Makan fardad.

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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Jian Tang 1, Makan Fardad , Sijia Liu4, Xiang Chen3, Xue Lin2 & Yanzhi Wang2 1. Syracuse University, USA fsye106,tzhan120,kzhang17,jli221,jtang02,[email protected] 2. Northeastern University, USA 3. George Mason University, USA 4. MIT-IBM Watson AI Lab, IBM Research Equal Contribution ABSTRACTCASE 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 ...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 …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 …Aug 27, 2014 · 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.

We introduce a new memristor-based optimization framework that combines the computational merit of memristor crossbars with the advantages of an operator splitting method, alternating direction method of multipliers (ADMM). Here, ADMM helps in splitting a complex optimization problem into subproblems that involve the solution of systems of ...

College of Engineering and Computer Science at Syracuse University ...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 Notes ...

EE263 Prof. S. Boyd Crimes Against Matrices In this note we list some matrix crimes that we have, sadly, witnessed too often. Be very careful to avoid committing any of these crimes; in EE263 we have a zero-tolerance policy forGrief after a deeply-felt loss can range from a sadness that lingers, always hovering in the background, to a total emotional upheaval that turns your entire world upside down. Upd...Grief after a deeply-felt loss can range from a sadness that lingers, always hovering in the background, to a total emotional upheaval that turns your entire world upside down. Upd...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 …

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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

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.Makan Fardad Pron.: Maa-'kaan Far-'dad Associate Professor Electrical Engineering & Computer Science : EECS | ECS | SU: Makan Fardad Home CV : Research … 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 Makan Fardad Home CV : Research Publications Google Scholar Software : Teaching ELE 400 ELE 603 : ELE/CSE 400 - Networks & Optimization Seminar - Fall 2023 : ...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 ...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., 2015. pp. 4030-4034 (ICASSP, IEEE ...

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.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 ...College of Engineering and Computer Science at Syracuse University ...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.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 …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 ...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 ...

Makan Fardad; We propose a system theoretic approach to the identification and mitigation of vulnerabilities to cyber attacks, in networks of dynamical systems.

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., 2015. pp. 4030-4034 (ICASSP, IEEE ... 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. College of Engineering & Computer Science 3-189 SciTech Syracuse University New York 13244 Tel: +1 (315) 443-4406 Fax: +1 (315) 443-4936 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 ...Assistant Professor Makan Fardad is exposing minor failures in infrastructure networks to stop them from snowballing into full-blown catastrophes.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.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.

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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 Notes ...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., ...Makan Fardad Pron.: Maa-'kaan Far-'dad Associate Professor Electrical Engineering & Computer Science : EECS | ECS | SU: Makan Fardad Home CV : Research …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 …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)Vouchers issued by British Airways for flights canceled due to the pandemic are now valid for travel until September 2024 — here's all you need to know. Still sitting on a British ...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 …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 …

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).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. M. Fardad 1 MakanMMakanakan FFFardardardadadad Electrical Eng. & Computer Sci. Tel: (805) 280{1232 3-189 SciTech, Syracuse Univ. Email: [email protected] Instagram:https://instagram. paper savings bonds calculator Oct 16, 2018 · Research Portal ... Powered by food giant weekly ad ripley ms 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. 5 tool east texas The inherently borderless nature of gaming is coming into play in a new way in the coronavirus economy; and it's not just because esports are online. There’s a quote I like to say ...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- pcl5 electron dot structure College of Engineering & Computer Science 3-189 SciTech Syracuse University New York 13244 Tel: +1 (315) 443-4406 Fax: +1 (315) 443-4936 2.6. Jul 31st, 2023. The social life is pretty nice unless you're introverted, however, there are clubs that help students make friends. Certain professors lack motivation or skill to teach, as a student, it is frustrating when alumni talk about how great certain aspects of the school are when they're non-existent. quiktrip memphis Makan 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. Fardad and B. …Makan Fardad. [email protected]. former graduate student, Mechanical Engineering. Advisor: Bamieh. Thesis title: "The Analysis of Distributed Spatially Periodic Systems" … movies in shawnee 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 ... south lincoln restaurants 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 Next 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. Nevertheless, min-max optimization beyond the purpose of AT has not been rigorously explored in the adversarial context. arrest.org brevard 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. Makan Fardad Pron.: Maa-'kaan Far-'dad Associate Professor Electrical Engineering & Computer Science : EECS | ECS | SU best 556 suppresor AU - Fardad, Makan. PY - 2008/8. Y1 - 2008/8. N2 - We consider a class of linear time-periodic systems in which the dynamical generator A (t) represents the sum of a stable time-invariant operator A0 and a small-amplitude zero-mean T-periodic operator ε{lunate} Ap (t). pine run mobile home park Makan Fardad Home CV : Research Publications Google Scholar Software : Teaching ELE 400 ELE 603 : ELE/CSE 400 - Networks & Optimization Seminar - Fall 2023 : ... craigslist long island general labor 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 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.