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.

Abbass Walid | Surface Topography | Young Scientist Award

Published on by Cognitive Scientist Awards

Mr. Abbass Walid | Surface Topography | Young Scientist Award

Abbass Walid is a highly driven and committed HSE Engineer/Manager with extensive expertise in industrial, production, process, and quality assurance engineering. With a strong foundation in ISO standards, regulatory frameworks, and industrial operations, he is passionate about optimizing production efficiency, product quality, and energy consumption. His professional journey includes significant roles at Union Copper Rod L.L.C, where he successfully led production optimization projects, and currently serves as a Construction Safety Engineer at Saleh Constructions L.L.C. In addition to his operational accomplishments, he has contributed academically with a publication in the Journal of Metrology MDPI, reflecting his strong inclination toward scientific research and innovation in functional surface characterization. Proficient in multiple industrial software systems like SAP, ERP, and MES, and knowledgeable in SCADA and DCS systems, Abbass demonstrates a unique blend of technical acumen and hands-on leadership. He holds a Bachelor’s degree in Industrial Engineering and Management from IU International University of Applied Sciences, Germany.

Profile

🎓 Education

Abbass Walid earned his Bachelor of Industrial Engineering and Management (B.Eng.) from IU International University of Applied Sciences, Erfurt, Germany, achieving a commendable academic grade of over 75% (German grade 2.5). His degree is fully recognized by the State of Thuringia, attested in the UAE, and certified by the German Embassy in Dubai. Beyond his formal education, Abbass has pursued numerous occupational certifications to enhance his professional expertise. These include Energy Management Lead Implementor (ISO 50001:2018), IMS Internal Auditor Training (ISO 9001:2015, ISO 45001:2018, ISO 14001:2015), and specialized training in emergency response, civil defense firefighting, and first aid. These additional certifications have equipped him with extensive knowledge in energy management systems, quality management, health and safety, and emergency preparedness—critical areas for modern industrial operations. His commitment to continuous learning reflects his passion for excellence in safety, efficiency, and sustainability.

🧪 Experience

Abbass Walid brings a wealth of practical experience in industrial, manufacturing, and safety engineering. Currently, he serves as a Construction Safety Engineer at Saleh Constructions L.L.C (since May 2025), where he designs section plans, identifies process bottlenecks, and develops comprehensive risk management programs. Prior to this, from 2018 to 2024, he held a pivotal role as Production Engineer at Union Copper Rod L.L.C, managing production lines for copper rods, coordinating raw material usage, overseeing quality control, and driving efficiency improvements. His innovative adjustments to equipment design, such as optimizing air knives and shaft melting furnace operations, significantly enhanced product quality and energy efficiency. He also led energy management certification projects aligning with ISO 50001:2018 and performed extensive energy audits to reduce operational costs. His deep involvement in shutdown, maintenance, and optimization projects showcases his versatile engineering capabilities and leadership in complex industrial environments.

🏅 Awards and Honors

While Abbass Walid’s formal list of awards is still developing, his professional accomplishments reflect industry-wide recognition of his abilities. His innovative contributions, such as successfully designing and implementing modifications to production equipment that improved energy efficiency and product quality, have been well acknowledged within his organizations. His leadership in securing ISO 50001:2018 certification single-handedly at Union Copper Rod L.L.C demonstrates his exceptional competence in energy management systems. His publication in Journal of Metrology MDPI highlights his academic contributions and thought leadership in functional surface characterization. Furthermore, his numerous third-party certifications from leading organizations such as Bureau Veritas and Highfield demonstrate his recognized expertise in energy management, occupational safety, emergency response, and quality systems auditing. These certifications not only validate his technical proficiency but also reflect his commitment to maintaining the highest standards of professional excellence in the field of industrial and safety engineering.

🔬 Research Focus

Abbass Walid’s research interests are rooted in industrial process optimization, functional surface characterization, and energy management. His publication in Journal of Metrology MDPI addresses the evolving methodologies in scientific functional characterization of surface topography, providing a comprehensive review of measurement principles and evaluation strategies used to assess functional surfaces. This work emphasizes the growing importance of optical measurement technologies and the untapped potential for applying function-oriented parameters in industrial settings. In his professional capacity, Abbass has focused extensively on optimizing manufacturing processes to achieve consistent product quality while minimizing energy and material consumption. His energy audits and ISO 50001:2018 certification efforts further reflect his focus on sustainability and operational efficiency. By integrating practical industrial knowledge with scientific research, Abbass aims to bridge the gap between academic advancements and real-world applications in industrial manufacturing and safety systems.

✅ Conclusion

Abbass Walid exemplifies a rare blend of scientific insight and industrial expertise, driving operational excellence, energy efficiency, and safety standards while contributing to academic research and continually advancing his professional qualifications.

Publications

  • Common Practices and Methodologies in Scientific Functional Characterization of Surface Topography

    Metrology
    2025-06-05 | Journal article
    DOI: 10.3390/metrology5020033
    CONTRIBUTORS: Abbass Walid; Matthias Eifler

Raveendra Pilli | Image Processing | Best Researcher Award

Published on by Cognitive Scientist Awards

Mr. Raveendra Pilli | Image Processing | Best Researcher Award

He mentored B.Tech. projects focused on the early detection of Alzheimer’s Disease. One project involved utilizing multi-modality neuroimaging techniques, where MRI and PET images were collected from the OASIS database, preprocessed, and robust features were extracted for classification. MATLAB and the SPM-12 toolbox were used for this task. Another project focused on the early detection of Alzheimer’s Disease using deep learning networks, where an MRI dataset from the ADNI database was collected, preprocessed, and the performance was compared with baseline algorithms. For this project, he used MATLAB and Python.

NIT-Silchar, India

Profile

Education

A dedicated research scholar with a Ph.D. in Electronics and Communication Engineering from the National Institute of Technology Silchar (Thesis Submitted, CGPA 9.0), specializing in brain age prediction and early detection of neurological disorders using neuroimaging modalities. With extensive teaching experience, a strong passion for research, and a proven ability to develop engaging curricula, deliver effective lectures, and guide students toward academic success, I am committed to contributing to the field through research, publications, and presentations. My academic journey includes an M.Tech. from JNTU Kakinada (76.00%, 2011) and a B.Tech. from JNTU Hyderabad (65.00%, 2007), along with a strong foundational background in science, having completed 10+2 (MPC) with 89.00% in 2003 and SSC with 78.00% in 2001.

Work experience

He worked as a Junior Research Fellow at the National Institute of Technology, Silchar, Assam, from July 2021 to June 2023, where he assisted professors with course delivery for Basic Electronics, conducted laboratory sessions, graded assignments, and provided office hours for student support. From July 2023 to December 2024, he served as a Senior Research Fellow at the same institute, taking on additional responsibilities, including mentoring B.Tech. projects and assisting with Digital Signal Processing laboratory duties. Prior to his research roles, he was an Assistant Professor at SRK College of Engineering and Technology, Vijayawada, Andhra Pradesh, where he taught courses such as Networks Theory, Digital Signal Processing, RVSP, SS, and LICA. He utilized innovative teaching methods, including active learning techniques, to enhance student engagement and learning outcomes. He also mentored undergraduate research projects in image processing and received positive student evaluations for his teaching effectiveness.

Publication

Nuo Yu | Radiomics | Best Researcher Award

Published on by Cognitive Scientist Awards

Ms. Nuo Yu | Radiomics | Best Researcher Award

Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College ,China

Nuo Yu is a Ph.D. candidate at the Cancer Institute and Hospital of the Chinese Academy of Medical Sciences, specializing in radiation oncology with a focus on esophageal squamous cell carcinoma (ESCC). His research primarily explores innovative chemoradiotherapy regimens to improve treatment outcomes for patients with locally advanced ESCC.

Yu has contributed to several peer-reviewed publications in SCI-indexed journals. Notably, he co-authored a study titled “Conversion Chemoradiotherapy Combined with Nab-Paclitaxel Plus Cisplatin in Patients with Locally Advanced Borderline-Resectable or Unresectable Esophageal Squamous Cell Carcinoma: A Phase I/II Prospective Cohort Study,” published in Strahlentherapie und Onkologie in August 2024. This research evaluated the efficacy and safety of a novel chemoradiotherapy regimen, demonstrating promising results in locoregional control and overall survival rates.

In March 2023, Yu co-authored another significant study, “Efficacy and Safety of Concurrent Chemoradiotherapy Combined with Nimotuzumab in Elderly Patients with Esophageal Squamous Cell Carcinoma: A Prospective Real-world Pragmatic Study,” published in Current Cancer Drug Targets. This research focused on treatment strategies for elderly patients with ESCC, highlighting the potential benefits of combining chemoradiotherapy with nimotuzumab.

Yu’s work has been recognized at international conferences, including presentations at the American Society for Radiation Oncology (ASTRO), the Federation of Asian Organizations for Radiation Oncology (FARO), and the Korean Society for Radiation Oncology (KOSRO). These engagements underscore his active participation in the global radiation oncology community and his commitment to advancing cancer treatment research.

While still in the early stages of his career, Yu’s focused research on ESCC and his contributions to the field of radiation oncology position him as a promising candidate for the Best Researcher Award. Continued efforts to expand his research scope, increase publication impact, and assume leadership roles in larger-scale studies will further strengthen his candidacy.

Profile

Scientific Publications