Yu Cheng Wang | Engineering | Best Research Article Award

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Assoc. Prof. Dr. Yu Cheng Wang | Engineering | Best Research Article Award

Aeronautical Engineering Of Chair at Chaoyang University of Technology | Taiwan

Prof. Dr. Yu Cheng Wang  is a distinguished academic and researcher, currently serving as Associate Professor and Chair of the Department of Aeronautical Engineering at Chaoyang University of Technology, Taiwan. He holds a Ph.D. in Industrial Engineering from Feng Chia University and has built a reputation for advancing research at the intersection of aeronautical systems, intelligent manufacturing, and explainable artificial intelligence. With more than publications in SCI and Scopus-indexed journals, his contributions have made significant impact in manufacturing optimization and decision-support systems. He has an h-index of  with over citations, reflecting the scholarly influence of his work. Prof. Wang also collaborates extensively with colleagues across Taiwan and internationally, bridging academic research and industry practice. His work on Industry 4.0 applications in semiconductor manufacturing showcases his commitment to developing transparent and human-centered AI systems that directly address real-world industrial challenges.

Professional Profile

ORCID Profile | Scopus Profile

Education 

Prof. Dr. Yu Cheng Wang pursued his academic journey with a focus on engineering, systems, and innovation. He earned his Ph.D. in Industrial Engineering from Feng Chia University, Taiwan, where his doctoral research laid the foundation for his expertise in intelligent systems and complex manufacturing processes. His educational background reflects a strong balance between theoretical modeling and applied problem-solving. Dr. Wang’s training emphasized operations research, production systems, and the integration of artificial intelligence into industrial applications, which later expanded into explainable AI frameworks for decision support. His solid grounding in industrial engineering principles has allowed him to extend his research into aeronautical systems and semiconductor manufacturing. With this interdisciplinary academic foundation, he has successfully bridged domains such as fuzzy theory, optimization, and smart manufacturing, enabling him to pursue pioneering research in Industry 4.0. His educational journey demonstrates a commitment to combining engineering rigor with innovative technological applications.

Experience 

Prof. Dr. Yu-Cheng Wang has extensive academic and professional experience that combines leadership, research, and industry collaboration. As Department Chair and Associate Professor at Chaoyang University of Technology, he oversees curriculum development, research strategy, and faculty mentorship in aeronautical engineering. His leadership extends to managing cross-disciplinary projects that integrate aeronautical engineering with intelligent manufacturing and artificial intelligence applications. He has spearheaded major research initiatives, including the Industry 4.0 XAI project for wafer-fab output forecasting, a groundbreaking effort that combines machine learning with interpretability for industrial decision-making. His experience also spans consultancy projects that provide practical solutions for semiconductor manufacturing, aligning academic research with industry needs. Prof. Wang’s editorial contributions over appointments demonstrate his recognition as a peer reviewer and thought leader in his field. Through collaborations with colleagues such as Tin-Chih Toly Chen and Chi-Wei Lin, he has broadened his international research presence and strengthened academia-industry knowledge exchange.

Research Interest

Prof. Dr. Yu-Cheng Wang’s research interests lie at the intersection of aeronautical engineering, smart manufacturing, and artificial intelligence. His primary focus is on explainable AI (XAI), where he develops models that not only achieve predictive accuracy but also provide transparency and interpretability for industrial decision-makers. He applies these methods to semiconductor manufacturing, Industry 4.0 environments, and production planning, ensuring that complex systems are optimized while remaining human-understandable. His work extends to fuzzy theory and decision analytics, particularly in contexts where uncertainty and complexity are critical, such as aerospace systems and large-scale industrial operations. Beyond manufacturing, Dr. Wang also explores applications of XAI in training and maintenance, including VR-based approaches for sustainable engineering education. By linking advanced computational models with practical engineering needs, his research contributes to both academic advancement and industry transformation, ensuring technological innovation supports efficiency, sustainability, and human factors integration.

Award and Honor

Prof. Dr. Yu-Cheng Wang has earned recognition for his scholarly contributions and leadership in the fields of aeronautical engineering and artificial intelligence. His publications in high-impact international journals such as The International Journal of Advanced Manufacturing Technology, Complex & Intelligent Systems, and Decision Analytics Journal highlight his academic influence and earned him strong citation metrics, with an h-index of 15 and more than citations. These achievements reflect his standing in the research community. His editorial appointments  across SCI and Scopus-indexed journals demonstrate the trust placed in him as a global reviewer and evaluator of cutting-edge research. He has also been actively involved in industry-driven projects, bridging academia and practical innovation, which further highlights his leadership. Recognition through research funding, collaborations, and invitations to contribute to international projects underscores his role as a thought leader. Collectively, these honors validate his impact as a forward-looking scientist and educator.

Research Skill

Prof. Dr. Yu Cheng Wang possesses a robust set of research skills that combine technical depth with interdisciplinary application. He is proficient in developing explainable AI frameworks, integrating advanced machine learning models with interpretability methods such as SHAP and rule-based surrogates to improve transparency in industrial decision systems. His expertise extends to fuzzy theory, production planning, and smart manufacturing analytics, making him adept at tackling complex and uncertain problems in both aeronautical and industrial domains. He has successfully applied these skills to semiconductor manufacturing, leading research on wafer-fab output forecasting that directly supports industry needs. In addition to computational modeling, Dr. Wang demonstrates strong skills in data analytics, simulation, and optimization, enabling him to bridge theory with real-world application. His experience with large-scale collaborations and consultancy projects further reflects his ability to integrate technical innovation with industry practices, positioning him as both a problem solver and research leader.

Publication Top Notes

Title: An explainable decision model for selecting facility locations in supply chain networks
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang; Yi-Chi Wang
Journal: Supply Chain Analytics
Year: 2025

Title: Enhancing the effectiveness of output projection in wafer fabrication using an Industry 4.0 and XAI approach
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang; Chi-Wei Lin
Journal: The International Journal of Advanced Manufacturing Technology
Year: 2024

Title: Adapted techniques of explainable artificial intelligence for explaining genetic algorithms on the example of job scheduling
Authors: Yu-Cheng Wang; Toly Chen
Journal: Expert Systems with Applications
Year: 2024

Title: Evaluating innovative future robotic applications in manufacturing using a fuzzy collaborative intelligence approach
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang
Journal: The International Journal of Advanced Manufacturing Technology
Year: 2024

Title: A heterogeneous fuzzy collaborative intelligence approach: Air quality monitor selection study
Authors: Tin-Chih Toly Chen; Yu-Cheng Lin; Yu-Cheng Wang
Journal: Applied Soft Computing
Year: 2023

Title: Prediction of engine failure time using principal component analysis, categorical regression tree, and back propagation network
Authors: Yu-Cheng Wang
Journal: Journal of Ambient Intelligence and Humanized Computing
Year: 2023

Title: Improving people’s health by burning low-pollution coal to improve air quality for thermal power generation
Authors: Tin-Chih Toly Chen; Teng Chieh Chang; Yu-Cheng Wang
Journal: Digital Health
Year: 2023

Title: A selectively calibrated derivation technique and generalized fuzzy TOPSIS for semiconductor supply chain localization assessment
Authors: Toly Chen; Yu-Cheng Wang; Pin-Hsien Jiang
Journal: Decision Analytics Journal
Year: 2023

Title: New XAI tools for selecting suitable 3D printing facilities in ubiquitous manufacturing
Authors: Yu-Cheng Wang; Toly Chen
Journal: Complex & Intelligent Systems
Year: 2023

Title: A modified random forest incremental interpretation method for explaining artificial and deep neural networks in cycle time prediction
Authors: Toly Chen; Yu-Cheng Wang
Journal: Decision Analytics Journal
Year: 2023

Title: 3D Printer Selection for Aircraft Component Manufacturing Using a Nonlinear FGM and Dependency-Considered Fuzzy VIKOR Approach
Authors: Yu-Cheng Wang; Tin-Chih Toly Chen; Yu-Cheng Lin
Journal: Aerospace
Year: 2023

Title: An efficient approximating alpha-cut operations approach for deriving fuzzy priorities in fuzzy multi-criterion decision-making
Authors: Tin-Chih Toly Chen; Yu-Cheng Wang; Min-Chi Chiu
Journal: Applied Soft Computing
Year: 2023

Title: A novel auto-weighting deep-learning fuzzy collaborative intelligence approach
Authors: Yu-Cheng Wang; Tin-Chih Toly Chen; Hsin-Chieh Wu
Journal: Decision Analytics Journal
Year: 2023

Title: An explainable deep-learning approach for job cycle time prediction
Authors: Yu-Cheng Wang; Toly Chen; Min-Chi Chiu
Journal: Decision Analytics Journal
Year: 2023

Conclusion

Dr. Yu-Cheng Wang has consistently demonstrated academic excellence and research innovation across aeronautical engineering, explainable AI, and smart manufacturing systems. In publications in leading SCI/Scopus-indexed journals, an h-index of , and more than  citations, his work bridges theory with impactful industrial applications, particularly in semiconductor manufacturing and Industry 4.0 transformations. His leadership as Department Chair, coupled with collaborations with renowned scholars, highlights his influence on both research and education. Recognized for advancing interpretable AI for real-world adoption, Dr. Wang’s contributions embody the spirit of innovation, making him a strong and deserving candidate for the Best Researcher Award.

Kurban Yasar | Agricultural Science and Innovation | Best Industrial Research Award

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Assist. Prof. Dr. Kurban Yasar | Agricultural Science and Innovation | Best Industrial Research Award

Assist. Prof. Dr at Osmaniye Korkut Ata University, Turkey

Assist. Prof. Dr. Kurban Yasar is an accomplished Assistant Professor in Food Engineering at Osmaniye Korkut Ata University, Türkey.  With over two decades of experience in food science, dairy technology, and functional foods, he has become a respected scholar in the field. His research focuses on improving food quality, safety, and processing methods, particularly in dairy and fermented products like Kashar and Ezine cheese . He has authored numerous high-impact journal articles and led various national projects in Turkey. Dr. Yaşar has supervised many graduate theses, emphasizing innovation in traditional food products and dietary improvements. With expertise in proteolysis, sensory evaluation, and functional ingredient use, he bridges scientific rigor with industry relevance . His work contributes significantly to advancing food engineering systems, making him a standout candidate for awards in engineering systems research, sustainability, and smart food technologies .

Professional Profile

Scopus Profile | ORCID Profile

Education

Assist. Prof. Dr. Kurban Yasar holds a Ph.D. in Food Engineering from Çukurova University  , where he explored the effects of coagulating enzymes and ripening time on Kashar cheese. He earned his M.Sc. from Trakya University , focusing on the impact of vacuum-packing methods on cheese quality . His undergraduate degree was completed at Atatürk University , where he laid the foundation for his scientific career in food engineering. Throughout his academic path, Dr. Yaşar developed deep expertise in dairy technology, food processing, and biochemistry. His studies consistently emphasized traditional Turkish dairy products, applying scientific rigor to enhance safety, nutrition, and sensory appeal . His strong educational foundation has shaped his long-term contributions to academia, making him a trusted expert in food quality innovation, food microbiology, and processing optimization .

Experience 

Assist. Prof. Dr. Kurban Yasar began his academic journey as a Research Assistant at Çanakkale Onsekiz Mart University and Çukurova University. He became an Assistant Professor at Çanakkale Onsekiz Mart University  and then joined Osmaniye Korkut Ata University in , where he continues to contribute to teaching and research in Food Engineering . Over his career, he has managed and participated in numerous national and institutional projects, focusing on food quality, dairy fermentation, ice cream innovations, and functional food development  Dr. Yaşar is also a prolific mentor, having supervised over ten graduate theses. His expertise in rheology, food texture analysis, and compositional studies has made him a key contributor to food process optimization. Through these roles, he has demonstrated a strong commitment to research excellence and academic leadership, building a legacy of innovation and impactful publications across multiple food systems .

Research Interest

Assist. Prof. Dr. Kurban Yasar research interests lie primarily in dairy technology , food quality optimization , functional ingredients , and traditional Turkish fermented products. He specializes in rheology, proteolysis, and food safety, often applying experimental techniques to improve texture, flavor, and nutritional profiles. His recent work explores reducing sodium content in cheese, incorporating plant-based stabilizers, and enhancing shelf-life of traditional foods without compromising taste . He is also engaged in aflatoxin reduction in peanut oil and enriching ice creams and yogurts with dietary fibers and prebiotics . His multidisciplinary focus blends food chemistry, biochemistry, microbiology, and process engineering, making his research highly applicable in the context of health-focused and sustainable food systems. Dr. Yasar’s deep commitment to advancing science in both industrial and artisanal food production positions him as a vital contributor to engineering systems in food innovation .

Award and Honor

Assist. Prof. Dr. Kurban Yasar is a prominent researcher with multiple recognitions, though many of his contributions have come through national and institutional projects . He served as principal investigator on numerous university-backed studies and received support from TÜBİTAK (The Scientific and Technological Research Council of Turkey) for his innovative food engineering research  His project on probiotic yogurt development and aflatoxin mitigation in peanuts have had regional impact . While formal global awards may not yet be documented, his pioneering work in functional dairy products, food safety, and smart ingredient utilization make him an ideal nominee for honors such as the Engineering Systems Scholar Recognition, Smart Systems Innovation Award, or AI in Systems Engineering Award. His leadership in research projects and thesis supervision further reflects his academic excellence, innovation, and dedication to sustainable food engineering practices .

Research Skill

Assist. Prof. Dr. Kurban Yasar possesses a comprehensive set of research skills in food science and engineering . His expertise spans experimental design, sensory evaluation, rheological analysis, proteolysis monitoring, and chemical/microbiological quality control. He excels in dairy fermentation, fat replacement techniques, and product texture optimization . His lab skills include analytical chemistry, food simulation, and stabilizer evaluation in beverages and dairy. Additionally, he applies advanced data analysis for product characterization, including degradation kinetics, flow modeling, and volatile compound identification . Dr. Yaşar is skilled in mentoring graduate students and coordinating interdisciplinary research teams. His experience in grant writing, project management, and academic publishing enhances his leadership profile . With a focus on food safety, clean-label production, and sustainable processing, he demonstrates strong abilities in developing innovative, health-conscious, and consumer-appealing food products. These skills position him as a forward-thinking researcher in engineering systems and food technology .

Publication Top Notes

Title: Reducing sodium in Kashar cheese by partial substitution of NaCl with KCl
Authors: Yaşar, K.; Şahingil, D.; Hayaloğlu, A.A.
Year: 2025
Citation: Not yet cited (newly published)
DOI: 10.1016/j.idairyj.2025.106239

Title: The Effect of Different Stabilisers on the Quality Properties of Tahini Milk
Authors: Esma Aycan; Kurban Yaşar
Year: 2025
Citation: Not yet cited
DOI: 10.18016/ksutarimdoga.vi.1563485

Title: The Effect of Peanut Tahini Utilization on the Mineral Content of Halva
Authors: Venüs Karakuş; Kurban Yaşar
Year: 2025
Citation: Not yet cited
DOI: 10.17780/ksujes.1559065

Title: Impact of different extraction processes on aflatoxin contamination in peanut oil
Authors: Sahin, K.; Bozdogan, A.; Yasar, K.; Eker, T.; Kabak, B.
Year: 2022
Citation: Scopus ID: 85118866037
DOI: 10.1007/s13197-021-05296-x

Title: Rheological behavior of sumac extract as affected by temperature and concentration
Authors: Bozdogan, A.; Yasar, K.; Soyler, M.; Ozalp, C.
Year: 2020
Citation: Scopus ID: 85090718869
DOI: 10.33263/BRIAC106.71207134

Title: Effects of apricot fibre on characteristics of nonfat probiotic yoghurts
Authors: Karaca, O.B.; Güzeler, N.; Tangüler, H.; Yaşar, K.; Akın, M.B.
Year: 2019
Citation: Scopus ID: 85063287674
DOI: 10.3390/foods8010033

Title: Changes during ripening in Kashar cheese made using different milk types
Authors: Temizkan, R.; Yasar, K.; Hayaloglu, A.A.
Year: 2014
Citation: Scopus ID: 84940272239
DOI: 10.1111/ijfs.12597

Title: Characterizing volatile compounds in Gokceada artisanal goat cheese
Authors: Hayaloglu, A.A.; Yasar, K.; Tolu, C.; Sahingil, D.
Year: 2013
Citation: Scopus ID: 84878375595
DOI: 10.1016/j.smallrumres.2013.01.001

Title: Influence of goat breeds and starter cultures on Gokceada cheese
Authors: Hayaloglu, A.A.; Tolu, C.; Yasar, K.
Year: 2013
Citation: Scopus ID: 84878372148
DOI: 10.1016/j.smallrumres.2013.03.001

Title: Volatiles and sensory evaluation of Gokceada goat milk cheese
Authors: Hayaloglu, A.A.; Tolu, C.; Yasar, K.; Sahingil, D.
Year: 2013
Citation: Scopus ID: 84876740635
DOI: 10.3168/jds.2012-6170

Title: Effects of coagulant type on Kashar cheese properties
Authors: Yasar, K.; Guzeler, N.
Year: 2011
Citation: Scopus ID: 79960350909
DOI: 10.1111/j.1471-0307.2011.00679.x

Title: Characterization of aroma-active compounds in Ezine cheese
Authors: Karagul Yuceer, Y.; Tuncel, B.; Guneser, O.; Engin, B.; Isleten, M.; Yasar, K.; Mendes, M.
Year: 2009
Citation: Scopus ID: 70349462643
DOI: 10.3168/jds.2009-2124

Title: Dynamic rheological characterization of salep-based beverages
Authors: Yaşar, K.; Kahyaoglu, T.; Şahan, N.
Year: 2009
Citation: Scopus ID: 60149112636
DOI: 10.1016/j.foodhyd.2008.11.005

Title: Rheological and sensory characteristics of ice creams with fat replacers
Authors: Karaca, O.B.; Güven, M.; Yasar, K.; Kaya, S.; Kahyaoglu, T.
Year: 2009
Citation: Scopus ID: 58249103968
DOI: 10.1111/j.1471-0307.2008.00456.x

Title: Influence of fat replacers on low-fat Kashar cheese quality
Authors: Sahan, N.; Yasar, K.; Hayaloglu, A.A.; Karaca, O.B.; Kaya, A.
Year: 2008
Citation: Scopus ID: 43049135190
DOI: 10.1017/S0022029907002786

Conclusion

Assist. Prof. Dr. Kurban Yasar stands out as a dedicated academic and innovator in the field of food engineering, with a special focus on dairy technology, functional ingredients, and traditional Turkish food systems. His work bridges academic excellence with industry needs, offering practical solutions for enhancing food quality, safety, and sustainability. With extensive experience in proteolysis, rheology, and food microbiology, Dr. Yasar’s research is both rigorous and forward-thinking. His publications in high-impact journals, backed by his role in national projects and thesis supervision, demonstrate his strong leadership in academic and industrial food innovation. He is a recipient of the Best Industrial Research Award, recognizing his ability to merge scientific research with real-world applications. With a passion for innovation and health-focused food systems, Dr. Yasar continues to shape the future of food science through evidence-based research, mentoring, and collaborative initiatives. His contributions make him a key figure in smart and sustainable food technologies.