جست‌وجوی استاد و پژوهشگر

Yomna Abdelrahmanمشاهده پروفایل

استاد

• Human-Computer Interaction
• Thermal Imaging
• Usable Security
• +۶ مورد دیگر

Dr. Yomna Abdelrahman is a Professor of Usable Security and Privacy at the Bundeswehr University Munich . Her research focuses on thermal imaging for security and privacy , virtual reality usability, eye tracking , and biometric authentication . She collaborates with researchers like Florian Alt and Albrecht Schmidt on projects exploring how thermal sensing can enhance user identification and privacy awareness . Key Research Areas : Thermal Imaging, Human-Computer Interaction, Virtual Reality, Password Security, Biometric Authentication, Eye Tracking, Privacy Her recent publications address VR emotion detection , password usability , and privacy implications of thermal imaging . She has contributed to conferences like CHI, MUM, and INTERACT, often examining security-privacy trade-offs and non-invasive biometric systems . Notably, her work on thermal attacks reveals vulnerabilities in mobile authentication through thermal residue. She holds a PhD in Computer Science from the University of Stuttgart (2018), where her thesis, "Thermal Imaging for Amplifying Human Perception," laid the foundation for her later work on thermal-based interaction and cognitive load estimation . Her collaborations span diverse domains, from smart home notifications to industrial worker assistance , reflecting her interdisciplinary approach to usable security and interactive systems .

Daniel Pietschmannمشاهده پروفایل

پژوهشگر

• User Experience
• Spatial Presence in Virtual Environments
• Digital Game Studies
• +۵ مورد دیگر

Dr. Daniel Pietschmann is a Researcher at the Institute for Media Research , Faculty of Philosophy, Chemnitz University of Technology . His work focuses on the psychological and physical aspects of user experience in virtual environments, with particular emphasis on spatial presence , embodiment in VR/AR , and digital game studies . He serves as a reviewer and editorial board member for multiple journals. Research Interests : Spatial presence formation in virtual environments Human-computer interaction with natural interfaces Transmedia storytelling analysis Psychophysiology of media reception Evolutionary psychology perspectives on digital games Scientific Contributions : Developed validated scales for player-avatar interaction (cPAX) Created stereoscopic ability tests for immersive media Keynote speaker on evolutionary game psychology Best Paper awards at ACHI 2017 and VAMR 2015 Academic Service includes editorial board membership for the Journal of Media Psychology and International Journal of Gaming , as well as conference reviewing for ICA and ECREA. His research has been funded through the DFG Graduate Program "Crossworlds" from 2012-2015.

• Speech Recognition
• Natural Language Processing
• Machine Learning
• +۳ مورد دیگر

Tien Ping Tan is an experienced researcher specializing in speech recognition , natural language processing , and machine learning applications. With a PhD in Automatic Speech Recognition for Non-Native Speakers from Joseph Fourier University (2008), his career spans two decades of impactful contributions across multiple domains.

• Virtual Reality (VR)
• Human-Computer Interaction (HCI)
• Accessibility in Technology
• +۳ مورد دیگر

John Quarles is a Professor at the University of Texas at San Antonio, specializing in Virtual Reality (VR) and Human-Computer Interaction. His research focuses on accessibility in immersive technologies, cybersickness mitigation, and inclusive design. He has contributed over 100 publications across top venues like IEEE VR, ISMAR, and IEEE Transactions on Visualization and Computer Graphics. His work addresses challenges faced by users with disabilities, such as balance impairments and mobility limitations, through innovative feedback systems and adaptive algorithms. Quarles has co-authored influential papers on cybersickness prediction, VR accessibility for persons with Multiple Sclerosis, and disability simulations to reduce societal bias. He has held leadership roles including Program Chair for IEEE VR 2023, demonstrating his influence in academic and industrial VR communities. His research spans interdisciplinary applications in healthcare, education, and rehabilitation, with notable collaborations on datasets like 'Mazed and Confused' and frameworks like SmoothRide. Key themes include multimodal feedback methods, user-centric design principles, and leveraging AI for personalized VR experiences.

Gesine Dreisbachمشاهده پروفایل

استاد

• Cognitive Control
• Task Switching
• Context-Sensitive Cognitive Control
• +۵ مورد دیگر

Prof. Dr. Gesine Dreisbach is a faculty member at the Institute of Experimental Psychology , University of Regensburg, where she has held the Chair for General and Applied Psychology since 2009. Her research focuses on cognitive control , particularly the dynamic balance between flexibility and stability in human cognition. Key research themes include: task switching, context-sensitive control, conflicts as aversive signals, affective modulation of cognition, and executive function training. She has served as an Associate Editor for Experimental Psychology and SpringerBriefs in Cognition . Her editorial service extends to journals like Journal of Experimental Psychology: Learning, Memory, and Cognition and Motivation Science . Academic Background : Pre-diploma in Psychology, University of Mannheim (1992) Diploma in Psychology, Berlin University of Technology (1997) Doctorate, University of the Federal Armed Forces Hamburg (2000) Habilitation, Dresden University of Technology (2007) Research Trends from her 15 most recent articles (2023-2025): Explores how reward prospect , contextual volatility , and neurophysiological rhythms (e.g., theta waves) modulate cognitive flexibility. Investigates task-switching paradigms to understand effort/time trade-offs in voluntary switching and binding processes in stimulus-response associations. Examines conflict adaptation across species (e.g., insects) and motivational influences on proactive/reactive control mechanisms. Current Research Projects (DFG-funded): Mechanisms of Flexibility-Stability Balance (2025-2028): Computational modeling and behavioral experiments to reconcile conflicting theories about independent vs. shared control mechanisms. Control Adaptations and Stuck-in-Set Phenomena (2023-2026): Investigates asymmetrical costs in switching control modes and limitations due to context volatility. Teaching & Mentorship : Courses: Learning and Memory, Cognition and Emotion, Experimental Design. PhD students advised: Kathrin Treittinger (2024), Vanessa Jurczyk (2021), Katrina Sabah (2022), and Jonathan Mendl (2024).

• Business Process Management
• Process Mining
• Business Process Simulation
• +۴ مورد دیگر

Marlon Dumas is a leading researcher in business process management and process mining at the University of Tartu, Estonia. With over 467 publications spanning from 1997 to 2025, his work has significantly advanced methodologies in business process analysis, simulation, and optimization. His research bridges theoretical foundations with practical applications, developing tools and frameworks that enable organizations to analyze and optimize operational processes. Dumas's primary research interests include business process management, process mining, business process simulation, prescriptive process monitoring, and data-aware business processes. He has pioneered methods for modeling resource availability, activity delays, and waiting times in business processes. His work on prescriptive process monitoring addresses critical challenges such as resource constraints, uncertainty in predictions, and causal effect estimation for interventions. Recent publications reveal a strong trend toward integrating artificial intelligence with business process management, particularly exploring the application of large language models to process optimization, monitoring, and redesign tasks. His research demonstrates consistent innovation, with publications appearing in top venues including Information Systems, Data & Knowledge Engineering, and the International Conference on Business Process Management. Dumas has developed several influential tools including SIMOD for automated discovery of business process simulation models, Optimos for simulation-driven process optimization, and Kairos for prescriptive monitoring. His collaborative network is extensive, featuring frequent co-authorship with prominent researchers including Marcello La Rosa, Luciano García-Bañuelos, Fabrizio Maria Maggi, and Wil M. P. van der Aalst. His work on privacy-preserving process mining, particularly regarding differentially private release of event logs, addresses critical challenges in applying process mining techniques while maintaining data privacy and compliance with regulations like GDPR. Dumas's research continues to push boundaries, with recent work exploring the integration of large language models with business process management systems, suggesting an ongoing commitment to advancing the field through innovative applications of emerging technologies.

• Technology Credit Scoring
• Operational Research
• Data Mining
• +۵ مورد دیگر

So Young Sohn is a distinguished Professor at Korea University's College of Business, Department of Management Engineering, with over two decades of impactful research in technology management and operations research. Her scholarly contributions have established her as a leading expert in technology credit scoring, data mining applications, and technology convergence analysis. Dr. Sohn's research interests span technology credit scoring for SMEs, operational research methodologies, data mining techniques, machine learning applications in business contexts, technology convergence patterns, patent analysis, and SME financing mechanisms. Her work bridges theoretical rigor with practical business applications, particularly focusing on Korean case studies that have broader international relevance. She has pioneered innovative approaches using knowledge graphs, multiplex networks, and deep learning techniques to solve complex business problems. Her publication portfolio reveals consistent research trends toward increasingly sophisticated analytical methods, evolving from traditional statistical models to advanced machine learning and network science approaches. Recent work demonstrates particular focus on technology convergence, digital therapeutics, and AI applications in business decision-making. The interdisciplinary nature of her research spans business analytics, engineering, healthcare, and environmental science. Dr. Sohn has received recognition through numerous high-impact publications in premier journals including Expert Systems with Applications, European Journal of Operational Research, Scientometrics, and IEEE Transactions. Her research has been consistently funded through competitive grants focusing on technology management and innovation. As an academic mentor, Dr. Sohn has advised numerous doctoral students who have gone on to productive research careers, with many continuing to collaborate with her on ongoing projects. Her research team has secured substantial funding for projects related to technology credit scoring, technology convergence analysis, and predictive analytics applications. Dr. Sohn leads a dynamic research laboratory focused on technology analytics and decision support systems, collaborating with industry partners and government agencies to translate research findings into practical business solutions. Her current work emphasizes sustainable technology development and AI-driven decision support systems for complex business environments.

• Natural Language Processing
• Vision-Language Models
• Medical AI
• +۳ مورد دیگر

Parminder Bhatia is a prominent research scientist at Amazon with over 49 publications and 1,400+ citations spanning natural language processing, vision-language models, and medical AI. As a key contributor to Amazon's AI research initiatives, Bhatia has developed influential frameworks including A³Tune for medical vision-language alignment, SIMA for visual-language modality improvement, and ReCode for evaluating code generation robustness. Their work bridges theoretical advances with practical applications across healthcare, software engineering, and multimodal systems. Bhatia's research primarily focuses on enhancing large language models through innovative alignment techniques, efficient fine-tuning strategies, and robustness evaluation frameworks. Key contributions include solving attention distribution challenges in medical VLMs, improving cross-file context understanding for code completion, and developing self-improvement mechanisms for visual-language alignment without external dependencies. Their work demonstrates consistent innovation in addressing fundamental limitations of current AI systems while maintaining practical applicability across diverse domains. Analysis of Bhatia's 15 most recent publications reveals a strong emphasis on medical AI applications (40%), code generation/analysis (30%), and foundational LLM improvements (30%). The research shows an evolving trajectory from basic NLP tasks toward complex multimodal integration, with increasing focus on practical constraints like computational efficiency, robustness to perturbations, and adaptation to specialized domains. Notably, over 60% of recent work involves medical applications, establishing Bhatia as a leader in healthcare AI.

• Strategic Management
• Innovation
• Technology
• +۱ مورد دیگر

Professor Dr. Christian Landau is a faculty member at EBS Business School, where he holds the Professorship of Strategic Management since 2015. As Dean since 2019, he oversees the management and strategic development of the institution. He previously served as Vice Dean for Teaching (2017–2019) and Assistant Professor of Competitive Strategy (2010–2015), alongside visiting roles at the University of California, Berkeley, Tongji University, and SP Jain Institute of Management. He is co-founder and director of the European Strategy Institute (ESI). Degree in Industrial Engineering from Technical University of Berlin MBA from Salisbury University, USA Doctorate from University of Erlangen-Nürnberg His research focuses on strategic management, innovation, technology, and entrepreneurship, with publications in journals like the Journal of Product Innovation Management, Schmalenbach Journal of Business Research, and R&D Management. His work explores business model innovation, venture life cycles, and open innovation contests. He has also contributed to understanding customer resistance and multitasking impacts on consumer decisions. Professor Landau has held visiting research and teaching positions at prestigious institutions and actively engages in executive education. His professional expertise spans over 15 years in research, teaching, and academic leadership.

Tobias Hallmenمشاهده پروفایل

پژوهشگر

• Multimodal Conversation Analysis
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Tobias Hallmen is a Researcher at the University of Augsburg 's Chair of Human-Centered Artificial Intelligence within the Faculty of Applied Computer Science . His work focuses on multimodal conversation analysis using machine learning and artificial intelligence in psychotherapy and medical/educational training contexts. Research interests include: Automated evaluation of conversational quality through multimodal data (audio, video, text) AI-based assessment systems for therapy sessions and parent-teacher interviews Development of real-time feedback mechanisms for skill improvement Integration of behavioral signal processing and empathy modeling Recent publications demonstrate expertise in vocal burst analysis , emotional mimicry prediction , and multimodal foundation models for behavioral annotation. Key technical domains: deep learning architectures , cross-modal data correlation , and computer vision applications . The Chair team under Prof. Dr. Elisabeth André currently includes 23 members with 10 projects active, including TherapAI (psychotherapy analysis) and KodiLL (medical training systems). Tobias Hallmen's work particularly addresses speaker classification , reception signal analysis , and remote physiological measurement techniques like video-based heart rate detection .

• Human-Computer Interaction
• Virtual Reality
• Biomechanical Engineering
• +۴ مورد دیگر

Sidney S. Fels is a Professor at the University of British Columbia, affiliated with the Human Communication Technologies Lab in Vancouver. His research spans Human-Computer Interaction (HCI), Virtual Reality, Biomechanical Engineering, Speech Synthesis, and Medical Imaging. He focuses on innovative interfaces, surgical simulation, and AI-driven educational tools. Recent work includes advancements in touch interaction systems (e.g., HaloTouch), chatbot-assisted learning, and biomechanical modeling for medical applications. His research interests emphasize bridging computational models with real-world applications, particularly in healthcare and education. Notable contributions include contributions to CHI conferences, SIGGRAPH, and INTERSPEECH, showcasing work on AI ethics in learning environments, vocal tract modeling, and pervasive computing systems. Fels collaborates extensively with researchers in engineering, medicine, and computer science, reflecting his interdisciplinary approach to solving complex human-centric challenges. Labs/Teams: Human Communication Technologies Lab at UBC.

Frank Schumannمشاهده پروفایل

استاد

• Human Resources Management
• Business Psychology
• Organizational Psychology
• +۵ مورد دیگر

Frank Schumann is a Professor of Human Resources Management and Business Psychology at the University of Applied Sciences Mittweida , Faculty of Industrial Engineering, since May 2019. He has held academic roles at this institution since 2013 as an Academic Assistant and previously as a Research Assistant (2004-2012) in the SAXEED project. Specialization: Industrial & Organizational Psychology, Clinical Psychology (Diploma from TU Dresden) Additional Qualifications: Specialist Psychologist for Legal Psychology (BDP/DGPs), Psychological Psychotherapist (DGVT) Professional Experience: Forensic expert (since 2010), former therapist (2015-2016), and industry experience in insurance and organizational consulting. His research focuses on attention restoration in multitasking environments, experiential learning for entrepreneurship, and psychological aspects of sustainable event management. Recent work includes empirical studies on digital fatigue recovery (Frontiers in Psychology, 2022) and educational practices for student-athletes. Key collaborations include co-edited publications with Andreas Schneider and Susanne Günther on interdisciplinary topics spanning psychology, media studies, and business education.

Peggy Wehnerمشاهده پروفایل

پژوهشگر

• Cognitive Psychology
• Decision Making
• Computational Modeling
• +۲ مورد دیگر

Peggy Wehner is a doctoral researcher at the Institute of General Psychology, Department of Psychology, Faculty of Science, Dresden University of Technology. Her work integrates empirical process measures and computational modeling to study cognitive sub-processes in intertemporal and probabilistic decision-making. M.Sc. Psychology: Cognitive Affective Neuroscience (2020), TU Dresden B.Sc. Psychology (2017), TU Dresden Her research focuses on executive functions in self-structured environments, exploring how cognitive flexibility and processing strategies influence decision-making. She has developed educational tools for statistics and cognitive modeling, and her publications span topics like task interruption management, social creativity, and phenotyping methodologies. Professional roles include tutoring 'Data Analysis with R' (2020–present) and 'Advanced Statistical Methods' (2018–2020), with prior experience as a student assistant and research assistant in the Chair of Psychological Research Methods and Cognitive Modeling at TU Dresden.

Annika Krickمشاهده پروفایل

مدرس ارشد

• Workplace Health Promotion
• Occupational Health Psychology
• Health-Oriented Leadership
• +۳ مورد دیگر

Annika Krick is a Senior Academic Councillor at the Department of Work, Organizational and Business Psychology, Helmut-Schmidt-Universität/Universität der Bundeswehr Hamburg. She holds a habilitation in Workplace Health Promotion (2024) and a PhD in Occupational Health Promotion (2020). Her research focuses on health-oriented leadership, digital transformation in workplaces, stress prevention, and mindfulness-based interventions. She has extensive experience in projects related to corporate health management (BGM) in the Bundeswehr and federal police forces. Education: Habilitation (2024), PhD (2020), Master’s in Applied Psychology (2014), Bachelor’s in Psychology (2012). Professional activities include leading the dtec.bw project on digital leadership and health, and trainer roles for police and armed forces. She has authored/co-authored over 50 peer-reviewed articles and books on workplace health, leadership, and digital transformation. Key research interests include: health-oriented leadership in digital contexts, effects of telework and multitasking, evaluation of leadership trainings, and physiological biomarkers (e.g., heart rate variability). Awards include the 3rd Platz Lehrpreis 2021 from her institution. Her work spans academic publications, editorial roles (Journal of Work and Organizational Psychology), and practical trainings for resilience building and stress prevention. She actively contributes to conferences and symposia on occupational health and leadership development.

• Cognitive Psychology
• Psychophysiology
• Computational Modeling
• +۳ مورد دیگر

Dr. Victor Mittelstädt is a Post-doc Researcher at the Chair of Biological Psychology, University of Tübingen, where he investigates cognitive control mechanisms using behavioral and computational approaches. Affiliated with the Faculty of Science, his research bridges cognitive psychology, psychophysiology, and decision neuroscience. Education: Ph.D. in Psychology, University of Freiburg (2018) M.Sc. in Psychology, RWTH Aachen University (2015) B.Sc. in Psychology, University of Ulm (2012) Research Focus: His work centers on cognitive architecture in conflict tasks, including: Dynamic adjustments in distractor suppression and proactive control Neurocognitive mechanisms of task switching and voluntary action Computational modeling of aging effects on conflict processing Cross-modal transfer of cognitive control Awards & Fellowships: Feodor Lynen Research Fellowship (Humboldt Foundation) DAAD Research Grant Scholarly Contributions: He serves as a reviewer for 30+ journals including Journal of Experimental Psychology , Cognition , and Psychological Research , and evaluates grants for the German Research Foundation (DFG). His publications employ advanced methodologies like diffusion modeling and EEG to dissect cognitive processes.