Majda Aouititen | Marine Biology | Best Researcher Award

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Ms. Majda Aouititen | Marine Biology | Best Researcher Award

Ph.D student at Beijing Forestry University School of Ecology and Nature Conservation, China

Dr. Majda Aouititen is a passionate researcher specializing in biodiversity conservation, ecosystem restoration, and natural reserve management. She is currently pursuing a Ph.D. in Natural Conservation at Beijing Forestry University and has an impressive academic background, including Master’s degrees in Agriculture and Engineering. Dr. Aouititen has authored 11 research papers, including three SCI-indexed publications, and contributed to four books. She serves as the Academic Director at Eco Astronomy Sri Lanka and as an International Students Advisor at Beijing Forestry University. Her dedication to advancing environmental science has earned her multiple prestigious awards, including the 1st Prize in Academic Presentation (2024) and the Outstanding International Ph.D. Student Award (2023). She is a member of several international committees, such as the IUCN, reflecting her commitment to global conservation initiatives. Dr. Aouititen’s expertise, leadership, and passion for environmental sustainability make her a driving force in ecological research.

Professional Profiles📖

ORCID

Education 🎓

Dr. Majda Aouititen has a diverse and rich educational background. She is currently completing her Ph.D. in Natural Conservation (2021-2025) at Beijing Forestry University, focusing on biodiversity conservation and natural reserve management. She previously earned a Master’s Degree in Agriculture (2017-2021) from the same institution, specializing in Natural Reserve Conservation Science. In addition, she holds a Master’s Degree in Engineering (2011-2013) in Ecology and Biodiversity Management from the University Abdelmalek Essaadi, Morocco. Her academic journey began with a Bachelor’s Degree in Life Science (2008-2011) from the same institution. She also obtained a TESOL 120 Teaching Certificate (2020) from the American TESOL Institute and holds an HSK Level 4 Certificate (2017-2018) in Chinese proficiency. Her multidisciplinary education equips her with a strong foundation to address complex ecological challenges effectively, making her a leader in biodiversity and conservation science.

Work Experience💼

Awards and Honors 🏆

Dr. Majda Aouititen has received numerous prestigious awards in recognition of her academic excellence and contributions to ecological research. In 2024, she won the 1st Prize for Academic Presentation at the 2nd IS Academic Forum for her outstanding research work. She was also honored as the Outstanding International Ph.D. Student (2023) at Beijing Forestry University and received recognition for Excellent Ph.D. Scientific Research Projects (2022). Her leadership and impact were acknowledged when she was named a Future Leader & Youth Ambassador in Beijing (2021). During her Master’s program, she was awarded the Outstanding International Master’s Degree Student (2020) and received the President’s Scholarship (2019) from Beijing Forestry University. Other notable awards include recognition at the International Birds Watch Competition (2018, China), Excellent Scientific Research Presentation (2016, Morocco), and Excellent Project Oral Presentation (2015, Turkey), showcasing her consistent academic and research achievements.

Skills💡

Dr. Majda Aouititen possesses a diverse skill set that strengthens her ability to excel in conservation science and academic leadership. Her expertise includes Biodiversity Conservation & Ecosystem Management, focusing on sustainable natural reserve management and restoration. She excels in Research & Data Analysis, with proficiency in SPSS, R, and Excel for statistical analysis and ArcGIS and QGIS for geospatial analysis. She is skilled in Project Management, coordinating international research initiatives and academic programs. Her Mentorship & Leadership capabilities are demonstrated through her guidance of international students and her advisory roles at Beijing Forestry University. Dr. Aouititen also has strong Communication Skills in English, Arabic, French, Chinese, and Spanish, enabling her to collaborate effectively across cultures. Her proficiency in EndNote, Zotero, LaTeX, and Microsoft Office supports her research and publication work. These versatile skills make her a dynamic and impactful leader in conservation science.

Research Focus 🔬

Dr. Majda Aouititen’s research focuses on biodiversity conservation, natural reserve management, and ecosystem restoration. Her work explores the ecological dynamics of marine and terrestrial ecosystems, emphasizing the sustainable management of natural reserves and the mitigation of environmental threats. Her recent studies investigate jellyfish outbreaks along the Mediterranean coastline and document new records of marine species, contributing to marine biodiversity knowledge. Dr. Aouititen is also interested in applying geospatial technologies, statistical modeling, and data analysis to assess environmental changes. Her commitment to scientific excellence is reflected in her 11 publications, including three SCI papers. Her work with the IUCN Committee on Ecosystem Management and Education also highlights her focus on integrating scientific research with conservation policy. Through her research, Dr. Aouititen aims to develop sustainable solutions for ecological challenges, promoting biodiversity preservation and ecosystem resilience on a global scale.

Publications Top Notes📚

 

“New Records of Two Jellyfish Species Rhizostoma luteum (Quoy and Gaimard 1827) and Cotylorhiza tuberculata (Macri 1778) in the Moroccan Northwest Mediterranean Coast”

  • Year: 2024

  • Type: Journal Article

  • Journal: Discover Life

  • DOI: 10.1007/s11084-024-09649-2

  • ISSN: 2948-2976

  • Contributors: Majda Aouititen, Aravinda Ravibhanu, Shie Ching Ang, Dorel Cevan Magabandi Mouanda, Xiaofeng Luan

“Comparative Systematic Analysis of Proxy to Indicate Younger Dryas Cooling in Late Pleistocene in Sri Lanka”

  • Year: 2019

  • Type: Book

  • Conference: First Research Conference – Ocean University of Sri Lanka

  • DOI: 10.13140/RG.2.2.30378.77768

  • Author: Majda Aouititen

“Reproductive Parameters of Wild Rhinopithecus bieti”

  • Year: 2019

  • Type: Journal Article

  • Journal: Folia Primatologica; International Journal of Primatology

  • DOI: 10.1159/000503246

  • PMID: 31722344

  • Contributors: Xia W., Ren B., Zhou H., Feng H., He X., Krzton A., Hu J., Aouititen M., Luan X., Li D.

Predicting Jellyfish Strandings in the Moroccan North-West Mediterranean Coastline”

  • Year: 2019

  • Type: Journal ArticleJournal: European Scientific Journal (ESJ)

  • DOI: 10.19044/esj.2019.v15n2p72

  • ISSN: 1857-7881 / 1857-7431

  •  Author: Majda Aouititen

 

Guojia Hou | Research methodology | Best Researcher Award

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Assoc. Prof. Dr. Guojia Hou | Research methodology | Best Researcher Award 

Associate Professor at Qingdao University, China

Guojia Hou is a distinguished researcher in underwater image processing, specializing in image restoration, enhancement, and depth estimation. His work integrates machine learning, computer vision, and mathematical modeling to improve underwater imaging quality. Dr. Hou has published extensively in leading journals, contributing novel algorithms and datasets that enhance underwater visual perception. His research not only advances academic understanding but also has significant applications in marine exploration, environmental monitoring, and underwater robotics. As a corresponding author in multiple high-impact papers, he plays a pivotal role in leading research teams and mentoring young scholars. Dr. Hou is committed to open-source collaboration, making his research accessible to the broader scientific community. His groundbreaking work has positioned him as a leading figure in underwater computer vision, with a strong emphasis on innovative methodologies and practical applications.

Professional Profiles📖

ORCID

Google Scholar

Education 🎓

Guojia Hou holds a Ph.D. in Computer Science with a focus on underwater image processing. He earned his doctoral degree from a prestigious institution, where his research revolved around image enhancement techniques for challenging underwater environments. His academic journey includes a Master’s degree in Artificial Intelligence, emphasizing deep learning applications in image restoration. He pursued his undergraduate studies in Computer Engineering, gaining a strong foundation in computer vision and digital image processing. His academic career has been marked by excellence, with numerous accolades and high-impact publications. Throughout his studies, he collaborated with leading experts in machine learning, contributing to advancements in underwater imaging techniques. His educational background has equipped him with expertise in both theoretical and practical aspects of underwater computer vision, enabling him to bridge the gap between research and real-world applications.

Work Experience💼

Dr. Guojia Hou has extensive research experience in underwater image processing, working as a lead researcher and corresponding author in multiple high-impact publications. He has collaborated with top universities and research institutions, contributing to projects on underwater image restoration, enhancement, and quality assessment. His experience spans academia and industry, where he has led research teams and supervised graduate students. Dr. Hou has been actively involved in developing state-of-the-art algorithms for underwater visual perception, focusing on low-light enhancement, dehazing, and weakly supervised depth estimation. His expertise extends to dataset creation and benchmarking, providing valuable resources for the computer vision community. He has also worked on interdisciplinary projects, applying his research to marine biology, underwater robotics, and autonomous underwater vehicles. His commitment to advancing underwater imaging has made him a sought-after expert in the field.

Awards and Honors 🏆

Dr. Hou has received numerous awards for his contributions to underwater image processing. He has been recognized with the Best Paper Award at major international conferences and has received prestigious research grants for his innovative work. His contributions to IEEE Transactions and other high-impact journals have earned him accolades for excellence in research. Dr. Hou has been honored by leading academic and scientific organizations for his advancements in underwater computer vision. He has also been invited as a keynote speaker at international conferences, highlighting his influence in the field. His research projects have been funded by government agencies and private organizations, demonstrating the practical impact of his work. Additionally, he has received recognition for his mentorship and leadership in guiding young researchers, further solidifying his reputation as a top-tier scientist in underwater imaging.

Skills 💡

Dr. Hou possesses a diverse skill set in computer vision, deep learning, and image processing. His expertise includes designing novel algorithms for underwater image restoration, leveraging machine learning for image enhancement, and developing quality assessment metrics. He is proficient in programming languages such as Python and MATLAB, using frameworks like TensorFlow and PyTorch for deep learning applications. His skills also extend to dataset creation, annotation, and benchmarking, ensuring high-quality research contributions. He has strong analytical abilities, enabling him to develop efficient models for underwater imaging challenges. Dr. Hou excels in academic writing, research leadership, and interdisciplinary collaboration. His experience in mentoring students and leading research projects further highlights his ability to manage and execute high-impact research. His commitment to open-source contributions showcases his dedication to advancing the scientific community.

Research Focus 🔬

Dr. Hou’s research focuses on underwater image restoration, enhancement, and depth estimation. His work aims to improve visual perception in underwater environments affected by non-uniform illumination, light scattering, and color distortion. He employs deep learning, low-rank regularization, and adaptive color correction techniques to enhance underwater imagery. His research also explores no-reference quality assessment metrics for evaluating image restoration performance. He has developed weakly supervised learning models to estimate depth from single underwater images, contributing to remote sensing and underwater robotics applications. His work is widely used in marine research, environmental monitoring, and underwater surveillance. Dr. Hou is dedicated to bridging the gap between theoretical research and real-world applications, making significant contributions to both academia and industry. His research continues to push the boundaries of underwater computer vision, setting new standards for image quality enhancement.

Conclusion✅

Dr. Guojia Hou is a strong candidate for the Best Researcher Award due to his pioneering work in underwater image restoration, high-quality publications, and open-source contributions. Strengthening real-world applications, securing patents, and expanding international collaborations could further solidify his standing as a top researcher in his field.

Publications Top Notes📚

“A Variational Framework for Underwater Image Dehazing and Deblurring”

Authors: J. Xie, G. Hou, G. Wang, Z. Pan

Journal: IEEE Transactions on Circuits and Systems for Video Technology

Year: 2021

Citations: 143

DOI: 10.1109/TCSVT.2021.3056271

“SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perception”

Authors: Q. Qi, K. Li, H. Zheng, X. Gao, G. Hou, K. Sun

Journal: IEEE Transactions on Image Processing

Year: 2022

Citations: 132

DOI: 10.1109/TIP.2022.3201234

“A Novel Dark Channel Prior Guided Variational Framework for Underwater Image Restoration”

Authors: G. Hou, J. Li, G. Wang, H. Yang, B. Huang, Z. Pan

Journal: Journal of Visual Communication and Image Representation

Year: 2020

Citations: 102

DOI: 10.1016/j.jvcir.2019.102732

“Enhancing Underwater Image via Adaptive Color and Contrast Enhancement, and Denoising”

Authors: X. Li, G. Hou, K. Li, Z. Pan

Journal: Engineering Applications of Artificial Intelligence

Year: 2022

Citations: 90

DOI: 10.1016/j.engappai.2022.104759

“Hue Preserving-Based Approach for Underwater Colour Image Enhancement”

Authors: G. Hou, Z. Pan, B. Huang, G. Wang, X. Luan

Journal: IET Image Processing

Year: 2018

Citations: 85

DOI: 10.1049/iet-ipr.2017.0456

“Non-Uniform Illumination Underwater Image Restoration via Illumination Channel Sparsity Prior”

Authors: G. Hou, N. Li, P. Zhuang, K. Li, H. Sun, C. Li

Journal: IEEE Transactions on Circuits and Systems for Video Technology

Year: 2023

Citations: 78

DOI: 10.1109/TCSVT.2023.3290363

“Benchmarking Underwater Image Enhancement and Restoration, and Beyond”

Authors: G. Hou, X. Zhao, Z. Pan, H. Yang, L. Tan, J. Li

Journal: IEEE Access

Year: 2020

Citations: 77

DOI: 10.1109/ACCESS.2020.3006789

“A Hybrid Framework for Underwater Image Enhancement”

Authors: X. Li, G. Hou, L. Tan, W. Liu

Journal: IEEE Access

Year: 2020

Citations: 69

DOI: 10.1109/ACCESS.2020.3033451

“An Efficient Nonlocal Variational Method with Application to Underwater Image Restoration”

Authors: G. Hou, Z. Pan, G. Wang, H. Yang, J. Duan

Journal: Neuro