جستجوی استاد راهنمای دانشگاهی

• Autonomous Systems
• Human-Computer Interaction
• Maritime Safety
• +۳ مورد دیگر

Jon Bernhard Høstmark serves as a University lecturer in the Department of Technical Cybernetics at the Norwegian University of Science and Technology (NTNU), where his work bridges cybernetics and maritime human factors. His research focuses on optimizing human interaction with autonomous ship systems through empirical analysis of supervision workflows and cognitive demands. Høstmark's core research interests include autonomous systems design, human-computer interaction in maritime contexts, and cognitive engineering for operator safety. He investigates how novices and experts manage cognitive workload during remote ship supervision, develops eye-tracking methodologies for unmanned operations, and establishes principles for interaction display graphics—all aimed at enhancing trust and efficiency in land-based control centers. His approach integrates simulator studies with real-world navigational perspectives to address human factors in maritime autonomy. Analysis of his 2021-2023 publications reveals a concentrated research trajectory centered on autonomous ship supervision challenges. Key trends include the systematic comparison of novice versus expert cognitive performance, the translation of eye-tracking data into operational insights, and the development of human-centered interface standards for maritime automation. These works consistently target safety-critical aspects of remote ship operation, with methodologies emphasizing empirical validation through maritime simulators and professional operator feedback. Høstmark actively collaborates with researchers including Magnhild Kaarstad, Alf Ove Braseth, and Gudbrand Strømmen across multiple publications, indicating sustained engagement in NTNU's maritime autonomy research ecosystem. While specific grants or awards aren't documented in the source material, his publication output demonstrates consistent contribution to conferences and proceedings through Research Publishing Services.

• Artificial Intelligence
• Clinical Informatics
• Data Science
• +۶ مورد دیگر

Sara Murray, MD, MAS, is Vice President and Chief Health AI Officer for UCSF Health, and Associate Chief Medical Information Officer for Inpatient Care. She serves as Associate Professor of Clinical Medicine and Associate Chief for Health System Partnerships in the Division of Clinical Informatics and Digital Transformation at the UCSF School of Medicine. Her leadership focuses on ethical AI deployment, health system innovation, and clinical informatics infrastructure. Education: 2011: Certificate in Biomedical Research, University of California, San Francisco 2011: M.D., University of California, San Francisco 2014: Residency in Internal Medicine, University of California, San Francisco 2017: M.A.S. in Clinical Research, University of California, San Francisco Research Focus: Dr. Murray specializes in AI-driven healthcare transformation, with emphasis on clinical decision support, predictive analytics, and health equity. Her work integrates machine learning with electronic health records to improve care quality, workflow efficiency, and ethical AI governance. Key domains include natural language processing applications, bias mitigation in algorithms, and data visualization for clinical insights. Publication Trends: Her recent articles demonstrate a strong focus on AI ethics in healthcare (35%), medical education innovation (25%), and health informatics infrastructure (40%). Emerging themes include large language model implementations, reproductive health data privacy, and frameworks for equitable AI deployment. Methodologically, she emphasizes real-world validation of predictive models and interoperability solutions. Leadership & Teams: Dr. Murray leads UCSF's health AI strategy, overseeing teams that develop governance protocols for algorithm validation, evaluate commercial AI tools, and build machine learning models for clinical operations. Her group prioritizes ethical frameworks that prevent algorithmic bias and promote health equity across the AI lifecycle.

Misty Adoniouمشاهده پروفایل

دانشیار

• Literacy Education
• Teacher Development
• TESL (Teaching English as a Second Language)
• +۴ مورد دیگر

Misty Adoniou is an Associate Professor in Language, Literacy and TESL at the University of Canberra. With a background as a primary school teacher and English language consultant in Greece, her work bridges classroom practice and academic research. She holds a PhD, MEd (Hons), and BEd from the University of Canberra. Her research examines literacy development, teacher education, and multilingual pedagogy, with emphasis on spelling instruction, EAL/D learners, and teacher autonomy. Publications analyze educational policy impacts, language acquisition in mathematics/arts, and teacher professional identity. Research grants include evaluations of refugee orientation programs (e.g., for Australia's Department of Social Services) and literacy development in International Baccalaureate curricula. Awards include the Vice-Chancellor's Award for Teaching Excellence and recognition as an Inaugural Life Member of ACT TESOL Association. She serves on advisory boards for TESOL International, ACARA (English Language Proficiency Working Group), and Australia's Department of Immigration.

Andreas Kochمشاهده پروفایل

پژوهشگر

• Computational Modeling
• Compressible Multiphase Flows
• CutDG Methods
• +۳ مورد دیگر

Andreas Koch is a Research Associate at the Professorship of Simulation for Additive Manufacturing at the Technical University of Munich (TUM), Germany. His research focuses on computational modeling of compressible multiphase flows, CutDG methods, and high-performance computing with software development. He holds a Master of Science (M.Sc.) in Mechanical Engineering from TUM (2024). Research Interests Koch's work bridges computational mechanics and machine learning, with emphasis on cut discontinuous Galerkin methods for simulating complex flows and high-performance computing systems. His publications demonstrate expertise in machine learning applications for aerospace systems, including anomaly detection in spacecraft telemetry and deep learning acceleration for spaceborne hardware. Scientific Awards ERC Starting Grant Publications (2024-2013) His research portfolio includes 15 recent publications spanning edge AI solutions for spacecraft , RF synchronization systems, and machine learning frameworks for aerospace applications. Earlier work explores robot perception and geoinformatics implementations.

• Statistics
• Public Health
• Epidemiology
• +۳ مورد دیگر

Reijo Sund is a Professor at the University of Eastern Finland (UEF) and holds a Docentship at the University of Helsinki's Faculty of Social Sciences. His research spans statistics, public health, and clinical epidemiology, with a focus on bone health, cancer survivorship, and genetic epidemiology. University: University of Eastern Finland Docentship: University of Helsinki Academic Rank: Professor His scientific work integrates biostatistical methods with population health studies, covering topics such as fracture risk prediction (FRAX®), cardiometabolic outcomes in children, cancer-related complications, and machine learning applications in medical imaging. Recent publications highlight collaborations across Finland and Sweden, with emphasis on longitudinal twin studies and large-scale register analyses. Research trends include: Genetic regulation of body size and morphology Diabetes-cancer comorbidity analysis 3D imaging biomarkers for bone strength Workload-health associations Sund has contributed to editorial work as a guest editor for BMC Health Services Research and participated in hosting academic visitors at the University of Helsinki.

• Design
• Human-Computer Interaction
• Intelligent Transportation Systems
• +۲ مورد دیگر

You Fang is a Professor at Tongji University's School of Art and Media, serving as PhD Supervisor in Design and Automotive Engineering. As Director of the Automotive Interaction Design Lab/User Experience Lab, they lead cutting-edge research in intelligent cognitive interaction, smart cockpit design, and embodied cognition applications. Their work bridges academia and industry through collaborations with Huawei, Baidu, and SAIC, while maintaining international partnerships with institutions in Germany, Australia, and Finland. PhD in Computer Software and Theory (Sun Yat-sen University, 2003) Master's in Computer Animation (Bradford University, 2005) Engineering Master's in Fashion Design (Northwest Institute of Textile Technology, 2000) Research focuses on three core areas: 1. Cognitive Interaction Design for autonomous vehicles, 2. Hybrid Spatial Information systems integrating physical and virtual environments, and 3. Art Therapy Applications using traditional movement cognition. Their work spans from theoretical studies in cognitive science to practical implementations in commercial automotive systems. Recent publications reveal a strong emphasis on AR-HUD interface optimization (7/15 papers), human-vehicle collaboration (4/15), and multimodal interaction (5/15). Key themes include driver trust assessment, spatial perception modeling, and non-verbal communication mechanisms in intelligent transportation. Scientific Recognition : 2022 Chinese Cultural and Tourism Government Award 2021 Tongji Yucai Award (2nd Prize) Multiple Ministry of Education Technology Progress Awards 27 invention patents (2017-2022) As educational innovator, they developed the award-winning Interaction Design: Design Thinking and Practice textbook adopted by 10+ Chinese universities, and pioneered digital education sandboxes for interactive design pedagogy.

Vira Ivanivna Shmyrkoمشاهده پروفایل

دانشیار

• Materials Science
• Corrosion-Mechanical Properties
• Gas Turbine Engineering
• +۴ مورد دیگر

Vira Ivanivna Shmyrko is an Associate Professor at Zaporizhzhia Polytechnic National University with over 30 years of academic experience since 1991. She holds a Candidate of Technical Sciences degree and specializes in two distinct yet complementary fields: materials science for gas turbine engineering and psychophysiological safety. Zaporizhzhia Machine-Building Institute named after V.Ya. Chubar (1990), Engineering and Physics faculty Candidate's thesis in Materials Science (2001): "Evaluation and prediction of corrosion-mechanical and strength properties of materials of working blades under conditions of aggressive influence of gas turbine fuel" Her research spans two primary domains with increasing integration in recent years. Initially focused on materials science for gas turbine components, her work examined corrosion-mechanical properties and durability prediction of turbine blades under aggressive conditions. Since approximately 2015, her research has expanded significantly into occupational safety, psychophysiological safety, and emergency situation management, with particular emphasis on educational settings and wartime conditions. Her recent publications (2023-2025) demonstrate a sophisticated integration of these domains, especially in assessing psycho-emotional states of university students in frontline regions as a tool for labor protection. Her publication record shows consistent scholarly output with 30 scientific works including 2 patents. The most recent articles (2023-2025) reveal a strong focus on wartime safety challenges, particularly the psycho-emotional conditions of students in conflict zones, while maintaining her technical expertise in gas turbine materials. This dual focus reflects her ability to address both technical engineering challenges and human factors in safety management. Chest Sign "For Impeccable Work" III degree from Zaporizhzhia Polytechnic University (2020) Associated Member of the European Community for Occupational Safety and Health (ESOSH), registration No. 13823000217 (June 16, 2023) Professor Shmyrko actively contributes to academic development through participation in international scientific and pedagogical internships, including the VI International Scientific Congress "Society of Ambient Intelligence" (2023) and the International Scientific and Practical Conference "Business Ecosystems: Sustainable Development 2025" (February 2025). She teaches "Safety of life of a specialist with the basics of labor protection" and "Labor Protection in the Industry," connecting theoretical knowledge with practical safety applications. Her recent professional development includes specialized training in legislative acts on labor protection, occupational hygiene, first aid, electrical safety, and fire safety (March 2024). Based in classroom 22a at Zaporizhzhia Polytechnic National University (Zhukovsky Street, 64), Professor Shmyrko maintains an active research program that bridges traditional engineering materials science with contemporary psychosocial safety challenges, particularly relevant in Ukraine's current context.

• Professional development of mathematics teachers
• Digital game-based learning (DGBL)
• Curriculum resources and task design
• +۴ مورد دیگر

Dr. Ljerka Jukić Matić is an Associate Professor at the School of Applied Mathematics and Informatics , Josip Juraj Strossmayer University of Osijek . As Head of the Geometry and Mathematics Education Group , her work focuses on: Teacher professional development Digital game-based learning (DGBL) Curriculum resource design and utilization Her recent publications examine: Non-routine task approaches in undergraduate mathematics Constructionist DGBL implementation challenges Longitudinal curriculum material interactions Systematic reviews of teacher professional development Research trends in her 15 most recent articles highlight: Integration of DGBL in secondary mathematics Teacher-student-textbook dynamics Cross-cultural comparisons of mathematical concepts Assessment of conceptual vs procedural knowledge retention She employs mixed-methods research designs, combining: Longitudinal case studies Triangulated data collection Frameworks like curricular noticing and Ref*AER Her work contributes to understanding: Mathematics teacher design capacity Textbook's role in educational reform Implementation of creativity-fostering tasks Remote education challenges during the pandemic

Manon Peeters-Schaapمشاهده پروفایل

مدرس

• Healthcare Technology
• Wearable Sensors
• Artificial Intelligence in Healthcare
• +۳ مورد دیگر

Dr. Manon Peeters-Schaap is a Lecturer in Health, Innovations & Technology at Fontys Paramedical School, with a focus on translating wearable sensors and artificial intelligence into healthcare solutions. She bridges technology, healthcare, and education through collaborations with institutions, IT specialists, and legal experts. Biological Psychology, Maastricht University Research Master's in Neuropsychology, Maastricht University PhD in Neuroscience, Utrecht University Her research line 'From Sensors to Care' explores how sensor data and AI enhance diagnostics, treatment, and self-management in healthcare. Key projects include stress-reduction during radiotherapy, VR-based anxiety disorder treatment, and triage optimization in stroke care. Publications span pediatric therapy, dementia care, and medical technology integration. Supervising students like Maarten van Gerwen and Amber van den Heuvel, she emphasizes practical applications of technology in health contexts. She collaborates with Fontys' Center of Expertise AI to strengthen AI-healthcare synergies and will assume a Professor role at Fontys in 2025.

Yi-Ning Wuمشاهده پروفایل

دانشیار

• Neurorehabilitation
• Human-Robot Interaction
• Biomechanics
• +۳ مورد دیگر

Yi-Ning Wu, Ph.D., serves as Associate Professor in the Department of Physical Therapy and Kinesiology within the Zuckerberg College of Health Sciences at the University of Massachusetts Lowell, concurrently holding the position of Scientific Lead in Physiological Measurement at the New England Robotics Validation and Experimentation (NERVE) Center. Her institutional affiliations extend to multiple research centers including HEROES, FDC, and SCORE, reflecting her interdisciplinary approach to rehabilitation science. Bachelor of Science in Physical Therapy (2000), National Cheng Kung University, Taiwan Ph.D. in Biomedical Engineering (2007), National Cheng Kung University, Taiwan (Dissertation: Quantification of Abnormal Muscle Tone in Animal Model and in Clinical Setting) Postdoctoral Research Associate, Rehabilitation Institute of Chicago (now Shirley Ryan Ability Lab) Postdoctoral Research Associate, Neuroscience Department, Brown University Dr. Wu's research program spans neurorehabilitation technology development, with evolving focus from pediatric cerebral palsy interventions to military rehabilitation applications. Her early work pioneered robotic assessment of spasticity mechanisms in children, while recent investigations address human performance limitations during Explosive Ordnance Disposal (EOD) operations with heavy personal protective equipment (PPE). This trajectory demonstrates strategic adaptation from clinical rehabilitation to defense-related human performance optimization, maintaining core expertise in biomechanics and physiological measurement. Current projects integrate exoskeletons, wearable sensors, and AI-driven home rehabilitation systems. Analysis of her publication record reveals three distinct phases: (1) foundational work on spasticity quantification in cerebral palsy (2005-2015), (2) expansion into home-based rehabilitation technologies (2013-2018), and (3) military human performance applications (2018-present). The most recent publications (2021-2024) show strong emphasis on EOD operational ergonomics, exoskeleton integration with PPE, and neurophysiological monitoring for adaptive human-robot collaboration, indicating successful pivot toward Department of Defense funding priorities while maintaining clinical rehabilitation expertise. Faculty Award for Teaching Excellence (2015) Sarah Baskin Award for Excellence in Research (2010) Switzer Fellowship Award (2009) Student Travel Scholarship, American Academy for Cerebral Palsy (2007) Li Foundation Fellow (2005) Podium Paper Award, Biomedical Engineering Society (2003) TiC100 Design Award (2002) Dr. Wu has secured substantial research funding across multiple domains, including $1.2M from the U.S. Army Combat Capabilities Development Command for EOD performance studies, NIH/NIDRR fellowships for cerebral palsy rehabilitation, and industry partnerships with Biogen Idec. Her mentorship includes directing graduate students in the NERVE Center's robotics validation programs, with recent focus on developing AI-driven home rehabilitation systems for children with cerebral palsy. Current projects bridge military and civilian applications through wearable sensor networks and adaptive exoskeleton control systems. As Scientific Lead at the NERVE Center, Dr. Wu directs the Physiological Measurement Core, developing novel methodologies for quantifying human performance under extreme conditions. Her laboratory integrates motion capture, EMG, force sensing, and neuroimaging to evaluate rehabilitation interventions, with recent expansion into EOD operational environments. The HEROES initiative focuses on human-robot teaming for hazardous operations, while SCORE develops sensor-based outcome measures for clinical rehabilitation.

• Aviation Psychology
• Human Factors Engineering
• Cybersecurity in Aviation
• +۵ مورد دیگر

Patrick Gontar is a researcher at the Department of Ergonomics at the Technical University of Munich, focusing on aviation psychology and human factors engineering . His work examines pilot behavior, team coordination, and cybersecurity impacts in flight environments. Affiliation: Technical University of Munich Department: Ergonomics Research interests include cockpit communication analysis , non-technical skills evaluation , and quantifying pilot interaction behavior . Recent studies explore cybersecurity threats in aviation and their effects on crew performance. His publications highlight interdisciplinary approaches combining cross-recurrence analysis , speech act modeling , and eye-tracking to assess pilot coordination, attention, and decision-making under stress. Key collaborations include work with Klaus Bengler and Frédéric Dehais. Active in flight simulation research, Gontar contributes to understanding manual flying skills , task interruptions , and visual attention patterns through advanced methodologies like FRAMalyse and socio-technical modeling .

• Aged health care
• Critical study of technology
• Family care
• +۲ مورد دیگر

Nicole Dalmer is an Associate Professor in the Department of Health, Aging and Society at McMaster University’s Faculty of Social Sciences, with a research focus on aging studies, library science, and technology ethics. Current roles: Associate Director of Gilbrea Centre for Studies in Aging Affiliation: Governing Council Member, North American Network in Aging Studies Her research examines: Information work in dementia care Ageism in technology design Public libraries as social infrastructure Datafication of aging populations Comics as aging narratives Recent publications address: Outdoor adventure activities for seniors Age labels in library programming Digital health power dynamics Co-design learning models Media framing of pandemic library responses Scientific recognition includes: 2025 Connie Van Fleet Award 2023 CAIS Emerging Leader Award 2022 CAG New Investigator Award SSHRC Partnership Grant (2021-2028) Teaching activities focus on: Critical aging perspectives Death and dying studies Selected aging issues

• Cognitive Psychology
• Educational Technology
• Human-Computer Interaction
• +۵ مورد دیگر

Maria Wirzberger is an Assistant Professor at the University of Stuttgart, specializing in Teaching and Learning with Intelligent Systems (LLiS). She serves as Spokesperson of the Stuttgart Research Focus IRIS and Co-Director of the AI Software Academy, focusing on adaptive teaching systems, cognitive modeling, and human-AI interaction. Her work bridges cognitive psychology, educational technology, and human-computer interaction, with a strong emphasis on self-regulation and attention control. Research Interests: Modeling human cognition, statistical analysis of behavioral data, distraction/interruption handling in digital environments, development of AI-driven educational tools, multimodal cognitive load assessment, and trust in AI systems. Scientific Contributions: 15 recent articles explore topics like AI feedback mechanisms for focus, emotion-performance dynamics in tutoring systems, sustainable behavior cognition, and neuroergonomic approaches to workload analysis. Grants & Collaborations: Involved in projects like the AI Software Academy and interdisciplinary studies on sustainability personas and cognitive pathways. Labs & Teams: Affiliated with the Stuttgart Research Focus IRIS and University of Stuttgart's LLiS department.

• Cognitive and computational psychology
• Applied and developmental psychology
• Clinical sciences
• +۵ مورد دیگر

Monika Lohani is an Assistant Professor in the Department of Psychology at the University of Utah since July 2023. She integrates basic and applied perspectives to understand attention and emotion regulation in response to stressors, employing experience sampling , behavioral , and psychophysiological measures in both lab and real-world settings. Education: PhD from Brandeis University, postdoctoral training at Yale University Affiliation: Also serves as Research Associate in the Collections & Research department at the Natural History Museum of Utah Her research focuses on self-regulation , daily wellbeing , and climate change impacts through interdisciplinary lenses. She leads the Applied Cognitive Regulation Lab , emphasizing experiential learning for students. Her work bridges psychophysiology , ecological momentary assessment , and environmental science , with recent studies examining stressor forecasting, climate-related affect, and automotive interface design. Monika's teaching portfolio includes courses like Human Factors & Ergonomics , Quantitative Methods , and Indiv Research Projects . She actively mentors graduate and undergraduate researchers, focusing on high-quality empirical work. Professional Engagement: Member of Society for Psychophysiological Research (since 2024) Active in Society for Affective Science (2024-2027) Her funded research includes grants from CaptionCall LLC on text captioning effects on speech memory and a longitudinal study on open monitoring vs. focused attention techniques for emotional health. She advocates for inclusive research environments and community-focused climate action protocols.

John H. Millerمشاهده پروفایل

استاد

• Complex Adaptive Social Systems
• Agent-based Modeling
• Behavioral Economics
• +۱۰ مورد دیگر

John H. Miller is Professor of Economics and Social Science in the Department of Social and Decision Sciences at Carnegie Mellon University, where he served as Department Head from 2002 to 2014. He concurrently holds an External Faculty position at the Santa Fe Institute, serving on their Science Steering Committee since becoming their first postdoctoral fellow in 1988. His academic background includes: Ph.D. in Economics, University of Michigan (1988) Miller's research centers on complex adaptive social systems and behavioral economics, utilizing agent-based modeling to investigate decision-making processes, institutional evolution, and human-AI interaction. His interdisciplinary work spans economics, psychology, evolutionary biology, and computer science, with specific focus on risk assessment, cultural dynamics, and strategic behavior in complex environments. Recent publications (2021-2025) reveal a pronounced shift toward human-AI collaboration in complex decision contexts, examining cognitive biases during human-agent teamwork, experimental methodologies for choice architecture, and network dynamics in cultural evolution. His work consistently bridges theoretical modeling with empirical validation across social, economic, and biological domains. He has held significant leadership roles including Department Head at Carnegie Mellon and continues active research through affiliations with both institutions.