Dr. Christine Asaju | Innovative Leadership | Women Researcher Award

Dr. Christine Asaju | Innovative Leadership | Women Researcher Award

Tshwane University of Technology, South Africa

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🌱 Early Academic Pursuits

Christine Bukola Asaju embarked on her journey in computer science with a solid foundation. She completed her Bachelor of Science in Computer Science (B.Sc.) at the University of Ilorin, Kwara State, Nigeria, in 2002. Her project, “Automating an Inventory System,” demonstrated her early interest in problem-solving through technology, as she applied automation to a case study on the Global Soaps and Detergent Industry. Driven by an enthusiasm for knowledge and understanding, Christine continued her studies, earning a Postgraduate Diploma in Education in 2008 from the University of Ado-Ekiti, Ekiti State, Nigeria. Her project focused on exploring the social and moral impacts of issues like women trafficking, highlighting her awareness of societal concerns and the role of education in addressing them. This interdisciplinary background enriched her perspective and laid the groundwork for her future contributions to e-learning.

👩‍🏫 Professional Endeavors

Christine currently serves in the Department of Computer Science at the Federal Polytechnic, Idah, Kogi State, Nigeria. With a career rooted in academic excellence, she finds fulfillment in sharing her insights with others to foster learning and development in computer science. Her ability to convey complex concepts has not only made her an invaluable educator but also a communicator within the scientific community. As a dedicated faculty member, Christine has taken on the role of a mentor and collaborator, always encouraging students and colleagues alike to expand their understanding and drive innovation within the field.

🔍 Contributions and Research Focus

Christine’s academic journey reached a new pinnacle when she earned her Ph.D. in Computer Science from the University of the Witwatersrand in Johannesburg, South Africa, in 2023. Her doctoral research, “Spatio-Temporal Reasoning for Estimating Student’s Learning Affect: An Approach to Strengthen E-Learning,” delves into using machine learning techniques to enhance online learning experiences by better understanding student emotions and engagement. This innovative work addresses the growing need for effective digital learning platforms that adapt to individual student needs, a key area of focus in modern educational technology. Guided by her advisor, Professor Hima Vadapalli, Christine’s research stands at the intersection of machine learning and education, contributing significantly to the advancement of e-learning methodologies.

In addition, Christine’s Master of Science (M.Sc.) in Computer Science, completed in 2010 at the University of Ilorin, reflects her early inclination toward applied computer science research. Her thesis on “Development of an Automatic Yoruba Speech Recognition System” aimed at improving accessibility and preserving linguistic heritage through technology. This project, supervised by Professor T.S. Ibiyemi, underscores her commitment to applying technological solutions to real-world challenges, particularly those that impact underrepresented communities.

🏆 Accolades and Recognition

Christine’s dedication to academic excellence and impactful research has been recognized by her peers and the broader academic community. She has an ORCID Research ID (0000-0003-2728-6806) and an active profile on Google Scholar, where her work is accessible to a global audience, allowing her contributions to reach researchers, educators, and students worldwide. Christine’s scholarly achievements and her focus on innovative solutions in computer science have made her a respected figure in her field, especially in Africa, where her work on e-learning holds significant relevance.

🌍 Impact and Influence

Christine’s contributions extend beyond research and teaching. She actively seeks to bridge the gap between academia and society, using her knowledge and communication skills to engage with both scientific and general audiences. Her work, particularly in machine learning applications for e-learning, has had a profound impact on improving educational systems by making them more accessible, adaptive, and effective. Her commitment to research has positively influenced the computer science community, inspiring others to pursue impactful work that addresses real-world challenges.

Christine is also a proud advocate for knowledge-sharing and collaboration, which she views as essential for advancing the scientific community. Her teaching philosophy centers on fostering a love of learning and curiosity among her students. By instilling in them the importance of lifelong learning and critical thinking, Christine has created a ripple effect, nurturing future generations of computer scientists who will carry forward her legacy of innovation and dedication to societal betterment.

🌟 Legacy and Future Contributions

Looking ahead, Christine aims to continue making meaningful contributions to the field of computer science, particularly in the areas of machine learning, educational technology, and social impact research. She envisions further research that will not only deepen understanding in these fields but also generate practical solutions for educational institutions worldwide. With a clear focus on tackling emerging societal issues, Christine aspires to explore how advancements in artificial intelligence and machine learning can be harnessed to address diverse challenges in education, such as accessibility, engagement, and personalized learning.

As Christine pursues these goals, her work will undoubtedly leave a lasting impact on the fields of computer science and education. Her journey from an undergraduate student to an accomplished researcher and educator is a testament to her resilience, dedication, and passion for knowledge. Christine Bukola Asaju’s legacy will likely inspire many, proving that with commitment and a focus on meaningful research, one can make substantial contributions that benefit both academia and society at large.

 📝Notable Publications

 A Temporal Approach to Facial Emotion Expression Recognition

Authors: Christine Asaju, Hima Vadapalli
Journal/Conference: Southern African Conference for Artificial Intelligence Research
Year: 2021

Affects Analysis: A Temporal Approach to Estimate Students’ Learning

Authors: Christine Bukola Asaju, Hima Vadapalli
Journal/Conference: 2021 3rd International Multidisciplinary Information Technology and Applications Conference
Year: 2021

Short Message Service (SMS) Spam Detection and Classification Using Naïve Bayes

Authors: Christine Bukola Asaju, E.J. Nkorabon, R.O. Orah
Journal/Conference: Conference Organizing Committee
Year: 2021

Development of a Machine Learning Model for Detecting and Classifying Ransomware

Authors: Christine Bukola Asaju, D. Otoo-Arthur, R.O. Orah, F. Sekyi-Dadson
Journal/Conference: 2021 1st International Conference on Multidisciplinary Engineering and Technology
Year: 2021

 Affect Analysis: A Literature Survey on Student-Specific and General Users’ Affect Analysis

Authors: Christine Asaju, Hima Vadapalli
Journal/Conference: Science and Information Conference
Year: 2024

Assoc Prof Dr Nasser Mozayani | Decision-making and Problem-solving | Best Researcher Award

Assoc Prof Dr Nasser Mozayani | Decision-making and Problem-solving | Best Researcher Award

Iran University of Science and technology, Iran

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Early Academic Pursuits 🎓

Dr. Nasser Mozayani’s academic journey began with a Bachelor’s degree in Electrical Engineering, specializing in Computer Hardware, from Sharif University of Technology in Tehran, Iran, in 1990. Driven by a passion for advanced computational frameworks, he pursued further studies in France, obtaining an M.Sc. in Telematics and Information Systems from SUPELEC, Rennes, in 1994. His master’s thesis, “Sequential Connectionist Machine: A General Framework,” delved into creating structured, sequential systems that could evolve in response to their computational environment. In 1998, he completed his Ph.D. in Informatics from the University of Rennes I, France, with a dissertation on “Incorporation of a Spatio-Temporal Coding to Neural Networks,” marking an early focus on neural network structures and their adaptability. This research marked the beginning of a strong academic and professional focus on machine learning and artificial intelligence.

Professional Endeavors 🏢

Since 1999, Dr. Mozayani has served as an Associate Professor at the Iran University of Science and Technology (IUST), where he has taught a range of foundational and advanced courses to both undergraduate and graduate students. His expertise spans subjects such as Electronic Circuits, Digital Electronics, and Electric Circuits, alongside Computational Intelligence and Artificial Neural Networks, where he has contributed extensively to developing these courses.

Dr. Mozayani has held various leadership roles, including as Dean of the Computer Engineering Department (2009-2014 and 2023-present), Head of the Computer Center, and Deputy of Research and Technology at IUST’s International Campus. His influence has been instrumental in shaping the university’s technology policies and enhancing the research infrastructure. His contributions as the Dean of IUST’s E-learning Center from 2006 to 2009 and 2014 to 2018 underscore his commitment to advancing digital learning solutions, demonstrating his forward-thinking approach to integrating technology into education.

Contributions and Research Focus 🔬

Dr. Mozayani’s research has been pivotal in advancing machine learning, multi-agent systems, and the smart grid. Over two decades, his contributions have covered a wide range of innovative projects, primarily centered on using artificial intelligence to address complex challenges in grid management, finance, healthcare, and digital environments. His recent works include:

  • Smart Grid and Metaverse: Dr. Mozayani has been actively involved in developing communication protocols and demand response frameworks within the smart grid. His reports on virtual power plant formation and flexible communication protocols exemplify his efforts to enhance grid efficiency and sustainability.
  • Healthcare Applications of Machine Learning: In response to the COVID-19 pandemic, Dr. Mozayani conducted a comprehensive study in 2021 that explored machine learning methodologies to predict hospitalization length and mortality factors in COVID-19 patients.
  • Artificial Neural Networks and Simulation: His graduate courses, including Simulation and Educational Games, offer students insights into simulation technologies and neural networks. His long-term research commitment to reinforcement learning has yielded applications in high-level agent interactions and behavior-based system design, as seen in projects like Robocup agent training and traffic light control systems.

Dr. Mozayani has consistently integrated his research with practical applications, which include designing distributed library systems, developing educational resources, and creating software frameworks like learning management systems and digital libraries.

Accolades and Recognition 🏆

Dr. Mozayani has received numerous awards, including several high rankings in competitive robot events as part of the IUST RoboCup team. His team notably secured first place in the Rescue Virtual Robots competition at the Iran Open and the Khwarizmi Young Award in 2009 and 2010. He also supervised the 2-D football simulation team, which earned a fourth-place finish in a global RoboCup competition in 2013. These achievements showcase his leadership in advancing robotics research and his skill in integrating AI concepts into competitive and practical frameworks. His influence extended to mentoring student teams that competed successfully in digital library development, further highlighting his expertise in educational and library systems.

Impact and Influence 🌍

Dr. Mozayani’s contributions extend well beyond his technical achievements; he has been influential in shaping computer engineering education and research infrastructure at IUST. As a member of the editorial boards for both the CSI Journal of Computer Science and Information Technology and the International Journal of Information & Communication Technology Research, he provides valuable insights that contribute to the academic community. His efforts in managing and directing various departments, like the Computer Center and E-learning Center, have left a lasting impact on the technological capabilities and learning resources available at IUST.

Dr. Mozayani’s work on the Board of Trustees for the Iran Computer and Video Games Foundation from 2016 to 2022 underscores his commitment to fostering an environment where technology, education, and entertainment intersect. His work there involved policy creation and oversight that helped drive innovation and support for digital gaming and simulation, which aligns well with his academic pursuits in simulation and educational games.

Legacy and Future Contributions 🌐

With a foundation of nearly three decades in computer engineering, Dr. Mozayani has established a legacy of academic excellence, innovation, and practical application of AI and machine learning. As he continues in his roles as a department dean and researcher, his work on smart grids and machine learning applications holds promise for future developments that address critical challenges in energy efficiency, metaverse expansion, and multi-agent system integration.

By combining a comprehensive background in engineering education with hands-on leadership in technology departments, Dr. Mozayani remains a central figure in fostering Iran’s computer engineering advancements. His students and colleagues are likely to benefit from his ongoing research, potentially influencing future applications of AI and multi-agent systems within both local and global contexts. Dr. Mozayani’s dedication to advancing technology in education and his forward-thinking research make him a respected and influential leader in the fields of AI, machine learning, and smart grid technology.

📝Notable Publications

Traffic light control in non-stationary environments based on multi-agent Q-learning

Authors: M. Abdoos, N. Mozayani, A.L.C. Bazzan

Journal: Proceedings of the 2011 14th International IEEE Conference on Intelligent Transportation Systems

Volume/Issue/Pages: Not specified

Year: 2011

Holonic multi-agent system for traffic signals control

Authors: M. Abdoos, N. Mozayani, A.L.C. Bazzan

Journal: Engineering Applications of Artificial Intelligence

Volume: 26

Issue: 5-6

Pages: 1575-1587

Year: 2013

Fuzzy running average and fuzzy background subtraction: concepts and application

Authors: M.H. Sigari, N. Mozayani, H. Pourreza

Journal: International Journal of Computer Science and Network Security

Volume: 8

Issue: 2

Pages: 138-143

Year: 2008

The pedagogical agent enhances mathematics learning in ADHD students

    • Authors: N. Mohammadhasani, H. Fardanesh, J. Hatami, N. Mozayani, R.A. Fabio

Journal: Education and Information Technologies

Volume: 23

Issue: Not specified

Pages: 2299-2308

Year: 2018

Factors related to e-learner dropout: Case study of IUST eLearning center

Authors: M.A. Rostaminezhad, N. Mozayani, D. Norozi, M. Iziy

Journal: Procedia – Social and Behavioral Sciences

Volume: 83

Issue: Not specified

Pages: 522-527

Year: 2013

 

Prof Dr. Han-Jui Chang | Strategic Leadership | Best Researcher Award

Prof Dr. Han-Jui Chang | Strategic Leadership | Best Researcher Award

Shantou University, China 

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Early Academic Pursuits 🎓

Han-Jui Chang, also known as Henry Chang, began his academic journey in mechanical engineering. He obtained his Bachelor’s Degree in Mechanical Engineering from I-Shou University in 2003. Building on this foundation, he pursued a Master of Science in Mechanical & Electrical Engineering at National Formosa University, which he completed in 2007. His pursuit of knowledge did not stop there; he furthered his expertise by earning a Doctorate in Industrial Education from Universitded Metropolitana in 2018. This broad academic background provided him with a strong foundation in both theoretical and practical aspects of engineering and industrial processes.

Professional Endeavors 🔧

With over 20 years of experience in the engineering and manufacturing industry, Chang has held various significant positions. His career began as a Design Engineer at Kao Fong Industrial Co. Ltd., where he worked on large water pumps and automated systems. He later moved to Champ Automatic Mechanical Limited Company as a Mechanical Engineer, focusing on automated conveyor systems.

His career saw a significant leap when he joined FCS Machinery Company, where he held multiple roles including Service Engineer, R&D Engineer, and Project Supervisor. His work involved the development of new applications and technologies in injection molding machines and extensive international project management. This role laid the groundwork for his subsequent position as Taiwan Region Manager at Engel Austria GmbH, where he was instrumental in establishing and growing the company’s presence in Taiwan.

Contributions and Research Focus 🔬

Chang’s research and professional contributions are vast and varied. His work has focused on the development and optimization of injection molding processes, including innovations in materials and machinery. His research has been published in several high-impact journals. Notable works include his studies on optimizing Fresnel lens quality using NSGA-II algorithms, the application of deep learning networks in improving product quality, and advancements in the quality of injection molding recycled materials. His publications, featured in journals like Polymers and Scientific Reports, reflect his deep engagement with both theoretical and applied aspects of his field.

Chang’s involvement in R&D extends to significant contributions in the fields of automotive components, medical products, and high-accuracy electronic parts. His work on liquid silicone rubber (LSR) technology for medical applications and the development of high-performance composite materials showcases his ability to integrate new technologies with practical applications.

Accolades and Recognition 🏆

Chang’s expertise and contributions have earned him several accolades and recognition. In 2024, he was honored as a member of the USA Sigma Xi Scientific Research Honor Society. He has been a guest speaker at various universities, including Chung Yuan Christian University, Southern Taiwan University, and Nan Jeon University of Science and Technology. These invitations highlight his role as an influential educator and industry expert.

Additionally, he has received professional training in patent engineering, project management, and international trading, further enhancing his capabilities and credentials. His patent granted by Taiwan’s Patent Bureau for an FCS company product underscores his innovative contributions to the field.

Impact and Influence 🌍

Chang’s work has significantly impacted the engineering and manufacturing sectors, particularly in the area of injection molding technology. His innovative solutions and practical demonstrations have helped numerous companies overcome manufacturing challenges and enhance product quality. His role in starting up offices and establishing technical solutions in Taiwan and Malaysia has broadened his influence across regions and industries.

Moreover, his contributions to academic research and publications have advanced the knowledge base in his field, influencing both current practices and future research directions. Chang’s ability to bridge the gap between academic research and practical application exemplifies his role as a leader and innovator in engineering.

Legacy and Future Contributions 🌟

As an accomplished academic and industry professional, Han-Jui Chang has laid a solid foundation for future contributions in engineering and industrial education. His ongoing research and dedication to advancing technology suggest that he will continue to drive innovation and excellence in his field. His legacy will likely be marked by his impactful research, the success of the projects he has led, and his commitment to educating and inspiring future engineers.

Chang’s vision for the future involves continued exploration of new technologies and methods to enhance manufacturing processes. His expertise in injection molding, composite materials, and automated systems positions him well to contribute to the ongoing evolution of these technologies and to mentor the next generation of engineers.

Notable Publications

Solvent Regulation Synthesis of Single-Component White Emission Carbon Quantum Dots for White Light-Emitting Diodes

Authors: L Rao, Q Zhang, M Wen, Z Mao, H Wei, HJ Chang, X Niu

Journal: Nanotechnology Reviews

Year: 2021

Using Sequence-Approximation Optimization and Radial-Basis-Function Network for Brake-Pedal Multi-Target Warping and Cooling

Authors: H Chang, G Zhang, Y Sun, S Lu

Journal: Polymers

Year: 2022

Intelligent Predicting of Product Quality of Injection Molding Recycled Materials Based on Tie-Bar Elongation

Authors: H Chang, Z Su, S Lu, G Zhang

Journal: Polymers

Year: 2022

Direct Cutting of a Pyramid Part to Evaluate a Five-Axis Machine Tool with the Taguchi Method

Authors: HJ Chang, SL Chen, PY Lee

Journal: The International Journal of Advanced Manufacturing Technology

Year: 2017

Optimizing Glass Fiber Molding Process Design by Reverse Warping

Authors: HJ Chang, ZM Su

Journal: Materials

Year: 2020

Assist Prof Dr. Tipajin Thaipisutikul | Innovative Leadership |Best Researcher Award | 3184

Assist Prof Dr. Tipajin Thaipisutikul | Innovative Leadership |Best Researcher Award

Mahidol University, Thailand 

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Early Academic Pursuits 🎓

Dr. Tipajin Thaipisutikul’s academic journey began at Mahidol University, Thailand, where he earned his Bachelor of Science in Information and Communication Technology in 2010 with First Class Honours. His senior project, “VAPO,” a Voice Activated Personal Organizer, showcased his early interest in innovative technology and garnered significant attention. He continued his studies at The University of Sydney, Australia, completing a Master of Information Technology in 2012, specializing in Computer Networks. His thesis, “mSpeed,” involved crowdsourcing measurements on cellular networks, reflecting his growing expertise in data collection and analysis.

Dr. Thaipisutikul’s pursuit of excellence led him to National Central University, Taiwan, where he earned his Ph.D. in Computer Science in 2021. His doctoral research, “A Novel Deep Sequential Recommendation Model Based on Contextual Information,” explored deep learning models for recommendation systems, setting the stage for his future contributions to the field of artificial intelligence.

Professional Endeavors 🌟

Dr. Thaipisutikul has made substantial strides in academia and industry. As the Assistant Dean for Academic Services and Technology Transfer at Mahidol University’s Faculty of ICT, he has been instrumental in advancing educational programs and fostering technology transfer initiatives. His role involves instructing a variety of courses, including Advanced Programming and the Fundamentals of Programming in Python and C.

His career also includes significant teaching and research roles at Yuan Ze University in Taiwan and various faculties within Mahidol University. Dr. Thaipisutikul has provided guest lectures on cutting-edge topics such as Generative AI and Deep Learning, further establishing his reputation as a thought leader in the field.

Contributions and Research Focus 🔬

Dr. Thaipisutikul’s research focus encompasses Sequence Learning, Deep Learning, Applied Intelligence, and Recommender Systems. His work has led to several influential publications in prestigious journals, including:

  • “Automatic Detection of Nostril and Key Markers in Images” (2024) in Intelligent Systems with Applications.
  • “Forecasting National-Level Self-Harm Trends with Social Networks” (2023) in IEEE Access.
  • “Multi-hop Video Super Resolution with Long-Term Consistency (MVSRGAN)” (2023) in Multimedia Tools and Applications.
  • “An Improved Deep Sequential Model for Context-Aware POI Recommendation” (2023) in Multimedia Tools and Applications.

Dr. Thaipisutikul’s research integrates deep learning techniques with practical applications, significantly advancing the capabilities of recommendation systems and contextual information processing.

Accolades and Recognition 🏆

Dr. Thaipisutikul’s contributions have been recognized through numerous awards:

  • Best Paper Award at The 5th International Conference on Information Technology (2020) for “HandKey: An Efficient Hand Typing Recognition Using CNN for Virtual Keyboard.”
  • Excellent Paper Award and Best Paper Award at the International Conference on Ubi-Media Computing (2018, 2019).
  • Best Presentation Award at the 10th International Workshop on Advanced E-Learning (2017).

These accolades reflect his impact on the field and his ability to contribute innovative solutions to complex problems.

Impact and Influence 🌐

Dr. Thaipisutikul’s work has made significant impacts on both academic and practical fronts. His research has advanced the state-of-the-art in deep learning and recommendation systems, influencing how intelligent systems are developed and applied in various industries. His teaching and training initiatives, including specialized courses on Python Programming and AI, have equipped students and professionals with the skills needed to excel in a rapidly evolving technological landscape.

Legacy and Future Contributions 🌟

Looking forward, Dr. Thaipisutikul aims to further his research in sequence learning and deep learning applications, exploring new frontiers in artificial intelligence and machine learning. His ongoing projects and collaborations are expected to yield innovative solutions and contribute to the advancement of technology in diverse fields.

His legacy is marked by a commitment to academic excellence, innovation, and the application of advanced technologies to solve real-world problems. As he continues to mentor the next generation of researchers and professionals, Dr. Thaipisutikul’s influence on the field of computer science and information technology is poised to grow, shaping the future of artificial intelligence and applied intelligence.

Notable Publications 

“A collaborative filtering recommendation system with dynamic time decay”

Authors: YC Chen, L Hui, T Thaipisutikul

Journal: The Journal of Supercomputing

Volume: 77

Issue: 1

Pages: 244-262

Year: 2020

“A Learning-Based POI Recommendation With Spatiotemporal Context Awareness”

Authors: YC Chen, T Thaipisutikul, TK Shih

Journal: IEEE Transactions on Cybernetics

Volume: 46

Issue: 5

Pages: 1185-1196

Year: 2020

“Feature Line Embedding Based on Support Vector Machine for Hyperspectral Image Classification”

Authors: YN Chen, T Thaipisutikul, CC Han, TJ Liu, KC Fan

Journal: Remote Sensing

Volume: 13

Issue: 1

Pages: 130

Year: 2021

“DAViS: a unified solution for data collection, analyzation, and visualization in real-time stock market prediction”

Authors: S Tuarob, P Wettayakorn, P Phetchai, S Traivijitkhun, S Lim, T Noraset, …

Journal: Financial Innovation

Volume: 7

Issue: 1

Pages: 1-32

Year: 2021

“MDPrePost-Net: A Spatial-Spectral-Temporal Fully Convolutional Network for Mapping of Mangrove Degradation Affected by Hurricane Irma 2017 Using Sentinel-2 Data”

Authors: I Jamaluddin, T Thaipisutikul, YN Chen, CH Chuang, CL Hu

Journal: Remote Sensing

Volume: 13

Issue: 24

Pages: 5042

Year: 2021

Prof Dr. Ensar ÇETİN| Visionary Leadership | Best Researcher Award

Prof Dr. Ensar ÇETİN| Visionary Leadership | Best Researcher Award

Nevşehir Haci Bektas Veli Üniversity, Turkey 

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🎓 Early Academic Pursuits

Çetin’s academic journey began with a strong foundation in the social sciences. He pursued undergraduate education at Istanbul University, focusing on Sociology, and further expanded his intellectual horizons by enrolling in the Philosophy department at Erciyes University. His quest for knowledge led him to Marmara University, where he completed his graduate studies at the Institute of Social Sciences, specializing in Sociology with a focus on the Sociology of Religion. This rigorous academic training equipped Çetin with a deep understanding of societal structures, religious practices, and the intricate relationship between them.

During his time at Marmara University, Çetin was deeply influenced by the intellectual environment and the mentorship he received. His interest in the Sociology of Religion blossomed, leading him to pursue a doctorate in the same field. His doctoral research, which was both comprehensive and innovative, laid the groundwork for his future contributions to the field of sociology. Upon the completion of his doctorate, Çetin had established himself as a promising scholar with a keen interest in understanding the everyday lives of individuals through the lens of sociology.

👨‍🏫 Professional Endeavors

In 2012, after earning his doctorate, Çetin joined Çankırı Karatekin University as a faculty member in the Department of Sociology, specifically within the Department of Social Structure and Change. His appointment marked the beginning of a significant chapter in his professional career. Çetin’s expertise in the Sociology of Everyday Life quickly became apparent, and his academic contributions earned him the title of Associate Professor in 2015. His work during this period was characterized by a profound engagement with the sociological aspects of everyday life, exploring how ordinary people navigate and construct their social realities.

Çetin’s academic journey took a new turn in 2018 when he began working at Nevşehir Hacı Bektaş Veli University. His reputation as a scholar of repute continued to grow, and in 2021, he was appointed as a Professor in the Department of Sociology, specifically in the General Sociology and Methodology Department. This role allowed him to further influence the academic discourse in sociology, particularly in the subfields of Everyday Life Sociology, Environmental Sociology, Sociology of Religion, and Sociology of Change.

📚 Contributions and Research Focus

Throughout his career, Çetin has made substantial contributions to the field of sociology. His research has primarily focused on the Sociology of Everyday Life, where he has explored the mundane and routine aspects of social life, shedding light on how individuals create meaning and navigate their social worlds. His work in this area has been pivotal in understanding the micro-level interactions that constitute the fabric of society.

In addition to Everyday Life Sociology, Çetin has also delved into Environmental Sociology, examining how societal structures and cultural practices intersect with environmental issues. His research in this area is particularly relevant in the context of global environmental challenges, offering sociological insights into the human dimensions of environmental change.

Çetin’s work in the Sociology of Religion continues to be influential, as he explores the evolving role of religion in contemporary society. His research has provided valuable perspectives on how religious beliefs and practices are shaped by and, in turn, shape social change.

🏆 Accolades and Recognition

Çetin’s academic excellence has not gone unnoticed. His appointment as an Associate Professor in 2015 was a testament to his contributions to the field of sociology. His research has been recognized for its depth and originality, earning him accolades within the academic community. Çetin’s appointment as a Professor in 2021 further solidified his standing as a leading figure in sociology.

His work has been widely cited by other scholars, reflecting the impact of his research on the broader academic community. Çetin has also been invited to speak at numerous conferences and seminars, where he has shared his insights on various sociological topics, further enhancing his reputation as a thought leader in the field.

🌍 Impact and Influence

Çetin’s influence extends beyond the academic sphere. His research on the Sociology of Everyday Life has provided valuable insights into how people construct their identities and navigate social structures, contributing to a broader understanding of human behavior in contemporary society. His work in Environmental Sociology has also had a significant impact, offering sociological perspectives on environmental issues that are crucial for informing policy and public discourse.

In the realm of the Sociology of Religion, Çetin’s research has contributed to a deeper understanding of how religious practices and beliefs evolve in response to social change. His work has been instrumental in bridging the gap between sociology and religious studies, offering interdisciplinary perspectives that enrich both fields.

🏅 Legacy and Future Contributions

As a seasoned academic, Çetin’s legacy is already being felt in the field of sociology. His contributions to the study of everyday life, environmental issues, and religion have left an indelible mark on the discipline. His work has not only advanced academic knowledge but has also provided practical insights that can inform public policy and social practices.

Looking ahead, Çetin is poised to continue his contributions to sociology. His ongoing research promises to further illuminate the complexities of social life, offering new perspectives on how individuals and societies respond to the challenges of modernity. As a Professor at Nevşehir Hacı Bektaş Veli University, Çetin is also playing a crucial role in mentoring the next generation of sociologists, ensuring that his intellectual legacy will endure for years to come.

Publications 

 Gündelik hayata sosyolojik bakmak

Author: E. Çetin
Journal: Hiperlink
Year: 2017

Gündelik hayat sosyolojisi

Author: E. Çetin
Journal: İstanbul: Rağbet Yayınları
Year: 2013

 Türkiye’de Gündelik Hayatın Tanziminde Din ve Sekülerizm

Author: E. Çetin
Journal: İnsan ve Toplum Bilimleri Araştırmaları Dergisi
Year: 2014

Bir sosyal yardımlaşma pratiği olarak askıda kahve ve sadaka taşı

Author: E. Çetin
Journal: Akademik Bakış Uluslararası Hakemli Sosyal Bilimler Dergisi
Year: 2014

 Osmanlı’da Gündelik Hayata Sosyolojik Bir Bakış

Author: E. Çetin
Journal: Toplum Bilimleri Dergisi
Year: 2013

Assist Prof Dr. David Park | Innovative Leadership | Best Researcher Award

Assist Prof Dr. David Park | Innovative Leadership | Best Researcher Award

Stanford University, United States

🔗 Profile

Orcid 

Early Academic Pursuits 📚

Dr. David Jaehyun Park began his academic journey with a medical degree from the Catholic University of Korea, College of Medicine, Seoul, South Korea, earned between March 3, 2003, and February 27, 2009. This foundational training was followed by a Ph.D. in Neuroscience (Neurosurgery) from the same institution, completed from September 1, 2011, to August 14, 2015. During his residency at Seoul St. Mary’s Hospital and various fellowships, Dr. Park developed a strong foundation in neurosurgery and oncology, honing his skills and knowledge in both clinical and research settings. His early academic endeavors laid the groundwork for a distinguished career in neurosurgery and medical research.

Professional Endeavors 🏥

Dr. Park’s career has been marked by a diverse array of professional roles and clinical appointments. After completing his internship and residency at Seoul St. Mary’s Hospital, he undertook several prestigious fellowships, including positions at Brigham and Women’s Hospital and the National Neuroscience Institute in Singapore. His commitment to advancing the field continued with postdoctoral research at Massachusetts General Hospital and various clinical fellowships at renowned institutions such as North Shore University Hospital and Cleveland Clinic. As of July 2024, Dr. Park serves as a Clinical Assistant Professor at both Stanford University School of Medicine and Palo Alto VA Medical Center, reflecting his dedication to teaching and clinical excellence.

Contributions and Research Focus 🔬

Dr. Park’s research has significantly advanced the field of neurosurgery, particularly in the areas of skull base surgery and neurosurgical oncology. His innovative work includes the development of intraoperative cancer detection devices, with both provisional and non-provisional patents granted for his contributions. His focus on integrating advanced technologies and improving surgical techniques has contributed to better outcomes for patients with brain tumors. Dr. Park’s involvement in specialized training courses, such as the 2nd Rhoton Society Meeting and AI+ Health 2022, underscores his commitment to staying at the forefront of medical and technological advancements.

Accolades and Recognition 🏆

Dr. Park’s exceptional contributions have earned him numerous accolades throughout his career. He has received prestigious awards such as the Achievement Award from the Korean Medical Association and multiple Outstanding Resident Awards from various hospitals. His recognition extends to significant achievements in academic and innovation circles, including being a semi-finalist in the 2018 MIT Sloan Healthcare Innovation Prize and the MIT $100K Entrepreneurship Competition. These honors reflect his dedication to excellence in both clinical practice and research.

Impact and Influence 🌟

Dr. Park’s impact extends beyond his immediate field, influencing both his peers and the broader medical community. His role as a mentor to numerous students, residents, and research fellows highlights his dedication to nurturing the next generation of medical professionals. Through his clinical and research work, Dr. Park has contributed to significant advancements in neurosurgery and has played a crucial role in shaping the future of medical innovation. His leadership in various capacities, including as the founder and CEO of ORFACTORY, Inc., demonstrates his entrepreneurial spirit and commitment to translating research into practical solutions.

Legacy and Future Contributions 🚀

As Dr. Park continues his work at Stanford University and the Palo Alto VA Medical Center, his legacy is defined by his relentless pursuit of excellence and innovation in neurosurgery. His future contributions are poised to further impact the field through ongoing research and development, particularly in enhancing surgical techniques and patient outcomes. Dr. Park’s dedication to mentoring and education ensures that his influence will extend through the work of his trainees and collaborators. His ongoing research and clinical practice promise to continue shaping the future of neurosurgery and medical technology, cementing his legacy as a leading figure in his field.

📚 Publications

Dosimetric Comparison of Dedicated Radiosurgery Platforms for the Treatment of Essential Tremor: Technical Report

  • Authors: Neelan J Marianayagam, Ian Paddick, Amit R Persad, Yusuke S Hori, Alexander Maslowski, Ishwarya Thirunarayanan, Arjun R Khanna, David J Park, Vivek Buch, Steven D Chang, et al.
  • Journal: Cureus
  • Year: 2024

The Promise of Tumor Mutation Burden and Microenvironment as Biomarkers in Glioma Treatment

  • Authors: Park J David, Chang D Steven
  • Journal: Journal of Biomedical Research & Environmental Sciences
  • Volume: 5
  • Issue: 3
  • Pages: 1923
  • Year: 2024
  • DOI: 10.37871/jbres1923

Automatic Segmentation of Vestibular Schwannomas: A Systematic Review

  • Authors: Kerem Nernekli, Amit R Persad, Yusuke S Hori, Ulas Yener, Emrah Celtikci, Mustafa Caglar Sahin, Alperen Sozer, Batuhan Sozer, David J Park, Steven D Chang
  • Journal: World Neurosurgery
  • Year: 2024

Stereotactic Radiosurgery for Facial Nerve Hemangioma: Case Report and Systematic Review

  • Authors: David J Park, Yusuke S Hori, Kerem Nernekli, Amit R Persad, Armine Tayag, Louisa Ustrzynski, Sara C Emrich, Steven L Hancock, Steven D Chang
  • Journal: Journal of Clinical Neuroscience
  • Year: 2024

Stereotactic Radiosurgery for Residual, Recurrent, and Metastatic Hemangiopericytomas: A Single-Institution Retrospective Experience

  • Authors: Kelly H Yoo, David J Park, Anand Veeravagu, Amit Persad, Marco Lee, Neelan J Marianayagam, Aroosa Zamarud, Xuejun Gu, Erqi L Pollom, Scott G Soltys, et al.
  • Journal: Neurosurgery
  • Year: 2024

Mr. Liangzhu Yan | Innovative Leadership | Young Scientist Award

Mr. Liangzhu Yan | Innovative Leadership | Young Scientist Award

College of Energy, Chengdu University of Technology, China

🔗 Professional Profiles

👨‍🎓 Summary:

Yan Liangzhu, a dedicated student at Chengdu University of Technology, excels in intelligent drilling and completion, embedded development, and user experience design. His innovations in smart drilling tools and hydraulic fracturing have earned him recognition in the industry.

📚 Education:

Pursuing research at the College of Energy, Chengdu University of Technology, Yan focuses on advancing drilling technologies and geothermal resource exploitation.

🌟 Professional Experience:

Yan has led key projects for CNPC, published extensively, and holds numerous patents and software copyrights in intelligent drilling systems.

🔬 Research Interests:

Intelligent drilling, hydraulic fracturing, numerical simulation, geothermal energy, and innovative tool development.

Notable Publications 

Research progress of technologies and numerical simulations in exploiting geothermal energy from abandoned wells: A review
    • Authors: Zouwei Liu, Wenjian Yang, Kai Xu, Qianqing Zhang, Liangzhu Yan, Bozhi Li, Xulong Cai, Minghe Yang
    • Journal: Geoenergy Science and Engineering
    • Volume: 224
    • Issue: 2023-05
    • Pages: 211624
    • Year: 2023
Eco-development of oil and gas industry: CCUS-EOR technology
    • Authors: Liangzhu Yan, Jiajia Hu, Qiongyao Fang, Xueqing Xia, Banyu Lei, Qiao Deng
    • Journal: Frontiers in Earth Science
    • Volume: 10
    • Issue: 2023-01-17
    • Pages: 1063042
    • Year: 2023
Low-carbon oil exploitation: Carbon dioxide flooding technology
    • Authors: Xueqin Xia, Qiao Deng, Pengfei Sang, Leichuan Tan, Liangzhu Yan, Jingwen Bao, Wenlong Li
    • Journal: Frontiers in Earth Science
    • Volume: 10
    • Issue: 2023-01-09
    • Pages: 1035771
    • Year: 2023
Omni-directional guide intelligent follow-up walker design
    • Authors: Haoxin Li, Liangzhu Yan, Qiongyao Fang, Siying Zhao, Junhao Zhang, Muyu Lin
    • Conference: International Conference on Intelligent and Human-Computer Interaction Technology (IHCIT 2022)
    • DOI: 10.1117/12.2655666
    • Year: 2022

Prof Dr. ALEX IBHADON | Transformational Leadership | Best Researcher Award

Prof Dr. ALEX IBHADON | Transformational Leadership | Best Researcher Award

University of Hull, United Kingdom, United Kingdom

🔗 Professional Profiles

🎓 Education

  • PhD Chemistry, 1989, University of Birmingham, United Kingdom
  • MSc Chemistry, 1985, Ahmadu Bello University, Nigeria
  • BSc (Hons) Industrial Chemistry, 1981, University of Benin, Nigeria

👨‍🏫 Employment

  • 2019 – Present: Professor/Reader, University of Hull, United Kingdom
  • 2002-2019: Associate Professor, University of Hull, United Kingdom
  • 1996-2002: Assistant Professor, University of Hull, United Kingdom
  • 1991-1995: Postdoctoral Research Fellow, University of Newcastle, United Kingdom

🌟 Professional Qualifications

  • Fellow & Chartered Chemist, Royal Society of Chemistry, CChem FRSC, 2002, UK
  • Fellow, UK Higher Education Academy (FHEA), 2014, UK
  • Senior Fellow, UH Higher Education Academy (SFHEA), 2017, UK

📚 Teaching and Research in the UK

  • Internationally recognized for teaching excellence and curriculum design
  • Extensive experience in chemistry education at undergraduate and postgraduate levels
  • Significant contributions to teaching innovation and student engagement

🔬 Research Track Record

  • Focus on novel catalytic materials for sustainable chemical synthesis and renewable energy
  • Secured over £10.1M in research grants from EU, EPSRC, Royal Society, and BEIS
  • Pioneering work in decarbonization strategies in the UK’s Humber region
  • Patented inventions and spin-outs contributing to commercialization of research

🌍 Industry Engagement and Consultancy

  • Collaboration with over 350 industries in the Humberside region
  • Leading projects on resin formulation, hydrogen generation, and energy storage solutions
  • Key partnerships with organizations like EDF Energy and VUBA Chemical Innovations

🏆 Honors and Awards

  • Recognized for leadership in higher education and scientific research
  • Active involvement in national and international conferences and committees

This biography encapsulates Professor Alex Ibhadon’s illustrious career in academia, research, and industry, highlighting his profound impact on chemistry education, sustainable technology development, and industrial collaboration.

📖Publication Top Noted

 Paper Tittle: Heterogeneous photocatalysis: recent advances and applications

  • Authors: Alex Omo Ibhadon, Paul Fitzpatrick
  • Journal: Catalysts
  • Year: 2013
  • Citations:1533

 Paper Tittle: A review of the existing and alternative methods for greener nitrogen fixation

  • Authors: Nikolay Cherkasov, AO Ibhadon, P Fitzpatrick
  • Source: Chemical Engineering and Processing: Process Intensification
  • Year: 2015
  • Citations: 474

 Paper Tittle: Low temperature plasma-catalytic NOx synthesis in a packed DBD reactor: Effect of support materials and supported active metal oxides

  • Authors: BS Patil, Nikolay Cherkasov, J Lang, AO Ibhadon, Volker Hessel, Q Wang
  • Source: Applied Catalysis B: Environmental
  • Year: 2016
  • Citations: 186

 Paper Tittle: Solar light driven photocatalytic degradation of levofloxacin using TiO 2/carbon-dot nanocomposites

  • Authors: Shelja Sharma, Ahmad Umar, Surinder Kumar Mehta, Alex O Ibhadon, Sushil Kumar Kansal
  • Source: New Journal of Chemistry
  • Year: 2018
  • Citations: 108

Paper Tittle: Visible-light driven photocatalytic degradation of brilliant green dye based on cobalt tungstate (CoWO4) nanoparticles

  • Authors: Pankaj Taneja, Shelja Sharma, Ahmad Umar, Surinder Kumar Mehta, Alex O Ibhadon, Sushil Kumar Kansal
  • Source: Materials Chemistry and Physics
  • Year: 2018
  • Citations: 101

Assoc Prof Dr. Cheng-tien Wu | Authentic Leadership | Best Researcher Award | 2860

Assoc Prof Dr. Cheng-tien Wu | Authentic Leadership | Best Researcher Award

Assoc Prof Dr. Cheng-tien Wu, Taiwan

🔗 Professional Profiles

Summary:

Associate Professor specializing in Toxicology and Biochemistry/Medical at China Medical University, Taiwan. Experienced in nutrition research, with a focus on kidney health, inflammation, and fibrosis.

Education:

  • Ph.D. in Toxicology, National Taiwan University, Taiwan, 2010
  • M.Sc. in Biochemistry/Medical, Chung Shan Medical University, Taiwan, 2004
  • B.Sc. in Food Science/Nutrition, Fu Jen Catholic University, Taiwan, 1999

Professional Experience:

  • Associate Professor, Department of Nutrition, China Medical University, Taiwan (2013 – Present)
  • Assistant Professor, Department of Nutrition, China Medical University, Taiwan (2019 – 2023)
  • Medical Investigator, Taipei Medical University – Shuang Ho Hospital, Taiwan (2018 – 2019)
  • Senior Editor, Medjaden Bioscience Ltd., Hong Kong (2017 – Present)
  • Study Director, Level Biotechnology Inc., Taiwan (2015 – 2017)

Research Interest:

  • Kidney Health 🥦
  • Inflammation and Fibrosis 🧬
  • Functional Foods and Nutritional Interventions 🍎

Selected Publications:

  • Withaferin A Protects Against ER Stress-Associated Apoptosis, Inflammation, and Fibrosis in Kidneys (Phytomedicine, 2020)
  • Antifibrotic Effects of Icariin on Kidneys (Phytomedicine, 2019)
  • Genotoxicity and Oral Toxicity Studies of Functional Food Mixtures (RegulToxicolPharmacol, 2018)
  • Plasticizer Induced Renal Fibrosis (ToxicolSci, 2018)
  • Effects of Arsenic on Bone Health (Environ Health Perspect, 2014)

Publication Top Noted

Wogonin ameliorates ER stress-associated inflammatory response, apoptotic death and renal fibrosis in a unilateral ureteral obstruction mouse model

    • Authors: Kuo, H.-L., Chuang, H.-L., Chen, C.-M., Yang, S.-F., Wu, C.-T.
    • Journal: European Journal of Pharmacology
    • Volume: 977
    • Issue: Not specified
    • Pages: 176676
    • Year: 2024

Involvement of AMPKα and MAPK-ERK/-JNK Signals in Docetaxel-Induced Human Tongue Squamous Cell Carcinoma Cell Apoptosis

    • Authors: Su, C.-C., Lin, J.-W., Chang, K.-Y., Fang, K.-M., Chen, Y.-W.
    • Journal: International Journal of Molecular Sciences
    • Volume: 23
    • Issue: 22
    • Pages: 13857
    • Year: 2022

Therapeutic Effect of Icaritin on Cerebral Ischemia-Reperfusion-Induced Senescence and Apoptosis in an Acute Ischemic Stroke Mouse Model

    • Authors: Wu, C.-T., Yang, T.-H., Chen, M.-C., Chen, C.-M., Liu, S.-H.
    • Journal: Molecules
    • Volume: 27
    • Issue: 18
    • Pages: 5783
    • Year: 2022

Therapeutic effect of quercetin polymeric nanoparticles on ischemia/reperfusion-induced acute kidney injury in mice

    • Authors: Huang, K.-T., Wu, C.-T., Chang, Y., Chiang, C.-K., Liu, S.-H.
    • Journal: Biochemical and Biophysical Research Communications
    • Volume: 608
    • Issue: Not specified
    • Pages: 122–127
    • Year: 2022

Nobiletin Alleviates Ferroptosis-Associated Renal Injury, Inflammation, and Fibrosis in a Unilateral Ureteral Obstruction Mouse Model

    • Authors: Lo, Y.-H., Yang, S.-F., Cheng, C.-C., Guan, S.-S., Wu, C.-T.
    • Journal: Biomedicines
    • Volume: 10
    • Issue: 3
    • Pages: 595
    • Year: 2022

Prof Dr. Barbara Sittner | Innovative Leadership | Best Researcher Award

Prof Dr. Barbara Sittner | Innovative Leadership | Best Researcher Award 

Prof Dr. Barbara Sittner, Bryan College of Health Sciences/RETIRED, United States 

🔗 Professional Profiles

🌟 Summary:

Barbara J. Sittner, PhD, RN, APRN-CNS, ANEF, is an experienced nurse educator, simulation expert, and researcher with a strong background in maternal/child nursing. She has held various teaching positions, contributed to simulation training programs, and actively participated in research projects focusing on nursing education and patient safety.

📚 Education:

  • PhD in Community & Human Resources, University of Nebraska, 2002
  • MSN in Maternal/Child CNS, University of Nebraska Medical Center-College of Nursing, 1994
  • BSN in Nursing, University of Nebraska Medical Center-College of Nursing, 1990
  • Diploma in Nursing, Bryan Memorial School of Nursing, 1978

💼 Professional Experience:

  • Simulation Consultant & Simulation Center Director, Bryan College of Health Sciences, Lincoln, Nebraska (2019 – Present)
  • Professor of Nursing, Bryan College of Health Sciences, Lincoln, Nebraska (2012 – Present)
  • Assistant Professor, University of Nebraska Medical Center College of Nursing, Lincoln and Omaha, Nebraska (2007 – 2012)
  • Maternal/Child Clinical Nurse Specialist & Patient Care Coordinator, Saint Elizabeth Regional Medical Center, Lincoln, Nebraska (1994 – 2002)

🔬 Research Interests:

  • Simulation in nursing education
  • Interprofessional education (IPE)
  • Patient safety and quality improvement in healthcare
  • Maternal/Child health and perinatal nursing

I hope this captures the key aspects of your background and expertise! Let me know if you’d like to add or modify anything.

Publication Top Noted

  • Authors: Anne M. Schoening, Barbara J. Sittner, Martha J. Todd
  • Journal: Nurse Educator
  • Year: 2006
  • Citations: 362

Paper Title : INACSL standards of best practice for simulation: past, present, and future

  • Authors: Barbara J Sittner, Michelle L Aebersold, Jane B Paige, Leslie LM Graham, Andrea Parsons Schram, Sharon I Decker, Lori Lioce
  • Journal: Nursing education perspectives
  • Year: 2015
  • Citations: 189

Paper Title : National League for Nursing—Jeffries Simulation Framework State of the Science Project: Simulation Design Characteristics

  • Authors: Barbara J. Sittner Jeffrey Groom, Deborah Henderson
  • Journal:  Clinical Simulation in Nursing
  • Year: 2013
  • Citations: 146

Paper Title : Effects of high-risk pregnancies on families

  • Authors: Barbara J Sittner, John DeFrain, Diane Brage Hudson
  • Journal: MCN: The American Journal of Maternal/Child Nursing
  • Year: 2005
  • Citations: 66