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Assist Prof Dr. Seyed Iman Taheri | Power system | Best Researcher Award

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

Dr. Seyed Iman Taheri is an accomplished professional in the field of electrical engineering, with expertise in power electrical systems, optimization, smart grids, control systems, renewable energy resources, and distributed generations. He holds a Ph.D. in Electrical Power Systems from the University of Sao Paulo (USP), Brazil, and has extensive experience in both academia and industry. Currently serving as an Assistant Professor of Teaching at the University of Memphis, Dr. Taheri’s research focuses on designing and modeling distributed energy resources, placement of distributed generations, intelligent optimization algorithms, microgrids, virtual power plants, power systems of vessels, electric vehicles, cyber security, machine learning, deep learning, and big data. He has published numerous research papers and has been actively involved in teaching various courses related to electrical engineering. With a diverse skill set that includes programming languages such as C, MATLAB, and Python, as well as proficiency in software and simulation tools, Dr. Taheri is well-equipped to address complex challenges in his field. His commitment to continuous learning is evident from the various certificates he has obtained in areas such as machine learning, big data, and solar energy. Overall, Dr. Taheri’s academic achievements, professional experiences, and dedication to advancing the field of electrical engineering make him a valuable asset in both academia and industry.

Professional Profiles:

šŸ“š Education:

Dr. Seyed Iman Taheri holds a Ph.D. in Electrical Power Systems from the University of Sao Paulo (USP), Brazil, where he achieved a GPA of A (100 out of 100). His doctoral thesis focused on optimization strategies for decision-makers to increase the penetration of distributed energy resources for a greener future. Additionally, Dr. Taheri pursued a Ph.D. in Electrical and Electronic Engineering at Eastern Mediterranean University, Cyprus, where he achieved a GPA of 3.33 out of 4. Prior to his doctoral studies, he completed a Master of Science in Power Electronics and Electrical Machinery at Shiraz University of Technology, Iran, and a Bachelor of Engineering in Electronics at Islamic Azad University, Iran. Dr. Taheri’s academic journey reflects his dedication to advancing his knowledge and expertise in the field of electrical engineering.

šŸ“Work Experience:

Dr. Seyed Iman Taheri has a diverse and extensive work experience in the field of electrical engineering. Currently serving as an Assistant Professor of Teaching in the Department of Electrical and Computer Engineering at the University of Memphis, Dr. Taheri’s expertise lies in power electrical systems, optimization, smart grids, control systems, renewable energy resources, and distributed generations. His research focuses on designing and modeling distributed energy resources, placement of distributed generations, intelligent optimization algorithms, microgrids, virtual power plants, power systems of vessels, electric vehicles, cyber security, machine learning, deep learning, and big data. Before joining the University of Memphis, Dr. Taheri held several key positions. He served as a Post-doctoral Fellow at the University of Memphis, where he worked on a research project related to virtual power plants. Prior to that, he was a Research Scholar at the University of Central Florida (UCF), focusing on real-time power system scheduling and optimization. Additionally, Dr. Taheri has industrial experience as a Senior Electrical Engineer at Milka Co., where he supervised electrical and instrument modification projects of power plants in south Iran. His diverse work experience has equipped him with practical knowledge and skills that complement his academic expertise, making him a valuable asset in the field of electrical engineering.

šŸ“ŠAcademic Experience:

Dr. Seyed Iman Taheri has extensive teaching experience in the field of electrical engineering. Currently, he serves as a Teacher at the University of Memphis, where he teaches courses such as Electronics-I, Circuits Analysis I, Electrical Power Quality, and Recitations for Signal and Circuits, Circuits Lab, and Electronics Lab. His role involves imparting knowledge and skills to students, facilitating their understanding of complex engineering concepts, and guiding them in their academic pursuits. Prior to his current position, Dr. Taheri gained teaching experience as a Teacher Assistant at the University of Sao Paulo, where he assisted in teaching the Electromechanical Energy Conversion laboratory. He also served as a Teacher Assistant at Shiraz University, where he assisted in teaching Electrical Machinery and Power Electronics. Additionally, Dr. Taheri worked as an Instructor at Danesh Electronics Technical School, further enhancing his teaching skills and experience. Through his teaching experiences, Dr. Taheri has demonstrated a passion for education and a commitment to nurturing the next generation of engineers. His ability to convey complex ideas in a clear and understandable manner has made him a valuable educator in the field of electrical engineering.

šŸ› ļø Skills:

Dr. Seyed Iman Taheri possesses a diverse skill set that complements his expertise in electrical engineering. He is proficient in programming languages such as C, MATLAB, and Python, which are widely used in engineering applications. Additionally, Dr. Taheri has experience with various software and simulation tools, including EWB, PSpice, OrCAD, PSCAD, MATLAB, Plexos, Open-DSS, PVsyst, and Homer. These tools are essential for modeling and simulating electrical systems, optimizing power generation and distribution, and analyzing data in the field of electrical engineering. His proficiency in these skills enables him to conduct research, analyze data, and develop innovative solutions in areas such as power electrical systems, optimization, smart grids, control systems, renewable energy resources, and distributed generations. Dr. Taheri’s skill set, combined with his academic and professional experience, positions him as a knowledgeable and capable expert in the field of electrical engineering.

šŸµļøCertificates:

Dr. Seyed Iman Taheri has acquired a range of certificates that further enrich his expertise in electrical engineering and related fields. These certificates include “Machine Learning for All” from the University of London, “Google Cloud Platform Big Data and Machine Learning Fundamentals” from Google, “Programming for Everybody (Getting Started with Python)” from the University of Michigan, “Deep Learning Applications for Computer Vision” from the University of Colorado Boulder, and “Applied Machine Learning: Foundations” from LinkedIn Learning. Additionally, Dr. Taheri has obtained certificates in “Mathematical Optimization for Business Problems” from the University of IBM Company, “Electric Utilities Fundamentals and Future” from the University of Colorado, “Solar energy and electrical system design” from the University at Buffalo & The State University of NY, “Introduction to Big Data” from the University of California San Diego, and “Electric Industry Operations and Markets” from Duke University. These certificates reflect Dr. Taheri’s commitment to continuous learning and professional development in emerging technologies and industry practices.

 

Publications :

A modified honey bee mating optimization algorithm for multiobjective placement of renewable energy resources
Authors: T Niknam, SI Taheri, J Aghaei, S Tabatabaei, M Nayeripour
Citations: 235
Year: 2011

Multi-objective mutation-enabled adaptive local attractor quantum behaved particle swarm optimisation based optimal sizing of hybrid renewable energy system for smart cities in ā€¦
Authors: RSS Nuvvula, E Devaraj, RM Elavarasan, SI Taheri, M Irfan, KS Teegala
Citations: 58
Year: 2022

A modified TLBO algorithm for placement of AVRs considering DGs
Authors: H Hosseinpour, T Niknam, SI Taheri
Citations: 41
Year: 2011

Optimal Cost Management of Distributed Generation Units and Microgrids for Virtual Power Plant Scheduling
Authors: SI Taheri, MBC Salles, ECM Costa
Citations: 30
Year: 2020

A trip-ahead strategy for optimal energy dispatch in ship power systems
Authors: SI Taheri, GGTT Vieira, MBC Salles, SL Avila
Citations: 19
Year: 2021

Optimized Configuration of Diesel Engine-Fuel Cell-Battery Hybrid Power Systems in a Platform Supply Vessel to Reduce CO2 Emissions
Authors: GTT Vieira, DF Pereira, SI Taheri, KS Khan, MBC Salles, JM Guerrero
Citations: 13
Year: 2022

A new modified TLBO algorithm for placement of AVRs in distribution system
Authors: SI Taheri, MBC Salles, N Kagan
Citations: 11
Year: 2019

A new evolutionary algorithm for placement of distributed generation
Authors: B Bahmanifirouzi, T Niknam, SI Taheri
Citations: 11
Year: 2011

Distributed energy resource placement considering hosting capacity by combining teachingā€“learning-based and honey-bee-mating optimisation algorithms
Authors: SI Taheri, MBC Salles, AB Nassif
Citations: 9
Year: 2021

A new modification for TLBO algorithm to placement of distributed generation
Authors: SI Taheri, MBC Salles
Citations: 9
Year: 2019

Improvement and revision of polymer electrolyte membrane fuel Cell Dynamic model
Authors: T Niknam, SI Taheri, M Mohammdi
Citations: 5
Year: 2010

A day-ahead hybrid optimization algorithm for finding the dispatch schedule of VPP in a distribution system
Authors: SI Taheri, LL Rodrigues, MBC Salles, AJ Sguarezi Filho
Citations: 4
Year: 2020

 

 

Seyed Iman Taheri | Power system | Best Researcher Award

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