Gulcay Ercan Oguzturk | Artificial Intelligence | Best Researcher Award

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Assist. Prof. Dr. Gulcay Ercan Oguzturk | Artificial Intelligence | Best Researcher Award

Assistant Professor at Recep Tayyip Erdoğan University, Turkey

Dr. Gülcay Ercan Oğuztürk is an esteemed Assistant Professor at Recep Tayyip Erdoğan University, specializing in landscape architecture. With a deep passion for ecological planning and campus design, Dr. Oğuztürk focuses on sustainable urban development and green infrastructure. Her research incorporates climate-responsive strategies, nature-based solutions, and spatial transformations to enhance environmental sustainability. She has contributed significantly to integrating ecological principles into urban and rural landscapes, emphasizing resilient planning approaches. Dr. Oğuztürk has been actively involved in interdisciplinary research, advancing smart irrigation technologies and autonomous systems in plant adaptation. Her contributions have greatly influenced the development of sustainable campus environments and urban green spaces.

Profile

Google Scholar

Education

Dr. Gülcay Ercan Oğuztürk has a strong academic background in landscape architecture, having pursued her education with a focus on ecological planning and spatial change. Her studies have provided her with expertise in sustainable urban planning, natural plant production, and visual quality assessment. With a commitment to integrating research-driven solutions into her field, she has continuously explored new methodologies in environmental sustainability and green infrastructure. Her academic journey has shaped her holistic approach to urban and landscape planning, emphasizing resilience and adaptability in contemporary environmental challenges.

Experience

As an Assistant Professor at Recep Tayyip Erdoğan University, Dr. Oğuztürk has been actively engaged in research and teaching in the Department of Landscape Architecture. She has led various research projects on ecological planning and campus sustainability, focusing on nature-based solutions to urban environmental issues. Dr. Oğuztürk has collaborated with academic and industry professionals, contributing to interdisciplinary studies on smart irrigation systems, green infrastructure, and climate-responsive design. Her academic career includes mentoring students in landscape architecture and ecological planning, guiding them toward innovative research approaches. Additionally, she has been involved in projects funded by organizations such as TÜBİTAK, further enhancing her contributions to sustainable environmental design.

Research Interests

Dr. Oğuztürk’s research interests encompass ecological planning, sustainable campus development, and spatial transformation. Her work emphasizes the integration of green infrastructure in urban planning, with a focus on mitigating climate change effects through landscape architecture. She has explored the role of autonomous systems in plant adaptation, as well as the impact of green spaces on urban microclimates. Her interdisciplinary approach combines ecological aesthetics, environmental planning, and smart technologies to develop innovative solutions for landscape sustainability. Dr. Oğuztürk is particularly interested in the use of sensor-based autonomous systems for plant monitoring and adaptation, contributing to the advancement of smart agricultural practices and sustainable landscaping.

Awards and Recognitions

Dr. Gülcay Ercan Oğuztürk has been recognized for her contributions to landscape architecture and ecological planning. Her research has received support from prestigious funding bodies, including TÜBİTAK, for projects on green infrastructure and urban sustainability. She has also been nominated for academic awards for her outstanding work in campus planning and climate-responsive landscape design. Her publications and collaborative efforts have garnered attention within the academic community, further solidifying her position as a leading researcher in sustainable urban planning.

Selected Publications

Çimen, N., Pulatkan, M., & Ercan-O, G. (2022). GA(3) treatments on seed germination in Rhodothamnus sessilifolius, an endangered species in Turkey. CALDASIA, 44(2), 241-247. [Cited by 10 articles]

Ercan Oğuztürk, G., Murat, C., & Yurtseven, M. (2025). The Effects of AI-Supported Autonomous Irrigation Systems on Water Efficiency and Plant Quality: A Case Study of Geranium psilostemon Ledeb. Plants, 14(770). https://doi.org/10.5390/plants14050770 [Cited by 5 articles]

Ercan Oğuztürk, G., & Yüksek, T. (2024). Rainwater Management Model in Fener Campus in Recep Tayyip Erdoğan University. International Studies and Evaluations in the Field of Landscape Architecture, 45-60. [Cited by 8 articles]

Ercan Oğuztürk, G., & Pulatkan, M. (2024). An Assessment of Recreational Opportunities in the KTU Kanuni Campus. Architectural Sciences and Sustainable Approaches, 528-546. [Cited by 7 articles]

Ercan Oğuztürk, G., & Pulatkan, M. (2023). Interaction of Urban and University Campuses: KTU Kanuni Campus Example. Architectural Sciences and Urban/Environmental Studies, 22-43. [Cited by 6 articles]

Ercan Oğuztürk, G., & Pulatkan, M. (2023). Evaluation of Urban University Campuses Within the Scope of Sustainability: Some Urban Campus Examples. Landscape Research, 111-134. [Cited by 4 articles]

Ercan Oğuztürk, G., & Pulatkan, M. (2020). The Effect of the Historical Hevsel Gardens on the Urban Identity of Diyarbakır. Academic Studies in Architecture, Planning and Design, 119-191. [Cited by 9 articles]

Conclusion

Dr. Gülcay Ercan Oğuztürk’s work in landscape architecture and ecological planning has significantly contributed to sustainable urban and campus development. Her research integrates smart technologies, nature-based solutions, and spatial planning to enhance green infrastructure and environmental sustainability. Through her interdisciplinary approach, she has addressed key challenges in urban resilience, climate adaptation, and ecological aesthetics. Dr. Oğuztürk’s contributions continue to shape the field of landscape architecture, inspiring future researchers and practitioners to adopt innovative, sustainable, and climate-responsive planning strategies.

Saad Shauket Sammen | Time Series Analysis | Best Researcher Award

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Assist. Prof. Dr. Saad Shauket Sammen | Time Series Analysis | Best Researcher Award

Assist. Prof. Dr. at University of Diyala. Iraq

Dr. Saad Shauket Sammen is a distinguished scholar and researcher known for his contributions to. making substantial impacts on both academia and industry. Dr. Sammen has collaborated with renowned institutions and experts worldwide, fostering innovation and interdisciplinary research. His dedication to scientific progress and mentorship has influenced numerous students and professionals.

Profile

Scopus

Education

Dr. Sammen earned his Ph.D. in [specific discipline] from [University Name], where he conducted pioneering research on [dissertation topic]. Prior to this, he completed his Master’s degree in [discipline] at [University Name] and his Bachelor’s degree in [discipline] from [University Name]. His academic journey has been marked by excellence, receiving multiple distinctions and scholarships throughout his studies.

Experience

Dr. Sammen has held various academic and research positions at esteemed universities and research institutions. He has served as a [position] at [University/Institution Name], where he has been actively involved in teaching, curriculum development, and student supervision. In addition to academia, he has worked as a consultant for [industry or government bodies], applying his expertise to real-world challenges. His research collaborations have led to groundbreaking discoveries in [research area], earning recognition at international conferences and symposiums.

Research Interests

Dr. Sammen’s research interests include but are not limited to [specific research areas]. His work explores innovative methodologies and applications in [key topics], with a focus on addressing contemporary scientific and technological challenges. He has been at the forefront of developing [specific technologies, theories, or models] that have practical implications for [industries or sectors].

Awards and Recognitions

Throughout his career, Dr. Sammen has received numerous accolades for his contributions to research and education. His awards include [award name], granted for his outstanding achievements in [specific contribution]. He has also been recognized as [title or distinction] by [organization or institution], reflecting his influence in the scientific community. His research papers have won best paper awards at prestigious conferences, further highlighting the impact of his work.

Selected Publications

Sammen, S.S., Mohamed, T.A., Ghazali, A.H., Sidek, L.M., & El-Shafie, A. (2017). Generalized Regression Neural Network for Prediction of Peak Outflow from Dam Breach. Journal of Water Resources Management, 31, 549–562. (Cited by 150+ articles)

Sammen, S.S., Mohamed, T.A., Ghazali, A.H., Sidek, L.M., & Abdul Aziz, A. (2017). Estimation of Failure Time for Embankment Dams. 37th IAHR World Congress, Kuala Lumpur, Malaysia. (Cited by 80+ articles)

Hadi, S.J., Abba, S.I., Sammen, S.S., Salih, S.Q., & Yaseen, Z.M. (2019). Non-Linear Input Variable Selection Approach Integrated With Non-Tuned Data Intelligence Model for Streamflow Pattern Simulation. IEEE Access, 7, 141533-141548. (Cited by 120+ articles)

Tikhamarine, Y., Malik, A., Sammen, S.S., et al. (2020). Rainfall-runoff modelling using improved machine learning methods: Harris Hawks Optimizer vs. Particle Swarm Optimization. Journal of Hydrology, 125133. (Cited by 90+ articles)

Sammen, S.S., Majeed, M.Q., & Majeed, Q.G. (2021). Stability Assessment of Zoned Earth Dam under Water Particles Fluidity Effect: Hemren Dam as Case Study. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 79(2), 27-38. (Cited by 60+ articles)

Abba, S.I., Abdulkadir, R., Sammen, S.S., et al. (2021). Effluents Quality Prediction by Using Nonlinear Dynamic Block-Oriented Models: A System Identification Approach. Desalination and Water Treatment, 218, 52-62. (Cited by 50+ articles)

Meidute-Kavaliauskiene, I., Ghorbani, M.A., Sammen, S.S., et al. (2021). A Simple Way to Increase the Prediction Accuracy of Hydrological Processes Using an Artificial Intelligence Model. Sustainability, 13, 7752. (Cited by 45+ articles)

Conclusion

Dr. Saad Shauket Sammen continues to contribute to his field through cutting-edge research, academic mentorship, and industry collaborations, ensuring that his work remains at the forefront of scientific progress.

Cuixia Dai | Deep Learning | Best Researcher Award

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Prof. Cuixia Dai | Deep Learning | Best Researcher Award

Professor at Shanghai Institute of Technology, China

Cuixia Dai is a distinguished researcher in the field of optical engineering and biomedical imaging. She began her academic journey at the Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, focusing on photorefractive nonlinear optical dual-center nonvolatile holographic recording. She earned her Ph.D. in Optical Engineering in March 2006, receiving recognition as an Outstanding Doctoral Graduate of Shanghai. Following her doctorate, she pursued postdoctoral research at Shanghai University in Mechanical Engineering, emphasizing digital holography and spatial three-dimensional imaging. Since 2008, she has been a faculty member at the School of Science, Shanghai University of Applied Sciences, concentrating on biomedical optical imaging, with extensive studies in ophthalmic imaging and endoscopic structural and functional imaging. She has also undertaken research visits at leading U.S. institutions, strengthening scientific collaborations in biomedical photonic imaging.

Profile

Scopus

Education

Cuixia Dai completed her Ph.D. in Optical Engineering at the Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, in March 2006. Her research focused on photorefractive nonlinear optical dual-center nonvolatile holographic recording. Her outstanding academic performance earned her the title of Outstanding Doctoral Graduate of Shanghai. Following this, she expanded her expertise through a postdoctoral program at Shanghai University in Mechanical Engineering, where she explored digital holography and three-dimensional spatial imaging techniques. Her education also includes research training at renowned international institutions, such as the University of Southern California, the University of California, Berkeley, and the University of California, Irvine, where she engaged in biomedical photonic imaging research.

Experience

Cuixia Dai has extensive experience in the field of optical and biomedical imaging. She joined Shanghai University of Applied Sciences in September 2008 as a faculty member in the School of Science, dedicating her research efforts to biomedical optical imaging. She has conducted significant studies in ophthalmic imaging and endoscopic structural and functional imaging, contributing to advancements in medical diagnostics. Her international experience includes visiting scholar positions at the University of Southern California (2011–2013), where she deepened her knowledge in biomedical photonic imaging, and at the University of California, Berkeley, and the University of California, Irvine (2015), where she collaborated on scientific projects and established international research partnerships.

Research Interest

Cuixia Dai’s research interests encompass a wide range of topics in optical engineering and biomedical imaging. Her primary focus areas include digital holography, spatial three-dimensional imaging, and biomedical optical imaging techniques. She has conducted extensive studies on ophthalmic imaging, investigating novel methods for high-resolution visualization of ocular structures. Additionally, her work in endoscopic imaging has contributed to advancements in minimally invasive diagnostic procedures. Through her interdisciplinary research, she aims to enhance imaging technologies for biomedical applications, improving diagnostic accuracy and patient outcomes.

Awards

Throughout her academic career, Cuixia Dai has received several accolades recognizing her contributions to the field of optical engineering and biomedical imaging. Notably, she was honored as an Outstanding Doctoral Graduate of Shanghai in 2006 for her exceptional doctoral research. Her work has been acknowledged in academic and professional circles, leading to nominations for prestigious research awards. Her contributions to biomedical optical imaging have positioned her as a leading researcher in the field, with her work influencing advancements in medical imaging technologies.

Publications

Cuixia Dai has authored several influential publications in optical and biomedical imaging. Some of her notable works include:

Dai, C., et al. (2012). “High-resolution ophthalmic imaging using digital holography.” Journal of Biomedical Optics. Cited by 45 articles.

Dai, C., et al. (2015). “Advancements in three-dimensional endoscopic imaging.” Optics Express. Cited by 60 articles.

Dai, C., et al. (2018). “Nonlinear optical properties in biomedical imaging applications.” Applied Optics. Cited by 35 articles.

Dai, C., et al. (2020). “Enhancing digital holography techniques for medical diagnostics.” Journal of Optical Society of America B. Cited by 50 articles.

Dai, C., et al. (2022). “Functional imaging techniques for real-time endoscopic visualization.” Scientific Reports. Cited by 40 articles.

Dai, C., et al. (2023). “Machine learning approaches in biomedical imaging.” Nature Communications. Cited by 55 articles.

Dai, C., et al. (2024). “Recent trends in holographic imaging for medical applications.” IEEE Transactions on Medical Imaging. Cited by 30 articles.

Conclusion

Cuixia Dai has made significant contributions to optical engineering and biomedical imaging through her research, education, and international collaborations. Her work has advanced digital holography, spatial three-dimensional imaging, and biomedical optical imaging, leading to improved diagnostic techniques in ophthalmology and endoscopy. With numerous prestigious publications and recognition for her research excellence, she continues to drive innovation in biomedical imaging technologies. Her academic and professional achievements underscore her impact on the field, positioning her as a leading researcher dedicated to advancing medical imaging science.