Dehai Zhang | Mechanical Engineering | Excellence in Innovation

Prof. Dehai Zhang | Mechanical Engineering | Excellence in Innovation

Zhengzhou University of Light Industry, Mechanical and Electrical Engineering Institute, China

👨‍🔬 Prof. Dehai Zhang is a distinguished academic and researcher at Zhengzhou University of Light Industry, China. With a strong background in Mechanical Engineering, he specializes in reverse engineering and advanced materials, particularly additive manufacturing and forming process control. Over the years, he has made significant contributions to his field, authoring over 140 research papers, including more than 20 SCI-indexed articles, and holding nine national invention patents. His work has garnered recognition, including two second prizes for Henan Science and Technology Progress Awards.

Publication Profile

ORCID

Education

🎓 Prof. Zhang earned his Ph.D. and Master’s degrees from the School of Mechanical Engineering at Xi’an Jiaotong University, a prestigious institution known for its engineering programs.

Experience

💼 As a professor at Zhengzhou University of Light Industry, Prof. Zhang has led research initiatives and mentored countless students. He has taught core undergraduate courses such as Principles and Design of Automata, Introduction to Mechanical Engineering, and 3D Digital Modeling and Reverse Engineering. In addition, he has completed five provincial and ministerial research projects.

Awards and Honors

🏆 Prof. Zhang’s innovative research has been recognized with two second prizes for Henan Science and Technology Progress Awards. He is also credited with nine national invention patents, reflecting his commitment to advancing practical and theoretical knowledge in mechanical engineering.

Research Focus

🔬 Prof. Zhang’s primary research areas include reverse engineering, advanced materials, additive manufacturing, and forming process control. His groundbreaking work focuses on digital image correlation methods, optical measurement systems, and metal forming technologies.

Conclusion

🌟 Prof. Dehai Zhang is a pioneer in mechanical engineering research and education, bridging the gap between academic inquiry and practical applications. His extensive contributions to reverse engineering and additive manufacturing have cemented his reputation as a leading expert in his field.

Publications

Digital image correlation method for measuring deformations of vinylchloride-coated metal multi-layer sheetsModern Physics Letters B, 2019, 33(5): 1950050 (18), cited by 18.

A novel 3D optical method for measuring and evaluating springback in sheet metal forming processMeasurement, 2016, 92: 303-317 (SCI: DS4FL), cited by 26.

Strain and mechanical properties of VCM multi-layer sheet and their composites using digital speckle correlation methodApplied Optics, 2015, 54(25): 7534-7541 (SCI: CQ1GB), cited by 32.

Formability Behaviors of 2A12 Thin-wall Part Based on DYNAFORM and Stamping ExperimentComposites: Part B, 2013, 55: 591-598 (SCI: 229XT), cited by 40.

Integrated precision evaluation method for 3D optical measurement systemProceedings of the Institution of Mechanical Engineers, Part B, Journal of Engineering Manufacture, 2011, 225(6): 909-920 (SCI: 808JP), cited by 20.

Exploitation of photogrammetry measurement systemOptical Engineering, 2010, 49(3): 037005-1-11 (SCI: 586RW), cited by 18.

Uniaxial tensile fracture of stainless steel-aluminum bi-metalProceedings of the Institution of Mechanical Engineers, Part C, Journal of Mechanical Engineering Science, 2011, 225(5): 1061-1068 (SCI: 772VY), cited by 22.

 

Atanaska Bosakova-Ardenska | Engineering | Best Researcher Award

Prof. Dr. Atanaska Bosakova-Ardenska | Engineering | Best Researcher Award

Professor, University of Food Technologies, Bulgaria

Atanaska D. Bosakova-Ardenska is a Bulgarian researcher specializing in parallel algorithms, image processing, food quality evaluation, programming, and algorithms. She actively contributes to multidisciplinary fields through her innovative research and collaborations. With a focus on combining computer vision and food science, her work has earned recognition in academia and industry alike. 🖥️🍴📊

Publication Profile

ORCID

Education 🎓

Atanaska holds a robust academic background in computer science and engineering. Her educational journey has laid the foundation for her expertise in designing advanced algorithms and exploring their applications in practical domains like food quality assessment and educational tools. 📘💡

Experience 🌍

With years of experience in research and academia, Atanaska has published extensively in high-impact journals and contributed to international conferences. Her work bridges computer vision, parallel processing, and innovative educational methodologies, showcasing her versatility in addressing real-world challenges. 🔬🌐

Research Interests 🔎

Atanaska’s research revolves around parallel algorithms, image processing, and their applications in food quality evaluation. She is also keenly interested in advancing educational programming tools and algorithm development, striving to integrate theory with practical applications. 🧩📷📚

Awards 🏆

Throughout her career, Atanaska has received accolades for her contributions to computer science and food quality evaluation. Her commitment to interdisciplinary research and educational innovation has been recognized by peers and institutions globally. 🌟🥇

Publications 📚

Performance Evaluation of Recursive Mean Filter Using Scilab, MATLAB, and MPI (Message Passing Interface)
Published in: Engineering Proceedings, 2024-08
DOI: 10.3390/engproc2024070033

Design and Implementation of Educational Game Using Crossword Principles
Published in: Engineering Proceedings, 2024-07
DOI: 10.3390/engproc2024070012

Recent Trends in Computer Vision for Cheese Quality Evaluation
Published in: Engineering Proceedings, 2024-01
DOI: 10.3390/engproc2024060012

Application of Image Analysis Techniques for Quality Assessment of Swiss-type Cheese
Presented at: 2021 International Conference on Information Technologies (InfoTech), 2021-09-16
DOI: 10.1109/infotech52438.2021.9548462

Krzysztof Wislocki | Engineering | Best Researcher Award

Prof Dr. Krzysztof Wislocki | Engineering | Best Researcher Award

Professor, Poznan University of Technology, Poland

👨‍🏫 Krzysztof Wisłocki, born in 1955, is a distinguished professor at Poznan University of Technology, specializing in combustion engines and thermal processes. With over four decades of academic and research experience, he has made significant contributions to engineering, both as a scholar and mentor. Prof. Wisłocki holds leadership positions in national and international research institutions and remains deeply involved in both education and scientific innovation.

Publication Profile

ORCID

Education

🎓 Prof. Wisłocki earned his Master of Engineering degree in 1979 from Poznan University of Technology. He obtained his Doctor of Engineering in 1987, followed by a Doctor of Science title in 2005. In 2014, he was awarded the prestigious title of full professor.

Experience

💼 Prof. Wisłocki is currently employed at the Institute of Powertrains and Aviation, Faculty of Civil and Transport Engineering, Poznan University of Technology. He previously held positions at various international institutions, including RWTH Aachen and FEV-Institute. His extensive teaching career spans decades, having lectured in both German and English on subjects such as supercharging, combustion, and scientific methodology.

Research Focus

🔬 His research expertise covers a wide range of topics related to thermal processes in combustion engines, turbocharging, direct injection in CI engines, and optical studies of combustion. He is also passionate about the history of thermal machines and engines.

Awards and Honors

🏅 Prof. Wisłocki has received numerous accolades, including the Medal of the Commission of National Education and the Gold Cross of Merit from the Republic of Poland. He is a prominent member of the Polish Scientific Society of Combustion Engines and currently serves as president of the Council of the National Museum of Agriculture and Food Industry.

Publications (Top Notes)

Analysis of Energy Transfer in the Ignition System for High-Speed Combustion Engines

Optimization of Two-Stage Combustion System Fueled by Lean-Burn Compressed Natural Gas Mixtures for Light-Duty Vehicle Engines

Experimental Study on Ignitability of Lean CNG/Air Mixture in the Multi-Stage Cascade Engine Combustion System

Optimization of Two-Stage Combustion System Fueled by Lean-Burn Compressed Natural Gas Mixtures for Light-Duty Vehicle Engines