Ruoyu Yang | Machine Vision | Young Researcher Award

Published on by Cognitive Scientist Awards

Ms. Ruoyu Yang | Machine Vision | Young Researcher Award

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.

Busra Buran | Decision Making | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Busra Buran | Decision Making | Best Researcher Award

Research Scholar| Istanbul Technical University, Turkey

Dr. Büşra Buran, born on August 13, 1988, in Kocaeli, Turkey, is a prominent expert in management engineering with a career deeply rooted in public transportation strategy and optimization. She currently serves as the Head of Strategy Development at IETT, Istanbul’s public transport authority. With over a decade of professional experience, Dr. Buran has successfully led numerous projects involving strategic planning, quality management, service improvement, and international collaboration. Her academic achievements include a Ph.D. in Management Engineering from Istanbul Technical University, an M.Sc. in Industrial Engineering from Galatasaray University, and a B.Eng. in Industrial Engineering from Yıldız Technical University. Fluent in English, she combines technical expertise with leadership capabilities, supported by various certifications in project management, quality control, and innovation. Her work has been recognized internationally, and she actively contributes to research with several publications focusing on fuzzy logic applications, transportation models, and digital transformation strategies in public transit systems.

Profile

🎓 Education

Dr. Büşra Buran holds a robust academic background in industrial and management engineering. She completed her Ph.D. in Business Management Engineering at Istanbul Technical University (2018–2023), graduating with a GPA of 3.5/4. Her doctoral research focused on advanced decision-making methods and innovation in public transportation. Prior to that, she earned her Master of Science in Industrial Engineering from Galatasaray University (2010–2012), achieving a GPA of 3.5/4. She began her academic journey with a Bachelor’s degree in Industrial Engineering from Yıldız Technical University (2007–2010), graduating with distinction (3.4/4). Her academic excellence is complemented by certifications in project management, innovation, quality systems, and team leadership. Dr. Buran’s education is deeply integrated with applied engineering practices, statistical modeling (SPSS, Minitab), simulation tools (Simul8), and machine learning (R), equipping her with a strong foundation in both theory and practice. Her studies enabled her to apply analytical, technical, and managerial skills to large-scale public service systems.

🧪 Experience

Dr. Büşra Buran has extensive professional experience in the public transportation sector, primarily at IETT, Istanbul’s leading transit authority. Since 2017, she has been serving as the Head of Strategy Development, where she manages strategic planning, performance metrics, quality systems, corporate innovation, and international partnerships. From 2014 to 2017, she was the Manager of Service Improvement, leading the development of a service quality model, auditing standards, and benchmarking global practices. Between 2013 and 2014, she worked as the Manager of Operation Planning, handling performance analysis and optimization of bus networks, including collaborative projects with TÜBİTAK. Her career began in 2010 as a Consultant for Istanbul’s Bus Rapid Transit system, optimizing routes and managing training for international BRT implementations. She is experienced in project management, process auditing, KPI reporting, and digital transformation. Her leadership has significantly enhanced the efficiency and global standing of Istanbul’s public transport network.

🏅 Awards and Honors

Dr. Büşra Buran has consistently demonstrated academic and professional excellence throughout her career. She graduated with honors at every level—achieving GPAs of 3.4/4 in her undergraduate studies, 3.5/4 in her master’s, and 3.5/4 during her Ph.D. She has also been recognized for her contributions to transportation planning and quality improvement at IETT, receiving internal commendations for successful project outcomes and strategic innovations. Her scientific research on fuzzy logic applications in public transport and sentiment analysis during the COVID-19 pandemic has been published in prestigious journals and international conferences by Springer and Elsevier. She has also earned certifications in Project Management, Corporate Quality, Risk & Process Management, and Leadership Innovation, strengthening her credentials as a thought leader in urban mobility systems. Her scholarly achievements, combined with her impactful real-world projects, highlight her as a distinguished figure in engineering management and urban transportation.

🔬 Research Focus

Dr. Buran’s research centers on the intersection of engineering management, public transportation systems, and fuzzy decision-making models. Her Ph.D. work and subsequent publications explore advanced methodologies such as Spherical and Intuitionistic Fuzzy AHP, hybrid fuzzy systems, sentiment analysis, and business model frameworks tailored for urban transport. She has published widely on topics such as bus type selection, public transport quality modeling, and global benchmarking of transit business models. Her studies frequently employ machine learning and simulation tools like R and Simul8, along with statistical software for system optimization. A significant part of her work also delves into digital transformation, strategic innovation, and service efficiency in public bus systems, particularly in mega-cities like Istanbul. Her research not only contributes theoretical advancements in engineering management but also provides practical insights for decision-makers in transit agencies, enhancing transportation planning, passenger satisfaction, and sustainable mobility strategies.

✅ Conclusion

Dr. Büşra Buran exemplifies the synergy between academic research and public sector innovation. With her strong background in industrial and management engineering, she has driven strategic advancements in Istanbul’s public transportation. Her work is a testament to effective leadership, data-driven decision-making, and continuous quality improvement in urban mobility systems.

Publications