جست‌وجوی استاد و پژوهشگر

Niels Henzeمشاهده پروفایل

استاد

• Human-Computer Interaction
• Predictive Models in Interactive Systems
• Mobile Human-Computer Interaction
• +۵ مورد دیگر

Niels Henze is a Professor at the Chair of Media Informatics within the Faculty of Languages, Literature and Cultural Studies at the University of Regensburg, where he has been serving since May 2018. His research centers on human-computer interaction, with a strong focus on predictive models in interactive systems, mobile interaction, augmented and virtual reality, and attention-aware computing. His research interests include: Human-Computer Interaction (HCI) Predictive modeling for runtime adaptation Mobile and wearable interaction Augmented and Virtual Reality (AR/VR) Attention-aware and context-sensitive systems Sociocognitive aspects of interactive technologies The analysis of his recent publications reveals a consistent focus on leveraging user behavior and contextual cues to build intelligent, adaptive interfaces. His work integrates machine learning with interaction design, emphasizing real-time model updates, implicit feedback, and cognitive load awareness to improve usability and user experience across mobile and immersive platforms. Scientific awards: No awards mentioned in the provided text. Niels Henze leads research in adaptive interactive systems and advises students in the field of media informatics. He has previously held a junior professorship at the University of Stuttgart and completed his doctorate at the University of Oldenburg under Susanne Boll. He is actively involved in advancing the theoretical and practical foundations of predictive and attention-aware computing. Grants and funding sources are not specified in the text. He is associated with the Institute for Information and Media, Language and Culture (I:IMSK) at the University of Regensburg, contributing to a multidisciplinary environment that bridges informatics with cultural and linguistic studies.

Matthias Krauledatمشاهده پروفایل

استاد

• Machine Learning
• Brain-Computer Interface
• Signal Processing
• +۳ مورد دیگر

Prof. Dr. Matthias Krauledat is a faculty member at Hochschule Rhein-Waal , specifically within the Faculty of Technology and Bionics . His academic career spans both theoretical research and industrial application, with a focus on Machine Learning and Brain-Computer Interfaces . After completing his PhD in Electrical Engineering/Computer Science at Technische Universität Berlin , he has contributed significantly to the advancement of EEG-based communication systems and neural signal processing methodologies. Born in Essen, Germany Studied Mathematics with a minor in Computer Science at University of Münster/Oxford Doctoral research at TU Berlin on Brain-Computer Interfaces Industrial experience at Henkel AG & DMT GmbH Research Interests focus on Machine Learning applications in Neuroscience and Biomedical Engineering , specifically Brain-Computer Interfaces , EEG Signal Processing , and Adaptive Classification Systems . His work explores how algorithms can be developed to enable self-learning computers to solve complex tasks involving neural data interpretation and prediction for previously unseen data in clinical and technological contexts. Publications demonstrate a consistent contribution to Neuroscience and Machine Learning fields, with particular emphasis on Brain-Computer Interface systems from 2004 through 2009. His research has focused on reducing training requirements, improving signal processing accuracy, and developing novel interaction paradigms like the Hex-o-Spell mental typewriter while addressing statistical challenges like covariate shift in neural data analysis. Professional Experience includes academic research at TU Berlin's Intelligent Data Analysis group, industrial software development roles at Henkel AG's Scientific Computing department, and TÜV Nord Group's Optical Metrology and Machine Diagnostics divisions. He maintains active research connections through collaborative publications with leading experts in the field.

• Digital Transformation
• Business Process Management (BPM)
• Robotic Process Automation (RPA)
• +۴ مورد دیگر

Prof. Dr. Ralf Plattfaut is a Professor for Information Systems and Transformation Management at the University of Duisburg-Essen since 2023. He heads the Process Innovation & Automation Lab , focusing on digital transformation, business process management, and robotic process automation (RPA). Prior to this, he was Professor for Business Informatics at the South Westphalia University of Applied Sciences (2019–2023), and a management consultant at McKinsey & Company (2013–2019). Current Role: Professor (since 2023) Lab Leadership: Process Innovation & Automation Lab Consulting: Management consultant and keynote speaker Research Interests span digital transformation, IT governance, RPA adoption, and postcolonial perspectives in information systems. His work addresses organizational challenges in process automation, agile methodologies, and human-AI collaboration. Recent Publications (2024–2025) examine paradoxes in agile transformations, postcolonial IT governance in NGOs, AI adoption in healthcare, and behavioral barriers like status quo bias. These studies often employ computational grounded theory and cross-organizational case analyses. Scientific Recognition includes multiple Best Paper and Best Conference Paper nominations at ICIS, HICSS, and IFIP E-Government Conferences, as well as recognition by Wirtschaftswoche as a top German-speaking management researcher under 40.

Rebecca Schaumbergمشاهده پروفایل

استادیار

• Organizational Behavior
• Psychological Theory in Business
• Emotions in Organizations
• +۶ مورد دیگر

Rebecca Schaumberg is an Assistant Professor of Organizational Behavior at ESMT Berlin, joining the faculty on July 1, 2025. She is part of a diverse international faculty of 47 members from 18 countries, contributing to ESMT's interdisciplinary and globally engaged research environment. Her research lies at the intersection of psychological theory and business practice, with a focus on self-conscious emotions such as shame, guilt, pride, and embarrassment. These emotions are studied in the context of decision-making, leadership processes, and organizational culture. Her work has been published in leading academic journals including Psychological Science , Academy of Management Journal , and Organizational Behavior and Human Decision Processes . The body of her research, as reflected in the 15 most recent conceptual articles, spans themes in organizational behavior, psychology, leadership, and ethics. Key trends include the influence of emotions on accountability, status dynamics, feedback reception, and ethical behavior within organizations. Her work integrates insights from social and cognitive psychology into management science. Scientific Awards: Teaching Excellence Award at the Wharton School Advising and Teaching: Dr. Schaumberg has been recognized for her excellence in teaching, particularly in negotiation, at the Wharton School. At ESMT, she will teach organizational behavior in the master’s programs. While no formal advisees are listed, her academic mentorship is expected to grow within her new role. Labs and Research Teams: No specific labs or research teams are mentioned in the available text.

• Refugee Mental Health
• Psychotraumatology
• Migration Psychology
• +۵ مورد دیگر

Dr. Yuriy Nesterko serves as a Research Associate on third-party funded projects within the Department of Clinical-Psychological Intervention at Freie Universität Berlin's Department of Education and Psychology. His work focuses on refugee mental health, trauma, and migration-related psychological challenges with significant contributions to digital mental health interventions for displaced populations. His research spans refugee mental health , particularly among Arabic-speaking populations and LGBTQ+ refugees, examining trauma exposure, sexual violence, and culturally adapted interventions. Nesterko investigates intergenerational trauma in Holocaust survivor descendants and racism in therapeutic contexts , addressing critical gaps in culturally sensitive care. His methodological expertise includes digital mental health interventions , psychometric validation of trauma measures across cultures, and epidemiological studies of refugee populations. Nesterko's publication analysis reveals strong emphasis on cross-cultural adaptation of mental health services , with significant focus on Arabic-speaking regions and German refugee populations. His work demonstrates consistent integration of digital interventions with traditional therapeutic approaches, particularly for PTSD and depression in displaced communities. Recent publications show growing attention to vulnerable subgroups including male sexual violence survivors, LGBTQ+ refugees, and second-generation trauma effects. Nesterko collaborates extensively with Prof. Christine Knaevelsrud's team and H. Glaesmer on multiple projects including I-REACH (Internet-based Refugee Mental Health Care) and STRENGTHS (Scaling up psychological interventions with Syrian refugees). His work appears in leading journals such as Epidemiology and Psychiatric Sciences , Journal of Affective Disorders , and European Journal of Psychotraumatology . His research portfolio includes substantial work on mental health assessment in migration contexts, culturally adapted diagnostics , and barriers to care for refugees. Current projects focus on digital phenotyping, wearables, and machine learning applications in refugee mental health through the PREACT-digital initiative.

Karl R. Gegenfurtnerمشاهده پروفایل

استاد

• Visual Perception
• Color Vision
• Cognitive Neuroscience
• +۷ مورد دیگر

Prof. Dr. Karl R. Gegenfurtner is a full Professor for General Psychology at the Department of Psychology, Faculty of Psychology and Sports Science, Justus-Liebig-University Giessen. He has held this position since 2001 and leads a prominent research group on visual perception. His work bridges low-level sensory processing with higher cognitive functions and motor control. Education: Psychology Student at the University of Regensburg, Diploma in Psychology, 1986 Ph.D. in Experimental Psychology, New York University, 1990 Postdoc at Howard Hughes Medical Institute and Center for Neural Science, NYU, 1990–1993 Research Scientist at Max Planck Institute for Biological Cybernetics, Tübingen, 1993–2000 Habilitation in Medical Psychology and Behavioral Neurobiology, 1998 Professor for Biological Psychology, Otto-von-Guericke University Magdeburg, 2000–2001 His research focuses on the neural and cognitive mechanisms of visual perception, particularly color vision, object recognition, eye movements, and sensorimotor integration. He investigates how humans perceive complex scenes and objects in natural environments, how these are represented in the brain, and how visual information guides motor actions. His recent work explores topics such as color categorization in neural networks, lightness perception, dynamic size recalibration, and the role of eye movements in perceptual decisions. The 15 most recent articles reflect a strong trend toward understanding perception in real-world contexts, integrating computational modeling, psychophysics, and neuroscientific methods. Key themes include color and shape perception, attention, eye movement control, and the interplay between perception and action. Scientific Awards: Member, German National Academy of Sciences Leopoldina (2015) Wilhelm Wundt Medal, German Society for Psychology (2016) Palmer Lecture, Colour Group (UK) (2019) Turrell Lecture Berlin (2019) Russell Devalois Memorial Lecture, UC Berkeley (2024) ICVS Verriest Medal (2024) Pineapple Science Award (2024) Prof. Gegenfurtner has supervised numerous research projects and training networks, including the DFG Collaborative Research Center TRR 135 on 'Cardinal mechanisms of perception' and the International Research Training Group BrainAct. He has received major funding, including an ERC Advanced Grant (2020) for 'Color 3.0'. He has served on editorial boards of top journals such as Journal of Vision , Vision Research , and Psychological Review , and was President of the Vision Science Society (2012–2013). He is actively involved in academic service, including the Alexander von Humboldt Foundation’s fellowship selection committee. He leads the Visual Perception research group at Giessen, which investigates cortical mechanisms of vision, perception of natural scenes, and the integration of sensory and motor information. The lab employs psychophysical experiments, eye tracking, computational modeling, and neuroimaging to study perception in ecologically valid settings.

Kerem Bögeمشاهده پروفایل

پژوهشگر

• Clinical Psychology
• Psychotherapy Development
• Migration and Mental Health
• +۶ مورد دیگر

Kerem Böge is a clinical psychologist, researcher, and lecturer at Charité - Universitätsmedizin Berlin, where he leads the Psychotic Disorders Research Department. His work focuses on developing novel psychotherapeutic approaches for mental illnesses, particularly in migration contexts, and conducting interdisciplinary global health projects emphasizing capacity building, public attitudes, and stigma research in low- and middle-income countries. Primary Affiliation: Charité - Universitätsmedizin Berlin Research Themes: Migration and mental health, mindfulness-based interventions, digital mental health solutions, schizophrenia spectrum disorders Geographic Focus: Low- and middle-income countries, Vietnam, Germany Research Expertise Dr. Böge's research combines clinical practice with global health initiatives, exploring: Psychotherapeutic interventions for auditory hallucinations and negative symptoms Integration of oxytocin and mindfulness-based therapies Public attitudes toward mental illness across cultures Digital health tools for relapse monitoring and treatment engagement Cultural adaptation of diagnostic tools like the MINI-AR Publication Trends (2023-2025) His recent work emphasizes: Multicenter clinical trials for schizophrenia spectrum disorders Scientific analysis of mindfulness and empathy in psychosis Stigma research across Germany, Vietnam, India, and Turkey Development of culturally sensitive assessment tools Evaluation of digital mental health platforms Cross-national comparisons of treatment approaches Professional Context Dr. Böge operates in interdisciplinary spaces between clinical practice, research methodology, and global health policy. His roles include: Leading research on psychotic disorders Developing innovative treatment frameworks (PRoGO) Conducting cross-cultural studies on mental health literacy Training and education on mindfulness-based interventions Advocating for terminology reform in psychiatric diagnosis

• Human-Computer Interaction
• Autism Research and Assistive Technologies
• Mental Health Applications
• +۷ مورد دیگر

Hwajung Hong is an Associate Professor in the School of Interactive Computing at Georgia Institute of Technology's College of Computing. With a prolific publication record spanning from 2009 to 2025, Dr. Hong has established herself as a leading researcher at the intersection of Human-Computer Interaction, accessibility, and mental health applications. Her work frequently appears in top-tier venues including CHI, CSCW, and DIS, with growing emphasis on AI/LLM applications in recent years. Dr. Hong's research focuses on designing technology for vulnerable populations, particularly individuals with autism spectrum disorder, mental health challenges, and neurodiverse communities. Her early work centered on social computing applications for autism support, evolving toward more comprehensive systems addressing mental wellness, stress management, and relationship dynamics. Recent publications demonstrate a strategic pivot toward leveraging large language models for healthcare interventions, communication support, and bias mitigation. Analysis of her 15 most recent publications reveals a strong trajectory toward AI-mediated interventions across multiple domains - from mental health support for Korean investigative officers to communication tools for minimally verbal autistic children. Her work consistently emphasizes user-centered design, cultural sensitivity, and practical implementation in real-world contexts rather than purely theoretical approaches. Dr. Hong has mentored numerous graduate students who have become productive researchers in their own right, with Kwangyoung Lee, Dasom Choi, and Hyunseung Lim appearing as frequent collaborators on recent publications. Her research program demonstrates remarkable continuity in addressing human-centered challenges while adapting methodologies to incorporate emerging technologies.

• Construction Grammar
• Valency Theory
• Lexicography
• +۷ مورد دیگر

Thomas Herbst serves as a Professor in the Department of English and American Studies within the Faculty of Humanities, Social Sciences, and Theology at Friedrich Alexander University Erlangen-Nuremberg (FAU). With a distinguished career spanning over four decades, his research has significantly contributed to linguistic theory and practice. His current work focuses on advancing construction grammar frameworks and their practical applications in language learning and lexicography. Professor Herbst's research interests center on Construction Grammar, Valency Theory, and Lexicography, with particular emphasis on the intersection between lexical and syntactic patterns. His scholarly work explores how constructions—recurring patterns of language—shape meaning, communication, and language acquisition. He has pioneered approaches to constructing constructicons (comprehensive inventories of constructions) and has made significant contributions to understanding how valency patterns function in English and other languages. His research bridges theoretical linguistics with practical applications in language teaching, dictionary compilation, and translation studies, particularly examining how multimodal elements like gesture and accent contribute to meaning in audiovisual contexts. Analysis of his recent publications reveals a consistent trajectory exploring constructional networks, argument structure, and the practical implementation of construction grammar in language learning. His work increasingly focuses on digital applications of linguistic theory, including constructicon development and computational implementations. Herbst's research demonstrates a strong commitment to making linguistic theory accessible and applicable to language learners, teachers, and lexicographers, with particular attention to how constructions manifest in second language acquisition and dictionary usage. Throughout his extensive career, Professor Herbst has maintained an active role in academic service, editing journals and special issues that have shaped discourse in construction grammar and lexicography. His editorial work for publications like Zeitschrift für Anglistik und Amerikanistik and contributions to major reference works have provided essential platforms for scholarly exchange in his fields of expertise.

Katja Fiehlerمشاهده پروفایل

استاد

• Experimental Psychology
• Perception & Action
• Sensorimotor Integration
• +۴ مورد دیگر

Prof. Dr. Katja Fiehler holds the W3 Professorship for Experimental Psychology ("Perception & Action") at Giessen University since March 2020. She previously served as W2 Professor (2016-2020) and Heisenberg-Professor (2011-2016) at the same institution. Her research focuses on sensorimotor integration, tactile perception, and spatial cognition in naturalistic environments, particularly through virtual reality applications. Current roles: Speaker of Cluster Project "The Adaptive Mind" Leadership: Speaker of DFG IRTG-1901 "The Brain in Action" Member of directorate: DFG SFB/TRR-135 "Cardinal mechanisms of perception" Directorate member: Bender Institute for Neuroimaging (BION) Katja's research spans tactile suppression during action, spatial memory coding, and multimodal perception. Her team investigates how sensorimotor predictions modulate sensory processing, how aging affects motor-sensory integration, and the neural basis of allocentric/egocentric spatial representations. Recent publications show strong focus on virtual reality experiments, sensorimotor recalibration, and inter-effector coordination. Key themes include tactile perception modulation by movement demands, spatial cognition in naturalistic environments, and cross-modal metacognition. She leads the "Team Perception and Action" at Giessen University, which includes researchers like Dr. Belkis Ezgi Arikan, Dr. Tom Nissens, and Dr. Meaghan McManus. Her lab develops tools like vexptoolbox for VR-based human behavior studies.

Benedikt Ehingerمشاهده پروفایل

استادیار

• Computational Cognitive Science
• Visual Cognitive Science
• EEG Analysis
• +۵ مورد دیگر

Benedikt Ehinger is a Tenure-Track Professor for Computational Cognitive Science at the Stuttgart Center for Simulation Science (SC SimTech) and the Institute for Visualization and Interactive Systems (VIS) at the University of Stuttgart. His research bridges cognitive neuroscience, computational modeling, and visualization techniques to understand visual perception and decision-making processes. Education 2018: PhD in Cognitive Science from University of Osnabrück with thesis "Predictions, Decisions and Learning in the visual sense" 2013: Master of Science in Cognitive Science from University of Osnabrück with thesis "Filling in Blind-Spots: A psychophysical and an EEG study" 2011: Bachelor of Science in Cognitive Science from University of Osnabrück with thesis "Electrophysiological Correlates of Category Learning" Research Interests Ehinger's research focuses on the intersection of visual cognitive science, computational modeling, and neuroimaging techniques. His work primarily investigates predictive coding mechanisms in visual perception, statistical learning in visual scenes, eye movement control, method development for combined EEG and eye-tracking analyses, visual completion phenomena like the blind spot, and category learning and neural plasticity. His approach combines behavioral experiments, EEG recordings, eye-tracking, and advanced statistical modeling to uncover the computational principles underlying human visual cognition. Publication Trends Ehinger's publication record shows a clear evolution from foundational work on visual perception and category learning toward methodological innovations in neuroimaging analysis. His early work focused on visual completion phenomena, category learning, and melanopsin modeling. More recently, he has pioneered techniques for analyzing combined EEG and eye-tracking data, developing toolboxes like "unfold" that address critical challenges in temporal overlap correction and regression-based analysis. His research demonstrates a consistent thread of applying computational approaches to understand visual cognition while simultaneously advancing the methodological toolkit of cognitive neuroscience. Scientific Contributions Development of the "unfold" toolbox for overlap correction and regression-based EEG analysis Creation of the EEGVIS toolbox for EEG visualization Establishment of comprehensive eye-tracking test batteries for validating mobile eye-tracking devices Innovative approaches to modeling fixation durations and eye movement patterns Research Environment Ehinger leads the Computational Cognitive Science group within the Institute for Visualization and Interactive Systems at the University of Stuttgart. His work is situated at the intersection of cognitive science, neuroscience, and computer science, collaborating with researchers across these disciplines. His lab utilizes behavioral experiments, EEG, eye-tracking, and computational modeling to investigate visual cognition, with emphasis on open science practices and methodological transparency.

• Neuropsychology
• Behavioral Neurobiology
• Neuroimaging (fMRI/ERP)
• +۴ مورد دیگر

Manfred Herrmann is a Full Professor (C4) and Chair of the Department of Neuropsychology and Behavioral Neurobiology at the University of Bremen, affiliated with the Center for Cognitive Sciences (ZKW). He holds a dual background in medicine (M.D. 1992) and psychology (Ph.D. 1988), with habilitation in 1994. His academic career includes roles as Associate Professor at Magdeburg University and Visiting Professor at Berlin Free University. He leads the high-profile 'Minds.Media.Machines' initiative at Bremen. Education : - Diplom Psychology (1985, Freiburg University) - Ph.D. Psychology (1988, Freiburg University) - M.D. (1992, Freiburg University) - Ph.D. Philosophy (1993, Freiburg University) - Habilitation (1994). Research Interests : Focuses on neuropsychological mechanisms of decision-making, stress impact on cognition, neuroimaging (fMRI/ERP), and neurobiological underpinnings of addiction/obesity. Active in clinical neuropsychology, particularly stroke recovery and neuroprotection strategies. Articles Trends : Recent work examines brain activation patterns in food choice (dorsolateral prefrontal cortex), stress effects on decision-making, and neurobiological correlates of robotic agent design. His studies often bridge clinical and computational neuroscience. Awards : - Honorary Membership, Society for Neuropsychology (2023) - Honorary Research Associate, University of Sydney (1998). Labs & Teams : Directs the Department’s research group, collaborating with international institutions like the DFG Cluster of Excellence 'Languages of Emotion'. Engages in interdisciplinary projects merging cognitive science with robotics (e.g., 'Minds.Media.Machines').

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).

Sasan Matinfarمشاهده پروفایل

پژوهشگر

• Medical Sonification
• Sonic Interaction Design
• Extended Reality (XR)
• +۴ مورد دیگر

Sasan Matinfar is a research scientist at the Technical University of Munich (TUM), affiliated with the Chair of Computer Aided Medical Procedures (Prof. Navab) and the Munich Center for Machine Learning (MCML). He serves as scientific staff at Rechts der Isar Hospital, developing XR and sonification systems for surgical environments since 2020. His educational background includes: Master’s and Bachelor’s in Computer Science, Ludwig Maximilian University of Munich (LMU) Musicology, Franz Liszt University of Music, Weimar Piano Interpretation, Art University of Tehran Matinfar pioneers medical sonification and multisensory XR, creating auditory interfaces that convert tissue properties into sound for surgical guidance. His work in user-centered design produces clinically viable tools like the Ocular Stethoscope for retinal procedures and physics-based BioSonix frameworks, merging computer vision with perceptual audio engineering to enhance intraoperative precision without visual overload. Analysis of his 12 recent publications (2017-2025) reveals an evolving research arc from foundational surgical soundtracks to sophisticated context-aware sonification. Current work integrates generative AI with real-time tissue deformation modeling, focusing on multimodal frameworks where auditory feedback complements visual navigation in complex surgeries like cardiac interventions and retinal peeling. Key recognitions include: The Data Sonification Award (2025) MICCAI 2023 Best Paper Nominee (top 3% of submissions) MICCAI Young Scientist Award (2017, top 2% of papers) As an educator, Matinfar mentors students through TUM courses including Medical Augmented Reality (WS 2025/26) and Surgical Robotics, while co-organizing the Medical Augmented Reality Summer School and IEEE ISMAR 2025’s MIX Workshop. His patented technologies emerge from collaborations with Politecnico di Milano, TU Dresden’s CeTI, and Balgrist Hospital Zurich, securing interdisciplinary grants in surgical data science. Matinfar operates within TUM’s NARVIS Lab for medical image analysis and RobUSt for robotics-ultrasound integration, leveraging the German Heart Center Munich (DHM) infrastructure to validate XR systems in live surgical workflows and advance vision-language models for intraoperative decision support.

• Implicit Psychological Assessment
• Social Categorization and Prejudice
• Expectation Violations
• +۳ مورد دیگر

Prof. Dr. Sarah Teige-Mocigemba serves as University Professor and Head at the Department of Psychological Diagnostics (Teige-Mocigemba Group) within the College of Psychology at Philipps-University of Marburg. She holds a W3 professorship in psychological diagnostics since 2023, having declined a similar position at Albert-Ludwigs-University Freiburg in the same year. Current affiliation: Philipps-University of Marburg Academic rank: Full Professor Research focus: Implicit psychological processes in attitudes, stereotypes, self-concept, and systemic approaches to psychological diagnostics Research Interests: Her work centers on developing and analyzing implicit psychological assessment methods, including: Theoretical analyses of implicit procedures Construct-independent factors affecting implicit measures Social categorization and prejudice Prejudice reduction interventions Expectation violations and stereotype maintenance Context effects in psychological assessment Systemic approaches to psychological diagnostics (in collaboration with Beatriz Arias Martin) Publication Trends: Her 15 most recent articles (2004-2025) demonstrate consistent focus on: Implicit bias measurement techniques Validation of psychological assessment tools Expectation violation models Prejudice and stereotype research Cognitive processes in aggression Online self-assessment methodologies Scientific Awards: Notable recognitions include: Spokesperson for DFG Graduate College 2271 (2017-2026) Brigitte-Schlieben-Lange Program Stipend (2017) Baden-Württemberg Foundation Postdoctoral Grant (2011-2014) Eugen-Fink Early Career Award (2009) Academic Leadership: She supervises doctoral students Paul Bacher, Violetta Biermann, and Kiara Roth. Her research team includes Dr. Manuel Becker and Dr. Massimo Köster. She has served in various academic governance roles including: Mentor in ProProfessur Mentoring Program (since 2022) Chair of the Equal Opportunities Commission (since 2020) Member of the Steering Committee for Graduate College 2271 (since 2019) Member of Marburg's Faculty Council (2018-2022)