Ruoyu Yang | Machine Vision | Young Researcher Award

Published on by Cognitive Scientist Awards

Ms. Ruoyu Yang | Machine Vision | Young Researcher Awardd

University of Electronic Science and Technology of China | China

Yang Ruoyu is an emerging researcher specializing in computer vision, image enhancement, and deep learning algorithms, particularly for nighttime road scenarios. Currently pursuing a master’s degree in Big Data Technology and Engineering at the University of Electronic Science and Technology of China, Yang holds a bachelor’s degree in Information and Computing Science from Harbin University of Science and Technology. His research is driven by a passion for improving image quality in challenging conditions, leading to impactful publications in journals like Displays and Applied Sciences. He has contributed to algorithmic advancements for electronic rearview mirrors, addressing low-light, glare, and illumination issues through novel deep learning architectures such as DELIA-Net and NRGS-Net. Yang’s work spans academic papers, conference presentations, patents, and practical engineering projects. Recognized with multiple academic awards, including the National Encouragement Scholarship, he is steadily building a profile as a promising innovator in intelligent transportation imaging technologies

Profile

ORCID

Education

Yang Ruoyu’s academic journey began at Harbin University of Science and Technology, where he pursued a bachelor’s degree in Information and Computing Science. This period provided him with a strong grounding in mathematics, data analysis, and computational algorithms. His early academic success was marked by multiple academic prizes and a national scholarship, highlighting his commitment to excellence. Building on this foundation, Yang advanced to the University of Electronic Science and Technology of China to undertake a master’s degree in Big Data Technology and Engineering. Here, he has deepened his expertise in data-driven problem-solving, computer vision, and artificial intelligence applications. His master’s research focuses on enhancing image processing algorithms to tackle low-light and glare issues in automotive imaging systems. Combining theoretical understanding with hands-on project experience, Yang has cultivated a skill set that bridges mathematical rigor with cutting-edge AI methodologies, positioning him for significant contributions in the field of intelligent transportation technologies.

Experience

Yang Ruoyu has gained valuable research and project experience in image processing, with a primary emphasis on nighttime driving scenarios. His most notable project involves developing a high-dynamic-range imaging algorithm for electronic rearview mirror systems, designed to perform reliably under strong lighting contrasts, low-light environments, and glare interference. Leveraging deep learning architectures such as GANs and Uformer, Yang created innovative frameworks for nighttime road image enhancement and glare suppression. Beyond theoretical design, he has tested and refined these models for real-world automotive applications. As first author, Yang has published in peer-reviewed journals like Displays and Applied Sciences, and has contributed to international conferences with impactful presentations. His work demonstrates a rare blend of academic precision and practical applicability, making him a valuable contributor to AI-powered vision systems. In addition, his patented inventions highlight his ability to move from concept to implementation, driving innovation in both academic and industrial contexts

Awards and Honors

Yang Ruoyu’s academic excellence has been recognized through a series of prestigious awards and honors. He was the recipient of the National Encouragement Scholarship, a testament to his outstanding academic performance and research potential. His consistent achievement earned him multiple Academic Third Prizes from Harbin University of Science and Technology, reflecting his high standing among peers. Beyond academic accolades, Yang’s skill in language proficiency is marked by his commendable CET-4 and CET-6 scores, which strengthen his capacity for international collaboration and research communication. His inventive spirit has been officially recognized through granted Chinese invention patents in nighttime image enhancement and glare suppression technologies. These honors collectively underscore his dedication, intellectual capability, and innovative mindset. Each award not only validates his past accomplishments but also positions him as a promising researcher with the drive and expertise to tackle complex challenges in AI-based image processing and intelligent automotive systems

Research Focus

Yang Ruoyu’s research centers on developing advanced imaging algorithms for nighttime driving assistance systems, with a focus on electronic rearview mirrors. His work tackles the twin challenges of low-light visibility and glare interference, which are critical safety concerns in real-world driving conditions. Drawing on deep learning models such as generative adversarial networks (GANs) and lightweight Uformer architectures, Yang has proposed novel solutions like DELIA-Net for detail enhancement and local illumination adjustment, as well as NRGS-Net for glare suppression. These methods improve image clarity, contrast, and reliability under extreme lighting variations. His research bridges theoretical advancements in AI with direct automotive applications, aiming to enhance driver safety and situational awareness. By integrating machine learning, computer vision, and practical engineering, Yang’s work represents a significant contribution to the future of intelligent transportation, ensuring that image-based systems perform optimally in challenging environmental conditions both in research and industrial deployment

 

Publications

 

Title: NRGS-Net: A Lightweight Uformer with Gated Positional and Local Context Attention for Nighttime Road Glare Suppression

Year:2025

Conclusion

Yang Ruoyu is a dedicated and innovative researcher whose expertise in AI-driven image processing, particularly for nighttime road enhancement and glare suppression, combines strong academic foundations, practical project execution, patented technologies, and internationally recognized publications to deliver impactful solutions for intelligent automotive systems.

Abdeldjalil Ouahabi | Face recognition | Best Paper Award

Published on by Cognitive Scientist Awards

Prof. Abdeldjalil Ouahabi | Face recognition | Best Paper Award

Dr. Abdeldjalil Ouahabi is a distinguished Full Professor and leading researcher at the iBrain INSERM laboratory, University of Tours, France. His pioneering work spans signal and image processing, biomedical engineering, and artificial intelligence. With over 170 peer-reviewed publications, his research has significantly advanced multiple scientific domains. Dr. Ouahabi holds key editorial roles in top-tier journals, including associate editorships at the Journal of King Saud University – Computer and Information Sciences and the International Journal of Imaging Systems and Technology. He is internationally recognized for his academic contributions, collaborative AI research with Fields Medalist Prof. Cédric Villani, and numerous visiting positions, notably at Bucknell University and Qatar University. In addition to scholarly engagement, he frequently appears on media platforms and organizes high-impact workshops and conferences. A respected scientific leader in Algeria and France, he is also an active member of governmental and civic committees focused on research policy and regional development.

Profile

🎓 Education

Although specific degree information is not detailed in the provided content, it is evident that Dr. Abdeldjalil Ouahabi has received extensive academic and research training, leading to his current role as a Full Professor and researcher at the iBrain INSERM laboratory, University of Tours. His educational background must include advanced degrees (PhD or equivalent) in electrical engineering, biomedical engineering, or related fields, enabling him to contribute profoundly to signal processing and AI. His international exposure—highlighted by academic appointments in the United States (Bucknell University) and the Middle East (Qatar University)—reflects a strong foundation in interdisciplinary learning and cross-cultural academic collaboration. His continuous involvement in editorial boards and scientific committees further implies rigorous scholarly preparation and a sustained commitment to academic excellence and innovation throughout his educational and professional journey.

🧪 Experience

Dr. Ouahabi’s professional experience spans academia, research, science communication, and governmental advisory roles. As a Full Professor at the University of Tours, he conducts research at the renowned iBrain INSERM laboratory. He has served as a Visiting Professor at Bucknell University (USA, 2010) and as a Visiting Scholar at Qatar University (2016–2017), conducting pioneering AI research. He is an Associate Editor for leading journals (Elsevier and Wiley) and organizes high-level scientific events, including the EEA Club Congress (2009) and national seminars in Algeria (2023–2024). His expertise has earned him invitations to collaborate with top researchers, including Prof. Cédric Villani. In 2022, he was appointed to Algeria’s DGRSDT Standing Sector Committee and, in 2023, joined a citizens’ panel in France for long-term policy planning. He frequently shares scientific insights on international TV, underlining his role as both a scholar and a public intellectual.

🏅 Awards and Honors

Dr. Abdeldjalil Ouahabi has received numerous honors recognizing his outstanding contributions to research and academia. He was named Outstanding Reviewer by Knowledge-Based Systems (Elsevier, Q1) in 2018 and by Measurement (Elsevier, Q1) in 2016. Early in his career, he earned the Best Paper Award from the IEEE Instrumentation and Measurement Society in 1999. In 2010, he was honored as Outstanding Visiting Professor at Bucknell University in the U.S. His scientific impact also led to collaborative work with Nobel-level minds, such as Fields Medalist Prof. Cédric Villani. He has received national recognition in Algeria, being appointed to the DGRSDT Standing Sector Committee in 2022 and organizing government-endorsed scientific seminars. These honors not only reflect the scholarly quality of his work but also his leadership in advancing scientific policy, mentoring, and international collaboration.

🔬 Research Focus

Dr. Ouahabi’s research integrates image and signal processing, biomedical engineering, and artificial intelligence with a strong focus on interdisciplinary applications. At the iBrain INSERM laboratory, he explores the intersection of computational modeling and medical diagnostics, contributing significantly to healthcare technologies. His work extends into intelligent systems and machine learning, particularly for enhancing neuroimaging, medical signal analysis, and real-time processing frameworks. He actively collaborates with international researchers on projects aimed at societal impact, including an ambitious AI initiative with Prof. Cédric Villani to advance Algeria’s scientific ecosystem. He emphasizes reproducibility, algorithmic transparency, and journal quality, often training PhD candidates and researchers in scientific writing and journal selection. Dr. Ouahabi’s 170+ publications in top-tier journals reflect a consistent output in high-impact research areas. His work not only advances theory but also promotes real-world applications, especially in smart healthcare systems and regional innovation planning.

✅ Conclusion

Dr. Abdeldjalil Ouahabi is a globally recognized professor and researcher whose interdisciplinary contributions to artificial intelligence, biomedical engineering, and signal processing have profoundly impacted both academia and public policy, earning him international awards, editorial positions in top journals, and leadership roles in science communication and national research development.

 

Publications

  • Neonatal EEG classification using a compact support separable kernel time–frequency distribution and attention-based CNN

    Biomedical Signal Processing and Control
    2025-12 | Journal article
    DOI: 10.1016/j.bspc.2025.108072
    CONTRIBUTORS: Arezki Larbi; Mansour Abed; Jaime S. Cardoso; Abdeljalil Ouahabi

  • Advanced genetic image encryption algorithms for intelligent transport systems

    Computers and Electrical Engineering
    2025-04 | Journal article
    DOI: 10.1016/j.compeleceng.2025.110162
    CONTRIBUTORS: Ismahane Souici; Meriama Mahamdioua; Sébastien Jacques; Abdeldjalil Ouahabi

  • Human Cutaneous Leishmaniasis in North Africa and Its Threats to Public Health: A Statistical Study Focused on Djelfa (Algeria)

    Microorganisms
    2023-10-22 | Journal article
    DOI: 10.3390/microorganisms11102608
    CONTRIBUTORS: Fatma Messaoudene; Slimane Boukraa; Said Chaouki Boubidi; Ahlem Guerzou; Abdeldjalil Ouahabi

  • Post-COVID-19 Education for a Sustainable Future: Challenges, Emerging Technologies and Trends

    Sustainability
    2023-04-11 | Journal article
    DOI: 10.3390/su15086487
    CONTRIBUTORS: Sébastien Jacques; Abdeldjalil Ouahabi; Zoe Kanetaki

  • Particle Swarm Optimization and Two-Way Fixed-Effects Analysis of Variance for Efficient Brain Tumor Segmentation

    Cancers
    2022-09 | Journal article | Author
    DOI: 10.3390/cancers14184399
    CONTRIBUTORS: Naoual Atia; Amir Benzaoui; Sébastien Jacques; Madina Hamiane; Kaouther El Kourd; Ayache Bouakaz; Abdeldjalil ouahab