Dr. Shengfei Ji | Mechanical | Best Researcher Award

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Dr. Shengfei Ji | Mechanical | Best Researcher Award

Dr. Shengfei Ji , China University of Mining and Technology, China

Shengfei Ji is a dedicated Ph.D. candidate in Mechatronic Engineering at the School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, P.R. China. With a strong academic and technical background, he focuses on developing intelligent systems to enhance the operational reliability of hydraulic machinery. His passion for research and innovation in fault diagnosis and predictive modeling has led to several impactful publications in renowned journals.

Publication Profile

Scopus

ORCID

🎓 Education Background

Shengfei Ji is currently pursuing his Ph.D. in Mechatronic Engineering at China University of Mining and Technology, where he is engaged in advanced studies on intelligent condition monitoring systems. His academic foundation includes rigorous training in machine learning, system dynamics, and hydraulic machinery.

💼 Professional Experience

As a Ph.D. researcher, Shengfei has collaborated with a multidisciplinary team on projects involving construction machinery and intelligent fault detection. His work involves both theoretical research and practical application, integrating AI technologies like graph convolutional networks and LSTM models with mechanical systems. He has co-authored research with industry and academic experts, further expanding his expertise in smart diagnostics.

🏆 Awards and Honors

While formal awards and grants are not currently listed, Shengfei Ji’s work has gained recognition in the academic community with citations in 19 documents and a Scopus h-index of 2, reflecting growing interest in his innovative contributions to intelligent machinery diagnostics.

🔬 Research Focus

Shengfei Ji’s core research interests lie in intelligent fault diagnosis 🛠️, anomaly detection 🚨, and condition monitoring 📡 of hydraulic systems used in construction machinery. His work primarily applies deep learning and graph-based methods to create predictive models that enhance machine efficiency and reliability.

📝 Conclusion

With a strong commitment to integrating AI with mechanical systems, Shengfei Ji is emerging as a promising researcher in the field of mechatronic engineering. His scientific contributions reflect a unique intersection of engineering insight and computational intelligence, positioning him for continued academic and industrial impact 🌐.

📚 Top Publications

  1. Multivariate Prediction Soft Sensor Model for Truck Cranes Based on Graph Convolutional Network and Random Forest
    Published in: Actuators, 2024

  2. A Soft Sensor Model for Predicting the Flow of a Hydraulic Pump Based on Graph Convolutional Network–Long Short-Term Memory
    Published in: Actuators, 2024

  3. Bucket Teeth Detection Based on Faster Region Convolutional Neural Network
    Published in: IEEE Access, 2021
    Cited by: 19 articles

 

Prof. Dr. Adrian Ioana | Engineering | Innovative Research Award

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Prof. Dr. Adrian Ioana | Engineering | Innovative Research Award

National University of Science and Technology POLITEHNICA Bucharest, Romania

Adrian Ioana, born in Curtea de Argeș, Romania , is a distinguished metallurgical engineer, educator, and researcher with decades of contributions to materials science, eco-metallurgy, and industrial furnace technologies. Currently serving as a Lecturer Doctor Engineer at the University “Politehnica” of Bucharest, Dr. Ioana is a prolific academic and inventor whose work bridges theoretical research and industrial application. His areas of expertise include electric arc furnaces, energy-saving metallurgical equipment, and biofuel-based combustion systems. He is an honorary member of prestigious organizations such as the Romanian Metallurgy Society (SRM) and has participated actively in Romania’s scientific advancement in metallurgy.

Publication Profile

ORCID

🎓 Education Background

Dr. Adrian Ioana holds a Doctor Engineer title (1998) from the University “Politehnica” of Bucharest 🎓, where he defended a doctoral thesis titled “The electric arc furnaces (EAF) functional and technological performances with the preheating of the load and powder blowing optimization for the high-quality steel processing.” He completed postgraduate academic studies in Management in 2004 from the same university and earlier earned a degree in Metallurgy (1979–1984) with a specialization in Extraction Metallurgy from the Polytechnic Institute of Bucharest.

💼 Professional Experience

With an expansive career beginning in 1984, Dr. Ioana has served in various esteemed positions, including Metallurgical Engineer at the Special Steel Complex in Târgoviște 🏭, Assistant-Engineer, Associate Professor, and now Lecturer Doctor Engineer at University “Politehnica” of Bucharest. Between 1987 and 1996, he was a Main Scientific Researcher at the Metallurgical Research Institute (ICEM), focusing on burner and energy recovery systems. His professional career also includes work as an Engineer at GRANTMETAL S.A., where he addressed technical challenges in burners and furnaces.

🏅 Awards and Honors

Dr. Ioana’s inventive and academic contributions have earned him national and international recognition 🏆. These include the Gold Medal at EUREKA 2002 in Brussels for his invention “Lance for Post-Combustion,” the 1999 Henry Ford European Conservation Award, and the Great Award of the Romanian Metallurgy Society in 1996. He also won First Prize at the ICEM Symposium in 1989 and other accolades for his work in ecological and advanced industrial burning systems.

🔬 Research Focus

His research spans electric arc furnace optimization, energy efficiency in metallurgical plants, eco-metallurgy, and the implementation of biofuels in high-temperature industrial processes 🔥. He is an active member of CrossRef, WSEAS, and other professional and research networks. Dr. Ioana has authored 16 specialty books, 21 ISI articles, 32 BDI articles, over 100 conference papers, and 7 industrial patents, with a particular interest in integrating computational systems with metallurgical engineering.

✅ Conclusion

Dr. Adrian Ioana exemplifies the fusion of academic excellence and practical innovation in metallurgical science ⚙️. With a legacy of pioneering sustainable, economical, and high-performance metallurgical systems, his work continues to influence both educational and industrial domains in Romania and abroad. As an educator, researcher, and engineer, he stands as a leading figure in advancing eco-technological transformations in heavy industry.

📚 Top Publications

Ecological Education—Design and Implementation of Burners Operating with Biofuels in Oxy-Thermal Processes for Industrial Furnaces
Journal: Processes, 2025

Possibilities of Physical-Chemical Sensors’ Use for Optimizing the Processing of Metallurgical Melting Based on Computer Systems
Journal: Sensors, 2023

Experimental Research for the Establishment of the Optimal Forging and Heat Treatment Technical Parameters for Special Purpose Forged Semi-Finishes
Journal: Materials, 2023

Metallurgy’s Impact on Public Health
Journal: Revista de Cercetare si Interventie Sociala, 2013

Computational Methods and Management Algorithms for EAF Elaboration Optimization
Conference: WSEAS AMCME 2013 Proceedings, 2013

Dehai Zhang | Mechanical Engineering | Excellence in Innovation

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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 sheets – Modern 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 process – Measurement, 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 method – Applied Optics, 2015, 54(25): 7534-7541 (SCI: CQ1GB), cited by 32.

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

Integrated precision evaluation method for 3D optical measurement system – Proceedings 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 system – Optical Engineering, 2010, 49(3): 037005-1-11 (SCI: 586RW), cited by 18.

Uniaxial tensile fracture of stainless steel-aluminum bi-metal – Proceedings 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

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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

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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