Dr. Waleed Yousef | Branding | Business Impact Award

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Dr. Waleed Yousef | Branding | Business Impact Award

Dr. Waleed Yousef | Branding | Business Impact Award

Dr. Waleed Yahya Yousef is a distinguished academic and professional with extensive experience in branding, consumer behavior, and education. With a Ph.D. in branding and consumer behavior from Middlesex University, London, he currently serves as the Director of Quality and Planning at the Royal Commission for Jubail and Yanbu. Dr. Yousef is also an Assistant Professor at Jubail University College, specializing in marketing and business administration. With a passion for research and professional development, he has published multiple studies on brand love, Islamic branding, and consumer behavior, contributing significantly to academic and industry knowledge. 📚🎓💼

Professional Profile:

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Education and Experience:

  • Ph.D. in Branding and Consumer Behavior – Middlesex University, London (2018) 🎓

  • Master’s in Marketing and Communications – Manchester Metropolitan University (2010) 📚

  • Bachelor’s in Administrative and Planning Science, Marketing – King Faisal University, Saudi Arabia (2007) 🎓

  • Director of Quality and Planning, Education Sector – Royal Commission for Jubail and Yanbu (2019-Present) 🏫

  • Chairman, Business Administration Department – Royal Commission for Jubail and Yanbu (2019-2020) 🏢

  • Assistant Professor – Jubail University College (2018-Present) 👨‍🏫

  • Lecturer – Jubail University College (2011-2018) 📖

  • Lecturer (Part-time) – Imam Abdulrahman Bin Faisal University (2011) 🏫

Professional Development:

Dr. Yousef is committed to both academic and professional development, having attended and led numerous workshops and conferences. His participation in global events like the Global Islamic Marketing Conference and workshops on research skills reflects his passion for continuous learning. As a trainer, he has conducted workshops on Customer Service, Effective Communication, Time Management, and Leadership, fostering skills development in various industries. His involvement in curriculum development, academic councils, and quality assurance initiatives further highlights his leadership and commitment to education. 💡🧑‍🏫📅

Research Focus:

Dr. Waleed Yousef’s research centers on branding and consumer behavior, particularly within Islamic markets. His studies explore the impact of religious beliefs on brand love, celebrity influence, and the effects of sustainable development on country image. Dr. Yousef has also contributed to research on consumer psychology and marketing strategies in Saudi Arabia and other global contexts. His work has been published in prestigious journals like Corporate Reputation Review and Sustainability, where he delves into the intersection of brand loyalty, consumer personality, and corporate reputation. 📑🧐🌍

Awards and Honors:

  • Best Paper Award – 6th Global Islamic Marketing Conference, 2015 🏆

  • Research Recognition – Multiple articles published in top-tier academic journals 📚

  • Academic Excellence Award – Middlesex University London 🏅

  • Outstanding Lecturer Award – Jubail University College (2017) 🏆

  • Conference Speaker – Various international conferences on marketing and branding 🌍

Publication Top Notes:

1. Do Social Pressure and Technological Development Influence Green Consumer Behavior? Evidence from Saudi Arabia

Author(s): Waleed Yahya Yousef (W.Y. Yousef)
Journal: International Journal of Advertising
Year of Publication: 2025
Citations: 0
DOI: Disabled (Link to the article is not provided)

Summary:
This study explores how social pressure and technological development impact green consumer behavior in Saudi Arabia. It examines how consumers’ environmental attitudes are influenced by both societal expectations and the technological advancements surrounding green products. The research suggests that social pressure, in particular, has a significant role in shaping consumer decisions to adopt environmentally friendly products, especially in a fast-developing society like Saudi Arabia. Technological innovation, such as eco-friendly product offerings and digital tools for environmental education, also plays a pivotal role in encouraging green purchasing decisions. The findings underline the importance of understanding local socio-cultural contexts in fostering sustainable consumption behaviors.

2. An Examination of the Influence of Attitude, Perceived Quality, and Social Pressure on Place Likeability, Revisit Intention, and Intention to Recommend; A Study of Consumers’ Perceptions Towards Shopping Malls in Saudi Arabia

Author(s): Waleed Yahya Yousef
Journal: Corporate Reputation Review
Date of Publication: June 30, 2022
DOI: 10.1057/s41299-022-00146-8
Citations: 3

Summary:
This study investigates how attitudes, perceived quality, and social pressure affect consumers’ perceptions of shopping malls in Saudi Arabia, specifically in terms of place likeability, revisit intention, and intention to recommend. The research finds that consumers’ overall perception of shopping malls is highly influenced by their attitudes towards the mall’s quality and the social environment in which they operate. Additionally, social pressure plays a significant role in consumers’ intention to revisit and recommend the mall. The paper suggests that mall managers and marketers in Saudi Arabia should consider the cultural and social factors when developing strategies to enhance customer satisfaction and loyalty. This study is particularly relevant for businesses looking to improve their brand reputation and customer base in the region.

Conclusion:

Dr. Waleed Yahya Yousef is an ideal candidate for the Business Impact Award due to his multifaceted contributions across education, research, industry development, and leadership. His scholarly achievements, coupled with his professional engagement in improving quality and planning within the educational and business sectors, position him as a transformative figure. Dr. Yousef’s work in branding and consumer behavior, particularly in Islamic markets, offers a valuable framework for contemporary business practices and contributes to the development of strategic marketing initiatives both regionally and globally. His continuous focus on professional development, research, and education makes him a significant force for positive change, deserving of the Business Impact Award.

Fadi Sibai | Network | Best Researcher Award

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Assoc. Prof. Dr. Fadi Sibai | Network | Best Researcher Award

Associate Professor at Gulf University for Science and Technology, Kuwait

Dr. Fadi Sibai is an accomplished Associate Professor at Gulf University for Science and Technology (GUST) in Kuwait, with over 35 years of experience in electrical and computer engineering, AI, cybersecurity, and academic leadership. He holds a Ph.D. in Electrical Engineering from Texas A&M University and has held senior roles in prestigious institutions like Intel, Saudi Aramco, and UAE University. Dr. Sibai’s interdisciplinary research focuses on AI, machine learning, cybersecurity, and digital design, with numerous publications, including over 78 journal articles and 10 books. He has received multiple prestigious awards, such as the IBM Faculty Award and nVIDIA Research Grant, and is recognized as a leading innovator in smart cities, healthcare, and AI ethics. His work has significantly impacted education, industry, and society, making him an ideal candidate for the Best Researcher Award.

Professional Profile
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Educational Details

Dr. Sibai earned his Ph.D. and M.S. degrees in Electrical Engineering from Texas A&M University, specializing in computer engineering with minors in computer science and communications. His doctoral research focused on AI-based coprocessor architectures. He also received his B.S. in Electrical Engineering from the University of Texas at Austin, concentrating on computer science and engineering. His academic qualifications are bolstered by certifications such as PMP, CISSP, CQRM, and advanced studies at Stanford University.

Professional Experience

Dr. Sibai’s career spans academia, industry, and research leadership. He served as Dean of Engineering at Prince Mohammad Bin Fahd University, Dean at American International University Kuwait, and Associate Dean at GUST, where he played a key role in curriculum development, program accreditation (ABET, NCAAA), and launching AI and cybersecurity programs. In the industry, he held senior positions at Intel Corporation and Saudi Aramco, overseeing impactful projects in HPC, network security, robotics, and IT/OT integration. He has also been a consultant, educator, and researcher at various global institutions, including Walden University, KFUPM, and UAE University.

Research Interests

Dr. Sibai's research is interdisciplinary, focusing on AI, machine learning, computer and embedded systems, high-performance computing, digital design, data science, robotics, and cybersecurity. His recent work includes AI for smart cities , AI ethics and regulation , ensemble learning models in healthcare , and network-on-chip architectures. He is also an expert in neural networks , fault-tolerant computing, and energy-aware systems, blending theoretical modeling with real-world applications.

Author Metrics

Dr. Sibai has authored or co-authored over 250 scholarly publications, including 78+ journal articles, 10 books/book chapters, and numerous conference papers . Many of these are indexed in Scopus and IEEE Xplore, with his work being cited nearly 1,000 times. He is a long-time member of editorial boards and technical committees for top journals and conferences.

Awards and Honors

Dr. Sibai’s career has been recognized with numerous prestigious awards, including the IBM Shared University Research Award , IBM Faculty Award, nVIDIA Research Grant, and multiple Intel awards for innovation and performance excellence. He was named among IBC’s Top 100 Engineers and Educators and featured in Who’s Who in the World. He is also a distinguished speaker at international conferences and won the Best Research Project Award at UAE University. As a Senior IEEE Member and a member of organizations like PMI and ISC2, he is widely respected in both academia and industry.

Publication Top Notes
1. ParaEyes: The Smart Eye Bot System for Paralyzed Patients

  • Authors: M. Al Jaziri, G. Al Ali, H. Al Swailmeen, A.A. El-Moursy, F.N. Sibai

  • Journal: Journal of Circuits, Systems and Computers, 2025

  • Summary:
    This paper presents ParaEyes, a smart assistive bot system that enables paralyzed patients to interact with their environment using eye movements and blinking patterns. Leveraging computer vision, machine learning, and sensor fusion, the system facilitates tasks such as communication and device control. The research highlights its real-world applicability in neurorehabilitation and patient autonomy, especially for individuals with ALS or spinal cord injuries.

2. Using The Cancer Genome Atlas from cBioPortal to Develop Genomic Datasets for Machine Learning Assisted Cancer Treatment

  • Authors: A. Asaduzzaman, C.C. Thompson, F.N. Sibai, M.J. Uddin

  • Platform: bioRxiv preprint, 2025.02.17.638660

  • Summary:
    This study extracts and preprocesses genomic data from The Cancer Genome Atlas (TCGA) using cBioPortal, creating machine-learning-ready datasets for the development of predictive models in personalized cancer treatment. It lays the foundation for using ML classifiers to assist oncologists in tailoring treatment plans based on genomic signatures, supporting precision oncology research.

3. The Robustness of AI-Classifiers in the Face of AI-Assisted Plagiarism: The Case of Turnitin AI Content Detector

  • Authors: K. Ibrahim, D. Otaibi, F.N. Sibai

  • Journal: International Journal of Computer-Assisted Language Learning and Teaching (IJCALLT), 2025

  • Summary:
    This paper examines the reliability and vulnerability of AI-based plagiarism detection tools, particularly Turnitin’s AI Content Detector, in detecting content generated or modified by large language models (LLMs). The findings expose potential weaknesses in current detection algorithms and propose methods for enhancing AI classifier robustness in academic integrity systems.

4. Application of Ensemble Learning Models in Computer-Aided Diagnosis of Skin Diseases

  • Authors: A. Asaduzzaman, C.C. Thompson, F.N. Sibai, M.J. Uddin

  • Journal: Neural Computing and Applications, 2025

  • Summary:
    This research evaluates the performance of ensemble learning models (such as Random Forest, XGBoost, and AdaBoost) for diagnosing skin diseases using clinical and dermoscopic image data. The models showed high accuracy, sensitivity, and specificity, demonstrating that ensemble-based approaches can significantly enhance AI-aided dermatological diagnostics.

5. A Collaborative Adaptive Cybersecurity Algorithm for Cognitive Cities

  • Authors: A. Abonamah, F.N. Sibai

  • Journal: Journal of Computer Information Systems, 2025, pp. 1–16

  • Summary:
    This paper proposes a collaborative and adaptive cybersecurity framework designed for cognitive cities. It integrates machine learning algorithms and shared threat intelligence to enable smart urban infrastructure to defend against evolving cyber threats. The model improves resilience, detection, and adaptability in real-time, supporting safe digital environments in smart city ecosystems.

Conclusion

Assoc. Prof. Dr. Fadi Sibai is eminently qualified for the Best Researcher Award, standing out for his long-term research excellence, technological innovation, and strategic leadership in academic and applied AI domains. His work addresses societal challenges through AI, pushes forward smart infrastructure and cybersecurity, and contributes meaningfully to medical, ethical, and educational AI ecosystems.

His record of scholarship, innovation, mentorship, and global engagement makes him a deserving and ideal candidate for this prestigious honor. The award would not only recognize his decades of impact but also support his ongoing contributions to shaping the future of AI, education, and engineering.

Abdullah Abonamah | Machine Learning | Best Researcher Award

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Prof. Abdullah Abonamah | Machine Learning | Best Researcher Award

Research Affiliate at George Washington University, United States

Prof. Abdullah A. Abonamah is a distinguished academic and technology leader with over 40 years of expertise in artificial intelligence (AI), machine learning, and higher education. He currently serves as a Professor of Computing and AI at George Washington University and Chairman of AI Learning Solutions in the UAE. Dr. Abonamah has held key leadership roles, including President of the Abu Dhabi School of Management and CEO of the UAE Academy. He holds a Ph.D. in Computer Science from the Illinois Institute of Technology and has contributed extensively to AI research, focusing on AI integration in business processes, healthcare, smart cities, and cybersecurity. With over 10 patents in AI-driven systems and numerous scholarly publications, his work is widely cited in both academia and industry. Dr. Abonamah has secured over $1 million in research funding and has received several prestigious awards, including the Government of Abu Dhabi Recognition Award. His innovative projects have influenced AI and digital transformation strategies globally, and he has represented the UAE in international delegations. Prof. Abonamah’s leadership, combined with his groundbreaking research, positions him as a deserving candidate for the Best Researcher Award.

Professional Profile
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Summary

Dr. Abdullah A. Abonamah is a highly accomplished academic, technology strategist, and business leader with over four decades of experience in computing, artificial intelligence, and higher education leadership. He currently serves as Professor of Computing and AI at George Washington University’s Environmental and Energy Management Institute and is Chairman of the Board of AI Learning Solutions in the UAE. Dr. Abonamah has held numerous executive, academic, and advisory roles, including President and Provost of the Abu Dhabi School of Management, and CEO of the UAE Academy. His work bridges academia, innovation, and industry with a focus on AI adoption, data strategy, and digital transformation.

Educational Background

Dr. Abonamah holds a Ph.D. in Computer Science from the Illinois Institute of Technology, USA, and an M.S. in Computer Science and Engineering from Wright State University. He earned his B.S. in Computer Science from the University of Dayton and later obtained an Executive Management Certificate from Yale School of Management. His multidisciplinary academic foundation has empowered his leadership in both technical research and institutional development.

Professional Experience

Dr. Abonamah has served in numerous high-impact roles, including:

  • Professor of Computing at Abu Dhabi School of Management (2007–2024)

  • Professor of IT at Zayed University (2000–2007)

  • Director of the Institute for Technological Innovation (Dubai Internet City)

  • Chair, AI Management Institute at ADSM

  • Business leader and strategist in several startups and research institutes
    In his leadership positions, he led major organizational transformations, managed multimillion-dollar budgets, implemented ERP and AI systems, developed academic programs, and fostered public-private partnerships. He also served as Dean, Program Director, and Assistant Dean in various institutions, ensuring accreditation and global standards compliance.

Research Interests

Dr. Abonamah’s research spans artificial intelligence, machine learning, cybersecurity, fault-tolerant computing, and innovation ecosystems. His recent work focuses on the integration of AI into business processes, human-centered machine learning, and strategic data governance. He is also involved in applied AI projects in healthcare, smart cities, and education technology.

Author Metrics

Dr. Abonamah has authored and co-authored dozens of journal articles, book chapters, and conference papers, many of which are indexed in Scopus, IEEE, and Web of Science. He holds multiple patents and intellectual property certificates for AI-driven systems, ERP modules, academic tools, and mobile apps. His scholarship includes both foundational theory and practical implementations, making his work highly cited in both academic and industry domains.

Awards and Honors

Dr. Abdullah A. Abonamah has been the recipient of numerous prestigious awards and recognitions throughout his distinguished career. He was honored with the Government of Abu Dhabi Recognition Award in 2017 for his outstanding contributions to higher education and institutional development. Over the years, he has secured multiple competitive research grants totaling more than $1 million, including major funding for the development of AI and cybersecurity programs by the Federal Authority for Identity, Citizenship, Customs & Port Security and the Emirates Academy for Identity and Citizenship. His innovative projects have led to the creation of several intellectual property-certified digital systems, earning formal recognition from the UAE Ministry of Economy, with over 10 patented and certified software applications in AI, ERP systems, and academic tools. Dr. Abonamah was also awarded the US State Department MEPI Grant for the Emirati Women’s Organizational Leadership Program and received the Microsoft Instructional Lab Grant and other major institutional grants for research labs and technology initiatives. Recognized for his leadership, he has represented the UAE on international delegations, including a technological mission to Japan, and has consistently been acknowledged for his impactful work in promoting innovation, entrepreneurship, and digital transformation in education and governance.

Publication Top Notes

1. A Collaborative Adaptive Cybersecurity Algorithm for Cognitive Cities

  • Authors: A. Abonamah, F.N. Sibai

  • Published in: Journal of Computer Information Systems, 2025, pp. 1–16

  • Summary:
    This paper introduces a novel adaptive cybersecurity algorithm specifically designed for cognitive cities, which rely heavily on interconnected AI systems and IoT infrastructure. The algorithm leverages collaborative machine learning, enabling various smart subsystems to share threat intelligence and dynamically adjust defenses in real time. The model improves resilience, threat detection speed, and situational awareness, offering a scalable security solution for complex urban networks.

2. Managerial Insights for AI/ML Implementation: A Playbook for Successful Organizational Integration

  • Authors: A.A. Abonamah, N. Abdelhamid

  • Published in: Discover Artificial Intelligence, 2024, Vol. 4(1), Article 22

  • Summary:
    This publication acts as a strategic guide for executives and IT leaders aiming to deploy AI and machine learning within organizations. It outlines a structured playbook, highlighting critical success factors, common pitfalls, change management practices, and technology readiness considerations. The work is grounded in case studies and offers a framework for bridging technical solutions with organizational goals.

3. Discover Artificial Intelligence

  • Authors: A.A. Abonamah, N. Abdelhamid

  • Published in: Discover, 2024, Vol. 4, Article 22

  • Summary:
    This appears to be a companion piece or an editorialized version of the article above, with expanded commentary on AI governance, leadership roles, and ethical implementation frameworks. It emphasizes building institutional capability and fostering innovation culture for sustainable AI integration.

4. Wearable Sensor-Based Device for Predicting, Monitoring, and Controlling Epilepsy and Methods Thereof

  • Inventors: M.U. Tariq, A.A. Abonamah

  • Filing Number: US Patent App. 18/107,839

  • Filed in: 2023

  • Summary:
    This patent proposes a wearable biomedical device equipped with sensor arrays and AI algorithms for the real-time detection, prediction, and intervention of epileptic seizures. The system analyzes physiological data—such as ECG, EEG, and temperature signals—and uses machine learning to anticipate seizure events, offering alerts or therapeutic responses. It aims to enhance autonomous patient care and reduce medical emergencies, particularly in outpatient or home settings.

5. Artificial Intelligence Technologies and Platforms

  • Authors: M.U. Tariq, A. Abonamah, M. Poulin

  • Published in: Engineering Mathematics and Artificial Intelligence, 2023, pp. 211–226

  • Summary:
    This book chapter provides an in-depth analysis of leading AI platforms and ecosystems, such as TensorFlow, PyTorch, and Azure AI. It covers architecture, deployment strategies, and use cases across domains like healthcare, finance, and smart cities. The chapter emphasizes the selection criteria for AI tools, and how platform choices affect scalability, maintainability, and compliance in enterprise contexts.

Conclusion

Prof. Abdullah A. Abonamah is an outstanding and highly deserving candidate for the Best Researcher Award. His blend of academic scholarship, applied innovation, institutional leadership, and global impact positions him uniquely at the intersection of technology and societal advancement. His research addresses real-world challenges with AI-driven solutions, while his leadership roles have built enduring institutions and empowered future generations.

Given his contributions to AI research, higher education reform, cross-sectoral innovation, and IP development, Prof. Abonamah clearly meets and exceeds the criteria for this award. He is not only a prolific scholar but also a visionary leader and mentor, making him an ideal recipient of the Best Researcher Award.

Hani Al-Baadani | Poultry | Best Researcher Award

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Dr. Hani Al-Baadani | Poultry | Best Researcher Award

Researcher at King Saud Univeristy, Saudi Arabia

Dr. Hani Al-Baadani is a distinguished researcher in poultry production and animal health, currently serving at the Department of Animal Production, Ibb University, Yemen. He earned his Ph.D. in Poultry Production and Health from King Saud University, Saudi Arabia. Dr. Al-Baadani has authored over 50 scientific publications, with an additional 10 under review, and has contributed to more than 25 research projects in collaboration with governmental and private institutions. His research focuses on the effects of nutrition and feed additives on immunity, gut health, and performance in poultry. He has expertise in molecular biology, immunology, and microbiology, and has worked extensively with qPCR, ELISA, and microbial assays. Dr. Al-Baadani’s work has had a significant impact on poultry production in the MENA region, particularly in areas like sustainable feed ingredients and alternatives to antibiotic growth promoters. He is actively involved in mentoring postgraduate students and has received several awards for academic excellence. His contributions to research, training, and animal health solutions make him a highly deserving candidate for the Best Researcher Award.

Professional Profile

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Summary

Dr. Hani Hasan Mohammed Saeed Al-Baadani is a distinguished academic and researcher in the field of poultry and animal production and health. He holds a Ph.D. in Poultry Production from King Saud University, Saudi Arabia, and currently serves at the Department of Animal Production, College of Agriculture and Veterinary Medicine, Ibb University, Yemen. He has authored over 50 scientific publications in respected international journals and has an additional 10 under review. Dr. Al-Baadani has actively contributed to over 25 research projects in collaboration with governmental bodies and private institutions and is committed to training and mentoring postgraduate students in advanced laboratory techniques and research methodologies.

Educational Background

Dr. Al-Baadani earned his B.Sc. in Animal Production from Ibb University, Yemen, in 2009, where he graduated as the top student in his class. He went on to complete his M.Sc. in Poultry Production (specializing in physiology) at King Saud University, Saudi Arabia, and subsequently achieved his Ph.D. in Poultry Production and Health from the same institution. His academic background is firmly rooted in animal sciences, with a focus on production efficiency and animal well-being.

Professional Experience

Dr. Al-Baadani began his professional journey as a Demonstrator at Ibb University and later served as a poultry farm supervisor at Sayani Poultry Company in Yemen. He has conducted training for veterinarians in rural communities and participated in various scientific workshops and conferences across the Middle East and North Africa. He has also collaborated on numerous research initiatives linked to the Saudi Ministry of Environment, Water, and Agriculture, and several commercial entities. His teaching portfolio includes courses in poultry diseases, animal health, animal physiology, nutrition, and laboratory methods of analysis.

Research Interests

His core research interests include the impact of nutrition and feed additives on immunity, gut health, and productive performance in poultry and farm animals. He is particularly focused on the physiological and molecular mechanisms influenced by dietary interventions. His technical expertise includes genetic expression using qPCR, microbial activity assays, immunological techniques like ELISA, histopathology, blood chemistry, bioactive compound analysis, and chromatography, along with hands-on experience in animal and poultry sampling and care.

Author Metrics

Dr. Al-Baadani has published more than 50 research articles in reputable peer-reviewed journals indexed by Web of Science and ISI. He is an active reviewer for various international scientific journals and contributes regularly to advancing academic discourse in his field. His scholarly output is widely recognized for its quality and relevance to animal health and production science.

Awards and Honors

Dr. Al-Baadani has received several awards for academic excellence from Ibb University and regional authorities. His contributions to training, teaching, and research have been consistently acknowledged throughout his career. He has also participated in numerous high-level workshops and scientific gatherings and has been recognized for his leadership in projects promoting sustainable development and veterinary education.

Publication Top Notes

1. Evaluation of the Nutritional Value and Bioactive Compounds of Palm By-Products and Their Potential Use in the Animal Feed Industry: In Vitro Study

  • Authors: A.S. Alharthi, H.H. Al-Baadani, W. Soufan, A.A. Alghonaim, F.N. Alkoaik, et al.

  • Journal: Italian Journal of Animal Science, Volume 24, Issue 1, Pages 1199–1210

  • DOI: 10.1080/1828051X.2025.2495292

  • Summary: This study assessed the nutritional profiles and bioactive compounds of various palm by-products, evaluating their potential as sustainable feed ingredients through in vitro digestibility analyses.Taylor & Francis Online

2. Influence of Pulicaria jaubertii Addition as Medicinal Plant on Growth Indicators, Antibody Titers, Immune-Related Gene Expression, Microbiota Activity, and Intestinal Morphology of Broilers

  • Authors: H.H. Al-Baadani, A.S. Alharthi, R.A. Alhotan, A.A. Aboragah, A.A. Al-Abdullatif

  • Journal: Journal of Applied Animal Research, Volume 53, Issue 1, Article 2467130

  • DOI: 10.1080/09712119.2025.2467130

  • Summary: The research explored the effects of incorporating Pulicaria jaubertii into broiler diets, observing enhancements in growth performance, immune responses, gut microbiota balance, and intestinal structure.CoLab+2Taylor & Francis Online+2Taylor & Francis Online+2

3. Effect of Activated and Inactivated Saccharomyces cerevisiae as Alternative to Antibiotic Growth Promoter on the Performance and Health of Broilers Infected with Clostridium perfringens

  • Authors: H.H. Al-Baadani, A.S. Alharthi, N.I. Abbas, A.A. Qasem, A. Saleh, M.A. Ibraheem

  • Journal: Italian Journal of Animal Science, Volume 24, Issue 1, Pages 43–52

  • Access: ResearchGate Link

  • Summary: This study evaluated the efficacy of both live and heat-inactivated S. cerevisiae as substitutes for antibiotic growth promoters in broilers challenged with Clostridium perfringens, noting improvements in growth metrics and gut health.ResearchGate

4. Interaction Effect of Prebiotic Products as Feed Additives and Rearing Systems on Performance, Slaughter Yield, and Intestinal Health of Broiler Chickens

  • Authors: H.H. Al-Baadani, A.A. Aboragah, A.S. Alharthi, R.A. Alhotan

  • Journal: Journal of Applied Poultry Research, Volume 34, Issue 2, Article 100535

  • Access: ScienceDirect Link

  • Summary: The research investigated how different prebiotic supplements and rearing systems (cage vs. floor) interact to influence broiler performance, carcass yield, and intestinal health, highlighting the benefits of specific combinations.ScienceDirect

5. Effect of Adding Citrus Flavonoid (Bioflavex) to Diet on Growth, Feed Efficiency, Rumen Histomorphology, Carcass Traits, and Meat Quality of Lambs

  • Authors: S. Al-Ghamdi, H.H. Al-Baadani, A.S. Alharthi, G.M. Suliman, I.A. Alhidary

  • Journal: Frontiers in Veterinary Science, Volume 12, Article 1572911

  • DOI: 10.3389/fvets.2025.1572911

  • Summary: This study examined the impact of dietary Bioflavex, a citrus-derived flavonoid, on lamb growth, rumen development, and meat quality, finding significant improvements in feed efficiency and carcass characteristics.

Conclusion

Dr. Hani Al-Baadani clearly stands out as a leading figure in poultry production and animal health research in the MENA region. His exceptional publication record, diverse research capabilities, regional influence, and commitment to mentorship and capacity building strongly support his nomination for the Best Researcher Award.

While minor improvements could enhance global visibility, his contributions are already exemplary and worthy of recognition at the highest level. He is highly suitable for the award and serves as a role model in integrating academic excellence with real-world agricultural solutions.

Imen Massoudi | Semiconductor | Best Researcher Award

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Dr. Imen Massoudi | Semiconductor | Best Researcher Award

Associate Professor at Imam Abdulrahman bin Faisal university, Saudi Arabia

Professional Profile

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Summary

Dr. Imen Salah Massoudi is an Associate Professor of Physics at Imam Abdulrahman Bin Faisal University (IAU), Saudi Arabia, specializing in materials science and nanostructures. A prolific researcher, inventor, and academic leader, she has significantly advanced the fields of semiconductor physics, photocatalysis, and environmental nanotechnology. Her work bridges experimental nanomaterial synthesis with real-world applications in solar energy and water purification, and she actively mentors emerging scientists, contributes to global scientific forums, and holds several patents in semiconductor technologies.

Educational Details

Dr. Massoudi earned her Ph.D. in Physics from the University of Monastir, Tunisia, in 2013, with a focus on III-V semiconductors. She also holds a Master’s degree in Materials, Nanostructures, and Microelectronic Systems (2008) and a Bachelor’s in Fundamental Physics (2006) from the same university. In 2023, she completed a Professional Fellowship in University Teaching and Learning (PFUTL) from the University of Turku (Finland) in collaboration with IAU, highlighting her dedication to academic excellence and pedagogical innovation.

Professional Experience

With over 17 years in academia, Dr. Massoudi began her career as a lecturer at the University of Monastir and advanced through roles at the University of Gabes and University of Tunis - El Manar before joining IAU in 2014. She became Associate Professor in 2019. She serves as principal investigator at the Basic and Applied Scientific Research Center at IAU and contributes to multiple research initiatives in collaboration with institutions across Tunisia, Europe, and the Gulf. Beyond her academic roles, she is a committed scientific organizer and mentor in community and student research development programs.

Research Interests

Her research lies at the intersection of semiconductor physics, nanostructured materials, photocatalytic degradation, dielectric properties, and solar energy conversion. She investigates metal-doped oxides, ternary semiconductors, and nanocomposites for optoelectronic, antimicrobial, and environmental applications. Her pioneering contributions include enhanced ZnO-based materials for water treatment and transparent semiconducting oxides for photovoltaic devices. Her patents and experimental studies address key global challenges in sustainable energy and clean water.

Author Metrics

Dr. Massoudi has authored over 40 peer-reviewed publications in high-impact journals, including Ceramics International, Journal of Materials Science, Emergent Materials, and Physica Scripta, with many indexed in Q1 and Q2 quartiles. Her works consistently address the synthesis, characterization, and functional evaluation of advanced materials, and are widely cited for their originality and cross-disciplinary relevance. She is also an active reviewer, conference organizer, and contributor to scientific workshops and symposia.

Awards and Honors

Dr. Massoudi has received multiple accolades, including the Tunisian National Award in Fundamental Physics (2006), and Scientific Excellence Research Awards from IAU in 2018, 2019, 2021, 2023, and 2025. Under her mentorship, students have won honors for best posters and research projects. She is also a registered inventor with the U.S. Patent and Trademark Office, holding patents related to semiconductor materials for photocatalytic degradation and wastewater treatment. Her impactful scientific leadership has earned her roles in national science initiatives and international mentorship programs such as the UN Space4Women.

Publication Top Notes

1. Synthesis and Characterization of MoO3 for Photocatalytic Applications

  • Authors: AL Al-Alotaibi, N Altamimi, E Howsawi, KA Elsayed, I Massoudi, ...

  • Journal: Journal of Inorganic and Organometallic Polymers and Materials

  • Volume: 31

  • Pages: 2017–2029

  • Year: Not explicitly stated, but likely 2021 (based on citation count)

  • Citations: 53 (as of 2021)

2. Photoelectrochemical and Optical Properties Tuning of Graphene-ZnO Nanocomposites

  • Authors: M Salem, S Akir, I Massoudi, Y Litaiem, M Gaidi, K Khirouni

  • Journal: Journal of Alloys and Compounds

  • Volume: 767

  • Pages: 982–987

  • Year: 2018

  • Citations: 46

3. Photoelectrochemical and Opto-electronic Properties Tuning of ZnO Films: Effect of Cu Doping Content

  • Authors: M Salem, I Massoudi, S Akir, Y Litaiem, M Gaidi, K Khirouni

  • Journal: Journal of Alloys and Compounds

  • Volume: 722

  • Pages: 313–320

  • Year: 2017

  • Citations: 46

4. Structural, Optical and Photocatalytic Studies of Zn Doped MoO3 Nanobelts

  • Authors: AL Al-Otaibi, T Ghrib, M Alqahtani, MA Alharbi, R Hamdi, I Massoudi

  • Journal: Chemical Physics

  • Volume: 525

  • Article Number: 110410

  • Year: 2019

  • Citations: 42

5. Structural, Optical and Thermal Properties of the Ce Doped YAG Synthesized by Solid State Reaction Method

  • Authors: T Ghrib, AL Al-Otaibi, MA Almessiere, A Ashahri, I Masoudi

  • Journal: Thermochimica Acta

  • Volume: 654

  • Pages: 35–39

  • Year: 2017

  • Citations: 42

Conclusion

Dr. Imen Salah Massoudi is an outstanding candidate for the Best Researcher Award given her impressive publication record, innovative patented work, and leadership in semiconductor physics and nanotechnology with practical applications addressing sustainable energy and environmental issues. Her sustained excellence, mentoring, and recognition by national and international bodies underscore her suitability.

Enhancing international collaborations and industry partnerships could elevate her impact further, but her current achievements already represent a high standard of research excellence and academic leadership deserving of such an award.

Ahmad Hassanat | Machine Learning | Best Researcher Award

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Prof. Ahmad Hassanat | Machine Learning | Best Researcher Award

Professor at Mutah University, Jordan

Professional Profile

Scopus
Orcid
Google Scholar

Summary

Prof. Ahmad B. A. Hassanat is a Full Professor of Computer Science at Mutah University, Jordan, and a senior IEEE member. He is globally recognized for his extensive contributions to artificial intelligence, machine learning, biometrics, and image processing. With over two decades of academic and research experience, he has authored numerous impactful papers and books and is widely known for pioneering innovative techniques like the "Hassanat Distance" metric and deep learning-based biometric systems. He is also active in international collaborations, editorial work, and AI-driven healthcare research.

Educational Details

Prof. Hassanat earned his Ph.D. in Computer Science from the University of Buckingham, UK,, with a focus on automatic lip-reading. He holds an M.Sc. in Computer Science from Al al-Bayt University, Jordan, where he specialized in fast string matching algorithms. He completed his B.Sc. in Computer Science at Mutah University, Jordan. His academic foundation reflects a strong blend of theoretical depth and applied research skills in computing and AI.

Professional Experience

Prof. Hassanat has served in multiple academic roles across Jordan and Saudi Arabia, including as a Full Professor at Mutah University and the University of Tabuk. He was Head of the IT Department at Mutah University and a visiting researcher at the Sarajevo School of Science and Technology. Earlier in his career, he worked for the Jordanian Armed Forces as a programmer and systems analyst, where he developed over a dozen mission-critical ICT systems. He is also a founder or co-founder of academic programs, conferences, and novel biometric solutions.

Research Interests

His research spans machine learning, artificial intelligence, image processing, biometrics, pattern recognition, and evolutionary algorithms. He is known for practical innovations such as deep learning for veiled-face recognition, genetic algorithm optimization, voice-based Parkinson’s detection, and machine learning models for epidemiology, security, and finance. He also created the widely referenced Hassanat Distance, improving classifier performance in imbalanced data scenarios.

Author Metrics

Prof. Hassanat has published over 100 journal articles and conference papers, with an H-index of 33, i10-index of 56, and more than 4,000 citations. His work is featured in top journals such as IEEE Access, PLOS ONE, Sustainability, Applied Sciences, and Computers. His algorithmic contributions and models are highly cited in the fields of AI, healthcare informatics, and big data analytics.

Awards and Honors

Prof. Hassanat has been named among the world’s top 2% scientists by Stanford–Elsevier in 2021, 2022, and 2023. He has received the Best Scientist award at Mutah University for 2023 and 2024, and multiple competitive research grants from Jordan and Saudi Arabia. He was the recipient of Mutah University’s Distinguished Researcher Award (2018, 2019), and granted IEEE Senior Membership for his research excellence. His innovations, including terrorist identification from hand gestures and COVID-19 forecasting tools, have received global media attention.

Publication Top Notes

1. Deep learning computer vision system for estimating sheep age using teeth images

  • Authors: AB Hassanat, MA Al-Sarayreh, AS Tarawneh, MA Abbadi, et al.

  • Journal: Connection Science

  • Volume/Issue: 37 (1)

  • Article ID: 2506456

  • Year: 2025

  • Summary:
    This study presents a deep learning-based computer vision system designed to estimate the age of sheep by analyzing images of their teeth. The model likely leverages convolutional neural networks (CNNs) or similar architectures to accurately assess age-related dental features, offering a non-invasive and automated method for livestock age estimation that can assist farmers and veterinarians.

  • Citations: Not provided

  • Access: Details not provided

2. ICT: Iterative Clustering with Training: Preliminary Results

  • Authors: AB Hassanat, AS Tarawneh, AS Alhasanat, M Alghamdi, K Almohammadi, et al.

  • Conference: 2025 International Conference on New Trends in Computing Sciences (ICTCS)

  • Year: 2025

  • Summary:
    This paper introduces a novel method named Iterative Clustering with Training (ICT), presumably a machine learning or data clustering approach. Preliminary results demonstrate its effectiveness in improving clustering accuracy or training efficiency for datasets common in computing science. The approach likely combines clustering with supervised training iterations for better performance.

3. Decision tree-based learning and laboratory data mining: an efficient approach to amebiasis testing

  • Authors: E Al-Khlifeh, AS Tarawneh, K Almohammadi, M Alrashidi, R Hassanat, et al.

  • Journal: Parasites & Vectors

  • Volume/Issue: 18 (1)

  • Article Number: 33

  • Year: 2025

  • Summary:
    This research applies decision tree-based machine learning techniques to mine laboratory data for efficient and accurate diagnosis of amebiasis. The study demonstrates how data mining on clinical data combined with decision trees can improve testing accuracy and streamline diagnostic procedures in parasitology.

4. Non-Invasive Cancer Detection Using Blood Test and Predictive Modeling Approach

  • Authors: AS Tarawneh, AK Al Omari, EM Al-Khlifeh, FS Tarawneh, M Alghamdi, et al.

  • Book/Series: Advances and Applications in Bioinformatics and Chemistry

  • Pages: 159-178

  • Year: 2024

  • Summary:
    This paper proposes a non-invasive method for cancer detection by combining blood test results with predictive modeling approaches, likely using machine learning algorithms. The approach aims to provide an early, cost-effective screening tool for cancer by analyzing biomarkers and patterns in blood test data.

5. Extended spectrum beta-lactamase bacteria and multidrug resistance in Jordan are predicted using a new machine-learning system

  • Authors: EM Al-Khlifeh, IS Alkhazi, MA Alrowaily, M Alghamdi, M Alrashidi, et al.

  • Journal: Infection and Drug Resistance

  • Pages: 3225-3240

  • Year: 2024

  • Summary:
    This study develops and applies a machine learning system to predict the occurrence of extended spectrum beta-lactamase (ESBL) producing bacteria and multidrug resistance patterns in Jordan. The predictive model aids in understanding and managing antibiotic resistance, supporting healthcare decision-making and antimicrobial stewardship.

Conclusion

Prof. Ahmad Hassanat embodies the qualities of a world-class researcher—his work is innovative, deeply applied, and globally relevant. From introducing original metrics and models in AI to developing life-saving diagnostic systems and biometric security applications, his impact is both academic and practical.

His dedication to research excellence, mentorship, and cross-disciplinary innovation makes him highly deserving of the Best Researcher Award in Machine Learning.

Loren Babcock | Paleontology | Best Researcher Award

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Prof. Loren Babcock | Paleontology | Best Researcher Award

Professor at The Ohio State University, United States

Professional Profile

Scopus

Summary

Prof. Loren E. Babcock is a renowned geologist and paleontologist serving as a Professor in the School of Earth Sciences and Director of the Orton Geological Museum at The Ohio State University. With a career spanning over three decades, he is internationally recognized for his groundbreaking work on fossil-Lagerstätten, Cambrian paleobiology, and evolutionary events. His research has deeply influenced our understanding of life's early history and extinction events, while his leadership in academia and museum curation has fostered scientific engagement and education on a global scale.

Educational Details

Prof. Babcock earned his Ph.D. in Geology (with Honors) from the University of Kansas in 1990, focusing on paleontology. He holds an M.S. in Geology from Kent State University (1986), also specializing in paleontology, and a B.S. in Geology/Biology from the State University of New York at Fredonia (1983). His interdisciplinary academic foundation has provided the basis for a prolific research and teaching career.

Professional Experience

Prof. Babcock has served at The Ohio State University since 1990, advancing from Assistant Professor to full Professor in the School of Earth Sciences. He has directed the Orton Geological Museum since 2019, where he has pioneered outreach, exhibit innovation, and accessibility. His leadership roles include Chair of the International Subcommission on Cambrian Stratigraphy (2012–2020), and guest professorships at Lund University in Sweden and Cornell University. He has also significantly influenced academic curricula, museum education, and interdisciplinary program development.

Research Interests

Prof. Babcock’s research focuses on major evolutionary events, fossil preservation, and predator-prey dynamics in the history of life. His studies include the Cambrian explosion, the rise of jawed fishes, and the Quaternary megafaunal extinctions, with fieldwork across North America, China, Greenland, and Antarctica. He is a specialist in exceptional fossil preservation (Lagerstätten), stratigraphic correlation, and paleobiology of arthropods, particularly trilobites. His work provides vital insights into biodiversity patterns, extinction events, and the refinement of the geologic time scale.

Author Metrics

Prof. Babcock has published extensively in peer-reviewed journals, books, and edited volumes. His H-index is 34, indicating a high level of academic impact. His recent works have garnered substantial attention, with Altmetric indices over 100 and citations across scientific platforms and Wikipedia. His publications are frequently referenced in geoscience education, stratigraphy, and paleontology, solidifying his status as a leading voice in Earth history research.

Awards and Honors

Prof. Babcock has received numerous prestigious accolades, including the Best Researcher Award (2024) in Earth and Planetary Sciences, the Antarctica Service Medal (2007), the Charles Schuchert Award for Excellence in Paleontology (2001), and election as a Fellow of both the Paleontological Society and the Geological Society of America. His work has also been recognized with the Erasmus Haworth Alumni Award and leadership positions in international geological commissions and museum associations.

Publication Top Notes

1. Marine Arthropod Fossil-Lagerstätten

  • Author: Loren Edward Babcock

  • Journal: Journal of Paleontology

  • Year: 2025 (anticipated)

  • Summary:
    This paper discusses exceptional fossil sites known as Fossil-Lagerstätten that preserve marine arthropods in extraordinary detail. It likely reviews the paleobiology, taphonomy, and geological settings of these deposits, highlighting their importance in understanding arthropod evolution and Cambrian biodiversity.

  • Citations: 0

  • Access: Full text currently not available.

2. First complete specimens of Karslanus (Trilobita, Dameselloidea) from Longha Formation (Cambrian: Guzhangian), Yunnan, South China

  • Authors: Shanchi Peng, Loren Edward Babcock, Xianfeng Yang, Xuejian Zhu

  • Journal: Palaeoworld

  • Year: 2024

  • Summary:
    This study presents the first complete fossil specimens of the trilobite genus Karslanus from the Cambrian Longha Formation. It provides detailed morphological descriptions and discusses the taxonomy and evolutionary implications for the Dameselloidea group within the Cambrian marine ecosystem.

  • Citations: 0

  • Access: Full text currently not available.

3. A new dameselloid trilobite from the Fulu Biota, Longha Formation (Cambrian: Guzhangian), Yunnan, South China, and revised classification of dameselloids

  • Authors: Shanchi Peng, Loren Edward Babcock, Xianfeng Yang, Xuejian Zhu, Yu Liu

  • Journal: Palaeoworld

  • Year: 2024

  • Summary:
    The paper describes a new species of dameselloid trilobite discovered in the Fulu Biota within the Longha Formation. It includes taxonomic revisions of the dameselloid trilobites and offers insights into Cambrian biodiversity and phylogeny.

  • Citations: 0

  • Access: Full text currently not available.

4. Replacement names for two species of Orthacanthus Agassiz, 1843 (Chondrichthyes, Xenacanthiformes), and discussion of Giebelodus Whitley, 1940, replacement name for Chilodus Giebel, 1848 (Chondrichthyes, Xenacanthiformes), preoccupied by Chilodus Müller & Troschel, 1844 (Actinopterygii, Characiformes)

  • Author: Loren Edward Babcock

  • Journal: ZooKeys (Open Access)

  • Year: 2024

  • Summary:
    This nomenclatural study addresses taxonomic clarifications and replacement names for species in the extinct shark genus Orthacanthus and related genera. It resolves issues arising from preoccupied names in taxonomic classification to stabilize scientific naming conventions within Paleozoic chondrichthyans.

  • Citations: 1

  • Access: Open Access, full text disabled in preview mode.

5. Nomenclatural history of Megalonyx Jefferson, 1799 (Mammalia, Xenarthra, Pilosa, Megalonychidae)

  • Author: Loren Edward Babcock

  • Journal: ZooKeys (Open Access)

  • Year: 2024

  • Summary:
    This article traces the nomenclatural and taxonomic history of the giant ground sloth genus Megalonyx. It clarifies historic naming issues and establishes a framework for consistent use of the genus name in paleontological research.

  • Citations: 1

  • Access: Open Access, full text disabled in preview mode.

Conclusion 

Prof. Loren E. Babcock stands among the most accomplished paleontologists of his generation. His decades-long research, scholarly impact, international collaboration, and leadership in stratigraphy and museum science make him an ideal and deserving recipient of the Best Researcher Award in Paleontology.

Moustafa Magliyah | Medical Retina | Network Science Excellence Award

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Dr. Moustafa Magliyah | Medical Retina | Network Science Excellence Award

Moustafa Magliyah at King Khaled Eye Specialist Hospital, Saudi Arabia

Professional Profile:

Scopus
Orcid
Google Scholar

Summary:

Dr. Moustafa Sameer A. Magliyah is a Saudi ophthalmologist specializing in Medical Retina and Uveitis. With over a decade of clinical experience, he currently serves as a consultant at the King Khaled Eye Specialist Hospital in Riyadh. He is recognized for his clinical expertise, academic contributions, and dedication to advancing ophthalmic care in Saudi Arabia.

Educational Details

Dr. Magliyah earned his MBBS degree from Umm Al-Qura University in 2012, graduating with honors and ranking 5th in his class. He obtained the Saudi Board of Ophthalmology certification in 2018 and completed a Medical Retina and Uveitis Fellowship at King Khaled Eye Specialist Hospital between 2019 and 2020. He is also credentialed in Basic Life Support and licensed by the Saudi Commission for Health Specialties.

Professional Experience

Dr. Magliyah began his medical career at Prince Mohammed Medical City in AlJouf, where he served in the Ophthalmology Department for over a decade (2013–2024). In September 2024, he joined King Khaled Eye Specialist Hospital as a Consultant in Medical Retina and Uveitis within the Vitreoretinal Division. His clinical practice includes the diagnosis and management of complex retinal and uveitic conditions, and he is actively involved in patient care, multidisciplinary collaboration, and medical education.

Research Interests

While primarily a clinician, Dr. Magliyah has contributed to academic medicine through medical writing and interest in interdisciplinary care. He co-authored a chapter in the book Skills in Rheumatology and has explored themes such as specialty selection in medicine. His research interests align with ocular inflammation, retinal diseases, and the integration of ophthalmology with systemic health conditions such as rheumatologic disorders.

Author Metrics

Though his primary role is clinical, Dr. Magliyah has engaged in scholarly activity, including medical chapter writing and scientific article authorship. His involvement in collaborative academic work reflects his commitment to advancing knowledge in both ophthalmology and its allied disciplines. His scholarly potential is complemented by strong English language proficiency (IELTS score of 7) and international examination success (MCCEE, SLE).

Awards and Honors

Dr. Magliyah has received several recognitions, including a Certificate of Appreciation from Imam Abdulrahman bin Faisal University for his contribution to a rheumatology textbook and an award from the Zaidi Scientific Chair for Rheumatologic Diseases for his article on choosing medical specialties. He was also honored upon graduating with distinction from Umm Al-Qura University.

Publication Top Notes

1. Magliyah, M. S., Nageeb, M. R., Abdulmannan, D. M., Badr, H. M., Hemmeish, M. M., et al. (2015).

Assessment of knowledge regarding cataract among Saudi adult population in Makkah city, Saudi Arabia.
International Journal of Medical Science and Public Health, 4(5), 595–599.
Citations: 32
Summary:
This cross-sectional study evaluates public awareness of cataract risk factors, symptoms, and treatment options among adults in Makkah. The results highlighted a moderate level of awareness, with gaps in knowledge related to surgical management and disease progression, emphasizing the need for community education campaigns.

2. Magliyah, M., Alshamrani, A. A., Schatz, P., Taskintuna, I., Alzahrani, Y., et al. (2021).

Clinical spectrum, genetic associations, and management outcomes of Coats-like exudative retinal vasculopathy in autosomal recessive retinitis pigmentosa.
Ophthalmic Genetics, 42(2), 178–185.
https://doi.org/10.1080/13816810.2020.1848982
Citations: 18
Summary:
This paper explores a rare presentation of Coats-like exudative vasculopathy in patients with autosomal recessive retinitis pigmentosa (arRP). The study presents clinical findings, genetic correlations, and treatment outcomes, contributing to differential diagnosis and patient management strategies in inherited retinal disorders.

3. Almutairi, F., Almeshari, N., Ahmad, K., Magliyah, M. S., & Schatz, P. (2021).

Congenital stationary night blindness: An update and review of the disease spectrum in Saudi Arabia.
Acta Ophthalmologica, 99(6), 581–591.
https://doi.org/10.1111/aos.14651
Citations: 17
Summary:
This review summarizes clinical presentations and genetic profiles of congenital stationary night blindness (CSNB) in Saudi Arabia. It also outlines diagnostic tools and current management protocols, offering a comprehensive resource for clinicians treating CSNB in Middle Eastern populations.

4. Alali, N. M., Albazei, A., Alotaibi, H. M., Almohammadi, A. M., Alsirhani, E. K., Magliyah, M. S., et al. (2022).

Diabetic retinopathy and eye screening: Diabetic patients’ standpoint, their practice, and barriers—a cross-sectional study.
Journal of Clinical Medicine, 11(21), 6351.
https://doi.org/10.3390/jcm11216351
Citations: 14
Summary:
This study investigates diabetic patients' knowledge, attitudes, and practices regarding eye screening for diabetic retinopathy. Findings revealed that although patients recognize the importance of screening, barriers such as fear, lack of time, and poor access to care reduce screening compliance. The study calls for patient-centered interventions.

5. Magliyah, M. S., Badawi, A. H., Alshamrani, A. A., Malik, R., & Al-Dhibi, H. (2021).

The effect of perioperative uveitis control on the success of glaucoma surgery in uveitic glaucoma.
Clinical Ophthalmology, 15, 1465–1475.
https://doi.org/10.2147/OPTH.S299927
Citations: 12
Summary:
This clinical study evaluates how preoperative control of uveitis affects outcomes of glaucoma surgery in uveitic patients. The research demonstrates that effective inflammation management significantly improves surgical success and reduces postoperative complications, offering key clinical insights for ophthalmic surgeons.

Conclusion

Dr. Moustafa S. A. Magliyah is a strong and highly promising candidate for the Network Science Excellence Award. His collaborative, cross-disciplinary work in ophthalmology, coupled with his clinical depth and academic output, position him as an emerging leader in medical network science—particularly at the intersection of ocular and systemic health.

His ongoing work contributes to a better-connected medical research environment, with direct implications for public health, early detection, and integrated patient care systems.

Rastgo Hawrami | Detections | Excellence in Innovation

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Prof. Rastgo Hawrami | Detections | Excellence in Innovation

Rastgo Hawrami, Xtallized Intelligence, United States

Professional Profile

Scopus
ORCID

Summary

Dr. Rastgo Hawrami is a distinguished physicist specializing in materials science and radiation detection. With a robust academic foundation and over two decades of hands-on experience in advanced scintillator and semiconductor crystal growth, he has contributed significantly to national security, medical imaging, and nuclear detection technologies. His career bridges academia and industry, with achievements marked by innovation, scientific rigor, and leadership in crystal engineering.

Educational Details

Dr. Hawrami began his academic journey with a B.Sc. in Physics from Salahaddin University, Kurdistan Region, Iraq (1994–1997). He continued his studies in the United States, earning an M.A. in Physics from the Fisk-Vanderbilt program (2002–2004). His academic excellence culminated in a Ph.D. in Physics (Materials Science) from Alabama A&M University (2005–2008), where he also served as a teaching assistant and research scholar.

Professional Experience

Currently a Research Professor at Fisk University (2017–present), Dr. Hawrami has developed cutting-edge laboratories and secured multiple federal research grants. Simultaneously, as Director of R&D at Xtallized Intelligence, Inc., he leads SBIR-funded projects to develop advanced scintillators. Previously, he served as Senior Scientist and Program Manager at RMD, where he pioneered the growth of high-performance scintillator crystals such as SrI₂:Eu and CLLBC. His career also includes roles at Brookhaven National Laboratory, where he innovated CZT detector fabrication techniques, and multiple roles at Fisk and Vanderbilt Universities focused on crystal growth and materials characterization.

Research Interests

Dr. Hawrami’s research is centered on the synthesis and optimization of inorganic scintillator materials for radiation detection. His work explores dual-mode scintillators for gamma-neutron detection, ceramic scintillator materials, semiconductor growth, and radiation detector fabrication. He has extensively studied elpasolite crystals, zone refining, and novel compounds doped with Eu, Ce, Yb, and other rare earth elements.

Author Metrics

Rastgo Hawrami has contributed extensively to the field of advanced scintillator materials, focusing on the growth and characterization of thallium-based halide crystals and related compounds. His work spans journal articles and preprints from 2021 through 2023, with key publications receiving citations indicative of their impact in radiation detection and imaging technology. These publications demonstrate consistent advancements in crystal growth techniques, scintillation performance improvements, and novel materials development, establishing him as a significant contributor to both academic research and practical applications in homeland security and medical imaging.

Awards and Honors

His pioneering work has earned him numerous accolades. These include the prestigious R&D 100 Award (2010, 2019) for high-performance scintillator development, and the Tibbetts Award (2012) from the U.S. Small Business Administration. He was also an R&D 100 Award Finalist (2016) and won first place at the Alabama Academy of Science (2008). His consistent contributions were recognized by Alabama A&M and NASA through several departmental and tuition awards between 2002 and 2008.

Publications Top Notes

1. Characterization of large diameter dual-mode cerium-doped Tl₂LiYCl₆ advanced scintillator

Journal: Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Year: 2023
DOI: 10.1016/j.nima.2023.168626
ISSN: 0168-9002
Contributors: Hawrami, R.; Ariesanti, E.; Burger, A.; Neely, E.; Glodo, J.; Pandian, L.; Ji, C.; Stepanoff, S.; Wolfe, D.E.; Liang, F.

Summary:
This study investigates the growth and scintillation properties of large diameter cerium-doped Tl₂LiYCl₆ crystals. The dual-mode scintillator offers advanced detection capabilities with improved energy resolution and light yield. The research highlights its potential for radiation detection and imaging applications.

2. Large Diameter Bulk Crystal Growth and Scintillation Characterization of Thallium-Based Ternary Halide Crystals for Detection and Imaging

Source: arXiv
Year: 2023
DOI: 10.48550/arXiv.2309.07093
ISSN: 2331-8422
Contributor: Hawrami, R.

Summary:
This preprint details the bulk crystal growth of thallium-based ternary halides with a focus on their scintillation properties. The work emphasizes the scalable production of large-diameter crystals suited for detection and imaging, showing promising performance in terms of light yield and stability.

3. Growth and Evaluation of Improved CsI:Tl and NaI:Tl Scintillators

Journal: Crystals
Year: 2022
DOI: 10.3390/cryst12111517
ISSN: 2073-4352
Contributors: Hawrami, R.; Ariesanti, E.; Farsoni, A.; Szydel, D.; Sabet, H.

Summary:
This paper focuses on the growth processes and evaluation of CsI:Tl and NaI:Tl scintillators with improved crystal quality. Enhanced light output and energy resolution are reported, which are critical parameters for efficient radiation detection systems.

4. Latest growth of large diameter Tl-based elpasolite scintillation crystals

Journal: Optical Materials
Year: 2022 (June)
DOI: 10.1016/j.optmat.2022.112324
ISSN: 0925-3467
Contributors: Hawrami, R.; Ariesanti, E.; Burger, A.; Sellin, P.

Summary:
This work presents advances in the growth techniques of large diameter thallium-based elpasolite scintillation crystals. The improvements in crystal size and uniformity lead to enhanced scintillation properties, suitable for applications in homeland security and medical imaging.

5. Advanced inorganic halide ceramic scintillators

Source: arXiv
Year: 2021
ISSN: 2331-8422
Contributors: Hawrami, R.; Ariesanti, E.; Parkhe, H.; Burger, A.

Summary:
This article discusses the development of advanced inorganic halide ceramic scintillators. The research explores material composition and fabrication methods aimed at achieving high performance in gamma-ray detection with robust ceramic scintillators.

   Conclusion

Dr. Rastgo Hawrami’s career exemplifies a seamless integration of research, innovation, and education in the field of material science. His contributions to radiation detection through crystal growth and scintillator development have advanced national defense, health, and environmental monitoring. As an award-winning scientist, experienced educator, and research leader, he remains committed to mentoring the next generation and pushing the boundaries of applied physics. His legacy is reflected in high-impact publications, prestigious awards, and technologies in use today.

Natalia Luxardo | social work | Outstanding Contribution Award

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Dr. Natalia Luxardo | social work | Outstanding Contribution Award

Investigador Principal at CONICET, Argentina

Professional Profile:

Scopus

Google Scholar

Summary:

Dr. Natalia Luxardo is a prominent Argentine social scientist, educator, and researcher specializing in the intersections of health, social inequality, and care practices. As Principal Investigator at CONICET and a professor at the University of Buenos Aires, she has significantly contributed to the fields of medical anthropology, social work, and palliative care. With a multidisciplinary and transnational academic background, her work bridges local realities with global health and social policy debates.

Educational Details

Dr. Luxardo earned her undergraduate degree in Social Work from the University of Buenos Aires in 1996. She holds a Master’s degree in Social Sciences with a focus on Health from FLACSO-CEDES, where she graduated with honors in 2005. Her first doctorate, completed at the University of Buenos Aires in 2007, examined non-formal therapeutic practices in cancer care. She further completed a second doctorate in Culture and Society at the Universidad Nacional de las Artes in 2011, focusing on home-based end-of-life care. Across these programs, she consistently earned top academic distinctions, including Suma Cum Laude.

Professional Experience

Dr. Luxardo is a Principal Researcher at CONICET, based at the Instituto de Investigaciones Gino Germani (UBA), where she has been active since 2007. She also holds faculty appointments at the University of Buenos Aires as an Adjunct Professor in the Department of Social Work. She teaches courses on research methodology, final thesis supervision, and health-related topics. Internationally, she has lectured in Germany, Spain, and the UK, and participated in global research networks focused on health, care work, and social equity. She has also collaborated with organizations such as FEMEBA and the Universidad Nacional de Jujuy to enhance training for health and social professionals.

Research Interests

Dr. Luxardo’s research focuses on social inequalities in health, palliative and home-based care, medical pluralism, and the intersection of health systems with cultural practices. She emphasizes a gender-sensitive and epistemologically plural approach to care and disease, particularly cancer, end-of-life experiences, and informal caregiving. Her current projects address inequities in chronic disease prevention, the feminization of care labor, and collaborative health interventions in underserved populations.

Author Metrics

Dr. Luxardo has authored numerous peer-reviewed publications in Spanish and international journals, contributing extensively to the fields of health sociology, medical anthropology, and public health. Her research is indexed in Scopus, Google Scholar, and ORCID (ID: 0000-0002-9304-0110). She is recognized for her methodological rigor, qualitative expertise, and interdisciplinary collaborations, particularly in Latin America and Europe.

Awards and Honors

Dr. Luxardo has received widespread recognition for her work, including the TASA Best Paper Award for Health Sociology (2019), an Honor Diploma from the Argentine Senate (2011), and multiple first-place research awards from national institutions like the Academia Nacional de Medicina. Her book "Morir en casa" was declared of social interest by the Buenos Aires Legislature, reflecting its societal impact. Internationally, she received the “Award of Excellence” from Family Service of South Lake County (USA) for her work with Latin American immigrants. These honors underscore her scholarly impact and public engagement on critical issues of health, care, and social justice.

Publication Top Notes

1. Keeping Unsafe at Home: Disputes and Social Practices Regarding Risks During a Geological Disaster in a Vulnerable Fishing Community in Argentina

Authors: N. Luxardo, L. M. Passerino, M. Bordes, I. Spessotti, F. Sassetti
Journal: Health, Risk & Society (2025), 1–22
Summary:
This article examines how a marginalized fishing community in Argentina perceives and navigates risk during a geological disaster (e.g., flooding or erosion). Using collaborative ethnography, the study uncovers the conflict between institutional risk narratives and community-based practices. The residents’ decision to remain in hazardous homes is shown to stem not from ignorance but from structural vulnerabilities and culturally embedded notions of care and survival. The study critiques one-size-fits-all risk policies and argues for more inclusive, community-informed disaster responses.

2. Collaborative Ethnography and a Call for Pluralism and Dialogic Knowledge in Health Equity Debates and Global Cancer Research Culture

Author: N. Luxardo
Journal: Anthropology & Medicine (2024), 1–18
Summary:
In this theoretical and methodological reflection, Luxardo advocates for dialogic, pluralistic approaches in global health equity research, especially in cancer care. Drawing on fieldwork experiences, the paper critiques dominant biomedical paradigms and proposes collaborative ethnography as a means to bridge epistemological gaps between Global North and South. It highlights the value of co-producing knowledge with marginalized communities and calls for restructuring the research process to foster equity, recognition, and contextual relevance in global oncology.

3. Tecnologías para la Inclusión Social: Implementación de un Sistema Informático para la Gestión de Programas de Prevención de Cáncer en el Territorio

Authors: F. Sassetti, E. Ridel, M. Iturain, J. Billordo, I. Spessotti, L. Alva, L. Passerino, N. Luxardo
Publisher: Asociación Latino-Iberoamericana de Gestión Tecnológica y de la Innovación (2023)
Summary:
This project report and applied study documents the development and implementation of a digital health system aimed at improving cancer prevention programs in underserved areas. The system allows for efficient, territory-sensitive data collection and follow-up, enhancing coordination between public health agents and community-based care networks. Dr. Luxardo contributed the socio-anthropological analysis of how such technologies can support equity if developed through participatory, inclusive frameworks.

4. Volcano: Between Structural Vulnerabilities and Collective Defence of Honor in Communities Surrounding an Open Dumpsite

Authors: N. Luxardo, F. Sassetti, L. M. Passerino, E. Wright, J. Billordo, M. Kolvenbach, et al.
Journal: Qualitative Health Research, 32(11), 1701–1720 (2022)
DOI: https://doi.org/10.1177/10497323221088183
Summary:
This ethnographic study investigates the sociocultural dynamics around a toxic dumpsite in Argentina, where communities live in extreme precarity. The paper explores how residents navigate health risks, environmental degradation, and social stigma. Central to the analysis is the concept of honor as a form of resistance and identity preservation amid structural neglect. It provides a powerful critique of environmental injustice and contributes to debates on health, place, and dignity in global public health.

5. “It Just Keeps Hurting”: Continuums of Violence and Their Impact on Cervical Cancer Mortality in Argentina

Authors: N. Luxardo, L. Bennett
Publication: Cancer and the Politics of Care: Inequalities and Interventions in Global Perspective (2022)
Summary:
This book chapter explores how various forms of violence—structural, institutional, and intimate—intersect to affect cervical cancer mortality among women in Argentina. Through a feminist and ethnographic lens, the authors analyze barriers to timely diagnosis and treatment, revealing how systemic neglect, stigma, and gendered violence contribute to preventable deaths. The chapter calls for integrating violence-awareness and social justice into cancer care policy and practice.

Conclusion

Dr. Natalia Luxardo exemplifies the mission of the Outstanding Contribution Award through her scholarly rigor, ethical research engagement, and unwavering commitment to equity in health and care. Her transdisciplinary and feminist approach to social work and medical anthropology has had a measurable impact on research, education, and public health across Latin America.

She stands out not only for her academic excellence and publication record, but for transforming the lives of vulnerable populations through both research and advocacy. Her leadership in bridging science, society, and care represents the very best of social work as a field of practice and scholarship.