Makan fardad.

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. Things To Know About Makan fardad.

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. 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 …In 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.Makan Fardad. Syracuse University, Department of Electrical Engineering & Computer Science. h-index. 2100. Citations. 22. h-index. 2001 2022. Research activity per year. …We present a systematic weight pruning framework of deep neural networks (DNNs) using the alternating direction method of multipliers (ADMM). We first formulate the weight pruning problem of DNNs as a constrained nonconvex optimization problem, and then adopt the ADMM framework for systematic weight pruning. We show that ADMM is highly suitable ...

We consider the design of optimal localized feedback gains for one-dimensional formations in which vehicles only use information from their immediate neighbors.

Syracuse University. View makan fardad’s profile on LinkedIn, the world’s largest professional community. makan has 1 job listed on their profile. See the complete profile …On 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 ...

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.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 NextAU - 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 ...author = "Engin Masazade and Makan Fardad and Varshney, {Pramod K.}", note = "Funding Information: Manuscript received July 03, 2012; revised August 21, 2012; accepted August 30, 2012. Date of publication September 21, …

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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 ...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.We multiply AT, which is n m, and B, which is k p, so we better have m = k to avoid a syntax violation. Note: if A is a scalar, then ATB might be a strange thing to write, but can be argued to not violate syntax, even though m 6=k. In a similar way, when B is scalar, you can 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 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.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. Teaching. ELE 612/412. ELE 791. ELE 791 - Convex Optimization - Spring 2024. Syllabus. Textbook. Lecture Notes. All lecture notes as one file. Homework & Solutions.

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.Mar 10, 2016 · 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 parameters. We show that the resulting collaboration ... On 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 ...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 parameters. We show that the resulting collaboration ...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 ...

Makan Fardad;Fu Lin;Mihailo R. Jovanovic. american control conference (2011) 135 Citations If you think any of the details on this page are incorrect, let us know. Contact us. Report an issue. We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: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...

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 …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 …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.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 ...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 [email protected] before the end of class. Furthermore, by mid-October students will be required to choose a research project, on which they will give an oral presentation (after Thanksgiving Break) and hand in a written report (due on the last day of classes). Students may work on their projects in groups of two, but it is crucial that both

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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).

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 ...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 networks‬Dr. 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 ... 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. 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 … College of Engineering & Computer Science 3-189 SciTech Syracuse University New York 13244 Tel: +1 (315) 443-4406 Fax: +1 (315) 443-4936 On 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 ...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 ...Kearney, Griffin ; Fardad, Makan. / On the Induction of Cascading Failures in Transportation Networks. 2018 IEEE Conference on Decision and Control, CDC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1821-1826 (Proceedings of the IEEE Conference on Decision and Control).College of Engineering & Computer Science 3-189 SciTech Syracuse University New York 13244 Tel: +1 (315) 443-4406 Fax: +1 (315) 443-4936Teaching. ELE 351. ELE 603. ELE 351 - System & Signal Analysis - Fall 2021. Syllabus. Lecture Notes. All lecture notes as one file. Textbook. Math Review.

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.Wujie 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 …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?Makan Fardad, Bassam Bamieh: A Necessary and Sufficient Frequency Domain Criterion for the Passivity of SISO Sampled-Data Systems. IEEE Trans. Autom. Control. 54 (3): …Instagram:https://instagram. estate sales cocoa beach florida Fardad is with the Department of Electrical Engineering and Computer Science, Syracuse University, NY 13244. E-mails: [email protected], [email protected], [email protected]. dsw arborland Fu Lin, Makan Fardad, Mihailo R. Jovanovic Department of Electrical Engineering & Computer Science Research output : Contribution to journal › Article › peer-reviewMakan 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. hardware store york maine 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 ... aki asian house bloomfield Tianyun Zhang, Shaokai Ye, Kaiqi Zhang, Jian Tang, Wujie Wen, Makan Fardad, Yanzhi Wang; Proceedings of 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, …College of Engineering & Computer Science 3-189 SciTech Syracuse University New York 13244 Tel: +1 (315) 443-4406 Fax: +1 (315) 443-4936 is elise ivy married Makan Fardad. Associate Professor. Electrical Engineering and Computer Science. 3-189 CST. [email protected]. 315.443.4406. Personal Website. Degree (s): BSc in Electrical …Oct 16, 2018 · Research Portal ... Powered by hustler raptor sd 60 belt 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. masterbuilt electric smoker pork shoulder 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.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 ...Makan Fardad | Papers With Code. Search Results for author: Makan Fardad. Found 11 papers, 5 papers with code. Date Published. Loss Attitude Aware Energy Management for Signal Detection. no code implementations • 18 Jan 2023 • Baocheng Geng , Chen Quan , Tianyun Zhang , Makan Fardad , Pramod K. Varshney. seafood chattanooga tn 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. rolla funeral home obituaries 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. fastest car in csr racing 2 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. ching a ling mc bronx ny 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 Engineering & Computer Science, Syracuse University Verified email at syr.edu. ... W Wen, M Fardad, Y Wang. European Conference on Computer Vision 2018 (ECCV 2018), 191-207, 2018. 526: 2018: Admm-nn: An algorithm-hardware co-design framework of dnns using alternating direction methods of multipliers.Makan Fardad; We propose a system theoretic approach to the identification and mitigation of vulnerabilities to cyber attacks, in networks of dynamical systems.