Inayet burcu Toprak | Manufacturing simulation | Best Researcher Award

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Dr. Inayet burcu Boprak | Manufacturing simulation | Best Researcher Award

Lecturer PhD at akdeniz university Turkey

Dr. İnayet Burcu Toprak is a passionate mechanical engineer and academic at Akdeniz University, specializing in advanced manufacturing and automation technologies. 🛠️✨ Her innovative research focuses on enhancing production techniques, particularly through additive manufacturing and powder metallurgy. She skillfully applies optimization strategies like the Taguchi method and multi-objective optimization to improve material characteristics such as tensile strength and precision. 📊🔍 Dr. Toprak also explores cutting-edge ultrasonic atomization to create high-quality metal powders, pushing forward the frontiers of 3D printing and aerospace engineering. 🚀🔧 Dedicated to sustainable and intelligent manufacturing, she bridges theoretical knowledge with practical applications to foster eco-friendly industrial growth. 🌱⚙️ As an active contributor in international scientific forums, she collaborates globally to advance automation and material science. Her work continues to inspire innovation in mechanical engineering, blending creativity with technology for a smarter, greener future. 🌍💡

Professional Profile

Education

Dr. İnayet Burcu Toprak pursued her academic journey in mechanical engineering, culminating in a Ph.D. from Akdeniz University in Antalya, Turkey. Her rigorous training laid the foundation for her expertise in advanced manufacturing and automation technologies. This academic background has been instrumental in her subsequent research and professional endeavors.

Professional Experience

Dr. Toprak has been serving as a faculty member at Akdeniz University’s Technical Sciences Vocational School, Department of Electronics and Automation, since 2002. In her role, she imparts knowledge on control and automation technologies, blending theoretical concepts with practical applications. Her extensive teaching experience underscores her commitment to nurturing the next generation of engineers.

Research Interests

Dr. Toprak’s research is centered on optimizing manufacturing processes, with a particular focus on additive manufacturing and powder metallurgy. She employs advanced methodologies like the Taguchi approach and multi-objective optimization to enhance material properties such as tensile strength and dimensional accuracy. Additionally, her exploration into ultrasonic atomization techniques aims to innovate metal powder production, advancing 3D printing and aerospace applications.

Awards and Honors

While specific awards and honors for Dr. Toprak are not publicly detailed, her contributions to the field are evident through her active participation in international scientific conferences and collaborations. Her work continues to influence the fields of automation, material science, and mechanical engineering, reflecting the recognition she has garnered within the academic community.

Publications Top Notes

1. Automatic recognition of Parkinson’s disease from sustained phonation tests using ANN and adaptive neuro-fuzzy classifier

Authors: MF Çağlar, B Çetişli, İB Toprak

Year: 2010

Citation: 89

Source: Mühendislik Bilimleri ve Tasarım Dergisi 1 (2), 59-64

2. EEG sinyallerinin dalgacık dönüşümü ve yapay sinir ağları ile analizi

Authors: İB Toprak

Year: 2007

Citation: 16

Source: Fen Bilimleri Enstitüsü

3. Ti-6Al-4V Süper Alaşiminin Yüksek Basinçli Soğutma Kullanilarak Frezelenmesinde Yüzey Pürüzlülüğünün Taguchi Yöntemi ile Optimizasyonu

Authors: İB Toprak, MF Çağlar, O Çolak, K Kıran, M Bayhan

Year: 2012

Citation: 6

Source: SDU International Technologic Science 4 (2), 30-39

4. Optimization of Surface Roughness by Using Taguchi Method in Milling of Ti-6Al-4 V Super-Alloy at High-Pressure Cooling Conditions

Authors: İB Toprak, MF Çağlar, O Çolak, K Kıran, M Bayhan

Year: 2012

Citation: 4

Source: Uluslararası Teknolojik Bilimler Dergisi 4 (2), 30-39

5. Ayrık dalgacık dönüşümü ve yapay sinir ağları kullanarak EEG sinyallerinden otomatik epilepsi teşhisi

Authors: İB Toprak, MF Çağlar, M Merdan

Year: 2007

Citation: 4

Source: IEEE 15, 11-13

6. Meslek yüksekokullarında akademik başarıya etki eden faktörler: Akdeniz Üniversitesi Teknik Bilimler Meslek Yüksekokulu örneği

Authors: İB Toprak, N Doğdu, M Öztürk

Year: 2017

Citation: 3

Source: Çankırı Karatekin Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 8 (1), 150-163

7. Multi-Objective Optimization Study on Production of AlSi10Mg Alloy by Laser Powder Bed Fusion

Authors: İB Toprak, N Dogdu

Year: 2024

Citation: 2

Source: Applied Sciences 14 (22), 10584

DOI: 10.3390/app142210584

8. Automatic Recognition of Epilepsy from EEG using Artificial Neural Network and Discrete Wavelet Transform

Authors: İB Toprak, MF Çağlar, M Merdan

Year: 2007

Citation: 2

Source: 2007 IEEE 15th Signal Processing and Communications Applications, 1-4

9. Optimization of tensile strength of AlSi10Mg material in the powder bed fusion process using the Taguchi method

Authors: İB Toprak, N Doğdu

Year: 2024

Citation: 1

Source: Scientific Reports 14, 1-9

10. Prediction and optimization of hardness in AlSi10Mg alloy produced by laser powder bed fusion using statistical and machine learning approaches

Authors: İB Toprak

Year: 2025

Source: Scientific Reports 15 (1), 1-9

DOI: 10.1038/s41598-025-03307-x

11. Numerical Optimization of Laser Powder Bed Fusion Process Parameters for High-Precision Manufacturing of Pure Molybdenum

Authors: İB Toprak, N Dogdu, MU Salamci

Year: 2025

Source: Applied Sciences 15 (10), 5485

DOI: 10.3390/app15105485

Conclusion

Dr. İnayet Burcu Toprak stands as a dedicated academic and researcher in the realm of mechanical engineering. Her commitment to advancing manufacturing technologies and her active engagement in the scientific community underscore her pivotal role in shaping the future of engineering practices. Through her work, she continues to inspire innovation and excellence in the field.

Assoc. Prof. Dr. Hongyan Zhao | Additive manufacturing | Best Researcher Award

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Hongyan Zhao | Additive manufacturing | Best Researcher Award

Hongyan Zhao, Beijing University of Technology, China

Dr. Hongyan Zhao 🎓, an Associate Professor at the School of Mechanical and Energy Engineering, Beijing University of Technology 🏫, specializes in high-frequency welding, additive manufacturing, power supply systems, and power electronics ⚡. With a Ph.D. in Electrical Engineering from Beijing Jiaotong University 🎓, Dr. Zhao has led and contributed to national and enterprise-funded projects 🧪. His research has been widely published in top-tier SCI journals 📚. Passionate about innovative manufacturing and control technologies 🤖, he combines academic excellence with industrial collaboration, driving advancements in welding technology and smart manufacturing systems 🚀.

Professional profile : 

scopus

Summary of suitability :

Dr. Hongyan Zhao is highly suitable for a Best Researcher Award. His impressive academic background, specialized expertise, strong publication record, and leadership in high-impact projects demonstrate the qualities expected of an award-winning researcher. His commitment to both fundamental research and practical industry applications places him at the forefront of innovation in mechanical, energy, and electrical engineering fields.

Education and Experience :

  • 🎓 B.S. in Automation – Yanshan University (2006.09 – 2010.06)

  • 🎓 M.S. in Electrical Machines and Apparatus – Yanshan University (2010.09 – 2013.06)

  • 🎓 Ph.D. in Electrical Engineering – Beijing Jiaotong University (2013.09 – 2019.01)

  • 🔬 Postdoctoral Researcher – Beijing Jiaotong University (2019.06 – 2021.07)

  • 👨‍🏫 Associate Professor – Beijing University of Technology (current)

Professional Development :

Dr. Hongyan Zhao 🚀 has been deeply involved in professional development through leading major national projects and enterprise collaborations 📈. He secured funding from the National Natural Science Foundation of China 🎯 and contributed significantly to large-scale national R&D programs, particularly in advanced welding technologies and additive manufacturing 🛠️. His engagement with projects like ultra-high frequency pulse arc welding for deep-water environments 🌊 and flexible manufacturing systems for spacecraft structures 🚀 highlights his drive to solve real-world industrial challenges. Through active research, teaching, and innovation 🔥, Dr. Zhao continually pushes the boundaries of smart manufacturing and electrical engineering 🌟.

Research Focus Category :

Dr. Hongyan Zhao’s 🧠 research focuses on Advanced Manufacturing and Welding Technology 🔥, especially in the fields of high-frequency welding, multi-electrode arc behavior, and additive manufacturing processes 🛠️. His expertise extends to the development of power electronics and high-efficiency power transmission systems ⚡. With a multidisciplinary approach combining thermal, electrical, and mechanical dynamics 🌐, Dr. Zhao aims to revolutionize industrial welding and smart production techniques 🤖. His work contributes to both fundamental research and practical engineering applications, impacting industries such as aerospace 🚀, energy 🌱, and deep-water construction 🏗️ through technological innovation and new control strategies 🎯.

Awards and Honors :

  • 🏅 First Author and Corresponding Author in multiple SCI Q1 TOP journals

  • 🏆 Leader of Enterprise-funded Research Projects (Variable Polarity Plasma Arc Welding System)

  • 📚 Core Member of National Key R&D Programs and Major Science Projects

  • 🎖️ Recipient of Youth Project Funding from the National Natural Science Foundation of China

  • 🏅 Recognized for Contributions to National Spacecraft Manufacturing Equipment Projects

Publication Top Notes :

Morphology and energy distribution characteristics of ultra-high frequency adjustable multi-pulse GTAW arc

 

 

Arif GÖK | Manufacturing Technologies | Best Researcher Award

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Arif GÖK | Manufacturing Technologies | Best Researcher Award

Prof. Arif Gök, Kutahya Dumlupinar University, Turkey.

Prof. Arif Gök 🎓 is a renowned academic in Mechanical Engineering ⚙️ and Industrial Design Engineering 🛠️. He serves as a professor at Kutahya Dumlupinar University in Turkey 🇹🇷, specializing in product design and manufacturing technologies. With over 15 years of teaching experience, Prof. Gök has held positions at several Turkish universities, including Amasya University and Kastamonu University 🏫. He holds a Ph.D. in Mechanical Engineering from University of Karabuk 🏛️ and is committed to advancing both engineering education and practical industry applications 🔧. His work focuses on machine design and sustainable engineering practices 🌍.

Publication Profiles

Google Scholar

🔹 Education & Experience 

📘 Education:

  • 🎓 Professor, Industrial Design Engineering, Kutahya Dumlupinar University (2021 – Present)

  • 🎓 Associate Professor, Mechanical Engineering, Amasya University (2016 – 2021)

  • 🎓 Ph.D. in Mechanical Engineering, University of Karabuk (2013)

  • 🎓 M.Sc. in Mechanical Engineering, University of Afyon Kocatepe (2007)

  • 🎓 B.Sc. in Mechanical Engineering, University of Dumlupınar (2004)

💼 Professional Experience:

  • 🧑‍🏫 Professor, Industrial Design Engineering, Kutahya Dumlupinar University (2021 – Present)

  • 🧑‍🏫 Associate Professor, Mechanical Engineering, Amasya University (2016 – 2021)

  • 🧑‍🏫 Assistant Professor, Mechanical Engineering, Amasya University (2014 – 2016)

  • 🧑‍🏫 Instructor, Machine Department, Kastamonu University (2013 – 2014)

  • 🧑‍🏫 Instructor, Machine Department, Kastamonu University (2007 – 2013)

  • 🧑‍🏫 Instructor, Machine Department, Ankara University (2006 – 2007)

🏆 Suitability for Best Researcher Award

Professor Arif GÖK is a distinguished academic and researcher whose long-standing career and leadership in the fields of Industrial Design, Mechanical Engineering, and Machine Studies make him an outstanding candidate for the Best Researcher Award. With an academic journey spanning nearly two decades and progressive appointments at prestigious Turkish institutions, Professor GÖK has consistently contributed to the advancement of engineering education and research.

🔹 Professional Development 

Prof. Arif Gök’s professional development spans over 15 years of academic and practical experience 🧑‍🏫. His dedication to education and innovation in Mechanical Engineering ⚙️ and Industrial Design Engineering 🛠️ has earned him recognition in both teaching and research. Prof. Gök has held various academic positions, contributing to sustainable design practices 🌱, machine design 🧰, and advanced manufacturing technologies 🏭. As a lifelong learner, he continues to expand his knowledge and collaborate with industry professionals to bridge the gap between theory and real-world engineering solutions 💡.

🔹 Research Focus 

Prof. Arif Gök’s research focuses on Mechanical Engineering ⚙️ and Industrial Design Engineering 🛠️. His primary interests include product development, machine design, and manufacturing technologies 🏭. He explores ergonomics, sustainable engineering 🌍, and the integration of advanced design principles to improve industrial systems. Prof. Gök is particularly passionate about sustainable manufacturing processes 🌱 and innovative design solutions that minimize environmental impact. His work aims to optimize efficiency and functionality in product designs while considering user experience and economic feasibility 💰. Prof. Gök’s research bridges academia and industry, providing practical solutions to engineering challenges 🔧.

🏅 Awards & Honors:

  • 🏆 Excellence in Teaching Award, Kutahya Dumlupinar University 🎓

  • 🥇 Best Research Paper Award, Amasya University 📝

  • 🥈 Research Grant for Sustainable Manufacturing, TUBITAK 💡

  • 🥉 Outstanding Contribution to Mechanical Engineering, Karabuk University 🏅

Publication Top Noted

  1. A new approach to minimization of the surface roughness and cutting force via fuzzy TOPSIS, multi-objective grey design and RSA – Measurement (2015) 📚146 🛠️📉
  2. Cutting parameter and tool path style effects on cutting force and tool deflection in machining of convex and concave inclined surfaces – Int. J. of Advanced Manufacturing Technology (2013) 📚80 🛠️🔧
  3. Optimization of processing parameters of a developed new driller system for orthopedic surgery applications using Taguchi method – Int. J. of Advanced Manufacturing Technology (2015) 📚53 🏥⚙️
  4. Three-dimensional finite element model of friction drilling process in hot forming processes – Proc. of the Institution of Mechanical Engineers, Part E (2017) 📚48 🔥⚙️
  5. The influence of operating temperature on the performance of BIPV modules – IEEE Journal of Photovoltaics (2020) 📚36 ☀️💡
  6. Comparison of effects of different screw materials in the triangle fixation of femoral neck fractures – Journal of Materials Science: Materials in Medicine (2017) 📚33 💉🦴

Prof. Dr. Wen-Chung Tsai | Internet of Things | Best Researcher Award

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Prof. Dr. Wen-Chung Tsai | Internet of Things | Best Researcher Award

Prof. Dr. Wen-Chung Tsai, National Taichung University of Science and Technology, Taiwan

Prof. Dr. Wen-Chung Tsai is an esteemed academic and researcher specializing in Embedded Systems, Internet of Things (IoT), Artificial Intelligence (AI), and Information Security. He earned his Ph.D. in Electronics Engineering from National Taiwan University in 2011 and has since contributed significantly to academia and industry. Dr. Tsai has held key roles at National Taichung University of Science and Technology and Chaoyang University of Technology, where he has mentored students and advanced research in wireless networks, software-hardware integration, and communication protocols. His industry experience includes serving as Deputy Manager at VIA Technologies and as a researcher at the Industrial Technology Research Institute (ITRI), Taiwan. With an extensive publication record, he continues to shape the future of computing and communication technologies.

🌍 Professional Profile 

Orcid

🏆 Suitability for Best Researcher Award 

Dr. Wen-Chung Tsai is a highly qualified candidate for the Best Researcher Award due to his outstanding contributions in Embedded Systems, IoT, AI, and Wireless Communication Protocols. His extensive experience in academia and industry enables him to conduct cutting-edge research while ensuring practical applications in technological advancements. His work in software-hardware integration and information security has paved the way for more secure and efficient digital ecosystems. Having served as an Associate Professor and Researcher, he has led multiple projects that enhance computing, connectivity, and cybersecurity. His ability to bridge theory with real-world implementation demonstrates his excellence in research, making him a deserving recipient of this prestigious award.

🎓 Education 

Dr. Wen-Chung Tsai pursued his Ph.D. in Electronics Engineering from National Taiwan University (2006-2011), where he focused on advanced computing architectures and embedded system design. Before that, he completed his Master’s in Electrical Engineering from National Cheng Kung University (1996-1998), where he specialized in networking protocols and wireless communication technologies. His strong academic foundation in software-hardware integration, AI-driven embedded systems, and IoT security has guided his research endeavors. With interdisciplinary expertise spanning computer science, electronics, and telecommunications, he has consistently contributed to technological innovation and engineering advancements. His academic journey is a testament to his commitment to pushing the boundaries of technology through rigorous research and innovation.

💼 Experience 

Dr. Wen-Chung Tsai has a rich professional background that blends academic excellence with industrial innovation. He currently serves as an Associate Professor at National Taichung University of Science and Technology (2022–Present). Prior to this, he was an Associate Professor at Chaoyang University of Technology (2020–2022) and an Assistant Professor in the same institution (2013–2020). His industry experience includes roles as Deputy Manager at VIA Technologies (2000–2009), Engineer at the Industrial Technology Research Institute (2011–2013), and Visiting Scholar at the University of Wisconsin-Madison (2010). His diverse experience in academia, research institutions, and corporate sectors enables him to drive impactful innovations in IoT, AI, and cybersecurity.

🔬 Research Focus

Dr. Wen-Chung Tsai’s research revolves around cutting-edge technologies in Embedded Systems, IoT, AI, and Cybersecurity. His work in software-hardware integration aims to develop optimized and secure computing environments. His contributions to wireless networks and communication protocols enhance the efficiency of 5G, IoT, and edge computing applications. His AI-driven security models focus on protecting IoT ecosystems from cyber threats. With expertise in real-time embedded computing, he works on power-efficient architectures for smart devices and intelligent networks. His multidisciplinary approach combines electronics, AI, and cybersecurity to develop scalable and resilient technological solutions for future smart cities, industrial automation, and digital transformation.

📊 Publication Top Notes 

  • Field-Programmable Gate Array-Based Implementation of Zero-Trust Stream Data Encryption for Enabling 6G-Narrowband Internet of Things Massive Device Access

    • Year: 2024

  • Anticipative QoS Control: A Self-Reconfigurable On-Chip Communication

    • Year: 2022

  • Automatic Key Update Mechanism for Lightweight M2M Communication and Enhancement of IoT Security: A Case Study of CoAP Using Libcoap Library

    • Year: 2022

  • Network-Cognitive Traffic Control: A Fluidity-Aware On-Chip Communication

    • Year: 2020

 

Dr. Ivana Klačková | Production Systems | Best Researcher Award

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Dr. Ivana Klačková | Production Systems | Best Researcher Award

Dr. Ivana Klačková | University of Žilina | Slovakia

Ing. Ivana Klačková, PhD., is a Slovak researcher and engineer specializing in automation, production systems, and energy technologies ⚙️🔬. She is a researcher at the University of Žilina, where she leads projects in industrial automation and safety assessment 📊🤖. With a Ph.D. in Energy Machines and Equipment from the University of Žilina 🎓, her expertise spans industrial innovation, risk reduction, and process optimization 🏭⚡. She has worked extensively in research, industry, and project management, contributing to patents and international collaborations 🌍📑. Passionate about sustainable engineering, she actively engages in academia, mentoring, and technological advancements 🚀🔍.

Professional Profile:

ORCID

SCOPUS

Suitability for the Best Researcher Award

Ing. Ivana Klačková, PhD., is a highly suitable candidate for a Best Researcher Award due to her extensive contributions to automation, production systems, and energy technologies. Her research at the University of Žilina is pivotal in advancing industrial automation, safety assessment, and process optimization. Her leadership in innovative projects, coupled with her engagement in academic mentorship and technological advancements, highlights her role as a key figure in her field.

Education & Experience 🎓💼

  • Ph.D. in Energy Machines & Equipment – University of Žilina (2008) 🏅⚙️
  • Ing. (Master’s) in Environmental Technology – University of Žilina (2005) 🎓🌱
  • Supplementary Pedagogical Studies – University of Žilina (2005) 🏫📚
  • Matriculation in Technical & IT Services – Secondary Technical School of Mechanical Engineering (2000) 🛠️💻
  • Researcher – University of Žilina, Faculty of Mechanical Engineering (2018–Present) 🔬📊
  • Expert Worker (NITT SK II Project) – Center of Scientific & Technical Information (2022–2023) 🏛️🔍
  • Investment Construction Technician – Stredoslovenská Distribučná, A.S. (2016–2018) 🏗️💰
  • Production Preparation Technician – Stredoslovenská Energetika – Distribúcia, A.S. (2014–2015) ⚡📋
  • Business Activity Technician – Elektroenergetické Montáže, A.S. (2009–2013) 💼📈
  • Manager of Business-Technical Services – Tlakon SK, S.R.O. (2008–2009) 🏢📞

Professional Development 🚀

Ing. Ivana Klačková, PhD., is committed to continuous professional growth through research, training, and industrial collaborations 🔬📚. She actively engages in national and international projects, focusing on automation, risk assessment, and production system efficiency ⚙️🤖. She participates in professional conferences, presenting her research and contributing to innovation in mechanical engineering 🌍🏆. Additionally, she collaborates with industrial partners on innovation-driven projects, bridging the gap between research and application 🏭🔍. Her expertise in energy systems and process optimization has led to several industrial property applications and patent submissions, reinforcing her role as a leading expert in her field 🔥🔧.

Research Focus 🔬⚙️

Dr. Klačková’s research focuses on automation, production systems, and industrial safety assessment 🤖⚙️. She specializes in optimizing manufacturing processes, reducing safety risks in machinery and workplaces, and improving energy efficiency in industrial operations 🔍🏭. Her work includes developing automated systems, implementing innovative engineering solutions, and advancing sustainable technologies 🌱📊. With expertise in applied research, she collaborates on international projects, addressing challenges in automation, robotics, and smart manufacturing 🔬🌍. Her studies contribute to enhancing industrial productivity, workplace safety, and sustainable development, bridging academia and industry to drive engineering advancements 💡🔩.

Awards & Honors 🏆🎖️

  • Research Grant Recipient – For contributions to automation and production systems 🎓🔍
  • Recognized Expert in Industrial Property Protection – Center of Scientific & Technical Information 🏅📑
  • Best Research Presentation Award – Professional engineering conference 🗣️🏆
  • Outstanding Contribution to Industrial Innovation – Collaboration with industry partners 🏭💡
  • Patents & Industrial Property Applications – Recognized for technological advancements 📜🔬

Publication Top Notes 📖

📄 Sustainable and Cost-Effective Design Principles for a Safer and More Efficient Machine – Ivana Klačková, Zuzana Ságová | 📚 Conference Paper |
📄 From Anomaly Detection to Defect Classification – Jaromír Klarák, Robert Andok, Peter Malík, Ivan Kuric, Mário Ritomský, Ivana Klačková, Hung-Yin Tsai |  📖 Sensors |
📄 Autoencoders Based on 2D Convolution Implemented for Reconstruction Point Clouds from Line Laser Sensors – Jaromír Klarák, Ivana Klačková, Robert Andok, Jaroslav Hricko, Vladimír Bulej, Hung-Yin Tsai | 📖 Sensors |
📄 An Automated Diagnostic and Surveillance System for Eliminating the Community Spread of Infectious Respiratory Diseases in the Industry – Milan Sága Jr., Michal Bartoš, Ivan Zajačko, Ivana Klačková, Dariusz Wiecek |  📘 Book Chapter |
📄 Application of Progressive Technologies Based on Digitalization in Mechanical Engineering – Ivana Klačková, Tatyana Ivanova, Ivan Kuric, Aleksandr Korshunov, Vladimir Koretckiy |  📖 MM Science Journal |