جست‌وجوی استاد و پژوهشگر

David Chalmersمشاهده پروفایل

استاد

• Philosophy of Mind
• Consciousness
• Cognitive Science
• +۸ مورد دیگر

David Chalmers is a University Professor of Philosophy and Neural Science at New York University and co-director of the Center for Mind, Brain, and Consciousness. He is also an Honorary Professor of Philosophy at the Australian National University and co-director of the PhilPapers Foundation. His work bridges philosophy, cognitive science, and emerging technologies. Research Interests: Chalmers is best known for his work on the 'hard problem of consciousness'—the challenge of explaining subjective experience. His research spans philosophy of mind, metaphysics, epistemology, philosophy of language, and the foundations of physics and AI. He actively explores the implications of virtual reality, simulation theory, and large language models for philosophy and consciousness studies. Recent Research Trends: His recent publications focus on AI consciousness, the ethical treatment of AI systems, the simulation hypothesis, and the nature of thought in language models. These works reflect a growing engagement with artificial intelligence and digital metaphysics, positioning philosophy at the forefront of technological inquiry. Scientific Awards: While no specific awards are listed in the provided text, Chalmers is widely recognized as one of the most influential contemporary philosophers, particularly in philosophy of mind. Advising and Grants: He mentors students and postdocs, though specific names are not listed. His leadership in the Center for Mind, Brain, and Consciousness and the PhilPapers Foundation suggests active grant-funded research and academic collaboration. Labs and Teams: He co-directs the Center for Mind, Brain, and Consciousness at NYU and the PhilPapers Foundation , both of which support research, publications, and global philosophical discourse in philosophy of mind and related fields.

Otto Lappiمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Science
• Human Performance
• Gaze Control
• +۳ مورد دیگر

Dr. Otto Lappi is a Research Fellow at the University of Helsinki's Department of Digital Humanities, Faculty of Arts. His work bridges cognitive science and human performance in complex dynamic tasks, particularly focusing on predictive processing in visuomotor control. PhD in Cognitive Science Title of Docent at University of Helsinki Academy Research Fellow (2020-2025) His research explores: Cognitive mechanisms in high-speed sports and driving Predictive gaze strategies and steering control Flow states in skill acquisition VR and eye-tracking applications in archaeomusicology Neural substrates of domain expertise Recent publications analyze: Flow-state dynamics in visuomotor learning Predictive gaze behavior in automated driving Computational models of attention in distracted driving Chunking mechanisms in high-speed sports performance Scientific contributions include: Academy Research Fellow (Research Council of Finland) Editorial work on high-performance cognition Organizing cognitive science workshops As doctoral supervisor, he has guided: Samuel Tuhkanen (Predictive Gaze and Steering) Jesse Kuokkanen (Mechanistic Computationalism) Ida Maasalo (Driver Behavior) Markus Mattsson (Psychometrics)

Heather Petcovicمشاهده پروفایل

استاد

• Geoscience Education
• Field-Based Learning
• Cognitive Development in Geology
• +۳ مورد دیگر

Dr. Heather Petcovic is Chair and Professor in the Department of Geological and Environmental Sciences at Western Michigan University, with a joint appointment in the Mallinson Institute for Science Education. Her research bridges geoscience and education, focusing on field-based learning, cognitive development, and K-12 teacher training. Ph.D., Oregon State University (2004) M.S., Oregon State University (2000) B.A., Smith College (1995) Her research explores how field experiences shape geoscientists' cognition, integrating mixed methods to study spatial reasoning, mental models, and instructional design. She leads NSF-funded initiatives to democratize geoscience education at two-year and minority-serving institutions. Recent publications highlight her expertise in spatial thinking, virtual field experiences, and hydrogeology pedagogy. Awards include the National Association of Geoscience Teachers' Distinguished Lecturer. She mentors graduate students and contributes to geoscience education policy through roles like former associate editor for the Journal of Geoscience Education .

• Health Communication
• Public Health Messaging
• Media Effects
• +۵ مورد دیگر

Laura Crosswell serves as Associate Professor of Health Communication and Director of the Center for Advanced Media Studies at the University of Nevada, Reno's Reynolds School of Journalism and Media Studies. She holds a joint appointment with the university's School of Medicine, reflecting her interdisciplinary approach to health communication research. Crosswell previously taught at the College of Charleston, Louisiana State University, and Arizona State University before joining UNR. Her research focuses on the intersection of consumerism, persuasive texts, and public health messaging, with particular attention to how commercial interests influence health communication. Crosswell frequently employs advanced eye-tracking technology to examine physiological and psychosocial responses to media content, especially in pharmaceutical advertising and public health campaigns. Her book Politics, Propaganda, and Public Health: A Case Study in Health Communication and Public Trust analyzes Merck's Gardasil vaccination campaign, exploring how corporate interests shape public health messaging. Crosswell's recent publications reveal consistent focus on contemporary health communication challenges, particularly surrounding the COVID-19 pandemic, vaccine hesitancy, and environmental health risks. Her work spans multiple disciplines including communication, public health, psychology, and medical education, often employing innovative methodologies like virtual reality simulations and biometric measurement. Recipient of Organizational Behavior Management (OBM) Innovative Research Award, 2023 Co-author of scholarly book on pharmaceutical marketing and public health trust Regular contributor to journals including Critical Public Health , Public Health Perspectives , and Journal of Environmental Studies and Sciences Crosswell has received recognition for her innovative research approaches that bridge communication theory with practical health applications. Her work examining virtual reality applications in healthcare education demonstrates her commitment to developing new methodologies for training healthcare professionals. With numerous forthcoming publications for 2025, she remains an active contributor to the field of health communication research.

Lynne Greweمشاهده پروفایل

استاد

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۳ مورد دیگر

Lynne Grewe serves as a Professor in the Department of Computer Science at California State University, East Bay, where she maintains active research and teaching responsibilities with current office hours and contact information. Her work bridges theoretical computer science with real-world applications across healthcare, education, and emergency response domains. Her research portfolio centers on three interconnected thrusts: Medical Technology : Development of computer vision systems for stroke detection through facial pattern analysis (StrokeChange), infrared-based disease monitoring, and assistive navigation tools for the visually impaired (Seeing Eye Drone) Educational Innovation : Creation of multimodal systems like ULearn that detect student frustration using deep learning, alongside community college partnerships to broaden participation in computing Sensor Fusion Applications : Integration of multi-modal data for disaster response, infrastructure monitoring, and mobile health platforms using advanced machine learning techniques Publication analysis reveals consistent evolution toward real-time, deployable systems—particularly mobile health applications and educational tools—while maintaining foundational work in sensor fusion. Her 2020-2024 output shows increasing emphasis on healthcare applications (40% of recent work) and educational technology (25%), often combining computer vision with mobile platforms. Grewe demonstrates significant commitment to educational equity through the Faculty in Residence program, collaborating with community colleges to prepare underrepresented students for computing careers. Her Google partnership and focus on practical applications indicate strong industry engagement, though specific grant details aren't documented in source materials. Current projects suggest ongoing expansion into in-situ health monitoring and AI-driven educational support systems.

• Quality of Experience
• Video Quality Assessment
• Augmented Reality
• +۷ مورد دیگر

Kjell Brunnström serves as an Adjunct Professor in the Department of Computer and Electrical Engineering (DET) at Mid Sweden University, based in Sundsvall. He maintains active affiliation with the STC Research Centre, contributing to cutting-edge research in multimedia quality assessment and immersive technologies through extensive international collaborations. His research centers on Quality of Experience (QoE) with specialized focus on 3D video systems , virtual reality environments , and augmented teleoperation interfaces . He pioneers methodologies for subjective and objective video quality evaluation, particularly examining human factors in sports broadcasting (Video Assistant Referee systems), mining applications, and automotive displays. His work bridges theoretical psychophysical models with industrial implementations through standards development like ITU-T Rec. P.919. Analysis of his 15 most recent publications reveals consistent investigation into latency effects, distortion impacts, and viewing condition variables across emerging media formats. Key application domains include sports video refereeing, 360-degree video systems, VR simulators for remote machinery control, and adaptive streaming protocols, demonstrating strong industry-academia translation. Scientific Awards: No awards documented in source material. Advising and Grants: Student supervision and grant funding details were not disclosed in available documentation. Labs and Teams: Brunnström operates within Mid Sweden University's STC Research Centre framework, collaborating with global institutions including Royal Institute of Technology (Sweden), University of Surrey (UK), and multiple European research consortia. His work directly informs ITU standardization efforts and industrial implementations in broadcast and automotive sectors.

• Robotics
• Cognitive Systems
• Bio-inspired Robotics
• +۴ مورد دیگر

Constantin Uhde is a PhD candidate at the Institute for Cognitive Systems (ICS) of the Technical University of Munich (TUM). His research focuses on integrating cognitive approaches with robotic planning to achieve robust, unsupervised task execution. He holds a Master's degree in Robotics, Cognition, and Intelligence from TUM and a Bachelor's in Mechatronics from Friedrich-Alexander University Erlangen. Research Interests include bio-inspired robotics, human-robot interaction, virtual reality applications in robotics, and path planning using multimodal sensor data. His work bridges theoretical cognitive science with practical robotic systems, emphasizing causal reasoning and transfer learning. Uhde teaches as a lecturer for the Advanced Seminar & Practical Projects in Cognitive Systems and has published in top-tier conferences such as IEEE CASE, IROS, and ICRA. His contributions range from visuomotor learning frameworks to benchmark datasets for symbolic grounding in robotics. He is part of the ICS lab team developing systems for humanoid robotics and neuroengineering applications, contributing to platforms like the Compact Omni-directional Mobile Platform and EEG Laboratory setups.

Josep Casanovasمشاهده پروفایل

استاد

• Modelling and Simulation
• Internet and Information Systems
• Urban Mobility
• +۴ مورد دیگر

Josep Casanovas is a Full Professor at the Statistics and Operations Research Department of the Technical University of Catalonia (UPC), affiliated with the Barcelona School of Informatics. He previously served as head of inLab FIB (2012-2020) and as dean (1998-2004) and vice-rector (2006-2011) of UPC, leading strategic initiatives in university governance and ICT policies. His research focuses on Modelling and Simulation , Internet and Information Systems , and Urban Mobility . He has led projects for the European Union, including C-ROADS Spain, REMEDiAL, and ECHORD++, addressing intelligent transport, software automation, and robotic innovation. Recent publications highlight his work on agent-based simulation for urban health, deep learning applications in traffic and energy savings, and wildfire management tools . He co-directs LogiSim and coordinates the Severo Ochoa Research Excellence Program at the Barcelona Supercomputing Center (BSC-CNS).

Alberto L. Sangiovanni-Vincentelliمشاهده پروفایل

استاد

• Cyber-Physical Systems
• Design Automation
• Embedded Systems
• +۷ مورد دیگر

Alberto L. Sangiovanni-Vincentelli holds the Edgar L. and Harold H. Buttner Chair of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He is a pioneer in Electronic Design Automation (EDA) and co-founder of Cadence and Synopsys. His research focuses on Cyber-Physical Systems (CPS), embedded systems, hybrid systems, and formal methods for AI. He has authored over 800 papers and 17 books, with major contributions to design automation and methodologies. Education: Dr. Ing., EECS, Politecnico di Milano (1971) Research interests include design methodologies, CPS, and AI integration. He has received numerous awards, including the IEEE James Clerk Maxwell Medal (2008) and ACM/IEEE A. Richard Newton Technical Impact Award (2009). He serves on multiple corporate boards and advisory councils, including the Strategic Committee of the Italian Strategic Fund and the Executive Committee of the Italian Institute of Technology. His work spans academia, industry, and policy, with a focus on innovation ecosystems and CPS design automation. Awards: Over 20 major honors, including Fellowships from IEEE and ACM.

Paul Craigمشاهده پروفایل

استاد

• Molecular Visualization
• Computational Biochemistry
• Proteins
• +۳ مورد دیگر

Dr. Paul Craig is a Professor in the School of Chemistry and Materials Science at RIT's College of Science. He holds a B.S. from Oral Roberts University and a Ph.D. in Biological Chemistry from the University of Michigan. His research focuses on molecular visualization, computational biochemistry, and STEM education, with notable contributions to the BASIL CURE initiative and Python scripting workshops for biochemistry education. He has led the development of simulation tools like Electro2D-Tandem MS and JBioFramework, and co-founded the Human Visualization Project, a multidisciplinary effort to create 3D anatomical models. Education: B.S. in Chemistry (1979, Oral Roberts University); Ph.D. in Biological Chemistry (1985, University of Michigan); Postdoctoral studies at Henry Ford Hospital (1985-1988). Research interests emphasize integrating computational methods and wet-lab techniques to advance biochemistry education. He actively promotes inclusive environments for Deaf and hard-of-hearing students in scientific research. Recent work includes NSF-funded projects to expand the BASIL CURE program and develop Python-based educational resources. Grants: $588,000 NSF grant (2023) for expanding BASIL CURE nationally. Lab teams include collaborators across RIT's colleges in science, engineering, and art/design. Labs/Teams: BASIL CURE Consortium, Human Visualization Project, JBioFramework Development Group, and Python Scripting for Biochemistry Initiative.

Yannick Hillمشاهده پروفایل

استادیار

• Sports Psychology
• Human Performance
• Resilience
• +۳ مورد دیگر

Yannick Hill is an Assistant Professor at the Faculty of Behavioural and Movement Sciences, Vrije Universiteit Amsterdam, with affiliations in the Learning and Performance department. He holds concurrent roles as Assistant Professor at IBBA and AMS-Sports. His research focuses on resilience, stress adaptation, and human performance in sports and virtual environments. He is a member of institutions like the Lyda Hill Institute for Human Resilience (Colorado), Instituut voor Sport- en Prestatiepsychologie (Groningen), and Amsterdam Institute of Sport Science (AISS). His work bridges psychology, sports science, and technology, emphasizing dynamic systems and personalized approaches to resilience. Research interests include stressors' impact on motor performance, home advantage analysis in sports, and immersive VR applications. He has published extensively on topics such as pressure training, network analysis in education, and resilience frameworks. Teaching includes courses like 'Sportpsychologie' and 'Gespreksvoering in de Sportpsychologie'. Recent articles highlight themes like stress protocols in gymnastics, gender differences in field hockey performance, and VR's role in medical training. His work emphasizes practical recommendations for technology integration and ethical considerations in resilience research.

• Mechanical Engineering
• Manufacturing Engineering
• Finite Element Analysis
• +۵ مورد دیگر

Ambarish Kulkarni is an Associate Professor at Swinburne University of Technology's School of Engineering, specializing in mechanical design, virtual/augmented reality (VR/AR), and electric vehicle (EV) technologies. His research focuses on product design, EV drivetrains, battery packaging, medical devices, and bushfire shelter design. He holds a PhD from Swinburne, a Master's from Queensland University of Technology, and a Bachelor's from the Indian Institute of Industrial Engineering. Research interests span finite element analysis, bio-mechanical modeling, and Industry 4.0 applications. Notable projects include Bombardier Tram development, therapeutic sleep systems, and smart manufacturing frameworks. He has supervised over 20 HDR students on topics ranging from predictive maintenance to extended reality in education. Awards include the Teaching Excellence Award (2016) and Premier's Design Awards for medical and safety innovations. He is a Fellow of the Institution of Engineers (Australia) and actively involved in professional bodies like SAE International. Grants funded projects on hydrogen generators, smart manufacturing systems, and graphene supercapacitors. His work bridges academia and industry through collaborations with firms like Bambach Wires and iMOVE Australia.

Alex Baldwinمشاهده پروفایل

استادیار

• Computational Neuroscience
• Visual Psychophysics
• Binocular Vision
• +۶ مورد دیگر

Alex Baldwin is an Assistant Professor at McGill University within the Department of Ophthalmology & Visual Sciences. He serves as a Junior Scientist in the Brain Repair and Integrative Neuroscience (BRaIN) program at the Research Institute of the McGill University Health Centre. Supervisor in McGill's Integrated Program in Neuroscience (IPN) Supervisor in Quantitative Life Sciences program Laboratory located at Montreal General Hospital Research focuses span computational neuroscience, visual psychophysics, and binocular vision mechanisms , particularly examining: Amblyopia and spatial scrambling Aging-related changes in stereopsis Visual noise adaptation Contrast summation models Contour integration processes Digital therapeutic development His lab employs Matlab/Octave (Psychtoolbox), Python (PsychoPy), and Unity/C# for experimental design, with Python (Jupyter) and Matlab (Palamedes Toolbox) for data analysis. Collaborations include Wenzhou Medical University. Scientific recognition includes: NSERC Discovery Grant (2022-2027) HBHL Ignite Funding FRQ-S Vision Health Research Network Pilot Training opportunities available for undergraduate (PSYC-396/COGS-444/COGS-401) and graduate students , with current advisees working on topics including: Visual snow syndrome neural mechanisms Binocular imbalance in aging Contour integration modeling Adaptive strategies in amblyopia Dichoptic ebook therapy development

Paul A. Craigمشاهده پروفایل

استاد

• Computational Biochemistry
• Bioinformatics
• Structural Biology
• +۵ مورد دیگر

Paul A. Craig is a Professor at the School of Chemistry and Materials Science within the College of Science at Rochester Institute of Technology (RIT). He holds a Ph.D. in Biological Chemistry from the University of Michigan and completed a postdoctoral fellowship at Henry Ford Hospital. His career spans over two decades at RIT, where he also serves as Department Head. BS, Chemistry (Oral Roberts University, 1979) PhD, Biological Chemistry (University of Michigan, 1985) Postdoc, Biophysical Chemistry of Blood Clotting (Henry Ford Hospital, 1985–1988) Rochester Institute of Technology (1993–present) Research Interests Dr. Craig’s work focuses on integrating computational tools with wet-lab techniques to enhance biochemistry education. He pioneered the BASIL (Biochemistry Authentic Scientific Inquiry Lab) curriculum, which fosters hypothesis-driven learning through protein structure-function analysis. His projects include: Python Scripting Workshops : Teaching coding skills via Jupyter Notebooks for biochemistry and molecular biology applications. Human Visualization Project : Collaborating across RIT’s College of Science, College of Art and Design, Golisano College of Computing and Information Sciences, and Kate Gleason College of Engineering to develop a 3D virtual human model. JBioFramework : Java-based simulations for electrophoresis, chromatography, and mass spectrometry. Scientific Awards Dr. Craig has been recognized with the ASBMB Fellow (2022) for his contributions to education and diversity. Advising and Grants He has mentored numerous students in biochemistry and computational projects. In 2023, he secured an NSF grant ($588,000) to expand the BASIL CURE program nationwide. RIT also received a NIH DEIA award (2024) for diversity and inclusion efforts in biomedical research, reflecting his advocacy for deaf and hard-of-hearing scientists. Labs and Teams Dr. Craig leads the BASIL Research Group, collaborating with faculty and students across RIT’s multidisciplinary Human Visualization Project. His team includes contributors to the Electro2D-Tandem MS simulation software, written entirely by RIT students.

Christian L. Vestergaardمشاهده پروفایل

پژوهشگر

• Statistical Physics
• Biophysics
• Computational Neuroscience
• +۱۲ مورد دیگر

Christian L. Vestergaard is a CNRS researcher (Researcher rank) in the Decision and Bayesian Computation group within the Department of Neuroscience at the Institut Pasteur, Paris. He holds a PhD in theoretical biophysics from the Technical University of Denmark and has held postdoctoral positions at the Institut Pasteur, Center for Theoretical Physics (Marseille), and DTU Nanotech. He currently leads research projects on neural connectomes and numerical methods for network analysis. Education: PhD in Theoretical Biophysics, DTU Nanotech, Technical University of Denmark (2008–2012) Master’s in Physics and Biophysics, Niels Bohr Institute, University of Copenhagen (2003–2008) Exchange Semester, UPMC, Paris (2007) Second-Year Master’s in Complex Systems His research lies at the intersection of statistical physics, biophysics, and computational neuroscience. He focuses on data-driven modeling of complex dynamical systems, particularly in biological contexts such as neural networks, single-molecule dynamics, and behavioral analysis. His work emphasizes the development of statistical and computational methods to infer structure-function relationships in biological systems. The analysis of his recent publications reveals a strong trend toward methodological innovation in network science, Bayesian inference, and machine learning applied to neuroscience and biophysics. Key themes include temporal network modeling, stochastic processes, information maximization in decision-making, and high-throughput behavioral phenotyping in Drosophila. His work combines theoretical rigor with practical applications in biological data analysis. Scientific Awards and Grants: ANR JCJC grant — SiNCoBe (2021–2024) ANR Inception grant — BitesGoingViral (2022–2024) ANR PR[AI]RIE Springboard Chair (2021–2023) ACIP Inter-Institut Pasteur Concerted Actions grant — ETHOMOS (2019–2021) Pasteur-Roux-Cantarini postdoctoral fellowship (2017–2019) Copenhagen Graduate School pre-doc stipend (2008) Christian L. Vestergaard actively collaborates with principal investigators such as Jean-Baptiste Masson and François Laurent. He has been involved in advising PhD students and postdoctoral researchers within the lab, contributing to interdisciplinary projects that integrate physics, computer science, and biology. His group utilizes advanced computational tools and software such as TRamWAy and LarvaTagger for analyzing large-scale biological datasets. Laboratories and Research Teams: Decision and Bayesian Computation Lab, Institut Pasteur (current) Statistical Physics and Complex Systems team, CPT Marseille (former) Stochastic Systems and Signals group, DTU Nanotech (former)