Mohammad Parhamfar | Engineering | Best Researcher Award

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Dr. Mohammad Parhamfar | Engineering | Best Researcher Award

www.parhamfar.com, Iran

Dr. Mohammad Parhamfar is a distinguished renewable energy expert and electrical engineer specializing in solar energy, with 19 years of experience spanning software development, electrical engineering, and sustainable energy solutions. Holding a Doctor of Business Administration (DBA) and a Master’s in Renewable Energy, he has contributed significantly to the field through over 40 published papers, eight authored books, and multiple patents in electrical software design and lightning protection for solar farms. As a leader in solar project development, he has designed 50 MW solar projects, implemented 1 MW rooftop systems, and played a key role in Iran’s first 10 MW solar power plant. He has received numerous awards, including the 2023 Creative Researcher Award, and serves on the editorial boards of various energy-related journals. His innovations in energy management, microgrids, and carbon trading, along with his active participation in international conferences, cement his reputation as a pioneering researcher and industry leader.

Professional Profile 

Education

Dr. Mohammad Parhamfar holds a Doctor of Business Administration (DBA), a Master’s degree in Renewable Energy, and a Bachelor’s degree in Electrical Engineering. His multidisciplinary educational background integrates technical expertise with strategic business management, enabling him to drive innovation in renewable energy and electrical engineering. His academic journey has equipped him with deep knowledge in solar energy systems, electrical installations, and energy management. He has also obtained numerous technical certifications in solar designing, energy auditing, microgrids, and IEEE teaching standards, further strengthening his expertise in sustainable energy solutions. His commitment to education extends beyond personal learning, as he has actively contributed to academia as a lecturer in solar energy, sharing his knowledge with students and professionals. Dr. Parhamfar’s strong academic foundation, coupled with practical experience, has positioned him as a leader in the field, allowing him to contribute significantly to large-scale solar projects, research, and policy development.

Professional Experience

Dr. Mohammad Parhamfar boasts an extensive professional career spanning over 19 years in renewable energy, electrical engineering, and software development. He has held key leadership positions, including CEO of Yeganeh Energy, where he managed the implementation of solar projects, and CTO of Applebone Company, specializing in solar energy and IT solutions. Dr. Parhamfar has led the development of large-scale solar projects, including designing a 50 MW solar system and coordinating the first 10 MW solar power plant in Iran. He has also served as a project manager and electrical engineer for various high-profile projects, such as the 1000 MW solar farm in Isfahan and multiple international solar initiatives in Armenia and Oman. As a freelancer, he has provided consulting services to several organizations, contributing his expertise in renewable energy, electrical systems design, and project management. His work has earned him recognition as a leader in the renewable energy sector.

Research Interest

Dr. Mohammad Parhamfar’s research interests lie at the intersection of renewable energy, electrical engineering, and sustainable development. His primary focus is on solar energy systems, particularly the design, implementation, and optimization of large-scale solar projects. He is also deeply involved in the integration of artificial intelligence with renewable energy solutions to enhance efficiency and performance. Dr. Parhamfar is passionate about addressing climate change through sustainable energy practices, with research extending into carbon trading and energy management strategies. He has explored innovative topics like lightning protection systems, grounding techniques for solar farms, and the development of electrical software for energy systems. His contributions to the renewable energy field include pioneering projects such as the first low-energy government building in Isfahan and the world’s first lightning risk assessment software for solar power plants. Additionally, Dr. Parhamfar is committed to exploring microgrid technology and its role in optimizing energy distribution and reducing environmental impacts.

Award and Honor

Dr. Mohammad Parhamfar has received numerous prestigious awards and honors for his groundbreaking contributions to renewable energy and electrical engineering. In 2023, he was recognized as a Creative Researcher by the International Academic Achievements and Award for his innovative work in solar energy. His remarkable achievements have also earned him recognition as the Best Innovative Engineer in 2013 in Isfahan and the Best Author in Modern Technology Journal in 2024. Dr. Parhamfar’s excellence in solar energy and engineering was further acknowledged when he ranked first in his Master’s program in Renewable Energy. He has also received accolades for his contributions to the energy sector, including being selected for his pioneering work on solar power plant insurance in Iran. His extensive involvement in research and development has earned him a reputation as a leading expert in renewable energy and a recipient of several honors for his contributions to technology and sustainability.

Research Skill

Dr. Mohammad Parhamfar possesses exceptional research skills that blend technical expertise with innovative problem-solving in the fields of renewable energy, electrical engineering, and energy management. His extensive experience in solar energy systems has enabled him to lead and contribute to cutting-edge research projects, particularly in the areas of solar power plant design, lightning protection systems, and energy optimization. Dr. Parhamfar’s research skills are demonstrated through his ability to apply complex concepts such as artificial intelligence to renewable energy solutions, enhancing the efficiency and effectiveness of energy systems. He is adept at utilizing software development tools to create groundbreaking solutions like the world’s first lightning risk assessment software for solar plants. Additionally, his ability to collaborate across multidisciplinary teams and lead large-scale research initiatives has made him a key figure in the energy sector. His research is marked by creativity, practical application, and a strong commitment to sustainable energy solutions.

Conclusion

Mohammad Parhamfar is highly suitable for the Best Researcher Award, particularly in Renewable Energy and Electrical Engineering. His strong research portfolio, industry contributions, patents, and leadership roles make him a leading figure in his field. Strengthening his academic publication impact, securing more international research funding, and increasing global collaborations would further enhance his competitiveness for the award.

Publications Top Noted

  • Title: Towards the application of renewable energy technologies in green ports: Technical and economic perspectives
    Authors: AMA Mohammad Parhamfar, Iman Sadeghkhani
    Year: 2023
    Citation: IET Renewable Power Generation, Volume 37
  • Title: EMPOWERING THE GRID: TOWARD THE INTEGRATION OF ELECTRIC VEHICLES AND RENEWABLE ENERGY IN POWER SYSTEMS
    Authors: MP Alireza Zabihi
    Year: 2024
    Citation: International Journal of Energy Security and Sustainable Energy (IJESSE), Volume 23
  • Title: Towards the net zero carbon future: A review of blockchain‐enabled peer‐to‐peer carbon trading
    Authors: M Parhamfar, I Sadeghkhani, AM Adeli
    Year: 2024
    Citation: Energy Science & Engineering, Volume 12, Issue 3, Pages 1242-1264
  • Title: Increase power output and radiation in photovoltaic systems by installing mirrors
    Authors: A Zabihi, M Parhamfar, SS Duvvuri, M Abtahi
    Year: 2024
    Citation: Measurement: Sensors, Volume 31, Article 100946
  • Title: Lightning Risk Assessment Software Design for Photovoltaic Plants in Accordance with IEC 62305-2
    Authors: M Parhamfar
    Year: 2022
    Citation: Energy System Research, Volume 5, Issue 2, Page 21
  • Title: Frequency and Time Series Analysis of Surge Arrester in Power Distribution Systems
    Authors: A Zabihi, M Parhamfar
    Year: 2024
    Citation: Advances in Engineering and Intelligence Systems, Volume 3, Issue 03, Pages 94-103
  • Title: A Light Weight Mobile Net SSD Algorithm based identification and Detection of Multiple Defects in Ceramic Insulators
    Authors: NB Mohammad Parhamfar, P. Bhavya Sree, K. Balaji
    Year: 2024
    Citation: Journal of Modern Technology, Volume 1, Issue 1, Pages 59-74
  • Title: Towards Green Airports: Factors Influencing Greenhouse Gas Emissions and Sustainability through Renewable Energy
    Authors: M Parhamfar
    Year: 2024
    Citation: Next Research, Article 100060
  • Title: Feasibility Study and Design of Smart Low-Energy Building Electrical Installations (Case Study: Isfahan University, Virtual Faculty Building)
    Authors: SS Mohammad Parhamfar
    Year: 2023
    Citation: Energy Systems Research Journal, Volume 6, Issue 3, Pages 57-74
  • Title: The Study of Electrical Grid Components After Installing a 10 MW Photovoltaic Power Plant with Large-Scale Batteries at Peak Load by DigSilent Software
    Authors: AA Mohammad Parhamfar
    Year: 2022
    Citation: American Journal of Electrical Power and Energy Systems, Volume 11, Issue 5, Pages 97-107

Giada Kyaw Oo D’Amore | Engineering | Best Researcher Award

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Dr. Giada Kyaw Oo D’Amore | Engineering | Best Researcher Award

Assegnista da Ricerca at Università di Trieste, Italy

Giada Kyaw Oo D’Amore is an esteemed researcher and professor in the field of industrial engineering, with a special focus on marine, mechanical, and energy engineering. She currently serves as a Professor on Contract at the University of Trieste and as a Research Fellow at the same institution. Over the years, Giada has demonstrated expertise in various engineering areas, including noise reduction technologies and metamaterials for marine applications. She has also worked in the industry as a Project Leader at Phononic Vibes s.r.l., contributing to national and international research projects. Giada’s research is widely published in prominent journals, and she holds several leadership positions, including guest editor roles for renowned journals. Her work continues to contribute to innovative solutions for sustainable engineering practices, particularly in marine and environmental applications.

Professional Profile

Education

Giada Kyaw Oo D’Amore holds a PhD in Industrial Engineering from the University of Trieste, specializing in mechanical, marine, energy, and production engineering. She completed her doctoral research from November 2018 to March 2022, deepening her expertise in advanced engineering solutions. Additionally, Giada earned a Master’s degree in Marine Engineering from the University of Trieste in 2018. This solid educational foundation has enabled her to combine theoretical knowledge with practical applications, particularly in marine and environmental engineering contexts. Her education has been pivotal in shaping her research contributions and professional pursuits.

Professional Experience

Giada Kyaw Oo D’Amore has an extensive professional background, with roles spanning academia and industry. She has been serving as a Professor on Contract at the University of Trieste since 2021, where she teaches and leads research projects. From 2023 to present, she has also held the position of Research Fellow at the university, focusing on innovative engineering applications. Giada’s industry experience includes a leadership role at Phononic Vibes s.r.l., a spin-off from Politecnico di Milano, where she led R&D projects for national and international calls. She began her career as a Junior R&D Developer at Materialscan s.r.l., a spin-off of the University of Trieste. Her professional work encompasses significant contributions to the fields of acoustic engineering, material science, and noise reduction technologies.

Awards and Honors

Giada Kyaw Oo D’Amore has garnered recognition for her groundbreaking work in marine and environmental engineering. Her contributions have been widely acknowledged, particularly in the realm of noise reduction technologies and the application of metamaterials for soundproofing in marine systems. In addition to her academic accolades, Giada has held various esteemed positions, including guest editor for renowned journals like Applied Sciences, where she edited special issues on engineering applications and finite element methods. Her work has also been featured in numerous leading international conferences and publications, underlining her impact on the field. Giada’s commitment to research excellence and her role in advancing sustainable engineering practices have earned her respect within the academic and industrial communities.

Research Interest

Giada Kyaw Oo D’Amore’s research interests lie at the intersection of industrial engineering, marine engineering, and energy sustainability. She focuses primarily on the development of innovative technologies for noise reduction and the application of metamaterials to improve acoustic performance, particularly in marine environments. Her research also delves into the optimization of after-treatment systems to reduce ships’ acoustic footprints and environmental impact. Giada’s expertise extends to numerical simulations, finite element analysis, and computational fluid dynamics, which she uses to model and optimize complex engineering systems. She is particularly interested in creating multifunctional solutions, such as marine scrubbers, that address both emission control and acoustic challenges. Her work is committed to advancing sustainable engineering solutions that minimize environmental and acoustic pollution in the marine sector.

Publications Top Noted

  • Title: A Design-Oriented Model for Transmission Loss Optimization in Marine DOCs
    Authors: Kašpar, J., Mauro, F., Biot, M., Rognoni, G., Kyaw Oo D’Amore, G.
    Year: 2024
    Citations: 0
  • Title: Application of Modal Analysis for the Vibrational Comfort Investigation on Board Ships: a Case Study
    Authors: Rognoni, G., Mažeika, P., D’Amore, G.K.O., Djačkov, V., Biot, M.
    Year: 2024
    Citations: 0
  • Title: Numerical study on modelling perforated elements using porous baffle interface and porous region
    Authors: Kyaw Oo D’Amore, G., Mauro, F.
    Year: 2023
    Citations: 5
  • Title: Integration and optimization of the after-treatments systems to reduce the acoustic footprint of the ships
    Authors: Kyaw Oo D’Amore, G., Morgut, M., Biot, M., Mauro, F., Kašpar, J.
    Year: 2023
    Citations: 2
  • Title: Investigation on the Impact of a Metamaterial Solution for the Mitigation of Noise Radiated by a Ship Panel
    Authors: Rognoni, G., D’amore, G.K.O., Brocco, E., Moro, L., Biot, M.
    Year: 2023
    Citations: 1
  • Title: Acoustic black holes: The new frontier for soundproofing on board ships
    Authors: D’Amore, G.K.O., Rognoni, G., Biot, M., Mauro, F.
    Year: 2023
    Citations: 1
  • Title: A Preliminary Study of a Multifunctional DOC/Wet-Scrubber Capable to Reduce both Chemical and Acoustic Emissions in Marine Field
    Authors: Kyaw Oo D’Amore, G., Kašpar, J.
    Year: 2023
    Citations: 0
  • Title: A Numerical Method to Fit the Need of a Straightforward Characterization of Viscoelastic Materials for Marine Applications
    Authors: Rognoni, G., Kyaw Oo D’Amore, G., Brocco, E., Biot, M.
    Year: 2022
    Citations: 1
  • Title: A Combined CFD-FEM Approach to Evaluate Acoustic Performances of an Integrated Scrubber-Silencer for Marine Applications
    Authors: Kyaw Oo D’Amore, G., Mauro, F., Morgut, M., Rognoni, G., Biot, M.
    Year: 2022
    Citations: 1
  • Title: A Metamaterial Solution for Soundproofing on Board Ship
    Authors: Kyaw Oo D’Amore, G., Caverni, S., Biot, M., Rognoni, G., D’alessandro, L.
    Year: 2022
    Citations: 5

Syamsul Rizal | Engineering | Best Researcher Award

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Dr. Syamsul Rizal | Engineering | Best Researcher Award

Postdoctoral at ICT Convergence Research Center, South Korea

Dr. Syamsul Rizal is an Assistant Professor at Telkom University, Indonesia, and a postdoctoral researcher at Kumoh National Institute of Technology, South Korea, with expertise in machine learning, AI, and blockchain integration. With over five years of teaching experience, he instructs courses in programming and AI, fostering the next generation of tech innovators. His research spans real-time locating systems, biomedical applications of AI, and recently, blockchain with AI, showcasing his focus on emerging, interdisciplinary technology. Dr. Rizal has a strong publication record with contributions to prominent conferences and journals, demonstrating his commitment to advancing AI and machine learning. Honored with a Best Thesis Award and scholarships, he combines technical skill, academic rigor, and practical application in his work. Known for his collaborative spirit and leadership in international research settings, Dr. Rizal is recognized for his contributions to applied AI and his role in innovative technology development.

Professional profile

Education📚

Dr. Syamsul Rizal completed his Master’s and Ph.D. programs in the Department of IT Convergence at the Kumoh National Institute of Technology, South Korea, from 2013 to 2018. His advanced studies focused on integrating emerging technologies across fields such as networked systems, IoT, and AI. As a team leader in the Networked Systems Laboratory, he worked on projects related to ISA100.11a, data virtualization, and image and video processing, gaining hands-on experience in cutting-edge technology. During his doctoral studies, he was honored with a Best Thesis Award in 2015, highlighting his research excellence and innovative approach. His education, supported by a scholarship at Kumoh National Institute of Technology, provided a robust foundation in both theoretical and applied aspects of information technology. Dr. Rizal’s academic journey has equipped him with interdisciplinary expertise, enabling him to address complex challenges in machine learning, blockchain, and AI-driven solutions in his professional career.

Professional Experience🏛️

Dr. Syamsul Rizal has a diverse professional background that spans academic and applied research roles. Currently, he is an Assistant Professor at Telkom University, Indonesia, where he has been teaching since 2019, specializing in programming, artificial intelligence, and mobile application development. His teaching focuses on empowering students with foundational and advanced skills in Python, Java, and C. Alongside teaching, Dr. Rizal is actively involved in research, particularly in machine learning, with projects like AI-driven tea leaf classification. Since 2023, he has also served as a postdoctoral researcher at Kumoh National Institute of Technology in South Korea, where he is developing blockchain systems integrated with AI, reflecting his commitment to emerging technologies. Dr. Rizal’s previous experience includes a postdoctoral role at DGIST, South Korea, where he worked on real-time locating systems and deep learning algorithms for automotive applications. His experience highlights a strong interdisciplinary approach and dedication to innovation.

🔬 Research Interest

Dr. Syamsul Rizal’s research interests are rooted in interdisciplinary applications of advanced technology, particularly in machine learning, AI integration, and networked systems. His work spans diverse areas such as data reconstruction, real-time locating systems (RTLS), and biomedical engineering applications. Dr. Rizal’s research also emphasizes the application of machine learning algorithms for classification tasks, including innovative projects like tea leaf classification and brain stroke detection. He has explored machine learning in biomedical contexts, using techniques like convolutional neural networks (CNNs) for medical image analysis, including retinal pathology and colon cancer classification. Further extending his expertise, Dr. Rizal is engaged in developing blockchain technology with AI capabilities, underscoring his focus on pioneering solutions that leverage AI for security and scalability in decentralized networks. His research reflects a commitment to advancing the practical impact of machine learning and AI across fields as diverse as agriculture, healthcare, and blockchain technology.

🏆Awards and Honors

Dr. Syamsul Rizal has been recognized for his academic excellence and contributions to the field of technology through several awards and honors. Notably, he received the Best Thesis Award in 2015 from the Kumoh National Institute of Technology, South Korea, where he completed both his Master’s and Doctoral studies. This award highlights his exceptional research skills and his innovative contributions during his graduate studies, specifically in networked systems and real-time data communication. Additionally, he was granted a prestigious scholarship to join the Networked System Laboratory at Kumoh, supporting his research in cutting-edge areas such as IoT, virtualization, and image and video processing. These accolades underscore Dr. Rizal’s dedication to advancing technological innovation and his role as a leader in applied research, contributing valuable insights and advancements in fields ranging from machine learning and artificial intelligence to networked systems and data science.

Conclusion

Dr. Syamsul Rizal is a compelling candidate for the Best Researcher Award due to his robust background in machine learning, AI, and systems engineering, combined with a strong publication record and international experience. By further expanding his publication reach and collaborative initiatives, Dr. Rizal could enhance his profile and make an even stronger case for this award, which recognizes impactful and innovative research.

Publications top noted📜

  • ND Miranda, L Novamizanti, S Rizal
    Title: “Convolutional Neural Network pada klasifikasi sidik jari menggunakan RESNET-50”
    Journal: Jurnal Teknik Informatika
    Year: 2020
    Citations: 88
  • YN Fu’adah, I Wijayanto, NKC Pratiwi, FF Taliningsih, S Rizal, …
    Title: “Automated classification of Alzheimer’s disease based on MRI image processing using convolutional neural network (CNN) with AlexNet architecture”
    Journal: Journal of Physics: Conference Series
    Year: 2021
    Citations: 57
  • S Rizal, N Ibrahim, NORKC PRATIWI, S Saidah, RYNUR FUÂ
    Title: “Deep Learning untuk Klasifikasi Diabetic Retinopathy menggunakan Model EfficientNet”
    Journal: ELKOMIKA
    Year: 2020
    Citations: 18
  • S Rizal, T Kartika, GA Septia
    Title: “Studi Etnobotani Tumbuhan Obat di Desa Pagar Ruyung Kecamatan Kota Agung Kabupaten Lahat Sumatera Selatan”
    Journal: Sainmatika
    Year: 2021
    Citations: 17
  • NORKC PRATIWI, NUR IBRAHIM, YNUR FUÂ, S RIZAL
    Title: “Deteksi Parasit Plasmodium pada Citra Mikroskopis Hapusan Darah dengan Metode Deep Learning”
    Journal: ELKOMIKA
    Year: 2021
    Citations: 15
  • AA Pramudita, Y Wahyu, S Rizal, MD Prasetio, AN Jati, R Wulansari, …
    Title: “Soil water content estimation with the presence of vegetation using ultra wideband radar-drone”
    Journal: IEEE Access
    Year: 2022
    Citations: 13
  • AA Santosa, RYN Fu’adah, S Rizal
    Title: “Deteksi Penyakit pada Tanaman Padi Menggunakan Pengolahan Citra Digital dengan Metode Convolutional Neural Network”
    Journal: Journal of Electrical and System Control Engineering
    Year: 2023
    Citations: 10
  • ME Abdulfattah, L Novamizanti, S Rizal
    Title: “Super Resolution pada Citra Udara menggunakan Convolutional Neural Network”
    Journal: ELKOMIKA
    Year: 2021
    Citations: 10
  • I Wijayanto, S Rizal, S Hadiyoso
    Title: “Epileptic electroencephalogram signal classification using wavelet energy and random forest”
    Journal: AIP Conference Proceedings
    Year: 2023
    Citations: 9
  • S Saidah, YN Fuadah, F Alia, N Ibrahim, R Magdalena, S Rizal
    Title: “Facial skin type classification based on microscopic images using convolutional neural network (CNN)”
    Conference: 1st International Conference on Electronics, Biomedical …
    Year: 2021
    Citations: 9
  • YN Fu’adah, S Sa’idah, I Wijayanto, N Ibrahim, S Rizal, R Magdalena
    Title: “Computer Aided Diagnosis for Early Detection of Glaucoma Using Convolutional Neural Network (CNN)”
    Conference: 1st International Conference on Electronics, Biomedical …
    Year: 2021
    Citations: 9
  • HM Lathifah, L Novamizanti, S Rizal
    Title: “Fast and accurate fish classification from underwater video using you only look once”
    Journal: IOP Conference Series: Materials Science and Engineering
    Year: 2020
    Citations: 8