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

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

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

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 πŸŽ“ is a dedicated academician and researcher with over 21 years of experience in teaching and academic leadership in the field of Computer Science πŸ‘¨β€πŸ«πŸ’». 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. πŸš€πŸ“˜

Professional Profile

Scopus
Orcid

Education and ExperienceΒ 

πŸŽ“ Education:
  • πŸ§‘β€πŸŽ“ Ph.D. in Computer Science & Technology – Dravidian University, 2021

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

  • πŸ’» MCA – JNTU College of Engineering, Ananthapur (2000–2003)

  • πŸ“Š B.Sc (Mathematics, Economics, Statistics) – Sri Venkateswara University

🏒 Work Experience:
  • πŸ‘¨β€πŸ« Professor & Dean of Faculty Affairs – JBREC, Hyderabad (2022–Present)

  • πŸ‘¨β€πŸ« Academic Consultant – Yogi Vemana University, Kadapa (2016–2022)

  • πŸ‘¨β€πŸ« Associate Professor – Bharath College of Engineering, Kadapa (2014–2016)

  • πŸ‘¨β€πŸ« Assistant Professor – KSRM College of Engineering, Kadapa (2004–2014)

Β 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 πŸŽ“πŸ“ˆ. As a Professor and Dean, he has effectively led faculty development initiatives, curriculum enhancement, and institutional collaborations 🏫🀝. His administrative prowess includes coordinating NBA accreditation πŸ“‘, managing academic councils 🧾, and overseeing departmental functions with precision. He actively mentors UG and PG students in research and real-time projects πŸ’ΌπŸ“Š. His participation in seminars, industrial visits, and student motivation programs highlights his holistic approach to education πŸ’¬πŸš. Tech-savvy and research-oriented, he adapts to emerging trends like Data Science, Blockchain, and IoT seamlessly. πŸ”—πŸŒ

Research FocusΒ 

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 βš‘πŸ”‹. His work bridges core computing areas such as Data Science, IoT, and Blockchain with applications in energy efficiency, smart energy systems, and sustainable computing πŸŒ±πŸ’‘. He actively guides projects that explore real-time monitoring, optimization of power consumption, and secure energy transactions using blockchain and distributed systems πŸ”πŸ”Œ. By integrating digital innovation with energy challenges, he contributes to building smarter, greener, and more connected energy infrastructures πŸŒβš™οΈ.

πŸ† Awards and HonorsΒ 

  • πŸ… Ratified as Professor by JNTUH

  • πŸ“˜ Appointed as PRC (Progress Review Committee) Coordinator at institutional level

  • πŸ“š Library Committee In-charge – JBREC

  • πŸ› οΈ Coordinator for NBA Criteria 9 – JBREC

  • πŸŽ“ Active Academic Council Member – multiple institutions

  • πŸ“ 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
    πŸ—ž Indonesian Journal of Electrical Engineering and Computer Science
    ISSN: 2502-4752

  • Cloud Computing Environment Based Hierarchical Anomaly Intrusion Detection System Using Artificial Neural Network
    πŸ—ž 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
    πŸ—ž International Journal of Thermal Science and Engineering Progress
    Manuscript ID: TSEP-0-24-02980R1

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

  • Clustering in Wireless Sensor Networks: A Review
    πŸ—ž 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
    πŸ—ž International Journal of Food and Nutrition (IJFANS)
    ISSN: 2320-7876 | Volume: 11 | Issue: 9, 2022

  • Model for Fake News Detection Using AI Technique
    πŸ—ž 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
    πŸ—ž 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
    πŸ—ž 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
    πŸ—ž 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

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 πŸŽ“ 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 πŸ’‘, and electric vehicles πŸš—πŸ”‹, Dr. Moustafa has made significant strides in these fields. His contributions include guiding graduate projects, publishing scholarly articles πŸ“š, and serving as a top reviewer for IEEE journals πŸ…. Dedicated to innovation and education, he actively participates in curriculum design and lab supervision, all while promoting quality assurance in engineering education πŸ› οΈπŸ‘¨β€πŸ«.

Publication Profile

Google Scholar

Education & ExperienceΒ 

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

    • Teaching & curriculum design for Electrical Engineering

    • Supervision of graduate projects, labs, and quality systems

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

    • Delivered technical courses across various levels

  • πŸ‘¨β€πŸ« Assistant Lecturer, Minia University (Since Oct 2011)

  • πŸŽ“ 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 techniquesβ€”all key elements that enhance the efficiency, reliability, and intelligence of transportation systems. πŸ“ˆπŸ”ŒπŸš˜

Professional DevelopmentΒ 

Dr. Moustafa continually invests in his professional growth πŸ“ˆ. With a strong foundation in renewable energy systems β˜€οΈ and electric mobility βš™οΈ, 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 πŸ§ πŸ“„. He also attends conferences, workshops, and faculty development programs focused on e-learning πŸ’» 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 πŸ“šπŸŒ.

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 πŸš—πŸ”Œ, and battery management systems πŸ”‹. He explores the use of control systems, power electronics, and machine learning πŸ€– to enhance grid stability and efficiency. His projects often address national and global challenges in clean energy and energy policy πŸŒπŸ“Š. 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 πŸ§ πŸ’‘.

Awards and HonorsΒ 

  • πŸ… Recognized as a Top Reviewer in multiple IEEE Transactions journals

  • πŸ₯‡ Multiple research publications cited on Google Scholar and ResearchGate

  • πŸŽ–οΈ 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
    ➀ 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
    ➀ Enhanced PMSM efficiency using swarm intelligence-based tuning.

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

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

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

  • πŸ”„ Low-Complexity Model Predictive Current Control for Three-Level Inverter-Fed Linear Induction Machines
    IEEE Transactions on Industrial Electronics, 2022 – Citations: 20
    ➀ 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
    ➀ Integrated smart grid optimization with artificial bee colony technique.

  • πŸ”Œ Optimal EV and DG Integration into CIGRE’s MV Benchmark Model
    IEEE Access, Vol. 10, 2022
    ➀ 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. πŸ†πŸŒŽπŸš™