Mr. Ismail ELABBASSI | Applied physics and engineering sciences | Best Researcher Award | 3233

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Mr.  Moulay Ismail University, Morocco

Elabbassi Ismail is a Doctoral student and Professor in Physical Sciences and Chemistry at the Faculty of Sciences and Technology, Errachidia, Morocco. With a Master’s degree in Solar Technologies and Sustainable Development, he is currently pursuing a Ph.D. in Science and Technology. His research focuses on hybrid storage systems, energy management strategies, microgrid stability, green hydrogen, fuel cell technologies, artificial intelligence, and IoT. Elabbassi has extensive teaching experience and has presented at international conferences. He is proficient in MATLAB/SIMULINK, AutoCAD, and various energy modeling tools. His diverse expertise spans academic research, energy systems, and technical training.

Professional Profiles:

Scopus

Elabbassi Ismail: Doctorant

Profil Elabbassi Ismail est doctorant et professeur en sciences physiques et chimiques à la Faculté des Sciences et Techniques d’Errachidia, Maroc. Titulaire d’un Master en Technologies Solaires et Développement Durable de l’Université Moulay Ismail de Meknès, il prépare actuellement un doctorat en sciences et techniques. Ses recherches portent sur la modélisation des systèmes de stockage hybrides, la gestion de l’énergie, la stabilité des micro-réseaux, l’hydrogène vert, les technologies de véhicules à pile à hydrogène, l’intelligence artificielle et l’internet des objets. 🌍🔬

Compétences

Communication : Écriture en français et en anglais 📝Outils : MATLAB/SIMULINK, AutoCAD, Caneco BT, Rhapsodie, PVsys, Trnsys, Méteonorm ⚙️Enseignement : Cours, travaux pratiques, et dirigés 📚Modélisation et Automatisation : Projets en énergie photovoltaïque, Arduino 🤖Rédaction Scientifique : Articles, rapportsCentres d’IntérêtSport 🏅Lecture de la littérature scientifique 📖Enseignement 👨‍🏫Voyage ✈️

Expérience Professionnelle

Conférences :IEEE International Conference on Circuit, Systems and Communication, 2024 📊International Conference on Artificial Intelligence in Cybersecurity and Sustainability, 2024 🤖International Conference on Electrical Systems & Automation, 2024 🔋International Conference on Artificial Intelligence and Smart Environment, 2022 🌟Enseignement :Cours de circuits électriques et électroniques, thermodynamique, algorithmique 💡

Evaluation for Researcher Award

Strengths for the Award

  1. Diverse Research Focus: Elabbassi Ismail has a wide range of research interests, including hybrid storage systems, energy management strategies, green hydrogen, fuel cell technologies, and the integration of AI and IoT. This breadth of focus demonstrates a comprehensive understanding of contemporary issues in applied physics and engineering sciences.
  2. Relevant Publications and Conferences: Ismail’s recent participation in high-profile conferences and contributions to scholarly papers reflect a commitment to advancing knowledge in his field. His presentations on topics such as neural networks for power management, machine learning for energy storage, and advanced fault detection showcase his expertise and active engagement in cutting-edge research.
  3. Advanced Technical Skills: His proficiency in tools such as MATLAB/SIMULINK, AutoCAD, and various energy modeling software highlights his technical capabilities. This skill set is crucial for developing and implementing innovative solutions in applied physics and engineering.
  4. Teaching and Mentorship: Ismail’s experience as a professor and involvement in teaching practical modules demonstrate his dedication to education and mentoring. His ability to convey complex concepts and guide students and projects adds significant value to his research profile.
  5. Professional Training and Certifications: His continued education through various training programs in MATLAB, Python, and other relevant areas shows a commitment to staying updated with the latest tools and techniques in his field.

Areas for Improvement

  1. Publication Impact: While Ismail has presented at several conferences and contributed to various papers, there is a need for more high-impact journal publications to further establish his research influence and reach a broader audience.
  2. Interdisciplinary Collaboration: Expanding collaborations with researchers from different disciplines could enhance the scope and impact of his research. Engaging with experts in complementary fields might lead to novel insights and more comprehensive solutions.
  3. Research Visibility: Increasing the visibility of his research through open-access publications or broader dissemination of findings could help in gaining wider recognition and citations.
  4. Project Management: Strengthening skills in project management and leadership could help in effectively managing larger research projects and securing funding for innovative research initiatives.

 

✍️Publications Top Note :

Evaluating and Comparing Machine Learning Approaches for Effective Decision Making in Renewable Microgrid Systems
Authors: Elabbassi, I., Khala, M., Elyanboiy, N., Eloutassi, O., El Hassouani, Y.
Journal: Results in Engineering, 2024, 21, 101888
Abstract: This study evaluates and compares various machine learning techniques for decision-making in renewable microgrid systems.
Citations: 5

Enhancing Surface Defect Detection in Solar Panels with AI-Driven VGG Models
Authors: Yanboiy, N.E., Khala, M., Elabbassi, I., Hassouani, Y.E., Messaoudi, C.
Journal: Data and Metadata, 2023, 2, 81
Abstract: The article discusses improvements in detecting surface defects in solar panels using VGG models driven by artificial intelligence.
Citations: 1

Conference Papers:

Neural Network for FCEVs and RM Power Management using V2G Technology
Authors: Elabbassi, I., Khala, M., El Yanboiy, N., Eloutassi, O., El Hassouani, Y.
Conference: International Conference on Circuit, Systems and Communication (ICCSC), 2024
Abstract: This paper explores the use of neural networks for managing power in Fuel Cell Electric Vehicles (FCEVs) and Renewable Microgrid (RM) systems using Vehicle-to-Grid (V2G) technology.
Citations: 0

Improving Solar Energy Monitoring: Advanced Deep Learning Predictive Model for Photovoltaic Power Generation
Authors: Khala, M., El Yanboiy, N., Elabbassi, I., El Hassouani, Y., Messaoudi, C.
Conference: International Conference on Circuit, Systems and Communication (ICCSC), 2024
Abstract: This conference paper presents an advanced deep learning model for predicting photovoltaic power generation.
Citations: 0

Advanced Intelligent Fault Detection for Solar Panels: Incorporation of Dust Coverage Ratio Calculation
Authors: Elyanboiy, N., Eloutassi, O., Khala, M., El Hassouani, Y., Messaoudi, C.
Conference: 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), 2024
Abstract: The paper details a method for fault detection in solar panels by incorporating dust coverage ratio calculations.
Citations: 0

Comparative Study of Machine Learning for Managing EV Energy Storage with Battery-Hydrogen Tank
Authors: Elabbassi, I., Elyanboiy, N., Khala, M., Eloutassi, O., Messaoudi, C.
Conference: Advances in Science, Technology and Innovation, 2024, pp. 215–221
Abstract: This paper provides a comparative study of machine learning techniques for managing energy storage in electric vehicles with battery-hydrogen tank systems.
Citations: 0

Adaptive Neural Fuzzy Inference System (ANFIS) in a Grid Connected-Fuel Cell-Electrolyser-Solar PV-Battery-Super Capacitor Energy Storage System Management
Authors: Elabbassi, I., Elyanboiy, N., Khala, M., Layti, M.B.M., Messaoudi, C.
Conference: Lecture Notes in Networks and Systems, 2023, 635 LNNS, pp. 138–143
Abstract: This conference paper discusses the use of Adaptive Neural Fuzzy Inference Systems (ANFIS) for managing energy storage systems that combine fuel cells, electrolyzers, solar PV, batteries, and super capacitors.
Citations: 2

IoT-Based Intelligent System of Real-Time Data Acquisition and Transmission for Solar Photovoltaic Features
Authors: Elyanboiy, N., Khala, M., Elabbassi, I., Eloutassi, O., Messaoudi, C.
Conference: Lecture Notes in Networks and Systems, 2023, 635 LNNS, pp. 559–565
Abstract: This paper presents an IoT-based intelligent system for real-time data acquisition and transmission related to solar photovoltaic systems.
Citations: 1

Conclusion

Elabbassi Ismail exhibits many strengths that make him a strong candidate for the Researcher Award. His diverse research interests, technical expertise, and dedication to teaching and continuous learning highlight his significant contributions to the fields of applied physics and engineering sciences. Addressing areas for improvement, such as increasing publication impact and expanding interdisciplinary collaborations, could further enhance his profile and influence. Overall, his achievements and ongoing efforts position him well for recognition in this prestigious award.