Makan fardad.

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Makan fardad. Things To Know About Makan fardad.

Liu et al. (2013) Sijia Liu, Makan Fardad, Engin Masazade, and Pramod K. Varshney. On optimal periodic sensor scheduling for field estimation in wireless sensor networks. In Global Conference on Signal and Information Processing (GlobalSIP), pp. 137–140. IEEE, 2013. Simonyan & Zisserman (2014) Karen Simonyan and Andrew …Authors: Fu Lin, Makan Fardad, Mihailo R. Jovanović Download PDF Abstract: We are interested in assigning a pre-specified number of nodes as leaders in order to minimize the mean-square deviation from consensus in stochastically forced networks.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)) 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.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 and Bassam Bamieh Abstract ... CA 93105-5070. email: [email protected], [email protected]. Report Documentation Page Form Approved OMB No. 0704-0188

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)) College of Engineering & Computer Science 3-189 SciTech Syracuse University New York 13244 Tel: +1 (315) 443-4406 Fax: +1 (315) 443-4936

Makan Fardad Home CV : Research Publications Google Scholar Software : Teaching ELE 400 ELE 603 : ELE 603 - Functional Methods of Engineering Analysis - Fall 2023 ... In this work, we overcome pruning ratio and GPU acceleration limitations by proposing a unified, systematic framework of structured weight pruning for DNNs, named ADAM-ADMM (Adaptive Moment Estimation-Alternating Direction Method of Multipliers). It is a framework that can be used to induce different types of structured sparsity, such as filter ...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.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).This work proposes a progressive weight pruning approach based on ADMM (Alternating Direction Method of Multipliers), a powerful technique to deal with non-convex optimization problems with potentially combinatorial constraints. Motivated by dynamic programming, the proposed method reaches extremely high pruning rate by using partial …

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 - 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. These constraints are in the form of sparsity requirements for the feedback matrix, implying that each controller has access to information from ...

Instructor: Makan Fardad 3-189 SciTech [email protected] Prerequisites: Knowledge of matrix analysis and linear algebra; pro ciency in matlab; and most importantly, willingness to learn. Course Topics: Linear algebra review; least-squares and …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.Makan Fardad and Bassam Bamieh Abstract The Nyquist Stability Criterion is generalized to systems where the (open-loop) system has infinite-dimensional input/output spaces and a (possibly) unbounded infinitesimal generator. This is done through use of the perturbationAuthors: 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))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).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 ...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 ...

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.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).Makan Fardad, Fu Lin, Mihailo R. Jovanovic. Electrical and Computer Engineering; Research output: Contribution to journal › Article › peer-review. 73 Scopus ...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, Bassam Bamieh: A Necessary and Sufficient Frequency Domain Criterion for the Passivity of SISO Sampled-Data Systems. IEEE Trans. Autom. Control. 54 (3): 611-614 (2009)

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.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.

Makan Fardad Home CV : Research Publications Google Scholar Software : Teaching ELE 400 ELE 603 : ELE 603 - Functional Methods of Engineering Analysis - Fall 2023 ...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 ...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 ...View Scopus Profile. Makan Fardad. Syracuse University, Department of Electrical Engineering & Computer Science. h-index. 2100. Citations. 22. h-index. 2001 2022. Research activity per year. Overview. Fingerprint. Network. Grants (10) Research output (82) Similar Profiles (1) Fingerprint. Dive into the research topics where Makan Fardad is active.Overview. Dr Fardad Soltani is a Clinical Research Fellow at the University of Manchester and the BHF Centre for Heart and Lung Magnetic Resonance Research (MCMR), and a …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. These constraints are in the form of sparsity requirements for the feedback matrix, implying that each controller has access to information from ...This work proposes a progressive weight pruning approach based on ADMM (Alternating Direction Method of Multipliers), a powerful technique to deal with non-convex optimization problems with potentially combinatorial constraints. Motivated by dynamic programming, the proposed method reaches extremely high pruning rate by using partial …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 ...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 ...

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.

Fardad is with the Department of Electrical Engineering and Computer Science, Syracuse University, NY 13244. E-mails: [email protected], [email protected], [email protected] 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 | 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.‪Engineering & Computer Science, Syracuse University‬ - ‪‪Cited by 3,670‬‬ - ‪Analysis and optimization of large-scale networks‬Fardad, 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).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.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.Makan Fardad and Bassam Bamieh Abstract The Nyquist Stability Criterion is generalized to systems where the (open-loop) system has infinite-dimensional input/output spaces and a (possibly) unbounded infinitesimal generator. This is done through use of the perturbationDownload 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.[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 …Instructor: Makan Fardad 3-189 SciTech [email protected] Prerequisites: Knowledge of matrix analysis and linear algebra, pro ciency in matlab, and most importantly, willingness to learn. Course Topics: Matrix analysis and linear …

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 and Bassam Bamieh Abstract The Nyquist Stability Criterion is generalized to systems where the (open-loop) system has infinite-dimensional input/output spaces and a (possibly) unbounded infinitesimal generator. This is done through use of the perturbation[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 …Instagram:https://instagram. bss honeysuckleburlington coat factory goodyearmotorcycle concord nhdmv el cajon california appointment Dads today are doing more than ever before. Dads, tell us what modern fatherhood looks like to you! What’s your defining moment as a dad? What do you do better than anyone? What’s ...Search within Makan Fardad's work. Search Search. Home; Makan Fardad manheim auction atlantaruger pc charger folding stock 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 …This work proposes a progressive weight pruning approach based on ADMM (Alternating Direction Method of Multipliers), a powerful technique to deal with non-convex optimization problems with potentially combinatorial constraints. Motivated by dynamic programming, the proposed method reaches extremely high pruning rate by using partial … h e b warehouse foster road Teaching. ELE 612/412. ELE 791. ELE 612/412 - Modern Control Systems - Spring 2024. Syllabus. Textbook. Lecture Notes. All lecture notes as one file. Homework & Solutions.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. …