Arman Sargolzaei

Arman Sargolzaei
Florida Polytechnic University · Electrical and computer engineering

PhD

About

69
Publications
19,448
Reads
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1,603
Citations
Introduction
Arman Sargolzaei received his M.S. and Ph.D. in Electrical and Computer Engineering from Florida International University (FIU) in 2012 and 2015, respectively. Currently, he is assistant professor in the Department of Electrical and Computer Engineering at Florida Polytechnic University (FPU). He is also the director of Resilient, Autonomous, Networked Control Systems (RANCS) Lab. He is recognized with the honor of “Faculty Research Excellence Award” for two consecutive years. He is serving on the editorial board of the International Journal of Instrumentation and Control Systems, and the Machine Learning and Applications: An International Journal. He is also reviewer of IEEE Transactions on Smart Grid, IEEE Transaction on Cybernetics, and IEEE Transaction on Industrial Applications.
Additional affiliations
August 2016 - present
Florida Polytechnic University
Position
  • Professor
September 2015 - January 2016
Florida International University
Position
  • Faculty Member
December 2013 - September 2015
PLC International Inc
Position
  • Software and Hardware Developer, PhD Candidate

Publications

Publications (69)
Article
Full-text available
As the penetration of renewable energy, generally, uncertainties, increase in microgrids, a more dynamic and complex system is emerging that makes the load frequency control (LFC) of islanded microgrids more challenging due to their stochastic dynamic nature. This stochastic nature can create oscillatory frequency response, which eventually leads t...
Article
Full-text available
The increased integration of cyber and communication networks in microgrids for obtaining measurements and relaying controls results in a Cyber-Physical Microgrid (CPM) that paves the way for many essential applications. One of these applications is the Load Frequency Control (LFC), which is more challenging due to the stochastic behavior of renewa...
Chapter
A system of cooperative unmanned aerial vehicles (UAVs) is a group of agents interacting with each other and the surrounding environment to achieve a specific task. In contrast with a single UAV, UAV swarms are expected to benefit efficiency, flexibility, accuracy, robustness, and reliability. However, the provision of external communications poten...
Article
Over past few decades, various ways have been conducted through side channel attacks to steal information for a computer system. Unlike conventional hardware-based methods, i.e. power-based side channel, side channel on micro-architecture does not require any physical access to the devices under interest. Instead, only compromised programs need to...
Article
Full-text available
Recent improvements in communications have led to the proliferation of networked control systems (NCSs). NCSs are used to increase the efficiency and reliability of these systems. However, these connectivities between agents, sensors, and centralized controllers expose NCSs to a range of faults, failures, delays, and cyber-attacks. Detection of int...
Article
In networked control systems (NCS), agents participating in a network share their data with others to work together. When agents share their data, they can naturally expose the NCS to layers of faults and cyber-attacks, which can contribute to the propagation of error from one agent/area to another within the system. One common type of attack in wh...
Article
Smart power grids are being enhanced by adding communication infrastructure to improve their reliability, sustainability, and efficiency. Despite all of these significant advantages, their open communication architecture and connectivity renders the power systems' vulnerability to a range of cyber-attacks. This paper proposes a novel resilient cont...
Preprint
Full-text available
A system of cooperative unmanned aerial vehicles (UAVs) is a group of agents interacting with each other and the surrounding environment to achieve a specific task. In contrast with a single UAV, UAV swarms are expected to benefit efficiency, flexibility, accuracy, robustness, and reliability. However, the provision of external communications poten...
Article
Full-text available
This paper introduces a novel controller design for pressure control in the proton exchange membrane (PEM) fuel cells. The proposed controller is able to control the system under fault/failure of the actuators. The introduced design uses an artificial neural network (ANN) for online fault detection and isolation (FDI) in the pressure valves of the...
Article
This article describes how technology can be impactful when applied to solve precise and measurable problems. Technologies such as Artificial Intelligence (AI), Internet of things (IoT), robotic process automation (RPA), and blockchain hold tremendous potential when integrated for specific solutions. In addition to these technologies, the professio...
Conference Paper
A novel control design is introduced for pressure control in proton exchange membrane (PEM) fuel cells. The proposed control design is able to control the system under faults in actuators. In this design, an artificial neural network (ANN) observer is developed for online fault detection and isolation (FDI) in the pressure valves of the PEM fuel ce...
Article
Full-text available
Faults in aircraft actuators can cause serious issues in safety. Due to the autonomous nature of the unmanned aerial vehicles (UAVs), faults can lead to more serious problems in these systems. In this paper, a new active fault tolerant control (FTC) system design for an UAV is presented. The proposed design uses a neural network adaptive structure...
Conference Paper
Accurate pre-clinical study reporting requires validated processing tools to increase data reproducibility within and between laboratories. Segmentation of rodent brain from non-brain tissue is an important first step in preclinical imaging pipelines for which well validated tools are still under development. The current study aims to clarify the b...
Article
Full-text available
This paper analyzes the notion of resilience in power systems from a fundamental viewpoint and thoroughly examines its practical implications. The paper aims to describe and classify different high-impact rare (HR) events, provide a more technical definition of power system resilience, and discuss linkages between resilience and other well-stablish...
Chapter
Networked control systems (NCSs) are created by the integration of advanced communication networks, control systems, and computation techniques. This integration enhances efficiency and reliability at the expense of increased complexity and reduced security . For example, the reliance of NCSs on communication networks exposes these systems to attac...
Article
Full-text available
Prompt detection and isolation of faults and failures in flight control systems are crucial to avoid negative impacts on human and environmental systems, and to the system itself. In this study, a new scheme based on a nonlinear dynamic model is designed for sensor fault detection and isolation in an unmanned aerial vehicle (UAV) system. In the pro...
Conference Paper
Full-text available
The False Data Injection (FDI) attack on Load Frequency Control (LFC) caused by the adversary can destabilize the power system. This could cause potential economic and life damages. Therefore, the real-time detection of FDI attacks is necessary and essential to compensate negative effects of such attacks. This paper presents a neural network-based...
Conference Paper
Full-text available
The occurrence of faults and failures in flight control systems of unmanned aerial vehicles (UAVs) can destabilize the system which could cause potential economic and life losses. Therefore, it's necessary to detect faults and attacks in real time and modify the control system based on the occurred fault. In this paper, a neural network-based fault...
Article
Full-text available
Industrial control systems are distributed hierarchical networks that share information via an assortment of communication protocols. Such systems are vulnerable to attacks that can cause disastrous consequences. This article focuses on time delay switch (TDS) attacks and shows that cryptographic solutions are ineffective in recovering from the den...
Article
Full-text available
A resilient and secure control system should be designed to be as safe and robust as possible in face of different types of attacks such as fault data injection (FDI) attacks; thus, nowadays, the control designers should also consider the probable attacks in their control design from the beginning. For this reason, detection of intentional faults a...
Article
Full-text available
Advanced driver assistance systems (ADASs) enhance transportation safety and mobility, and reduce impacts on the environment and economical costs, through decreasing driver errors. One of the main features of ADASs is cruise control system that maintains the driver's desired speed without intervention from the driver. Adaptive cruise control (ACC)...
Conference Paper
This paper discusses the integration of a three-phase Distributed generation (DG) into a grid-tied Photovoltaic (PV) system. A single-stage power conversion system comprising a Current Source Inverter (CSI) capable of dc voltage boost is proposed for this PV MIC system, to control which, a multivariable-proportional-integral (PI) regulator-based po...
Article
Full-text available
A new online detection strategy is developed to detect faults in sensors and actuators of unmanned aerial vehicle (UAV) systems. In this design, the weighting parameters of the Neural Network (NN) are updated by using the Extended Kalman Filter (EKF). Online adaptation of these weighting parameters helps to detect abrupt, intermittent, and incipien...
Conference Paper
This paper presents the concept of the three-phase module-integrated converters (MICs) incorporated in grid-tied large-scale photovoltaic (PV) systems. The current-source converter (CSC) with dc voltage boost capability, namely single-stage power conversion system, is proposed for three-phase PV MIC system. A model predictive scheme with low switch...
Article
The objective of the current work was to design and develop a cloud-based smart health data analysis platform for real-time patient-specific health monitoring and analysis with long-term surveillance to support learning based information processing system benefiting from cloud and mobile technologies. A DevOps approach to cloud-based applications d...
Article
The vital role of pacemakers justifies the its safety amongst top priorities at the current age of cyber security. The aim of the study is to survey the history of pacemakers development through the decades and the current standing of cyber-security malfunctions, threats and potential countermeasures in such devices to prevent and control the issue...
Article
Full-text available
Background The predictive nature of the primate sensorimotor systems, for example the smooth pursuit system and their ability to compensate for long delays have been proven by many physiological experiments. However, few theoretical models have tried to explain these facts comprehensively. Here, we propose a sensorimotor learning and control model...
Article
Full-text available
In visual search systems, it is important to address the issue of how to leverage the rich contextual information in a visual computational model to build more robust visual search systems and to better satisfy the user’s need and intention. In this paper, we introduced a ranking model by understanding the complex relations within product visual an...
Article
This paper presents the concept of the three-phase module-integrated converters (MICs) incorporated in grid-tied large-scale photovoltaic (PV) systems. The current-source converter (CSC) with dc voltage boost capability, namely singlestage power conversion system is proposed for three-phase PV MIC system. A model predictive scheme with low switchin...
Article
Full-text available
A time-delay switch (TDS) attack on a control system is caused by adversaries that strategically imbed time delays into such systems. TDS attacks can make a control system, or more specifically a distributed power control system, unstable. Time delays can be introduced in the sensing loop (SL) or control lines. This paper describes a novel, simple,...
Article
Full-text available
The smart grid is the next generation of power and distribution systems. The integration of advanced network, communications, and computing techniques allows for the enhancement of efficiency and reliability. The smart grid interconnects the flow of information via the power line, intelligent metering, renewable and distributed energy systems, and...
Article
Full-text available
The lives of half a million children in the United States are severely affected due to the alterations in their functional and mental abilities which epilepsy causes. This study aims to introduce a novel decision support system for the diagnosis of pediatric epilepsy based on scalp EEG data in a clinical environment. A new time varying approach for...
Article
Full-text available
Intracranial volume (ICV) is an important normalization measure used in morphometric analyses to correct for head size in studies of Alzheimer Disease (AD). Inaccurate ICV estimation could introduce bias in the outcome. The current study provides a decision aid in defining protocols for ICV estimation in patients with Alzheimer disease in terms of...
Article
Full-text available
Intracranial volume (ICV) is a standard measure often used in morphometric analyses to correct for head size in brain studies. Inaccurate ICV estimation could introduce bias in the outcome. The current study provides a decision aid in defining protocols for ICV estimation across different subject groups in terms of sampling frequencies that can be...
Article
Time delays exist in most of the electronic components, digital controllers and DSPs. Certain values of time delay can easily corrupt the performance of a power control system. This time delay can strictly disturb the system dynamic in power control applications with low to medium switching frequency. In this paper, we overcome the effect of time d...
Chapter
PID control is the most common and simplest control method used for system control. However, selecting PID control coefficients for an optimal performance in power system applications is a central problem that few have addressed. Here, we propose the use of the particle swarm optimization (PSO) method to search for the optimal parameters of a PI co...
Article
Full-text available
In this paper, we focus on the estimation of time delays caused by adversaries in the sensing loop (SL). Based on the literature review, time delay switch (TDS) attacks could make any control system , in particular a power control system, unstable. Therefore, future smart grids will have to use advanced methods to provide better situational awarene...
Conference Paper
Rapid growth of urbanization has attracted attentions toward sustainability. Creating smart cities can contribute to the green growth of countries because of their socio-economic, socio-environmental and eco-efficiency benefits. Intelligent Transportation Systems are a key solution to traffic management in the way to create a smart city. Not only t...
Article
Full-text available
This paper presents a new method for solving a class of nonlinear optimal control problems with a quadratic performance index. In this method, first the original optimal control problem is transformed into a nonlinear two-point boundary value problem (TPBVP) via the Pontryagin's maximum principle. Then, using the Homotopy Perturbation Method (HPM)...
Conference Paper
Current smart power grids have open communication infrastructures to improve efficiency, reliability and sustainability of supply. However, their open communication architecture makes them vulnerable to cyber-attacks with potentially catastrophic consequences. Here for the first time, we propose a time-delay-switch (TDS) attack by introducing time...
Article
Full-text available
This paper proposes an algorithm to lessen the impacts of variety of distortions occurred in aerial images. The proposed algorithm detects the noisy pixels in a given image using fuzzy logic based technique in an iterative manner, then the noisy image is corrected based on the cellular structure modeling to filter out the noise. Our solution for no...
Article
This paper renders an optimal regulator for a system with state time-delay and quadratic performance index. First, by means of Maximum Principle and necessary optimal conditions, a continues-time two-point boundary-value problem (TPBVP) including both time-delay and time-advance is derived. Then, using Homotopy Perturbation Method (HPM), the obtain...
Article
Full-text available
In this paper an analytic approach is devised to represent, and study the behavior of, nonlinear dynamic chaotic Genesio system using general nonlinear modal representation. In this approach, the original nonlinear ordinary differential equations (ODEs) of model transforms to a sequence of linear time- invariant ODEs. By solving the proposed linear...
Article
this paper presents a new method for extracting the Foetal Electrocardiogram (FECG) signal form the two ECG signals recorded at the thoracic and abdominal areas of the mother's skin. The thoracic ECG is assumed to be completely maternal ECG (MECG) while the abdominal ECG is assumed to be a combination of mother's and foetus's ECG signals and random...
Article
We propose a new time-domain based method, sensitivity approach, for computing the steady-state response of nonlinear oscillators, which are described mathematically by a nonlinear state-space model. In this manner, we avoid solving of nonlinear ordinary differential equations directly by discretization or linearization which can lead to low accura...