Makan fardad.

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, 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. 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 ... ‪Engineering & Computer Science, Syracuse University‬ - ‪‪Cited by 3,690‬‬ - ‪Analysis and optimization of large-scale networks‬ 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 networks

Makan Fardad Home CV : Research Publications Google Scholar Software : Teaching ELE 612/412 ELE 791 : College of Engineering & Computer Science 3-189 SciTech 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 ...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))

Oct 16, 2018 · Research Portal ... Powered by 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 maximum

R. Rajaram wishes to thank Umesh Vaidya and Makan Fardad for their suggestions in writing this article. Reprints and Permissions. Please note: We are unable to provide a copy of the article, please see our help page How do I view content?Rajdoot Tandoori – Manchester Indian Restaurant. Celebrating 52 years in Manchester. Book a table. Welcome to authentic, North Indian cuisine with a Nepalese twist in the …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.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.

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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 ...

We consider the design of optimal localized feedback gains for one-dimensional formations in which vehicles only use information from their immediate neighbors.[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 spatiallyFardad 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 ...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, …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.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 …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. This work proposes a progressive weight pruning approach based on ADMM ...

Sparsified Graph Convolutional Network (SGCN), a neu-ral network graph sparsifier to prune the input graph to GCN without losing much accuracy in node classification. We formulate graph sparsification as an optimization prob-lem, which we efficiently solve via the Alternating Direction Method of Multipliers (ADMM) [3].Jingkang Wang, Tianyun Zhang, Sijia Liu, Pin-Yu Chen, Jiacen Xu, Makan Fardad, Bo Li NeurIPS 2021. Revisit the strength of min-max optimization in the context of adversarial attack generation Reproduce Main Results. Please check neurips21 folder for reproducing the robust adversarial attack results presented in the paper. 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. [TNNLS] Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Xiaolong Ma, Ning Liu, Linfeng Zhang, Jian Tang, Kaisheng Ma, Xue Lin, Makan Fardad, Yanzhi Wang, “StructADMM: A Systematic, High-Efficiency Framework of Structured Weight Pruning for DNNs”, in Proceedings of the IEEE Transactions on Neural Networks and Learning Systems …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 …

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.

Makan Fardad Pron.: Maa-'kaan Far-'dad Associate Professor Electrical Engineering & Computer Science : EECS | ECS | SU: Makan Fardad Home CV : Research … 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 ... Makan Fardad; We propose a system theoretic approach to the identification and mitigation of vulnerabilities to cyber attacks, in networks of dynamical systems.2-212 Center of Science & Technology Syracuse University Syracuse, NY 13244 315.443.1060Stress is hard on your mind and your body, but whether it’s in the moment or chronic stress, you’re not helpless. This graphic has 15 solid suggestions to deal with stress, some of...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 ...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...

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Makan Fardad. We propose a definition of almost Toeplitz matrices as matrices with off-diagonal decay that are close to begin Toeplitz in their center columns and decrease in Toeplitzness toward ...

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 NextMakan Fardad Pron.: Maa-'kaan Far-'dad Associate Professor Electrical Engineering & Computer Science : EECS | ECS | SU: Makan Fardad Home CV : Research …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}, …Makan Fardad Home CV : Research Publications Google Scholar Software : Teaching ELE 612/412 ELE 791 : College of Engineering & Computer Science 3-189 SciTech 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 ...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 …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 Pron.: Maa-'kaan Far-'dad Associate Professor Electrical Engineering & Computer Science : EECS | ECS | SU: Makan Fardad Home CV : Research … 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. 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. 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}, …

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 ...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 …Instagram:https://instagram. braddock inn pa 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 ... ox car care commercial spokeswoman Investigating Shocks to the System, Fardad Receives CAREER Award. Friday, April 27, 2018, By Matt Wheeler. Awards College of Engineering and Computer Science faculty. Makan Fardad. On an average day in India not so long ago, the circuit breakers on a single powerline got tripped. That caused the breakers on another line to …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 ... ollie's bargain outlet fort wayne photos 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 … directions to gate city virginia 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. jim sciutto cnn salary 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 ... h2h points fantasy baseball rankings 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., ... citadel mall theater Makan Fardad (Principal Investigator) [email protected]; Recipient Sponsored Research Office: Syracuse University 900 S CROUSE AVE SYRACUSE NY US 13244-4407 (315)443-2807: Sponsor Congressional District: 22: Primary Place of Performance: Syracuse University Syracuse NY US 13244-1200: Primary Place of Performance Congressional District: 22: Unique ...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. vince vaughn mackinac island Wayfinding and information design is on the frontlines in Ukraine Ukravtodor, the state agency in charge of Ukraine’s highways and road signs, is playing a tactical role in slowing...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. ihop collinsville il 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). composite recruiting rankings 2024 ‪Engineering & Computer Science, Syracuse University‬ - ‪‪Cited by 3,670‬‬ - ‪Analysis and optimization of large-scale networks‬ 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 networks is 24 7 lending group legitimate 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., the H 2 norm) of distributed systems. Our approach consists of two steps. First, we identify sparsity 3 code implementations • ECCV 2018 • Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang We first formulate the weight pruning problem of DNNs as a nonconvex optimization problem with combinatorial constraints specifying the sparsity requirements, and then adopt the ADMM framework for …