Aimon Mirza Baig | Power Grid Stability | Best Researcher Award

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Aimon Mirza Baig | Power Grid Stability | Best Researcher Award

Mrs. Aimon Mirza Baig, Imperial College London, United Kingdom.

Aimon Mirza Baig is a PhD candidate at Imperial College London, specializing in Electrical and Electronics Engineering. His research focuses on real-time modeling of flexible assets for power grid stability in renewable energy-dominated systems. Aimon has contributed to innovative solutions for enhancing power grid security, co-optimizing ancillary services, and integrating zero-carbon sources like flexible nuclear power plants. He has presented his work at multiple international conferences and published in top journals. Aimon is passionate about teaching and mentoring future engineers, having held teaching roles at Imperial College London and in Saudi Arabia. 🌍⚡🔬

Publication Profile 

Scopus
Orcid

Education And Experiance

  • PhD in Electrical and Electronics Engineering, Imperial College London (2019-present)
    • Research: Real-time modeling for power grid stability with renewable energy sources ⚡
  • MSc in Advanced Electrical Engineering, Queen Mary University (2018-2019)
    • Dissertation: Optimizing lithium-ion battery state of charge 📊🔋
  • BEng in Electrical Engineering, University of Greenwich (2015-2018)
    • First-class honors 🎓
  • Graduate Teaching Assistant at Imperial College London (2020-present)
    • Taught optimization models and supervised PhD students 🧑‍🏫
  • Teaching Experience at Universal Enrichment Program, Riyadh, Saudi Arabia (2024)
    • Delivered STEM lectures and workshops for high school students 🌍🎓

Suitability For the Award

Mrs. Aimon Mirza Baig is an exceptional researcher specializing in power grid stability and renewable energy integration. His groundbreaking work, including the development of stochastic unit commitment models and co-optimization of ancillary services from zero-carbon sources, has significantly advanced the field. With a PhD from Imperial College London and multiple high-impact publications, Baig’s innovative contributions to energy systems, particularly in the context of flexible nuclear power and renewable integration, make him a highly deserving candidate for the Best Researcher Award. His expertise and research have the potential to shape the future of sustainable energy systems.

Professional Development

Aimon has continuously developed his skills in both research and teaching. At Imperial College London, he developed expertise in computational optimization models, using Python and C++ for real-time data simulations and system modeling. He also gained valuable teaching experience by assisting students in courses like “Control Systems Lab” and “Mathematics.” His ability to convey complex concepts to undergraduate students has honed his communication and mentoring skills. Aimon’s experience with international conferences and research publications further enriched his professional growth, allowing him to stay at the forefront of advancements in electrical engineering and renewable energy integration. 📚🌐💡

Research Focus

Aimon’s research is focused on power grid stability and renewable energy integration. He specializes in stochastic unit commitment models, optimizing ancillary services like inertia and frequency response from zero-carbon sources, including flexible nuclear power plants. His work aims to enhance system stability in grids with high penetration of renewable energy sources (RES). Aimon’s contributions to bi-level optimization and market design for virtual power plants help address the challenges of balancing energy production with grid security. His innovative models support the decarbonization goals of the UK and other nations. 🌱⚡🔧

Awards And Honors

  • PhD Scholarship at Imperial College London, funded by the IDLES Project (EDF Energy) 🎓💰
  • Awarded Distinction for MSc in Advanced Electrical Engineering, Queen Mary University 🏅
  • First-Class Honors for BEng in Electrical Engineering, University of Greenwich 🎖️
  • Conference Presentations at 6 international conferences in the UK and Europe 🎤🌍
  • Publications in High-Impact Journals: IEEE, Applied Energy, and International Journal of Electrical Power and Energy Systems 📑

Publication Top Notes 

  • Importance of Linking Inertia and Frequency Response Procurement: The Great Britain Case (2021) – Cited by 3 📚🔋
  • Market Design for Ancillary Service Provisions of Inertia and Frequency Response via Virtual Power Plants: A Non-Convex Bi-Level Optimisation Approach (2024) – Cited by 4 ⚡🔌
  • Co-optimising Frequency-Containment Services from Zero-Carbon Sources in Electricity Grids Dominated by Renewable Energy Sources (2025)  🌱🔋

Angelo M. Tusset | Dynamics | Best Researcher Award

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Assoc. Prof. Dr. Angelo M. Tusset | Dynamics | Best Researcher Award

Assoc. Prof. Dr. Angelo M. Tusset, Federal University of Technology – Paraná, Brazil

Prof. Angelo Marcelo Tusset, born on April 14, 1969, in União da Vitória, Brazil, is an esteemed academic and researcher with a strong background in mathematics, engineering, and applied sciences. He holds a B.Sc. in Sciences, Mathematics, and Automation Engineering, along with a Master’s degree in Mathematical Modeling and a Ph.D. in Mechanical Engineering. He is currently an Associate Professor at the Federal University of Technology – Paraná (UTFPR), where he contributes to teaching, research, and academic administration. Throughout his career, he has published over 450 articles and made significant contributions to academic journals as an editor and reviewer. He has mentored numerous Ph.D. and Master’s students, making an impact in various fields of engineering, control systems, and mathematical modeling. Prof. Tusset’s diverse expertise and leadership within academia have made him a pivotal figure in Brazil’s higher education landscape. 📚👨‍🏫🔬

Professional Profile:

Google Scholar

Orcid

Scopus

Summary of Suitability for the “Best Researcher Awards”

Prof. Angelo Marcelo Tusset is a highly suitable candidate for the “Best Researcher Awards,” given his extensive contributions to mathematical modeling, optimal control systems, and applied engineering. His prolific academic output, leadership in research, and impactful mentorship align perfectly with the criteria for recognizing outstanding researchers.

Education 

Prof. Angelo Marcelo Tusset’s educational journey is marked by his diverse academic background in sciences, mathematics, and engineering. He earned his Bachelor’s degrees in Sciences (1995), Mathematics (1996), and Engineering of Automation and Control (2007) from the State Faculty of Philosophy Science and Letters (FAFI) and the University of Contestado (UNC) in Brazil. In 2004, he completed a Master’s degree in Mathematical Modeling at the Northwestern Regional University of the State of Rio Grande do Sul (UNIJUÍ). Prof. Tusset further advanced his studies by obtaining a Ph.D. in Mechanical Engineering from the Federal University of Rio Grande do Sul (UFRGS) in 2008, specializing in optimal control applied to nonlinear vehicle suspension models. His educational path reflects a strong foundation in mathematics and engineering, which has fueled his research and teaching career. 🎓📊🔧

Experience

Prof. Angelo Marcelo Tusset has built an impressive academic career with extensive teaching and research experience. Starting as an Assistant Professor at the University of Contestado (UNC) from 1998 to 2010, he was responsible for teaching a wide range of engineering subjects, including calculus, linear algebra, and statistics. Since 2010, he has been an Associate Professor at the Federal University of Technology – Paraná (UTFPR), where he has contributed to the development of various graduate programs and research projects. He has served as a coordinator for the Graduate Programs in Electrical Engineering (2017-2020) and Production Engineering (2022-present) at UTFPR. He has also guided and mentored numerous Master’s and Ph.D. students, contributing significantly to the academic community. Additionally, he has held important editorial roles, including Associate Editor for prominent journals. 📅🖋️👨‍💻

Awards and Honors 

Prof. Angelo Marcelo Tusset’s career has been recognized with multiple awards and honors for his exceptional contributions to academia and research. His prolific publishing record, with over 450 articles, has earned him respect in the scientific community. He has been acknowledged for his leadership roles as an academic advisor, guiding numerous successful Ph.D. and Master’s candidates. Prof. Tusset’s editorial work, including his involvement with prestigious journals such as the Journal of Mathematics in Engineering, Science, and Aerospace and International Journal of Nonlinear Dynamics and Control, highlights his standing in the field. Furthermore, his recognition extends to his work on the executive committees of the Brazilian Association of Engineering and Sciences Mechanics (ABCM). His expertise in mathematical modeling and control systems has also earned him recognition from funding agencies, including the Araucária Foundation. 🏅🏆📜

Research Focus 

Prof. Angelo Marcelo Tusset’s research is centered around mathematical modeling, optimal control, and their applications in engineering, particularly in nonlinear systems. His Ph.D. focused on the application of optimal control theory to nonlinear vehicle suspension systems, a field where he has contributed to developing advanced models for improving vehicle dynamics. He has continued to explore nonlinear dynamics, chaos theory, and control systems throughout his career, with applications ranging from automation and robotics to industrial processes. Prof. Tusset’s work also delves into clean technologies for industrial energy management, blending environmental concerns with engineering solutions. He has published extensively in these areas, demonstrating his expertise in both theoretical and applied aspects of engineering. His research serves as a bridge between mathematical theory and practical applications, influencing a wide range of industries. 🔬🧠⚙️

Publication Top Notes:

1. Title: Statements on chaos control designs, including a fractional order dynamical system, applied to a “MEMS” comb-drive actuator
Year: 2012
Citations: 111
2. Title: A novel strategy for road lane detection and tracking based on a vehicle’s forward monocular camera
Year: 2018
Citations: 101
3. Title: An intelligent controller design for magnetorheological damper based on a quarter-car model
Year: 2009
Citations: 98
4. Title: On elimination of chaotic behavior in a non-ideal portal frame structural system, using both passive and active controls
Year: 2013
Citations: 76
5. Title: Chaos control and sensitivity analysis of a double pendulum arm excited by an RLC circuit based nonlinear shaker
Year: 2016
Citations: 75

 

 

 

Teshome Lindi Kumissa | power systems | Best Researcher Award

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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

Education 🎓

  • 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)

Experience 🧑‍🏫

  • 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 Development 

Dr. Teshome Lindi Kumissa has demonstrated exceptional expertise in power systems, renewable energy, and electrical engineering innovation 💡. 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 Ethiopia ☀️. A thought leader in his field, he actively participates in research reviews and collaborates on impactful projects addressing global energy challenges. 🌍⚡

Research Focus 

Awards and Honors

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

Publoication Top Notes

  • Transient Stability-Based Fast Power System Contingency Screening and Ranking 📰, Electricity (2024) | DOI: 10.3390/electricity5040048 | Cited by: 0
  • Adaptive Order and Step-Size Differential Transformation Method-Based Power System Transient Stability Simulation ⚡, Australian Journal of Electrical and Electronics Engineering (2024) | DOI: 10.1080/1448837x.2024.2359210 | Cited by: 0
  • Fast Power System Transient Stability Simulation 🌐, Energies (2023) | DOI: 10.3390/en16207157 | Cited by: 0

 

Dr. Elaheh Yaghoubi | Power System Awards | Best Researcher Award

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Dr. Elaheh Yaghoubi | Power System Awards | Best Researcher Award

Dr. Elaheh Yaghoubi, Karabuk University, Turkey

Elaheh Yaghoubi is a Ph.D. candidate in Electronic and Electrical Engineering at Karabuk University, Turkey, with a perfect GPA of 4.0. Her research focuses on power system analysis, microgrids, power control in smart grids, model predictive control (MPC), and renewable energy. Elaheh earned her M.Sc. in Electrical Engineering from Islamic Azad University, Iran, and has a strong background in quality control, having worked as a senior manager in electronics companies and as a representative for the Iran Standard Organization. She is proficient in various programming languages and software tools and is actively involved in the PEDAR research group. Her notable research includes optimizing power control for grid-connected distributed generation and enhancing security in smart power microgrids.

Professional Profile:

Google Scholar

Evaluation for Elaheh Yaghoubi’s Suitability for the Best Researcher Award

Elaheh Yaghoubi’s exceptional research in power systems, smart grids, and renewable energy, combined with her perfect academic record and practical experience, position her as an excellent candidate for the Best Researcher Award. Her contributions to optimizing power control and enhancing smart grid security, along with her commitment to academic and research excellence, make her a deserving recipient of this prestigious recognition.

🎓Education:

Elaheh Yaghoubi is currently pursuing a Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, where she maintains a perfect GPA of 4.0. Her research focuses on optimal power control of grid-connected distributed generation within a hierarchical framework based on Model Predictive Control (MPC). She earned her M.Sc. in Electrical Engineering from Islamic Azad University, Qaemshahr, Iran, also with a perfect GPA of 4.0, where her thesis involved developing a routing algorithm for a large-scale chip grid. She completed her B.Sc. in Electrical Engineering at Aryan Institute of Science and Technology University, Iran, graduating with a GPA of 4.0, and holds an Associate’s Degree in Electrical Engineering from the University College of Rouzbahan, Iran, with a GPA of 3.5.

🏢Work Experience:

Elaheh Yaghoubi is currently a Principal Researcher at the Power Electrical Developing Advanced Research (PEDAR) Group, a position she has held since 2023. Prior to this, she worked as a Website Designer at WebCore Company from 2019 to 2021. She also has experience as a Senior Manager at Rico Electronics Company (2018-2019) and at Kati Kabl Tabarestan Factory (2015-2018).

🏅Awards and Honors:

Elaheh Yaghoubi has been recognized with the Best Researcher Award, highlighting her significant contributions and achievements in her field of study.

Publication Top Notes:

  • The Role of Mechanical Energy Storage Systems Based on Artificial Intelligence Techniques in Future Sustainable Energy Systems
    • Citations: 14
  • Triple-Channel Glasses-Shape Nanoplasmonic Demultiplexer Based on Multi Nanodisk Resonators in MIM Waveguide
    • Citations: 12
  • Electric Vehicles in China, Europe, and the United States: Current Trend and Market Comparison
    • Citations: 10
  • Tunable Band-Pass Plasmonic Filter and Wavelength Triple-Channel Demultiplexer Based on Square Nanodisk Resonator in MIM Waveguide
    • Citations: 10
  • Reducing the Vulnerability in Microgrid Power Systems
    • Citations: 9

 

 

 

 

 

Assist Prof Dr. Mahmoud Samiei Moghaddam | Energy Systems Award | Network Protocols Excellence Award

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Assist Prof Dr. Mahmoud Samiei Moghaddam | Energy Systems Award | Network Protocols Excellence Award

Assist Prof Dr. Mahmoud Samiei Moghaddam, Islamic Azad University, Iran

🎓 Dr. Mahmoud Samiei Moghaddam, Ph.D. in Electrical Engineering from Khaje Nasir Toosi University of Technology, is an adept educator skilled in teaching electrical engineering courses and overseeing student projects. With expertise in designing and implementing telecommunication, CCTV, and paging systems, as well as establishing electrical laboratories, he brings a wealth of practical knowledge. In his extensive career, he has held key managerial positions at Aerospace Industries Organization and Islamic Azad University, showcasing strong leadership abilities. Dr. Moghaddam’s research pursuits, spanning space vector modulation, hybrid power systems control, voltage regulator optimization, and wireless charging for electric vehicles, have significantly contributed to the field, evident through his published papers and active involvement in conferences. 🔬

🌐 Professional Profile:

Scopus

🎓 Qualifications and Education:

Dr. Mahmoud Samiei Moghaddam holds a Ph.D. in Electrical Engineering from Khaje Nasir Toosi University of Technology. He possesses expertise in teaching electrical engineering courses, guiding student projects at various academic levels, and designing, installing, and commissioning telecommunication systems, CCTV systems, and paging systems. Additionally, he is proficient in designing and setting up electrical laboratories.

💼 Work Experience:

With a rich executive background, Dr. Moghaddam has served as the Manager of the Telecommunication Systems Group at the Aerospace Industries Organization and as the Manager of the Electrical and Electrotechnical Group at Damghan Branch of Islamic Azad University. He has also held roles as the Head of the Electrical and Computer Group and the Senior Electrical Group at the university, showcasing his leadership and managerial skills.

🔬 Research and Academic Achievements:

Dr. Moghaddam’s research contributions include numerous published papers in esteemed conferences and journals, covering topics such as space vector modulation, control of hybrid power systems, optimization of voltage regulators, and wireless charging systems for electric vehicles. He has also actively participated in conferences, presented papers, and undertaken research projects, demonstrating his commitment to advancing the field of electrical engineering.

Scopus Metrics:

  • 📝 Publications: 46 documents indexed in Scopus.
  • 📊 Citations: A total of 23 citations for his publications, reflecting the widespread impact and recognition of Dr. Moghaddam’s research within the academic community.

Publications Top Notes :

  1. Stochastic security-constrained transmission and energy storage expansion planning considering high penetration of renewable energy in integrated gas-electricity networks
    • Published in Energy Storage in 2024
  2. Bi-level Stochastic Optimization Model for Coordination of Transmission and Distribution Networks Considering Generic Resources
    • Published in the Journal of Electrical Engineering and Technology in 2024
  3. Multi-area distribution grids optimization using D-FACTS devices by M-PSO algorithm
    • Published in Energy Reports in 2023
  4. Stochastic Security-constrained Unit Commitment Considering Electric Vehicles, Energy Storage Systems, and Flexible Loads with Renewable Energy Resources
    • Published in the Journal of Modern Power Systems and Clean Energy in 2023
  5. Stochastic Dynamic Reconfiguration in Smart Distribution System Considering Demand-Side Management, Energy Storage System, Renewable and Fossil Resources and Electric Vehicle
    • Published in the Journal of Electrical Engineering and Technology in 2023