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.

 

 

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.

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. Pushpendra Singh | Smart Grid Systems | Best Researcher Award

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Dr. Pushpendra Singh | Smart Grid Systems | Best Researcher Award

Dr. Pushpendra Singh | Rajkiya Engineering College Banda | India

Dr. Pushpendra Singh is a distinguished academic and administrator in the field of electrical engineering with extensive experience in teaching, leadership, and institutional development. He is currently serving at Rajkiya Engineering College, Atarra, Banda, where he has undertaken multiple academic and administrative responsibilities such as Assistant Professor, Head of Department, Chief Proctor, and IEEE Coordinator. Previously, he held senior positions including Principal and Dean Academics at Vindhya Institute of Technology and Science, Satna. Known for his leadership in student affairs, innovation councils, and quality assurance initiatives, Dr. Singh remains committed to advancing engineering education and promoting institutional excellence.

Professional Profile

Scopus | Orcid

Education and Experience

Dr. Pushpendra Singh holds a Ph.D. in Power System Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, complemented by a Master’s degree in Industrial System and Drives from MITS Gwalior, and a Bachelor’s degree in Electrical Engineering from Maharana Pratap College of Technology, Gwalior. Over the course of his career, he has taught undergraduate and postgraduate students, led academic departments, and contributed to institutional planning and student governance. His experience spans across reputable engineering institutes in Madhya Pradesh and Uttar Pradesh, where he has played a vital role in fostering academic integrity, promoting interdisciplinary collaboration, and shaping engineering curricula.

Summary Suitability

Dr. Pushpendra Singh is a highly distinguished academician and researcher, whose multifaceted contributions in the field of power systems, renewable energy, optimization algorithms, and engineering education make him an exceptional nominee for the Best Researcher Award. With a career spanning over two decades in teaching, leadership, and research, Dr. Singh has consistently demonstrated scholarly excellence and administrative acumen, advancing both theoretical and applied knowledge in electrical engineering.

Professional Development 

Dr. Singh has demonstrated consistent professional growth through his involvement in various academic, administrative, and institutional initiatives. He has served in key roles such as IPR Activity Coordinator, IEEE Coordinator, and Member Secretary of core institutional committees. His contributions extend to infrastructure management, student affairs, and innovation programs, reflecting his commitment to holistic academic governance. He has actively participated in quality assurance cells, civil maintenance oversight, and industry-academic partnerships. Through continuous engagement in teaching, mentoring, and strategic leadership, Dr. Singh has positioned himself as a forward-thinking educator dedicated to advancing technical education and nurturing academic excellence.

Research Focus 

Dr. Pushpendra Singh’s research focuses on power systems within the broader field of electrical engineering. His work explores areas such as industrial drives, smart grid technology, energy optimization, and power system stability. He is particularly interested in practical applications of electrical theory to address challenges related to energy efficiency, infrastructure performance, and automation. Through academic mentorship and participation in institutional innovation programs, he supports student-led research that emphasizes real-world problem-solving. His research approach bridges theoretical knowledge and applied engineering practices, contributing to advancements in sustainable energy systems and the development of intelligent power infrastructures.

Awards and Honors

Dr. Singh has earned recognition for his leadership and service across multiple levels of academic administration. His appointments to high-responsibility roles including Principal, Dean, Head of Department, and various coordinative and oversight positions reflect the trust and respect he commands within the academic community. Although specific awards are not detailed, his consistent involvement in quality assurance, student welfare, institutional planning, and professional societies such as IEEE highlight his professional standing. His ongoing leadership in innovation and governance is a testament to his contributions toward academic excellence, institutional progress, and the advancement of technical education.

Publication Top Notes

Title: Energy Management in Microgrids with Renewable Energy Sources and Demand Response
Year: 2023
Citation: 46

Title: Optimal Placement of Multiple Distributed Generators Using a Novel Voltage Stability Indicator Employing Arithmetic Optimization Algorithm
Year: 2023
Citation: 18

Title: Value Aided Optimal Load Shedding Accounting Voltage Stability Consideration Employing Crow Search Algorithm with Modification Based on Lampinen’s Criterion
Year: 2023
Citation: 11

Title: Modeling and Optimization of WEDM Machining of Armour Steel Using Modified Crow Search Algorithm Approach
Year: 2024
Citation: 7

Title: Voltage Profile Optimization Using Crow Search Algorithm Modified with Lampnien’s Criterion to Account Inequality Constraints
Year: 2024
Citation: 2

Title: Techno‐Economic Comparative Analysis of On‐Ground and Floating PV Systems
Year: 2024
Citation: 1

Title: Performance Evaluation of Submerged FSW for Aluminum 6061 Employing AOA-ANN Based on Experimental Data
Year: 2025
Citation: 1

Conclusion

Dr. Pushpendra Singh’s impactful research output, combined with his long-standing academic leadership, innovative thinking, and continuous contributions to real-world energy challenges, distinctly position him as a deserving recipient of the Best Researcher Award. His work not only enriches the academic community but also addresses critical technological and sustainability issues in contemporary power systems.

 

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. 🏆🌎🚙