Ilkay Cinar – Artificial intelligence – Best Researcher Award

Ilkay Cinar - Artificial intelligence - Best Researcher Award

Selcuk University - Turkey

AUTHOR PROFILE

GOOGLE SCHOLAR

SUMMARY

İlkay Çınar is a dynamic assistant professor and AI researcher dedicated to harnessing the power of artificial intelligence for practical solutions in agriculture, healthcare, and safety systems. Through academic excellence, research innovation, and committed mentorship, he continues to shape both technology and the minds that will drive its future.

EARLY ACADEMIC PURSUITS

İlkay Çınar began his academic journey in computer and electronics systems education, earning dual bachelor's degrees from Selçuk University in 2012 and 2018. His foundational years were marked by a growing fascination with artificial intelligence and image processing. He continued to explore machine learning in applied domains through his master’s research, focusing on classifying rice varieties using AI. His doctoral work on semantic image inpainting using deep generative models established his early dedication to pushing the boundaries of machine learning in visual computing.

PROFESSIONAL ENDEAVORS

As an academic at Selçuk University’s Department of Computer Engineering, İlkay Çınar advanced through the ranks from lecturer to assistant professor. He taught both undergraduate and graduate courses such as Image Processing, Web Architecture, and Smart Factory Systems. His work also included administrative leadership, serving as Deputy Director of the Distance Education Center. Throughout, he contributed to national research projects, emphasizing AI’s real-world applications across industries.

CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Çınar’s research centers on deep learning, machine learning, and their applications in agriculture, healthcare, and industry. His prolific publication record—spanning from automatic quality control in food processing to the detection of eye diseases and diabetes—demonstrates a commitment to interdisciplinary innovation. He has explored CNN, LSTM, and hybrid models, often with a focus on feature optimization, transfer learning, and mobile deployment, making his research impactful beyond academic circles.

ACCOLADES AND RECOGNITION

İlkay Çınar has published extensively in high-impact journals such as Computers and Electronics in Agriculture, Biomedical Signal Processing and Control, and European Food Research and Technology. His scholarly output includes more than 25 peer-reviewed international journal articles, numerous conference proceedings, and authored book chapters. His expertise has been acknowledged through active participation in prestigious conferences and ongoing collaborative projects, including TUBITAK-funded studies.

IMPACT AND INFLUENCE

Dr. Çınar’s research contributes significantly to societal needs by addressing challenges like food safety, medical diagnostics, and industrial automation. His supervised theses involve real-world issues, such as workplace safety violations and disease detection, underlining his mentorship’s practical value. He is helping shape a new generation of AI practitioners capable of integrating technological innovations with community needs.

LEGACY AND FUTURE CONTRIBUTIONS

Looking forward, İlkay Çınar is poised to continue advancing the integration of AI in health, agriculture, and environmental monitoring. His interdisciplinary focus positions him as a key figure in expanding the real-world applicability of deep learning in Turkey and beyond. His work on smart agriculture, medical image analysis, and automated quality assessment will likely have lasting impacts on both research and industrial sectors

NOTABLE PUBLICATIONS

Title: Classification of rice varieties with deep learning methods
Authors: M. Koklu, I. Cinar, Y.S. Taspinar
Journal: Computers and Electronics in Agriculture

Title: Classification of rice varieties using artificial intelligence methods
Authors: I. Cinar, M. Koklu
Journal: International Journal of Intelligent Systems and Applications in Engineering

Title: Classification of Date Fruits into Genetic Varieties Using Image Analysis
Authors: M. Koklu, R. Kursun, Y.S. Taspinar, I. Cinar
Journal: Mathematical Problems in Engineering

Title: Classification and analysis of pistachio species with pre-trained deep learning models
Authors: D. Singh, Y.S. Taspinar, R. Kursun, I. Cinar, M. Koklu, I.A. Ozkan, H.N. Lee
Journal: Electronics

Title: Identification of Rice Varieties Using Machine Learning Algorithms
Authors: I. Cinar, M. Koklu
Journal: Journal of Agricultural Sciences (Tarım Bilimleri Dergisi)

Title: Classification of Raisin Grains Using Machine Vision and Artificial Intelligence Methods
Authors: I. Cinar, M. Koklu, S. Tasdemir
Journal: Gazi Mühendislik Bilimleri Dergisi (GMBD)

Francisco J. G. Silva – Robotics – Excellence in Research

Francisco J. G. Silva - Robotics - Excellence in Research

Polytechnic Institute of Porto - Portugal

AUTHOR PROFILE

SCOPUS

🎓 ACADEMIC AND PROFESSIONAL EDUCATION

Francisco J. G. Silva is a Mechanical Engineer with extensive qualifications, including Habilitation, PhD, MSc, and BSc degrees. His educational background is complemented by a substantial career in both academic teaching and industrial research, bridging the gap between scientific knowledge and practical application.

🏛️ UNIVERSITY TEACHING AND ADMINISTRATION

Silva has served as an Associate Professor with Habilitation at ISEP – School of Engineering, Polytechnic of Porto (IPP), where he has been instrumental in shaping the mechanical engineering curriculum and directing the master’s degree program. He has also held significant administrative roles, including Director of the BSc Degree in Mechanical Engineering at ESEIG and Sub-Director of the Mechanical Engineering Department at ISEP.

📚 RESEARCH AND PUBLICATIONS

With over 300 papers published in prestigious journals such as ELSEVIER, SPRINGER, and MDPI, Silva's research encompasses a broad spectrum of topics within Mechanical Engineering, Materials Science, and Industrial Engineering. His work has significantly contributed to advancements in advanced manufacturing processes, materials characterization, and additive manufacturing.

📝 BOOKS AND EDITORIAL WORK

Silva is a prolific author and editor, having published 16 books, including three written in 2023. He has contributed to numerous special issues as a Guest Editor for renowned journals, showcasing his expertise in various fields. His role as founder of the Journal of Coating Science and Technology further highlights his impact on the scientific community.

🌐 CONFERENCE LEADERSHIP AND COMMITTEES

He has been an active participant and leader in the international conference circuit, serving as General Chair of FAIM 2023 and a member of several scientific committees for conferences across the globe. His involvement in these conferences underscores his commitment to advancing the field through collaborative and innovative research.

🏆 RECOGNITIONS AND AWARDS

Silva’s contributions to the field have been recognized with multiple accolades, including the Top Reviewer Awards from Publons and MDPI. He has also received Best Paper Awards and other honors, reflecting his esteemed position in the academic and research community.

🚀 CURRENT PROJECTS AND FUTURE INITIATIVES

Currently, Silva is leading the DRIVOLUTION project at ISEP, a research initiative focused on advanced manufacturing technologies, with a funding of 1.5 million euros. His ongoing projects and research efforts continue to drive advancements in mechanical engineering and materials science, contributing to both academic and industrial advancements.

NOTABLE PUBLICATION

Calcium phosphate–calcium titanate composite coatings for orthopedic applications
Authors: J.E. Arce, A.E. Arce, Y. Aguilar, L. Yate, S. Moya, C. Rincón, O. Gutiérrez
Year: 2016
Journal: Ceramics International

Production and characterization of aluminum powder derived from mechanical saw chips and its processing through powder metallurgy
Authors: A.E.A.L.M. Rojas-Díaz, L.E. Verano-Jiménez, E. Muñoz-García, J. Esguerra-Arce
Year: 2019
Journal: Powder Technology

The evolution of the microstructure and properties of ageable Al-Si-Zn-Mg alloy during the recycling of milling chips through powder metallurgy
Authors: P.A. Pulido-Suárez, K.S. Uñate-González, J.G. Tirado-González, J. Esguerra-Arce
Year: 2020
Journal: Journal of Materials Research and Technology

Influence of the Al content on the in vitro bioactivity and biocompatibility of PVD Ti1−xAlxN coatings for orthopedic applications
Authors: A. Esguerra-Arce, J. Esguerra-Arce, L. Yate, C. Amaya, L.E. Coy, Y. Aguilar, et al.
Year: 2016
Journal: RSC Advances

Morteros geopolimericos reforzados con fibras de carbono basados en un sistema binario de un subproducto industrial
Authors: S. Bernal, J. Esguerra, J. Galindo, R.M. de Gutiérrez, E. Rodríguez, et al.
Year: 2009
Journal: Revista Latinoamericana de Metalurgia y Materiales