Oguzhan Yilmaz | Engineering | Best Researcher Award

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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

google scholar

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

Ismail Fidan | Engineering | Innovative Research Award

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Ismail Fidan | Engineering | Innovative Research Award

Dr Ismail Fidan, Tennessee Tech University, United States

Dr. I. Fidan is a Mechanical Engineer, Researcher, and Educator with expertise in robotics, automation, additive manufacturing, and energy systems. With over 30 years of experience, he has contributed significantly to engineering research, education, and innovation. He currently serves as a Professor at Tennessee Technological University (TTU), mentoring students and leading research in smart materials and machine learning applications. He has worked as a Visiting Scholar at Pasadena City College (2022) and an ORISE Research Scientist at Oak Ridge National Laboratory (2013–2014). Dr. Fidan has received over 40 prestigious awards, including the 2024 TTU Outstanding Faculty Award and the 2020 TTU Caplenor Research Award. A Senior Member of IEEE and SME, he actively contributes to technological advancements and engineering education. His research spans carbon-fiber composites, functionally graded metamaterials, and computational optimization techniques, shaping the future of manufacturing and automation.

Publication Profile

orcid

Education 🎓

Dr. I. Fidan earned his Ph.D. in Mechanical Engineering from Rensselaer Polytechnic Institute, USA (1996), specializing in robotics and automation. His dissertation focused on developing an automated rework cell for surface-mounted devices (SMDs), advancing manufacturing efficiency and automation techniques. Prior to that, he completed his M.Sc. in Mechanical Engineering at Istanbul Technical University, Türkiye (1991), where he conducted research on heat transfer through ultra-fine powders, contributing to energy and thermal system advancements. He obtained his B.Sc. in Mechanical Engineering from Anadolu University, Türkiye (1988), focusing on hydraulic machines, with a graduation project on vertical flow ventilators and venturi meters. During his academic journey, he also gained practical industry experience through internships at Kutahya Sugar Production Plant (1987) and TULOMSAS-Eskisehir Train Assembly Plant (1986), where he honed his technical skills in industrial manufacturing and mechanical systems.

Experience

Dr. I. Fidan is a Professor at Tennessee Technological University (TTU), where he leads cutting-edge research in additive manufacturing, machine learning, and smart materials. He is deeply involved in mentoring students and advancing engineering education through innovative curricula and hands-on research projects. In 2022, he served as a Visiting Scholar at Pasadena City College, where he developed machine learning educational resources and supported undergraduate research initiatives. From 2013 to 2014, Dr. Fidan was an ORISE Research Scientist at Oak Ridge National Laboratory, where he contributed to energy-efficient technologies, including modeling next-generation heat pump water heaters and simulating Zero Energy-Campbell Creek Houses. Beyond academia, he has collaborated with industry as a researcher and consultant, developing AI-driven solutions for HVAC and heat pumps and integrating additive manufacturing with alternative energy systems, contributing to sustainable and efficient engineering innovations.

Awards & Honors

Dr. I. Fidan has been widely recognized for his outstanding contributions to teaching, research, and innovation. In 2024, he received the TTU Outstanding Faculty Award for Teaching, followed by the ASEE National Engineering Technology Teaching Award in 2023. His research excellence was honored with the TTU WINGS UP 100 Research Achievement Award in 2022 and the JMMP Best Paper Award in 2021. In 2020, he earned the TTU Caplenor Research Award, the highest faculty distinction at TTU. His dedication to mentoring and academic leadership was acknowledged with the SME Distinguished Faculty Advisor Award in 2018 and the TTU College of Engineering Teacher Scholar Award in 2016. Dr. Fidan’s early career accomplishments include the National Academy of Engineering FOEE Award in 2013, the US Fulbright Senior Scholar Award in 2010, and the SME Jiri Tlusty Outstanding Young Manufacturing Engineer Award in 2003. With over 40 additional awards, he remains a leader in engineering education and research.

Research Focus

Dr. Fidan’s research focuses on advanced manufacturing, robotics, energy systems, and computational modeling, driving innovation in multiple engineering fields. His expertise spans additive manufacturing and 3D printing, where he pioneers smart materials and composite structures. In automation and robotics, he enhances efficiency in manufacturing processes. His work in material science and metamaterials explores functionally graded materials and nanotechnology applications. Leveraging machine learning in engineering, he develops AI-driven solutions for HVAC and heat pump systems. His contributions to sustainable energy systems involve alternative energy applications and energy-efficient designs. Additionally, his research in computational optimization applies simulated annealing and genetic algorithms to improve drilling processes. Through interdisciplinary collaborations, Dr. Fidan has produced high-impact publications in top-tier journals, contributing to significant advancements in manufacturing, automation, and smart materials.

Publication Top Notes

1️⃣ Optimum Cutting Parameters for CFRP Composites – Processes (2024) 📖
2️⃣ Functionally Graded Metamaterials: Fabrication & Modeling – (2024) 🏗️
3️⃣ Energy Efficiency in HVAC Systems Using AI – (2023) ❄️
4️⃣ Advancements in 3D-Printed Smart Materials – (2023) 🏭
5️⃣ Machine Learning in Additive Manufacturing – (2023) 🤖
6️⃣ Simulation of Zero-Energy Buildings – (2022) 🏡
7️⃣ AI-Based Predictive Maintenance for Heat Pumps – (2022) 🔥

 

Fadia Ahmed A. Naji | Engineering | Best Researcher Award

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Ms. Fadia Ahmed A. Naji | Engineering | Best Researcher Award

Ms. Fadia Ahmed A. Naji, Delhi Technological University, India

Ms. Fadia Ahmed A. Naji is a dedicated scholar and professional with a strong foundation in Industrial and Mechanical Engineering. Her academic qualifications, professional experiences, research accomplishments, and skills exemplify her commitment to academic excellence and industrial applications. Ms. Naji is recognized for her analytical and organizational skills, problem-solving abilities, and excellent interpersonal communication. Her ability to manage work efficiently under pressure and collaborate effectively with academic and industrial teams highlights her versatility and dedication.

Education:

Ms. Naji has a solid educational background, starting with a B.Sc. in Industrial Engineering from Taiz University, Yemen, in 2012, followed by an M.Sc. in Industrial Engineering from the same institution in 2021. She is currently pursuing a Ph.D. in Mechanical Engineering at Delhi Technological University, India, with a research focus on advanced materials and sustainable manufacturing. This progression demonstrates her dedication to enhancing her expertise and contributing to cutting-edge research.

Professional Profiles:

ORCID Profile

Professional Experience:

Ms. Naji’s professional journey includes roles such as Head of the Planning and Purchasing Departments at Alahlia Mineral Water Co. in Yemen (2012–2019), where she honed her skills in industrial management and strategic operations. Additionally, she has served as a Teaching Assistant at Iqra College, sharing her knowledge and inspiring future engineers. Her experience bridges academia and industry, reflecting her practical and theoretical understanding of engineering principles.

Skills:

Ms. Naji possesses an impressive skill set that includes analytical reasoning, project management, and proficiency in computer science. Her ability to blend logic with creative problem-solving makes her a standout researcher. Additionally, her excellent communication, teamwork, and organizational abilities ensure she thrives in collaborative environments, making her research impactful and widely disseminated.

Research Interests:

Ms. Naji has made notable contributions to scientific literature, particularly in the fields of quality control, nano-finishing of titanium alloys, and sustainable manufacturing processes. Her publications, such as “Designing an Integrated Model of Quality Control and Maintenance Planning” and “Sustainable Chemo-Mechanical Magneto-Rheological Finishing of Ti64 Alloy,” showcase her innovative approaches to solving contemporary engineering challenges. Her research on environmentally friendly methods for biomedical implant surface modifications underlines her focus on sustainability and social impact.

Publications:

Designing an integrated model of quality control and maintenance planning for the multi-component system using the CUSUM chart

Challenges and opportunities in nano finishing of titanium alloys for biomedical applications: A review

Future Perspectives and Research Trends in Chemo-mechanical Magneto-rheological Finishing for Enhanced Surface Quality

A Novel Thermochemical Process for Ti46 Alloy Surface Modification by Environmentally Friendly for Biomedical Implant Applications

Sustainable Chemo-Mechanical Magneto-Rheological Finishing of Ti64 Alloy: Enhancing Surface Finish through pH Regulation and Process Parameter Optimization

 

Conclusion:

Ms. Fadia Ahmed A. Naji is a strong candidate for the Best Researcher Award. Her academic achievements, professional expertise, and significant research contributions in industrial engineering and sustainable manufacturing distinguish her as a researcher with substantial potential. Strengthening her global outreach and expanding interdisciplinary collaborations can further elevate her profile.

This combination of academic rigor, practical experience, and impactful research positions her as a deserving nominee for this award.

 

 

 

 

Aleksandar Jovanovic | Engineering Award | Most Reader’s Article Award

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Assoc Prof Dr. Aleksandar Jovanovic | Engineering Award | Most Reader’s Article Award

professor at Faculty of engineering University of Kraguejvac, Serbia

Dr. Aleksandar Jovanovic is a distinguished academic with extensive experience in transportation and traffic engineering. He completed his PhD at the University of Belgrade in 2017, focusing on Operations Research in Urban Transportation. His academic journey also includes an MSc and BSc in Traffic Engineering and Urban Transportation from the same institution. Dr. Jovanovic’s career encompasses a range of positions, including his current role as Associate Professor at the University of Kragujevac, Serbia, where he has been employed since November 2022. He has previously served as a Postdoctoral Associate at the University of Pittsburgh, and as a Visiting Scholar there. His earlier roles include Assistant Professor at the University of Kragujevac, and Visiting Assistant Professor at the University of Banja Luka. His teaching experience spans undergraduate and graduate courses in traffic engineering, both in Serbia and the United States. He has been recognized with several honors, including a Professional Development Award in 2023 and the Best Paper Award at ICCMAE 2018. Dr. Jovanovic was also a recipient of the Serbian Governmental Scholarship from 2006 to 2017.

Professional Profiles:

📚 Education:

Dr. Aleksandar Jovanovic completed his PhD at the University of Belgrade, Serbia, in October 2017, specializing in Operations Research in Urban Transportation at the Faculty of Transport and Traffic Engineering. Prior to this, he earned his MSc in Traffic Engineering from the same institution in October 2011. Dr. Jovanovic’s academic journey began with a BSc in Urban Transportation, also from the University of Belgrade, awarded in October 2010.

Pofessional Experience:

Dr. Aleksandar Jovanovic has accumulated a wealth of experience in academia and research. From November 2022 to October 2023, he served as a Postdoctoral Associate at the University of Pittsburgh’s Swanson School of Engineering. Prior to this, he was a Visiting Scholar at the same institution from August to November 2021. Currently, Dr. Jovanovic holds the position of Associate Professor at the Department for Motor Vehicles and Motors at the University of Kragujevac, Faculty of Engineering in Serbia, a role he has occupied since November 2022. He previously served as an Assistant Professor at the same department from September 2018 to November 2022 and as a Visiting Assistant Professor at the University of Banja Luka, Faculty of Mechanical Engineering, from March 2019 to October 2022. Earlier in his career, Dr. Jovanovic was a Teaching Assistant in the Department of Road Traffic at the State Engineering College of Applied Studies “Tehnikum Taurunum” in Belgrade from September 2016 to September 2018, and a Junior Teaching Assistant at the State Technical College of Applied Studies in Kragujevac from September 2013 to September 2015.

Teaching Experience:

Dr. Aleksandar Jovanovic has an extensive teaching background, spanning both undergraduate and graduate courses. At the University of Pittsburgh, he has served as a Co-Instructor for the undergraduate courses “Traffic Control Systems” in Spring 2023 and “Traffic Management and Operations” in Fall 2023. At the University of Kragujevac, his teaching roles included instructing undergraduate courses such as “Urban Transportation” from Spring 2018 to 2022, “Traffic Safety” from Fall 2018 to 2021, and “Informatics in Traffic Engineering” from Spring 2018 to 2022. He also co-instructed “Traffic and Traffic Roads” from Fall 2018 to 2020. For graduate students at the University of Kragujevac, Dr. Jovanovic taught “Informatic Systems in Traffic Engineering” in Spring 2018 to 2022, and “Operations Research Applications in Traffic Engineering” from Fall 2019 to 2021. Additionally, he provided a lecture on “Applications of Fuzzy Logic Systems in Traffic Signal Control” for graduate students at the Pittsburgh Intelligent Transportation Systems (PITTs) Lab in Fall 2021.

Awards And Honors:

Dr. Aleksandar Jovanovic has received several notable honors and awards throughout his career. In 2023, he was recognized with a Professional Development Award for his poster presentation at the Postdoctoral Data and Dine Symposium. In 2019, he earned the Best Paper Award at the International Conference on Computational Mathematics and Engineering (ICCMAE) 2018 in Timisoara, specifically in the Applied/Computational Mathematics section. Additionally, between 2006 and 2017, Dr. Jovanovic was a recipient of the Serbian Governmental Scholarship, reflecting his academic excellence and commitment to his field.

Skills:

Dr. Aleksandar Jovanovic possesses a diverse set of computer skills and competencies. In the field of traffic simulation and analysis, he is proficient with tools such as PTV Vissim (including COM and VAP), HCS+T7F, Synchro, and SUMO. For design tasks, he utilizes AutoCAD. Additionally, Dr. Jovanovic is skilled in scripting languages, including Matlab and Python, which he employs for various analytical and programming tasks.

📚Publications :

“Area-wide urban traffic control: A Bee Colony Optimization approach”
Authors: A Jovanović, M Nikolić, D Teodorović
Citations: 85
Year: 2017

“Green vehicle routing in urban zones–A neuro-fuzzy approach”
Authors: AD Jovanović, DS Pamučar, S Pejčić-Tarle
Citations: 82
Year: 2014

“Pre-timed control for an under-saturated and over-saturated isolated intersection: a Bee Colony Optimization approach”
Authors: A Jovanović, D Teodorović
Citations: 26
Year: 2017

“Ecology based network traffic control: A bee colony optimization approach”
Authors: A Jovanović, A Stevanović, N Dobrota, D Teodorović
Citations: 13
Year: 2022

“Fixed-time traffic control at superstreet intersections by bee colony optimization”
Authors: A Jovanović, D Teodorović
Citations: 12
Year: 2022

“The assessment and selection of suppliers using AHP and MABAC with type-2 fuzzy numbers in automotive industry”
Authors: N Komatina, D Tadić, A Aleksić, AD Jovanović
Citations: 11
Year: 2023

“Restricted crossing U-turn traffic control by interval Type-2 fuzzy logic”
Authors: A Jovanović, K Kukić, A Stevanović, D Teodorović
Citations: 11
Year: 2023

“Type-2 fuzzy logic based transit priority strategy”
Authors: A Jovanović, D Teodorović
Citations: 10
Year: 2022

“A fuzzy logic simulation model for controlling an oversaturated diverge diamond interchange and ramp metering system”
Authors: A Jovanović, K Kukić, A Stevanović
Citations: 9
Year: 2021

“Multi-objective optimization of a single intersection”
Authors: A Jovanović, D Teodorović
Citations: 8
Year: 2021