Hafsa Abbade | Energy | Best Scholar Award

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Ms. Hafsa Abbade | Energy | Best Scholar Award

Hafsa Abbade at ISA Laboratory, National School of Applied Sciences (ENSA), Ibn tofail university, Morocco

Hafsa Abbade is a Doctoral Researcher and State Engineer in Electrical Engineering with a specialization in Renewable Energy. Passionate about sustainable technologies and smart systems, she combines rigorous academic training with hands-on project experience in automation, intelligent energy systems, and robotics. With a strong command of programming, simulation tools, and embedded systems, she actively contributes to research in hydrogen-based electric vehicles and energy management systems.

Professional Profile:

Orcid Profile

Education Background

  • Doctorate in Electrical Engineering (Ongoing since Nov. 2024)
    Laboratoire des systèmes avancés (ISA), ENSA Kenitra
    Research Topic: Intelligent energy control and management system for hydrogen electric vehicles

  • State Engineer’s Degree in Electrical Engineering – Renewable Energies (2021–2024)
    ENSA Kenitra
    Graduation Project: Automation and supervision of a pumping station with ISPSoft/DOPSoft

  • Integrated Preparatory Classes for Engineering (2019–2021)
    ENSA Kenitra

  • Baccalaureate in Physical Sciences – French Option (2018–2019)
    Lycée MOHAMED V, Kenitra

Professional Development

  • Doctoral Research & Teaching Assistant in Electrical Engineering (Nov. 2024 – Present)
    ENSA Kenitra – ISA Lab
    Research on intelligent control systems for hydrogen vehicles.

  • Final Year Internship (Feb. – June 2024)
    POWER INTEGRATION, Casablanca
    Automated and supervised a large-scale pumping station.

  • Engineering Intern (July – Sept. 2023)
    CEGELEC VINCI Energies, Casablanca
    Designed electrical systems for CLUB MED Marrakech: power studies, cable routing, and transformer selection.

  • Technical Intern (July – Aug. 2022)
    ONCF (Moroccan National Railway Office)
    Observational training on LGV substations and energy efficiency.

Research Focus

  • Intelligent energy management systems

  • Hydrogen and fuel cell electric vehicles

  • Automation and control systems

  • Renewable energy systems (solar, wind)

  • IoT and smart robotics integration in energy

Author Metrics:

Hafsa Abbade is an emerging researcher in the field of electrical engineering with a particular focus on intelligent systems for energy management. Her academic contributions are beginning to gain visibility in indexed repositories such as Web of Science and other scholarly databases. She has authored and co-authored early-stage research outputs including technical dissertations and preprints centered on renewable energy integration and hydrogen fuel cell systems. As her doctoral research progresses, she aims to publish in high-impact journals and international conferences to strengthen her research visibility and citation profile. Her research dissemination strategy includes participation in scientific workshops, co-authored publications, and collaborative research dissemination through institutional platforms.

Awards & Honors

3rd Place, National Competition – JobItDay "AI for Humanity" (2023)

Research Skills

Hafsa’s research skills span renewable energy systems, electric machine control, automation, and IoT-based smart solutions. She is proficient in MATLAB/Simulink, PVsyst, ISPSoft, Arduino, and R programming. Her work includes AI-integrated robotics, smart irrigation, and data-driven energy analysis. She is also experienced in scientific writing, statistical modeling, and bibliometric research using tools like the Web of Science.

Publication Top Notes

Deep Learning-Based Performance Modeling of Hydrogen Fuel Cells Using Artificial Neural Networks: A Comparative Study of Optimizers

  • Authors: Hafsa Abbade, Hassan El Fadil, Abdellah Lassioui, Abdessamad Intidam, Ahmed Hamed, Yassine El Asri, Abdelouahad Fhail, Anwar Hasni

  • Journal: Processes

  • Volume: 13

  • Issue: 5

  • Article Number: 1453

  • Publication Date: May 9, 2025

  • DOI: 10.3390/pr13051453

  • Publisher: Multidisciplinary Digital Publishing Institute (MDPI)

.Conclusion:

Ms. Hafsa Abbade is a promising and well-deserving candidate for the Best Scholar Award in Energy. Her technical versatility, impactful early research, and strong focus on hydrogen fuel cell technologies place her at the forefront of next-generation energy research. With her ongoing doctoral work, she is expected to make significant academic and practical contributions to the field of renewable energy and smart systems.

MD Tanvir Rahman | Renewable energy | Best Researcher Award

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Mr. MD Tanvir Rahman | Renewable energy | Best Researcher Award

MD Tanvir Rahman, American International University – Bangladesh, Bangladesh

🎓 Md Tanvir Rahman is a dynamic Electrical and Electronic Engineering graduate from AIUB, Bangladesh 🇧🇩, with a stellar academic record and a passion for innovation in renewable energy ⚡, VLSI design 💻, and embedded systems 🤖. With hands-on experience in FPGA programming, sensor integration, and power systems, he has led impactful student initiatives, authored numerous publications 📚, and presented at international conferences 🌍. His vision blends technology and sustainability 🌱, making him a rising star in green engineering and smart solutions. A natural leader and lifelong learner 🌟, Tanvir is committed to shaping a smarter, cleaner future through research and development. 🔬

Professional Profile:

Scopus

Suitability For Best Researcher Award

Md Tanvir Rahman is a highly suitable candidate for the Best Researcher Award due to his remarkable academic achievements, innovative research contributions, and leadership in the field of Electrical and Electronic Engineering. His expertise spans renewable energy, VLSI design, smart grid technology, and embedded systems, positioning him as a promising researcher and future leader in green engineering and sustainable technology.

🔹 Education & Experience 

🎓 Education:

  • 🧠 B.Sc in EEE – AIUB (2025) | CGPA: 3.93 ⭐

  • ⚙️ Diploma in Mechatronics Engineering – Magura Polytechnic Institute (2020) | CGPA: 3.77

  • 📘 SSC in Science – Bheramara Pilot High School (2015) | CGPA: 4.39

💼 Experience:

  • 🚧 Internship: Energypac Power Generation PLC (Diesel Generator & ATS), Feb 2025

  • 🦺 Safety Training: Samsung C&T Safety Academy

  • 📢 Team Lead: IEEE AIUB Student Branch (Mar 2022 – Sept 2023)

🔹 Professional Development

🌱 Tanvir Rahman has actively pursued professional growth through internships, workshops, and leadership roles. His technical exposure spans Arduino programming 🤖, VLSI design using Cadence 🧩, and IoT integration for real-world solutions 🌐. As team lead of IEEE AIUB Student Branch, he orchestrated large-scale events, fostering academic-industry collaboration 🤝. Tanvir has completed training in AI 🤖, nanotechnology 🧪, and safety protocols 🚧, showcasing his well-rounded skill set. His passion for sustainable technology, teamwork, and public speaking 🎤 has helped him build a solid foundation in both technical and leadership domains. He continues to explore new tools and ideas to stay future-ready 🚀.

🔹 Research Focus Category 

🔬 Tanvir Rahman’s research focus lies in Renewable Energy Systems 🌞, Smart Grid Technology ⚡, and VLSI-based Digital Design 💻. His projects explore underwater robotics 🤿, wireless power transmission 🔋, and intelligent automation systems using sensors and microcontrollers 🧠. He integrates AI 🧠 and fuzzy logic into power systems for better voltage regulation and environmental sustainability 🌍. His current capstone research on Unmanned Underwater Vehicles 🌊 merges object detection, 3D mapping, and ecological monitoring. His work reflects a drive to blend hardware-software systems with smart, energy-efficient solutions 🔧, contributing toward greener, smarter infrastructures 🌱.

🔹 Awards and Honors

🏆 Awards & Honors:

  • 🥇 Best Paper Award – Bio Web Conference & ICREST 2025

  • 🌐 International Conference Presenter – Recognized for communication excellence

  • 🧑‍💼 Leadership & Mentorship – IEEE AIUB Student Branch, Team Lead

  • 🧠 Published 22+ Conference Papers in Renewable Energy & Power Systems

  • 🥈 High CGPA Holder – AIUB & Diploma Level

  • 🤝 Secured Sponsorships & Collaborations – IEEE AIUB Events

Publication Top Notes:

Title: Perspectives and Pathways to a Carbon-free Advanced Power Network (CAPN) in Bangladesh for Sustainable Development
Journal: Cleaner Energy Systems
Publication Year: 2025
Authors: A. Shufian, M. Tanvir Rahman, S.K. Shib, N. Mohammad, M.A. Mannan

🔍 Summary in Simple Terms:

This article explores sustainable energy solutions for Bangladesh, specifically focusing on developing a Carbon-free Advanced Power Network (CAPN). The goal is to transition towards clean energy and reduce carbon emissions, which are crucial for tackling climate change and ensuring a sustainable future.

Conclusion:

Md Tanvir Rahman is a highly deserving candidate for the Best Researcher Award. His contributions to renewable energy systems and smart grid technology, combined with his leadership role in IEEE AIUB and his innovative research on underwater robotics, showcase his dedication to both technological innovation and sustainability. Tanvir’s commitment to blending hardware and software solutions to create smarter, greener infrastructures makes him a promising researcher, poised to make significant contributions in the years to come.

Yibao Jiang | Electric Power and Energy Network | Best Researcher Award

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Assist. Prof. Dr. Yibao Jiang | Electric Power and Energy Network | Best Researcher Award

Assistant Professor at Shandong University, China📖

Dr. Yibao Jiang is an Assistant Professor at the School of Electrical Engineering, Shandong University, China. He specializes in power system optimization, renewable power integration, and artificial intelligence applications in energy systems. His research primarily focuses on the operational optimization of renewable energy systems, the integration of renewable power, and multi-energy synergies. Dr. Jiang has also contributed to the development of energy optimization tools and AI-enabled solutions in the power sector.

Profile

Scopus Profile

Orcid Profile

Google Scholar Profile

Education Background🎓

Dr. Yibao Jiang completed his Ph.D. in Electrical Engineering at Zhejiang University, China, in June 2020, where he focused on coordinated operation of district integrated energy systems with uncertainties. Prior to that, he earned his Bachelor’s degree in Electrical Engineering from the same institution in 2015, graduating with top honors and a GPA of 3.98/4.0, ranking 1st in his class.

Professional Experience🌱

Dr. Jiang is currently an Assistant Professor at Shandong University (2022–present), where his work revolves around power system optimization and the integration of renewable energy. He has also worked as a Research Scientist at Meituan (2020–2022) and as a Research Intern at Alibaba (2019), focusing on online promotions and energy management. Additionally, he has held positions as a Visiting Graduate at MIT’s LIDS and has collaborated with various institutions like the State Grid Economic and Technological Research Institute.

Research Interests🔬

Dr. Jiang’s research interests include the optimization and control of renewable-dominated electric power systems, artificial intelligence for energy systems, and multi-energy synergy for renewable power integration. His work combines optimization, machine learning, and control theory to improve the efficiency and reliability of energy systems, particularly in the context of integrating renewable energy and managing uncertainties.

Author Metrics

Dr. Jiang has published extensively in top-tier conferences and journals, including the IEEE Power & Energy Society General Meeting and the IEEE Transactions on Power Systems. He has authored numerous conference papers, some of which have won awards such as the Best Paper Award at the IEEE Power & Energy Society General Meeting in 2019. His work has garnered significant attention in the academic community, and he has mentored several graduate theses on energy optimization and digital twin systems.

Publications Top Notes 📄

1. Stochastic Receding Horizon Control of Active Distribution Networks with Distributed Renewables

  • Authors: Y. Jiang, C. Wan, J. Wang, Y. Song, Z.Y. Dong
  • Journal: IEEE Transactions on Power Systems
  • Volume: 34, Issue: 2, Pages: 1325-1341
  • Year: 2018
  • Citations: 102
  • Summary: This paper presents a stochastic receding horizon control (SRHC) strategy for active distribution networks that integrate distributed renewable energy sources. The method focuses on improving the operational flexibility of distribution systems and enhancing the integration of renewable generation by considering uncertainties in renewable generation and demand.

2. A Hybrid Stochastic-Interval Operation Strategy for Multi-Energy Microgrids

  • Authors: Y. Jiang, C. Wan, C. Chen, M. Shahidehpour, Y. Song
  • Journal: IEEE Transactions on Smart Grid
  • Volume: 11, Issue: 1, Pages: 440-456
  • Year: 2019
  • Citations: 93
  • Summary: This work develops a hybrid stochastic-interval operation strategy for multi-energy microgrids, considering both stochastic and interval-based uncertainties. The strategy optimizes the scheduling of generation, storage, and consumption in multi-energy microgrids, with the goal of improving system reliability and efficiency while minimizing operational costs.

3. Exploiting Flexibility of District Heating Networks in Combined Heat and Power Dispatch

  • Authors: Y. Jiang, C. Wan, A. Botterud, Y. Song, S. Xia
  • Journal: IEEE Transactions on Sustainable Energy
  • Volume: 11, Issue: 4, Pages: 2174-2188
  • Year: 2019
  • Citations: 78
  • Summary: This paper investigates the flexibility of district heating networks in optimizing the combined heat and power (CHP) dispatch. By exploiting the thermal storage and flexibility within district heating systems, the authors propose a method for improving the operational efficiency of CHP units and reducing fuel consumption in energy systems with high heat demand.

4. Convex Relaxation of Combined Heat and Power Dispatch

  • Authors: Y. Jiang, C. Wan, A. Botterud, Y. Song, M. Shahidehpour
  • Journal: IEEE Transactions on Power Systems
  • Volume: 36, Issue: 2, Pages: 1442-1458
  • Year: 2020
  • Citations: 53
  • Summary: This paper explores the convex relaxation techniques to solve the combined heat and power (CHP) dispatch problem. The authors propose a convex relaxation approach to deal with the non-convexity of CHP dispatch problems, which significantly improves the computational efficiency while providing near-optimal solutions for large-scale systems.

5. Distributed Control of Multi-Energy Storage Systems for Voltage Regulation in Distribution Networks: A Back-and-Forth Communication Framework

  • Authors: P. Yu, C. Wan, Y. Song, Y. Jiang
  • Journal: IEEE Transactions on Smart Grid
  • Volume: 12, Issue: 3, Pages: 1964-1977
  • Year: 2020
  • Citations: 52
  • Summary: This paper develops a distributed control framework for multi-energy storage systems to address voltage regulation challenges in distribution networks. The proposed back-and-forth communication method allows energy storage systems to coordinate their responses efficiently, improving voltage stability and reducing power loss in distribution networks.

Conclusion

Dr. Yibao Jiang is a highly accomplished researcher whose work in renewable energy integration, optimization strategies, and AI applications has made significant contributions to the field of electrical engineering and energy systems. His research has a high potential for real-world impact, particularly in improving the efficiency of renewable energy systems and the integration of multiple energy sources. While his work is already exemplary, expanding the practical implementation and interdisciplinary collaborations could further enhance his already impressive career. Given his innovative contributions, extensive publication record, and academic recognition, Dr. Jiang is a deserving candidate for the Best Researcher Award in the energy systems and renewable energy research domain.