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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). Additionally, he is affiliated as a Researcher at LASI - Intelligent Systems Associate Laboratory. His research focus is on applying AI techniques to various areas, including Predictive Maintenance, Energy Forecasting, Grid Security and Resilience, and Energy Efficiency Optimization. Hamed's expertise encompasses mathematical modeling, computer simulations, optimization, numerical analysis, software development, deep learning, and real-time applications, with a particular emphasis on AI applications. He excels in utilizing Deep Learning techniques such as LSTM, CNN, and Federated Learning to enhance forecasting accuracy and address challenges in time-series data modeling, noise removal, and data privacy. He is proficient in several programming languages, including Python, R, and MATLAB, and is adept at utilizing NumPy, pandas, scikit-learn, and matplotlib for efficient data processing, analysis, and visualization. Furthermore, he has extensive experience in using Deep Learning Frameworks, particularly TensorFlow and Keras, to implement and optimize models, driving advancements in power system analytics. 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. Additionally, he is currently involved in the F4itech project, a European project focused on developing innovative AI-based solutions to address challenges in industrial automation. Through this project, he aims 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).
Identification

Personal identification

Full name
Hamed Moayyed

Citation names

  • Moayyed, Hamed

Author identifiers

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

Websites

Knowledge fields

  • Exact Sciences - Mathematics - Applied Mathematics
  • Exact Sciences - Computer and Information Sciences
  • Engineering and Technology - Electrotechnical Engineering, Electronics and Informatics - Telecommunications

Languages

Language Speaking Reading Writing Listening Peer-review
English Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1) Advanced (C1)
Portuguese Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1) Intermediate (B1)
Education
Degree Classification
2011 - 2016
Concluded
Física (MAP-FIS) (Doutoramento)
Major in Physics (Optics)
Universidade do Porto Faculdade de Ciências, Portugal
"Analysis of Plasmonics Based Fiber Optic Sensing Structures" (THESIS/DISSERTATION)
A
2010
Concluded
Mathematics (Master)
K. N. Toosi University of Technology, Iran
"A GENERALIZED FUNDAMENTAL PRINCIPLE" (THESIS/DISSERTATION)
16.53
2005
Concluded
Mathematics (Bacharelato)
Payame Noor University, Iran
"Applications of the Laplace Transform Method " (THESIS/DISSERTATION)
13.65
Affiliation

Science

Category
Host institution
Employer
2022/11/01 - Current Researcher (Research) 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 Researcher (Research) Universidade do Porto Faculdade de Engenharia, Portugal
2017/04/04 - 2019/04/04 Postdoc (Research) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2017 - 2019 Postdoc (Research) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
2017/02/01 - 2017/04/01 Postdoc (Research) Universidade de Aveiro Centro de Investigação e Desenvolvimento em Matemática e Aplicações, Portugal
2016/05/01 - 2016/08/31 Researcher (Research) Universidade de Aveiro Centro de Investigação e Desenvolvimento em Matemática e Aplicações, Portugal
2015/06/01 - 2015/09/01 Researcher (Research) Instituto de Astrofísica e Ciências do Espaço, Portugal
2012/06/01 - 2013/09/01 Researcher (Research) Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal

Teaching in Higher Education

Category
Host institution
Employer
2008/06/01 - 2008/12/01 Assistant Professor (University Teacher) KN Toosi University of Technology, Iran
2008/01/01 - 2008/06/01 Assistant Professor (University Teacher) KN Toosi University of Technology, Iran
2007/06/01 - 2007/12/01 Assistant Professor (University Teacher) KN Toosi University of Technology, Iran
2007/01/01 - 2007/06/01 Assistant Professor (University Teacher) KN Toosi University of Technology, Iran
2004/06/01 - 2004/12/01 Assistant Professor (University Teacher) KN Toosi University of Technology, Iran

Others

Category
Host institution
Employer
2005/03/01 - 2007/04/01 The Expert of Arithmetic Laboratory KN Toosi University of Technology, Iran
Projects

Grant

Designation Funders
2023/09/01 - Current Federated AI Platform for Industrial Technologies (F4ITECH)
Researcher
Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento, Portugal
Ongoing
2017/04/01 - 2019/04/01 INFUSE - Information fusion for state estimation under classical and distributed architectures
Post-doc Fellow
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Associação para a Inovação e Desenvolvimento da FCT
Concluded
2017/04 - 2019/04 INFUSE - Information fusion for state estimation under classical and distributed architectures N/A
2016/05/01 - 2016/08/29 Optical imaging of metabolic effects of transcranial laser stimulation in humans
UID/MAT/04106/2013
Research Fellow
Universidade de Aveiro Centro de Investigação e Desenvolvimento em Matemática e Aplicações, Portugal
National Institutes of Health
Concluded
2011/01/01 - 2016/01/01 Sensorização de Elevado Desempenho em Fibra Óptica Baseada em Plasmónica
BI/120052/SPR_UOSE
PhD Student Fellow
Instituto de Engenharia de Sistemas e Computadores Tecnologia e Ciência, Portugal
Concluded

Contract

Designation Funders
2021/11/01 - Current GECAD Programmatic Funding, supported by FCT
UIDP/00760/2020
Researcher
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
Ongoing
2019/05/01 - 2021/11/01 IMPROVE - Nonlinear control, estimation and fault-detection tools
Researcher
Universidade do Porto Centro de Investigação em Sistemas e Tecnologias, Portugal
Associação para a Inovação e Desenvolvimento da FCT
Submitted
Outputs

Publications

Book chapter
  1. 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
Conference paper
  1. Leal, João; Moayyed, Hamed; Vale, Zita. "Detection of Human Falls via Computer Vision for Elderly Care ¿ An I3D/RNN Approach". Paper presented in Distributed Computing and Artificial Intelligence (DCAI), Guimarães, 2023.
    Published • 10.1007/978-3-031-38333-5_12
  2. 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
  3. Moayyed, Hamed; Diyako Ghaderyan; Yassine Boukili; A. Pedro Aguiar. "Accelerated Generalized Correntropy Interior Point Method in Power System State Estimation". Paper presented in Portuguese Conference on Automatic Control, 2020.
  4. 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". Paper presented in Portuguese Conference on Automatic Control, 2020.
  5. 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
  6. 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
  7. 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.
  8. 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
  9. 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
  10. 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
  11. 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
Journal article
  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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):
    Published
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
Activities

Oral presentation

Presentation title Event name
Host (Event location)
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)

Supervision

Thesis Title
Role
Degree Subject (Type)
Institution / Organization
2021/09/01 - 2023/06/17 Automatic Video-based Fall Detection System An I3D/RNN approach
Co-supervisor
Master in Artificial Intelligence Engineering (Master)
Instituto Politécnico do Porto Instituto Superior de Engenharia do Porto, Portugal

Event participation

Activity description
Type of event
Event name
Institution / Organization
2024/01/30 - 2024/02/02 Participation in the Smart Building Conference
Exhibition
ISE 2024 - Integrated Systems Europe
2023/06/19 - 2023/06/23 Future Energy Systems; Advances in Operations Research (OR) and the Artificial Intelligence (AI)
Workshop
DTU PES 2023 / Future Energy Systems; Advances in Operations Research (OR) and the Artificial Intelligence (AI)
Danmarks Tekniske Universitet, Denmark
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.
Workshop
DeepLearn 2022 Spring
Algoritmi Center, University of Minho, Guimarães, Portugal
2017/07/07 - 2017/07/14 Vision Understanding and Machine Intelligence (VISUM)
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
Workshop
Optical Fibre Sensing
Institute of Electrical Engineering, Swaziland

Committee member

Activity description
Role
Institution / Organization
2024/06/25 - 2024/06/27 Workshop AI and Energy (IEEE CAI 2024 - IEEE Conference on Artificial Intelligence)
Member
2017/02/01 - 2019/02/01 The advisor of the International Journal of Power and Energy Systems K.N. Toosi University of Technology.
Advisor / Consultant
KN Toosi University of Technology, Iran
Distinctions

Award

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