Abu Dhabi University | United Arab Emirates

PUBLICATION PROFILE

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📘 INTRODUCTION

DR. MURAD AL-RAJAB is a dedicated academic and technology professional whose expertise spans across computer science, data science, artificial intelligence, and sustainable computing. With over a decade of experience in academia and IT leadership, Dr. Al-Rajab is recognized for his ability to bridge the gap between theoretical knowledge and practical application in digital transformation and emerging technologies.

🎓 EARLY ACADEMIC PURSUITS

Dr. Al-Rajab’s academic journey began with a Bachelor of Science in Computer Science from Aman University of Science and Technology in 2005. He later pursued two Master’s degrees: one in Computer Science from the New York Institute of Technology in 2008 and another in Information Systems Management from HCT in 2014. His academic aspirations culminated in earning a PhD in Computer Science from the University of Huddersfield in 2019, marking the foundation for his future contributions to academic research and teaching.

👨‍🏫 PROFESSIONAL ENDEAVORS

Dr. Al-Rajab currently serves as an Assistant Professor at Abu Dhabi University (ADU) since 2020, having also served as a Part-Time Adjunct Assistant Professor from 2019–2020. His prior roles include a Lecturer at Abu Dhabi School of Management (ADSM) and IT Director at ALHOSN University. These roles reflect a unique blend of academic dedication and administrative expertise, showcasing his leadership in both educational and operational spheres.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Al-Rajab’s research interests include machine learning, data science, AI applications, smart systems, and sustainable technology solutions. His work focuses on applying AI to societal challenges—from energy optimization and disaster management to AR-based education and smart tourism. As an active researcher, he explores interdisciplinary frameworks, often combining data-driven models with real-world applications.

🌍 IMPACT AND INFLUENCE

Through organizing initiatives like Software Engineering Days, Cybersecurity Days, and Blockchain Hackathons (2021–2024), Dr. Al-Rajab has become a catalyst for tech-driven dialogue and student engagement. As Leader of the ADU Computing Club and Coordinator of field trips and social activities, he promotes academic enrichment and community building. His work also includes committee contributions to ICASF 2024, the ADU IMT Steering Committee, and more.

📚 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Al-Rajab has published several impactful journal articles and conference papers in recent years. His works include:

“Sustainable EnergySense” (2024, Discover Sustainability), addressing energy efficiency through machine learning.
“QUALITY POINTPAL” (2024), redefining social networking with AI.
A highly innovative study on crescent moon visibility prediction published in both Scientific Reports (2023) and Journal of Big Data (2024).
He also contributed to cancer detection, traffic flow forecasting, and gene classification using AI models.
Notably, his 2024 paper on AI for Real-Time Disaster Management, presented at CITS in Spain, reflects his ongoing commitment to societal impact through research.

🏅 HONORS & AWARDS

Dr. Al-Rajab has received multiple awards for excellence and innovation. In 2024, he was honored with the Best Scientific Research Contribution Award by the University of Wollongong, Dubai. He also received the Best Presentation Award at an international research conference in Canada (2020) and was recognized as Best Presenter at HCT in 2013.

🧑‍💻 CERTIFICATIONS & PROFESSIONAL MEMBERSHIP

A certified IBM Data Science Practitioner Instructor and a Huawei Certified ICT Associate in AI, Dr. Al-Rajab continuously sharpens his skillset through professional certifications in IoT, Enterprise Design Thinking, and Applied Data Science. He is also a proud member of the British Computer Society – The Chartered Institute for IT, reinforcing his engagement in the global tech community.

🧠 PROFESSIONAL DEVELOPMENT

He actively participates in workshops and training sessions including AI in education, reflective STEM strategies, quantitative research design, and leadership programs. These continuous learning efforts demonstrate his passion for staying ahead in both pedagogy and technology.

💡 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Al-Rajab’s legacy is deeply embedded in nurturing innovation, enhancing educational experiences, and fostering sustainable digital transformation. With an eye on the future, his upcoming initiatives and research are expected to further integrate AI for societal good, especially in education, healthcare, and smart living.

📝 FINAL NOTE

Dr. Murad Al-Rajab exemplifies the modern academic—visionary, innovative, and community-driven. His balanced contributions in research, teaching, leadership, and student empowerment make him a key figure in the region’s academic and technological advancement. As technology evolves, so does his mission: to build smarter, more sustainable futures through the power of education and innovation.

📚 TOP NOTES PUBLICATIONS

Title: Examining applying high performance genetic data feature selection and classification algorithms for colon cancer diagnosis

- Authors: M. Al-Rajab, J. Lu, Q. Xu
- Journal: Computer Methods and Programs in Biomedicine
- Year: 2017

Title: Parking problems in Abu Dhabi, UAE toward an intelligent parking management system “ADIP: Abu Dhabi Intelligent Parking”

- Authors: S.A. Alkheder, M.M. Al Rajab, K. Alzoubi
- Journal: Alexandria Engineering Journal
- Year: 2016

Title: A framework model using multifilter feature selection to enhance colon cancer classification

- Authors: M. Al-Rajab, J. Lu, Q. Xu
- Journal: PLOS ONE
- Year: 2021

Title: Quality Pointpal: AI-enhanced redefinition of social networking for sustainable digital usage and genuine human connections

- Authors: O.O. Ahmed, S.I.T. Islam, S.I. Hamdan, M. Al-Rajab, I. Alqatawneh, A. Al-Sartawi, et al.
- Journal: Operational Research in Engineering Sciences: Theory and Applications
- Year: 2024

Title: AI-Powered Smart Book: Enhancing Arabic Education in Palestine with Augmented Reality

- Authors: M. Al Rajab, S. Odeh, S. Hazboun, E. Alheeh
- Journal: International Symposium on Ambient Intelligence
- Year: 2023

Jun Wang | Artificial Intelligence | Best Researcher Award

Posted on 09/04/202509/04/2025 by ScienceFather

Assoc Prof Dr. Jun Wang | Artificial Intelligence | Best Researcher Award

Henan University | China

PUBLICATION PROFILE

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👨‍🏫 INTRODUCTION

Assoc Prof Dr. Jun Wang is a distinguished academic at the School of Artificial Intelligence, Henan University. His expertise spans computer vision, intelligent robotics, and medical image processing. Through his pioneering research and educational contributions, Dr. Wang has had a significant impact on both academic circles and industrial advancements. He is recognized for his ability to bridge the gap between theoretical research and real-world applications, particularly in areas like robot path planning and salient object detection.

📚 EARLY ACADEMIC PURSUITS

Dr. Wang’s academic journey started with a strong passion for artificial intelligence and robotics. His early studies in machine learning and image processing laid the groundwork for his future research endeavors. His relentless pursuit of knowledge and curiosity in these fields led him to advance his education and make groundbreaking contributions that would later shape his successful career.

💼 PROFESSIONAL ENDEAVORS

As an Associate Professor, Dr. Wang has made invaluable contributions to both the academic and professional realms. He has taught courses such as programming, embedded systems, robotics, and computer vision, nurturing the next generation of engineers. His professional endeavors also extend beyond the classroom, as his innovations in robotics and AI have led to multiple successful collaborations with industry, enhancing both technological development and practical applications.

🔬 CONTRIBUTIONS AND RESEARCH FOCUS

Dr. Wang’s primary research interests focus on computer vision, intelligent robotics, and medical image processing. His groundbreaking work has resulted in several cutting-edge algorithms, especially in the areas of salient object detection and robot path planning. His research is not only focused on solving theoretical challenges but also on providing practical solutions for real-world problems, particularly in healthcare and automation.

🌍 IMPACT AND INFLUENCE

Dr. Wang’s influence is far-reaching, both in academia and industry. His research has had a direct impact on robotics, AI technologies, and medical imaging, contributing to the development of advanced tools and systems. As a mentor, Dr. Wang has also inspired numerous students, leading them to win national and provincial robotics competitions, further cementing his role as a key figure in shaping the future of robotics and AI.

📑 ACADEMIC CITATIONS AND PUBLICATIONS

Dr. Wang’s extensive research has been widely published in prestigious journals such as Applied Intelligence, Neural Computing & Applications, and Multimedia Tools & Applications. Some of his key publications include:

Wang, J., Yang, Q., Yang, S. et al. Dual-path Processing Network for High-resolution Salient Object Detection. Appl Intell 52, 12034–12048 (2022).
Wang, J., Zhao, Z., Yang, S. et al. Global Contextual Guided Residual Attention Network for Salient Object Detection. Appl Intell 52, 6208–6226 (2022).
His research continues to be cited globally, making him a leading figure in the fields of computer vision and robotics.

🏆 HONORS & AWARDS

Dr. Wang’s dedication to teaching and research has earned him numerous awards and honors throughout his career. His accolades include recognition from Henan Provincial Science and Technology Department and the National Natural Science Foundation of China. Additionally, he has been acknowledged for his role as an award-winning instructor, guiding students to victories in national and provincial robotics competitions.

🌟 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Wang is leaving a lasting legacy through his continued research and innovative contributions. His current and future work promises to significantly impact the fields of robotics and AI, with a particular focus on medical imaging and robot interaction. Dr. Wang’s efforts ensure that his influence will continue for years to come, shaping the direction of future technological advancements in these fields.

💬 FINAL NOTE

Assoc Prof Dr. Jun Wang’s groundbreaking work in artificial intelligence, robotics, and medical image processing is a testament to his commitment to advancing technology and improving society. His research, mentorship, and innovations have not only enhanced academic knowledge but also practical applications across industries. As his legacy continues to inspire the next generation of researchers, Dr. Wang’s future contributions will undoubtedly continue to make a significant impact on the world.

TOP NOTES PUBLICATIONS 📚

Exploring Class-Agnostic Pixels for Scribble-Supervised High-Resolution Salient Object Detection

- Authors: Jun Wang
- Journal: Neural Computing and Applications
- Year: 2022

Depth Enhanced Cross-Modal Cascaded Network for RGB-D Salient Object Detection

- Authors: Jun Wang
- Journal: Neural Processing Letters
- Year: 2022

Rabindra Kumar Behera | Energy and Utilities Analytics | Best Researcher Award

Posted on 19/02/202519/02/2025 by ScienceFather

Prof Dr. Rabindra Kumar Behera | Energy and Utilities Analytics | Best Researcher Award

National Institute of Technology, Rourkela | India

Publication Profile

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DR. RABINDRA KUMAR BEHERA: ACADEMIC EXCELLENCE IN MECHANICAL ENGINEERING 🏅

INTRODUCTION 📚

Dr. Rabindra Kumar Behera, a Professor in the Department of Mechanical Engineering at the National Institute of Technology (NIT) Rourkela, Odisha, has dedicated 27 years to academic excellence in the field of mechanical engineering. With an extensive portfolio of research, teaching, and administrative experience, he is a leading figure in the areas of machine design, mechanical vibration, and non-linear dynamics. His contributions continue to inspire and shape the future of mechanical engineering education and research.

EARLY ACADEMIC PURSUITS 🎓

Dr. Behera’s academic journey began with a strong foundation in mechanical engineering, culminating in a Ph.D. degree. His passion for understanding the intricacies of mechanical systems and their behaviors motivated him to explore complex phenomena such as vibrations and non-linear dynamics. His relentless pursuit of knowledge propelled him toward becoming a distinguished academic in his field, guiding numerous students and shaping the academic landscape of his department.

PROFESSIONAL ENDEAVORS 💼

For nearly three decades, Dr. Behera has contributed significantly to the growth of mechanical engineering education. As a professor at NIT Rourkela, he has mentored numerous undergraduate and graduate students, guiding them through challenging coursework and research projects. His vast teaching experience, combined with his research acumen, has made him a respected mentor in the academic community. Dr. Behera’s leadership extends beyond the classroom, as he has been actively involved in various administrative roles, including serving as a warden for several hostels and committee member for various institutional activities.

CONTRIBUTIONS AND RESEARCH FOCUS ON ENERGY AND UTILITIES ANALYTICS🔬

Dr. Behera’s research spans across a range of topics, with a particular emphasis on machine design and analysis, mechanical vibrations, and non-linear dynamics. His work has contributed to the development of advanced models and solutions for mechanical systems, enhancing their performance and reliability. With over 35 publications in national and international journals and eight book chapters, Dr. Behera has made a lasting impact on the field. His ongoing projects focus on exploring new dimensions of mechanical vibrations and the integration of non-linear dynamics in complex engineering systems.

IMPACT AND INFLUENCE 🌟

Dr. Behera’s influence extends far beyond his research and teaching. He has guided 30 B.Tech and 30 M.Tech theses, providing invaluable mentorship to his students. Furthermore, he has successfully guided three Ph.D. students to completion, with three others currently working under his guidance. His outreach activities include serving as an empaneled expert for AICTE and contributing to faculty selection processes. Dr. Behera’s involvement as a member of various academic boards and his invitation as a speaker at numerous conferences highlight his stature as an expert in his field.

ACADEMIC CITATIONS AND PUBLICATIONS 📑

With an impressive portfolio of 35 publications, Dr. Behera has contributed extensively to the body of knowledge in mechanical engineering. His research on mechanical vibrations and non-linear dynamics has been widely cited by peers and researchers alike, solidifying his position as a thought leader. His academic output is regularly featured in prestigious national and international journals, and his work continues to inspire new avenues of research in mechanical design and analysis.

HONORS & AWARDS 🏆

Dr. Behera’s contributions to the field have not gone unnoticed. He has received recognition for his excellence in research and education, both nationally and internationally. Notably, his empanelment as an expert for AICTE in the year 2024-2025 is a testament to his scholarly achievements and his commitment to advancing education in mechanical engineering. Additionally, he has been honored with awards for his long-standing contributions to academia and his guidance of Ph.D. and M.Tech students.

FINAL NOTE ✨

Dr. Rabindra Kumar Behera’s career has been marked by a commitment to academic excellence, innovation in research, and dedication to mentorship. His contributions to the field of mechanical engineering continue to shape the future of engineering education, making a profound impact on students and researchers alike. As he continues his work at NIT Rourkela, his legacy will endure, inspiring future generations of mechanical engineers.

LEGACY AND FUTURE CONTRIBUTIONS 🔮

Looking forward, Dr. Behera remains deeply committed to advancing the field of mechanical engineering. His ongoing projects promise to uncover new insights into the complex dynamics of mechanical systems. With his experience and expertise, Dr. Behera is poised to continue making substantial contributions to the development of next-generation engineers and the field of mechanical engineering as a whole.

TOP NOTES PUBLICATIONS 📚

Title: Rational pore engineering reveals the relative contribution of enzymatic sites and self-assembly towards rapid ferroxidase activity and mineralization: impact of electrostatic guiding and cage-confinement in bacterioferritin

Authors: Akankshika Parida, Gargee Bhattacharyya, Swagatika Mallik, Rabindra K. Behera
Journal: Chemical Science
Year: 2025

Title: Gastric stability of bare and chitosan-fabricated ferritin and its bio-mineral: implication for potential dietary iron supplements

Authors: Rohit Kumar Raut, Gargee Bhattacharyya, Rabindra K. Behera
Journal: Dalton Transactions
Year: 2024

Title: Iron mobilization from intact ferritin: effect of differential redox activity of quinone derivatives with NADH/O2 and in situ-generated ROS

Authors: Narmada Behera, Gargee Bhattacharyya, Satyabrat Behera, Rabindra K. Behera
Journal: JBIC Journal of Biological Inorganic Chemistry
Year: 2024

Title: Modification of 4-Fold and B-Pores in Bacterioferritin from Mycobacterium tuberculosis Reveals Their Role in Fe2+ Entry and Oxidoreductase Activity

Authors: Akankshika Parida, Abhinav Mohanty, Rohit Kumar Raut, Ipsita Padhy, Rabindra K. Behera
Journal: Inorganic Chemistry
Year: 2023

Title: Ferritin: A Promising Nanoreactor and Nanocarrier for Bionanotechnology

Authors: Abhinav Mohanty, Akankshika Parida, Rohit Kumar Raut, Rabindra K. Behera
Journal: ACS Bio & Med Chem Au
Year: 2022