Dr. Nisha Dagade | Renewable Energy | Best Researcher Award

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.

 

 

Prof. Dr. Jose Manuel Andujar Marquez | Renewable Energy | Hydrogen Energy Award

Prof. Dr. Jose Manuel Andujar Marquez | Renewable Energy | Hydrogen Energy Award

Prof. Dr. Jose Manuel Andujar Marquez | University of Huelva | Spain

Prof. Dr. Jose Manuel Andujar Marquez is a Full Professor at the University of Huelva in Spain with expertise in control engineering, renewable energies, hydrogen technologies, energy rehabilitation, engineering education, and precision farming. He holds a PhD in Engineering from the University of Huelva, a degree in Physical Sciences from UNED, and an Industrial Technical Engineering degree from the University of Seville. Over his career, he has authored more than five hundred fifty publications including journal articles, books, book chapters, conference papers, and patents, with over one hundred seventy articles indexed in ISI JCR journals and more than ninety in Q1 journals. Notably, fifty-four of his articles appear in the top ten journals in their category, several ranking first. His work has significant international impact, reflected in an h index of forty or more on Scopus, forty-six or more on ResearchGate, and fifty-two or more on Google Scholar, with over ten thousand citations in major databases and more than two hundred fifty thousand reads on ResearchGate. His research contributions span intelligent control systems, renewable energy integration, sustainable engineering technologies, and precision farming, demonstrating a strong commitment to innovation and advancing engineering solutions for global challenges. His publications have influenced both academic research and practical applications in energy efficiency, smart systems, and sustainable technology development.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

Andújar, J. M., & Segura, F. (2009). Fuel cells: History and updating. A walk along two centuries. Renewable and Sustainable Energy Reviews, 13(9), 2309-2322.

Andújar, J. M., Mejías, A., & Márquez, M. A. (2010). Augmented reality for the improvement of remote laboratories: An augmented remote laboratory. IEEE Transactions on Education, 54(3), 492-500.

Enrique, J. M., Durán, E., Sidrach-de-Cardona, M., & Andújar, J. M. (2007). Theoretical assessment of the maximum power point tracking efficiency of photovoltaic facilities with different converter topologies. Solar Energy, 81(1), 31-38.

Vivas, F. J., De las Heras, A., Segura, F., & Andújar, J. M. (2018). A review of energy management strategies for renewable hybrid energy systems with hydrogen backup. Renewable and Sustainable Energy Reviews, 82, 126-155.

Enrique, J. M., Andújar, J. M., & Bohorquez, M. A. (2010). A reliable, fast and low cost maximum power point tracker for photovoltaic applications. Solar Energy, 84(1), 79-89.

Sánchez Cordero, A., Gómez Melgar, S., & Andújar Márquez, J. M. (2019). Green building rating systems and the new framework Level(s): A critical review of sustainability certification within Europe. Energies, 13(66), 1-26.

Durán, E., Piliougine, M., Sidrach-de-Cardona, M., Galán, J., & Andújar, J. M. (2008). Different methods to obtain the I–V curve of PV modules: A review. In 2008 33rd IEEE Photovoltaic Specialists Conference (pp. 1-6).

Mr. Yohannes Shuka Jara | Renewable Energy | Best Researcher Award

Mr. Yohannes Shuka Jara | Renewable Energy | Best Researcher Award

Mr. Yohannes Shuka Jara | Borana University | Ethiopia

Mr. Yohannes Shuka Jara is a dedicated lecturer and researcher in the Department of Chemistry at Borana University, Ethiopia, with a strong academic and professional trajectory in physical chemistry and sustainable nanotechnology. Currently pursuing a PhD at the University of Messina, Italy, he holds an MSc in Physical Chemistry from Hawassa University and a BSc in Chemistry from Dilla University. His professional experience includes serving as Lecturer of Physical Chemistry at Borana University, Chief-in Laboratory Chemist, and Senior Lab Technical Assistant at Madda Walabu University, where he contributed significantly to research and laboratory management. His research primarily focuses on the green synthesis of nanoparticles and metal oxide semiconductors for sustainable applications, including green energy conversion, electrochemical and bio-nano sensors, catalysis design, and environmental remediation. Notable projects include biosynthesized N-Zn co-doped CuO nanoparticles for photocatalytic dye degradation, polyaniline-coated nanocomposites for enhanced microbial fuel cell efficiency, and activated carbon from Vernonia amygdalina for water purification. With 50 citations across 49 documents and an h-index of 2, Mr. Jara actively engages with the scientific community through platforms such as ORCID, ResearchGate, Scopus, and LinkedIn, demonstrating a strong commitment to advancing sustainable chemistry and nanotechnology solutions.

Profile: Scopus | Orcid

Featured Publications

Jara, Y. S., Mohammed, E. T., & Mekiso, T. T. (2025). Biosynthesized pure CuO, N-CuO, Zn-CuO, and N-Zn-CuO nanoparticles for photocatalytic activity: Enhanced optical properties through bandgap engineering. Next Materials.

Shuka, Y. (2025). Investigation of energy efficiency in a zeolite-water adsorption solar cooling system utilizing locally sourced materials for the conservation chamber. Physical Science International Journal.

Eyoel, T., Shuka, Y., Tadesse, S., Tesfaye, T., Mengesha, M., & Mert, S. O. (2025). Green energy: Power generation improvement in microbial fuel cells using bio-synthesized polyaniline-coated Co3O4 nanocomposite. International Journal of Energy Research.

Tesfaye, T., Shuka, Y., Tadesse, S., Eyoel, T., & Mengesha, M. (2025). Improving the power production efficiency of microbial fuel cell by using biosynthesized polyaniline-coated Fe3O4 as pencil graphite anode modifier. Scientific Reports.

Jara, Y. S., Mekiso, T. T., & Washe, A. P. (2024). Highly efficient catalytic degradation of organic dyes using iron nanoparticles synthesized with Vernonia amygdalina leaf extract. Scientific Reports.

Mengesha, M., Shuka, Y., Eyoel, T., & Tesfaye, T. (2024). Novel biomaterial-derived activated carbon from Lippia adoensis (Var. Koseret) leaf for efficient organic pollutant dye removal from water solution. American Journal of Applied Chemistry, 12(2), 11.

Jara, Y. S., & Gari, A. N. (2023). The impact of land use types on soil physicochemical properties and agricultural productivity: A case of Gojera Kebele, Dinsho District, South Eastern Ethiopia. Research Square.

Dr. Moustafa Magdi Ismail Mohamed | Renewable Energy | Transportation Research Award

Dr. Moustafa Magdi Ismail Mohamed | Renewable Energy | Transportation Research Award

 

Dr. Moustafa Magdi Ismail Mohamed , King Fahd University of Petroleum and Minerals , Saudi Arabia

Dr. Moustafa Magdi Ismail Mohamed 🎓 is an accomplished Assistant Professor of Electrical Engineering ⚡ at Minia University, Egypt, he brings a rich background in teaching, research, and academic leadership. Passionate about sustainable energy 🌱, smart grids 💡, and electric vehicles 🚗🔋, Dr. Moustafa has made significant strides in these fields. His contributions include guiding graduate projects, publishing scholarly articles 📚, and serving as a top reviewer for IEEE journals 🏅. Dedicated to innovation and education, he actively participates in curriculum design and lab supervision, all while promoting quality assurance in engineering education 🛠️👨‍🏫.

Publication Profile

Google Scholar

Education & Experience 

  • 🎓 Assistant Professor, Minia University, Egypt (Aug 2021 – Present)

    • Teaching & curriculum design for Electrical Engineering

    • Supervision of graduate projects, labs, and quality systems

  • 🎓 Assistant Professor, Higher Institute of Engineering and Technology – New Minya (Oct 2021 – Jan 2022)

    • Delivered technical courses across various levels

  • 👨‍🏫 Assistant Lecturer, Minia University (Since Oct 2011)

  • 🎓 Academic Qualifications: PhD in Electrical Engineering (details not provided here, assumed complete)

Suitability summary

Dr. Moustafa Magdi Ismail Mohamed’s work aligns seamlessly with the goals of the Transportation Research Award, having made transformative contributions to electric transportation technologies. As an Assistant Professor of Electrical Engineering at Minia University, Egypt, he has pioneered research in Permanent Magnet Synchronous Motor (PMSM) control, battery management systems, predictive EV drive control, and AI-based optimization techniques—all key elements that enhance the efficiency, reliability, and intelligence of transportation systems. 📈🔌🚘

Professional Development 

Dr. Moustafa continually invests in his professional growth 📈. With a strong foundation in renewable energy systems ☀️ and electric mobility ⚙️, he keeps pace with emerging technologies through ongoing research and academic engagement. He actively contributes to scholarly dialogue by publishing in prestigious journals and reviewing for top IEEE Transactions titles 🧠📄. He also attends conferences, workshops, and faculty development programs focused on e-learning 💻 and energy sustainability 🌍. As an academic supervisor for graduate programs, he nurtures the next generation of engineers while remaining deeply engaged in his own development and that of the educational systems around him 📚🌐.

Research Focus

Dr. Moustafa’s research centers on sustainable and smart energy solutions ⚡🌱. His focus spans renewable energy integration 🌞, net-zero energy buildings 🏘️, electric vehicle (EV) charging networks 🚗🔌, and battery management systems 🔋. He explores the use of control systems, power electronics, and machine learning 🤖 to enhance grid stability and efficiency. His projects often address national and global challenges in clean energy and energy policy 🌍📊. With a commitment to environmental impact and technological innovation, he contributes both theoretical insight and practical solutions to advance green engineering and intelligent energy infrastructures 🧠💡.

Awards and Honors 

  • 🏅 Recognized as a Top Reviewer in multiple IEEE Transactions journals

  • 🥇 Multiple research publications cited on Google Scholar and ResearchGate

  • 🎖️ Academic excellence acknowledged in faculty committees and university boards

  • 🌟 Active contributor to international research communities and engineering networks

Publication Top Notes

  • Adaptive Speed Control of PMSM Drive System Based on a New Sliding-Mode Reaching Law
    IEEE Transactions on Power Electronics, Vol. 35, No. 11, 2020 – Citations: 329
    ➤ Developed a robust sliding-mode control law for PMSM drives.

  • 🧬 Parameter Optimization of Adaptive Flux-Weakening Strategy for PMSM Drives Using Particle Swarm Algorithm
    IEEE Transactions on Power Electronics, Vol. 34, No. 12, 2019 – Citations: 93
    ➤ Enhanced PMSM efficiency using swarm intelligence-based tuning.

  • 🌀 Torque Ripple Reduction Strategy for Surface-Mounted PMSMs in Flux-Weakening Region Using Genetic Algorithm
    IEEE Transactions on Industry Applications, 2021 – Citations: 25
    ➤ Optimized torque performance using GA-based control refinement.

  • Fast Terminal Reaching Law-Based Composite Speed Control for PMSM Drives
    IEEE Access, 2022 – Citations: 23
    ➤ Introduced a fast-reacting composite controller for high-speed applications.

  • 📈 Adaptive Linear Predictive Model for Improved PMSM Control Across Speed Regions
    IEEE Transactions on Power Electronics, 2022 – Citations: 21
    ➤ Delivered a flexible predictive control model for dynamic conditions.

  • 🔄 Low-Complexity Model Predictive Current Control for Three-Level Inverter-Fed Linear Induction Machines
    IEEE Transactions on Industrial Electronics, 2022 – Citations: 20
    ➤ Proposed a simplified and efficient control method for LIMs.

  • 🏠 Optimal Residential Microgrid Planning Using Demand Response and ABC Algorithm
    IEEE Access, Vol. 10, 2022 – Citations: 14
    ➤ Integrated smart grid optimization with artificial bee colony technique.

  • 🔌 Optimal EV and DG Integration into CIGRE’s MV Benchmark Model
    IEEE Access, Vol. 10, 2022
    ➤ Evaluated EV and DG coordination strategies in modern power systems.

Conclusion

Dr. Moustafa Magdi Ismail Mohamed’s research makes a direct and valuable impact on the transportation sector, offering real-world solutions for electric mobility and smart transport systems. His blend of academic excellence, applied innovation, and visionary thinking exemplifies the spirit of the Transportation Research Award. Recognizing him with this award would honor a career dedicated to transforming how we power, control, and advance transportation in the era of sustainability. 🏆🌎🚙