Dr. Eyüp Emre Ülkü is an accomplished academic and researcher in the field of computer engineering. As an Assistant Professor at Marmara University in Turkey, he has made significant contributions to wireless communications, ad hoc networks, image processing, and educational technologies in engineering education. With a doctorate from Marmara University, his expertise spans a wide array of computer science domains, including machine learning, artificial intelligence, and computer networks. His extensive publication record in high-impact journals, with multiple articles indexed by SCI, SSCI, and AHCI, underlines his profound influence on his field. Additionally, his interdisciplinary approach has helped bridge the gap between theoretical research and practical applications in areas like healthcare and sustainable engineering. Dr. Ülkü’s research endeavors reflect his commitment to advancing technological innovation and improving educational practices, making him a notable figure in academia and industry.
Professional Profile
Education
Dr. Eyüp Emre Ülkü’s academic journey is distinguished by his thorough education in computer engineering and technology. He completed his Doctorate in Computer Engineering from Marmara University (2012-2018), where he focused on the development of efficient communication models in wireless networks. Prior to this, he obtained a Postgraduate degree (2010-2012) from Marmara University in Computer Control Education. His undergraduate studies at Yildiz Technical University (2013-2016) in the Faculty of Electrical & Electronics, and his previous undergraduate education at Marmara University (2004-2009) in Electronic and Computer Education, laid the foundation for his deep expertise in computer engineering. This strong academic background has not only equipped him with a solid theoretical base but also fostered an aptitude for conducting advanced research in his areas of interest.
Professional Experience
Dr. Ülkü’s professional experience spans several pivotal roles in academia and research. He has served as an Assistant Professor at Marmara University’s Faculty of Technology since 2020, where he teaches undergraduate courses in programming, algorithms, and operating systems. His earlier roles include working as a Research Assistant during his Ph.D. and Master’s programs at Marmara University, contributing to a wide range of research projects. His academic expertise is complemented by his administrative and leadership roles in shaping the curriculum and research focus at his institution. Additionally, Dr. Ülkü’s interdisciplinary approach in the intersection of computer engineering and educational technologies has enhanced the learning experiences of engineering students. He has gained recognition as a scholar committed to advancing both technical knowledge and practical educational tools.
Research Interests
Dr. Eyüp Emre Ülkü’s research interests are diverse, with a primary focus on wireless communications, ad hoc networks, and image processing. His work in computer networks explores cutting-edge models for improving the performance and reliability of communication systems. He is particularly interested in artificial intelligence applications in these areas, such as machine learning for pattern recognition and network optimization. Another area of his research focuses on the use of educational technologies to improve engineering education, with a particular interest in engineering student perceptions and the integration of social networks into the learning process. Dr. Ülkü’s ability to combine these fields has led to practical solutions in various sectors, including healthcare and environmental sustainability. His interdisciplinary research has contributed significantly to the development of advanced computational models and real-world applications.
Research Skills
Dr. Ülkü possesses a broad array of research skills that enable him to conduct comprehensive and impactful studies in multiple domains of computer engineering. He is skilled in wireless communication protocols, ad hoc network architecture, and artificial intelligence algorithms such as machine learning and pattern recognition. His expertise extends to image processing, specifically in automated defect detection and medical imaging. His proficiency in software engineering, coupled with his ability to apply AI techniques to solve real-world problems, highlights his versatility as a researcher. Additionally, Dr. Ülkü has demonstrated an adeptness in data analysis, statistical modeling, and algorithm development, making him a strong contributor to interdisciplinary projects. His ability to integrate network theory, data science, and educational technology positions him as a leading expert in advancing both theoretical and practical aspects of computer engineering.
Awards and Honors
Dr. Eyüp Emre Ülkü has been recognized with multiple academic accolades, owing to his outstanding research and contributions to the field of computer engineering. His published works in high-impact journals indexed by SCI, SSCI, and AHCI have earned him recognition within both academic and professional circles. Although specific honors are not detailed in his curriculum vitae, his consistent publication of influential papers, particularly in fields such as wireless communications, image processing, and engineering education, speaks to the quality and importance of his research. Dr. Ülkü’s engagement in global research networks, as evidenced by his ORCID and Scopus profiles, further exemplifies the international acknowledgment of his academic achievements. His contribution to the academic community, especially in enhancing educational methods through technology, reflects a broader commitment to advancing the knowledge base of his field.
Conclusion
Dr. Eyüp Emre Ülkü is a distinguished scholar with a wide-ranging and impactful research profile in the field of computer engineering. His comprehensive education, spanning from undergraduate studies to a Ph.D., laid the groundwork for his current work. Throughout his career, he has contributed significantly to the advancement of wireless communication technologies, ad hoc networks, and image processing. His interdisciplinary research, which blends theory with practical application, has made notable contributions to engineering education and artificial intelligence. Dr. Ülkü’s commitment to education, coupled with his collaborative work with international peers, places him at the forefront of his field. His research has not only expanded the boundaries of computer engineering but also demonstrated the value of technological innovation in solving real-world problems. With continued growth in his research endeavors, Dr. Ülkü is poised to make even more significant contributions to both academia and industry in the future.
Publication Top Notes
- A web scraping app for smart literature search of the keywords
- Authors: Mutlu, M.A., Ulku, E.E., Yildiz, K.
- Year: 2024
- Municipal Solid Waste Management: A Case Study Utilizing DES and GIS
- Authors: Uslu, B.Ç., Kerçek, V.A., Şahin, E., Doğan, B., Ülkü, E.E.
- Year: 2024
- du-CBA: Data-agnostic and incremental classification-based association rules extraction architecture
- Authors: Büyüktanir, B., Yildiz, K., Ülkü, E.E., Bütüktanir, T.
- Year: 2023
- Citations: 3
- NFT-based Asset Management System
- Authors: Abaci, I., Ulku, E.E.
- Year: 2022
- Citations: 5
- Forecasting Greenhouse Gas Emissions Based on Different Machine Learning Algorithms
- Authors: Ulku, I., Ulku, E.E.
- Year: 2022
- Citations: 3
- Computer Vision Based Intelligent 3D CNC Machines
- Authors: Demir, E., Yildiz, K., Demir, O., Ulku, E.E.
- Year: 2020
- Citations: 2
- The role of the maker movement in engineering education: student views on key issues of makerspace environment
- Authors: An, B.D., An, B.D., Ulku, E.E., Bas, A., Erdal, H.
- Year: 2020
- Citations: 6
- Optimization of Multi-token Circulation with Master UAV Method in Multi-UAV Systems for Location Information Sharing
- Authors: Ulku, E.E., Ulku, I.
- Year: 2019
- Sharing location information in multi-UAV systems by common channel multi-token circulation method in FANETs
- Authors: Ulku, E.E., Dogan, B., Demir, O., Bekmezci, I.
- Year: 2019
- Citations: 6
- Applying social networks to engineering education
- Authors: Doğan, B., Demir, Ö., Ülkü, E.E.
- Year: 2018
- Citations: 8