Assoc Prof Dr. Tayfun Yörük | Augmented Reality | Best Researcher Award

Posted on by ScienceFather

Assoc Prof Dr. Tayfun Yörük, Augmented Reality, Best Researcher Award

Tayfun Yörük at Akdeniz University, Turkey

Profiles

Scopus

Orcid

🎓 Education:

Assoc. Prof. Tayfun Yörük earned his Doctorate in Educational Administration, Inspection, Planning, and Economics from Akdeniz University, Turkey (2013-2017). He also completed a Postgraduate degree in Educational Administration and Supervision at Akdeniz University (2005-2013). His Undergraduate studies were in Computer Education and Instructional Technologies at Middle East Technical University, Turkey (1999-2004).

🏛️ Academic Titles and Tasks

Assoc. Prof. Yörük is currently serving as an Assistant Professor at Akdeniz University’s Faculty of Applied Sciences, Department of Management Information Systems (2018-present). He previously held the same title at Akdeniz University from 2017 to 2018.

🏫 Academic and Administrative Experience

He has significant experience in academic administration, including roles as Deputy Head of the Department of Management Information Systems (2018-2023), and as Head of the Student Affairs Department (2018-2020) at Akdeniz University. He also worked as a Branch Manager in the Department of Information Technologies (2017-2018).

📚 Courses:

Prof. Yörük teaches a variety of courses such as Analysis of Qualitative Data, Web Programming, Graphic and Informatics Interface Design, Technology Management, Statistics, Human-Computer Interaction, Introduction to Information Systems and Technologies, Object-Oriented Programming, and Information Systems Security.

📜 Dissertations:

For his Doctoral dissertation, he explored “Utilizing Electronic Services within the Scope of the Ministry of National Education’s Management Information Systems as a Decision Support System: A Grounded Theory Study” (Akdeniz University, 2017). His Postgraduate research focused on “Attitudes of High School Administrators, Teachers, and Students Towards Technology and Opinions on the Implementation of the FATIH Project” (Akdeniz University, 2013).

🔬 Research Areas:

His research interests include Education, Educational Sciences, Educational Economics and Planning, Administration and Supervision in Education, Public Education, Educational Technology, Curriculum Development and Teaching Methods, Computer Education and Instructional Technology, Technical Education, Teacher Training, and various aspects of Computer Sciences and Software Engineering.

📖 Publications:

Investigation of students’ intent to use the online learning platform with usability dimensions
  • Authors: Akpınar, F.H., Yörük, T.
  • Journal: Acta Scientiarum – Technology
  • Year: 2024
Research trends on guest experience with service robots in the hospitality industry: a bibliometric analysis
  • Authors: Yörük, T., Akar, N., Özmen, N.V.
  • Journal: European Journal of Innovation Management
  • Year: 2024
The Effect of Administrator Replacement Circulation in Informal Education Institutions Providing Adult Education on Organizational Culture
  • Authors: Karatas, S., Yörük, T., Nazaroğlu, R., Doğan, A., Kahyaoğlu, R.B.
  • Journal: SAGE Open
  • Year: 2024
Teachers’ Perceptions Regarding Effective School Features and Effective Leadership Qualifications of School Principals in Turkey
  • Authors: Karatas, S., Arslan Dönmez, S., Yörük, T., Gök, R., Doğan, A.
  • Journal: SAGE Open
  • Year: 2024
The views of shareholders on utilization of educational technologies in adult learning
  • Authors: Sekerci, R., Yörük, T.
  • Journal: World Journal on Educational Technology: Current Issues
  • Year: 2020

Nadia-AL Rousan-Applications of Computer Vision-Best Researcher Award 

Posted on by ScienceFather

Dr. Nadia-AL Rousan-Applications of Computer Vision-Best Researcher Award 

German Jordanian University-Jordan

Author Profile

Early Academic Pursuits

Dr. Nadia AL-Rousan embarked on her academic journey with a strong focus on computer engineering and artificial intelligence. Her passion for these fields led her to pursue a Ph.D. in Computer Engineering with a specialization in Artificial Intelligence. During her formative years, she developed a wide array of skills encompassing artificial intelligence, data encryption, computer networks, information security, and renewable energy. This diverse educational background laid the foundation for her future endeavors in research and academia.

Professional Endeavors

As an accomplished assistant professor, Dr. Nadia AL-Rousan has dedicated over twelve years to teaching and research across various esteemed institutions worldwide. Her teaching portfolio includes a diverse range of courses, spanning computer networks, information technology, artificial intelligence, machine learning, advanced neural networks, deep learning, and expert systems. This extensive experience has not only shaped her teaching methodology but also deepened her understanding of these critical fields.

Contributions and Research Focus

Dr. Nadia AL-Rousan's research focus spans multiple domains within computer engineering and artificial intelligence. Her expertise includes artificial intelligence, data encryption, data concealment, computer networks, information security, data science, and renewable energy. She is particularly interested in the intersection of artificial intelligence and cybersecurity, developing innovative solutions to safeguard sensitive information in digital environments. Additionally, her research in renewable energy demonstrates her commitment to leveraging technology for sustainable development.

Accolades and Recognition

Dr. Nadia AL-Rousan's contributions to the field have earned her significant recognition, both nationally and internationally. In 2022, she was classified as one of the top ten women working in technology globally, specifically in the category of artificial intelligence. This prestigious acknowledgment underscores her exceptional contributions to the field and her role as a leading figure in AI research and application. Furthermore, she was honored with the WomenTech Global AI Inclusion Award, recognizing her efforts to promote diversity and inclusion within the tech industry.

Impact and Influence

Beyond her research and academic achievements, Dr. Nadia AL-Rousan's impact extends to her role as an ambassador for the WomenTeck network. Through her advocacy and mentorship, she has inspired countless individuals, particularly women, to pursue careers in technology. Her involvement in various academic networks and professional organizations further amplifies her influence, promoting diversity and inclusion within the tech industry.

The Applications of Computer Vision Award recognizes individuals who have demonstrated outstanding contributions to the field of computer vision through innovative research and impactful applications. This prestigious award celebrates researchers who have pushed the boundaries of computer vision technology, unlocking new possibilities in various domains such as image recognition, object detection, video analysis, and autonomous vehicles.

Legacy and Future Contributions

Looking ahead,Dr. Nadia AL-Rousan remains committed to advancing her research in artificial intelligence, cybersecurity, and renewable energy. She aims to explore new frontiers in AI-driven solutions, addressing emerging challenges in data security and sustainable technology development. As she continues to push the boundaries of knowledge and inspire the next generation of technologists, her work will undoubtedly leave a lasting impact on the field of computer engineering and artificial intelligence.

Dr. Nadia AL-Rousan's career exemplifies the profound impact that dedicated individuals can have on advancing technology and fostering inclusivity within the industry. Her multifaceted expertise and unwavering commitment to her fields of study position her as a leading figure in contemporary technology research, shaping the future of AI and cybersecurity.

Citations   

  • Citations    901
  • h-index        13
  • i10-index     16

Notable Publication

Augmented Reality (AR) and Virtual Reality (VR)

Posted on by ScienceFather

Introduction of Augmented Reality (AR) and Virtual Reality (VR)

Augmented Reality (AR) and Virtual Reality (VR) research represent the cutting edge of immersive computing technologies, offering transformative ways for humans to interact with digital and physical worlds. AR overlays digital information onto the real world, while VR creates entirely immersive, computer-generated environments. Researchers in this field are pushing the boundaries of technology to create more immersive, interactive, and practical AR and VR experiences.

Subtopics in Augmented Reality (AR) and Virtual Reality (VR):

  1. AR and VR Hardware Development: Research focuses on the design and development of AR and VR hardware, including headsets, haptic devices, and input methods, to enhance user experiences and reduce costs.
  2. Immersive Content Creation: Researchers explore techniques for creating realistic and engaging AR and VR content, including 3D modeling, animation, and interactive storytelling.
  3. Spatial Mapping and Tracking: Spatial mapping technologies are essential for AR to understand and interact with the physical world accurately. Researchers work on improving mapping and tracking algorithms for more precise AR experiences.
  4. AR for Education and Training: AR is being used to revolutionize education and training across various domains, from medical simulations and industrial training to interactive classroom learning.
  5. VR for Therapy and Healthcare: Virtual Reality has shown promise in therapy and healthcare applications, such as pain management, phobia treatment, and physical rehabilitation. Research explores its effectiveness and usability in these contexts.
  6. Mixed Reality (MR): MR combines elements of AR and VR to create seamless interactions between the digital and physical worlds. Research focuses on enhancing the integration and usability of MR technologies.
  7. Ethical and Privacy Considerations: As AR and VR become more prevalent, researchers address the ethical and privacy challenges related to data collection, user consent, and potential misuse of these technologies.
  8. Real-Time Interaction and Input: Developing natural and intuitive ways for users to interact with AR and VR environments, including gesture recognition, voice commands, and haptic feedback.
  9. AR and VR for Remote Collaboration: In response to the growing demand for remote work and collaboration, research explores how AR and VR can be used to create immersive virtual meeting spaces and shared work environments.
  10. Simulated Environments for Research: VR environments are used to simulate real-world scenarios for scientific research, including psychology, neuroscience, and urban planning, to gain insights into human behavior and decision-making.

AR and VR research continue to advance the boundaries of human-computer interaction and offer innovative solutions across various industries. These subtopics represent the diverse areas of study within this dynamic field.

Object Detection and Recognition
Introduction Object Detection and Recognition: Object Detection and Recognition is a vibrant and evolving field of computer vision and artificial intelligence, dedicated to the automated identification and localization of objects
Image Processing and Enhancement
Introduction Image Processing and Enhancement: Image Processing and Enhancement is a pivotal domain within the realm of computer vision and digital imaging. This field is dedicated to the development of
Computer Vision for Robotics and Autonomous Systems
Introduction of Computer Vision for Robotics and Autonomous Introduction: Computer Vision for Robotics and Autonomous Systems is a multidisciplinary field at the intersection of computer vision, robotics, and artificial intelligence.
3D Computer Vision
Introduction of 3D Computer Vision 3D Computer Vision is a dynamic and interdisciplinary field that aims to enable machines to perceive and understand the three-dimensional structure of the world from
Medical Image Analysis
Introduction of Medical Image Analysis Medical Image Analysis is a critical and rapidly evolving field that harnesses the power of computer vision and machine learning to extract valuable insights from
Video Analysis
Introduction of Video Analysis Video Analysis and Understanding is a dynamic and interdisciplinary field that aims to develop algorithms and techniques for extracting meaningful information from video data. It plays
Deep Learning for Computer Vision
Introduction of Deep Learning for Computer Vision Deep Learning for Computer Vision is at the forefront of modern artificial intelligence, revolutionizing the way machines perceive and interpret visual information. It
Applications of Computer Vision
Introduction of Applications of Computer Vision Applications of Computer Vision represent a diverse and ever-expanding landscape of practical uses for visual data analysis and interpretation. Computer vision technology has transitioned
Human-Computer Interaction
Introduction of Human-Computer Interaction Introduction: Human-Computer Interaction (HCI) research is a multidisciplinary field that focuses on understanding and improving the interaction between humans and technology. It explores how users interact
Biometrics and Security
Introduction of Biometrics and Security Biometrics and Security research is dedicated to the development of cutting-edge technologies that leverage unique physiological or behavioral characteristics of individuals for identity verification and