Oguzhan Yilmaz | Engineering | Best Researcher Award

Prof. Dr Oguzhan Yilmaz, Gazi University, Turkey

Professor Oğuzhan Yılmaz is a distinguished mechanical engineering expert specializing in machine elements, computer-aided design and manufacturing, and non-traditional manufacturing methods. He is a professor at Gazi University, Turkey, contributing extensively to research and education in advanced manufacturing. He completed his doctorate at the University of Nottingham, UK, further enhancing his expertise in manufacturing engineering and operations management. With a career spanning over two decades, he has held editorial roles in prestigious scientific journals and actively participates in peer reviewing for high-impact publications. His research focuses on innovative and sustainable manufacturing techniques, integrating modern computational tools into engineering solutions. Prof. Yılmaz has received multiple awards for his contributions to research, peer reviewing, and academic leadership. He continues to influence the global engineering community through his editorial work, research collaborations, and mentorship of future engineers. His dedication to advancing mechanical engineering makes him a key figure in the field.

Publication Profile

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Education

Professor Oğuzhan Yılmaz holds a Doctorate (2002-2006) from the University of Nottingham, UK, where he specialized in Manufacturing Engineering and Operations Management, focusing on advanced production techniques. He completed his Postgraduate studies (1997-1999) at Gaziantep University, Turkey, in the Faculty of Engineering, Department of Mechanical Engineering (English), where he specialized in mechanical system design and material processing. His academic journey began with a Bachelor’s degree (1992-1997) from the same institution, where he built a strong foundation in mechanical systems, machine elements, and computational engineering. With a career spanning international institutions and advanced research in manufacturing and mechanical design, he has demonstrated a strong commitment to innovation, sustainability, and technological advancements in mechanical engineering. His diverse educational background has equipped him with the expertise to contribute significantly to the field of advanced manufacturing and engineering solutions.

Experience

Professor Oğuzhan Yılmaz is a distinguished faculty member at Gazi University, Turkey, where he leads research and teaches courses in mechanical design, manufacturing, and computational engineering. His expertise extends beyond academia, as he plays a significant role in the scientific publishing community, holding editorial positions in SCI-indexed journals, including the Journal of Materials Processing Technology and the International Journal of Advanced Manufacturing Technology. Since 2021, he has been a committee member for the Journal of Additive Manufacturing Technology, contributing to advancements in additive and digital manufacturing. He has also served as Assistant Editor/Section Editor (2017-Present) for Makina Tasarım ve İmalat Dergisi and as First Editor (2015-Present) for the Journal of the Faculty of Engineering and Architecture of Gazi University. Additionally, he collaborates with international institutions to drive innovation in manufacturing technologies and automation, further cementing his influence in the modern engineering landscape.

Awards & Honors

Professor Oğuzhan Yılmaz has received numerous accolades for his outstanding contributions to engineering research, particularly in mechanical design and advanced manufacturing. He has been honored with the Outstanding Contribution to Engineering Research Award for his pioneering studies that have significantly influenced the field. His dedication to academic publishing and peer review has earned him the Top Reviewer Award, recognizing his excellence in evaluating manuscripts for leading SCI-indexed journals. Additionally, he has received the Editorial Excellence Award for his significant contributions to journal editing and manuscript evaluation. His innovative research has been acknowledged with the Best Research Paper Award, highlighting his groundbreaking work in manufacturing technologies. As a dedicated educator, he has also been recognized with the Distinguished Faculty Award, celebrating his exceptional teaching, mentorship, and academic leadership. His achievements underscore his commitment to research innovation, scholarly contributions, and academic excellence in mechanical engineering.

Research Focus

Professor Oğuzhan Yılmaz’s research spans several critical areas in mechanical and manufacturing engineering, with a strong emphasis on innovation and sustainability. His expertise in Machine Elements involves the advanced design and analysis of mechanical components for industrial applications, optimizing performance and durability. He is also deeply involved in Computer-Aided Design and Manufacturing (CAD/CAM), where he integrates software tools to enhance precision engineering and automation. His work in Non-Traditional Manufacturing Methods explores innovative fabrication techniques beyond conventional machining, pushing the boundaries of modern engineering. Additionally, his research in Advanced Manufacturing Technologies focuses on high-precision, cost-effective production methodologies that drive industrial efficiency. With a commitment to Sustainable Engineering Solutions, he develops environmentally friendly and energy-efficient manufacturing processes. His research aims to redefine modern manufacturing by seamlessly integrating automation, sustainability, and precision engineering to meet the evolving demands of the industry.

Publication Top Notes

📜Wire Arc Additive Manufacturing (Metal Inert Gas-Cold Metal Transfer) of ER70S-6: Experimental and Computational Analysis on Process, Microstructure, and Mechanical Property Relationships
🔥 Thermal Behavior in Wire Arc Additive Manufacturing: A Comparative Study of the Conventional Process and Infrared Heater Use
🔬 Surface Characteristics of Additively Manufactured γ-TiAl Intermetallic Alloys Post-Processed by Electrochemical Machining
⚙️ Directed Energy Deposition of PH 13–8Mo Stainless Steel: Microstructure and Mechanical Property Analysis
💡 Enhancement of Surface Characteristics of Additively Manufactured γ-TiAl and IN939 Alloys after Laser Shock Processing
🛠️ Influence of Laser Polishing Process Parameters on Surface Integrity and Morphology of Ti-6Al-4V Parts Produced via Electron Beam Melting
🔍 Electrochemical Machining of Additively Manufactured γ-TiAl Parts: Post-Processing Technique to Reduce Surface Roughness
📏 A Deposition Strategy for Wire Arc Additive Manufacturing Based on Temperature Variance Analysis to Minimize Overflow and Distortion
🔥 The Effect of Evaporation and Recoil Pressure on Energy Loss and Melt Pool Profile in Selective Electron Beam Melting
🧪 Computational Evaluation of Temperature-Dependent Microstructural Transformations of Ti-6Al-4V for Laser Powder Bed Fusion Process
🔬 Micromechanical Characterization of Additively Manufactured Ti-6Al-4V Parts Produced by Electron Beam Melting
🌡️ Volumetric Heat Source Model for Laser-Based Powder Bed Fusion Process in Additive Manufacturing
📐 Radially Graded Porous Structure Design for Laser Powder Bed Fusion Additive Manufacturing of Ti-6Al-4V Alloy
💎 Surface Characteristics of Laser Polished Ti-6Al-4V Parts Produced by Electron Beam Melting Additive Manufacturing Process
🛠️ Wire Arc Additive Manufacturing of High-Strength Low Alloy Steels: Study of Process Parameters and Their Influence on the Bead Geometry and Mechanical Characteristics

Assoc Prof Dr. Dalal Bayahia | Environmental Science | Best Researcher Award

Researcher at umm Alqura university, Saudi Arabia

Dalal Bayahia is a dedicated and skilled physicist with a Bachelor of Science degree in Physics from the University College in Al-Qunfudhah, Umm Al-Qura University, Makkah, Saudi Arabia. Since 2016, she has been actively involved in physics research at the university, where she has demonstrated a strong knowledge of physics principles and theories. Her practical skills include conducting scientific experiments, analyzing data, and using various laboratory equipment and instruments. Dalal’s excellent mathematical and analytical abilities enable her to solve complex problems in physics. She is proficient in scientific programming languages like Python, enhancing her ability to perform data analysis and simulation tasks. Additionally, Dalal possesses exceptional written and verbal communication skills, making her adept at presenting research findings and collaborating with other researchers. Her ability to work both independently and collaboratively in a team highlights her adaptability and versatility in diverse research settings.

Education:

Dalal Bayahia earned her Bachelor of Science degree in Physics from the University College in Al-Qunfudhah, Umm Al-Qura University, Makkah, Saudi Arabia, with a very good academic standing. This accomplishment signifies her dedication to the field of physics and her commitment to academic excellence. During her studies, she would have gained a strong foundation in various branches of physics, including classical mechanics, electromagnetism, quantum mechanics, and thermodynamics. Additionally, she likely developed analytical and problem-solving skills, which are essential for a career in physics or any field that requires critical thinking and scientific reasoning. Her education would have also included practical laboratory work, providing her with hands-on experience in conducting experiments and analyzing data. Overall, her educational background prepares her well for further studies or a professional career in physics or related fields.

📝Professional Experience:

Since 2016, Dalal Bayahia has been actively engaged as a researcher in the Department of Physics at University College in Al-Qunfudhah, Umm Al-Qura University, Makkah, Saudi Arabia. In this role, she likely conducts research in various areas of physics, possibly focusing on specific topics or projects within her field of expertise. As a researcher, she would be expected to contribute to the advancement of knowledge in physics through experimentation, data analysis, and academic writing. Her work may involve collaborating with other researchers, presenting findings at conferences, and publishing research papers in scientific journals. This experience would have provided her with valuable insights into the research process and further honed her skills in scientific inquiry and analysis.

🛠️ Skills:

Dalal Bayahia’s skills are well-rounded and tailored to her field of physics. Her strong foundation in physics principles and theories allows her to navigate complex concepts with ease. This knowledge is complemented by her proficiency in conducting scientific experiments and analyzing data, indicating her practical experience in research. Her familiarity with various laboratory equipment and instruments further showcases her hands-on expertise in experimental physics. Additionally, her excellent mathematical and analytical skills equip her to tackle challenging problems in physics and related disciplines effectively. Dalal’s proficiency in scientific programming languages like Python enhances her ability to handle data analysis and simulation tasks, which are integral to modern physics research. Moreover, her exceptional written and verbal communication skills enable her to effectively communicate her findings and collaborate with peers in the scientific community. Her ability to work both independently and collaboratively in a team underscores her adaptability and versatility, essential traits for success in research environments.

Publications :

Title: Spectroscopic and electrical changes in Lr-115 type II nuclear track detector before and after gamma radiation

Author: D.S. Bayahia

Journal: Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms

Year: 2024

Volume: 547

Citations: 0

Title: Dopant concentration influence on the optical properties of NiO thin films doped by Al and Nb deposited by DC and RF magnetron sputtering

Authors: D. Bayahia, W. Shirbeeny

Journal: Surface and Interface Analysis

Year: 2022

Volume: 54

Issue: 10

Pages: 1078–1086

Citations: 0