Mehmet Yilmaz | Artificial Neural Networks | Best Researcher Award

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Mr. Mehmet Yilmaz | Artificial Neural Networks | Best Researcher Award

Mr, Mehmet Yilmaz, Kayseri University, Turkey

Mehmet Yilmaz is a lecturer in the Department of Architecture and Urban Planning at Kayseri University, Turkey. With an academic background in Geomatic Engineering from Erciyes University, he brings expertise in geotechnical engineering, real estate valuation, and geographic information systems (GIS) to his role. Currently pursuing his doctorate, Mr. Yilmaz’s teaching and research contributions focus on engineering applications in urban environments, including courses on land measurement, urban information systems, and property law. His work is dedicated to exploring innovative solutions in GIS and urban planning, addressing practical challenges in real estate valuation and geotechnical engineering.

PROFILE

Orcid Profile

Educational Details

Mr. Mehmet Yilmaz is a faculty member at Kayseri University, Turkey, where he specializes in engineering and urban planning. He is currently pursuing his Doctorate in Geomatic Engineering at Erciyes University’s Institute of Science (Fen Bilimleri Enstitüsü), continuing his journey in the same field in which he obtained both his postgraduate degree (2019-2021) and undergraduate degree (2007-2012). This solid academic foundation has equipped him with specialized skills in geographic information systems, geotechnical engineering, and real estate valuation.

Professional Experience

Since 2018, Mr. Yilmaz has served as a lecturer at Kayseri University in the Tomarza Mustafa Akıncıoğlu Vocational School of Architecture and Urban Planning. He previously taught at Erciyes University in the same department (2017-2018). Throughout his career, he has taught a wide array of courses, including Land Measurement, Expropriation Techniques, Real Estate Law, Urban Information Systems, and Real Estate Valuation Techniques, as well as foundational courses such as Mathematics and Basic Law. His commitment to teaching and hands-on field knowledge has contributed to his expertise in applied engineering and planning education.

Research Interests

Mr. Yilmaz’s research interests span several critical areas within engineering and urban planning, including geotechnical engineering, real estate valuation, geographic information systems (GIS), and image processing. His research has previously focused on topics such as property tax loss in mass valuation, as exemplified by his postgraduate thesis, which investigated the impacts of mass valuation on tax losses in the Kayseri region. This study highlights his interest in the integration of GIS and valuation techniques to address real-world urban planning challenges.

Top Notable Publications

Mehmet Yilmaz (2024)
Title: Hiperspektral görüntülerde Relief-F algoritması ile band seçimi
Source: Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi
Publication Date: 2024-04-02
DOI: 10.28948/ngumuh.1408200

Mehmet Yilmaz (2023)
Title: Investigation of Real Estate Tax Leakage Loss Rates with ANNs
Source: Buildings
Publication Date: 2023-09-28
DOI: 10.3390/buildings13102464
ISSN: 2075-5309

Mehmet Yilmaz (2021)
Title: Determination of Housing Prices with Mass Appraisal in Turkey
Source: Ankara V. International Scientific Research Congress
Publication Date: 2021-10-18
(Conference abstract, no DOI provided)

Conclusion

Mr. Mehmet Yilmaz’s academic background, teaching experience, research interests, certifications, and publication record collectively establish him as a dedicated researcher in the fields of geomatics, urban planning, and real estate valuation. His interdisciplinary approach, integrating advanced technologies like GIS, hyperspectral imaging, and neural networks, is noteworthy for solving real-world challenges in property valuation and urban information systems. Given these qualifications, Mr. Yilmaz is a strong candidate for the Research for Best Researcher Award, with demonstrated potential for further contributions to his field.

 

 

 

 

 

 

 

Eman Aldakheel | Artificial Intelligence | Best Researcher Award

Published on by Physicist Particle

Assist Prof Dr. Eman Aldakheel | Artificial Intelligence | Best Researcher Award

Scopus Profile

Orcid Profile

Educational Details:

Dr. Eman Aldakheel holds a Doctor of Philosophy in Computer Science from the University of Illinois at Chicago, where her dissertation, titled “Deadlock Detector and Solver (DDS),” focused on developing solutions for deadlock issues in computer systems. She earned her Master of Science in Computer Science from Bowling Green State University in Ohio, with a thesis titled “A Cloud Computing Framework for Computer Science Education,” highlighting her interest in leveraging technology for educational advancement. Dr. Aldakheel completed her Bachelor of Science in Computer Science with Honors from Imam Abdulrahman bin Faisal University in Dammam, Saudi Arabia, laying the foundation for her career in academia and research.

Academic Experience:

Dr. Eman Aldakheel has an extensive teaching and training background, starting as an instructor at the New Horizons Institute in Khobar, Saudi Arabia, in 2007, where she trained students on ICDL and IC3 certifications and taught various computer-related courses. She later joined Imam Abdulrahman bin Faisal University (formerly Dammam University) as an instructor, teaching basic computer skills and Microsoft Office applications to students in the Geography department. She also taught computer basics to girls at Riyadh Al-Islam Schools, working with students from elementary to high school levels. From 2012 to 2020, Dr. Aldakheel served as a lecturer at Princess Nourah Bint Abdulrahman University, where she contributed as a research assistant on software engineering projects and taught object-oriented programming. Since Fall 2020, she has been an Assistant Professor at the same institution, teaching various computer science courses ranging from programming to natural language processing. Dr. Aldakheel effectively adapted to remote teaching tools like Blackboard, Teams, and Zoom during the COVID-19 pandemic, ensuring uninterrupted learning for her students.

Honors and Awards:

Dr. Eman Aldakheel has actively participated in prestigious academic workshops and conferences, including the CRA-Women Grad Cohort Workshop, which supports the professional development of women in computing. Her academic achievements have earned her multiple travel awards, including ACM’s SRC (Student Research Competition) Travel Award and the HPDC (High Performance Distributed Computing) Travel Award, both of which provided her with opportunities to present her research and engage with global experts in the field. These accolades reflect her commitment to advancing her knowledge and contributing to the broader academic community.

Service Activities:

Dr. Eman Aldakheel has played a pivotal role in fostering the growth and development of talented students at Princess Nourah Bint Abdulrahman University. She has been actively involved in planning programs and activities aimed at nurturing high-achieving students, ensuring they receive the support and opportunities needed to excel. Dr. Aldakheel designed and built the foundation for the “Foundations of Programming” (GN 044) course, recording its lectures to enhance learning accessibility. Additionally, she supervises the College of Computer and Information student magazine, encouraging student participation in scholarly activities. Her involvement extends to various committees, where she serves as a judge or supervisor for hackathons, contributing her expertise to inspire innovation and creativity among students.

Granted Projects:

Dr. Eman Aldakheel is actively involved in several significant research projects. In 2023, she contributed to the “Researchers Supporting Project” at Princess Nourah Bint Abdulrahman University, under project number PNURSP2023R409. She is also leading two research initiatives funded by the Deputyship for Research & Innovation, Ministry of Education in Saudi Arabia. The first, under project number RI-44-0618, focuses on the “Detection and Identification of Plant Leaf Diseases using YOLOv4,” running from November 2022 to May 2024. The second project, WE-44-0279, explores the “Use of Modern Machine Learning Techniques to Combat Extremism and the Role of Women,” also from November 2022 to May 2024. These projects highlight Dr. Aldakheel’s expertise in machine learning and its application to various fields, from agriculture to social issues.

Top Notable Publications

“Performance of Rime-Ice Algorithm for Estimating the PEM Fuel Cell Parameters”

Authors: Ismaeel, A.A.K., Houssein, E.H., Khafaga, D.S., Aldakheel, E.A., Said, M.

Year: 2024

Journal: Energy Reports

Citations: 3

“Outlier Detection for Keystroke Biometric User Authentication”

Authors: Ismail, M.G., Salem, M.A.-M., El Ghany, M.A.A., Aldakheel, E.A., Abbas, S.

Year: 2024

Journal: PeerJ Computer Science

Citations: 0

“Mobile-UI-Repair: A Deep Learning-Based UI Smell Detection Technique for Mobile User Interface”

Authors: Ali, A., Xia, Y., Navid, Q., Aldakheel, E.A., Khafaga, D.

Year: 2024

Journal: PeerJ Computer Science

Citations: 2

“Enhancing Security and Privacy in Distributed Face Recognition Systems through Blockchain and GAN Technologies”

Authors: Ghani, M.A.N.U., She, K., Rauf, M.A., Aldakheel, E.A., Khafaga, D.S.

Year: 2024

Journal: Computers, Materials and Continua

Citations: 0

“Detection and Identification of Plant Leaf Diseases using YOLOv4”

Authors: Aldakheel, E.A., Zakariah, M., Alabdalall, A.H.

Year: 2024

Journal: Frontiers in Plant Science

Citations: 1

“Performance of the Walrus Optimizer for Solving an Economic Load Dispatch Problem”

Authors: Said, M., Houssein, E.H., Aldakheel, E.A., Khafaga, D.S., Ismaeel, A.A.K.

Year: 2024

Journal: AIMS Mathematics

Citations: 2

“Efficient Analysis of Large-Size Bio-Signals Based on Orthogonal Generalized Laguerre Moments of Fractional Orders and Schwarz–Rutishauser Algorithm”

Authors: Aldakheel, E.A., Khafaga, D.S., Fathi, I.S., Hosny, K.M., Hassan, G.

Year: 2023

Journal: Fractal and Fractional

Citations: 1

“Performance of Osprey Optimization Algorithm for Solving Economic Load Dispatch Problem”

Authors: Ismaeel, A.A.K., Houssein, E.H., Khafaga, D.S., AbdElrazek, A.S., Said, M.

Year: 2023

Journal: Mathematics

Citations: 17

“CyberHero: An Adaptive Serious Game to Promote Cybersecurity Awareness”

Authors: Hodhod, R., Hardage, H., Abbas, S., Aldakheel, E.A.

Year: 2023

Journal: Electronics (Switzerland)

Citations: 3

Carrasquilla, M.D.L., Sun, M., Long, T., Huang, L., & Zheng, Y. (2024). Seismic anisotropy of granitic rocks from a fracture stimulation well at Utah FORGE using ultrasonic measurements. Geothermics, 123, 103129.

Carrasquilla, M.D.L., Parsons, J., Long, T., Zheng, Y., & Han, D.-H. (2023). Ultrasonic measurements of elastic anisotropy of granitic rocks for enhanced geothermal reservoirs. SEG Technical Program Expanded Abstracts, 2023-August, 79–83.

Carrasquilla, M.D.L., Costa, M.D.F.B., Souza, I.J.S., Amanajás, C.E., & Nunes, L.R.A. (2022). Geological, geophysical and mathematical analysis of synthetic bulk density logs around the world – Part II – The use of non-linear regression on empirical parameters estimation. Journal of Applied Geophysics, 206, 104838.

Carrasquilla, M.D.L., Carvalho, C.P., Costa, M.D.F.B., Amanajás, C.E., & Rautino, L. (2022). Geological, geophysical and mathematical analysis of synthetic bulk density logs around the world – Part I – The use of linear regression on empirical parameters estimation. Journal of Applied Geophysics, 204, 104733.