Lecturer at Arba Minch University, Ethiopia

🌟 Simon Yishak Kolebaye is a passionate academic leader serving as a lecturer and Head of the Automotive Engineering Department at Arba Minch University, Ethiopia, since 2016. 🎓 He earned his BSc in Mechanical Engineering from Mizan Tepi University and an MSc in Manufacturing Engineering and Automation from Arba Minch University. 🛠️ With nine years of professional experience, Simon focuses on bridging academia and industry through innovative research, community engagement, and industry-technology transfer. 🚀 His expertise in advanced manufacturing and process optimization reflects his commitment to Ethiopia’s technological growth. 🌍

Publication Profile

scopus

Education🎓

MSc in Manufacturing Engineering and Automation (2021) – Arba Minch University BSc in Mechanical Engineering, Manufacturing Stream (2015) – Mizan Tepi University Specialized in advanced manufacturing, CNC technology, additive manufacturing, process planning, welding machines, and automation. 🤖 His academic training integrates engineering principles with cutting-edge technologies to enhance manufacturing systems. 🚀

Experience 📌

Head of Automotive Engineering Department at Arba Minch University (2016–present) Led department operations, curriculum development, and student mentorship. Coordinated research projects bridging academic solutions with industry needs. Actively engaged in teaching advanced manufacturing technologies, workshop technology, and process optimization. Contributed to community-focused projects, enhancing education and safety in Ethiopia.

Awards and Honors 🏆

Recognized for exceptional leadership in academic program management. Received grants for innovative research projects funded by Arba Minch University. Honored for community service initiatives improving local education and infrastructure. Acknowledged for excellence in publishing impactful research in advanced manufacturing.

Research Focus 🔬

Focused on additive manufacturing and process optimization for energy storage, graphene composites, and pipeline applications. Specialized in thermoplastic infill patterns, laser scanning for nickel alloys, and biocomposites. Worked on sustainability, utilizing waste-derived materials for manufacturing innovations. Published studies on CNC automation, rapid prototyping, and advanced manufacturing systems. Dedicated to developing scalable, eco-friendly, and cost-effective manufacturing solutions.

Publications 📖

1. Additive Manufacturing (3D Printing)

Graphene Enhanced PETG Optimization:

Title: Fused deposition modeling process parameter optimization on the development of graphene enhanced polyethylene terephthalate glycol

Journal: Scientific Reports (2024, 14(1), 30744)

Focus: Optimizing parameters for FDM using graphene-reinforced PETG.

Citations: 0

Graphene-Reinforced PETG Impeller Production:

Title: Optimizing additive manufacturing parameters for graphene-reinforced PETG impeller production: A fuzzy AHP-TOPSIS approach

Journal: Results in Engineering (2024, 24, 103018)

Focus: Application of multi-criteria decision-making tools for PETG optimization.

Citations: 4

Thermoplastic Polyurethane for Pipeline Applications:

Title: Analysis and Optimization of Thermoplastic Polyurethane Infill Patterns for Additive Manufacturing in Pipeline Applications

Journal: Advances in Polymer Technology (2024)

Focus: Infill pattern optimization in AM applications.

Citations: 0

2. Laser Manufacturing

Nickel-Based Superalloys:

Title: Role of laser power and scan speed combination on the surface quality of additive manufactured nickel-based superalloy

Journal: Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications (2024, 238(6), pp. 1142–1154)

Focus: Investigates laser parameters on the surface quality of nickel alloys.

Citations: 13

3. Composites and Biocomposites

Biocomposites of Jute/Bagasse/Coir/Nano TiO2:

Title: An Investigation on the Activation Energy and Thermal Degradation of Biocomposites of Jute/Bagasse/Coir/Nano TiO2/Epoxy-Reinforced Polyaramid Fibers

Journal: Journal of Nanomaterials (2022)

Focus: Studied thermal degradation of sustainable biocomposites.

Citations: 33

Conclusion

Mr. Simon Yishak demonstrates exceptional qualifications and expertise that align closely with the goals of the Research for Academic Excellence in Mechanics Award. His academic rigor, innovative research, and practical contributions to manufacturing engineering position him as a strong candidate for this prestigious recognition. By focusing on international collaborations, patent development, and expanding his research into emerging fields, Simon could further solidify his candidacy and amplify his contributions to the discipline.

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

Posted on 29/08/202429/08/2024 by ScienceFather

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

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

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.
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.
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.
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.
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

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.
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.
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.
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.

Xinyue Zhang | Solar energy | Best Researcher Award

Posted on 13/07/202413/07/2024 by ScienceFather

Ms. Xinyue Zhang | Solar energy | Best Researcher Award

Ms. Northwestern Polytechnical University, China

Xinyue Zhang is pursuing a Master of Engineering in Flexible Electronics at Northwestern Polytechnical University, Xi’an, China (Sep 2022 – Apr 2025) with a GPA of 88/100, ranking 11th out of 129 students. Their research focuses on the development and application of high-efficiency, flexible perovskite solar cells, supervised by Professor Yongguang Tu. They have led and contributed to multiple projects and publications, earning numerous awards, including the National Scholarship and the Graduate Innovation Fund Project. [Name] also actively participates in extracurricular activities, such as leading a team in the China International “Internet+” Competition, securing a National Gold Award.

Professional Profiles:

Scopus

🎓 EDUCATION

Northwestern Polytechnical University, Xi’an, China
Master of Engineering
📅 Sep. 2022 – Apr. 2025
🔬 Major: Flexible Electronics; GPA: 88/100 (11th/129)
📄 Thesis Title: Functional molecules regulate the semiconductor properties of lead halide perovskite and its photovoltaic devices
🧑‍🏫 Thesis Advisor: Yongguang TUShaanxi University of Science and Technology, Xi’an, China
Bachelor of Engineering
📅 Sep. 2018 – Jul. 2022
🔬 Major: Inorganic Non-metallic Materials Engineering

📚 RESEARCH PROJECTS

Efficient and Flexible Perovskite Solar Cells📅 Aug. 2023 – Present
🧑‍🏫 Tutor: Yongguang TU
Overview:
Researching the development of perovskite solar cells, emphasizing their high photoelectric (power) conversion efficiency, low cost, and flexibility. This project aims to fabricate flexible solar cells with high photoelectric conversion efficiency to promote the application of flexible perovskite solar cells in wearable devices, etc.
Responsibilities:Leading the project: conceptualization, conducting literature research, experimental planning, data analysis, and manuscript writing.Controlling the Orientation of Perovskite Crystal Planes to Obtain High-performance Perovskite Solar Cells📅 Sep. 2022 – Jun. 2024
🧑‍🏫 Tutor: Yongguang TU
Overview:
Using functional molecules to regulate the growth of crystal planes during the nucleation process of perovskite films to obtain efficient and stable perovskite solar cells. This project proposes a green process involving 2-pentanol solution bathing for perovskite fabrication.
Responsibilities:Self-driven and efficient in completing this research and publishing the article “Preferred Crystallographic Orientation via Solution Bathing for High-Performance Inverted Perovskite Photovoltaic” in Advanced Functional Materials.Preparation of Large-area Metal Halide Perovskite Solar Cells Based on Solution Bathing Technology📅 Jul. 2022 – May. 2023
🧑‍🏫 Tutor: Yongguang TU
Overview:
Employed solvent bathing and solution bathing methods for a controllable preparation of large-area and high-quality perovskite films.
Responsibilities:Self-motivated and efficient in completing this research and published the article “Large-Area Metal Halide Perovskite Photovoltaics Based on Solvent Bathing and Solution Bathing” in Solar RRL.Approved for the 2024 Graduate Innovation Fund Project at Northwestern Polytechnical University for the project “Preparation of large-area perovskite films in green solution bathing and its device performance research” (ongoing individual project).

👨‍🏫 INTERNSHIP EXPERIENCE

Flexible Electronics Research Institute of Northwestern Polytechnical University, Xi’an, China
Part-time Counselor
📅 Sep. 2023 – Jun. 2024
Responsibilities:Organizing academic discussions, activities, or extracurricular projects.Supervising students’ learning and life discipline.

🌟 EXTRA

The 9th China International “Internet+” Undergraduate Innovation and Entrepreneurship Competition
Team Leader
📅 Jun. 2023 – Dec. 2023
Overview:
Worked on the project themed “Shapable Flexible Large Area Perovskite Photovoltaic Devices”, aiming at the current photovoltaic market demand and future application scenarios.
Responsibilities:Undertook project concept planning, book writing and defense, PPT typesetting, and design modules.

🏆 HONORS AND AWARDS

Graduate Innovation Fund Project of Northwestern Polytechnical University (Apr. 2024)National Scholarship (Master’s) (Dec. 2023)”Star of Mass Entrepreneurship and Innovation” of Northwestern Polytechnical University (Dec. 2023)”Outstanding Graduate Student” of Northwestern Polytechnical University (Dec. 2023)First Class Academic Scholarship to Northwestern Polytechnical University (Dec. 2023)The 9th China International “Internet+” College Student Innovation and Entrepreneurship Competition National Gold Award (Dec. 2023)Outstanding Graduate of Shaanxi Province (Jun. 2022)National Scholarship (Undergraduate) (Dec. 2021)School-level “Merit Student” (Apr. 2021)University-level “Excellent Student Cadre” (Apr. 2021)

✍️Publications Top Note :

The Addition of Fluorine Atoms and Alkyl Chains to Aromatic Ligand Dipole for Enhancing Stability and Photoelectronic Properties of Formamidinium Perovskite Surfaces

Authors:
Yang, Q., Zhang, X., Wang, S., … Fang, W., Liu, B.

Journal:
Applied Surface Science, 2024, 659, 159925

Abstract:
Unavailable