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.

 

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. Aamir Ali | Smart Grid Systems | Best Researcher Award

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Dr. Aamir Ali | Smart Grid Systems | Best Researcher Award

Dr. Aamir Ali | Quaid-e-Awam University of Engineering Science and Technology | Pakistan

Dr. Aamir Ali is currently serving as an Assistant Professor (BPS-19) in the Department of Electrical Engineering at Quaid-e-Awam University of Engineering, Science and Technology (QUEST), Nawabshah, Sindh, Pakistan. He is a highly dedicated academic and researcher specializing in power system planning and optimization, distributed generation, and microgrid operations in both islanded and grid-connected modes. Dr. Ali earned his Ph.D. in Electrical Engineering from QUEST in 2020, where his doctoral research focused on single and multi-objective mathematical programming, direct search evolutionary algorithms, and optimization techniques for economic dispatch, optimal power flow, and unit commitment with renewable energy integration such as wind and solar PV systems. Prior to his doctorate, he completed his Master of Engineering in Power System Optimization from the same institution in 2015 and his Bachelor of Engineering in Electrical Power with an outstanding 85% score in 2012. His academic journey began with strong foundational performance at the intermediate and matriculation levels, both from the Board of Intermediate and Secondary Education, Hyderabad, Sindh, where he secured first division and A-1 grade distinctions. With 445 citations by 342 documents, 27 published works, and an h-index of 11, Dr. Aamir Ali has established himself as an active researcher in power systems optimization. He aspires to continue contributing to academia and research while leading a top-tier institution toward excellence in education and innovation.

Profile: Scopus | Orcid

Featured Publications

Akbar Talani, R., Kaloi, G. S., Ali, A., Abbas, G., Emara, A., & Touti, E. (2025, July 29). Fault analysis and performance improvement of grid-connected doubly fed induction generator through an enhanced crowbar protection scheme. PLOS One.

Ali, A., Akbar Talani, R., Kaloi, G. S., Bijarani, M. A., Abbas, G., Hatatah, M., Mercorelli, P., & Touti, E. (2025, January 29). Dynamic performance analysis and fault ride-through enhancement by a modified fault current protection scheme of a grid-connected doubly fed induction generator. Machines, 13(2).

Ali, A., Ali, A., Liu, Z., Abbas, G., Touti, E., & Nureldeen, W. (2024). Dynamic multi-objective optimization of grid-connected distributed resources along with battery energy storage management via improved bidirectional coevolutionary algorithm. IEEE Access.

Ali, A., Shah, A., Keerio, M. U., Mugheri, N. H., Abbas, G., Touti, E., Hatatah, M., Yousef, A., & Bouzguenda, M. (2024). Multi-objective security constrained unit commitment via hybrid evolutionary algorithms. IEEE Access.

Abbas, G., Wu, Z., & Ali, A. (2024, December). A two-stage reactive power optimization method for distribution networks based on a hybrid model and data-driven approach. IET Renewable Power Generation.

Ali, A., Aslam, S., Mirsaeidi, S., Mugheri, N. H., Memon, R. H., Abbas, G., & Alnuman, H. (2024, December). Multi-objective multiperiod stable environmental economic power dispatch considering probabilistic wind and solar PV generation. IET Renewable Power Generation.

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.

Prof. Yangjun Zhang | Energy Storage Solutions | Best Researcher Award

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Prof. Yangjun Zhang | Energy Storage Solutions | Best Researcher Award

Prof. Yangjun Zhang | Tsinghua University | China

Prof. Yangjun Zhang, Hubei Province, is a distinguished scholar in aeroengine engineering. He earned his doctoral degree from the Beijing University of Aeronautics and Astronautics and completed postdoctoral research at Tsinghua University. He advanced through academic ranks to become a full professor. His pioneering contributions span aerothermodynamics, turbocharging systems, and turboelectric power systems. Prof. Zhang developed China’s first high-pressure ratio turbocharging system and the first turbo-electric fan engine. He has published hundreds of papers, written several books, and holds numerous national and international patents. He currently serves in leading academic and professional committee roles worldwide.

Professional Profile

Scopus

Education and Experience

Prof. Yangjun Zhang received his doctoral degree in aeroengine engineering from the Beijing University of Aeronautics and Astronautics. After completing his postdoctoral work at Tsinghua University, he entered academia as an associate professor and later became a full professor. Over the course of his career, he has conducted groundbreaking research in turbomachinery aerothermodynamics and advanced power systems. His achievements include innovations in turbocharged engines and the development of turboelectric propulsion systems. He now serves as the executive deputy director of the State Key Laboratory of Intelligent Green Vehicle and Mobility, while remaining a global leader in propulsion and energy research.

Summary Suitability

Prof. Yangjun Zhang is an outstanding candidate for the Best Researcher Award, recognized for his pioneering contributions to aeroengine engineering, turbomachinery aerothermodynamics, and advanced power systems. His research bridges fundamental science and engineering applications, significantly advancing both the automotive and aerospace sectors.Prof. Zhang’s early research uncovered novel flow mechanisms in turbocharged engine systems, leading to innovative methods that enhanced compressor stability. These breakthroughs enabled the successful development of China’s first high-pressure ratio turbocharging system.

Professional Development

Prof. Yangjun Zhang has advanced the field of propulsion through academic leadership, innovative research, and professional service. He has published extensively, authored multiple books, and secured a wide range of patents. His editorial role as one of the editors-in-chief of the International Journal of Fluid Machinery and Systems highlights his global academic influence. In addition, he holds prominent leadership positions in major scientific and engineering societies, including chairing committees on new energy power technology and serving as vice chair of professional organizations in engineering thermophysics. His leadership has fostered international collaboration and strengthened academic and industrial progress.

Research Focus

Prof. Yangjun Zhang focuses on aerothermodynamics of turbomachinery and advanced power systems with applications in aerospace and automotive industries. His early work revealed new flow mechanisms in turbocharged engine systems and introduced innovative methods to enhance compressor stability. His more recent research explores turboelectric power systems, where he developed integrated design methods for turbomachines and electric machines with multiphysics coupling. His achievements include high-power-density motor cooling innovations using flat heat pipes and the concept of a variable cycle fuel cell turbo-electric engine. He led the creation of China’s first high-pressure ratio turbocharging system and the first turbo-electric fan engine.

Awards and Honors

Prof. Yangjun Zhang has received numerous prestigious awards for his exceptional contributions to engineering. His honors include recognition from leading international engineering societies for best research papers, medals for outstanding innovation, and national awards for scientific and technological progress. His achievements have also been celebrated with distinguished engineer awards and prizes for excellence in industry applications. These accolades reflect his global influence and leadership in propulsion, turbomachinery, and advanced power systems research, establishing him as a highly respected authority and one of the most impactful scholars in his field.

Publication Top notes

Title: ME-NN: a modal-enhanced neural network for ducted fan flow fields and performance modeling under complex environments
Year: 2024

Conclusion

Prof. Yangjun Zhang’s sustained research excellence, groundbreaking innovations, and international leadership make him a highly suitable candidate for the Best Researcher Award. His work not only pushes the boundaries of propulsion and energy systems but also strengthens global collaboration and technological progress, embodying the very spirit of this distinguished recognition.

 

 

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. 🏆🌎🚙

S. K. Tyagi | Clean Combustion of Solid Fuels | Best Researcher Award

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Assoc Prof Dr. S. K. Tyagi | Clean Combustion of Solid Fuels | Best Researcher Award

Indian Institute of Technology Delhi, India

👨‍🎓 Profiles

Early Academic Pursuits

S.K. Tyagi's academic journey began with a Ph.D. from the Indian Institute of Technology (IIT) Delhi. His thesis titled "Application of Finite Time Thermodynamics and Second Law Evaluation of Thermal Energy Conversion Systems" laid the foundation for his extensive research in thermodynamics and energy systems. His early post-doctoral work took him to prominent institutions across Hong Kong and China, allowing him to build expertise in renewable energy and refrigeration systems.

💼 Professional Endeavors

S.K. Tyagi has over 25 years of professional experience in the field of energy studies. He has held various academic and research roles, including: Associate Professor at the Centre for Energy Studies, IIT Delhi, Scientist E/Director at Sardar Swaran Singh National Institute of Renewable Energy, Assistant Professor at Shri Mata Vaishno Devi University, Brain Pool Scientist at Korea Institute of Energy Research, Multiple Post-Doctoral Fellowships at Hong Kong Polytechnic University, Zhejiang University, and Xiamen University.

🔬 Contributions and Research Focus

S.K. Tyagi's research contributions span a wide range of topics within the energy sector, such as: Solar Thermal Applications, Exergy Analysis of Energy Conversion Systems, Biomass Characterization and Management, Hybrid Solar-Biomass Systems, Clean Development Mechanism (CDM), Phase Change Materials for Energy Conservation. His work on biomass combustion, solar hybrid systems, and energy-efficient cookstoves has played a crucial role in advancing renewable energy technologies. Tyagi has also contributed to the development of solar-biomass hybrid systems for atmospheric water generation, focusing on sustainable energy solutions for arid climates.

🌍 Impact and Influence

S.K. Tyagi's research has had a significant impact on renewable energy technologies, particularly in India. His projects on biomass-solar hybrid systems and clean biomass combustion for jaggery production have helped reduce environmental pollution and improve energy efficiency. His contributions have been widely recognized, with numerous citations in top energy journals, including Renewable and Sustainable Energy Reviews.

🛠️ Technical Skills

S.K. Tyagi's technical expertise includes: Finite Time Thermodynamics, Exergy and Energy Analysis, Biomass Combustion Systems, Solar-Biomass Hybrid Systems, Biomass Cookstove Design and Dissemination. His knowledge in energy-efficient technologies and thermodynamics has enabled him to contribute to both academic research and practical energy solutions.

👩‍🏫 Teaching Experience

Throughout his career, S.K. Tyagi has been an active educator, holding teaching roles at institutions like IIT Delhi and Shri Mata Vaishno Devi University. His expertise in energy conversion systems, thermodynamics, and renewable energy technologies has inspired many students to pursue careers in energy studies.

🏆 Legacy and Future Contributions

S.K. Tyagi's legacy is built on his contributions to renewable energy research and sustainable development. His work has paved the way for new innovations in biomass energy, solar thermal applications, and hybrid energy systems. Moving forward, his research is likely to focus on further advancements in clean energy technologies, energy conservation, and sustainable development.

🎖 Honors and Awards

  • Brain Pool Fellowship from the Korea Foundation of Science & Technology
  • Post-Doctoral Fellowships in Hong Kong and China
  • Research Associate at the Council of Scientific & Industrial Research (CSIR), India

Tyagi's numerous awards and fellowships underscore his international recognition as a leader in energy studies.

📖  Notable Publications

Development of phase change materials based microencapsulated technology for buildings: a review

Authors: T.S. Kousks, V.V. Tyagi, S.C. Kaushik, T. Akiyama
Journal: Renewable and Sustainable Energy Reviews
Year: 2011

Recent advances in the development of biomass gasification technology: A comprehensive review

Authors: S.K. Sansaniwal, K. Pal, M.A. Rosen, S.K. Tyagi
Journal: Renewable and Sustainable Energy Reviews
Year: 2017

Advancement in solar photovoltaic/thermal (PV/T) hybrid collector technology

Authors: S.C. Kaushik, S.K. Verma, V.V. Tyagi
Journal: Renewable and Sustainable Energy Reviews
Year: 2012

Energy and exergy analyses of thermal power plants: A review

Authors: S.C. Kaushik, V.S. Reddy, S.K. Tyagi
Journal: Renewable and Sustainable Energy Reviews
Year: 2011

State-of-the-art of solar thermal power plants

Authors: V.S. Reddy, S.C. Kaushik, K.R. Ranjan, S.K. Tyagi
Journal: Renewable and Sustainable Energy Reviews
Year: 2013