جست‌وجوی استاد و پژوهشگر

Andrew Tollisonمشاهده پروفایل

دانشیار

• Health Communication
• Interpersonal Communication
• Quantitative Research Methods
• +۶ مورد دیگر

Andrew Tollison serves as Associate Professor of Communication and Media and Director of the Master of Arts in Communication program at Merrimack College, where his research examines critical dynamics in health communication. Based in Cushing Hall 208, he investigates patient-provider interactions with emphasis on cancer trajectories, health literacy, and stereotype threat phenomena in medical settings. His educational foundation includes: Ph.D. in Communication, University of Texas at Austin M.S. in Communication, University of Tennessee, Knoxville B.S. in Communication, University of Tennessee, Knoxville Dr. Tollison's scholarship centers on communicative coping mechanisms during chronic illness, particularly how self-relevant stereotypes affect medical information exchange. His work spans quantitative analyses of health literacy in consent documentation to qualitative explorations of cancer communication work. Recent research extends to digital health contexts including pandemic vaccine hesitancy and concussion education efficacy. Analysis of his publication record reveals three dominant trajectories: (1) longitudinal examination of cancer communication across diagnostic, treatment, and survivorship phases; (2) stereotype threat manifestations in non-traditional healthcare roles; and (3) innovative applications of communication theory to health campaign design. His 2021-2025 publications demonstrate increasing engagement with contemporary crises including the COVID-19 pandemic and digital media's evolving role in health information ecosystems. Recognition for scholarly excellence includes: Top Paper Award, Southern States Communication Association (2017) Top Four Paper Awards at National Communication Association (2011) Outstanding Assistant Instructor, UT Austin (2010) Outstanding Lecturer, UT Knoxville (2007) As MA program Director, he develops experiential learning opportunities where students design health campaigns through classroom collaborations. His pedagogical innovations earned national recognition, including publication in Pedagogy in Health Promotion . While specific grant funding isn't detailed in source materials, his consistent publication in premier journals like Patient Education and Counseling and Health Communication demonstrates sustained research productivity. Current work focuses on pre-diagnosis uncertainty management and digital media's impact on health agency.

• Biomedical Informatics
• Clinical Natural Language Processing
• Machine Learning
• +۳ مورد دیگر

Serguei V Pakhomov is a Professor in the Pharmaceutical Care and Health Systems department at the University of Minnesota . His research focuses on clinical natural language processing, biomedical informatics, and machine learning applications in healthcare. He actively contributes to translational science through collaborative projects funded by NIH and other institutions.

Shun Liuمشاهده پروفایل

پژوهشگر

• Predictive Processing
• Speech Perception
• Language Comprehension
• +۳ مورد دیگر

Shun Liu is a Grant-Aided Researcher and visiting postdoctoral researcher in the Department of Psychology within the Faculty of Educational Sciences and Psychology at the University of Jyväskylä. His research focuses on cognitive mechanisms underlying speech and language processing in the human brain. His primary research interests center on predictive processing frameworks, speech perception dynamics, and language comprehension systems. He investigates how acoustic-level mechanisms operate across voice onset time continua and examines the interplay between working memory loads and linguistic prediction processes using neuroimaging and behavioral methodologies. Recent publications reveal consistent specialization in cognitive neuroscience and psycholinguistics, with emphasis on acoustic speech processing mechanisms and memory-load effects on language prediction. His work demonstrates methodological integration of neuroimaging techniques with experimental paradigms to explore real-time language processing. Liu actively contributes to the Active Mind Research Group, which investigates neural information processing during interpersonal communication. As a grant-aided researcher, he secures external funding for projects examining brain mechanisms in speech perception and language comprehension, with ongoing work focusing on predictive coding models in auditory cognition.

Constantinos Tzafestasمشاهده پروفایل

دانشیار

• Robotics
• Cognitive Assistive Robotics
• Human-Robot Interaction
• +۶ مورد دیگر

Constantinos (Costas) S. Tzafestas is an Associate Professor of Robotics at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA). With over 160 scientific publications, he has established himself as a leading researcher in assistive robotics and human-robot interaction, particularly in applications for elderly care and medical assistance. Electrical and Computer Engineering Degree from NTUA (1993) D.E.A. in Robotics from Université Pierre et Marie Curie (Paris 6) (1994) Ph.D. in Robotics from Université Pierre et Marie Curie (Paris 6) (1998) Professor Tzafestas's research focuses on cognitive assistive robotics and human-robot interaction, with special emphasis on haptics and telerobotics applications in medical and surgical robotics. His work spans intelligent robot control, interactive motion planning, and robot learning for advanced manipulation, with applications in mobile and field robotics. His research is strongly oriented toward practical implementations that address real-world challenges in elderly assistance and healthcare. The analysis of Professor Tzafestas's recent publications reveals a strong focus on assistive technologies for elderly care, particularly robotic rollators and bathing assistance systems. His work consistently integrates advanced machine learning techniques with human-centered design principles, emphasizing real-world usability and effectiveness. The research shows progression from fundamental robotics concepts toward increasingly sophisticated, user-adaptive systems that respond to individual user needs and capabilities. Professor Tzafestas serves as an Executive Board Editor of the Journal of Intelligent and Robotic Systems, contributing to the scholarly community through editorial leadership. Project Coordinator for numerous European and national research projects Principal Investigator for multiple robotics initiatives Scientific Manager for collaborative research efforts His laboratory work centers around several key research projects including Softgrip, i-Walk, BabyRobot, ISupport, and Mobot, which collectively represent a comprehensive approach to developing intelligent robotic systems for assisted living, with particular emphasis on mobility assistance and personal care for elderly populations.

Teresa do Carmo Sousa Magalhães Barbosaمشاهده پروفایل

استادیار مهمان

• Digital Health
• Health Information Systems
• Telemedicine
• +۴ مورد دیگر

Teresa do Carmo Sousa Magalhães Barbosa serves as a Visiting Assistant Professor at the National School of Public Health (ENSP) of NOVA University Lisbon, where she coordinates courses in Hospital Administration, Digital Health, and Artificial Intelligence in Health. Her academic role is complemented by active research leadership within the Comprehensive Health Research Center (CHRC) and Centro de Investigação em Saúde Pública (CISP/PHRC). Her research spans digital health transformation , with emphasis on telemedicine, predictive modeling (particularly in cardiology), and health information systems. The fingerprint analysis of her work reveals strong concentrations in myocardial infarction management (100%), hospital length-of-stay optimization (86%), and machine learning applications (63%). Recent publications demonstrate a clear trend toward integrating AI with clinical decision-making, especially in heart failure management and transfusion safety systems. Her scientific contributions include 72 research outputs since 2012, with accelerating productivity (15 publications in 2022, 14 in 2024). While no specific awards are documented, her work garners significant scholarly attention with 26 Mendeley readers for key articles. She actively mentors graduate students in digital health projects and leads the Health Information Management Group of the Portuguese Association of Hospital Administrators. Professional experience includes executive healthcare leadership as former Chair of the Portuguese Red Cross Hospital, Board Member at Setúbal Hospital Center, and Innovation Advisor at North Lisbon Hospital Center. Her industry background includes senior consultancy at Accenture, bridging academic research with practical healthcare administration.

Thomas Fritzمشاهده پروفایل

دانشیار

• Software Engineering
• Human-Computer Interaction
• Developer Productivity
• +۴ مورد دیگر

Prof. Dr. Thomas Fritz is an Associate Professor of Human Aspects of Software Engineering at the University of Zurich's Department of Informatics within the Faculty of Business, Economics and Informatics. His research focuses on empirically studying software developers through biometric sensing and interaction analysis to enhance productivity and wellbeing. Key domains include developer productivity analytics, interruptibility detection using physiological sensors, and context-aware developer tools. Research interests center on: Developer Productivity/Personal Analytics: Measuring and improving developer efficiency through activity monitoring Biometric Sensing: Using physiological data (e.g., heart rate, EEG) to predict code quality and emotional states Information Needs: Modeling developers' contextual requirements during coding tasks His publications predominantly explore human factors in software engineering, with recurring themes of biometric sensing, developer productivity, and human-centered tool design. Recent work shows increased focus on VR applications for workspace optimization and real-time stress detection in knowledge workers. Awards and honors include: Honorable Mention Awards at CHI 2017 and CHI 2018 ACM SIGSOFT Distinguished Paper Award (2010) 3rd Place in ACM Student Research Competition (2010) He leads the Human Aspects of Software Engineering (HASE) Lab and has advised over 20 PhD/Master's students. Research is funded by Swiss National Science Foundation grants, ABB Software Research Grants, NSERC Collaborative Research grants, and Microsoft SEIF Awards. Current projects include emotion-aware development environments and VR-based productivity tools.

• Biosensors
• Bioanalytical Instrumentation
• Label-free Optical Detection
• +۴ مورد دیگر

Dr. Shaopeng Wang serves as an Associate Professor with a joint appointment in the School of Biological and Health Systems Engineering (SBHSE), the Biodesign Center for Bioelectronics and Biosensors (BCBB), and the School of Medicine and Advanced Medical Engineering at Arizona State University. He is endorsed to chair PhD programs in Biomedical Engineering, Electrical Engineering, Biological Design, Chemistry, Biochemistry, and Physics, demonstrating his interdisciplinary impact across multiple scientific domains. Dr. Wang's research focuses on developing innovative biosensors and bioanalytical instrumentation for biomedical applications, with particular expertise in label-free optical detection methods. His laboratory has pioneered plasmonic scattering microscopy and other optical/electrochemical sensing techniques that enable real-time, label-free measurement of molecular interactions and cellular dynamics. His work bridges fundamental biophysics with practical healthcare applications, addressing critical needs in biomedical research, drug discovery, and point-of-care diagnostics. Analysis of Dr. Wang's recent publications reveals a strong trend toward single-entity analysis, point-of-care diagnostics, and the integration of artificial intelligence with optical sensing technologies. His research demonstrates increasing sophistication in quantifying molecular binding kinetics at the single-molecule level while expanding applications to clinical settings such as antimicrobial susceptibility testing, heart failure monitoring, and diabetes management. The progression from basic sensing principles to clinically relevant diagnostic tools represents a hallmark of his research trajectory. Dr. Wang maintains an active research program with multiple NIH-funded projects including 'Plasmonic scattering microscopy for high-throughput in-situ quantification of molecular binding kinetics on single cells' (R01GM140193) and 'Evaluation of optical imaging as a single platform to determine size, charge, and mobility of biomolecules' (Lonza Biologics). His collaborative approach extends to partnerships with Mayo Clinic and industry leaders in the biosensor field. Dr. Wang mentors a comprehensive research group comprising postdoctoral researchers, PhD students across multiple disciplines, master's students, and undergraduates. His laboratory serves as a training ground for the next generation of bioengineers and biosensor developers, with students working on projects spanning from fundamental biophysics to clinical diagnostics. The Bioelectronics and Biosensors Center at ASU provides state-of-the-art facilities supporting his team's innovative work in optical sensing and single-molecule analysis.

Timothy Bonomoمشاهده پروفایل

استاد

• Business Administration
• Customer Service
• Marketing
• +۲ مورد دیگر

Timothy Bonomo serves as a Professor at Corning Community College, where he teaches core business courses including Principles of Business, Principles of Management, Principles of Marketing, Small Business Management, and Human Resource Management. His pedagogical approach integrates theoretical frameworks with experiential learning to provide students with practical, real-world understanding. His academic credentials include: M.S.Ed. in Adult and General Education (Dual Master's Degree) from Elmira College B.S. in Interdisciplinary Communications and Business Administration from SUNY Brockport A.S. in Liberal Arts from Corning Community College Professor Bonomo's professional expertise centers on business administration with specialized focus on customer service excellence, marketing strategies, human resource development, and small business operations. His courses emphasize proven, time-tested methodologies that transform students' comprehension of contemporary business environments. His distinguished professional recognitions include: Robert J. Uplinger Distinguished Service award Wegman's SuperStar Customer Service award CCC Faculty Kate Danforth Red Baron Award Paramount Studio's Feature Film Marketing Award Beyond academia, he is the author of "Aiming for Excellence: Customer Service", an internationally recognized speaker on customer service, and executive producer of the award-winning feature film "Going Up". He also maintains active involvement as a business owner, bridging academic theory with entrepreneurial practice.

Eric C. Sungمشاهده پروفایل

استاد

• Dentistry
• Dental Materials
• Special Patient Care
• +۵ مورد دیگر

Dr. Eric C. Sung is a Professor of Clinical Dentistry at the University of California, Los Angeles (UCLA) School of Dentistry. He serves as Chair of the Section of Special Patient Care and Maxillofacial Prosthetics and is the inaugural holder of the Momentum Endowed Chair in Special Patient Care. His clinical practice is based in the maxillo-facial clinic at UCLA in CHS A0-156. Dr. Sung earned his B.A. in Biochemistry from the University of California, Berkeley (1986), followed by a D.D.S. from UCLA (1990), and completed a two-year General Practice and Hospital Dentistry Residency at UCLA (1992). His research focuses on dental materials and the treatment of medically complex patients, particularly those with cancer, cardiac conditions, and other systemic diseases. Dr. Sung's work bridges the gap between medicine and dentistry, emphasizing integrated healthcare approaches for vulnerable patient populations. His research spans multiple disciplines including oncology dentistry, cardiac dentistry, and pharmacological complications in dental care. Analysis of Dr. Sung's publication history reveals a consistent focus on the intersection of dentistry with complex medical conditions. His recent work demonstrates expertise in managing dental care for cardiac patients, cancer survivors, and those experiencing medication-related complications like osteonecrosis of the jaw. He has also pioneered research in dental materials science, particularly with nanodiamond-embedded thermoplastic biomaterials, and has recently explored the integration of artificial intelligence in dental patient monitoring. Dr. Sung teaches courses CL403.30, CL403.10, CL404.10, as well as multiple systems courses. He leads the Salvation Army Selective and teaches in the postgraduate General Practice Residency program at UCLA, training future dental professionals in the care of complex patients. His scholarly contributions have practical implications for improving patient outcomes, developing evidence-based clinical guidelines, and advancing dental materials technology. Dr. Sung's work helps ensure that patients with complex medical conditions receive comprehensive, coordinated care that addresses both their medical and dental needs.

• Anesthesiology
• Perioperative Medicine
• Neuroanesthesia
• +۳ مورد دیگر

Kaiying Zhang, MD, serves as a Clinical Assistant Professor in the Department of Anesthesiology at McGovern Medical School, University of Texas Health Science Center at Houston. Board certified by the American Board of Anesthesiology, she specializes in perioperative care for both pediatric and adult populations with clinical fluency in Chinese and English enabling comprehensive patient communication. Education Physician Educator Program Certificate, University of Texas Health Science Center at Houston McGovern Medical School M.D., Capital Medical University Research Expertise Dr. Zhang's scholarly work centers on cerebral near-infrared spectroscopy applications for real-time brain oxygenation monitoring during surgical procedures. Her research bridges anesthesiology and neuroscience to optimize neuroprotective strategies, with particular emphasis on vulnerable pediatric patients and complex adult cases requiring precise hemodynamic management. Publication Impact Her influential 2018 Cochrane review established evidence-based protocols for NIRS implementation in perioperative settings, significantly advancing safety standards in cerebral oximetry monitoring across diverse surgical contexts. Professional Credentials American Board of Anesthesiology Certification

• Statistics
• Order Statistics
• Econometrics
• +۲ مورد دیگر

Sharmishtha Mitra is a Professor in the Department of Mathematics and Statistics at the Indian Institute of Technology Kanpur. She specializes in Statistics with research interests in Order Statistics, Order estimation of nested non-linear models, and Econometrics. PhD from IIT Kanpur (1997) M.Sc. in Statistics from IIT Kanpur (1991) B.Sc. in Statistics (Honours) from Presidency College, Kolkata (1989) Dr. Mitra's research focuses on theoretical and applied statistics, particularly in Order Statistics and its applications across various fields. Her work bridges mathematical theory with practical applications in econometrics and signal processing, demonstrating sophisticated statistical methodologies applied to real-world problems. Her publication record shows consistent contributions to statistical theory, with a focus on order statistics, parameter estimation, and econometric modeling. The research demonstrates progression from theoretical foundations to practical applications in economics and engineering domains. National Scholarship, University of Calcutta Research Fellowship, Indian Statistical Institute National Board for Higher Mathematics (NBHM) Research Award CSIR Research Award Dr. Mitra has taught a comprehensive range of statistics courses including Linear Models & Estimation, Regression Analysis, Analysis of Variance, Order Statistics & Non-Parametric Inference, and Econometrics. Her professional journey shows steady progression from Research Officer at the Reserve Bank of India to her current position as Professor at IIT Kanpur. Her research collaborations, particularly with D. Kundu, have produced significant contributions to statistical methodology development with applications in reliability analysis, survival analysis, and economic modeling.

Ingemar Fredrikssonمشاهده پروفایل

استاد مدعو

• Biomedical Optics
• Microcirculation Assessment
• Medical Technology
• +۲ مورد دیگر

Ingemar Fredriksson is an Adjunct Professor at the Department of Medical Technology, Linköping University, with a unique role bridging academic research and industrial innovation. He works at Perimed AB, a company specializing in microcirculation assessment tools developed from IMT research. Civilingenjör (MSc) in Computer Engineering, Linköping University (2004) Doctoral degree in Biomedical Instrumentation, Linköping University (2009) Docent in Biomedical Science, Linköping University (2019) His research focuses on model-based biomedical optics , using computational models and optimization to extract detailed microvascular data from optical measurements. This work extends traditional laser Doppler and diffuse reflectance spectroscopy by enabling absolute flow quantification, oxygen saturation mapping, and vessel-type-specific analysis. Recent publications highlight his work on multi-exposure laser speckle contrast imaging and multispectral imaging for real-time, high-resolution microcirculation mapping. These methods are integrated into Perimed's PF 6000 EPOS system, combining perfusion and oxygen saturation measurements. Current efforts involve transitioning from point measurements to camera-based imaging systems for spatially resolved clinical assessment. Collaborations include Tomas Strömberg (Professor), Marcus Larsson (Associate Professor), and Martin Hultman (Assistant Lecturer), with applications in diabetes, cardiovascular disease, and post-surgical monitoring. His teaching involves examinatorship for TBMT01 (Biomedical Technology course).

Xiao Liمشاهده پروفایل

دانشیار

• RNA Systems Biology
• Precision Medicine
• Post-transcriptional Regulation
• +۴ مورد دیگر

Xiao Li serves as Associate Professor in the Department of Biochemistry at Case Western Reserve University School of Medicine and Department of Biomedical Engineering at Case School of Engineering, with additional affiliations at the Center for RNA Science and Therapeutics and Population and Cancer Prevention Program of the Case Comprehensive Cancer Center. Li's research bridges molecular biology and clinical applications through RNA systems biology in precision medicine. Li's educational background includes: PhD from University of Toronto Postdoctoral training at Stanford University Research focuses on deciphering gene-environment interactions in human diseases through dual approaches: (1) investigating genetic variation impacts on post-transcriptional regulation and RNA-binding protein functions, and (2) leveraging wearable technology for deep phenotypic and environmental profiling. The lab integrates multi-omics datasets with real-world environmental exposures to achieve personal-resolution disease understanding, particularly in cancer and metabolic disorders. Key methodologies include CRISPR screening, machine learning analysis of wearable data, and systems-level RNA metabolism studies. Recent publications (2017-2024) demonstrate consistent high-impact output across RNA biology, cancer therapeutics, and digital health, with notable work in chemoresistance mechanisms, postoperative complication prediction using wearables, and genome-wide regulatory element mapping. Articles frequently appear in journals like Nature Biomedical Engineering , Journal of Experimental Medicine , and Cell , reflecting interdisciplinary collaboration across oncology, immunology, and biomedical engineering domains. Li leads the Li Lab within the Center for RNA Science and Therapeutics, maintaining active collaborations with Case Comprehensive Cancer Center researchers and engineering faculty. The lab's work on data-driven health platforms and RNA-centric disease mechanisms positions it at the forefront of precision medicine translation, with ongoing projects focused on wearable-based early disease detection and RNA-targeted therapeutic development.

Michael Spiveyمشاهده پروفایل

استاد

• Language processing
• eye movements
• embodied cognition
• +۶ مورد دیگر

Michael Spivey is a Professor in the Cognitive & Information Sciences department at the University of California, Merced. His work bridges cognitive science, linguistics, and neuroscience, focusing on how embodied processes shape cognition and language. Dr. Spivey's research interests span language processing, eye movements, embodied cognition, and dynamical systems. He investigates how cognitive processes unfold in real-time through methods like eye-tracking and mouse-tracking. His work challenges traditional computational models of cognition, advocating for dynamical systems approaches that emphasize continuous, non-linear processes. He has made significant contributions to understanding how language and vision interact, how moral decisions are shaped by sensorimotor processes, and how creativity relates to spatial foraging behaviors. His recent publications reveal a strong trend toward investigating cognition as a dynamic, embodied process. Rather than viewing the mind as a digital computer, Spivey's work emphasizes continuous trajectories in cognitive state space, showing how seemingly discrete cognitive phenomena emerge from underlying continuous processes. His research often employs innovative methodologies that capture the temporal dynamics of cognitive processes. Dr. Spivey is the author of "Who You Are: The Science of Connectedness" (2020, MIT Press), which explores how human cognition extends beyond the brain to incorporate the body and environment. His laboratory investigates the real-time dynamics of cognitive processes through eye-tracking, mouse-tracking, and other behavioral measures. Current research examines how social context influences perspective-taking, how creativity relates to spatial search behaviors, and how physiological fluctuations relate to cognitive timing.

Vuthea Chheangمشاهده پروفایل

استادیار

• Extended Reality (XR)
• Human-Computer Interaction
• Visualization
• +۵ مورد دیگر

Dr. Vuthea Chheang is an Assistant Professor in the Department of Computer Science at San José State University, where he teaches courses including Introduction to Computer Graphics and Data Science Senior Project. Previously, he served as a Postdoctoral Research Staff at Lawrence Livermore National Laboratory and a Postdoctoral Researcher at the University of Delaware. Education: Doctor of Engineering, Department of Simulation and Graphics, Otto-von-Guericke University of Magdeburg, Germany (2018-2022) Master of Engineering in Computer Science, Chungbuk National University, South Korea (2016-2018) Bachelor of Science in Computer Science and Engineering, Royal University of Phnom Penh, Cambodia (2011-2015) Dr. Chheang's research focuses on extended reality (XR), human-computer interaction, and visualization . His work specifically targets interaction and visualization techniques , collaborative environments , and the development of XR applications for medical planning and training . His research bridges computer science with practical healthcare applications, creating immersive environments that enhance medical education, surgical planning, and rehabilitation. His work often integrates wearable sensor technology with virtual reality to create comprehensive training and therapeutic systems that respond to user movements and provide real-time feedback. Analysis of Dr. Chheang's recent publications reveals a strong focus on medical applications of virtual reality , particularly in surgical training, anatomy education, and rehabilitation. His work spans multiple disciplines including computer science, healthcare, and engineering, with a consistent thread of developing collaborative and immersive experiences. Recent trends show increasing integration of generative AI with virtual reality systems, as well as expanding applications in additive manufacturing inspection and wearable sensor integration . His research demonstrates a clear trajectory toward more sophisticated, multi-modal XR systems that address real-world challenges in medicine and engineering. Scientific Awards: 2nd Place -- Computing Research SLAM, Stepping into the Future of Digital Twins with eXtended reality (XR), Lawrence Livermore National Laboratory (2025) Best Paper Honorable Mention, Towards Anatomy Education with Generative AI-based Virtual Assistants in Immersive Virtual Reality Environments, IEEE International Conference on Artificial Intelligence & extended and Virtual Reality (AIxVR) (2024) Noteworthy Achievement Award, Lawrence Livermore National Laboratory (LLNL) (2024) Best Paper Award, Virtual Therapy Exergame for Upper Extremity Rehabilitation Using Smart Wearable Sensors, IEEE/ACM international conference on Connected Health (2023) Nominated for Post-doctoral Research Excellence Award, University of Delaware (2023) Dr. Chheang has been actively involved in research projects spanning multiple institutions including Lawrence Livermore National Laboratory, University of Delaware, and Otto-von-Guericke University. His work has received recognition through several competitive awards and has resulted in numerous peer-reviewed publications in top-tier conferences. While specific grant information isn't detailed in the provided materials, his research trajectory suggests involvement in interdisciplinary projects that likely involve funding from agencies supporting medical technology, computer science, and engineering research. His collaborative approach is evident in his work with medical professionals and engineers across multiple institutions. Dr. Chheang's research involves collaborations with medical institutions and national laboratories, particularly evident in his work at Lawrence Livermore National Laboratory and with surgical teams. His projects often involve interdisciplinary teams combining computer scientists, medical professionals, and engineers to develop XR applications for surgical planning, medical education, and rehabilitation. The Research Campus STIMULATE at Otto-von-Guericke University appears to have been a significant research environment during his doctoral studies, focusing on simulation and medical applications.