Hamed Moayyed (8A1B-0CAD-CCFF)

Curriculum Vitae

Hamed Moayyed

Hamed Moayyed is a Researcher at GECAD, holding an M.Sc. degree in Mathematics from K. N. Toosi University of Technology in Tehran, Iran, which ranks among the top 3 universities in the country. He earned his Ph.D. in Physics (Optoelectronics) from the University of Porto, Portugal, in 2016. Since 2017, he has been engaged in research in power and energy systems at FEUP, and since 2022, he has been a part of GECAD, Polytechnic of Porto (IPP). His research focus is on applying AI techniques to various areas, including Predictive Maintenance, Energy Forecasting, Grid Security and Resilience, and Energy Efficiency Optimization. He excels in utilizing Deep Learning techniques to enhance forecasting accuracy and address challenges in time-series data modeling, noise removal, and data privacy. In his recently published book chapter, Hamed explores the potential of Federated Learning to equip power and energy systems for a more complex future. This chapter discusses the challenges posed by the development of Information and Communication Technologies (ICTs) and their application in critical infrastructures, including energy grids. In addition to his research endeavors, Hamed supervised 4 PhD and 7 Master's students in the area of Power Systems and AI, fostering a collaborative environment for knowledge exchange and skill development. He participated in projects INFUSE (POCI-01-0145-FEDER-016731) and IMPROVE (POCI-01-0145-FEDER-031823). His tasks involved managing a team of researchers and graduate students, assigning tasks, and coordinating efforts. Additionally, he formulated project goals, work packages, and deliverables. He is currently participating in GECAD Programmatic Funding (UIDP/00760/2020) and He is also was very recently involved in the F4itech project (C2021/1-10), a European project focused on developing innovative AI-based solutions to address challenges in industrial automation. Through this project, he aimed to achieve significant productivity gains and cost savings for manufacturing and transportation industries by applying advanced AI techniques such as Federated Learning and blockchain to optimize production processes and enhance supply chain efficiency within the context of Industry 4.0. Hamed Moayyed has contributed to several high-impact factor journals, including IEEE Transactions on Industrial Informatics (IF: 11.2), Energy Conversion and Management (IF: 10.4), and IEEE Systems Journal (IF: 8.7), with multiple published papers. As of February 2024, his work has garnered over 320 citations, resulting in an h-index of 11 according to Google Scholar. Moreover, Hamed has actively contributed to the academic community through his participation in organizing four workshops, and he currently serves as a committee member of the Workshop on AI and Energy at the IEEE Conference on Artificial Intelligence (IEEE CAI 2024).

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Identificação

Identificação pessoal

Nome completo: Hamed Moayyed

Nomes de citação

Moayyed, Hamed

Identificadores de autor

Ciência ID: 8A1B-0CAD-CCFF
ORCID iD: 0000-0001-7075-1609

Websites

https://scholar.google.com/citations?user=GC63hpoAAAAJ&hl=en (Académico)

Domínios de atuação

Ciências Exatas - Matemática - Matemática Aplicada
Ciências Exatas - Ciências da Computação e da Informação
Ciências da Engenharia e Tecnologias - Engenharia Eletrotécnica, Eletrónica e Informática - Telecomunicações

Idiomas

Idioma	Conversação	Leitura	Escrita	Compreensão	Peer-review
Inglês	Utilizador proficiente (C1)	Utilizador proficiente (C1)	Utilizador proficiente (C1)	Utilizador proficiente (C1)	Utilizador proficiente (C1)
Português	Utilizador independente (B1)	Utilizador independente (B1)	Utilizador independente (B1)	Utilizador independente (B1)	Utilizador independente (B1)

Formação

	Grau	Classificação
2011 - 2016 Concluído	Física (MAP-FIS) (Doutoramento) Especialização em Physics (Optics) Universidade do Porto Faculdade de Ciências, Portugal "Analysis of Plasmonics Based Fiber Optic Sensing Structures" (TESE/DISSERTAÇÃO)	A
2010 Concluído	Mathematics (Master) K. N. Toosi University of Technology, Irão "A GENERALIZED FUNDAMENTAL PRINCIPLE" (TESE/DISSERTAÇÃO)	16.53
2005 Concluído	Mathematics (Bacharelato) Payame Noor University, Irão "Applications of the Laplace Transform Method " (TESE/DISSERTAÇÃO)	13.65

Percurso profissional

Ciência

	Categoria Profissional Instituição de acolhimento	Empregador
2022/11/01 - Atual	Investigador (Investigação)	Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento, Portugal

2019/05/01 - 2021/10/31	Investigador (Investigação)	Universidade do Porto Faculdade de Engenharia, Portugal

2017/04/04 - 2019/04/04	Pós-doutorado (Investigação)	Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

2017 - 2019	Pós-doutorado (Investigação)	Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

2017/02/01 - 2017/04/01	Pós-doutorado (Investigação)	Universidade de Aveiro Centro de Investigação e Desenvolvimento em Matemática e Aplicações, Portugal

2016/05/01 - 2016/08/31	Investigador (Investigação)	Universidade de Aveiro Centro de Investigação e Desenvolvimento em Matemática e Aplicações, Portugal

2015/06/01 - 2015/09/01	Investigador (Investigação)	Instituto de Astrofísica e Ciências do Espaço, Portugal

2012/06/01 - 2013/09/01	Investigador (Investigação)	Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Docência no Ensino Superior

	Categoria Profissional Instituição de acolhimento	Empregador
2008/06/01 - 2008/12/01	Professor Auxiliar (Docente Universitário)	KN Toosi University of Technology, Irão

2008/01/01 - 2008/06/01	Professor Auxiliar (Docente Universitário)	KN Toosi University of Technology, Irão

2007/06/01 - 2007/12/01	Professor Auxiliar (Docente Universitário)	KN Toosi University of Technology, Irão

2007/01/01 - 2007/06/01	Professor Auxiliar (Docente Universitário)	KN Toosi University of Technology, Irão

2004/06/01 - 2004/12/01	Professor Auxiliar (Docente Universitário)	KN Toosi University of Technology, Irão

Outros

	Categoria Profissional Instituição de acolhimento	Empregador
2005/03/01 - 2007/04/01	The Expert of Arithmetic Laboratory	KN Toosi University of Technology, Irão

Projetos

Bolsa

	Designação	Financiadores
2023/09/01 - Atual	Federated AI Platform for Industrial Technologies (F4ITECH) C2021/1-10 Investigador Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento, Portugal	Em curso
2017/04/01 - 2019/04/01	INFUSE - Information fusion for state estimation under classical and distributed architectures PTDC/EEI-EEL/5949/2014 Bolseiro de Pós-Doutoramento Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal	Associação para a Inovação e Desenvolvimento da FCT Concluído
2017/04 - 2019/04	INFUSE - Information fusion for state estimation under classical and distributed architectures PTDC/EEI-EEL/5949/2014	N/A
2016/05/01 - 2016/08/29	Optical imaging of metabolic effects of transcranial laser stimulation in humans UID/MAT/04106/2013 Bolseiro de Investigação Universidade de Aveiro Centro de Investigação e Desenvolvimento em Matemática e Aplicações, Portugal	National Institutes of Health Concluído
2011/01/01 - 2016/01/01	Sensorização de Elevado Desempenho em Fibra Óptica Baseada em Plasmónica BI/120052/SPR_UOSE Bolseiro de Doutoramento Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal	Concluído

Projeto

	Designação	Financiadores
2021/11/01 - Atual	GECAD Programmatic Funding, supported by FCT UIDP/00760/2020 Investigador Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento, Portugal	Associação para a Inovação e Desenvolvimento da FCT Em curso
2019/05/01 - 2021/11/01	IMPROVE - Nonlinear control, estimation and fault-detection tools POCI-01-0145-FEDER-031823 Investigador Universidade do Porto Centro de Investigação em Sistemas e Tecnologias, Portugal	Associação para a Inovação e Desenvolvimento da FCT Submetido

Produções

Publicações

Artigo em conferência	Leal, João; Moayyed, Hamed; Vale, Zita. "Detection of Human Falls via Computer Vision for Elderly Care ¿ An I3D/RNN Approach". Trabalho apresentado em Distributed Computing and Artificial Intelligence (DCAI), Guimarães, 2023. Publicado • 10.1007/978-3-031-38333-5_12 Arash Moradzadeh; Hamed Moayyed; Behnam Mohammadi-Ivatloo; Amjad Anvari-Moghaddam; Zita Vale; Reza Ghorbani. "Image Processing-based Data Integrity Attack Detection in Dynamic Line Rating Forecasting Applications". 2022. 10.1109/icsmartgrid55722.2022.9848657 Moayyed, Hamed; Diyako Ghaderyan; Yassine Boukili; A. Pedro Aguiar. "Accelerated Generalized Correntropy Interior Point Method in Power System State Estimation". Trabalho apresentado em Portuguese Conference on Automatic Control, 2020. Reis, Matheus F.; Moayyed, Hamed; A. Pedro Aguiar. "On the Use of a Maximum Correntropy Criterion in Kalman Filtering Based Strategies for Robot Localization and Mapping". Trabalho apresentado em Portuguese Conference on Automatic Control, 2020. Moayyed, Hamed; Shabnam Pesteh; Vladimiro Miranda; Jorge Pereira. "Impact of different central path neighborhoods on gross error identification in State Estimation with generalized correntropy interior point method". 2019. 10.1109/SEST.2019.8849155 Moayyed, Hamed (8A1B-0CAD-CCFF); Leite, I.T.; Coelho, L.; Santos, J.L.; Viegas, D.. "Phase interrogated plasmonic optical fiber optrode with bimetallic layers". 2015. 10.1117/12.2195090 Moayyed, H.; Leite, I.T.; Coelho, L.; Santos, J.L.; Guerreiro, A.; Viegas, D.. "Optical sensing based in plasmonics and the metamaterials enhancement factor". 2014. Moayyed, H.; Leite, I.T.; Coelho, L.; Santos, J.L.; Guerreiro, A.; Viegas, D.. "Analysis of phase interrogated SPR fiber optic sensors with different bimetallic combinations". 2014. 10.1117/12.2064315 Moayyed, H.; Leite, I.T.; Coelho, L.; Santos, J.L.; Guerreiro, A.; Viegas, D.. "Analysis of phase interrogation of SPR fiber optic sensors with characteristics tailored by the application of different metal-dielectric overlays". 2014. 10.1117/12.2059768 Moayyed, Hamed; Ivo Leite; Luis Coelho; José Luís Santos; Diana Viegas. "Analysis of phase interrogation in SPR-based sensing supported by tapered optical fibres". 2013. 10.1117/12.2026824 Moayyed, H.; Leite, I.T.; Coelho, L.; Santos, J.L.; Viegas, D.. "SPR sensing with bimetallic layers in optical fibers and phase interrogation". 2013. 10.1117/12.2027614
Artigo em revista	Arash Moradzadeh; Hamed Moayyed; Behnam Mohammadi-Ivatloo; Zita Vale; Carlos Ramos; Reza Ghorbani. "A novel cyber-Resilient solar power forecasting model based on secure federated deep learning and data visualization". Renewable Energy (2023): http://dx.doi.org/10.1016/j.renene.2023.04.055. 10.1016/j.renene.2023.04.055 Yassine BOUKILI; Motaz Ayiad; Hamed Moayyed; A. Pedro Aguiar; Zita Vale. "Robust State Estimation Model for Low Voltage Distribution Networks in the Presence of Multiple Gross Errors". IEEE Access 11 (2023): 42403-42415. http://dx.doi.org/10.1109/access.2023.3270386. 10.1109/access.2023.3270386 Hamed Moayyed; Arash Moradzadeh; Amin Mansour-Saatloo; Behnam Mohammadi-Ivatloo; Mehdi Abapour; Zita Vale. "A Global Cyber-Resilient Model for Dynamic Line Rating Forecasting Based on Deep Federated Learning". IEEE Systems Journal (2023): https://doi.org/10.1109/JSYST.2023.3287413. 10.1109/JSYST.2023.3287413 Hamed Moayyed; Arash Moradzadeh; Behnam Mohammadi-Ivatloo; A. Pedro Aguiar; Reza Ghorbani. "A Cyber-Secure generalized supermodel for wind power forecasting based on deep federated learning and image processing". Energy Conversion and Management 267 (2022): 115852-115852. http://dx.doi.org/10.1016/j.enconman.2022.115852. 10.1016/j.enconman.2022.115852 Amin Mansour Saatloo; Arash Moradzadeh; Hamed Moayyed; Mostafa Mohammadpourfard; Behnam Mohammadi-ivatloo. "Hierarchical Extreme Learning Machine Enabled Dynamic Line Rating Forecasting". IEEE Systems Journal 16 3 (2022): 4664-4674. http://dx.doi.org/10.1109/jsyst.2021.3128213. 10.1109/jsyst.2021.3128213 Arash Moradzadeh; Hamed Moayyed; Kazem Zare; Behnam Mohammadi-Ivatloo. "Short-term electricity demand forecasting via variational autoencoders and batch training-based bidirectional long short-term memory". Sustainable Energy Technologies and Assessments 52 (2022): 102209-102209. http://dx.doi.org/10.1016/j.seta.2022.102209. 10.1016/j.seta.2022.102209 Arash Moradzadeh; Hamed Moayyed; Behnam Mohammadi-ivatloo; A. Pedro Aguiar; Amjad Anvari-Moghaddam. "A Secure Federated Deep Learning-Based Approach for Heating Load Demand Forecasting in Building Environment". IEEE Access 10 (2022): 5037-5050. http://dx.doi.org/10.1109/access.2021.3139529. 10.1109/access.2021.3139529 Hamed Moayyed; Mostafa MOHAMMADPOUR FARD; Charalambos Konstantinou; Arash Moradzadeh; Behnam Mohammadi-ivatloo; A. Pedro Aguiar. "Image Processing Based Approach for False Data Injection Attacks Detection in Power Systems". IEEE Access 10 (2022): 12412-12420. http://dx.doi.org/10.1109/access.2021.3131506. 10.1109/access.2021.3131506 Arash Moradzadeh; Moayyed, Hamed; Sahar Zakeri; Behnam Mohammadi-Ivatloo; A. Pedro Aguiar. "Deep Learning-Assisted Short-Term Load Forecasting for Sustainable Management of Energy in Microgrid". Inventions 6 1 (2021): Publicado Moradzadeh, Arash; Moayyed, Hamed; Mohammadi-Ivatloo, Behnam; B. Gharehpetian, Gevork; Aguiar, A. Pedro. "Turn-to-Turn Short Circuit Fault Localization in Transformer Winding via Image Processing and Deep Learning Method". IEEE Transactions on Industrial Informatics (2021): 1-1. http://dx.doi.org/10.1109/tii.2021.3105932. 10.1109/tii.2021.3105932 Shabnam Pesteh; Moayyed, Hamed; Vladimiro Miranda. "Favorable properties of Interior Point Method and Generalized Correntropy in power system State Estimation". Electric Power Systems Research 178 (2020): 106035-106035. http://www.sciencedirect.com/science/article/pii/S0378779619303542. https://doi.org/10.1016/j.epsr.2019.106035 Shabnam Pesteh; Moayyed, Hamed; Vladimiro Miranda; Jorge Pereira; Victor Freitas; A Simões Costa; JBA London Jr. "A new interior point solver with generalized correntropy for multiple gross error suppression in state estimation". Electric Power Systems Research (2019): http://dx.doi.org/10.1016/j.epsr.2019.105937. 10.1016/j.epsr.2019.105937 Moayyed, H.; Teixeira Leite, I.; Coelho, L.; Luis Santos, J.; Viegas, D.. "Phase-interrogated SPR sensing structures based on tapered and tip optrode optical fiber configurations with bimetallic layers". Measurement Science and Technology 28 9 (2017): http://www.scopus.com/inward/record.url?eid=2-s2.0-85028386102&partnerID=MN8TOARS. 10.1088/1361-6501/aa7c27 Moayyed, Hamed; Ivo Leite; Luis Coelho; José Luís Santos; Diana Viegas. "Analysis of a plasmonic based optical fiber optrode with phase interrogation". Photonic Sensors 6 3 (2016): 221-233. https://doi.org/10.1007/s13320-016-0329-5. 10.1007/s13320-016-0329-5 Coelho, L.C.C.; De Almeida, J.M.M.M.; Moayyed, Hamed (8A1B-0CAD-CCFF); Santos, J.L.; Viegas, D.. "Multiplexing of surface plasmon resonance sensing devices on etched single-mode fiber". Journal of Lightwave Technology 33 2 (2015): 432-438. http://www.scopus.com/inward/record.url?eid=2-s2.0-84922566715&partnerID=MN8TOARS. 10.1109/JLT.2014.2386141 Moayyed, Hamed; IT Leite; Luis Coelho; José Luís Santos; Diana Viegas. "Theoretical Study of Phase-Interrogated Surface Plasmon Resonance Based on Optical Fiber Sensors with Metallic and Oxide Layers". Plasmonics 10 4 (2015): 979-987. https://doi.org/10.1007/s11468-015-9889-2. 10.1007/s11468-015-9889-2 Moayyed, Hamed; Ivo Teixeira Leite; Luis Coelho; José Lusí Santos; Diana Viegas. "Analysis of Phase Interrogated SPR Fiber Optic Sensors With Bimetallic Layers". IEEE Sensors Journal 14 10 (2014): 3662-3668. 10.1109/JSEN.2014.2329918
Capítulo de livro	Hamed Moayyed; Arash Moradzadeh; Behnam Mohammadi-Ivatloo; Reza Ghorbani. "Federated Deep Learning Technique for Power and Energy Systems Data Analysis". 387-404. Wiley, 2022. 10.1002/9781119834052.ch19

Atividades

Apresentação oral de trabalho

	Título da apresentação	Nome do evento Anfitrião (Local do evento)
2023/07/13	Detection of Human Falls via Computer Vision for Elderly Care - An I3D/RNN Approach	DCAI 2023: 20th International Conference on Distributed Computing and Artificial Intelligence
2020/07	Accelerated Generalized Correntropy Interior Point Method in Power System State Estimation	Portuguese Conference on Automatic Control (Portugal)
2019/09	Impact of different central path neighborhoods on gross error identification in State Estimation with generalized correntropy interior point method	2019 International Conference on Smart Energy Systems and Technologies (SEST)

Orientação

	Título / Tema Papel desempenhado	Curso (Tipo) Instituição / Organização
2021/09/01 - 2023/06/17	Automatic Video-based Fall Detection System An I3D/RNN approach Coorientador	Master in Artificial Intelligence Engineering (Mestrado) Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal

Participação em evento

	Descrição da atividade Tipo de evento	Nome do evento Instituição / Organização
2024/01/30 - 2024/02/02	Participation in the Smart Building Conference Exposição	ISE 2024 - Integrated Systems Europe
2023/06/19 - 2023/06/23	Future Energy Systems; Advances in Operations Research (OR) and the Artificial Intelligence (AI) Oficina (workshop)	DTU PES 2023 / Future Energy Systems; Advances in Operations Research (OR) and the Artificial Intelligence (AI) Danmarks Tekniske Universitet, Dinamarca
2022/04/18 - 2022/04/22	Training event with a global scope aiming at updating participants on the most recent advances in the critical and fast-developing area of deep learning. Oficina (workshop)	DeepLearn 2022 Spring Algoritmi Center, University of Minho, Guimarães, Portugal
2017/07/07 - 2017/07/14	Vision Understanding and Machine Intelligence (VISUM) Oficina (workshop)	VISUM 2017 Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2012/09/03 - 2012/09/05	Optical Fibre Sensing - Novel and Reliable Optical Fibre Sensor Systems for Future Security and Safety Applications Oficina (workshop)	Optical Fibre Sensing Institute of Electrical Engineering, Suazilândia

Membro de comissão

	Descrição da atividade Tipo de participação	Instituição / Organização
2024/06/25 - 2024/06/27	Workshop AI and Energy (IEEE CAI 2024 - IEEE Conference on Artificial Intelligence) Membro
2017/02/01 - 2019/02/01	The advisor of the International Journal of Power and Energy Systems K.N. Toosi University of Technology. Consultor	KN Toosi University of Technology, Irão

Distinções

Prémio

2009	Bright Talents Position KN Toosi University of Technology, Irão
2008	Bright Talents Position KN Toosi University of Technology, Irão
2005	Bright Talents Position Payame Noor University, Irão
2003	Selected Editor of scientific magazines Ferdowsi University of Mashhad, Irão