Assistant Professor
Department of Mechanical Engineering
Department of Electrical and Computer Engineering (Cooperating)
Department of Bioengineering (Cooperating)
University of California, Riverside
E-mail: erfan[dot]nozari[at]ucr[dot]edu
I am an Assistant Professor at UCR Department of Mechanical Engineering. Prior to this I was a Postdoctoral Researcher at the University of Pennsylvania under the joint supervision of Prof. George Pappas and Prof. Danielle S. Bassett. I received my B.Sc. in Electrical Engineering-Control from Isfahan University of Technology, Iran in 2013 and an interdisciplinary (joint) Ph.D. in Engineering Sciences (Mechanical Engineering) and Cognitive Science under the supervision of Prof. Jorge Cortes from University of California San Diego in 2019.
● Dynamical Systems and Control Theory
● Theoretical and Computational Neuroscience
● System Identification and Machine Learning
● Systems and Network Neuroscience
● Complex Systems and Network Science
Whole-brain causal connectivity during decoded neurofeedback: a meta study
F. Arab, A. E. Ghassami, H. Jamalabadi, M. A. K. Peters, E. Nozari
Submitted
PDF
biorXiv
BibTeX
Linear-Threshold Network Models for Describing and Analyzing Brain Dynamics
M. McCreesh, E. Nozari, J. Cortes
Submitted
PDF
arXiv
BibTeX
Whole-Brain Causal Discovery Using fMRI
F. Arab, A. E. Ghassami, H. Jamalabadi, M. A. K. Peters, E. Nozari
Network Neuroscience, in press
PDF
biorXiv
BibTeX
Predictive Modeling of Evoked Intracranial EEG Response to Medial Temporal Lobe Stimulation in Patients with Epilepsy
G. Acharya, K. A. Davis, E. Nozari
Communications Biology, Vol. 7, No. 1, p. 1210, 2024
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SpringerNature
biorXiv
BibTeX
Optimal Decoding of Neural Dynamics Occurs at Mesoscale Spatial and Temporal Resolutions
T. Samiei, Z. Zou, M. Imani, E. Nozari
Frontiers in Cellular Neuroscience, Vol. 18, 2024
PDF
Frontiers
biorXiv
BibTeX
Macroscopic resting-state brain dynamics are best described by linear models
E. Nozari, M. A. Bertolero, J. Stiso, L. Caciagli, E. J. Cornblath, X. He, A. S. Mahadevan, G. J. Pappas, D. S. Bassett
Nature Biomedical Engineering, 2023
PDF
SpringerNature
bioRxiv
Slides
BibTeX
Special Section on Analysis and control design for neurodynamics
S. Pequito, E. Nozari, F. Pasqualetti
Annual Reviews in Control, Vol. 54, 2022, pp. 324-326
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ScienceDirect
BibTeX
Brain Modeling for Control: A Review
G. Acharya, S. F. Ruf, E. Nozari
Frontiers in Control Engineering, Vol. 3, 2022
PDF
Frontiers
arXiv
BibTeX
Network controllability measures of subnetworks: implications for neurosciences
J. E. Stocker, E. Nozari, M. van Vugt, A. Jansen, H. Jamalabadi
Journal of Neural Engineering, Vol. 20, No. 1, 2023, p. 016044
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IOPscience
biorXiv
BibTeX
Interrelated effects of age and parenthood on whole-brain controllability: protective effects of parenthood in mothers
H. Jamalabadi, T. Hahn, N. R. Winter, E. Nozari, J. Ernsting, S. Meinert, E. Leehr, K. Dohm, J. Bauer, J. Pfarr, F. Stein, F. Thomas-Odenthal, K. Brosch, M. Mauritz, M. Gruber, J. Repple, T. Kaufmann, A. Krug, I. Nenadic, T. Kircher, U. Dannlowski, B. Derntl
Frontiers in Aging Neuroscience, Vol. 15, 2023
PDF
Frontiers
biorXiv
BibTeX
Towards a Network Control Theory of Electroconvulsive Therapy Response
T. Hahn, H. Jamalabadi, E. Nozari, N. R. Winter, J. Ernsting, M. Gruber, M. J. Mauritz, P. Grumbach, L. Fisch, R. Leenings, K. Sarink, J. Blanke, L. Kleine-Vennekate, D. Emden, N. Opel, D. Grotegerd, V. Enneking, S. Meinert, T. Borgers, M. Klug, L. Leehr, K. Dohm, W. Heindel, J. Groß, U. Dannlowski, R. Redlich, J. Repple
PNAS Nexus, Vol. 2, No. 2, 2023, p. pgad032
PDF
Oxford University Press
arXiv
BibTeX
Structural Characterization of Oscillations in Brain Networks with Rate Dynamics
E. Nozari, R. Planas, J. Cortes
Automatica, Vol. 146, December 2022, p. 110653
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ScienceDirect
arXiv
BibTeX
Teaching Recurrent Neural Networks to Modify Chaotic Memories by Example
J. Kim, Z. Lu, E. Nozari, G. J. Pappas, D. S. Bassett
Nature Machine Intelligence, Vol. 3, 2021, pp. 316-323
PDF
Springer Nature
arXiv
BibTeX
Energy-transfer edge centrality and its role in enhancing network controllability
P. V. Chanekar, E. Nozari, J. Cortes
IEEE Transactions on Network Science and Engineering, Vol. 8, No. 1, 2020, pp. 331-346
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IEEE Xplore
BibTeX
Models of communication and control for brain networks: distinctions, convergence, and future outlook
P. Srivastava, E. Nozari, J. Z. Kim, H. Ju, D. Zhou, C. Becker, F. Pasqualetti, G. J. Pappas, D. S. Bassett
Network Neuroscience, Vol. 4, No. 4, 2020, pp. 1122-1159
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MIT Press
arXiv
BibTeX
Hierarchical Selective Recruitment in Linear-Threshold Brain Networks, Part I: Single-Layer Dynamics and Selective Inhibition
E. Nozari, J. Cortes
IEEE Transactions on Automatic Control, Vol. 66, No. 3, March 2021, pp. 949-964
PDF
IEEE Xplore
arXiv
BibTeX
Hierarchical Selective Recruitment in Linear-Threshold Brain Networks, Part II: Multi-Layer Dynamics and Top-Down Recruitment
E. Nozari, J. Cortes
IEEE Transactions on Automatic Control, Vol. 66, No. 3, March 2021, pp. 965-980
PDF
IEEE Xplore
arXiv
BibTeX
Event-Triggered Stabilization of Nonlinear Systems with Time-Varying Sensing and Actuation Delay
E. Nozari, P. Tallapragada, J. Cortes
Automatica, Vol. 113, March 2020, p. 108754
PDF
ScienceDirect
arXiv
BibTeX
Heterogeneity of Central Nodes Explains the Benefits of Time-Varying Control Scheduling in Complex Dynamical Networks
E. Nozari, F. Pasqualetti, J. Cortes
Journal of Complex Networks, Vol. 7, No. 5, October 2019, pp. 659-701
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Oxford University Press
arXiv
BibTeX
Network Identification with Latent Nodes via Auto-Regressive Models
E. Nozari, Y. Zhao, J. Cortes
IEEE Transactions on Control of Network Systems, Special Issue on Approaches to Control Biological and Biologically Inspired Networks, Vol. 5, No. 2, June 2018, pp. 722-736
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IEEE Xplore
arXiv
BibTeX
Differentially Private Distributed Convex Optimization via Functional Perturbation
E. Nozari, P. Tallapragada, J. Cortes
IEEE Transactions on Control of Network Systems, Vol. 5, No. 1, March 2018, pp. 395-408
Outstanding Paper Award Winner
PDF
IEEE Xplore
arXiv
BibTeX
Differentially Private Average Consensus: Obstructions, Trade-Offs, and Optimal Algorithm Design
E. Nozari, P. Tallapragada, J. Cortes
Automatica, Vol. 81, July 2017, pp. 221-231
PDF
ScienceDirect
arXiv
BibTeX
Mapping Causal Brain Interactions in fMRI Decoded Neurofeedback
F. Arab, A. Ghassami, M. A. K. Peters, E. Nozari
Proceedings of the 7th Annual Conference on Cognitive Computational Neuroscience, Massachusetts Institute of Technology, Boston, MA, 2024, to appear
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CCNeuro
BibTeX
On the Linearizing Effect of Temporal Averaging in Nonlinear Dynamical Systems
S. Ahmed, E. Nozari
Proceedings of the American Control Conference, San Diego, CA, 2023, pp. 4185-4190
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IEEE Xplore
BibTeX
On the Linearizing Effect of Spatial Averaging in Large-Scale Populations of Homogeneous Nonlinear Systems
S. Ahmed, E. Nozari
Proceedings of the IEEE Conference on Decision and Control, Cancun, Mexico, 2022, pp. 641-648
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IEEE Xplore
BibTeX
Network Modification Using a Novel Gramian-Based Edge Centrality
P. V. Chanekar, E. Nozari, J. Cortes
Proceedings of the IEEE Conference on Decision and Control, Nice, France, 2019, pp. 1686-1691
PDF
IEEE Xplore
BibTeX
Oscillations and Coupling in Interconnections of Two-Dimensional Brain Networks
E. Nozari, J. Cortes
Proceedings of the American Control Conference, Philadelphia, Pennsylvania, USA, 2019, pp. 193-198
PDF
IEEE Xplore
BibTeX
Selective Recruitment in Hierarchical Complex Dynamical Networks with Linear-Threshold Rate Dynamics
E. Nozari, J. Cortes
Proceedings of the IEEE Conference on Decision and Control, Miami Beach, Florida, USA, 2018, pp. 5227-5232
Best Student Paper Award Winner
PDF
IEEE Xplore
BibTeX
Stability Analysis of Complex Networks with Linear-Threshold Rate Dynamics
E. Nozari, J. Cortes
Proceedings of the American Control Conference, Milwaukee, Wisconsin, USA, 2018, pp. 191-196
Best Student Paper Award Winner
PDF
IEEE Xplore
BibTeX
Time-Invariant versus Time-Varying Actuator Scheduling in Complex Networks
E. Nozari, F. Pasqualetti, J. Cortes
Proceedings of the American Control Conference, Seattle, Washington, USA, 2017, pp. 4995-5000
PDF
IEEE Xplore
BibTeX
Event-Triggered Control for Nonlinear Systems with Time-Varying Input Delay
E. Nozari, P. Tallapragada, J. Cortes
Proceedings of the IEEE Conference on Decision and Control, Las Vegas, Nevada, USA, 2016, pp. 495-500
PDF
IEEE Xplore
BibTeX
Differentially Private Distributed Convex Optimization via Objective perturbation
E. Nozari, P. Tallapragada, J. Cortes
Proceedings of the American Control Conference, Boston, Massachusetts, USA, 2016, pp. 2061-2066
PDF
IEEE Xplore
BibTeX
Differentially Private Average Consensus with Optimal Noise Selection
E. Nozari, P. Tallapragada, J. Cortes
5th IFAC Workshop on Distributed Estimation and Control in Networked Systems, Philadelphia, Pennsylvania, USA, 2015, vol. 48, issue 22, pp. 203-208
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ScienceDirect
BibTeX
NSF CAREER Award, National Science Foundation (2023)
Fellowship Award, Society of Hellman Fellows (2023)
Regents Faculty Fellowship Award, University of California Academic Senate (2023)
Outstanding Reviewer, IEEE Control Systems Letters (2021, 2024)
2019 Robert Skelton Systems and Control Dissertation Award, UCSD Center for Control Systems and Dynamics (2020)
Outstanding Paper Award, IEEE Transactions on Control of Network Systems (2019)
Best Student Paper Award, the 57th IEEE Conference on Decision and Control, Miami Beach, FL, USA (2018)
Best Student Paper Award, the 2018 American Control Conference, Milwaukee, WI, USA (2018)
Distinguished Fellowship Award, Department of Mechanical and Aerospace Engineering, University of California, San Diego (2018)
Mechanical and Aerospace Engineering Recruitment Fellowship, Department of Mechanical and Aerospace Engineering, University of California, San Diego (2014)
Campus-wide Best Undergraduate Student Award, Isfahan University of Technology (2013)
Exceptional Talents Scholarship (3 times), Isfahan University of Technology, for acquiring the 1th rank in class of electrical engineering (2010, 2011, 2012)
● ME 120: Linear Systems and Controls (Fall 2020, Fall 2021, Fall 2022)
● ME 234: Data-Driven Optimal Control (Spring 2022, Spring 2023)
● ME 224: Computational Methods for Robotics (Winter 2022, Fall 2022)
● ESE 617 (Penn): Nonlinear Systems and Control (Fall 2019)