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Arif Sarwat

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Eminent Scholar Chaired Professor

Florida International University

United States

Research Interests

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About

Dr. Arif Sarwat is an Eminent Scholar Chaired Professor at Florida International University in the United States. His research areas include secure network design, dimensionality reduction methods for fault detection in solar energy systems, and machine learning applications in smart grids. His recent works explore topics such as the reliability assessment of digital twins, optimal placement of distributed energy resources, and advanced control strategies for dynamic wireless power transfer.

Recent Grants

Grant: Open

Crypto-Agile and Adaptable Data-Centric Zero Trust Architecture for OT Systems

Open Date: 2026-01-01

Close Date: 2028-01-01

Grant: Close

CAS-MNP: Real time analysis of impact of nanoplastics on marine species using AI integrated microfluides

Open Date: 2026-01-01

Close Date: 2026-01-01

Grant: Open

NRT: Environmental Risk Finance

Open Date: 2025-09-01

Close Date: 2030-08-01

Grant: Close

Managing Thermal Transients with Passive Phase Change Cooling Inside Copper Leadframe Packages

Open Date: 2025-01-01

Close Date: 2025-12-01

Grant: Open

Smart Grid Application MVMP

Open Date: 2025-01-01

Close Date: 2028-01-01

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Collaborators (3)

Olusola Odeyomi

assistant professor

North Carolina Agricultural and Technical State University

UNITED STATES

View details

Alex Krasnok

Assistant Professor

Florida International University

UNITED STATES

View details

Shahid Tufail

Florida International University

UNITED STATES

View details

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Arif Sarwat

Research Interests

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About

Recent Grants

Articles (34)

Coordinated Voltage Control and Optimization of Distribution Feeders Using Gaussian Process Regression: Proposing A New Framework

Techno-economic and environmental assessment of photovoltaic–battery microgrids across diverse U.S. states

Impact analysis of a planning-grade DER digital-twin-ready model of a real distribution feeder in a high-fidelity simulation environment

Universities need transparent quantum hardware

A Supervised Learning Approach to Outage Prediction Using Large Outage Management System Data

A Resilient and Optimization-Driven Approach to Enhancing Network Stability in Microgrid Distributed Control Under Denial-of-Service Attacks

Automated Validation and Repair Framework for Converting Operational Distribution System Into Digital-Twin-Ready Simulation Models

Integration of Public Key Cryptography in ANSI C12.22 for Advanced Metering Infrastructure

Novel LCC-CLC Compensation Network Topology for Reducing Output Voltage Fluctuations in Dynamic Wireless Power Transfer

Reliability-Constrained Behind-the-Meter BESS Dispatch for Data Centers: Co-Optimizing Utility Costs and Critical-Load Continuity Under Stochastic Outages

Risk-Aware Data Center BESS Dispatch With MILP, Machine Learning, and Stochastic Outage Simulations

Vulnerability Evaluation of Multi-Agent Reinforcement Learning-Based Distributed Secondary Voltage Control in Microgrids

An Overview of SDN Issues—A Case Study and Performance Evaluation of a Secure OpenFlow Protocol Implementation

A Comparative Study of Dimensionality Reduction Methods for Accurate and Efficient Inverter Fault Detection in Grid-Connected Solar Photovoltaic Systems

Data-Driven Digital Twin for Reliability Assessment of DC/DC Buck Converter

Impact Analysis and Optimal Placement of Distributed Energy Resources in Diverse Distribution Systems for Grid Congestion Mitigation and Performance Enhancement

Machine Learning-Driven Reliability Estimation of PV Inverters Considering Alert-Ambient Variability

A Hybrid Machine Learning-Based Framework for Data Injection Attack Detection in Smart Grids Using PCA and Stacked Autoencoders

A Noise Immune Physics Informed Data-Driven Digital Twin for Inverter Component Degradation Estimation

Passivity-Based Integral Terminal Sliding Mode Control for Suppressing Output Voltage Fluctuations in Dynamic Wireless Charging

Suppressing Voltage Fluctuations with Optimized Assisted Coils in Dynamic Wireless Power Transfer

Enhancing Security in Islanded AC Microgrid: Detecting and Mitigating Cyber Attacks in Secondary Control Through AI-Based Method

Multi-variable false data injection attack detection and classification in solar photovoltaic grids with ensemble learning

Multi-objective GPR-based design optimization of high frequency transformers

Advancements and Challenges in Machine Learning: A Comprehensive Review of Models, Libraries, Applications, and Algorithms

Resonant AC-AC Converter With Multi-Power Level Controller for Inductive EV Charging Systems

Algorithmic Formulation for Network Resilience Enhancement by Optimal DER Hosting and Placement

Performance Analysis of Commercial Passive Balancing Battery Management System Operation Using a Hardware-in-the-Loop Testbed

Virtual Inertia-Based Multipower Level Controller for Inductive Electric Vehicle Charging Systems

Multiphysics and Multiobjective Design Optimization of High-Frequency Transformers for Solid-State Transformer Applications

Optimal Design of IPT Bipolar Power Pad for Roadway-Powered EV Charging Systems

Overview of Technical Specifications for Grid-Connected Microgrid Battery Energy Storage Systems

Unified Univariate-Neural Network Models for Lithium-Ion Battery State-of-Charge Forecasting Using Minimized Akaike Information Criterion Algorithm

Resilient Control Design for Load Frequency Control System Under False Data Injection Attacks

Collaborators (3)

Olusola Odeyomi

Alex Krasnok

Shahid Tufail

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