Seyed Iman Taheri

Seyed Iman Taheri received the bachelor?s degree from the Islamic Azad University, Iran, in 2009, and the master?s degree from the Shiraz University of Technology, Shiraz, Iran, in 2011. He is currently pursuing the Ph.D. degree with the Department of Electric, Energy, and Automation Engineering, Polytechnic School of the University of São Paulo. From 2011 to 2013, he was with the Staff of the DANESH Electronics Technical School. From 2013 to 2016, he was a Ph.D. Researcher with the Eastern Mediterranean University, Famagusta, Cyprus. He is one of the members of the Advanced Electric Networks Laboratory. He has industrial work experience for four years, such as engagement in the Promotion Centre of Electronic Sciences Corporation and MILKA Corporation as a supervisor of projects of power plants in the south of Iran. His main interests are in optimization algorithms, distributed generation, energy, and energy markets.

Informações coletadas do Lattes em 14/04/2025

Acadêmico

Formação acadêmica

Doutorado em andamento em Doutorado em Engenharia Elétrica

2018 - Atual

Universidade de São Paulo
Título: OPTIMIZATION OF POWER DISTRIBUTION SYSTEM IN DIFFERENT MANAGEMENT SCENARIOS RELATED TO RENEWABLE ENERGY RESOURCES,
Maurício Barbosa de Camargo Salles. Bolsista do(a): Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, CAPES, Brasil.

Mestrado em power electronic

2009 - 2011

Shiraz University
Título: A Modified Honey Bee Mating Optimization Algorithm for Multi-Objective Placement of Distributed Generations,Ano de Obtenção: 2011
Orientador: Taher Niknam

Idiomas

Inglês

Compreende Bem, Fala Bem, Lê Bem, Escreve Bem.

Persa

Compreende Bem, Fala Bem, Lê Bem, Escreve Bem.

Turco

Compreende Pouco, Fala Pouco, Lê Pouco, Escreve Pouco.

Participação em eventos

Brazilian Symposium on Electrical Systems (SBSE) 2020. A day-ahead hybrid optimization algorithm for finding the dispatch schedule of VPP in a distribution system. 2020. (Congresso).

26th International Power System Conference (2011) 1(1) 1-8.A Modified TLBO algorithm for Placement of AVRs considering DGs. 2011. (Seminário).

Produções bibliográficas

TAHERI, SEYED IMAN ; VIEIRA, GIOVANI G.T.T. ; SALLES, MAURICIO B.C. ; AVILA, SERGIO L. . A trip-ahead strategy for optimal energy dispatch in ship power systems. ELECTRIC POWER SYSTEMS RESEARCH , v. 1, p. 106917, 2020.
TAHERI, SEYED IMAN ; SALLES, MAURICIO B. C. ; COSTA, EDUARDO C. M. . Optimal Cost Management of Distributed Generation Units and Microgrids for Virtual Power Plant Scheduling. IEEE Access , v. 8, p. 1-1, 2020.
NIKNAM, TAHER ; TAHERI, SEYED IMAN ; AGHAEI, JAMSHID ; TABATABAEI, SAJAD ; NAYERIPOUR, MAJID . A modified honey bee mating optimization algorithm for multiobjective placement of renewable energy resources. APPLIED ENERGY , v. 88, p. 4817-4830, 2011.
NIKNAM, TAHER ; TAHERI, SEYED IMAN ; MOHAMMDI, MOHAMMAD . Improvement and Revision of Polymer Electrolyte Membrane Fuel Cell Dynamic Model. ELECTRIC POWER COMPONENTS AND SYSTEMS , v. 38, p. 1353-1369, 2010.
TAHERI, SEYED IMAN ; SALLES, M. B. C. . A New Modification for TLBO Algorithm to Placement of Distributed Generation. In: 2019 International Conference on Clean Electrical Power (ICCEP), 2019, Otranto. 2019 International Conference on Clean Electrical Power (ICCEP), 2019. p. 593.
TAHERI, SEYED IMAN ; SALLES, M. B. C. ; KAGAN, N. . A new modified TLBO algorithm for placement of AVRs in distribution system. In: 2019 IEEE PES Innovative Smart Grid Technologies Conference Latin America (ISGT Latin America), 2019, Gramado. 2019 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America), 2019. p. 1.
HOSSEINI, R. ; ABBASSI, Z. ; TAHERI, S. . Estimating the time of a change in Poisson rate parameter with a genetic algorithm. In: 2015 2nd International Conference on KnowledgeBased Engineering and Innovation (KBEI), 2015, Tehran. 2015 2nd International Conference on Knowledge-Based Engineering and Innovation (KBEI), 2015. p. 595.
BAHMANIFIROUZI, BAHMAN ; NIKNAM, TAHER ; TAHERI, SEYED IMAN . A new evolutionary algorithm for placement of distributed generation. In: 2011 IEEE Power Engineering and Automation Conference (PEAM), 2011, Wuhan. 2011 IEEE Power Engineering and Automation Conference, 2011. p. 104.

Prêmios

2020

Machine Learning for All, University of London.

2020

Solar energy and electrical system design, University at Buffalo and The State University of New York.

2020

Electric Industry Operations and Markets, Duke University.

2020

Welcome to Game Theory, University of Tokyo.

2020

Mathematical Optimization for Business Problems, Big data University of IBM Company.

2020

Google Cloud Platform Big Data and Machine Learning Fundamentals, Google company.

2020

Programming for Everybody (Getting Started with Python), University of Michigan.

2020

Electric Utilities Fundamentals and Future, University of Colorado.

2020

Speak English Professionally: In Person, Online & On the Phone, Georgia University of Technology.