Hisham AbouGrad | Artificial intelligence | Best Academic Researcher Award

Published on by Computer Scientists Awards

Dr. Hisham AbouGrad | Artificial intelligence | Best Academic Researcher Award

Dr. Hisham AbouGrad , Senior Lecturer , University of East London – UEL , United Kingdom.

Dr. Hisham AbouGrad is a dynamic academic and industry expert in computer science and digital technologies. Currently a Senior Lecturer at the University of East London, he brings over two decades of experience in higher education and IT. Known for bridging theory with practice, he has supervised innovative projects in AI, FinTech, and mobile app development. Dr. AbouGrad also leads international academic collaborations and contributes to top-tier journals. He is a Fellow of the Higher Education Academy and an active member of the British Computer Society, with a passion for enhancing digital learning, scientific problem-solving, and sustainable technology.

Publication Profile

Scopus

ORCID

Google scholar

🎓 Education Background

Dr. Hisham AbouGrad earned his Doctorate in Professional Studies (DProf) from London South Bank University, focusing on Workflow Information Systems Performance using BPM methodologies. He also holds a Master of Science (MSc) in Software Engineering from the University of Bradford and a Master of Business Administration (MBA) in Management from the University of Lincoln. Additionally, he completed a Postgraduate Certificate in Higher Education Practice (PGCHEP) from the University of Plymouth. His academic credentials are enhanced by certifications in project management and IT, including CITP from BCS and PMP qualifications, reinforcing his foundation in both pedagogy and technical leadership.

💼 Professional Experience

Dr. AbouGrad’s career spans prestigious academic institutions and industry roles. Since 2021, he has served as a Senior Lecturer at the University of East London, where he also fosters international collaborations. Previously, he held teaching and leadership roles at ICON College, QA Higher Education, GSM London, and the University of Plymouth. From 2011 to 2019, he was a doctoral researcher at London South Bank University. With vast teaching experience in computing, business management, and information systems, Dr. AbouGrad has mentored numerous PhD and DProf students while shaping curricula aligned with technological advancements and practical industry applications.

🏆 Awards and Honors

Dr. Hisham AbouGrad has been recognized for his commitment to academic excellence and professional contribution. He is a Fellow of the UK Higher Education Academy (FHEA), a Certified IT Professional (CITP) with the British Computer Society (BCS), and has received qualifications in IT Quality Management (ITQM). He is a founding member of UEL’s FinTech Centre and contributes actively to academic committees and journal editorial boards. As a reviewer for reputed journals like IEEE TCE, SAGE, Elsevier, and Emerald, he consistently upholds research quality, earning professional credibility and trust in the global academic and scientific communities.

🔬 Research Focus

Dr. AbouGrad’s research integrates Artificial Intelligence, FinTech, Machine Learning, Information Security, and Multi-Criteria Decision Making (MCDM) with Business Process Management (BPM) and Workflow Systems. His work aims to create scalable, secure, and intelligent digital solutions. Projects under his supervision include AI-based financial prediction systems, eCommerce fraud detection using neural networks, and mobile payment technologies. His recent studies explore AI-driven stock prediction, sentiment analysis, and fake review detection—highlighting his goal to solve real-world problems through data science, machine learning, and performance analysis. He also researches Decision Support Systems (DSS), ECM, GIS, and user-centered eCommerce design.

🔚 Conclusion

Dr. Hisham AbouGrad is a passionate educator, strategic researcher, and technology advocate whose career is marked by innovation, collaboration, and impact. His multifaceted expertise across academia and industry supports students, institutions, and global communities in adapting to digital transformation. Through research, mentorship, and leadership, he contributes to solving complex challenges in AI, FinTech, and Information Systems. With a forward-thinking mindset, he continues to influence academic practices, elevate IT performance, and foster global academic relationships. His legacy reflects both the rigor of scholarly inquiry and the relevance of applied science in the 21st century.

📚 Top Publications with Details

  1. AI-Framework to Detect eCommerce Fake Reviews: A Hybrid Neural Network Machine Learning Model
    Published: 2024, Book: Artificial Intelligence and Computational Technologies
    Cited by: 1

  2. Financial Decision-Making AI-Framework to Predict Stock Price Using LSTM Algorithm and NLP-Driven Sentiment Analysis Model
    Published: 2025, Conference: Annual International Congress on Computer Science
    Cited by: 1

  3. Decision Making by Applying Machine Learning Techniques to Mitigate Spam SMS Attacks
    Published: 2023, Conference: International Conference on Deep Learning, Artificial Intelligence and Robotics
    Cited by: 5

  4. Developing the Business Process Management Performance of an Information System Using the Delphi Study Technique
    Published: 2019, Conference: EAI International Conference on Technology, Innovation, Entrepreneurship and Education
    Cited by: 5

  5. Applying the Delphi Method to Measure Enterprise Content Management Workflow System Performance
    Published: 2022, Journal: Lecture Notes in Networks and Systems (Springer)
    Cited by: 1

  6. The Impact of Business Process Management Values on Enterprise Content Management Workflow Systems Performance
    Published: 2020, Thesis: London South Bank University
    Cited by: 1

  7. Intelligent Computing, Proceedings of the 2022 Computing Conference
    Published: 2022, Publisher: Springer International Publishing
    Cited by: 23

  8. Key Digital Trends in Artificial Intelligence and Robotics: Proceedings of ICDLAIR 2022
    Published: 2023, Publisher: Springer International Publishing
    Cited by: 1

 

Ms. Yin ZiJuan | artificial intelligence | Best Researcher Award

Published on by Computer Scientists Awards

Ms. Yin ZiJuan | artificial intelligence | Best Researcher Award

Ms. Yin ZiJuan, graduate student, Shanghai University of Engineering Science, China.

Yin Zijuan is a dedicated graduate researcher at the School of Materials Science and Engineering, Shanghai University of Engineering Science. She has cultivated a unique interdisciplinary expertise that bridges materials science with artificial intelligence. Her notable work centers around intelligent surface defect detection using deep learning models. Yin gained international recognition for developing the BBW YOLO algorithm, which improves defect detection accuracy in aluminum profile manufacturing. With a passion for integrating AI into industrial applications, Yin exemplifies the new generation of scholars who are redefining engineering research through innovation, precision, and automation.

Publication Profile

Scopus

🎓 Education Background

Yin Zijuan is currently pursuing her graduate studies at the Shanghai University of Engineering Science, within the School of Materials Science and Engineering. Her academic focus lies in fusing materials engineering with advanced computational methods. During her studies, she developed specialized knowledge in deep learning, computer vision, and image processing as they relate to quality control in industrial materials. Her academic journey is marked by excellence, with her research earning publication in reputable international journals. Yin’s education reflects a strong foundation in both traditional materials science and cutting-edge AI methodologies.

🧪 Professional Experience

As a graduate researcher, Yin Zijuan has contributed to high-impact research projects focused on AI-driven defect detection in industrial materials. Her most distinguished project involved the development and implementation of the BBW YOLO algorithm, which blends Bidirectional Feature Pyramid Networks and attention mechanisms for enhanced image recognition. She has collaborated with institutions like Harbin Institute of Technology and participated in interdisciplinary studies that bridge academia and industry. Through her ongoing work, she aims to revolutionize quality assurance processes in manufacturing by deploying real-time and lightweight neural network systems.

🏆 Awards and Honors

Yin Zijuan has earned increasing recognition in the field of intelligent detection systems. Her research achievements culminated in a significant journal publication in Coatings, a Scopus and SCI-indexed journal, in 2025. This milestone established her as a rising scholar with contributions relevant to both academic and industrial domains. Her work on BBW YOLO has been lauded for its innovation, performance efficiency, and potential impact on industrial automation. Yin is also a nominee for prestigious awards including the Best Scholar Award, Outstanding Innovation Award, and Best Paper Award, all reflecting the excellence of her work.

🔬 Research Focus

Yin Zijuan’s research encompasses a wide spectrum of interdisciplinary themes including materials science, deep learning, and computer vision. Her primary focus is on developing intelligent detection algorithms for identifying surface defects in aluminum profiles. She has pioneered the BBW YOLO model, which integrates BiFPN and BiFormer attention mechanisms with a Wise-IoU v3 loss function. Her innovations improve defect detection accuracy while maintaining high processing speeds and model efficiency. Yin’s work supports the evolution of smart manufacturing and industrial automation, positioning her as a key contributor to the fusion of AI and engineering.

📌 Conclusion

Yin Zijuan exemplifies the future of smart materials research through her fusion of artificial intelligence and industrial materials science. Her work is not only academically rigorous but also practically relevant, addressing real-world problems in manufacturing. From algorithmic innovation to high-impact publication and inter-institutional collaboration, she has demonstrated exceptional promise as a research scholar. With her continued contributions, Yin is poised to lead transformative advancements in intelligent quality control systems. She stands as a worthy nominee for multiple academic honors and awards recognizing innovation, research excellence, and scholarly distinction.

📄 Top Publications Notes

  1. BBW YOLO: Intelligent Detection Algorithms for Aluminium Profile Material Surface Defects

  2. Thermal deformation behavior and microstructural evolution of the rapidly-solidified Al–Zn–Mg–Cu alloy in hot isostatic pressing state