Prof. Dr. Mauro Augusto da Rosa | Power System | Best Innovation Award

Prof. Dr. Mauro Augusto da Rosa | Power System | Best Innovation Award

Prof. Dr. Mauro Augusto da Rosa | INESC P&D Brasil | Brazil

Mauro Augusto da Rosa is a distinguished electrical engineer, researcher, and professor specializing in power systems planning, renewable energy, and artificial intelligence applications. He holds a Ph.D. in Electrical Engineering from the University of Porto, Portugal, with a research placement at KTH Sweden. Throughout his career, he has worked as a Senior Researcher at INESC TEC, a Professor at PUCRS and UFSC, and an Executive Director at INESC P&D Brazil. His research focuses on energy distribution systems, automation, and reliability, with significant contributions to technological innovations in electrical energy storage and AI-driven power system optimization.

Professional Profile:

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Suitability for Best Innovation Award

Dr. Mauro Augusto da Rosa is a highly deserving candidate for the Best Innovation Award due to his groundbreaking contributions to power systems planning, renewable energy, and AI-driven energy optimization. His work has led to technological advancements in energy distribution, automation, and storage, playing a crucial role in shaping the future of sustainable and intelligent power systems.

Education & Experience πŸŽ“πŸ’Ό

πŸ”Ή Ph.D. in Electrical & Computer Engineering – University of Porto, Portugal (2010)
πŸ”Ή Master’s in Electrical Engineering – PUCRS, Brazil (2003)
πŸ”Ή Specialization in Distribution Systems Planning – Mackenzie University, Brazil (2002)
πŸ”Ή B.Sc. in Electrical Engineering – PUCRS, Brazil (1998)

πŸ”Έ Professor – Federal University of Santa Catarina, UFSC (2013–Present)
πŸ”Έ Executive Director – INESC P&D Brazil (2023–Present)
πŸ”Έ Director of Science & Technology – INESC P&D Brazil (2012–2023)
πŸ”Έ Senior Researcher – INESC TEC, Portugal (2010–2012)
πŸ”Έ Visiting Professor – University of Porto, Portugal (2010–2012)
πŸ”Έ Visiting Researcher – KTH Sweden (2008)
πŸ”Έ Assistant Professor – PUCRS, Brazil (2000–2009)
πŸ”Έ Engineer (Distribution Systems Planning) – Rio Grande Energia, Brazil (1999–2003)

Professional Development πŸš€πŸ“‘

Mauro Augusto da Rosa has played a pivotal role in advancing electrical engineering, power systems, and energy distribution. As a professor and researcher at UFSC, he educates the next generation of engineers while leading cutting-edge research projects. His tenure at INESC P&D Brazil includes spearheading technological advancements in energy storage, grid reliability, and AI applications for power systems. His expertise in renewable energy integration and intelligent power systems has led to impactful projects such as NAATEC (energy storage) and FASTEN Vita (pandemic response technology). His commitment to innovation, sustainability, and AI-driven solutions continues to shape the future of energy systems.

Research Focus πŸ”¬βš‘

Mauro’s research centers on power system reliability, renewable energy integration, and AI-driven solutions for energy distribution and automation. His work leverages intelligent agents and evolutionary computing to enhance power system resilience and predictive analytics. He actively explores new energy storage technologies, such as vanadium and iron-sulfur flow batteries, to mitigate renewable energy intermittency. Additionally, he has led projects that use distributed manufacturing technologies for energy and healthcare applications. His expertise in automation, AI, and control systems contributes to the development of smarter, more sustainable power grids that improve efficiency and energy security.

Awards & Honors πŸ†πŸŽ–οΈ

πŸ… Ph.D. Fellowship – University of Porto & KTH Sweden
πŸ… Recognition for Research Contributions – INESC TEC, Portugal
πŸ… Executive Leadership Award – INESC P&D Brazil
πŸ… Best Paper Awards – Various international power system conferences
πŸ… Research Grant Award – Brazilian National Research Council (CNPq)

Publication Top Notes:

  • πŸ“Œ Improving power system reliability calculation efficiency with EPSO variants – V Miranda, L de Magalhaes Carvalho, MA Da Rosa, AML Da Silva, Β πŸ”— Cited by: 113
  • πŸ“Œ Probabilistic evaluation of reserve requirements of generating systems with renewable power sources: The Portuguese and Spanish cases – M Matos, JP Lopes, M Rosa, R Ferreira, AL da Silva, W Sales, L Resende, πŸ”— Cited by: 105
  • πŸ“Œ Distributed energy resources impact on distribution system reliability under load transfer restrictions – AML da Silva, LC Nascimento, MA da Rosa, D Issicaba, JAP Lopes πŸ”— Cited by: 83
  • πŸ“Œ Multi-objective evolutionary particle swarm optimization in the assessment of the impact of distributed generation – RS Maciel, M Rosa, V Miranda, A Padilha-Feltrin πŸ”— Cited by: 78
  • πŸ“Œ Adequacy and security evaluation of distribution systems with distributed generation – D Issicaba, JAP Lopes, MA da Rosa πŸ”— Cited by: 59

 

Mr. Hossein Gholizadeh | High step-up DC-DC Converter | Best Researcher Award

Mr. Hossein Gholizadeh | High step-up DC-DC Converter | Best Researcher Award

Mr. Hossein Gholizadeh | University of Tehran | Iran

Hossein Gholizadeh, born on October 3, 1996, in Tabriz, Iran, is an accomplished researcher in power electronics and electrical machines. With a Bachelor’s and Master’s degree from Shahid Beheshti University, his expertise lies in non-isolated high step-up DC-DC converter topologies. As a research leader at Shahid Beheshti University’s Power Electronics Lab, he has collaborated with institutions like Qatar University, Deakin University, and Queensland University. A passionate educator, he mentors students in DC-DC converter design while contributing to numerous high-impact journal publications. His work advances renewable energy applications and high-efficiency power conversion technologies. ⚑

Professional Profile:

Google Scholar

Suitability for Best Researcher Award

Hossein Gholizadeh is an excellent candidate for the Best Researcher Award due to his significant contributions to power electronics, electrical machines, and high-efficiency energy conversion. His research in non-isolated high step-up DC-DC converter topologies plays a crucial role in improving renewable energy applications and power conversion systems.

Education & Experience πŸŽ“πŸ’Ό

  • Bachelor of Electrical Engineering – Shahid Beheshti University (2015-2019) 🏫
  • Master of Electrical Engineering – Shahid Beheshti University (2019-2022) πŸ†
  • Teaching Assistant – Shahid Beheshti University (2016-2023) πŸ‘¨β€πŸ«
  • Research Assistant – Shahid Beheshti University (2019-2022) πŸ”
  • Researcher – Sharif University (2023) ⚑
  • Researcher – University of Tehran (2023-Present) πŸ›οΈ
  • Remote Researcher – Deakin University (2020-Present) 🌍
  • Remote Researcher – Qatar University (2022-Present) πŸ”¬
  • Self-Employed Educator – Teaching university courses (2012-Present) πŸ“–

Professional Development πŸ“ˆπŸš€

Hossein Gholizadeh has been deeply involved in academic research and professional training in power electronics. He specializes in high step-up DC-DC converters and has contributed significantly to this field through extensive research, publications, and prototype development. As a dedicated mentor, he has trained students in electrical machine design, circuit analysis, and advanced power electronics. His global collaborations with prestigious institutions have enhanced his expertise in developing innovative energy conversion technologies. His work focuses on improving efficiency and reliability in renewable energy applications, driving advancements in power systems worldwide. πŸ”‹πŸ’‘

Research Focus πŸ”¬βš‘

Hossein Gholizadeh’s research primarily revolves around power electronics, specifically non-isolated high step-up DC-DC converter topologies. His contributions aim to enhance power efficiency and voltage conversion in renewable energy applications, such as solar photovoltaics and electric vehicles. His work integrates advanced circuit design, mathematical modeling, and experimental validation to develop high-gain, transformerless, and efficient power conversion systems. He actively collaborates with international researchers to push the boundaries of power electronics, ensuring sustainable and energy-efficient electrical infrastructures. His research significantly impacts modern energy systems, industrial electronics, and smart grids. βš™οΈπŸ”Œ

Awards & Honors πŸ†πŸŽ–οΈ

  • Top Ranked Student at Shahid Beheshti University, earning direct admission to a Master’s program πŸŽ“
  • Published extensively in high-impact Q1 and Q2 journals πŸ“„
  • Lead Researcher in multiple national and international projects πŸ”¬
  • Mentored students in advanced power electronics and machine design πŸ‘¨β€πŸ«
  • Collaborated with top universities like Qatar University & Deakin University 🌍

Publication Top Notes:

⚑ An Ultra High Step-Up DC–DC Converter Based on Boost, Luo, and Voltage DoublerΒ  πŸ”— Cited by: 52
🌱 A Transformerless Quadratic Buck-Boost Converter for Renewable ApplicationsΒ  πŸ”— Cited by: 47
πŸ”„ A Quadratic Buck-Boost Converter with Continuous Input and Output CurrentsΒ  πŸ”— Cited by: 37
πŸ”Œ A Transformerless Quadratic Buck-Boost Converter with Wide Output Voltage Range & Low Switch Stresses πŸ”— Cited by: 33
πŸ”— A Power Converter Combining Cuk & Positive Output Super Lift Luo ConvertersΒ  πŸ”— Cited by: 32
πŸ”‹ A Non-Isolated High Gain DC-DC Converter with Positive Output Voltage & Reduced Current StressesΒ πŸ”— Cited by: 32

 

 

 

Teshome Lindi Kumissa | power systems | Best Researcher Award

Teshome Lindi Kumissa | power systems | Best Researcher Award

Dr. Teshome Lindi Kumissa, Hawassa University Institute Of Technology Faculty of Electrical Engineering , Ethiopia.

Publication profile

Orcid

EducationΒ πŸŽ“

  • Ph.D. Candidate: Power System Planning & Management, Addis Ababa University (Defense Remaining)
  • M.Sc.: Electrical Engineering (Power Engineering), Adama Science & Technology University (2008–2010)
  • B.Sc.: Electrical-Electronics Technology, Adama Science & Technology University (1998–2002)
  • Advanced Diploma: Electrical Engineering, Bahirdar Polytechnic Institute (1991–1994)

ExperienceΒ πŸ§‘β€πŸ«

  • Senior Lecturer: Electrical & Computer Engineering, Hawassa University (1995–2012)
  • Dean/Vice Dean: SERE Bonga TVET College, Ethiopia (1995–2012)

Suitability For The Award

Dr. Teshome Lindi Kumissa, a Ph.D. candidate and Senior Lecturer in the Department of Electrical and Computer Engineering at Hawassa University, has made significant contributions to the field of power systems engineering. With an impressive academic and professional background spanning over two decades, he has a proven track record in research, teaching, and leadership, making him a commendable nominee for the Best Researcher Award.

Professional DevelopmentΒ 

Dr. Teshome Lindi Kumissa has demonstrated exceptional expertise in power systems, renewable energy, and electrical engineering innovationΒ πŸ’‘. His professional development includes advanced training in transient stability analysis, power electronics, and renewable energy systems 🌱. He has contributed to groundbreaking research on voltage stability and dynamic security tools, leveraging SCADA systems for enhanced grid reliability. Dr. Kumissa’s dedication extends to mentoring students and designing sustainable energy solutions for communities, such as solar PV systems for rural EthiopiaΒ β˜€οΈ. A thought leader in his field, he actively participates in research reviews and collaborates on impactful projects addressing global energy challenges. 🌍⚑

Research FocusΒ 

Awards and Honors

  • πŸŽ“Β Ph.D. Candidacy Achievement: Recognized for significant contributions to power system stability analysis tools.
  • πŸ“œΒ Publications: Multiple peer-reviewed articles in high-impact journals (e.g.,Β Energies,Β Electricity).
  • 🌱 Rural Energy Solutions: Recognized for impactful solar PV design projects in Ethiopia.
  • πŸ› Β Engineering Innovation: Contributions to power system tools and renewable energy integration.

Publoication Top Notes

  • Transient Stability-Based Fast Power System Contingency Screening and RankingΒ πŸ“°,Β ElectricityΒ (2024) | DOI: 10.3390/electricity5040048 | Cited by: 0
  • Adaptive Order and Step-Size Differential Transformation Method-Based Power System Transient Stability Simulation ⚑,Β Australian Journal of Electrical and Electronics EngineeringΒ (2024) | DOI: 10.1080/1448837x.2024.2359210 | Cited by: 0
  • Fast Power System Transient Stability Simulation 🌐,Β EnergiesΒ (2023) | DOI: 10.3390/en16207157 | Cited by: 0

 

Dr. Elaheh Yaghoubi | Smart Grid | Best Researcher Award

Dr. Elaheh Yaghoubi | Smart Grid | Best Researcher Award

Dr. Elaheh Yaghoubi, Karabuk University, Turkey

Dr. Elaheh Yaghoubi is a skilled researcher in power system analysis and smart grids, currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, where she focuses on optimal power control for grid-connected distributed generation using Model Predictive Control (MPC). She holds a Master’s degree in Electrical Engineering from Islamic Azad University, Iran, specializing in error detection for grid systems. As a Principal Researcher at PEDAR, she integrates AI techniques like machine learning and deep learning into power management solutions and has held senior roles in companies such as Rico Electronics and Kati Kabl Tabarestan Factory.

Professional Profile

Google Scholar

Suitability for the Best Researcher Award:

Dr. Elaheh Yaghoubi is an excellent candidate for the Best Researcher Award. Her ongoing research in optimal power control for distributed generation, coupled with her expertise in MPC and AI integration, positions her as a forward-thinking researcher addressing critical issues in the energy sector. Her work is both theoretically robust and practically applicable, which is essential for the future development of sustainable and intelligent power systems.

Education & Expertise:

Dr. Elaheh Yaghoubi is currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, where her research focuses on optimal power control of grid-connected distributed generation using Model Predictive Control (MPC). She also holds a Master’s degree in Electrical Engineering from Islamic Azad University, Iran, specializing in error detection for grid systems.

Research Interests:

Her areas of interest include power system analysis, smart grids, renewable energy, distributed generation, and the application of AI techniques like machine learning and deep learning in power management.

Work Experience:

Dr. Yaghoubi is a Principal Researcher at the Power Electrical Developing Advanced Research (PEDAR) Group and has held senior management positions at Rico Electronics and Kati Kabl Tabarestan Factory. Additionally, she worked as a website designer at WebCore Company.

Her work integrates advanced power control strategies with AI-driven solutions for future energy systems.

Publication Top Notes:

  • “The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems”
    • Citations: 16
    • Published: 2023
  • “Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide”
    • Citations: 12
    • Published: 2021
  • “Reducing the vulnerability in microgrid power systems”
    • Citations: 11
    • Published: 2023
  • “Electric vehicles in China, Europe, and the United States: Current trend and market comparison”
    • Citations: 10
    • Published: 2024
  • “Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguide”
    • Citations: 10
    • Published: 2022