Furkan Aydin | Engineering | Best Researcher Award

Mr. Furkan Aydin | Engineering | Best Researcher Award

Polytechnic of Milan | Italy

Author profile

Orcid

🎓 Early Academic Pursuits

Furkan Aydin’s academic journey began with a strong foundation in civil engineering. He completed his BSc in Civil Engineering from Anadolu University, Eskişehir, Turkey, where he was part of an English education program. His academic excellence was further enriched by an Erasmus+ exchange program at Halmstad University, Sweden. Furkan later pursued an MSc in Civil Engineering for Risk Mitigation at Politecnico di Milano, Italy. His master's thesis focused on a method to process eye-tracker data with image processing algorithms for driver behavior analysis, showcasing his ability to merge traditional engineering with modern technological approaches.

🛠️ Professional Endeavors

Furkan Aydin’s professional career is marked by diverse roles in civil engineering and risk management. His journey started with internships at Yörük Yapı in Istanbul and Gülermak Heavy Industries Construction & Contracting Co. in Warsaw, where he gained hands-on experience in civil engineering. He later transitioned to a Site Civil Engineer role at Yörük Yapı and subsequently worked as a Technical Office Engineer, responsible for tendering and procurement for significant projects like the Annapol Tramline Depot in Warsaw. Currently, Furkan is a Reinsurance Associate Specialist at Anadolu Sigorta in Istanbul, reflecting his versatility in both engineering and financial risk management.

📚 Contributions and Research Focus

Furkan has made notable contributions in the field of civil engineering, particularly in risk management and driver behavior analysis. His research interests are broad, encompassing geospatial data processing, structural assessment, fire and blast safety, and transport management in emergency planning. His work has been recognized in academic publications, including a paper on analyzing driver visual behavior using eye-tracker data, published in Applied Sciences.

🏆 Accolades and Recognition

Furkan’s academic and professional excellence has been recognized through various certifications and accolades. He has earned certifications in Python programming, data science, and MATLAB, among others. His proficiency in civil engineering tools like AutoCAD, STA4CAD, and SAP2000, coupled with his language skills in English, Italian, and Turkish, positions him as a well-rounded professional in his field.

🌍 Impact and Influence

Furkan Aydin’s work in risk management and civil engineering has had a significant impact on the projects he has been involved in, particularly in the context of infrastructure development and emergency planning. His research on driver behavior analysis using cutting-edge technology contributes to the broader understanding of traffic safety and urban planning.

🌟 Legacy and Future Contributions

As Furkan continues his career, his legacy is likely to be defined by his innovative approach to integrating technology with traditional civil engineering practices. His future contributions will likely focus on advancing the fields of risk management, infrastructure development, and urban planning, making him a pivotal figure in shaping the future of civil engineering.

 

Publications 📚


📄 An Image Processing-Based Method to Analyze Driver Visual Behavior Using Eye-Tracker Data
Authors: Furkan Aydin, Giandomenico Caruso, Lorenzo Mussone
Journal: Applied Sciences
Year: 2024


 

Sachin Yele | Engineering | Best Researcher Award

Mr. Sachin Yele | Engineering | Best Researcher Award

Medi-Caps University | India

Author Profile

Scopus

Google Scholar

Early Academic Pursuits

Mr. Sachin Yele's academic journey began with a strong foundation in Information Technology. He completed his Bachelor of Engineering (B.E.) in Information Technology from Jawaharlal Institute of Technology, Borawan, India, in 2006, securing an impressive 73.71%. Building on this foundation, he pursued a Master of Technology (M.Tech.) in Computer Science & Engineering from Sri Satya Sai Institute of Science & Technology, Sehore, under Rajiv Gandhi Prodhyogiki Viswavidhyalaya, Bhopal, India, graduating in 2012 with a commendable 71.7%.

Professional Endeavors

Mr. Yele's professional journey spans over 13 years in academia, beginning as a Lecturer in the Department of Computer Science and Engineering at Jawaharlal Institute of Technology, Borawan, in July 2006. His dedication and expertise soon led him to the role of Assistant Professor (Head) at the Department of Computer Science and Engineering, Sanghvi Institute of Science & Management, Indore, India, where he served from July 2011 to April 2017. Currently, he holds the position of Assistant Professor in the Department of Information Technology at Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, since May 2017.

Contributions and Research Focus

Mr. Yele has made significant contributions to the field of Computer Science, particularly in Data Mining, Web Mining, Web Content Mining, and Wireless Sensor Networks. His research has been presented and published in various international journals and conferences in India and abroad. His teaching interests include Software Engineering, Computer Networking, Data Mining, Network Management, Network Security, and Wireless Sensor Networks. He has attended workshops to stay abreast of recent trends, notably a one-week STTP on "Recent Trends in Artificial Intelligence" in November 2008 at Jawaharlal Darda Institute of Engineering and Technology, Yavatmal, Maharashtra.

Accolades and Recognition

Mr. Yele's dedication to research and teaching has been recognized through his numerous published works. He has authored seven papers in international journals, one paper in an international conference, and six papers in national conferences. His role as an educator has also been marked by his administrative capabilities, such as conducting B.E. training programs, practical examinations, project guidance for B.E. students, and thesis guidance for M.Tech. students.

Impact and Influence

Mr. Yele's impact on the academic community is evident through his extensive teaching and research activities. His work in Data Mining and Wireless Sensor Networks has contributed to the advancement of these fields. As an educator, he has mentored numerous students, helping them achieve their academic and professional goals. His administrative roles have furthered the development of robust academic programs and research initiatives.

Legacy and Future Contributions

Mr. Yele's legacy in the field of Computer Science is built on his commitment to education and research. His future contributions are likely to continue influencing the realms of Data Mining and Wireless Sensor Networks. His ongoing role at Shri Vaishnav Vidyapeeth Vishwavidyalaya provides a platform for him to nurture future generations of engineers and researchers, ensuring the continued advancement of technology and innovation.

 

Notable Publications

Blockchain-based secure dining: Enhancing safety, transparency, and traceability in food consumption environment 2024 (2)

 

 

 

Mokh Afifuddin | Engineering | Best Student Research Project

Mr. Mokh Afifuddin | Engineering | Best Student Research Project

Pukyong National University | South Korea

Author Profile

Scopus

Orcid

Early Academic Pursuits

Mr. Mokh Afifuddin commenced his academic journey with a Bachelor of Engineering in Industrial Engineering, specializing in Industrial Optimization Systems, at Yudharta University, Indonesia. This foundational phase led him to pursue a Master of Engineering in Industrial Engineering, with a focus on the Development of Industrial Management Systems, at Institut Teknologi Sepuluh Nopember (ITS), Indonesia, under the prestigious BPPDN scholarship by the Ministry of Education and Culture.

Professional Endeavors

Mr. Afifuddin's professional career is characterized by a diverse range of roles, including teaching at high school and university levels, lecturing, and occupying leadership positions in academia. Noteworthy roles include lecturer at Yudharta University, lecturer at the Textile Industry Community Academy, Chief of Professional Certification Body (LSP) P1 at AK-Textile and data analyzing staff at the Ministry of Industry, Indonesia.

Contributions and Research Focus

Mr. Afifuddin's research contributions span various domains of industrial engineering and management, with a focus on performance measurement systems, factory layout optimization, occupational health and safety procedures, and textile engineering. His publications and research endeavors elucidate innovative approaches to enhance production efficiency, mitigate workplace hazards, and optimize industrial processes.

Accolades and Recognition

Throughout his academic and professional journey, Mr. Afifuddin has received notable recognition and grants, including the BPPDN full scholarship for his master's degree, the "Spirit" research grant from the Ministry of Industry, Indonesia, and publications in esteemed journals such as the Journal of Industrial Engineering and Management.

Impact and Influence

Mr. Afifuddin's research and professional contributions have made a significant impact on the fields of industrial engineering, textile engineering, and occupational health and safety procedures. His work addresses critical challenges faced by industries, offering practical solutions to enhance productivity, safety standards, and operational efficiency.

Legacy and Future Contributions

Mr. Afifuddin's legacy lies in his dedication to advancing industrial engineering practices and shaping the future of textile engineering. His research initiatives and leadership roles within professional associations pave the way for the next generation of industrial engineers, ensuring sustainable development and continuous improvement in industrial processes and workplace safety standards.

Notable Publications

Predictive modeling for technology convergence: A patent data-driven approach through technology topic networks 2024

DESIGNING TEXTILE WASTE SHREDDER MACHINE FOR CONTINOUS PRODUCT 2021

A Supervised Learning-Based Approach to Anticipating Potential Technology Convergence 2022 (4)