Makan fardad.

Graphs are ubiquitous across the globe and within science and engineering. With graphs growing in size, node classification on large graphs can be space and time consuming, even with powerful classifiers such as Graph Convolutional Networks (GCNs). Hence, some questions are raised, particularly, whether one can keep only some of the edges of a ...IEEE Trans. Signal Process. 71: 4146-4162 ( 2023) [c268] Chen Quan, Baocheng Geng, Yunghsiang S. Han, Pramod K. Varshney: Human-machine Hierarchical Networks for Decision Making under Byzantine Attacks. CISS 2023: 1-6. [c267] Nandan Sriranga, Baocheng Geng, Pramod K. Varshney: Sequential Processing of Observations in …Oct 16, 2018 · Tianyun Zhang, Shaokai Y e, Kaiqi Zhang, Jian T ang, Wujie W en, Makan Fardad, and Y anzhi Wang. A systematic dnn weight pruning framework using alternating direction method of multipliers. Biography Makan Fardad received the B.S. degree in electrical engineering from the Sharif University of Technology, Tehran, Iran, in 1998, the M.S. degree in electrical engineering from the Iran University of Science and Technology, Tehran, in 2000, and the Ph.D. degree in mechanical engineering from the University of California at Santa Barbara, Santa Barbara, CA, USA, in 2006.

Tianyun Zhang, Shaokai Y e, Kaiqi Zhang, Jian T ang, Wujie W en, Makan Fardad, and Y anzhi Wang. A systematic dnn weight pruning framework using alternating direction method of multipliers.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).

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Fu Lin, Makan Fardad, and Mihailo R. Jovanovic. Abstract. We design sparse and block sparse feedback gains that minimize the variance amplification (i.e., the norm) of distributed systems. Our approach consists of two steps.Makan Fardad Fardad has been a professor of electrical engineering in the Department of Electrical Engineering and Computer Science since 2008. Fardad is developing a mathematical framework that will expose the critical fragilities that exist within infrastructure networks, like the power grid, so they can be amended before causing large-scale ...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.Our team of research specialists bought and tested the best stick vacuums on the market to help you make a smart purchase. Expert Advice On Improving Your Home Videos Latest View A...

Makan Fardad (makan@syr) Mon 1:00pm--2:00pm Wed 1:00pm--2:00pm : 3-189 SciTech : Lecture Notes Lecture 1 (Mon, 13 Jan) Lecture 2 (Wed, 15 Jan) MLK Day (Mon, 20 Jan)

A systematic DNN weight pruning framework using alternating direction method of multipliers. Recommended citation: Tianyun Zhang*, Shaokai Ye * (* equal contribution), Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang European Conference on Computer Vision ECCV2018.

Sijia Liu, Member, IEEE, Yanzhi Wang, Member, IEEE Makan Fardad, Member, IEEE, and Pramod K. Varshney, Fellow, IEEE Abstract Memristors have recently received significant attention as ubiquitous device-level components for building a novel generation of computing systems. These devices have many promising features, suchIn 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.The 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 ...Makan Fardad Pron.: Maa-'kaan Far-'dad Associate Professor Electrical Engineering & Computer Science : EECS | ECS | SU: Makan Fardad Home CV : Research Publications Google Scholar Software : Teaching ELE 400 ELE 603 : ELE 603 - Functional Methods of Engineering Analysis - Fall 2023 : Syllabus : Lecture ...Makan Fardad Home CV : Research Publications Google Scholar Software : Teaching ELE 400 ELE 603 : ELE 603 - Functional Methods of Engineering Analysis - Fall 2023 ...

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], …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 ...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 ...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.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 ...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...Good morning, Quartz readers! Good morning, Quartz readers! Facebook faces an “international grand committee” of parliaments. The UK seized a number of internal Facebook documents ...

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 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.Makan Fardad [email protected] Reza Zafarani [email protected] 1 Syracuse University, Syracuse, USA 2 Cleveland State University, Cleveland, USA ing[26],oronnodeclassification[2],whichistheparticular focus of this study. In node classification, one aims to classify nodes in aWe 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 … for example Fardad_ELE612_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. 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. 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 ... Fardad, Makan; Lin, Fu ; Jovanović, Mihailo R. / On the dual decomposition of linear quadratic optimal control problems for vehicular formations. 2010 49th IEEE Conference on Decision and Control, CDC 2010. Institute of Electrical and Electronics Engineers Inc., 2010. pp. 6287-6292 (Proceedings of the IEEE Conference on Decision and Control). Makan Fardad, UCSB A Perturbation Approach to the H 2 Analysis of Spatially Periodic Systems. 1:30 . Daniel Choukroun, UCLA. A General Optimal Non-linear Sequential Filter with an Application to Mode-Estimation for Jump-Linear Systems. 2:00 . Matthew Graham, UCSD Recruiter.com Group News: This is the News-site for the company Recruiter.com Group on Markets Insider Indices Commodities Currencies Stocks

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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.

Makan 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 ...: Get the latest CSC Financial stock price and detailed information including news, historical charts and realtime prices. Indices Commodities Currencies StocksAuthors. 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. for example Fardad_ELE612_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. Indices Commodities Currencies StocksThesis title: "The Analysis of Distributed Spatially Periodic Systems". Current position: Assistant Professor, Electrical Engineering & Computer Science Dept., Syracuse University, NY. Course Number. Title. Instructor. Center for Control, Dynamical Systems and Computation • University of California, Santa Barbara. 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. Makan Fardad. [email protected]. former graduate student, Mechanical Engineering. Advisor: Bamieh. Thesis title: "The Analysis of Distributed Spatially Periodic Systems" …A systematic DNN weight pruning framework using alternating direction method of multipliers. Recommended citation: Tianyun Zhang*, Shaokai Ye * (* equal contribution), Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang European Conference on Computer Vision ECCV2018.2022 (modified: 15 Nov 2022) ISQED 2022. Adversarial Attack Generation Empowered by Min-Max Optimization. Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li. Published: 09 Nov 2021, Last …Makan Fardad. Makan Fardad. This person is not on ResearchGate, or hasn't claimed this research yet. B. Bamieh. University of California, Santa Barbara; Download full-text PDF Read full-text.

‪Engineering & Computer Science, Syracuse University‬ - ‪‪Cited by 3,690‬‬ - ‪Analysis and optimization of large-scale networks‬ 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. 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. Instagram:https://instagram. craigslist turlock californiaheavenly lift tickets costco pricekonkel park ice rinksecreto southern kitchen menu 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 …Makan Fardad (makan@syr) Mon 1:00pm--2:00pm Wed 1:00pm--2:00pm : 3-189 SciTech : Lecture Notes Lecture 1 (Mon, 13 Jan) Lecture 2 (Wed, 15 Jan) MLK Day (Mon, 20 Jan) dc audio lvl 5 15inforamc 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: 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 fancy nails harleysville pa 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). College of Engineering & Computer Science 3-189 SciTech Syracuse University New York 13244 Tel: +1 (315) 443-4406 Fax: +1 (315) 443-4936