ERHAN BAYSAL | Mechanical Engineering | Best Researcher Award

Posted on by ScienceFather

Mr. ERHAN BAYSAL |  Mechanical Engineering | Best Researcher Award

Lecturer at Laser Research Centre, Zonguldak Bülent Ecevit Üniversitesi, China

Erhan Baysal is a Lecturer at Bülent Ecevit University, specializing in Mechanical Engineering. With a strong background in materials science and manufacturing processes, particularly in friction welding, he has contributed to numerous academic publications. His academic journey spans various prestigious institutions, and he actively participates in research and academic projects related to material behavior, mechanical design, and welding technologies. 📚🔧👨‍🏫

Profile

scholar

Education 🎓

Master’s in Mechanical Engineering, Bülent Ecevit University, 2019 🎓Bachelor’s in Mechanical Engineering, Fırat University, 2013

Experience 🏫💻

Lecturer, Bülent Ecevit University, 2016–present 🎓Researcher in national projects on manufacturing processes 🛠️Instructor in various courses including Strength of Materials and Manufacturing Processes

Awards and Honors 🏆

Contributor to several peer-reviewed articles in international journalsPublished in prestigious conferences and journals on materials and welding technologies 📑Awarded for his contribution to applied research in friction welding and mechanical design 🌍

Research Focus🔬🔩

Erhan Baysal’s research focuses on materials science, particularly the mechanical behavior and welding of aluminum alloys using friction stir welding. He also explores deformation processes in material shaping and manufacturing optimization.

Publication  Top Notes

An Overview of Deformation Path Shapes on Equal Channel Angular Pressing” (2022)

Authors: E. Baysal, O. Koçar, E. Kocaman, U. Köklü

Journal: Metals 12 (11), 1800

Summary: This paper discusses the deformation paths formed during equal channel angular pressing (ECAP). The study focuses on how different processing parameters, such as the angle of the channels, affect the microstructure and mechanical properties of the material.

“Mechanical Behavior of a Friction Welded AA6013/AA7075 Beam” (2022)

Authors: O. Koçar, M. Yetmez, E. Baysal, H.A. Ozyigit

Journal: Materials Testing 64 (2), 284-293

Summary: This research investigates the mechanical properties of beams made from AA6013 and AA7075 aluminum alloys joined via friction welding. The study examines the mechanical behavior of the weld joint, focusing on parameters such as strength, hardness, and fracture toughness.

“A New Approach in Part Design for Friction Stir Welding of 3D-Printed Parts with Different Infill Ratios and Colors” (2024)

Authors: O. Koçar, N. Anaç, E. Baysal

Journal: Polymers 16 (13), 1790

Summary: This paper introduces a novel approach to part design for friction stir welding (FSW) of 3D-printed parts. The study evaluates how different infill ratios and colors in 3D printing affect the welding process, quality, and mechanical properties of the final product.

“Eşit Kanallı Açısal Presleme Yönteminde Kanal Açılarının ve İç Köşe Kavisinin Deformasyona Etkisinin Sonlu Elemanlar Metodu ile İncelenmesi” (2023)

Authors: E. Baysal, O. Koçar, N. Anaç, F. Darıcı

Journal: Çukurova Üniversitesi Mühendislik Fakültesi Dergisi 38 (3), 859-873

Summary: This paper investigates the effect of channel angles and inner corner radii on deformation during equal channel angular pressing (ECAP) using finite element method (FEM) simulations. The research provides insights into how these factors influence material flow and structural integrity.

“Görüntü İşleme Teknikleri ile Rulo Sac Hassas Doğrultmada Silindir Konumlarının Belirlenmesi” (2021)

Authors: O. Koçar, S. Dikici, H. Uçar, E. Baysal

Journal: El-Cezeri 8 (2), 604-617

Summary: This article explores the use of image processing techniques to determine the cylinder positions in precision flattening of rolled sheets. The study demonstrates how computer vision can enhance manufacturing processes, particularly in achieving high precision in material deformation.

“3B Yazıcıda Üretilen Plakaların Sürtünme Karıştırma Kaynak Parametrelerinin YSA ile Tahmini” (2024)

Authors: N. Anaç, O. Koçar, E. Baysal

Journal: Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 13 (1), 176-187

Summary: This paper presents a prediction model using artificial neural networks (ANN) to estimate the parameters for friction stir welding of 3D-printed plates. The research focuses on optimizing welding conditions to improve the quality and strength of the welded joints.

“Etial 180 Alaşımına İlave Edilen Bakırın Mikroyapı, Sertlik ve Korozyon Üzerindeki Etkisi” (2023)

Authors: E. Kocaman, E. Baysal, O. Koçar, A.S. Güldibi, S. Şirin

Journal: Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi 12 (2), 604-611

Summary: This study investigates the impact of adding copper to Etial 180 alloy, focusing on its effect on microstructure, hardness, and corrosion resistance. The findings highlight the potential improvements in material properties when copper is incorporated into the alloy.

“Barkhausen Noise as A Magnetic Nondestructive Testing Technique”

Authors: Ö. Adanur, O. Koçar, A.S. Güldibi, E. Kocaman, E. Baysal

Journal: Black Sea Journal of Engineering and Science 7 (4), 7-8

Summary: The paper explores the use of Barkhausen noise as a nondestructive testing (NDT) technique to assess the magnetic properties of materials. This method is useful in evaluating the integrity and structural health of components without causing damage.

“AA6013/AA7075 Alüminyum Malzemelerin Sürtünme Kaynağı Yöntemiyle Birleştirilmesi ve Analizi”

Authors: E. Baysal, O. Koçar, M. Yetmez, H.A. Ozyigit

Summary: This research focuses on the friction stir welding (FSW) of AA6013 and AA7075 aluminum alloys, analyzing the mechanical properties, microstructure, and joint quality achieved by this welding method.

Conclusion

Erhan Baysal has shown exceptional dedication to advancing mechanical engineering through his research and teaching. His focus on cutting-edge manufacturing technologies, coupled with his broad publication history, makes him a strong candidate for the Best Researcher Award. With further interdisciplinary integration and industry collaborations, he could significantly elevate the practical applications of his research, solidifying his role as a leading figure in the field. His ongoing work promises to continue shaping the future of mechanical engineering.

Abid Afsan Hamid | Engineering | Best Researcher Award

Posted on by ScienceFather

Mr. Abid Afsan Hamid | Engineering | Best Researcher Award

Part Time Lecturer at Khulna University, Bangladesh

Abid Afsan Hamid is a passionate and dedicated scholar from Jashore, Bangladesh. Born on July 10, 1999, he is currently pursuing his MSc in Computer Science and Engineering at Khulna University, where he maintains a perfect CGPA of 4.00. Abid is known for his quick learning abilities and thrives under pressure, making him a valuable asset in any research team. His research interests lie in artificial intelligence and software engineering, particularly focusing on software evolution and maintenance. With a solid academic foundation, he aims to contribute significantly to the field of computer science.

Publication Profile

scholar

Education📚

Abid completed his BSc in Computer Science and Engineering at Khulna University, graduating with distinction and a CGPA of 3.86. He is currently pursuing an MSc at the same institution, achieving a remarkable CGPA of 4.00 over two terms. Prior to his university education, Abid excelled in his Higher Secondary Certificate (HSC) with a GPA of 5.00 and similarly achieved a GPA of 5.00 in his Secondary School Certificate (SSC). His strong academic performance reflects his dedication and commitment to his studies.

Experience 💼🔍

Abid has significant research experience through his undergraduate and graduate theses. His undergraduate thesis focused on software engineering, proposing a Composite Ranking mechanism for co-change candidates using programmer sensitivity. In his graduate thesis, he improved the suggestion-making accuracy of the FLeCCS technique by integrating semantics, resulting in a new model called iFLeCCS. Abid’s hands-on approach to research has equipped him with practical skills in software development and analysis, making him proficient in addressing real-world software challenges.

Awards and Honors🏆

Abid has consistently demonstrated academic excellence throughout his educational journey, earning recognition for his outstanding performance. His distinction in the BSc program at Khulna University is a testament to his hard work and dedication. Additionally, his contributions to software engineering research have been acknowledged by his professors and peers, further establishing his reputation as an emerging talent in the field. Abid’s commitment to continuous learning positions him for future accolades and achievements. 🏅🎖️

Research Focus🤖💻

Abid’s research interests lie primarily in artificial intelligence and software engineering, with a particular focus on software evolution and maintenance. His work aims to enhance software systems’ adaptability and functionality through innovative methodologies, such as the development of the iFLeCCS model. By combining theoretical insights with practical applications, Abid seeks to contribute to advancements in the field of software engineering, ultimately improving the efficiency and reliability of software systems.

Publication  Top Notes

Title: Ranking co-change candidates suggested by FLeCCS using programmer sensitivity

Authors: AA Hamid, MF Haque, M Mondal

Journal: Science of Computer Programming

Volume: 240

Article Number: 103216

Year of Publication: 2025

Conclusion

Abid Afsan Hamid demonstrates significant promise as a researcher in the field of computer science and engineering. His academic excellence, coupled with innovative research in software engineering, positions him as a strong candidate for the Best Researcher Award. While there are areas for improvement, particularly in expanding his research experience and publication record, his commitment to continuous learning and impressive academic achievements strongly support his candidacy. With further development and broader engagement in the research community, Abid is poised to make impactful contributions to the field of computer science.

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

Posted on by ScienceFather
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.