جست‌وجوی استاد و پژوهشگر

Tara Radovićمشاهده پروفایل

پژوهشگر

• Cognitive Psychology
• Task Switching
• Interruption Resilience
• +۳ مورد دیگر

Dr. Tara Radović is a researcher at the Institute of Psychology within the Faculty of Philosophy I at Martin Luther University Halle-Wittenberg, Germany. Based in room 1.18.0 at Emil-Abderhalden-Str. 26-27 in Halle (Saale), she conducts research primarily focused on cognitive psychology with emphasis on task switching, interruption management, and procedural task execution. Her work bridges theoretical cognitive science with practical human factors applications. Dr. Radović's research program examines how individuals maintain task performance when interrupted, with particular attention to the effects of task complexity, similarity between primary and interruption tasks, and the use of mnemonic strategies to enhance resilience. Her investigations span various cognitive domains including visual search, procedural memory, and recently, cognitive aging. She employs rigorous experimental methodologies to uncover fundamental principles of human cognition under interruption conditions. Her publication record demonstrates a clear progression from foundational work on interruption effects (2013-2019) to more complex investigations of task switching parameters and cognitive aging (2022-2025). This trajectory shows increasing sophistication in experimental design and broader theoretical implications for understanding cognitive flexibility across the lifespan. Dr. Radović has actively disseminated her research through presentations at major international conferences including the Psychonomic Society Annual Meeting, European Society for Cognitive Psychology (ESCoP) conferences, and the Conference of Experimental Psychologists (TeaP), establishing herself within the international cognitive psychology community.

Tobias Grundgeigerمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Psychological Ergonomics
• User Experience Design
• +۷ مورد دیگر

Dr. Tobias Grundgeiger is an Associate Professor in Human-Computer Interaction at Julius-Maximilians-University Würzburg, where he serves as an Academic Councillor in the Faculty of Human Sciences. He leads research in the Institute for Human-Computer-Media, specifically within the Psychological Ergonomics group under Prof. Dr. Jörn Hurtienne. Additionally, he holds an Associate Professor/Honorary Research Fellow position at The University of Queensland, Brisbane, Australia. His educational background includes: PhD studies at The University of Queensland, Brisbane, Australia (2007-2010) Psychology studies at the University of Regensburg (2001-2006) Habilitation/Associate Professor qualification in Human-Computer Interaction (2022) Dr. Grundgeiger's research focuses on the interaction between people and technology in socio-technical systems, particularly in healthcare environments such as hospitals, control rooms, and aviation. His work examines how technology can be designed and integrated into complex systems to maximize user benefits while maintaining safety. A secondary research interest explores technology's role in relation to dying and death, aiming to develop technologies that transform engagement with these experiences into meaningful, eudaimonic encounters. His methodological approach combines empirical studies in real-world settings with theoretical frameworks from activity theory, embodied interaction, and psychological need satisfaction. His recent publications reveal a strong focus on AI applications in anesthesiology, human-AI teaming, augmented reality interfaces, and interruption management in safety-critical contexts. A significant portion of his work examines how technology can support clinicians during high-stress medical procedures while maintaining workflow integrity. His research demonstrates how cognitive aids, documentation assistants, and monitoring systems can be designed to align with clinical workflows rather than disrupt them. Dr. Grundgeiger is actively involved in several major research projects, most notably as contact person for the CASSANDRA project (2022-2025), which develops an AI team member for anesthesiology. This €1.34 million project, funded by the German Federal Ministry of Education and Research, aims to create a voice-based virtual agent that supports anesthesia teams through automated documentation and clinical decision support. His teaching responsibilities span both undergraduate and graduate levels, covering Human-Computer Systems, Psychological Ergonomics, Healthcare Usability & User Experience, Eye-Tracking methods, and Theories of Human-Computer Interaction. His pedagogical approach emphasizes practical applications of theoretical concepts in real-world settings.

• Artificial Intelligence
• Systems Engineering
• Cyber-Physical Production Systems
• +۵ مورد دیگر

Dr. Saber Darmoul is an Associate Professor specializing in Systems Engineering and Multidisciplinary Design. His research bridges artificial intelligence with industrial applications, focusing on cyber-physical production systems, operational resilience, and smart transportation. He actively explores knowledge representation, reinforcement learning, and agent-based modeling to address complex system challenges. Key Research Interests: Operational resilience, AI in manufacturing, multi-agent systems, smart mobility Technical Expertise: Ontology modeling, simulation platforms, immune-inspired control architectures His recent publications (2025-2019) demonstrate a consistent focus on integrating artificial immune systems into control architectures for transportation and manufacturing. Notable trends include: Development of knowledge-based systems for dynamic reconfiguration Application of multi-criteria decision frameworks in production environments Advancing predictive maintenance strategies through distributed systems Exploring 6G system-of-systems engineering While no explicit awards or student advisement information appears in available records, his 15 most recent publications reflect sustained academic productivity and evolving focus from foundational control systems (2017-2019) to advanced applications in Industry 4.0 (2020-2025).