Oliver Dzobo | Energy Sector | Best Researcher Award

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Dr. Oliver Dzobo | Energy Sector | Best Researcher Award

Senior Lecturer at University of Johannesburg, South Africa

Summary:

Dr. Oliver Dzobo is a senior lecturer in the Department of Electrical and Electronic Engineering Science at the University of Johannesburg. He is an accomplished professional with a Ph.D. in Electrical and Electronic Engineering and a recognized Professional Engineer by the Engineering Council of South Africa (ECSA). As a Senior IEEE member, Dr. Dzobo leads the Future Energy Systems Research Group and specializes in power quality analysis, smart grid technology, and renewable energy integration. His research includes optimizing energy systems, enhancing cybersecurity for distributed energy resources, and applying blockchain technology for secure energy transactions. With over 30 peer-reviewed publications, Dr. Dzobo is a respected academic and reviewer for several prestigious journals.

Profile:

Education:

Dr. Oliver Dzobo holds a Ph.D. in Electrical and Electronic Engineering, which he completed with a focus on power systems and renewable energy integration. He also earned a Master’s degree in the same field, further enhancing his expertise in advanced electrical engineering concepts. His academic journey began with a Bachelor’s degree in Electrical and Electronic Engineering, providing him with a strong foundational knowledge in the discipline. Dr. Dzobo’s extensive education has equipped him with the skills and knowledge necessary to lead innovative research and contribute significantly to the field of electrical engineering.

Professional Experience:

Dr. Oliver Dzobo is currently a Senior Lecturer at the University of Johannesburg in the Department of Electrical & Electronic Engineering Science. As the founder and chair of the Future Energy Systems Research Group, he leads cutting-edge research on power quality analysis, the coordination of photovoltaic smart inverters, and cybersecurity considerations for distributed energy resources in smart grids. A Professional Engineer registered with the Engineering Council of South Africa (ECSA) and a Senior IEEE member, Dr. Dzobo focuses on implementing new energy system optimization algorithms in smart grids, enhancing risk management, reducing pollutants, and improving energy efficiency. His innovative work also includes the application of blockchain technology for optimal and secure energy delivery between peer prosumers. Dr. Dzobo has published over 30 peer-reviewed technical papers and serves as a reviewer for prominent journals such as IEEE Access, Energy, Applied Energy, and Electrical Engineering – Springer Nature.

Research Interests:

Dr. Oliver Dzobo’s research interests are centered around renewable energy, power systems management, and control. His specific focus areas include power quality analysis, coordination of photovoltaic smart inverters in smart grids, and cybersecurity considerations for distributed energy resources. He is also interested in the implementation of new energy system optimization algorithms in smart grids, aiming to enhance risk management, reduce pollutants, and improve energy efficiency. Additionally, Dr. Dzobo explores the application of blockchain technology for secure and optimal energy delivery between peer prosumers, contributing to the advancement of decentralized energy networks.

 

Publications:

Investigating the Use of Probability Distribution Functions in Reliability-Worth Analysis of Electric Power Systems (2012)

  • Journal: International Journal of Electrical Power & Energy Systems
  • Co-authors: CT Gaunt, R Herman
  • Citations: 61

Multi-Dimensional Customer Segmentation Model for Power System Reliability-Worth Analysis (2014)

  • Journal: International Journal of Electrical Power & Energy Systems
  • Co-authors: K Alvehag, CT Gaunt, R Herman
  • Citations: 40

Optimal Operation of Smart Multi-Energy Hub Systems Incorporating Energy Hub Coordination and Demand Response Strategy (2017)

  • Journal: Journal of Renewable and Sustainable Energy
  • Co-author: X Xia
  • Citations: 31

Proposed Framework for Blockchain Technology in a Decentralized Energy Network (2021)

  • Journal: Protection and Control of Modern Power Systems
  • Co-authors: B Malila, L Sithole
  • Citations: 26

Reliability Worth Assessment of Electricity Consumers: A South African Case Study (2012)

  • Journal: Journal of Energy in Southern Africa
  • Co-authors: T Gaunt, R Herman
  • Citations: 20

Virtual Power Plant Energy Optimization in Smart Grids (2019)

  • Conference: Southern African Universities Power Engineering Conference/Robotics and …
  • Citations: 17

Investigation of Net Metering as a Tool for Increasing Electricity Access in Developing Countries (2017)

  • Conference: IEEE Electrical Power and Energy Conference (EPEC)
  • Co-authors: CL Azimoh, C Mbohwa
  • Citations: 13

Towards Sustainable Energy System Options for Improving Energy Access in Southern Africa (2020)

  • Journal: Journal of Energy in Southern Africa
  • Co-authors: H Tazvinga, M Mapako
  • Citations: 10

Standalone Hybrid Energy System Model and Control for Economic Load Dispatch (2019)

  • Conference: Southern African Universities Power Engineering Conference/Robotics and …
  • Co-author: J Mhlanga
  • Citations: 9

Real-Time Power Theft Monitoring and Detection System with Double Connected Data Capture System (2023)

  • Journal: Electrical Engineering
  • Co-author: CL Zulu
  • Citations: 8

 

Seyed Iman Taheri | Power systems Award | Best Scholar Award

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Assist Prof Dr. Seyed Iman Taheri | Power systems Award | Best Scholar Award

Assistant Professor of Teaching at the University of Memphis, United States

Seyed Iman Taheri is an Assistant Professor of Teaching in the Department of Electrical and Computer Engineering at the University of Memphis. With a background in electrical engineering and a Ph.D. in Electrical Power Systems, their expertise lies in optimization, smart grids, control systems, renewable energy resources, and distributed generations. They are actively involved in research on designing and modeling distributed energy resources, placement of distributed generations, intelligent optimization algorithms, smart grids, virtual power plants, power systems of vessels, electric vehicles, cybersecurity, machine learning, deep learning, and big data. Their academic and research contributions demonstrate a commitment to advancing knowledge in electrical engineering and addressing challenges in sustainable energy systems.

Profile:

Education:

Seyed Iman Taheri has an impressive academic background in electrical engineering. They earned their Bachelor of Engineering in Electronics from Islamic Azad University in Iran, followed by a Master of Science in Power Electronics and Electrical Machinery from Shiraz University of Technology, Iran. Their academic journey culminated in a Ph.D. in Electrical Power Systems from the University of São Paulo in Brazil, where they focused on optimization strategies for increasing the penetration of distributed energy resources. This research aligns with their goal of contributing to a greener future through innovative energy solutions.

 

Professional Experience:

Seyed Iman Taheri has gained valuable experience in academia and research. They currently serve as an Assistant Professor of Teaching at the University of Memphis, a role they have held since August 2023. Prior to this position, they worked as a Post-Doctoral Fellow at the same university, focusing on research related to Virtual Power Plants from August 2022 to August 2023. Before joining the University of Memphis, Seyed Iman Taheri was a Research Scholar at the University of Central Florida (UCF), where they contributed to a project on real-time power system scheduling and optimization from December 2021 to July 2022.

 

Academic Experience :

Seyed Iman Taheri has been actively involved in academic teaching and support. They currently teach Electronics-I and the electronics laboratory at the University of Memphis, a role they have held since August 2022. Prior to this, they served as a Teacher Assistant at the University of Sao Paulo, where they assisted with the Electromechanical Energy Conversion laboratory from January 2020 to January 2021. These experiences have helped them develop a strong foundation in both teaching and practical aspects of electrical engineering.

Research Interests:

Seyed Iman Taheri is an Assistant Professor of Teaching in the Department of Electrical and Computer Engineering at the University of Memphis. Their research interests lie in power electrical systems, with a focus on optimization, smart grids, control systems, renewable energy resources, and distributed generations. They are currently involved in research on designing and modeling distributed energy resources, placement of distributed generations, intelligent optimization algorithms, smart grids, virtual power plants, power systems of vessels, electric vehicles, cybersecurity, machine learning, deep learning, and big data.

Skills:

Seyed Iman Taheri possesses strong programming skills, particularly in C, Matlab, and Python. They are also proficient in using various software and simulation tools essential for their field, including EWB, PSCAD, MATLAB, Plexos, Open-DSS, PVsyst, and Homer. These skills enable them to conduct advanced research and analysis in electrical power systems effectively.

Publication Top Noted:

Mitigating Cyber Anomalies in Virtual Power Plants Using Artificial-Neural-Network-Based Secondary Control with a Federated Learning-Trust Adaptation

Journal: Energies

Year: 2024

Citations: 0

A Simulated-Annealing-Quasi-Oppositional-Teaching-Learning-Based Optimization Algorithm for Distributed Generation Allocation

Journal: Computation

Year: 2023

Citations: 0

Optimized Configuration of Diesel Engine-Fuel Cell-Battery Hybrid Power Systems in a Platform Supply Vessel to Reduce CO2 Emissions

Journal: Energies

Year: 2022

Citations: 7

Distributed energy resource placement considering hosting capacity by combining teaching–learning-based and honey-bee-mating optimisation algorithms

Journal: Applied Soft Computing

Year: 2021

Citations: 7

Supporting distributed energy resources with optimal placement and sizing of voltage regulators on the distribution system by an improved teaching-learning-based optimization algorithm

Journal: International Transactions on Electrical Energy Systems

Year: 2021

Citations: 2

A trip-ahead strategy for optimal energy dispatch in ship power systems

Journal: Electric Power Systems Research

Year: 2021

Citations: 16

Optimal Cost Management of Distributed Generation Units and Microgrids for Virtual Power Plant Scheduling

Journal: IEEE Access

Year: 2020

Citations: 24

A new modified TLBO algorithm for placement of AVRs in distribution system

Conference: 2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019

Year: 2019

Citations: 8

A New Modification for TLBO Algorithm to Placement of Distributed Generation

Conference: ICCEP 2019 – 7th International Conference on Clean Electrical Power: Renewable Energy Resources Impact

Year: 2019

Citations: 7