جست‌وجوی استاد و پژوهشگر

Santiago Villarreal-Narvaezمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Gestural Interaction
• Augmented Reality
• +۳ مورد دیگر

Santiago Villarreal-Narvaez is a postdoctoral researcher at the University of Namur's Namur Digital Institute (NADI), focusing on Human-Computer Interaction (HCI), gestural interaction, and augmented reality. He holds a Ph.D. in Engineering Science (2023) from Jean Monnet University, France, and previously taught software development as a Professor at Universidad de Las Américas. His collaborations include the SI2 Lab-UDLA (ePHoRt project) and LouRIM (UCLouvain) on ECA MecaTech and CARDIAMMONIA. Bachelor's in Computer Science, 2007 Master's in Web Intelligence, 2010 Ph.D. in Engineering Science, 2023 His research explores gesture elicitation studies, multimodal interface development, and radar-based gesture recognition. Recent work emphasizes XR environments and ring-based wearable devices. Gesture Elicitation Studies Wearable Technology Augmented Reality Multimodal Interfaces User-Centered Design Scientific recognition includes: Best Paper Award, 2019 LouRIM Research Excellence Award, 2021 SIGCHI Gary Marsden Travel Award, 2022 He has contributed to gesture vocabulary design, radar interface development, and semantic search applications in HCI. Current projects leverage these domains for vehicular XR and multi-finger wearable devices.

Nikita Soniمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Interaction Design
• Computer-Supported Collaborative Work
• +۵ مورد دیگر

Nikita Soni is an Assistant Professor in the Department of Computer Science at the University of Illinois Chicago. She is a Human-Computer Interaction (HCI) researcher whose work intersects natural user interfaces, human-AI interaction, interaction design, creativity-support tools, and learning sciences. B.Tech in Electronics and Communications from Jaypee University of Engineering and Technology (2015) MS in Computer Science from University of Florida (2016) Ph.D. in Human-Centered Computing from University of Florida (2021) Her research focuses on designing natural user interfaces for education and creativity technologies, particularly for children and adults. She investigates mental models and interaction behaviors with novel technologies, developing applications that support learning and creative expression. Key projects include the TIDRC framework for children's touchscreen design and collaborative exploration of geospatial data on spherical displays. The articles highlight her work on spherical display interactions in educational settings (2021) and children's touchscreen design guidelines (2019). Both demonstrate her focus on user-centered design for educational technology and collaborative learning environments. Honorable Mention, ACM CSCW 2021 She actively mentors students across disciplines and has secured funding from NASA (Illinois Space Grant Consortium), Microsoft Research, and Adobe Research. Her lab, the ELiCIT Lab, develops next-generation interaction technologies for education and creativity.

Dor Abrahamsonمشاهده پروفایل

استاد

• Mathematical cognition
• Design-based research
• Embodied interaction
• +۷ مورد دیگر

Dor Abrahamson is a Professor of Learning Sciences and Human Development in the Graduate School of Education at the University of California Berkeley. He directs the Embodied Design Research Laboratory (EDRL) and has established himself as a leading design-based researcher in the field of mathematics education. His work bridges cognitive science, socio-cultural theory, and embodiment paradigms to create innovative learning environments that transform how students understand mathematical concepts. Abrahamson's research focuses on the relationship between physical action and conceptual learning, with particular emphasis on how embodied interaction facilitates mathematical understanding. His work spans intensive quantities like ratio, likelihood, and slope, as well as early algebra concepts. He develops experimental technological materials and activities that have potential for scale-up, while simultaneously refining theoretical constructs in the learning sciences and developing frameworks for educational design. His current projects include developing embodied-interaction technological systems for the guided reinvention of mathematical concepts, with recent work involving computer-embedded animated avatars that incorporate naturalistic gesture in face-to-face mathematics tutoring. Analysis of Abrahamson's recent publications reveals a strong focus on multimodal learning approaches, with significant attention to how gesture, eye-tracking, and physical manipulation contribute to mathematical understanding. His work increasingly integrates learning analytics, complex systems theory, and inclusive design principles, particularly in developing educational technologies for diverse learners. The research demonstrates a consistent trajectory toward understanding the micro-dynamics of learning through embodied interaction while creating practical educational interventions. National Academy of Education/Spencer Postdoctoral Fellowship for Seeing Chance Co-recipient of NSF grants for developing naturalistically gesturing interactive pedagogical avatars Co-recipient of NSF grants for fostering children's productive dispositions toward failure when programming Best Submission—Dr. Arthur I. Karshmer Award for Assistive Technology Research Finalist, Best Paper, IJCCI 2021 Abrahamson has secured significant research funding including NSF grants for developing gesturing avatars and for understanding how children approach programming failures. His work emphasizes collaborative, interdisciplinary research that brings together experts from education, cognitive science, movement science, and computer science. He has mentored numerous doctoral students and collaborators who have gone on to contribute significantly to the field of educational design. The Embodied Design Research Laboratory operates as a hub for innovative research that combines theoretical rigor with practical educational applications. The Embodied Design Research Laboratory (EDRL) represents a multi-disciplinary approach to educational design, inspired by the belief that all students can deeply understand mathematics. EDRL projects involve creating mixed-media materials that are iteratively refined based on empirical studies of student multimodal behaviors including speech, gesture, and eye-gaze. The lab has produced numerous technological innovations including motion sensor applications, touch screen interfaces, and agent-based simulations that support embodied mathematical learning.

Friedrich W. Hesseمشاهده پروفایل

استاد

• Digital Media in Education
• Artificial Intelligence in Learning
• Collaborative Learning
• +۷ مورد دیگر

Friedrich W. Hesse is the Scientific Director of the Research Cluster Digitization, Diversity and Lifelong Learning at FernUniversität in Hagen since 2020 and was its Founding Director in 2019. He previously held leadership roles, including Scientific Vice President of the Leibniz Association (2010–2018) and Founding Director of the Leibniz Institute for Knowledge Media (IWM). His research focuses on learning with digital media , leveraging Artificial Intelligence for personalized learning, mitigating information processing biases (e.g., confirmation bias), and enhancing computer-assisted collaboration through group awareness and multi-touch technologies. His work explores the physical design of digital teaching/learning settings , integrating real and virtual spaces. Recent publications emphasize collaborative problem solving , decision-making under cognitive load , and social dynamics in digital education . He has secured funding from the DFG , BMBF , EU , and Leibniz Association . Scientific Awards: Fellow of the International Society of the Learning Sciences (ISLS) Hesse serves on advisory boards for institutions like the Humboldt Institute for Internet and Society and Global Learning Council (GLC). His academic journey includes a chair in Applied Cognitive and Media Psychology at the University of Tübingen (1999–2019) and a habilitation at Göttingen University (1989).

CLEMENTE COBOS SANCHEZمشاهده پروفایل

استاد

• Transcranial Magnetic Stimulation (TMS)
• Biomedical Imaging
• Biosignal Processing
• +۳ مورد دیگر

Clemente Cobos Sánchez is a Professor at the University of Cádiz, Spain, affiliated with the Department of Automation, Electronics, Architecture and Computer Networks Engineering. His research focuses on Transcranial Magnetic Stimulation (TMS) coil design , Biomedical Imaging , and Biosignal Processing . He leads projects related to electromagnetic design at the TIC138 research group. Primary Affiliation : University of Cádiz Department : Automation, Electronics, Architecture and Computer Networks Engineering Research Group : TIC138 Electronic and Electromagnetic Design Research Highlights: His work spans from theoretical mathematical optimization (e.g., nonconvex set minimization, operator norm analysis) to applied biomedical engineering (TMS depth optimization, concurrent TMS-fMRI systems). Recent publications also touch on space engineering applications, including magnetoresistive sensors for CubeSats and low-noise magnetic measurement systems. Scientific Trends: Combines computational electromagnetics with medical device innovation, applying advanced mathematical frameworks to both neurostimulation and space instrumentation challenges. His articles show interdisciplinary expertise in boundary element methods , multi-objective optimization , and inverse problem solving .

Leyla Isikمشاهده پروفایل

استادیار

• Computational Cognitive Neuroscience
• Vision
• Social Perception
• +۳ مورد دیگر

Leyla Isik is the Clare Boothe Luce Assistant Professor at Johns Hopkins University in the Department of Cognitive Science within the Krieger School of Arts and Sciences. She serves as Director of Graduate Admissions and leads the Isik Lab, which is affiliated with the Kavli Neuroscience Discovery Institute and Data Science and AI Institute. PhD in Cognitive Science from MIT Postdoctoral research at MIT and Harvard's Center for Brains, Minds, and Machines Her research focuses on computational cognitive neuroscience , particularly how the human brain extracts social information from visual inputs. Key areas include social perception , neural networks , and AI-human comparisons . The lab develops models like SocialGNN to understand social interaction recognition. Recent work examines dynamic social vision , action recognition , and social touch processing . Publications span journals like Nature Communications , eLife , and PLoS Computational Biology . The lab uses neuroimaging , intracranial recordings , and machine learning to study social cognition in neurotypicals and autistic individuals. Scientific contributions include: Relational visual representations underlie human social interaction recognition (Nature Communications, 2023) Multimodal deep neural networks disentangle language from visual aesthetics (preprint, 2023)

Matthias Böhmerمشاهده پروفایل

استاد

• Human-Computer Interaction
• Mobile Computing
• Distributed Information Systems
• +۴ مورد دیگر

Prof. Dr. Matthias Böhmer is a Professor of Computer Science at Technische Hochschule Köln (Cologne University of Applied Sciences), where he leads the Ubiquitous Media Technology Lab (UMTL) and builds the new lab for mobile and distributed information technology. His academic journey includes positions as an HCI researcher at the German Research Center for Artificial Intelligence (DFKI) in Saarbrücken (2011-2013), research associate at Münster University of Applied Sciences (2007-2010), and a stint at Microsoft Research, Redmond (summer 2012). Prior to academia, he worked in product design at Deutsche Telekom in Bonn (2013-2015). His research focuses on building mobile and distributed information systems with particular interest in understanding and supporting mobile app usage and innovative connected products. His educational background includes a Bachelor of Science in Applied Computer Science (2005) and Master of Science in Information Technology (2007), both from Münster University of Applied Sciences, followed by a PhD from Saarland University's Graduate School of Computer Science with dissertation work on 'Understanding and Supporting Mobile Application Usage'. Prof. Böhmer's publication record spans over a decade with significant contributions in Human-Computer Interaction, particularly in mobile computing interfaces, foldable device interactions, and spatial awareness technologies. His recent work (2023-2024) demonstrates innovative approaches to mobile interaction, including electrotactile feedback systems, foldable smartphone applications, and website aesthetics prediction using deep learning. His research shows a clear trajectory from understanding basic mobile usage patterns to developing sophisticated interaction techniques for emerging mobile form factors. Among his notable achievements is the Honorable Mention Award received in 2023 for his work on extending rotary knob interaction through multi-touch grasp recognition, demonstrating recognition of his innovative contributions to input device design. Prof. Böhmer actively supervises student research as evidenced by BA-Kolloquium announcements for students like Max Teetz, Joel Neumann, Andreas Schurawlev, and Robert Kellermann, with recent work focusing on mobile computing applications, foldable device interfaces, and IoT systems.

Fan Wangمشاهده پروفایل

استاد مدعو

• Neuroscience
• Neural Circuits
• Pain Research
• +۴ مورد دیگر

Fan Wang is an Adjunct Professor in the Department of Neurobiology at Duke University since 2021. She is also a Faculty Network Member of the Duke Institute for Brain Sciences (2008–Present) and an Affiliate of the Duke Regeneration Center (2021–Present). Her research focuses on the neural circuit basis of sensory perception, including active touch sensation , pain processing , and anesthesia-induced unconsciousness . Using genetic, viral, electrophysiological, and in vivo imaging techniques, her lab investigates tactile motor control, pain suppression mechanisms, and consciousness modulation. Ph.D., Columbia University (1998) Research trends in recent publications span neural circuit mapping , AI-driven drug design , and medical imaging innovations . Key areas include anesthesia mechanisms , pain suppression pathways , 3D dental modeling , and GABAergic neuron function in the brain stem. Collaborative work extends to computational toxicology , graph neural networks , and green pesticide design using machine learning. Scientific recognition includes the AAAS Fellowship (2014) and the Sloan Research Fellowship in Neuroscience (2004). Media coverage highlights breakthroughs such as the discovery of a potent pain-suppression center in the brain (2020) and advancements in cortical parcellation (2022). Her grants include multiple National Institutes of Health awards (1997–2022) and support from the W.M. Keck Foundation (2016–2018). Labs and teams at Duke, including the Duke Institute for Brain Sciences , collaborate on projects spanning neuroanatomy , computational biology , and environmental toxicology . Current work integrates AI tools for cortical parcellation, protein-ligand affinity prediction , and multi-agent reinforcement learning for biomedical applications.

Rebecca Toddمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Human Cognition and Emotion
• Neurophenomenology
• +۶ مورد دیگر

Rebecca Todd is an Associate Professor in UBC's Department of Psychology within the Faculty of Arts, and a member of the Centre for Brain Health. She specializes in cognitive neuroscience with a focus on the interaction between emotion and cognition in health and psychopathology. Her research employs brain imaging methods and laboratory experiments to investigate how we process affective salience and how this influences perception, learning, and memory. Dr. Todd earned her PhD in Developmental Science and Neuroscience from the University of Toronto in 2008. Prior to her academic career in neuroscience, she was a contemporary dance choreographer and journalist, which has informed her unique interdisciplinary approach to studying cognition through movement and interaction. Her research program focuses on neurocognitive processes underlying the interaction between human emotion and cognition. She investigates how we process affective salience (emotional/motivational importance) of objects and events, and how this influences perception, learning, and memory. Her work examines individual differences in how we filter the world to perceive specific categories of salient events (threatening vs. rewarding), how such filters develop over time, and their consequences for emotional health. Specific programs include investigation of neurocognitive processes underlying effects of acute stress on attention, learning, and memory, and attentional biases predicting treatment outcomes in depression. Dr. Todd's recent publications show an evolving research trajectory that increasingly integrates participatory sensemaking, ecological approaches to cognition, and multidisciplinary perspectives. Her work spans cognitive neuroscience, clinical applications, dance cognition, and embodied approaches to understanding how we interact with our environment. The breadth of her research demonstrates a commitment to understanding cognition as embedded in real-world contexts rather than isolated laboratory settings. Michael Smith Foundation for Health Research Scholar Award (2017) CIHR New Investigator Award (2016) Dr. Todd leads the Motivated Cognition Lab at UBC, where she employs a multi-method approach including EEG, fMRI, psychophysiology, eye tracking, and genotyping to assess how common genetic variations interact with life experience to shape brain activity. Her lab investigates how these interactions influence emotional filters for perceiving and remembering. She is affiliated with MATRIX-N: Multidisciplinary Alliance for Translational Research and Innovation in Neuropsychiatry, reflecting her commitment to interdisciplinary collaboration. While she is not currently accepting graduate students, her research continues to advance understanding of the neurocognitive basis of emotional experience and its impact on cognition.

• Retail Management
• Digital Marketing
• Consumer Behavior
• +۶ مورد دیگر

Dr. Kirthi Kalyanam serves as Professor of Marketing at Santa Clara University's Leavey School of Business, where she holds dual leadership roles as Executive Director of the Retail Management Institute and Director of Internet Retailing. Her work bridges academic research with industry practice through Lucas Hall-based initiatives focused on retail innovation and digital transformation. Her research program centers on experimental investigations of digital marketing phenomena, with particular expertise in advertising effectiveness, multi-channel consumer behavior, and technology-driven retail disruptions. She employs advanced methodologies including field experiments, regression discontinuity designs, and machine learning to analyze consumer responses to advertising content, app crashes, subscription models, and business-to-business marketing scenarios. Her work consistently addresses practical retail challenges through data-driven insights. Analysis of her recent publications (2016-2025) reveals a methodological progression toward sophisticated experimental designs examining cross-channel effects, behavioral targeting, and technology failures. Her research demonstrates consistent focus on causal relationships in digital marketing, with increasing emphasis on business-to-business contexts and longitudinal advertising effects, while maintaining strong industry relevance through partnerships with major technology platforms. As Executive Director of the Retail Management Institute, she leads strategic initiatives connecting academic research with retail industry stakeholders through collaborative projects, executive education, and thought leadership programs focused on emerging retail technologies and consumer behavior trends.

• Neuroinformatics
• Cognitive Robotics
• Tactile Sensing
• +۴ مورد دیگر

Prof. Dr. Helge Ritter is a distinguished Professor at the University of Bielefeld, holding multiple key positions across several departments and research centers. He is primarily affiliated with the Faculty of Engineering as part of the Neuroinformatics Group, and also serves as a CITEC Coordinator at the Center for Cognitive Interaction Technology. His work spans the Faculty of Psychology and Sport Science in the Department of Psychology (Unit 01 - Neurocognitive Psychology), and he contributes to the Joint Research Center on Cooperative and Cognition-enabled AI. His academic journey has positioned him at the forefront of interdisciplinary research that bridges engineering, cognitive science, and robotics. As a member of the Habilitation Committee and serving as Personal Deputy for Prof. Dr.-Ing. Ulrich Rückert on the Examination Boards for Biomechatronics (Master), he plays a significant role in academic governance and curriculum development. Research Interests Prof. Ritter's research spans the cutting-edge intersection of neuroinformatics, robotics, and artificial intelligence. His work focuses on cognitive robotics , tactile sensing systems , and human-robot interaction , with particular emphasis on how machines can perceive and interact with the physical world through touch and movement. His investigations into modular neural architectures and biologically inspired learning systems have significant implications for both theoretical neuroscience and practical robotics applications. His current research trajectory demonstrates a strong focus on transfer learning between simulation and reality , multi-fingered manipulation , and adaptive kinematic modeling . These efforts contribute to the broader Socio-Technical World research area at Bielefeld University, which 'researches capabilities and mechanisms that enable agents such as humans, robots and AI to act, communicate and learn in complex environments.' Academic Contributions Coordinator at the Center for Cognitive Interaction Technology (CITEC) Member of the Habilitation Committee in the Faculty of Engineering Personal Deputy for Examination Boards in Biomechatronics (Master) Contributor to the Joint Research Center on Cooperative and Cognition-enabled AI Prof. Ritter's work exemplifies Bielefeld University's commitment to 'Transcending Boundaries' between disciplines, people, and science and society. His research bridges theoretical neuroscience with practical robotics applications, creating innovative solutions for human-robot collaboration and cognitive systems.

Chris Harrisonمشاهده پروفایل

دانشیار

• Human-Computer Interaction
• Wearable Computing
• Augmented/Virtual Reality
• +۴ مورد دیگر

Chris Harrison is an Associate Professor of Human-Computer Interaction at Carnegie Mellon University , where he directs the Future Interfaces Group . His research focuses on creating novel sensing and interface technologies to enable new modes of human-computer interaction in domains like smart environments , wearable computing , and augmented/virtual reality . Research Interests include: Haptic Feedback Systems Wearable and Ubiquitous Computing Novel Input Modalities Sensor Fusion Techniques Privacy-Preserving Interaction XR (AR/VR) Interface Design Recent Research Trends show strong emphasis on: Mid-air and wearable haptics using synthetic jets (2024) Infrastructure-free tracking in multi-user AR/VR (2023-2025) Electroosmotic pump-based shape-changing interfaces (2023-2024) IMU and UWB sensor fusion for pose estimation (2020-2023) Privacy-respecting sensing techniques (2018-2021) Contact: chris.harrison@cs.cmu.edu | Future Interfaces Group Website

Paul Stephen Cedernaمشاهده پروفایل

استاد

• Plastic Surgery
• Biomedical Engineering
• Peripheral Nerve Surgery
• +۴ مورد دیگر

Paul Stephen Cederna, M.D., is the Robert Oneal Collegiate Professor of Plastic Surgery and a Professor in the Department of Biomedical Engineering at the University of Michigan. Since 1999, he has been a full-time academic surgeon and director of the Neuromuscular Research Laboratory, integrating clinical excellence with cutting-edge research in reconstructive surgery and neuroengineering. Education and Training: Bachelor of Science in Biomedical Engineering, University of Michigan College of Engineering M.D., University of Michigan Medical School Residency in General Surgery, University of Iowa Hospitals and Clinics Fellowship in Microsurgery, University of Iowa Hospitals and Clinics Plastic Surgery Fellowship, University of Michigan Health System Postdoctoral Research Fellowship, Muscle Mechanics Lab, University of Michigan Research Interests: Dr. Cederna’s research spans three core areas: muscle dysfunction following reinnervation, peripheral nerve reconstruction, and development of peripheral nerve interfaces for upper extremity prosthesis control. His lab pioneers regenerative peripheral nerve interfaces (RPNIs) to restore natural limb function and mitigate chronic postamputation pain. He integrates biomedical engineering with surgical innovation to advance neuroprosthetic control and sensory feedback systems. Clinical and Scientific Impact: He has authored over 180 peer-reviewed manuscripts, 24 book chapters, and delivered more than 600 presentations globally. His work has attracted over $24 million in direct research funding. He has mentored 60 students, 40 research fellows, and 15 postdoctoral fellows across biomedical engineering and physiology. Scientific Awards and Honors: Best Doctors in America America’s Top Plastic Surgeons America’s Most Compassionate Doctors Marquis Who’s Who in America America’s Top Surgeons Over 65 national research awards as first author or mentor Leadership and Service: Dr. Cederna has served as Chairman of the Plastic Surgery Research Council, President of the American Society for Peripheral Nerve, President of the Michigan Academy of Plastic Surgeons, and on the Board of Directors for the American Board of Plastic Surgery and the American Society of Plastic Surgeons. He has also served as President of the Plastic Surgery Foundation. Laboratory and Teams: He directs the Neuromuscular Research Laboratory at the University of Michigan, leading a multidisciplinary team of engineers, surgeons, and neuroscientists. The lab is a hub for translational research in neuroprosthetics, muscle regeneration, and peripheral nerve repair.

Alessandro Ronconeمشاهده پروفایل

استادیار

• Human-Robot Interaction
• Robotics
• Artificial Intelligence
• +۶ مورد دیگر

Alessandro Roncone is an Assistant Professor in the Computer Science Department at the University of Colorado Boulder, directing the Human Interaction and RObotics (HIRO) Group. He holds dual roles as Chief Technology Officer (CTO) of Lab0, a logistics-focused startup, and academic researcher. His work focuses on human-robot interaction (HRI), artificial intelligence, and robot control, aiming to create robots that collaborate naturally with humans in unstructured environments. Education: B.Sc. (Summa Cum Laude) in Biomedical Engineering (2008), M.Sc. (Summa Cum Laude) in NeuroEngineering (2011) from Università degli Studi di Genova, Italy. Ph.D. in Robotics, Cognition, and Interaction Technologies (2015) from Istituto Italiano di Tecnologia (IIT) and Università degli Studi di Genova. Postdoctoral research at Yale University (2015-2018) and IIT (2011-2014). Research Interests: Developing human-aware robotics systems through advancements in tactile sensing, motion planning, and AI-driven decision making. Key areas include peripersonal space modeling, collaborative manipulation, and robot autonomy in dynamic environments. His work emphasizes scalable, robust systems with applications in manufacturing, healthcare, and logistics. Awards: Best Technical Paper Award at HRI 2023; IIT Researcher of the Week (2013, 2014); IEEE Spectrum Video Friday feature for tactile calibration work. Over 50 peer-reviewed publications in top venues like ICRA, IROS, HRI, and IEEE Transactions. Grants: Lead on $3.5M in funding including Army Research Lab (ARL) grants for human-AI teaming research, NSF Institute on Student-AI Teaming ($20M), and CU Boulder interdisciplinary research initiatives. Lab & Leadership: HIRO Group at CU Boulder with ~20 students. Projects include tactile skin design (GenTact Toolbox), collaborative robotics (HRC Model Set), and AI-driven HRI systems. Active in startup development through Lab0, focusing on industrial autonomy solutions.

• Multimodal Interaction
• Educational Technology
• Cognitive Psychology
• +۷ مورد دیگر

Dr. Birgit Brucker is a Researcher and Deputy Head of the Multimodal Interaction Lab at the Leibniz Institute for Knowledge Media (IWM) in Tübingen. She also serves as Scientific Coordinator for the Mixed Reality Lab and Multi-Touch Lab within the institute's Future Innovation Space. Her research focuses on innovative interaction media such as virtual reality and multi-touch interfaces to enhance learning in scientific, artistic, and movement-related domains. Key interests include the mirror neuron system's role in learning, cognitive impacts of hand proximity to digital interfaces, and AI's potential and risks in educational writing scenarios. Brucker holds a Psychology diploma (2007) and a PhD (2012) from Eberhard Karls University of Tübingen. Her doctoral work investigated static and dynamic visualizations' roles in understanding complex scientific phenomena. She has led projects on AI-supported creative writing, museum digitalization, and immersive educational technologies. Her research spans cognitive psychology, educational technology, and neuroeducational studies. Notable projects include analyzing Nazi propaganda image retention (2025), immersive video learning experiences (2025), and neural mechanisms of spatial perspective-taking (2023). She has published extensively in journals like Computers in Human Behavior and Computers & Education. Brucker collaborates with institutions like the Leibniz Research Alliance on materials safety and teacher education networks (MINT-ProNeD, KuMuS-ProNeD). Her work bridges cognitive science, educational design, and emerging technologies to advance interactive learning environments.