جست‌وجوی استاد و پژوهشگر

• Emergency Care
• Nursing
• Patient-Centered Care
• +۵ مورد دیگر

Carina Elmqvist is an Adjunct Professor in Caring Science with a focus on emergency care at Linnaeus University's Department of Health and Caring Sciences, Faculty of Health and Life Sciences. She also serves as Research Director at Region Kronoberg and Clinical Professor at the acute clinic. Her work bridges academia and clinical practice, emphasizing interprofessional collaboration and patient-centered care. Her research explores emergency care interactions, heat conservation during surgery, non-conveyance decisions in ambulance services, and the role of touch in intensive care. Key projects include the 'Eir' compassion course for healthcare professionals and the 'ECA' project addressing ethical care for older adults. She leads the Pain Research Group and the Centre for Interprofessional Collaboration within Emergency Care (CICE). Publications span 20+ years, focusing on clinical practice improvements, patient experiences, and interprofessional dynamics. She has supervised seven PhD students to completion and currently advises four more. Her work is internationally recognized through collaborations with institutions like the University of Calgary and University of Technology Sydney.

Jens-Uwe Schröder-Hinrichsمشاهده پروفایل

استاد

• Maritime Safety
• Maritime Risk
• Implementation of IMO Instruments
• +۲ مورد دیگر

Jens-Uwe Schröder-Hinrichs is Professor and Vice-President of Strategic Initiatives at the World Maritime University (WMU), an institution established by the International Maritime Organization (IMO). With over two decades of academic and managerial experience at WMU, he specializes in maritime safety and the implementation of IMO instruments. His research focuses on maritime risk analysis, accident causation modeling, and the implications of automation in maritime transport. He holds a Ph.D. in Safety Science from the University of Wuppertal and an M.Sc. in Maritime Transport Engineering from the University of Rostock. His key expertise includes: Higher Education and Capacity Building Implementation of IMO Instruments Technology and Labour in Transport Maritime Safety Maritime Risk Professor Schröder-Hinrichs has conducted extensive capacity-building missions globally, advising maritime administrations across Europe, Asia, the Middle East, and the Americas. His recent research examines safety challenges in domestic ferry operations and the impact of decarbonization on maritime safety standards. His scholarly work demonstrates consistent focus on maritime safety innovation, with recent publications exploring autonomous vessels, risk assessment methodologies, and regulatory frameworks for emerging technologies in shipping.

• Military Logistics
• Logistic Security
• Economic Security
• +۳ مورد دیگر

Mieczysław Pawlisiak is an Associate Professor at the Military University of Technology, specializing in military logistics, security systems, and geopolitical strategy. His work focuses on enhancing operational readiness through advanced logistics frameworks, cybersecurity applications, and crisis management during pandemics. He has contributed to studies on Russian geopolitical influence in Eastern Europe, IoT integration in military material security, and virtual reality applications in air transport. His research emphasizes the intersection of technological innovation and defense logistics, including analyses of economic security impacts during the pandemic and cross-national air transport comparisons. He has authored over 70 publications, with notable contributions in Systemy Logistyczne Wojsk and European Research Studies Journal . Key research areas include: Military logistics optimization in combat environments Russian soft power strategies targeting V4 countries IoT implementation for real-time logistics monitoring Logistics security during health crises Though no formal awards are listed, his prolific publication record reflects sustained contributions to defense logistics research and geopolitical analysis.

• Software Engineering
• Programming Languages
• Static Analysis
• +۴ مورد دیگر

Michael Schröder is a Researcher at TU Wien's Faculty of Informatics, affiliated with the Institute of Software Technology. He holds a BSc and a Dipl.-Ing. (Master's equivalent) in Informatics. His research focuses on software engineering, static analysis, and programming languages, with notable contributions to probabilistic program analysis, security, and empirical studies on developer workflows. Education : Bachelor of Science in Informatics Diplom-Ingenieur (Dipl.-Ing.) in Informatics from TU Wien Research Interests : His work spans static analysis of probabilistic programs, security in software repositories, grammar inference for ad hoc parsers, feature flag dependency analysis in large systems, and empirical studies on command-line tool customization. He has also contributed to medical research in pediatric oncology through a 2019 study on leukemia genetics. Recent Trends in Publications : Recent efforts emphasize language-agnostic static analysis frameworks (2024), lateral movement detection in source code (2023), and grammar inference techniques for parsers (2022). Earlier work includes neural ranking models (2020) and transactional memory systems (2015). Grants & Advising : No explicitly listed grants or student advisement, though recent theses supervised include static grammar inference projects (2025). Labs/Teams : Not explicitly mentioned in available records.

• Hospital Medicine
• Patient Safety
• Quality Improvement
• +۵ مورد دیگر

Robert L. Fogerty is an Associate Clinical Professor in the Department of General Internal Medicine at Yale School of Medicine. He also serves as Senior Medical Director, Clinical Leadership at Yale New Haven Hospital, where he supports medical directors across multiple clinical specialties. Dr. Fogerty is a founding member of the Academic Hospitalist Program at Yale, which he joined in 2011. Dr. Fogerty received his Bachelor's degree in Economics from Boston College in 2002, followed by his MD and MPH degrees from Northwestern University's Feinberg School of Medicine in 2008. He completed his Internal Medicine residency training at Yale New Haven Hospital in 2011. Dr. Fogerty's research focuses on improving healthcare delivery through enhanced safety, quality, and cost-effectiveness in inpatient settings. His work spans hospital operations, patient flow management, value-based care implementation, and quality improvement initiatives. He has made significant contributions to understanding hospital capacity management during surges, including the influenza season and the COVID-19 pandemic. His expertise in high-value care has led to national recognition and leadership roles in developing educational curricula for physicians. His publications demonstrate a consistent focus on practical solutions to healthcare system challenges, particularly in hospital operations, patient flow optimization, and value-based care implementation. Dr. Fogerty's research often addresses real-world problems faced by healthcare systems, with an emphasis on creating actionable insights that can be implemented at the institutional level. Senior Fellow, Society of Hospital Medicine (2018) Award for Excellence in Clinical Education, Society of General Internal Medicine (2016) Winner, "Teaching Value and Choosing Wisely" Competition, ABIM Foundation/Costs of Care (2013) Dr. Fogerty is actively involved in several professional organizations and initiatives. He is the co-founder and Past-President of the Society of Hospital Medicine Connecticut Chapter, faculty in the High Value Practice Academic Alliance (HVPAA) training programs, and a founding member of the Hospital Capacity Management Consortium. He also serves on the Yale University Provost's Committee on Conflict of Interest and is a member of the Society of Hospital Medicine's Chapter Support Committee.

• Psychosocial aspects of sport
• Human-technology interactions in sport
• Group dynamics
• +۳ مورد دیگر

Lori Dithurbide is an Associate Professor in Kinesiology at the School of Health and Human Performance, Dalhousie University. Her research focuses on psychosocial aspects of sport, including human-technology interactions and group dynamics in athletic contexts. Dr. Dithurbide holds a PhD from Michigan State University, an MA from Brock University, and a BA (Honours Psychology) from Saint Mary’s University. Her work examines how athletes and coaches interact with technology in training/competition and explores trust dynamics within teams. She is certified as a Mental Performance Consultant by the Association of Applied Sport Psychology and holds a High-Performance Certification (Mental Performance) from Sport Scientist Canada. Her research emphasizes practical applications to enhance learning, confidence, and performance outcomes through technology integration and team cohesion strategies. Recent articles highlight trends in trust dynamics (e.g., interdependent sport teams, automated systems), technology adoption in golf, and mental health among community sport coaches. She has also studied personality traits related to choking susceptibility and the impact of pandemics on athlete mental performance. Dr. Dithurbide collaborates across disciplines, including stroke care simulations and military command systems, to apply sport psychology principles to broader team environments. Her work emphasizes real-world applicability, bridging theory and practice in high-performance contexts.

Ben Wymoreمشاهده پروفایل

استادیار بالینی

• Machine Learning
• Speech Recognition Systems
• Embedded Systems
• +۳ مورد دیگر

Ben Wymore is a Clinical Assistant Professor of Computer Science at Yeshiva University. His professional career includes roles at Intel Corporation, where he contributed to speech recognition and natural grammars for residential productivity applications, and at Crestron Electronics, where he led software development for touchpanels and mobile applications. Wymore holds patents in speech recognition, electronic program guides, and tactile sensory surfaces. His research interests span machine learning, speech interfaces, embedded systems, and residential technologies. Education: BA in Mathematics-Computer Science Interdisciplinary and MS in Computer Science. His industry contributions include innovations in user interface design, multimodal input systems, and embedded hardware-software integration. Wymore’s work bridges academic research and practical applications in consumer technology and enterprise software solutions.

Jason Scholzمشاهده پروفایل

استاد

• Strategy, management and organisational behaviour
• International and comparative law
• Applied ethics
• +۳ مورد دیگر

Professor Jason Scholz is an Innovation Professor at RMIT University's Research & Innovation Capability department. His research focuses on ethical AI, autonomous systems, decision-making frameworks, and their applications in defense, humanitarian contexts, and organizational behavior. He has contributed to developing trustworthy AI methodologies and addressing ethical challenges in technology integration. His research interests span strategy and organizational behavior, international law, applied ethics, data science, and machine learning. Key areas include AI ethics in defense, policy automation in command and control systems, and humanitarian implications of autonomous weapons. His work often bridges technical innovation with ethical and legal considerations. Recent publications explore frameworks for research impact assessment, trusted human-AI networks, and ethical AI in defense. He has also authored foundational texts on trusted autonomy and error modeling in machine learning. His interdisciplinary approach addresses global challenges in technology governance and decision-making processes. No scientific awards or grants are explicitly listed in the provided texts. He advises no students, and specific lab affiliations or teams are not mentioned.

Roger R. Reeseمشاهده پروفایل

استاد

• Soviet Social History
• Military History
• Russian Imperial Army History
• +۳ مورد دیگر

Roger R. Reese is the Ralph R. Thomas Class of 1921 Endowed Professor in Liberal Arts at Texas A&M University's Department of History. He specializes in Soviet social history with a focus on Imperial and Soviet Russian military institutions. Holding a Ph.D. from the University of Texas (1990), his research bridges Russian Imperial and Soviet military history, examining continuity and transformation in military structures across regimes. Notable awards include the Moncado Prize for military history and the Tomlinson Book Prize for his work on the Russian Imperial Army. His publications explore topics such as revolutionary-era military dynamics, Stalinist soldier motivation, and Soviet command structures. Current research addresses cross-period comparisons in Russian/Soviet military history. His academic contributions span books like The Imperial Russian Army in Peace, War, and Revolution (2019) and Stalin's Reluctant Soldiers , reflecting deep engagement with war's societal impacts and military organization evolution.

Francesco Lacquanitiمشاهده پروفایل

استاد

• Neuroscience
• Gait and Posture
• Space Physiology
• +۳ مورد دیگر

Francesco Lacquaniti is a Full Professor of Physiology at the University of Rome Tor Vergata and Director of the Center for Space Bio-Medicine there. He also leads the Department of Neuromotor Physiology at the Scientific Institute Santa Lucia Foundation in Rome. His academic journey includes positions at Cagliari University, University of Minnesota, and roles with the Italian National Research Council. Lacquaniti holds an M.D. and Neurology specialization from Turin University, followed by post-doctoral research in Minnesota. His research focuses on Neuroscience, Gait/Posture, and Space Physiology, particularly motor control systems, neural programming of movement, and gravitational effects on human physiology. Notable contributions include studies on locomotor primitives in infants and the neural basis of interception timing. Lacquaniti has authored over 130 peer-reviewed articles and serves on editorial boards of major journals like Experimental Brain Research and Frontiers in Exercise Physiology . Key honors include membership in Academia Europaea (2012), lifetime achievement awards in Space Biomedicine, and multiple keynote lectureships. He advises European and North American research agencies and has held leadership roles in neurosciences societies.

Chet Udellمشاهده پروفایل

استادیار

• Wireless Sensor Technology
• Swarm Sensing
• Environmental Monitoring Systems
• +۲ مورد دیگر

Chet Udell is an Assistant Professor in the Department of Biological and Ecological Engineering at Oregon State University. His work focuses on developing open-source, low-cost environmental sensing systems for ecological and agricultural applications. He leads the OPEnS Lab, which emphasizes collaborative, community-driven instrumentation design. Research Interests include wireless sensor networks, swarm sensing, and integrating music composition principles with engineering. Notable projects include the WeatherChimes IoT station, SitkaNet landslide monitoring systems, and the Pied Piper insect detection device. Udell’s innovations often bridge hardware design with real-world environmental challenges. Publications emphasize open-source solutions for ecological monitoring, including sensor networks, robotics, and data sonification. His work frequently addresses cost barriers in environmental science, enabling broader access to advanced tools. Awards: Best Performance Award, GA Tech New Musical Instrument Competition (2017) Labs/Teams: OPEnS Lab (Openly Published Environmental Sensing) Media: Featured in articles on pest monitoring, spiderharp musical instruments, and landslide detection systems.

Raúl Pardoمشاهده پروفایل

دانشیار

• Privacy
• Computer Security
• Formal Methods
• +۵ مورد دیگر

Raúl Pardo is an Associate Professor in Computer Science at the IT University of Copenhagen (ITU). He previously held postdoctoral positions at ITU's SQUARE group and Inria's Privatics team. He earned his PhD from Chalmers University of Technology, focusing on formalizing privacy policies for social networks under Gerardo Schneider's supervision. His research integrates formal methods with privacy and security, addressing topics such as privacy risk analysis, probabilistic programming, and GDPR compliance. Key domains include genetic data, IoT, and social networks. Publications highlight contributions to privacy quantification, formal verification of consent mechanisms, and probabilistic systems analysis. He actively participates in conferences like SEFM, SOSYM, and ETAPS, and has organized tracks on verification and learning for autonomous systems. Pardo teaches courses on probabilistic programming, formal methods, and security at ITU, INSA Lyon, and Chalmers. Notable students include Rasmus Carl Rønneberg (SEFM'23) and Ivana Kellyérová (TIME'16). His work has been recognized, including a nomination for the Danish MSc thesis award. He leads the SQUARE research group at ITU, focusing on privacy-preserving software systems and probabilistic modeling.

Ann Kennedyمشاهده پروفایل

دانشیار

• Neuroscience
• Computational Neuroscience
• Behavioral Neuroscience
• +۸ مورد دیگر

Ann Kennedy, PhD is an Associate Professor in the Department of Neuroscience at Scripps Research Institute. Her research integrates computational modeling with experimental neuroscience to explore neural mechanisms underlying adaptive behavior, focusing on how brain circuits process sensory and internal states to guide decisions related to survival and social interactions. She holds a PhD in Neurobiology & Behavior from Columbia University and previously served as an Assistant Professor at Northwestern University Feinberg School of Medicine. Dr. Kennedy's work combines dynamical systems theory with experimental approaches to analyze neural activity in brain regions like the hypothalamus, basal ganglia, and hippocampus. Her lab develops cutting-edge tools such as the Mouse Action Recognition System (MARS) for automated behavioral analysis and PyRates software for modeling complex neural systems. Current projects investigate neural correlates of aggression, social bonding, and adaptive decision-making in animal models of autism and Parkinson’s disease. Her honors include the 2024 Pew Scholar Award, 2024 McKnight Scholar Award, and 2023 Sloan Research Fellowship. She serves as Associate Editor for Science Advances and collaborates with institutions globally to advance open science practices.

Nancy J. Cookeمشاهده پروفایل

استاد

• Human Systems Engineering
• Team Cognition
• Human-AI-Robot Teaming
• +۵ مورد دیگر

Nancy J. Cooke is a Professor of Human Systems Engineering at Arizona State University's Polytechnic School within the Ira A. Fulton Schools of Engineering. She also serves as Senior Scientific Advisor to the Global Security Initiative’s Center for Human, AI, and Robot Teaming. Her research focuses on team cognition, human-AI collaboration, cybersecurity, and emergency response systems. She holds a PhD in Cognitive Psychology (New Mexico State University, 1987) and has held academic roles since 1987, including past presidencies of major professional societies like the Human Factors and Ergonomics Society. Her work is funded by agencies like DARPA, the Office of Naval Research, and NASA. Dr. Cooke’s research interests include developing methodologies to assess team cognition, improving human-autonomy team performance, and addressing challenges in distributed command-and-control systems. She leads initiatives like the DEXTAR cyber defense simulator and directs the Advanced Distributed Learning Partnership Lab. Her awards include the HFES Arnold M. Small Distinguished Service Award (2014) and recognition as a National Associate of the National Research Council. Education: PhD Cognitive Psychology (New Mexico State University, 1987) Key Affiliations: Center for Human, AI, and Robot Teaming; Cognitive Engineering Research Institute Recent Grants: Cybersecurity defense projects, human-robot teaming studies Her lab facilities include the GHOST Lab and DEXTAR simulator. She has advised over 30 graduate students and serves on numerous national committees, including the National Academies’ Intelligence Science and Technology Experts Group.

Amit K. Roy-Chowdhuryمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Robot Autonomy
• +۳ مورد دیگر

Amit K. Roy-Chowdhury is a Professor and UC Presidential Chair at the University of California, Riverside (UCR), where he chairs the Robotics Program and co-directs the UC Riverside AI Research (RAISE) Institute and the Center for Networked Configurable Command, Control, and Communications (NC4). He previously chaired the Department of Electrical and Computer Engineering at UCR. His research focuses on computer vision, machine learning, and robotics, with applications in autonomous systems and AI for science. Education: He holds a PhD in Electrical and Computer Engineering from the University of Maryland, College Park (2000), an MS in Systems Science and Automation from the Indian Institute of Science, Bangalore (1995), and a BEng in Electrical Engineering from Jadavpur University, Kolkata (1993). Research Interests: His work spans foundational areas of computer vision, image processing, and machine learning, with a focus on robot autonomy, statistical signal processing, and AI applications in science. His Vision and Learning Group has published over 250 peer-reviewed papers and leads DoD-funded research in AI and robotics. Recent Research Trends : His articles emphasize AI safety, domain adaptation, 3D scene understanding, and embodied agents. Themes include robustness to occlusion, ethical AI, and cross-modal learning. Awards : IEEE Fellow (2020), NAAI Fellow (2022), IAPR Fellow (2023), UCR Doctoral Mentoring Award (2019), UMD Distinguished Alumni (2020). Grants & Leadership : Leads a DoD Center of Excellence, oversees AI initiatives at RAISE, and collaborates with industry/government on AI, robotics, and medical imaging projects. His work on plant cell tracking and face recognition has gained media attention, including a PBS/National Geographic documentary. Labs & Teams : Directs the Vision and Learning Group (formerly Video Computing Group) and co-leads RAISE and NC4, fostering interdisciplinary research in AI and robotics.