Dr. Nisha Dagade | Renewable Energy | Best Researcher Award

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Dr. Nisha Dagade | Renewable Energy | Best Researcher Award

Dr. Nisha Dagade | Sinhgad Institutes | India

Dr. Nisha R. Dagade  is an accomplished Assistant Professor at Sinhgad Institutes, Pune, India, specializing in electrical power systems with a particular focus on Distributed Generation  and Reliability Analysis. Her research emphasizes the optimal integration of renewable DG sources into modern distribution networks, addressing both technical and economic challenges through heuristic and metaheuristic optimization approaches such as Ant Colony Optimization (ACO). Dr. Dagade’s scholarly contributions explore multi-objective frameworks that aim to reduce power losses, improve voltage profiles, and enhance the overall reliability and cost-effectiveness of distribution systems. Her notable work, “Ant colony optimization technique for integrating renewable DG in distribution system with techno-economic objectives,” published in Evolving Systems (2022), has gained significant academic recognition. With a strong research portfolio comprising 10 completed and ongoing projects, 7 Scopus-indexed journal publications, and one published book, and maintains an active research profile with 61 citations, an h-index of 5, and an i10-index of 2 , she continues to advance innovation in the domain of sustainable power systems. She has also collaborated with IIT Bombay on research initiatives that bridge academic insights with real-world applications. Her professional memberships in IAENG and I2OR reflect her active engagement in the global engineering research community. Dr. Dagade’s work embodies the integration of renewable energy technologies for efficient, reliable, and environmentally responsible power system development.

Profile: Google Scholar

Featured Publications

  • Godha, N. R., Bapat, V. N., & Korachagaon, I. (2022). Ant colony optimization technique for integrating renewable DG in distribution system with techno-economic objectives. Evolving Systems, 13(3), 485–498.

  • Godha, N. R., Deshmukh, S. R., & Dagade, R. V. (2011). Application of Monte Carlo simulation for reliability cost/worth analysis of distribution system. In 2011 International Conference on Power and Energy Systems (pp. 1–6).

  • Godha, N. R., Deshmukh, S. R., & Dagade, R. V. (2012). Time sequential Monte Carlo simulation for evaluation of reliability indices of power distribution system. In Proceedings of the 2012 IEEE Symposium on Computers and Informatics (ISCI 2012).

  • Godha, N. R., Bapat, V. N., & Korachagaon, I. (2019). Placement of distributed generation in distribution networks: A survey on different heuristic methods. In Techno-Societal 2018: Proceedings of the 2nd International Conference on Techno-Societal.

  • Dagade, N. R. G., Bapat, V. N., & Korachagaon, I. (2020). Improved ACO for planning and performance analysis of multiple distributed generations in distribution system for various load models. In 2020 Second International Sustainability and Resilience Conference.

 

 

Assist. Prof. Dr. Mostafa Wageh lotfy Mohamed | Renewable Energy | Best Researcher Award

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Assist. Prof. Dr. Mostafa Wageh lotfy Mohamed | Renewable Energy | Best Researcher Award

Assist. Prof. Dr. Mostafa Wageh lotfy Mohamed | Beni-Suef University | Egypt

Dr. Mostafa Wageh Lotfy Mohamed is an Assistant Professor in the Department of Process Control Technology at the Faculty of Technology and Education, Beni-Suef University, Egypt. He earned his PhD in Electrical Power and Machines from Beni-Suef University, where his doctoral research focused on the control of Split-Source Inverters for renewable energy applications. His academic foundation also includes an M.Sc. degree on the performance analysis of high-gain DC-DC converters for distributed generation systems, and a B.Sc. in Automatic Control with an excellent grade. Dr. Mohamed has extensive expertise in power electronics, control systems, and renewable energy technologies, particularly in DC/DC and DC/AC converters, transformer-less Split-Source Inverters, and intelligent control strategies for energy systems. He has successfully led multiple funded research projects, including the design and implementation of three-phase Split-Source Inverters for renewable energy applications and an innovative 3D-printed small wind turbine for low-speed regions. His scholarly impact is reflected in 75 citations , an h-index of 5, and an i10-index of 4. Through his research and innovation, Dr. Mohamed continues to contribute to advancing renewable energy integration, sustainable system design, and technological progress in Egypt and globally.

Profile: Google Scholar

Featured Publications

  1. Lotfy, M. W., Dabour, S. M., Mostafa, R. M., Almakhles, D. J., & Elmorshedy, M. F. (2023). Modeling and control of a voltage-lift cell split-source inverter with MPPT for photovoltaic systems. IEEE Access.

  2. Shehata, E. G., Thomas, J., Brisha, A. M., & Wageh, M. (2017). Design and analysis of a quasi Y-source impedance network DC–DC converter. Proceedings of the 2017 Nineteenth International Middle East Power Systems Conference (MEPCON), 1-6. IEEE.

  3. Wageh, M., Dabour, S. M., & Mostafa, R. M. (2021). A high gain split-source inverter with reduced input current ripple. Proceedings of the 2021 22nd International Middle East Power Systems Conference (MEPCON), 383-388. IEEE.

  4. Wageh, M., Dabour, S. M., Mostafa, R. M., & Ghalib, M. A. (2021). Space vector PWM of three-phase inverter with MPPT for photovoltaic system. Australian Journal of Electrical and Electronics Engineering, 18(4), 310-318.

  5. Wageh, M., Dabour, S. M., & Mostafa, R. M. (2022). A new four-switch split-source boosting inverter: Analysis and modulation. Proceedings of the 2022 23rd International Middle East Power Systems Conference (MEPCON), 1-7. IEEE.

  6. Ali, M. M., Elmorshedy, M. F., Gabr, M. A., Ramadan, H. S., & Lotfy, M. W. (2023). An enhanced finite-set model predictive control based super twisting sliding mode speed controller for linear metro applications. Proceedings of the 2023 24th International Middle East Power System Conference (MEPCON), 1-6. IEEE.

 

 

Dr. Guangxing Guo | Renewable Energy | Best Academic Researcher Award

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Dr. Guangxing Guo | Renewable Energy | Best Academic Researcher Award

Dr. Guangxing Guo | Yangzhou University | China

Dr. Guangxing Guo is a dedicated researcher in the field of wind energy with strong academic training and impactful contributions. He is pursuing a Doctor of Engineering degree at Yangzhou University, focusing on the application of artificial intelligence in wind energy, and also gained international academic exposure as a guest student at Aalborg University, Denmark. He earned a Master of Engineering degree from the Institute of Engineering Thermophysics, Chinese Academy of Sciences, where his research centered on the structural performance of wind turbine blades, and a Bachelor of Engineering in New Energy Science and Engineering from Lanzhou University of Technology. His expertise covers aerodynamics, aeroelastic dynamics, structural dynamics, and computational fluid dynamics. To date, he has published 8 documents, including SCI-indexed works in Composite Structures, Sustainable Energy Technologies and Assessments, and Energies. His research has received 90 citations by 75 documents, with an h-index of 5, demonstrating growing academic recognition. He has also presented his work at international conferences, highlighting contributions to wind turbine blade design, wind farm noise reduction, and machine learning-based performance evaluation.

Profile: Scopus | Orcid

Featured Publications

Guo, G., Zhu, W., Sun, Z., Fu, S., Shen, W., & Hua, Y. (2025). Large wind turbine blade design with mould sharing concept based on deep neural networks. Sustainable Energy Technologies and Assessments, 73, 104131.

Guo, G., Zhu, W., Zhang, Z., Shen, W., & Chen, Z. (2025). Achieving power-noise balance in wind farms by fine-tuning the layout with reinforcement learning. Energies, 18(18), 5019.

Guo, G., Zhu, W., Sun, Z., Fu, S., Shen, W., & Cao, J. (2024). An aero-structure-acoustics evaluation framework of wind turbine blade cross-section based on gradient boosting regression tree. Composite Structures, 337, 118055.

Guo, G., Zhu, W., Sun, Z., Shen, W., Cao, J., & Fu, S. (2023). Drag reducer design of wind turbine blade under flap-wise fatigue testing. Composite Structures, 318, 117094.

Zhu, W., Liu, J., Sun, Z., Cao, J., Guo, G., & Shen, W. (2022). Numerical study on flow and noise characteristics of an NACA0018 airfoil with a porous trailing edge. Sustainability, 15(1), 275.

Li, S., Zhang, L., Xu, J., Yang, K., Song, J., & Guo, G. (2020). Experimental investigation of a pitch-oscillating wind turbine airfoil with vortex generators. Journal of Renewable and Sustainable Energy, 12(6), 063304.

Dr. Iman Soltani | Green Technologies | Best Researcher Award

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Dr. Iman Soltani | Green Technologies | Best Researcher Award

Dr. Iman Soltani | Imam Khomeini International University | Iran

Dr. Iman Soltani is a distinguished researcher in Electrical Engineering with expertise in renewable energy, power electronics, and electric vehicle technologies. He holds a doctorate in Power Engineering from Malek Ashtar University of Technology, preceded by a master’s degree from Imam Khomeini International University and a bachelor’s degree in Robotic Engineering from Shahrood University of Technology. His research encompasses energy management, storage systems, electrical machines, and advanced control algorithms. With a focus on battery charging systems and the optimization of power inductors, Dr. Soltani combines academic excellence with practical innovation, driving forward advancements in sustainable and efficient energy solutions.

Professional Profile

Google Scholar | Scopus

Education and Experience

Dr. Soltani earned his doctorate in Electrical Engineering with a focus on the analysis and optimization of variable power inductors in radio frequency applications. His master’s research explored intelligent methods for maximum power point tracking in solar arrays under diverse conditions. His bachelor’s work centered on designing and controlling multi-degree-of-freedom robotic systems. Throughout his academic journey, he has developed strong expertise in renewable energy, energy storage, control systems, and power electronics. His professional experience integrates theoretical research with hands-on engineering applications, enabling him to contribute innovative and impactful solutions to modern energy and automation challenges.

Summary Suitability

Dr. Iman Soltani stands out as an exceptional candidate for the Best Researcher Award in the field of Electrical Engineering, with specialized expertise in renewable energy systems, power electronics, and advanced control methodologies. His academic journey spans a doctorate in Power Engineering, a master’s degree in the same discipline, and a bachelor’s in Robotic Engineering, each marked by exceptional academic performance and impactful research.

Professional Development

Dr. Soltani has advanced his professional capabilities through extensive research, collaborative projects, and continuous engagement with emerging technologies. His expertise includes renewable energy integration, electric mobility solutions, and intelligent control systems. He has worked extensively on energy storage technologies, advanced battery charging methods, and energy management strategies. His professional growth is marked by interdisciplinary collaboration, knowledge exchange, and the application of innovative engineering principles to real-world problems. Dedicated to staying at the forefront of technological advancements, he continually enhances his skills, ensuring his contributions align with the evolving needs of sustainable power systems and advanced electrical engineering solutions.

Research Focus

Dr. Soltani’s research focus lies in the area of electrical power and renewable energy systems, closely linked with power electronics and advanced control. He investigates the integration of renewable sources into the power grid, efficient storage systems, and smart charging technologies for electric vehicles. His work includes developing algorithms for energy optimization, improving battery performance, and enhancing the efficiency of electrical machines and drives. Additionally, he explores the behavior and optimization of power inductors in high-frequency applications. His research bridges the gap between theory and application, contributing to the creation of sustainable, reliable, and efficient modern energy systems.

Awards and Honors

Dr. Soltani has been recognized for his exceptional academic performance and innovative research contributions. His work has earned commendations from academic institutions for its originality, technical depth, and practical value in the field of renewable energy and power engineering. He has consistently maintained a record of excellence throughout his educational and professional journey, demonstrating leadership in research and a commitment to advancing sustainable technologies. His achievements reflect both intellectual rigor and a dedication to developing solutions that address the pressing challenges in energy systems and electrical engineering.

Publication Top Notes

Title: An intelligent, fast and robust maximum power point tracking for proton exchange membrane fuel cell
Year: 2013
Citation: 30

Title: A detailed comparison between FOC and DTC methods of a permanent magnet synchronous motor drive
Year: 2015
Citation: 28

Title: Optimal placement of STATCOM to voltage stability improvement and reduce power losses by using QPSO algorithm
Year: 2013
Citation: 26

Title: Eagle strategy based maximum power point tracker for fuel cell system
Year: 2015
Citation: 19

Title: Various types of particle swarm optimization-based methods for harmonic reduction of cascade multilevel inverters for renewable energy sources
Year: 2013
Citation: 14

Title: A new sliding mode controller for DC/DC converters in photovoltaic systems
Year: 2013
Citation: 14

Title: Comparative of islanding detection passive methods for distributed generation application
Year: 2014
Citation: 11

Conclusion

With a proven record of high-impact publications, interdisciplinary innovation, and the ability to translate complex engineering concepts into practical solutions, Dr. Soltani exemplifies the qualities of a world-class researcher. His dedication to advancing clean energy technologies and his consistent scholarly excellence make him a highly deserving recipient of the Best Researcher Award.

Ms. Mohadeseh Naderi | Renewable Energy | Best Researcher Award

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Ms. Mohadeseh Naderi | Renewable Energy | Best Researcher Award

Ms. Mohadeseh Naderi, Dundalk Institute of technology, Ireland.

Ms. Mohadeseh Naderi is a dedicated researcher at Dundalk Institute of Technology with a strong focus on renewable energy and biomass conversion. She holds a Master’s degree in Chemical Engineering and is currently pursuing her PhD in the field of sustainable energy. Her academic research has been published in reputable journals including Biomass Conversion and Biorefinery and the International Journal of Thermofluids. She is an active member of Engineers Ireland and is known for her technical knowledge and research excellence. In recognition of her work, she was awarded the Best Paper Award at the SEEP 2024 Conference.

Professional Profile

Google Scholar
Orcid

Education and Experience

Ms. Mohadeseh Naderi completed her Master’s degree in Chemical Engineering and is currently engaged in doctoral research in the field of renewable energy. She is affiliated with Dundalk Institute of Technology as a researcher. Throughout her academic journey, she has contributed to several scholarly publications including articles in Biomass Conversion and Biorefinery and the International Journal of Thermofluids. Her experience includes extensive work in biomass conversion and thermofluid systems, combining theoretical knowledge with practical application in sustainable energy development.

Summary Suitability

Ms. Mohadeseh Naderi is a highly deserving candidate for the Best Researcher Award based on her sustained academic dedication, impactful research outputs, and contributions to the renewable energy sector. Currently a PhD researcher at Dundalk Institute of Technology, she holds an MSc in Chemical Engineering and specializes in biomass conversion and sustainable energy systems. Her work aligns with global environmental goals and demonstrates both scientific excellence and practical relevance.

Professional Development

Ms. Mohadeseh Naderi has shown consistent growth in her professional journey through academic advancement and active research. With a foundation in chemical engineering, she has expanded her expertise to include renewable energy systems and sustainable technology. She has authored peer-reviewed articles in high-impact journals and maintains active participation in professional organizations such as Engineers Ireland. Her work is not only academic but also aimed at real-world applications that contribute to environmental sustainability. Through ongoing research and collaborations, she continues to enhance her knowledge and impact in the energy and engineering sectors.

Research Focus 

Ms. Mohadeseh Naderi’s research is centered on advancing technologies in renewable energy, with a particular emphasis on biomass conversion. Her work explores innovative thermochemical and biochemical pathways for transforming organic waste into clean, sustainable energy sources. By integrating principles of chemical engineering and thermofluid dynamics, she develops efficient systems that optimize energy recovery while minimizing environmental impact. Her research contributes to addressing global energy challenges by promoting alternatives to fossil fuels and supporting the transition to low-carbon economies. With both scientific rigor and practical relevance, her studies offer scalable solutions for energy sustainability in academic, industrial, and environmental contexts.

Awards and Honors

Ms. Mohadeseh Naderi received the Best Paper Award at the Sustainable Energy and Environmental Protection (SEEP) Conference held in September 2024. She also obtained a Certificate of Merit from the event organizers in recognition of her presentation. Her citation index currently stands at one, reflecting her early but impactful contributions to academic research.

Publication Top Notes

  1. Naderi, M., & Vesali-Naseh, M. (2021). Hydrochar-derived fuels from waste walnut shell through hydrothermal carbonization: Characterization and effect of processing parameters. Biomass Conversion and Biorefinery, 11(5), 1443–1451.
    [Cited by: 40 | Published: October 12, 2019 | Indexed: SCI/Scopus]

  2. Naderi, M., Rashidi, H., Reynolds, A., & Doherty, W. (2024). Aspen Plus modelling of the MILENA dual fluidised bed biomass gasifier technology. SEEP Conference 2024, 7.
    [Presented: September 2024 | Awarded Best Paper]

  3. Naderi, M., & Vesali-Naseh, M. (2017). Production of Hydrochar from Biomass by Hydrothermal Carbonization. 4th International Conference on Applied Research in Chemistry, Science, and Biology, October 19, 2017.

Conclusion

Ms. Mohadeseh Naderi’s contributions in advancing renewable energy technologies, particularly through novel biomass utilization strategies, make her a strong candidate for the Best Researcher Award. Her work has already started influencing both academic and applied sectors, with promising potential for further impact.