جستجوی استاد راهنمای دانشگاهی

Cassandra Wienerمشاهده پروفایل

دانشیار

• Criminal Law
• Domestic Abuse
• Coercive Control
• +۴ مورد دیگر

Dr. Cassandra Wiener is a Reader in Law at City, University of London, where she serves as Director of The City Law School. Her academic work centers on criminal law reform, particularly in domestic abuse, coercive control, and violence against women. She holds an MA (Distinction) and PhD from the University of Sussex, a GDL/LPC (Distinction) from the University of Law, and a BA Hons from the University of Manchester. Her research investigates criminal justice responses to domestic abuse, emphasizing the articulation of coercive control in legislation. She developed strategic guidelines for policing domestic rape adopted in England and Wales' National Operating Model (2023), and co-led the Home Office-funded Operation Bluestone/Soteria. Her interdisciplinary work bridges legal theory, policy implementation, and survivor advocacy, influencing global law reform efforts. Wiener's publications demonstrate consistent focus on coercive control dynamics, legal frameworks, and policing innovations. Her 2023 monograph, Coercive Control and the Criminal Law , synthesizes key research, while recent articles address intimate partner violence investigation challenges, legislative gaps in sexual offenses, and international policy comparisons. Her work consistently highlights victim-centered approaches and systemic barriers in criminal justice. Awards recognizing her impact include: Police Commendation from Avon & Somerset Police (2024) Research Project of the Year Award with Prof. Katrin Hohl (2024) Adam Weiler Impact Award (2021) Impact Award from the Sentencing Council (2017) She advises governments globally, including the UK Home Office, Domestic Abuse Commissioner, and international bodies in Australia, Canada, and France. Current projects include developing CPS guidelines for domestic sexual offense prosecutions and campaigning for sentencing reform. She co-founded and co-directs the Criminal Justice and Human Rights Centre, fostering collaboration between policymakers, practitioners, and academics.

Hanna Kiri Gunnمشاهده پروفایل

دانشیار

• Applied Ethics
• Technology Ethics
• Social Epistemology
• +۷ مورد دیگر

Hanna Kiri Gunn is an Associate Professor of Applied Ethics in the Philosophy Department at the University of California, Merced, within the School of Social Sciences, Humanities and Arts. Previously, she served as a Mellon Assistant Professor of Philosophy at Vanderbilt University during the 2018-2019 academic year. Gunn completed both her PhD and MA in Philosophy at the University of Connecticut between 2013 and 2018. Her scholarly work spans two primary research domains: applied ethics focused on technology, new media, and the broader internet; and social epistemology examining normative epistemology, public discourse, epistemic agency, and the health of epistemic communities. Gunn teaches courses in ethics and technology, bioethics, and epistemology, bringing theoretical frameworks to bear on contemporary issues in digital culture. Gunn's publications reveal a consistent focus on the ethical and epistemological challenges posed by digital technologies, with special attention to how online environments shape our cognitive and social practices. Her work demonstrates how algorithmic curation, personalization, and digital communication practices affect individual epistemic agency and collective knowledge formation. Among her notable contributions are collaborative projects including the edited volume 'Gaslighting: Philosophical Approaches' (2025), and the paper 'Near-Term Artificial Intelligence and the Ethical Matrix' (2020) co-authored with data scientist Cathy O'Neil. She has also contributed to the 'TEQ Deck' project with the UCSC Center for Public Philosophy, creating educational card games about technology ethics, and co-organizes PhilMod, a research group examining philosophical implications of content moderation. Gunn maintains active engagement beyond academia, having become a UCCE Master Gardener of Mariposa County in May 2024, demonstrating her commitment to practical community engagement alongside her theoretical work.

• Sensory control of locomotion
• Active sensing in insects
• Insect sense of touch
• +۳ مورد دیگر

Volker Dürr is a Professor of Biological Cybernetics at Bielefeld University , Faculty of Biology, and a member of the Center for Cognitive Interaction Technology (CITEC) . His work focuses on sensory control of locomotion , active tactile sensing in insects , and biomimetic modeling of movement systems. Education : Habilitation in Zoology (University of Cologne, 2008; Bielefeld, 2005), PhD in Biology (Bielefeld, 1998), Diploma in Biology (Tübingen, 1994) Academic Career : Professor at Bielefeld (2009-present), Junior Research Group Leader (University of Cologne, 2007-2009), Research Assistant (Bielefeld, 1998-2006) His research investigates how insects use antennal mechanosensory systems and proprioception to control locomotion in complex environments. Key themes include goal-directed movements , sensorimotor integration , and biomimetic robotics . Publications emphasize tactile sensing (15/23 articles), neural control of movement (9/23), biomechanical modeling (7/23), and cross-species locomotion analysis (4/23). Recent work explores virtual reality paradigms for locomotion studies and spiking neural networks for proprioceptive modeling.

Peter DiGennaroمشاهده پروفایل

استاد

• Molecular Plant Nematology
• Root-Knot Nematode (Meloidogyne spp.) Pathogenesis
• Plant-Parasitic Nematode Diagnostics
• +۵ مورد دیگر

Peter DiGennaro serves as Professor in the Department of Plant Pathology at the University of Wisconsin-Madison's College of Agricultural and Life Sciences, where he leads research on molecular mechanisms of plant-nematode interactions. His program integrates genomic, biochemical, and AI-driven approaches to address agricultural challenges posed by root-knot nematodes. Education: B.S. in Biochemistry, State University of New York at Geneseo (2007) Ph.D. in Functional Genomics, NC State University (2013) Research Focus: Dr. DiGennaro's laboratory investigates root-knot nematode pathogenesis with emphasis on nematode signaling molecules (particularly C-terminally Encoded Peptides) that manipulate plant nitrogen assimilation and form specialized feeding sites. His team employs temporal transcriptomics to map diurnally regulated gene networks during infection and develops monoclonal antibody diagnostics for field applications. Recent work increasingly incorporates deep learning for nematode identification in complex samples and examines climate change impacts (elevated CO2) on nematode-plant interactions. Research Trends: Analysis of his 2021-2025 publications reveals three converging trajectories: (1) Molecular dissection of nematode effectors influencing plant nutrition, (2) AI/bioinformatics integration for nematode diagnostics and management, and (3) Expansion into zoonotic nematode systems (e.g., Trichinella , Pseudoterranova ) with food safety applications. His work consistently bridges fundamental mechanisms with agricultural solutions, particularly for tomato and cowpea systems. Educational Impact: Dr. DiGennaro actively engages students through Course-Based Undergraduate Research Experiences (CUREs) and developed the university's online DNA Day program, which significantly improved high school students' science perceptions. His outreach extends to rural Florida high schools through plant health career initiatives and the Plant Disease Diagnostics Clinic's public services. Laboratory Infrastructure: Based in Russell Laboratories, his research leverages UW-Madison's Plant Pathology core facilities for genomic sequencing, proteomics, and nematode culturing. Collaborations span entomology (parasitoid genomics), plant breeding (cowpea diversity), and data science teams to address complex nematology challenges.

• Robotics and Autonomous Systems
• Robot Perception and Learning (RoPAL)
• Simultaneous Localisation and Mapping (SLAM)
• +۷ مورد دیگر

Dr Ze Ji is Reader of Robotics and Autonomous Systems at Cardiff University’s School of Engineering, where he leads the Robotics and Autonomous Intelligent Machines (RAIM) group and directs the Robotics and Autonomous Systems Laboratory. He is Co-Investigator and theme leader for the ERDF-funded IROHMS research centre and holds a Royal Academy of Engineering Industrial Fellowship hosted by Spirent Communications Ltd. Education PhD in Engineering, Cardiff University (2007) – EU FP6 TAI-CHI project MSc, Cardiff University BEng, Cardiff University Research Interests Dr Ji’s research centres on Robot Perception And Learning (RoPAL) , spanning: Simultaneous localisation and mapping (SLAM) Deep reinforcement learning for navigation and manipulation Human-robot collaboration & digital-twin based fatigue management Vision, tactile sensing, and smart sensing systems Unmanned surface vehicles (USVs) and UAV coordination Physics-based differentiable simulation for elastoplastic material handling Publications Trend Since 2021 Dr Ji has authored >120 peer-reviewed papers. A dominant theme is mapless navigation via hierarchical and preference-based reinforcement learning for ground, aerial and surface robots. Parallel streams investigate human-centric manufacturing (digital twins for fatigue-aware assembly), vision-based tactile sensing, defect detection on steel, and orchard robotics (green-fruit segmentation), all underpinned by deep learning and rigorous real-world validation. Scientific Awards & Fellowships Royal Academy of Engineering Industrial Fellowship EU FP6 Best Exhibit Prize, Helsinki 2006 (TAI-CHI project) Fellow of the Higher Education Academy (FHEA) Grants & Centres Principal Investigator, EPSRC-funded differentiable physics project (2025) Co-Investigator, IROHMS (ERDF/WEFO) Industrial Fellowship with Spirent Communications Ltd Laboratory & Facilities Dr Ji manages the Robotics and Autonomous Systems Laboratory , housing two KUKA LBR iiwa robots, Robotnik Vogui+, three KUKA YouBots, TurtleBots, drones, advanced 3-D vision systems, and sensors. The lab has also produced two student-built USVs (unmanned surface vehicles) for maritime research.

Kevin Harmonمشاهده پروفایل

استادیار

• User Experience (UX)
• Decision Making
• Information Systems
• +۵ مورد دیگر

Kevin Harmon serves as Assistant Professor in the Information Systems Department at the University of Arkansas' Walton College of Business. His research examines system delays' impact on user performance and experience across diverse technological contexts, bridging psychology and information systems. Education: Ph.D. in Management Information Systems, Texas Tech University (2022) MBA, Texas Tech University (2020) M.S. in Data Science, Texas Tech University (2018) M.A. in Psychology, Texas Tech University (2015) B.S. in Psychology, Truman State University (2012) Dr. Harmon's research integrates cognitive psychology with information systems to investigate latency effects on human-technology interaction. His work spans NeuroIS, UX design, and IT gender gap analysis, revealing critical insights about decision-making under system constraints and demographic disparities in technology careers. Current projects examine how artificial delays affect fake news credibility and neural adaptation during performance degradation. As an educator, he teaches Business Analytics to MBA and Executive MBA students, emphasizing data-driven decision frameworks. His scholarly contributions appear in premier journals including Management Information Systems Quarterly and Journal of the Association for Information Systems , where he also serves as ad-hoc reviewer. Research trends in his 12 most recent publications (2013-2024) demonstrate consistent focus on cognitive aspects of human-computer interaction, evolving from foundational memory studies toward contemporary NeuroIS investigations of system latency. His work increasingly incorporates intersectional analysis of gender/ethnicity in IT careers while maintaining rigorous experimental methodology. Dr. Harmon actively contributes to academic discourse through editorial reviews and professional membership in the Association for Information Systems, advancing methodological standards in information systems research.

Tianmin Shuمشاهده پروفایل

استادیار

• Machine Social Intelligence
• Embodied AI
• Human-Robot Interaction
• +۷ مورد دیگر

Tianmin Shu is an Assistant Professor in the Department of Computer Science at Johns Hopkins University's Whiting School of Engineering, with a secondary appointment in the Department of Cognitive Science. He directs the Social Cognitive AI (SCAI) Lab and is a member of the Data Science and AI Institute. Dr. Shu's educational background includes: PhD in Statistics, University of California, Los Angeles (2019) BS in Electronic Engineering, Fudan University (2014) Dr. Shu's research pioneers machine social intelligence to build human-centered AI systems. His work integrates: Embodied AI for physical-world human-robot collaboration Neurosymbolic methods for multimodal social reasoning Computational models of human social cognition Theory of Mind frameworks for mental state inference Continual learning for adaptive social agents Recent publications (2024-2025) reveal three dominant research thrusts: (1) Multimodal Theory of Mind systems like MMToM-QA for mental state reasoning, (2) Embodied assistance frameworks such as GOMA for goal-oriented human-robot alignment, and (3) Human feedback learning methods including pragmatic feature preferences. His work increasingly bridges language models with world models while exploring neural correlates of social cognition through fMRI studies. Dr. Shu's scientific contributions have been recognized with prestigious awards: Cognitive Science Society’s 2017 Computational Modeling Prize 2020 NeurIPS Best Paper Award (Cooperative AI Workshop) 2022 IROS Workshop Excellent Paper Award 2024 ACL Outstanding Paper Award (MMToM-QA) As director of the SCAI Lab, Dr. Shu leads research on socially intelligent systems through open-source platforms including VirtualHome 2 (multi-agent household simulator) and SimWorld (photorealistic interaction simulator). His lab develops computational frameworks that enable machines to perceive social dynamics, infer intentions, and provide context-aware assistance in complex environments.

Shane Saundersonمشاهده پروفایل

استادیار

• Human-Robot Interaction
• Social AI Agents
• Anthropomorphism
• +۵ مورد دیگر

Dr. Shane Saunderson serves as an Assistant Professor of Information Systems at McMaster University's Degroote School of Business. His interdisciplinary expertise bridges robotics, psychology, and business strategy through his leadership of the Research on Artificial Persons (RAP) Lab. His educational background includes a PhD in robotics with psychology specialization from the University of Toronto, an MBA in technology and innovation from Toronto Metropolitan University, and a B.Eng. in mechanical engineering from McGill University. As a former Vanier Scholar and Massey College Junior Fellow, he brings significant academic distinction to his role. Research focuses on human interactions with social machines, particularly examining trust, persuasion, and anthropomorphism in contexts involving robots, chatbots, and digital avatars. His work investigates how these artificial persons occupy a unique ontological space between objects and living beings, employing mixed-method approaches to ensure ethical technology integration. Recent publications demonstrate growing influence in human-robot interaction, with increasing emphasis on AI ethics and social implications. Vanier Scholar Junior Fellow with Massey College Industry experience significantly shapes his academic perspective, including founding Artificial Futures (digital strategy firm), serving as VP of Technology at Idea Couture (consulting for Ford, Samsung, Eli Lilly), and supporting startups like Babbly. He chairs the Microsoft Canada Artificial Intelligence Partner Advisory Board (aiPAB), maintaining strong industry-academia connections. His RAP Lab serves as the primary research vehicle for investigating social AI implications.

Liz Hirshornمشاهده پروفایل

استاد

• Psycholinguistics
• Reading Cognition
• Individual Differences in Skilled Reading
• +۵ مورد دیگر

Liz Hirshorn is a Professor in the Department of Psychology at the State University of New York at New Paltz, where she directs the Diversity in Language Lab (DiLL). Her research employs behavioral and EEG methodologies to investigate individual differences in skilled reading and cognitive interactions, with particular focus on alternative pathways to literacy that challenge conventional reading models. Her research program centers on psycholinguistics and cognitive neuroscience, specifically examining how skilled reading develops through variable cognitive routes. Key projects include comparing English and Chinese reading processes to identify shared cognitive mechanisms between distinct writing systems, and investigating relationships between reading and face processing to understand lifelong neuroplasticity. Her work has significant implications for understanding struggling readers and developing alternative literacy interventions. Dr. Hirshorn actively advises thesis students in psycholinguistics using behavioral or EEG methodologies, with recent projects exploring music-reading skill relationships and attentional differences in video game players. Her lab emphasizes experimental approaches to cognitive psychology with applications to educational contexts. She maintains an active publication record spanning cognitive neuroscience, psycholinguistics, and reading research, with recent work focusing on holistic word processing, bilingual reading, and neuroplasticity in deaf populations. Her research demonstrates consistent methodological rigor through combined behavioral and neuroimaging approaches.

• Biometrics
• Digital forensics
• Face recognition
• +۷ مورد دیگر

Christoph Busch is Professor at the Department of Information Security and Communication Technology , Norwegian University of Science and Technology (NTNU), Gjøvik, Norway. He leads research on trustworthy biometric systems, digital forensics, and privacy-preserving technologies. His research spans biometrics , face recognition , presentation-attack detection , synthetic-data generation , homomorphic encryption , and deepfake detection . Recent work focuses on morphing-attack detection, fairness-aware quality assessment, and secure template protection. He employs deep learning, vision transformers, and cryptographic techniques to build robust, privacy-centric identity systems. Professor Busch has co-authored over 60 peer-reviewed articles (2020-2025) in leading venues such as Nature Reviews Electrical Engineering , IEEE Transactions on Information Forensics and Security , IEEE Access , and Applied Cognitive Psychology . A clear trend is the integration of synthetic data to improve generalisation and fairness, alongside advancing attack-detection capabilities against morphing and deepfake threats. He serves on editorial boards and conference organising committees, including BIOSIG and IET Biometrics, and is actively involved in European biometrics policy discussions. He mentors a growing team of doctoral and master’s researchers working on next-generation secure identity technologies.

Jason Raphael Rambachمشاهده پروفایل

پژوهشگر

• Computer Vision
• Augmented Reality
• Robotic Vision
• +۷ مورد دیگر

Dr. Jason Raphael Rambach is a Senior Researcher and Deputy Director at the German Research Center for Artificial Intelligence (DFKI) in Kaiserslautern, leading the team "Spatial Sensing and Machine Perception." His work focuses on Scene Perception and Reasoning using Machine Learning, with affiliations spanning Computer Vision, Augmented Reality, and Robotics. Education Diploma in Computer Engineering, University of Patras, Greece (2012) M.Sc. in Information and Communication Engineering, Technical University of Darmstadt, Germany (2014) PhD in Computer Science, University of Kaiserslautern (2020) Dr. Rambach's research bridges Object Pose Estimation , Semantic Scene Understanding , Hybrid AI , and Robotic Vision . His publications (50+ in top conferences) and projects like EU Horizon HumanTech highlight AI applications in construction and recycling. Recent articles analyze symmetry ambiguity resolution, spherical image segmentation, and radar-camera fusion. Scientific Awards CVPR 2025 Outstanding Reviewer Best Paper Award, ISMAR 2017 Five BOP Challenge Awards (ECCV 2022, ICCV 2023) Best Industrial Paper, ICPRAM 2024 Scan2BIM Third Place (CVPR2023, CVPR2024) As a coordinator of EU Horizon HumanTech and contributor to projects like COPPER, BERTHA, KIMBA, and TWIN4TRUCKS, Dr. Rambach integrates AI into industrial workflows. He reviews for CVPR, T-PAMI, ECCV, ICCV, and organizes workshops on AI in Construction Robotics.

Klaus Muellerمشاهده پروفایل

استاد

• Visualization
• Visual Analytics
• Data Science
• +۱۲ مورد دیگر

Klaus Mueller is a Professor in the Department of Computer Science at Stony Brook University, where he also serves as Interim Chair of the Department of Technology and Society. He holds adjunct faculty positions in the Biomedical Engineering Department and Radiology Department, and is a Senior Scientist at the Computational Science Initiative at Brookhaven National Laboratory. His research spans visualization, visual analytics, explainable AI, computational fairness, and medical imaging, with significant contributions to volume rendering, GPU computing, and virtual reality. Dr. Mueller received his educational credentials from prestigious institutions: PhD in Computer and Information Science, The Ohio State University, 1998 MS in Computer and Information Science, The Ohio State University, 1996 MS in Biomedical Engineering, The Ohio State University, 1990 BS in Electrical Engineering, Polytechnic University of Ulm, Germany, 1987 Professor Mueller's research focuses on making complex data accessible and understandable through innovative visualization techniques. His work in visual analytics empowers users to explore high-dimensional data spaces, while his contributions to explainable AI help bridge the gap between complex machine learning models and human understanding. In medical imaging, he has pioneered GPU-accelerated reconstruction techniques that significantly improve CT imaging while reducing radiation exposure. His recent work explores the intersection of large language models with visualization, creating tools that enhance data understanding through natural language interaction. His extensive publication record shows a consistent focus on visualization techniques, with recent work increasingly incorporating AI and machine learning components. The trend shows a progression from foundational visualization techniques to more complex applications involving explainable AI, fairness in algorithms, and medical imaging applications. His work often bridges theoretical advances with practical implementations, particularly through GPU acceleration. Dr. Mueller's scientific achievements have been recognized with numerous prestigious awards: US National Science Foundation CAREER award (2001) SUNY Chancellor Award for Excellence in Scholarship and Creative Activity (2011) Inducted into the National Academy of Inventors (2018) Golden Core Award, IEEE Computer Society (2016, 2022) Meritorious Service Certificate, IEEE Computer Society (2016) IEEE Fellow (2024) Best Paper Award, IEEE Visual Data Science Symposium (2019) His research has been generously supported by major funding agencies including the National Science Foundation (NSF), National Institutes of Health (NIH), Department of Energy (DOE), and Department of Homeland Security (DHS), as well as private industry partners. As Editor-in-Chief of IEEE Transactions on Visualization and Computer Graphics (2019-2022), he has shaped the direction of visualization research globally. He has advised numerous PhD students whose work has advanced the field of visual analytics and medical imaging. Dr. Mueller directs the Visual Analytics and Imaging (VAI) Lab at Stony Brook, which focuses on developing innovative visualization techniques for complex data analysis. The lab has been instrumental in creating tools for medical imaging, security applications, and data science. His team has developed frameworks for smoke and fire simulation, visual analytics for healthcare, and GPU-accelerated medical imaging algorithms. The lab fosters interdisciplinary collaboration between computer scientists, medical researchers, and domain experts to solve real-world problems through visualization.

• Clinical psychology
• Psychiatry
• Cognitive and brain science
• +۵ مورد دیگر

Hiroaki Kumano is a Professor at Waseda University's Faculty of Human Sciences, Department of Psychology, with expertise in clinical psychology, psychiatry, and cognitive brain science. Holding a PhD in Medical Science from The University of Tokyo (1985), he has established himself as a leading researcher with 158 publications and an h-index of 42 according to Google Scholar. PhD of Medical Science, The University of Tokyo Faculty of Medicine (1985) Professor Kumano's research focuses on the intersection of clinical psychology and neuroscience, particularly examining social anxiety, mindfulness interventions, self-compassion, and attentional processes. His work combines traditional psychological approaches with cutting-edge neuroscientific methods including fNIRS, EEG, and transcranial static magnetic field stimulation. He has made significant contributions to understanding self-focused attention as a maintenance factor in social anxiety disorder and has developed innovative interventions targeting procrastination in ADHD populations and headache management. His publication record shows consistent productivity with 15+ publications annually, demonstrating expertise across multiple domains including social anxiety treatment, mindfulness-based interventions, cognitive assessment tools, and the neural correlates of psychological processes. Recent work has explored how transcranial static magnetic field stimulation can reduce self-focused attention in socially anxious individuals and how procrastination interventions can benefit university students with ADHD tendencies. Professor Kumano actively mentors numerous researchers and clinicians, with several of his students becoming prominent contributors in their own right. His work bridges clinical practice and research, developing practical assessment tools like the Japanese versions of SAPAS and WAAQ that have direct clinical applications. His research has strong translational value, moving from basic mechanisms to clinical interventions. He has contributed significantly to clinical guidelines, including the Social Anxiety Disorder Treatment Guidelines, and has established collaborations across multiple institutions. His laboratory appears to focus on the integration of cognitive behavioral approaches with neuroscientific methods to develop more effective, mechanism-based interventions for anxiety and mood disorders.

• Intelligent Machine
• Human Symbiotic Humanoid Robot
• Anthropomorphic Robotic Hand
• +۵ مورد دیگر

Hiroyasu Iwata is Professor at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering. He serves as Director of the Frontier Mechanical Engineering Research Institute and Director of Global Robot Academia Institute. Holding a Dr. Engineering degree from Waseda University, his research spans intelligent machines, medical robotics, and rehabilitation engineering, with over 256 publications and an h-index of 22. His research focuses on human-robot symbiosis with emphasis on humanoid robotics, tactile perception, and medical applications. Iwata develops systems for rehabilitation, tele-operated medical procedures, and human-coordinated machine systems that enhance human capabilities. His recent work explores VR applications for cognitive rehabilitation, particularly for stroke patients with spatial neglect, and human augmentation through supernumerary robotic limbs. Iwata's publications reveal strong interdisciplinary trends across medical robotics, virtual reality applications, and human augmentation technologies. His research bridges engineering and medical fields with particular focus on stroke rehabilitation, echocardiography robotics, and VR training systems for cognitive and physical rehabilitation. Best Paper Award, Robotics Society of Japan (2018) Multiple Outstanding Presentation Awards from Society of Instrument and Control Engineers (2017) Grand Prize, System Control Fair 2017 Executive Committee (2017) The Young Scientists' Prize from Minister of Education, Culture, Sports, Science and Technology (2009) Distinguished Achievement Award from Waseda University (2007) Iwata actively collaborates with medical institutions including Nippon Medical School through joint symposia on medical-science-engineering collaboration. His laboratory conducts research on robotic echocardiography, VR rehabilitation systems, and supernumerary robotic limbs, securing funding for projects that translate engineering innovations into medical applications. He directs the Frontier Mechanical Engineering Research Institute and Global Robot Academia Institute at Waseda University, fostering interdisciplinary collaboration between engineering and medical fields. Through the Nippon Medical School and Waseda University Joint Symposium series, his work promotes the integration of robotics, medicine, and engineering for clinical applications.

• Computer Graphics
• Interactive Environments
• Visualization
• +۴ مورد دیگر

Prof. Dr. André Hinkenjann is the Founding Director of the Institute for Visual Computing and holds a Research Professorship in Computer Graphics and Interactive Systems at Bonn-Rhein-Sieg University of Applied Sciences. His research spans computer graphics, interactive environments, and visualization, with applications in VR/AR, digital twins, and scientific data analysis. He leads multidisciplinary projects funded by institutions like BMBF and Zukunftsfonds NRW. His research integrates: Computer Graphics : Real-time global illumination, foveated rendering, and GPU optimization Interactive Systems : Haptic interfaces, large-display collaboration, and spatial interaction techniques Applied VR/AR : From trauma therapy to industrial training and cultural heritage preservation Recent publications emphasize mixed-reality interaction, neural rendering, and perceptual optimization, reflecting a consistent focus on bridging theoretical graphics with human-centered applications. His lab frequently contributes to high-impact venues like ACM SIGGRAPH, IEEE VR, and Eurographics. Notable projects under his direction include: PInBiM: Gamified citizen science for museum-based insect research DT4MP: Digital twins for urban/industrial multiphysics simulations GTN: State-wide network advancing game technology in NRW Witality: VR for sensory wine analysis