn about depression without sadness here. Most people associate depression with excessive sadness ...Recommended citation: Li, Jiayu, Tianyun Zhang, Hao Tian, Shengmin Jin, Makan Fardad, and Reza Zafarani. “SGCN: A Graph Sparsifier Based on Graph Convolutional Networks.” Advances in Knowledge Discovery and Data Mining 12084: 275. Share on Twitter Facebook LinkedIn Previous NextFardad Mobin, MD is a highly skilled, board-certified neurosurgeon with considerable experience in treating a number of spinal disorders. At his practice, Mobin Neurosurgery, Dr. Mobin is dedicated to the diagnosis, treatment, and care of patients in Beverly Hills, California, providing them with much-needed relief from spinal pain.

Specialties: Fardad Mobin, MD is a highly skilled, board-certified neurosurgeon with considerable experience in treating a number of spinal disorders. At his practice, Mobin Neurosurgery, Dr. Mobin is dedicated to the diagnosis, treatment, and care of patients in Beverly Hills, California, providing them with much-needed relief from spinal pain. With …

Makan Fardad Home CV : Research Publications Google Scholar Software : Teaching ELE 400 ELE 603 : ELE/CSE 400 - Networks & Optimization Seminar - Fall 2023 : ...

: Get the latest CSC Financial stock price and detailed information including news, historical charts and realtime prices. Indices Commodities Currencies StocksAn 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 …Japan and Singapore tie for most powerful passports granting visa-free access. Of nearly 200 passports, Japan's passport reigns as the most powerful passport in the world for the f...PROGRESSIVE WEIGHT PRUNING OF DEEP NEURAL NETWORKS USING ADMM Shaokai Ye 1, Tianyun Zhang , Kaiqi Zhang , Jiayu Li1, Kaidi Xu2, Yunfei Yang, Fuxun Yu3, Jian Tang 1, Makan Fardad , Sijia Liu4, Xiang Chen3, Xue Lin2 & Yanzhi Wang2 1. Syracuse University, USA fsye106,tzhan120,kzhang17,jli221,jtang02,[email protected] …CASE 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 ...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 networksAU - 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.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 , last revised 4 Nov 2018 (this version, v2)) Abstract: Deep neural networks (DNNs) although achieving human-level performance in many domains, … 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. Adversarial Attack Generation Empowered by Min-Max Optimization Jingkang Wang1 ;2 Tianyun Zhang3 Sijia Liu4 5 Pin-Yu Chen5 Jiacen Xu6 Makan Fardad7 Bo Li8 University of Toronto1, Vector Institute2, Cleveland State University3 Michigan State University4, MIT-IBM Watson AI Lab, IBM Research5 University of California, Irvine6, Syracuse …

Deep neural networks (DNNs) although achieving human-level performance in many domains, have very large model size that hinders their broader applications on edge computing devices. Extensive research work have been conducted on DNN model compression or pruning. However, most of the previous work took heuristic approaches. …Makan Fardad, Member, IEEE, Mihailo R. Jovanovic ´, Member, IEEE . Abstract . We consider the design of optimal localized feedback gains for one-dimensional formations in which vehicles only use information from their immediate neighbors. The control objective is to enhance coherence of the formation by making it behave like a rigid lattice.CASE 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 ...Takk. Coffee House & Brunch Kitchen. 6 Tariff Street. Manchester M1 2FF. Opening Hours. Mon - Fri 09.00 - 16.00. Sat 10.00 - 16.00. Sun 10.00 - 16.00. Find on Google Maps. Takk …Instagram:https://instagram. navos radio customer servicecrumbl ontario menukayla gaskinthe boston globe obits by town ‪Engineering & Computer Science, Syracuse University‬ - ‪‪Cited by 3,670‬‬ - ‪Analysis and optimization of large-scale networks‬ winterfest atl239 east 116th street Li, J, Zhang, T, Tian, H, Jin, S, Fardad, M & Zafarani, R 2020, SGCN: A Graph Sparsifier Based on Graph Convolutional Networks. in HW Lauw, E-P Lim, RC-W Wong, A Ntoulas, S-K Ng & SJ Pan (eds), Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Proceedings. Lecture Notes in Computer Science … brian wells head Takk. Coffee House & Brunch Kitchen. 6 Tariff Street. Manchester M1 2FF. Opening Hours. Mon - Fri 09.00 - 16.00. Sat 10.00 - 16.00. Sun 10.00 - 16.00. Find on Google Maps. Takk …/ 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 contributionAbstract. 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.