Dr. Khaled Essawi | Epidemiology of Diseases | Research Excellence Award
Jazan University | Saudi Arabia
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DR. ZIED GUITOU began his academic journey with a Baccalauréat in Mathematics (2000), paving the way for a focused career in electronics and microelectronics. He earned his Maîtrise in Electronics and Instrumentation (2004) from ESSTT, followed by a Master’s degree in Microelectronic Devices and Systems (2006) from FSM. His academic excellence culminated in a Ph.D. in Electronics (2012) from FST, with a thesis focused on the study and implementation of random and pseudo-random key generators for cryptographic systems. His education, deeply rooted in both theory and practical application, set a strong foundation for his technical and pedagogical contributions.
Dr. Guitou holds the title of Maître Assistant in Electronics at ISSAT Mahdia, Tunisia, where he has been actively teaching since 2019. His professional experience also includes a notable tenure as a professional and technical trainer at the Faculty of Technology in Riyadh, Saudi Arabia (2013–2019). Over the years, he has taught a wide array of subjects across undergraduate and postgraduate levels, ranging from analog and digital electronics to cryptography and VHDL systems, demonstrating a versatile teaching profile and strong engagement in academic development.
Dr. Guitou’s primary research interests revolve around cryptographic systems, random key generation, VHDL implementations, and emerging areas such as artificial intelligence, blockchain, and machine learning. His doctoral and master’s research tackled core challenges in cryptographic security, while his more recent work delves into neural cryptosystems, quantum communication algorithms (e.g., BB84), and blockchain-based hashing. His supervision of numerous master’s theses and engineering projects shows a deep commitment to mentoring innovation in applied electronics and AI systems.
Beyond teaching, Dr. Guitou has left a mark through his organizational and administrative roles. He is the Director of the Department of ICT at ISSAT Mahdia, a member of the scientific council, and actively involved in quality assurance and entrepreneurial programs. He has helped organize international conferences including CCSITA 2024, CCITT 2025, and AIEB 2021, all of which serve to bring international visibility to Tunisia’s academic and research communities. His participation in pedagogical training programs—such as AI for higher education and machine learning workshops—highlights his commitment to continuous learning and interdisciplinary collaboration.
Dr. Guitou has supervised both research and professional master’s theses on cutting-edge topics including wireless sensor network security, autonomous navigation systems, neural cryptosystems, and AI-powered medical applications. These projects, often hosted in collaboration with notable Tunisian institutions and laboratories, contribute to Tunisia’s growing body of applied research in AI and electronics. His guidance has resulted in multiple successful thesis defenses with mentions of ‘Très Bien’ and ‘Bien’, affirming the academic impact of his mentorship.
Dr. Guitou’s legacy lies in his unwavering dedication to educational excellence, research supervision, and institutional development. His ongoing work in artificial intelligence integration, quantum security systems, and intelligent electronics signals a bright future, both for his students and the broader academic ecosystem. As he continues to take on leadership roles and mentor future innovators, his contributions will shape the evolution of engineering education and smart technologies in North Africa.
DR. ZIED GUITOU is a distinguished academician, researcher, and mentor whose contributions span cryptographic innovation, AI in electronics, and academic leadership. With his multidimensional expertise and a clear vision for technological advancement, he continues to be a pillar in Tunisia’s academic and technological spheres, driving forward innovation, education, and collaborative research excellence.
Authors: Zied Guitouni, Noeman Ammar, Mohsen Machhout
Journal: International Journal of Information Security
Year: 2025
Authors: Zied Guitouni, Sirine Maize, Mounir Zrigui, Mohsen Machhout
Journal: Physica Scripta
Year: 2024
Authors: Zied Guitouni, Noeman Ammar, Mohsen Machhout
Journal: Engineering Research Express Journal
Year: 2024
Authors: Zied Guitouni, Eya Ben Brahim, Mounir Zrigui, Mohsen Machhout
Journal: International Journal of Emerging Trends in Engineering Research
Year: 2024
Authors: Zied Guitouni, Sirine Maize, Mounir Zrigui, Mohsen Machhout
Journal: International Journal of Advanced Trends in Computer Science and Engineering
Year: 2024
XIE ZAIYANG is an Associate Professor at the School of Management, Zhejiang University of Technology. She holds a Doctorate in Management and has a strong academic background with degrees from Nankai University and Jinan University. Her academic pursuits have earned her recognition in the field, including being a recipient of various prestigious awards. She is also a graduate student supervisor and actively contributes to the academic community with her extensive research in corporate strategy, internationalization, and digital innovation management.
XIE ZAIYANG completed her Doctorate in Management from Nankai University in December 2020, after which she also pursued postdoctoral studies. Her Ph.D. research was conducted in collaboration with Jinan University (a national public scholarship). She began her academic career at Zhejiang University of Technology in December 2020, where she serves as a faculty member in the Department of Business Administration and as the class advisor for the 2102 Business Administration class.
Currently, XIE ZAIYANG is an Associate Professor in the Department of Business Administration, where she teaches, researches, and leads several significant academic projects. She is a member of the Academy of Management (AOM), the Academy of International Business (AIB), and the International Association for Chinese Management Research (IACMR). XIE ZAIYANG has also contributed as a reviewer for numerous academic journals, ensuring the quality of publications in her field.
Her main research focuses include corporate strategy, internationalization, digital innovation management, and the governance of multinational corporations. She has secured several national and provincial-level research grants, leading projects on globalization, de-globalization, and corporate innovation, among others. XIE ZAIYANG’s studies have had a considerable influence on how businesses understand strategic decision-making and innovation in an increasingly interconnected and rapidly changing global environment.
XIE ZAIYANG has published more than 30 papers in renowned journals such as the Journal of World Business, Technological Forecasting and Social Change, and Journal of Business Research. Her research has made a significant impact in the academic community, receiving numerous citations and awards. Notably, her work on the dynamics of multinational enterprises and innovation strategies has contributed to the advancement of corporate governance theory and practice.
XIE ZAIYANG’s academic work has been widely cited and published in both international and Chinese journals. Some of her notable works include:
Returnee managers as an asset for emerging market multinational enterprises (Journal of World Business, 2022)
Big data and emerging market firms’ innovation in an open economy (Technological Forecasting and Social Change, 2021)
US-China Decoupling and the Chinese Firms’ Real Option to Defer R&D Investment (Journal of World Business, 2025)
In addition to her journal articles, she has authored several books and monographs on corporate governance and international business strategy.
XIE ZAIYANG has been recognized with several prestigious awards, including the “National Top 100 Cases” award and the Zhejiang Provincial Outstanding Research Case award. She has also received numerous accolades for her teaching and research efforts, such as national and provincial-level research grants and awards for excellence in case studies. Her research has been selected for inclusion in the “China Management Case Sharing Center (CMCC)” and other important academic repositories.
XIE ZAIYANG’s contributions to the academic field have laid the groundwork for future research on multinational enterprises, innovation strategies, and the evolution of corporate governance in China and beyond. Her ongoing work continues to influence the development of strategic management theories, particularly in the context of globalization and digital transformation. As a mentor and researcher, she aims to continue advancing knowledge in the intersection of global business strategy and innovation management.
XIE ZAIYANG is a dedicated scholar and educator who has made significant contributions to the field of management studies. Her work on strategic management, innovation, and corporate governance provides valuable insights for both scholars and practitioners. As she continues to lead impactful research, her legacy will shape the future of international business strategy and management.
Yameng He is a dedicated Ph.D. candidate in Civil Engineering at China University of Mining and Technology. Her research focuses on the geophysical evolution of deep rock masses, the damage mechanisms of concrete structures, and CO2 geological storage. With several published papers in renowned journals and multiple patents in the civil engineering sector, she is a promising young researcher in her field.
Yameng He earned her Ph.D. in Civil Engineering from China University of Mining and Technology (2020–Present), following her M.S. in Civil Engineering from Shijiazhuang Tiedao University (2017–2020). She completed her B.S. in Civil Engineering at the North China Institute of Aerospace Engineering in 2017.
Currently, as a Ph.D. student at China University of Mining and Technology, Yameng is engaged in cutting-edge research related to geophysical testing in deep rock masses, CO2 geological storage, and the durability of cement materials. Her work aims to improve infrastructure safety and sustainability in challenging environments.
Yameng He has co-authored several influential papers, such as the one on the evolution of resistivity and permeability of wellbore cement in geological CO2 storage conditions, published in Construction and Building Materials. She has also contributed to research on concrete damage processes under uniaxial compression and participated in the Annual Meeting of Chinese Geoscience Union (CGU-2021).
Yameng’s technical expertise includes the development of multi-field geophysical parameter testing devices, numerical simulations for concrete damage analysis, ultrasonic testing of materials under stress, and deep learning applications for structural health monitoring. These skills enable her to approach complex engineering problems from a highly analytical perspective.
Although primarily focused on her research, Yameng has also participated in teaching activities at China University of Mining and Technology, sharing her knowledge and helping to mentor the next generation of civil engineering professionals.
Her research spans a range of topics including the geophysical evolution of deep rock masses under hydrothermal conditions, ultrasonic damage detection in concrete, and the impact of CO2 on cement materials in geological storage. Yameng is particularly focused on advancing technologies in multi-physics coupling and structural health monitoring.
Dr. Chunyu Liu is a Lecturer at North China Electric Power University, specializing in machine learning, neural decoding, and visual attention. Her research delves into the integration of AI and brain science, focusing on neural signals like MEG and fMRI to gain insights into cognitive functions and develop new AI theories. Her work bridges the gap between artificial intelligence and neuroscience, contributing to both fields in groundbreaking ways. 🌟
Dr. Liu’s academic journey began with a B.S. degree in Mathematics and Applied Mathematics from Henan Normal University. She went on to earn an M.S. degree in Applied Mathematics from Northwest A&F University, and a Ph.D. in Computer Application Technology from Beijing Normal University. These formative years built the foundation for her expertise in the intersection of computer science and cognitive science. 🔬
After completing postdoctoral training at Peking University, Dr. Liu embarked on her career as a lecturer at North China Electric Power University. In this role, she has led multiple research projects, mentored students, and contributed to the advancement of neural decoding and cognitive computing. Her professional endeavors focus on integrating theoretical AI methods with practical neuroscience. 🚀
Dr. Liu’s research is primarily concerned with the neural mechanisms underlying object recognition, emotion, and visual attention. By combining AI theories with psychological experimental paradigms, she works with multi-modal neural signals like MEG and fMRI to better understand cognitive functions. Her work provides critical insights into how the brain processes information and leads to the development of advanced AI systems. 🤖🧠
Dr. Liu has made substantial contributions to the fields of cognitive computing and neural decoding. Her innovative research models decode stimuli and cognitive states from brain activity, advancing our understanding of the human brain. Her influence extends globally, as her work is not only used to better understand cognition but also informs the development of intelligent AI systems. 🌐✨
With over 10 academic papers, including six SCI-indexed publications as the first author, Dr. Liu’s work has earned wide recognition. Noteworthy papers include “S-TBN: A New Neural Decoding Model to Identify Stimulus Categories from Brain Activity Patterns” in IEEE Transactions on Neural Systems and Rehabilitation Engineering and “Decoding Six Basic Emotions from Brain Functional Connectivity Patterns” in Science China Life Sciences. Her research continues to shape future studies in the fields of cognitive computing and AI. 📝🏆
Dr. Liu has received numerous prestigious awards and recognition for her pioneering work in cognitive computing and brain science. These accolades reflect the high regard for her contributions to neural decoding and her influence on both the neuroscience and AI communities. 🎖️
Dr. Liu’s future research promises to continue pushing the boundaries of both cognitive science and artificial intelligence. By developing more sophisticated neural decoding models, she aims to further our understanding of the brain’s cognitive processes while advancing the development of AI systems that can more effectively interact with and understand human cognition. Her legacy will be one of innovation, discovery, and progress. 🌟
As Dr. Liu continues her research, she is poised to make lasting contributions to both artificial intelligence and neuroscience. Her work will further bridge the gap between these fields, and her innovations will have a profound impact on how we understand human cognition and develop intelligent systems. Her legacy is one of groundbreaking interdisciplinary research. 🔮
Vladimir G. Chigrinov is a distinguished scientist and professor who has significantly contributed to the fields of Liquid Crystal Displays (LCDs) and Solid-State Physics. His groundbreaking research and leadership have made a lasting impact on the development of advanced display technologies and electro-optical systems. Chigrinov’s career spans several decades and has seen him hold prominent roles in academia and research, influencing both the academic and industrial worlds globally.
Chigrinov’s academic journey began with an M.S. in Applied Mathematics from the Moscow Technical University of Electronics and Mathematics in 1973. He continued his studies at the Shubnikov Institute of Crystallography, USSR Academy of Sciences, where he completed his Ph.D. in Solid State Physics in 1978. His Ph.D. thesis, “Investigation of Instabilities in Nematic Liquid Crystals,” laid the foundation for his future work in Liquid Crystal technology. His subsequent Doctoral and Professor Degrees further cemented his status as an expert in the field.
Throughout his career, Chigrinov has held key positions in research institutions, including the Organic Intermediates & Dyes Institute (NIOPIK) and the Shubnikov Institute of Crystallography. His leadership roles at these institutions have shaped the research landscape in Liquid Crystal Display (LCD) technology, electro-optical effects, and materials science. He later joined the Hong Kong University of Science and Technology (HKUST), where he contributed to academic research and mentoring students. His vast experience has also led him to serve as a consultant for several international research projects.
Chigrinov’s research has focused on advancing Liquid Crystal (LC) technologies, particularly in display applications. His work has involved optimizing LC materials, improving electro-optical behaviors, and creating new display devices like low-power LCDs and ferroelectric liquid crystals (FLCs). His research has pushed the boundaries of display technologies, making them more efficient and versatile. He has also made significant strides in the fields of photo-aligning and photo-patterning, key areas for future development in display industries.
Chigrinov’s influence extends far beyond the laboratory. He has actively contributed to the global scientific community by collaborating with renowned companies like Samsung, F. Hoffmann La Roche, and Merck. His expertise is sought after for various high-profile advisory and editorial roles in international conferences and journals. He has also been instrumental in shaping the future of display technologies through his advisory positions with organizations like the International Liquid Crystal Society and the Society for Information Displays (SID).
Chigrinov’s work is widely recognized in academic circles, with numerous publications and citations to his name. His research on liquid crystal alignment and electro-optical effects has become foundational to modern display technologies. His paper, co-authored with other experts, on surface-induced parallel alignment of liquid crystals, remains one of the most cited and influential papers in the field of applied physics.
Chigrinov’s exceptional contributions to the field of liquid crystals and display technology have been recognized with numerous honors. He has received the prestigious Slottow-Owaki Prize for his educational contributions and was awarded the Research Excellence Award at HKUST in 2012. He is a Senior Member of the Society for Information Display (SID) and has also been honored with Gold Medals at the Malaysia Technology Expo. His recognition extends globally, and he continues to receive awards that highlight his impact on the scientific community.
Chigrinov’s legacy in the field of liquid crystals is undeniable. His pioneering work has laid the groundwork for future advancements in display technologies and photonics. As an educator and mentor, he has inspired a new generation of scientists and engineers who will carry forward his legacy of research excellence. His ongoing involvement in international research projects ensures that his contributions will continue to shape the future of LCD and related technologies.
Vladimir G. Chigrinov is a distinguished figure in the scientific world, known for his innovative contributions to liquid crystal technologies and display systems. His career is a testament to his dedication to advancing scientific knowledge and mentoring future generations of researchers. His work will undoubtedly continue to influence the fields of display technology and photonics for years to come.
Authors: Hebah Shalhoob
Journal: Sustainability
Year: 2025
DOI: 10.3390/su17041582
Authors: Hebah Shalhoob
Journal: Journal of Infrastructure, Policy, and Development
Year: 2025
DOI: 10.24294/jipd11239
Authors: Hebah Shalhoob
Journal: SSRN
Year: 2024
DOI: 10.2139/ssrn.4996549
Authors: Shalhoob, H.; Halawani, B.; Alharbi, M.; Babiker, I.
Journal: Revista de Gestao Social e Ambiental
Year: 2024
Authors: Hebah Shalhoob
Journal: Problems and Perspectives in Management
Year: 2024
DOI: 10.21511/ppm.22(4).2024.11
Authors: Hebah Shalhoob
Journal: Journal of Governance and Regulation
Year: 2023
Amjad Abu-Elsamen, PhD, is a distinguished academic and professional in the fields of marketing, predictive modeling, and data mining, based in Abu Dhabi, UAE. With a career that spans over two decades, Dr. Abu-Elsamen has made significant contributions to academia and consultancy, blending his expertise in business strategy, data analytics, and marketing. His passion for continuous learning and his unwavering dedication to professional growth have earned him recognition and numerous accolades in both his academic and practical endeavors.
Dr. Abu-Elsamen’s academic journey began with his undergraduate studies in Business Administration at the University of Jordan, where he earned his Bachelor’s degree in 2000. He went on to pursue his Master of Business Administration (MBA) at the University of Jordan, completing it in 2003. Following this, he advanced his studies by earning a PhD in Business Administration from Oklahoma State University in 2009. During his academic pursuits, he developed a keen interest in predictive modeling, data mining, and their applications in marketing strategies.
Dr. Abu-Elsamen’s professional career reflects his commitment to education, research, and industry consultancy. He has served as a Professor of Marketing at Zayed University since 2019, with prior roles such as the Associate Professor of Marketing and Graduate Programs Director. His extensive experience as a department chair in various academic institutions, including Zayed University and the University of Jordan, highlights his leadership skills and dedication to curriculum development and accreditation. Dr. Abu-Elsamen’s industry work is equally impressive, with significant consultancy contributions for major corporations in the UAE and Jordan, including Etihad Airways, Marina Mall, and Al-Ain Distribution Company.
Dr. Abu-Elsamen’s research interests lie primarily in marketing strategy, data mining, and predictive modeling. He has published numerous studies on topics such as customer satisfaction measurement, brand management, and the use of advanced analytics in decision-making processes. His research contributions also extend to the design of business programs and the development of new marketing techniques that combine traditional strategies with innovative data-driven insights. Additionally, he has provided key guidance on curriculum redesign and development, particularly in graduate programs, ensuring that they remain aligned with global standards and market needs.
Dr. Abu-Elsamen’s influence extends beyond his teaching and research contributions. He has been instrumental in shaping the business education landscape in the UAE and Jordan, particularly in the areas of business analytics and marketing strategy. His leadership in developing the Business Analytics Certification Program, the first of its kind in the Middle East, showcases his dedication to advancing education in this critical field. Furthermore, his active participation in committees and task forces within his institutions, including the revision of faculty promotion guidelines and mentorship programs, highlights his commitment to enhancing academic standards and faculty development.
Dr. Abu-Elsamen has contributed widely to academic journals, conferences, and industry reports. His work has been recognized internationally, with notable citations in the areas of marketing research, customer satisfaction, and data mining techniques. Some of his well-known publications include studies on structural equation modeling, segmentation analysis, and the use of conjoint analysis in new product development. His published research continues to shape contemporary marketing and data analytics practices.
Dr. Abu-Elsamen’s exceptional academic and professional achievements have earned him several prestigious honors, including:
Dr. Amjad Abu-Elsamen’s career is a testament to the power of perseverance, innovation, and academic excellence. Through his dedication to both teaching and consultancy, he has made significant strides in reshaping business education, particularly in the realms of marketing, data mining, and analytics. His passion for knowledge and growth continues to inspire both students and professionals in the Middle East and beyond.
Looking to the future, Dr. Abu-Elsamen aims to further elevate business education and consultancy in the UAE and globally. He plans to continue his research into advanced data mining techniques and their applications in marketing strategy, with a particular focus on predictive analytics and artificial intelligence. His ongoing work promises to impact future generations of students and professionals, continuing to drive innovation and excellence in the field.