Ms. Haitong Yang | Renewable Energy | Women Researcher Award

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Ms. Haitong Yang | Renewable Energy | Women Researcher Award

Ms. Haitong Yang | China university of geosciences | China

Ms. Haitong Yang is a joint Ph.D. student at the China University of Geosciences (Beijing) specializing in Oil and Gas Engineering, with research focusing on advanced interpretation methods for production profiling based on microbial DNA sequencing. His academic background includes a Master’s degree in Oil and Gas Engineering from the China University of Petroleum (Beijing), where his work centered on production dynamic monitoring using microbial DNA sequencing, and a Bachelor’s degree in Oil and Gas Storage and Transportation Engineering from Northeast Petroleum University. Haitong has been recognized with multiple national and international awards, including the National Scholarship for Chinese Graduate Students, first prizes in the China Doctoral Academic Forum and the Asia Pacific Cup in Mathematical Modeling, as well as honors in innovation and entrepreneurship competitions. His technical expertise encompasses DNA extraction experiments, Mothur, CMG, Petrel, and MATLAB, applied to major projects in Shengli and Changqing Oilfields, where his work integrates microbial genomics with petroleum engineering to optimize reservoir evaluation, water flow path tracking, and fluid biomarker analysis. His contributions have resulted in 9 published documents, 51 citations by 47 documents, and an h-index of 3, reflecting his growing impact in the field of intelligent oil and gas engineering and reservoir characterization.

Profile: Scopus

Featured Publication

Yang, H., Kang, Z., Wang, S., & Jiang, H. (2025). DNA-sequencing method maps subsurface fluid flow paths for enhanced monitoring. Communications Earth and Environment.

 

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.

 

 

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

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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).

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.

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

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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. Goutam Khankari | Sustainable Engineering | Best Researcher Award

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Dr. Goutam Khankari | Sustainable Engineering | Best Researcher Award

Dr. Goutam Khankari | Damodar Valley Corporation | India

Dr. Goutam Khankari is a distinguished researcher and engineer specializing in thermal power systems. His PhD research, titled “Thermodynamic Analysis and Performance Improvement of Coal-Fired Thermal Power Plants,” focused on a comprehensive 4-E approach—Energy, Exergy, Environment, and Economic analysis—of various coal-fired steam power plants using high-ash Indian coals. The primary objective of his work was to enhance the overall efficiency and net power output of these plants by exploiting low-grade waste energy through the Kalina Cycle System, integrating solar energy, and optimizing operational conditions. Dr. Khankari’s research not only provides critical insights into energy and exergy efficiencies but also emphasizes sustainable practices and environmental considerations in coal-based power generation. His work has been widely recognized, reflected in 97 citations across 88 documents and an h-index of 5, demonstrating significant academic influence. Through his innovative approaches to performance improvement and waste energy utilization, Dr. Khankari has contributed meaningfully to the field of thermal engineering, offering practical solutions for maximizing energy output while minimizing environmental impact in India’s coal-fired power sector.

Profile: Scopus | Google Scholar

Featured  Publications

Khankari, G., & Karmakar, S. (2016). Power generation from coal mill rejection using Kalina cycle. Journal of Energy Resources Technology, 138(5), 052004.

Khankari, G., Munda, J., & Karmakar, S. (2016). Power generation from condenser waste heat in coal-fired thermal power plant using Kalina cycle. Energy Procedia, 90, 613–624.

Khankari, G., & Karmakar, S. (2018). Power generation from fluegas waste heat in a 500 MWe subcritical coal-fired thermal power plant using solar assisted Kalina Cycle System 11. Applied Thermal Engineering, 138, 235–245.

Khankari, G., & Karmakar, S. (2021). A novel solar assisted Kalina cycle system for waste heat utilization in thermal power plants. International Journal of Energy Research, 45(12), 17146–17158.

Roge, N. H., Khankari, G., & Karmakar, S. (2022). Waste heat recovery from fly ash of 210 MW coal fired power plant using organic rankine cycle. Journal of Energy Resources Technology, 144(8), 082107.

Khankari, G., & Karmakar, S. (2014). Operational optimization of turbo-generator (TG) cycle of a 500MW coal-fired thermal power plant. In 2014 6th IEEE Power India International Conference (PIICON) (pp. 1–6).

Khankari, G., Karmakar, S., Pramanick, A., & Biswas, M. (2013). Thermodynamic analysis of a 500MW coal-fired Indian power plant. In ESMOC Conference, NIT Durgapur, India.

Mr. Ivo Yotov | Renewable Energy | Best Researcher Award

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Mr. Ivo Yotov | Renewable Energy | Best Researcher Award

Mr. Ivo Yotov | Technical University of Sofia | Bulgaria

Mr. Ivo Yotov Yotov is a highly skilled mechanical engineer with extensive experience in the space industry, automotive environmental testing, and heavy machinery maintenance. He is currently contributing to advanced satellite projects as an AIT Mechanical Engineer at Endurosat EAD, where he is involved in the precise assembly, integration, and testing of satellite systems. Previously, he worked as an Environmental Test Technician at Visteon Electronics Bulgaria, focusing on climatic and mechanical testing for automotive platforms, and as a Service Engineer at EUROMARKET Group, specializing in diagnostics, maintenance, and optimization of heavy machinery. His career is characterized by a strong focus on quality assurance, adherence to industry standards, and the application of innovative engineering solutions. With both advanced academic training and practical expertise, Ivo blends theoretical knowledge with hands-on problem-solving to deliver results in complex and technologically demanding environments.

Professional Profile 

Google Scholar | Scopus

Education and Experience

Mr. Ivo Yotov Yotov is pursuing a doctoral degree at the Technical University of Sofia in the field of Theory of Mechanisms, Machines, and Automatic Lines. His research examines the modelling and study of energy conversion systems based on shape memory alloys, supported by specialized studies in MEMS technology, mathematical modelling, and actuator design. He also holds a master’s degree in Mechanical Engineering from the same institution, specializing in Computer-aided Design and Manufacturing Technology. His thesis focused on the design and analysis of a bistable pump driven by shape memory alloys, incorporating an energy recovery system. His professional experience spans several engineering domains, including his current role as an AIT Mechanical Engineer in the space industry, previous work as an Environmental Test Technician in the automotive sector, and earlier service as a heavy machinery Service Engineer. This academic and professional blend gives him a solid foundation for tackling complex mechanical and technological challenges.

Summary Suitability

Mr. Ivo Yotov Yotov is an outstanding candidate for the Best Researcher Award, demonstrating a rare combination of academic depth, cross-industry engineering expertise, and impactful research in the field of applied mechanical and aerospace engineering. His work bridges theoretical innovation with practical application, particularly in the study and utilization of shape memory alloys for energy conversion, vibration harvesting, and high-reliability mechanical systems. With a strong foundation in satellite system integration, environmental testing for the automotive industry, and diagnostics for heavy machinery, Ivo has consistently applied rigorous methodologies to solve complex engineering problems. His academic research, supported by high-quality publications in peer-reviewed journals, reflects a commitment to advancing knowledge in smart material applications and energy systems.

Professional Development

Mr. Ivo Yotov Yotov’s professional development reflects a steady progression through increasingly sophisticated areas of engineering. His early work in heavy machinery diagnostics and maintenance allowed him to build a strong technical foundation in mechanical systems, safety, and reliability. Moving into the automotive sector, he advanced his skills in environmental testing, developing test programs, ensuring compliance with industry standards, and mastering the interpretation of performance data under various climatic and mechanical conditions. In the space industry, his focus has expanded to high-precision assembly and integration of satellite systems, combining advanced mechanical engineering with rigorous quality control and testing methodologies. Throughout his career, he has consistently sought opportunities to expand his technical expertise, deepen his understanding of innovative materials such as shape memory alloys, and apply modern design and manufacturing tools. His journey demonstrates adaptability, commitment to excellence, and the ability to integrate theoretical and practical knowledge in cutting-edge engineering projects.

Research Focus

Mr. Ivo Yotov Yotov’s research and technical work align with the category of Applied Mechanical and Aerospace Engineering, with a particular emphasis on smart materials and precision systems. His doctoral studies investigate energy conversion systems based on shape memory alloys, exploring their potential in actuation, energy recovery, and absorption technologies. His expertise extends to MEMS-based applications, mathematical modelling, and the design of systems capable of performing reliably in challenging operational environments. In his current space industry role, he applies these principles to satellite integration and testing, ensuring structural, mechanical, and functional integrity. His background in automotive environmental testing also supports research into material durability, system resilience, and performance optimization under extreme climatic and mechanical stress. This combination of academic inquiry and industrial application positions him to contribute to advancements in smart material utilization, satellite technology, and high-reliability engineering systems.

Awards and Honors

Mr. Ivo Yotov Yotov has been recognized for his professional excellence through respected certifications, specialized training, and impactful contributions to engineering research and practice. He holds internationally acknowledged certifications in ISO/IEC standards, demonstrating a strong commitment to quality management, laboratory competence, and adherence to globally accepted engineering requirements. Throughout his career, he has been trusted to lead maintenance and repair teams for high-priority projects in the aerospace, automotive, and heavy machinery sectors. His reputation for delivering results under challenging conditions is matched by his ability to integrate leadership, technical precision, and innovative problem-solving. Proficiency in advanced engineering software, including SolidWorks, Comsol, Ansys, and PTC Creo, further enhances his capacity to create and implement effective solutions. These honors reflect his dedication to advancing engineering practices, maintaining professional integrity, and contributing to projects with lasting technical and industrial impact.

Publication Top Notes

  • Title: Study of Self-Excited Thermomechanical Oscillator with Shape Memory Alloys
    Year: 2024
    Citation: 4

  • Title: Dynamics of a Self-Excited Vibrating Thermal Energy Harvester with Shape Memory Alloys and PVDF Cantilevers
    Year: 2024
    Citation: 3

  • Title: Magnetic Frequency Tuning of a Shape Memory Alloy Thermoelectric Vibration Energy Harvester
    Year: 2025

Conclusion

Mr. Ivo Yotov Yotov stands out as an exceptional researcher whose academic achievements, innovative contributions, and practical engineering applications position him as a leading figure in his field. His commitment to advancing knowledge, coupled with his ability to translate research into real-world technological solutions, makes him highly deserving of the Best Researcher Award.

 

Dr. B. J. Job Karuna Sagar | Renewable Energy | Best Researcher Award

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Dr. B. J. Job Karuna Sagar | Renewable Energy | Best Researcher Award

Dr. B. J. Job Karuna Sagar , Joginpally B.R Engineering College hyderabad , India.

Dr. B. J. Job Karuna Sagar 🎓 is a dedicated academician and researcher with over 21 years of experience in teaching and academic leadership in the field of Computer Science 👨‍🏫💻. Currently serving as Professor & Dean of Faculty Affairs at Joginapally B.R. Engineering College, Hyderabad 🏫, he is known for his commitment to student success, academic planning, and innovative teaching methodologies. With a Ph.D. in Computer Science & Technology 🧠 and a strong background in practical and theoretical computing, he has mentored numerous students and contributed significantly to institutional development. His passion for emerging technologies and continuous learning drives his academic journey. 🚀📘

Professional Profile

Scopus
Orcid

Education and Experience 

🎓 Education:

  • 🧑‍🎓 Ph.D. in Computer Science & Technology – Dravidian University, 2021

  • 💾 M.Tech in Computer Science & Engineering – Sathyabama University (2007–2009)

  • 💻 MCA – JNTU College of Engineering, Ananthapur (2000–2003)

  • 📊 B.Sc (Mathematics, Economics, Statistics) – Sri Venkateswara University

🏢 Work Experience:

  • 👨‍🏫 Professor & Dean of Faculty Affairs – JBREC, Hyderabad (2022–Present)

  • 👨‍🏫 Academic Consultant – Yogi Vemana University, Kadapa (2016–2022)

  • 👨‍🏫 Associate Professor – Bharath College of Engineering, Kadapa (2014–2016)

  • 👨‍🏫 Assistant Professor – KSRM College of Engineering, Kadapa (2004–2014)

 Summary Suitability

Dr. B. J. Job Karuna Sagar is a distinguished academician and researcher with over 21 years of cross-functional experience in Computer Science and Engineering. A recipient of a Ph.D. in Computer Science & Technology from Dravidian University, he has consistently demonstrated research excellence, academic leadership, and technological innovation. His extensive teaching expertise, coupled with advanced knowledge in areas such as Data Science, Blockchain Technology, IoT, and Software Engineering, make him a highly deserving nominee for the Best Researcher Award.

Professional Development

Dr. Karuna Sagar is an enthusiastic professional committed to academic excellence and lifelong learning 🎓📈. As a Professor and Dean, he has effectively led faculty development initiatives, curriculum enhancement, and institutional collaborations 🏫🤝. His administrative prowess includes coordinating NBA accreditation 📑, managing academic councils 🧾, and overseeing departmental functions with precision. He actively mentors UG and PG students in research and real-time projects 💼📊. His participation in seminars, industrial visits, and student motivation programs highlights his holistic approach to education 💬🚍. Tech-savvy and research-oriented, he adapts to emerging trends like Data Science, Blockchain, and IoT seamlessly. 🔗🌐

Research Focus 

Dr. B. J. Job Karuna Sagar’s research spans dynamic fields in Computer Science & Engineering, with a growing focus on Energy Informatics and Smart Grid Technologies ⚡🔋. His work bridges core computing areas such as Data Science, IoT, and Blockchain with applications in energy efficiency, smart energy systems, and sustainable computing 🌱💡. He actively guides projects that explore real-time monitoring, optimization of power consumption, and secure energy transactions using blockchain and distributed systems 🔐🔌. By integrating digital innovation with energy challenges, he contributes to building smarter, greener, and more connected energy infrastructures 🌐⚙️.

🏆 Awards and Honors 

  • 🏅 Ratified as Professor by JNTUH

  • 📘 Appointed as PRC (Progress Review Committee) Coordinator at institutional level

  • 📚 Library Committee In-charge – JBREC

  • 🛠️ Coordinator for NBA Criteria 9 – JBREC

  • 🎓 Active Academic Council Member – multiple institutions

  • 📝 Paper Setter & Moderator – UG and PG levels since 2004

  • 🧭 Successfully organized department and institutional programs as Dean

  • 🚍 Led student industrial/educational visits and academic initiatives

Publication Top Notes

  • Internet of Things Based Autonomous Robot System Architecture for Home Automation and Healthcare Services
    🗞 Indonesian Journal of Electrical Engineering and Computer Science
    ISSN: 2502-4752

  • Cloud Computing Environment Based Hierarchical Anomaly Intrusion Detection System Using Artificial Neural Network
    🗞 International Journal of Electrical and Computer Engineering (IJECE)
    ISSN: 2088-8708 | DOI: 10.11591/IJECE.V15IL.PP1209-1217 | Vol. 15, No. 1, Feb 2025, pp. 1209–1217

  • Thermodynamic Analysis of a Novel Concentrated Solar Power Plant with Integrated Thermal Energy Storage
    🗞 International Journal of Thermal Science and Engineering Progress
    Manuscript ID: TSEP-0-24-02980R1

  • Chatbot Application Using Artificial Intelligence
    🗞 International Journal of Food and Nutrition (IJFANS)
    ISSN: 2320-7876 | Volume: 10 | Issue: 6

  • Clustering in Wireless Sensor Networks: A Review
    🗞 International Journal of Food and Nutrition (IJFANS)
    ISSN: 2320-7876 | Volume: 11 | Issue: 2, 2022

  • Efficient Resource Allocation and Computation Framework for Vehicular Multimedia Cloud Computing
    🗞 International Journal of Food and Nutrition (IJFANS)
    ISSN: 2320-7876 | Volume: 11 | Issue: 9, 2022

  • Model for Fake News Detection Using AI Technique
    🗞 International Journal of Safety and Security Engineering (IJSSE)
    ISSN: 2248-3045 | Volume: 11 | Issue: 9, March 2023

  • Enhancing AES with Key Dependent S-Box and Transpose MDS Matrix
    🗞 International Journal of Innovative Technology and Exploring Engineering (IJITEE)
    ISSN: 2278-3075 | Volume: 11 | Issue: 9, August 2022

  • Engineering Practices and Their Role in Post-Adoption of SCRUM at an Enterprise
    🗞 International Journal of Engineering and Advanced Technology (IJEAT)
    ISSN: 2249-8958 | Volume: 10 | Issue: 2, December 2020

  • Image Steganography Built on Pixel Value Difference in Spatial Domain Using Range
    🗞 International Journal of Engineering and Advanced Technology (IJEAT)
    ISSN: 2249-8958 | Volume: 9 | Issue: 3, February 2020

Conclusion

Dr. B.J. Job Karuna Sagar’s significant contributions to research, academic leadership, and innovation in computer science make him a deserving recipient of the Best Researcher Award. His work reflects excellence, impact, and a strong commitment to advancing knowledge and mentoring future researchers.

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

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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. 🏆🌎🚙

Zhengguang Liu | Wind Power Forecasting | Best Researcher Award

Published on by Superior Awards

Zhengguang Liu | Wind Power Forecasting | Best Researcher Award

Mr. Zhengguang Liu , Hubei University of Technology , China.

Mr. Zhengguang Liu, a postgraduate student at the Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, Wuhan, specializes in wind power forecasting. His research integrates meteorology, electrical engineering, and AI technologies, with a focus on developing hybrid models such as CEEMDAN-VMD-GRU to mitigate noise and refine high-frequency data in wind energy time series. His work enhances grid stability and energy efficiency through innovative methods like entropy-driven clustering. Liu’s expertise contributes to optimizing energy trading, forecasting accuracy, and promoting renewable energy integration. 📊🌬️💡

Publication  Profile

Orcid

🎓 Education & Experience:

  • 🎓 M.S. in Power System and Automation:
    Hubei University of Technology, Wuhan, Hubei Province

  • ⚡ Researcher:
    Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment

  • 🧠 Project Experience:
    Developed CEEMDAN-VMD-GRU framework for short-term wind power forecasting, reducing reconstruction errors by 18%

  • 📊 Research Interests:
    Wind power forecasting, uncertainty analysis, multi-scale prediction, and hybrid physics-data methods

Summary Suitability

Best Researcher Award – Zhengguang Liu, a postgraduate researcher at the Hubei Engineering Research Center for Safety Monitoring of New Energy and Power Grid Equipment, Hubei University of Technology, stands out as an exemplary candidate for this prestigious award. His pioneering research in wind power forecasting combines advanced AI techniques, signal decomposition, and hybrid physics-data models, addressing critical challenges in renewable energy systems. 🌬️📊💡

🚀 Professional Development 

Mr.Zhengguang Liu’s professional development revolves around advancing wind power forecasting through interdisciplinary research. He blends meteorological data, numerical models, and AI techniques like LSTM and GRU to predict wind energy output accurately. His contributions include refining signal decomposition methods using CEEMDAN and VMD, enhancing computational efficiency through entropy-driven clustering, and improving grid stability with predictive analytics. Liu’s expertise spans programming, SCADA systems, IoT data integration, and data processing, positioning him as a vital contributor to optimizing renewable energy systems and enhancing power grid reliability. 🌐📈💻

🌪️ Research Focus 

Mr.Zhengguang Liu’s  research focuses on wind power forecasting by merging advanced decomposition techniques and AI models to enhance predictive accuracy. His CEEMDAN-VMD-GRU framework reduces mode mixing and noise interference, improving the reliability of wind energy predictions. Key areas include uncertainty analysis, multi-scale predictions, and hybrid physics-data models. His work supports real-time energy management through SCADA and IoT data integration, aiding grid stability and energy trading. Liu’s innovations address challenges posed by terrain variability and climate shifts, contributing to more precise and efficient renewable energy systems. ⚡🌍📡

🏆 Awards & Honors

  • 🥇 Outstanding Graduate Award – Hubei University of Technology

  • 📚 Excellence in Research Award – Recognized for contributions to wind power forecasting

  • 🎖️ Best Paper Award – Conference on Renewable Energy Innovations

  • 🏆 Top Performer in AI & Data Science Applications – For pioneering hybrid models in energy systems

  • 🎓 National Scholarship Recipient – For academic excellence in power system and automation studies

Publication Top Notes

📚 Publication Details:

  • Title: Short-Term Wind Power Prediction Method Based on CEEMDAN-VMD-GRU Hybrid Model

  • Authors: Na Fang, Zhengguang Liu, Shilei Fan

  • Journal: Energies

  • Publication Date: March 2025

  • DOI: 10.3390/en18061465

  • Type: Journal Article

Conclusion

Mr. Zhengguang Liu’s research advances precision in wind power forecasting through the development of hybrid models that improve prediction accuracy and operational efficiency. His work addresses the growing need for reliable and sustainable energy management systems, making a profound impact on renewable energy technology. His interdisciplinary expertise and innovative methodologies make him a deserving recipient of the Best Researcher Award. 🏆⚡🌍