Mustafa Demir | Human-Computer Interaction | Best Researcher Award

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Dr. Mustafa Demir | Human-Computer Interaction | Best Researcher Award

Postdoctoral Research Scholar, Texas A&M University, United States

Mustafa Demir is a prominent scholar currently serving as a Postdoctoral Research Scholar at the Wm Michael Barnes ’64 Department of Industrial and Systems Engineering at Texas A&M University and an Associate Research Scientist at the Biodesign Institute, Arizona State University. His academic journey spans multiple prestigious institutions, including Arizona State University (ASU) and Erciyes University, where he earned advanced degrees in simulation modeling, economics, and engineering. With a deep passion for human-autonomy teaming, he has contributed significantly to the research on team dynamics, communication, and trust in automation. Mustafa has a diverse skill set, ranging from statistical modeling to deep data analysis, with a focus on human-machine interactions. ✨

Publication Profile

Education

Mustafa’s educational background is rich and diverse. He holds a Ph.D. in Simulation, Modeling, and Applied Cognitive Science from Arizona State University (2017), a Master’s in Management of Technology from ASU (2013), a Master’s in Economics from Erciyes University (2009), and a Bachelor’s in Mechanical Education & Engineering from Dumlupinar University (2004). His multidisciplinary education lays the foundation for his work in human-autonomy teaming and cognitive sciences. 🎓

Experience

With extensive experience in academia and research, Mustafa has held various esteemed positions. He is currently a Postdoctoral Research Scholar at Texas A&M University and an Associate Research Scientist at the Biodesign Institute. He also serves as a Faculty Associate at ASU, teaching statistics, and has previously held the roles of Assistant Research Professor and Assistant Research Scientist. His professional trajectory reflects his expertise in human-machine systems, team dynamics, and cognitive modeling, which have earned him several research grants and a global recognition in his field. 💼

Awards and Honors

Throughout his career, Mustafa Demir has received numerous awards, fellowships, and grants, including a Dissertation Fellowship Award at ASU ($17,000), Best Paper Award at the IEEE CogSIMA International Conference (2016), and several travel grants for international conferences. His leadership and dedication have been recognized through Leadership Awards from the ASU Graduate and Professional Student Association. 🏆

Research Focus

Mustafa’s research primarily focuses on human-autonomy teaming, team dynamics, and cognitive systems. He has contributed extensively to understanding how autonomous systems can effectively interact with humans, emphasizing trust, communication, and decision-making processes. His work in simulation modeling, Bayesian statistics, and dynamical systems has led to a greater understanding of human-machine interactions, particularly in complex environments like military and security applications. His research continues to influence the integration of AI into human teams. 🤖

Conclusion

In conclusion, Mustafa Demir’s interdisciplinary expertise and dedication to the field of human-autonomy teaming have positioned him as a thought leader in his area of research. His academic journey, innovative research, and numerous accolades reflect his commitment to advancing cognitive systems and automation. Mustafa remains at the forefront of exploring how autonomous systems can best collaborate with human teams to improve performance, communication, and trust. 🌟

Publications:

Communication dynamics of a two-agent interaction model with applications to human-autonomy teaming. Journal of Difference Equations and Applications, 30(8), 1222–1252. DOI: 10.1080/10236198.2024.2343834

Navigating the Complex Dynamics of Human-Automation Driving: A Guide to the Use of the Dynamical Systems Analysis (DSA) Toolbox. DOI: 10.2139/ssrn.4610342

Communication Strategies in Human-Autonomy Teams During Technological Failures. Human Factors, 0(0). DOI: 10.1177/00187208231222119

Dynamical Measurement of Team Resilience. Journal of Cognitive Engineering and Decision Making, 17(4), 351–382. DOI: 10.1177/15553434231199729

Modeling Team Interaction and Decision Making in Agile Human-Machine Teams: Quantum and Dynamical Systems Perspectives. IEEE Transactions on Human-Machine Systems. DOI:10.1109/THMS.2023.3276744

Team Situation Awareness in Human-Autonomy Teaming: A Systems Level Approach

Teaming With a Synthetic Teammate: Insights into Human-Autonomy Teaming

Trust and Team Performance in Human-Autonomy Teaming

A Conceptual Model of Team Dynamical Behaviors and Performance in Human-Autonomy Teaming

Zhiping Liu | Human-Computer Interaction | Best Researcher Award

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Mr. Zhiping Liu | Human-Computer Interaction | Best Researcher Award

Researcher, Zibo Comprehensive Bonded Zone Development Service Center, China

Zhiping Liu is a dedicated researcher at the Zibo Comprehensive Bonded Zone Development Service Center in Zibo, Shandong Province, China. With a multifaceted background that spans Industrial Design Engineering, Biomedical Engineering, Psychology, and Computer Science, Zhiping brings a rich blend of theoretical knowledge and practical expertise to his work. He focuses on enhancing digital user experiences through innovative interface designs, integrating both aesthetic and functional elements.

Profile

ORCID

Education 🎓

Zhiping Liu holds a Master’s degree in Industrial Design Engineering from the Mechanical College of Shandong University. His academic journey has provided him with a robust foundation in various disciplines, including Industrial Design Engineering, Biomedical Engineering, Psychology, and Computer Science, equipping him with the skills needed to excel in the field of digital interface design.

Experience 🛠️

Zhiping’s professional experience is marked by his involvement in various research and consultancy projects at the Zibo Comprehensive Bonded Zone Development Service Center. He has played a pivotal role in optimizing digital interfaces, leveraging his expertise to improve user satisfaction and interface efficiency. His work often involves the integration of the Analytic Hierarchy Process with visual design elements, aiming to create more intuitive and effective digital solutions.

Research Interests 🔍

Zhiping Liu’s research interests lie in digital interface design, user experience optimization, and the integration of aesthetic and functional aspects in digital products. His innovative approach involves using the Analytic Hierarchy Process to enhance visual design elements, thereby improving the overall efficiency and user satisfaction of digital interfaces. He is keen on exploring new methodologies that bridge the gap between subjective aesthetic judgments and objective usability metrics.

Awards 🏆

Zhiping Liu has made notable contributions to the field of digital interface design, earning recognition for his innovative research methods. His work on integrating the Analytic Hierarchy Process with visual design principles has been particularly impactful, offering a structured approach to optimizing digital interfaces. Through his research, Zhiping has provided valuable insights and advancements that have significantly improved the field’s understanding and application of digital design principles.

Publications 📚

Liu, Z., “Integrating Analytic Hierarchy Process with Visual Design Elements,” International Journal of Human-Computer Interaction, 2023. [Cited by: 12 articles]

Liu, Z., “Optimizing User Experience through Digital Interface Design,” Journal of Digital Design, 2022. [Cited by: 8 articles]

Liu, Z., “Aesthetic and Functional Integration in Digital Products,” Design Science Journal, 2021. [Cited by: 10 articles]