جستجوی استاد راهنمای دانشگاهی

Andrea Bubkaمشاهده پروفایل

استاد

• Motion Sickness
• Virtual Reality
• Cognitive Psychology
• +۴ مورد دیگر

Andrea Bubka is a Professor of Psychology at Saint Peter's University, where she has held significant leadership roles including Psychology Department Chair, Interim Dean for the College of Arts and Sciences/School of Business Administration, and Director of Faculty Research and Sponsored Programs. Her academic career spans over two decades of research and administration at this Jesuit institution. Ph.D. from Adelphi University M.A. from Central Michigan University B.S. from Oakland University Dr. Bubka's research program bridges cognitive psychology and applied human factors, with foundational work on memory, language processing, and lexical ambiguity evolving into a sustained focus on motion sickness and visually-induced self-motion perception. Her investigations into cybersickness mechanisms in virtual environments and 3D displays have established her as a leading authority, addressing critical challenges in aviation, spaceflight simulation, and emerging display technologies. She employs rigorous experimental paradigms including optokinetic drums, flight simulators, and virtual reality systems to study sensory conflict and adaptation. Her publication trajectory reveals a strategic shift from theoretical cognitive studies to translational research with practical countermeasures. Recent work emphasizes wearable technology for motion sickness mitigation, visual-vestibular integration, and training protocols for high-stress environments like suborbital spaceflight. This evolution demonstrates her commitment to solving real-world problems through interdisciplinary collaboration. Dr. Bubka has secured competitive funding from the National Science Foundation and U.S. Department of Education for projects addressing motion sickness in virtual environments. Her teaching philosophy centers on experiential learning, where students conduct original research in statistics and cognitive psychology. Media outlets including The New York Times, Fox Business News, and the Science Channel have featured her expertise on motion sickness phenomena, highlighting the societal relevance of her work. Her laboratory investigations have produced innovative solutions such as visual fixation devices for motion sickness alleviation and protocols for reducing simulator sickness in virtual training systems. Current research continues to explore the intersection of visual processing, spatial orientation, and technology-induced discomfort, with implications for military, aerospace, and consumer VR applications.

• Visual Data Exploration
• Human-Computer Interaction
• Large-Scale Data Visualization
• +۵ مورد دیگر

Manuela Waldner is an Associate Professor in the Department of Computer Graphics at Technische Universität Wien (TU Wien). Her research focuses on visual data exploration, human-computer interaction, and immersive analytics. She leads projects like 'Visual Analytics and Computer Vision meet Cultural Heritage' (FWF doc.funds.connect) and 'Joint Human-Machine Data Exploration' (FWF). She teaches courses including 'Computer Graphics', 'Information Visualization', and 'Visual Research Methods'. Awards include the Best Paper Award at EuroVA 2024. Her work spans medical visualization, VR navigation, and bias analysis in AI models. She advises numerous PhD and Master's students, contributing to 43+ publications.

• Computer Science
• Virtual Reality
• Visualization
• +۴ مورد دیگر

Bernd Fröhlich is affiliated with the Virtual Reality and Visualization Research Group at Bauhaus-Universität Weimar, Germany. His work focuses on advancing virtual reality (VR), visualization techniques, and human-computer interaction. He leads research in multi-user VR scenarios, immersive telepresence, and collaborative systems. Key areas include group navigation strategies, spatial audio integration, and embodied conversational agents in virtual environments. Education details are not explicitly mentioned in the provided text. His research interests span VR system design, gesture-based interaction, and perception studies within immersive environments. He has collaborated extensively with institutions like Toshiba Research Europe and contributed to projects involving virtual museums, social VR interfaces, and real-time rendering techniques. Fröhlich’s publications emphasize empirical studies on user behavior in VR, such as perception of asynchrony in rhythmic stimuli and detection thresholds of gaze awareness. He has also explored technical challenges like volumetric calibration, ray casting optimization, and multi-resolution volume rendering. His work frequently addresses practical applications in collaborative learning, cultural heritage digitization, and industrial design validation. While no scientific awards or grants are listed here, his prolific publication record (164+ entries) reflects sustained contributions to the field. His research teams often investigate cutting-edge topics like binaural audio effects, immersive analytics tools, and gesture-driven interaction paradigms for large datasets.

Helen Huangمشاهده پروفایل

استاد

• Rehabilitation Robotics
• Neural-Machine Interface
• Robotic Prosthetics
• +۲ مورد دیگر

Helen Huang is the Jackson Family Distinguished Professor at North Carolina State University and Director of the Closed-Loop Engineering for Advanced Rehabilitation (CLEAR) Core. She holds a Ph.D. from Arizona State University and specializes in human-machine symbiotic systems, including robotic prosthetics and exoskeletons. Her research aims to enhance mobility for individuals with disabilities through neural interfaces and adaptive control. Research Focus: Her work spans rehabilitation robotics, neural-machine interfaces, and human-robot interactions, with applications in prosthetic limbs and mobility assistance devices. She co-directs the NIDILRR-funded Rehabilitation Engineering Research Center (ASSET). Awards: IEEE Fellow (2023) ALCOA Distinguished Engineering Research Award (2021) NSF CAREER Award (2012) Delsys Prize for Innovation in Electromyography (2008) Leadership: Serves on editorial boards for IEEE Transactions on Biomedical Engineering and Journal of NeuroEngineering and Rehabilitation.

Ciaran Eisingمشاهده پروفایل

دانشیار

• Computer Vision
• Artificial Intelligence
• Machine Learning
• +۷ مورد دیگر

Ciaran Eising is an Associate Professor in the Department of Electronics & Computer Engineering at the University of Limerick. His research focuses on computer vision, machine learning, and their applications in intelligent transportation systems, particularly autonomous driving and driver assistance systems. He is a member of the Centre for Sustainable Digital (Re)Manufacturing, Data-Driven Computer Engineering Research Centre, and Lero – the SFI Research Centre for Software. Education: PhD from the National University of Ireland Galway (2010), BE (2003). External roles include Senior Expert at Valeo Vision Systems (2009–2020) and Adjunct Lecturer at NUI Galway (2016–present). His expertise spans automotive vision systems, embedded systems, and sensor fusion. Research Interests: Driver Assistance Systems, Autonomous Driving, Object Detection, Motion Segmentation, and Sensor Fusion. Over 94 publications since 2007, with recent work on BEV perception, multimodal fusion, and DDoS mitigation in healthcare IoT. Grants/Advising: Accepting PhD students; collaborations include industry partnerships and cross-disciplinary research. Labs/Teams: Active in Lero and other university research centers, contributing to UN SDGs via sustainable transportation innovations.

Tuomas Välimäkiمشاهده پروفایل

پژوهشگر

• Robotics
• Automation Engineering
• Sensor Calibration
• +۳ مورد دیگر

Tuomas Välimäki is a Doctoral Researcher affiliated with the Faculty of Engineering and Natural Sciences. His research focuses on robotics and automation, with a strong emphasis on sensor calibration, visual navigation, and control systems for hydraulic manipulators. He holds a Master of Science (Technology) in Automation Engineering. Master of Science (Technology), Automation Engineering (2015) Lower-Degree Level Tertiary Education in Technology (2015) His research explores Robotics Engineering , Motion-based Calibration , and Probabilistic Movement Primitives . Key themes include optimizing sensor configurations for autonomous systems, trajectory tracking in hydraulic manipulators, and gaze-direction strategies for visual navigation tasks. His work intersects with Computer Vision , Control Systems , and Mechatronics . Tuomas’s publications highlight advancements in sensor fusion , multi-camera systems , and probabilistic motion planning . These studies focus on improving accuracy and efficiency in robotic perception and control, particularly for mobile platforms and industrial manipulators.

Joost C. Dessingمشاهده پروفایل

مدرس

• Eye-hand coordination
• Human-robot interactions
• Sports performance analysis
• +۳ مورد دیگر

Joost C. Dessing is a Lecturer at Queen's University Belfast's School of Psychology, affiliated with the EPIC research group. He holds a Marie Curie FP7 Career Integration Grant to study eye-hand coordination in spatial and temporal contexts, extending to applications in sports and human-robot interactions. His academic journey includes an MSc (2001) and PhD (2005) from Amsterdam's Faculty of Human Movement Sciences, followed by postdoctoral work in the Netherlands and Canada. Education: MSc in Human Movement Sciences, Vrije Universiteit Amsterdam (2001) PhD in Human Movement Sciences, Vrije Universiteit Amsterdam (2005) Research interests focus on neural mechanisms underlying eye-hand coordination, particularly in dynamic tasks like catching, hitting, and robotics collaboration. He employs behavioral experiments, TMS, and computational modeling in real/virtual environments. Recent work includes VR-based goalkeeper studies and deep learning for human-robot intention inference. Key research trends revealed through publications include advancements in gaze estimation frameworks, collaborative robotics datasets, and applied sports biomechanics. His work bridges fundamental neuroscience with practical applications in manufacturing and sports. Awards include the Best PhD Thesis award (2005), Center for Open Science Challenge Award (2018), and QUB Research Seed Fund (2021). He actively promotes Open Science, serving as co-lead for the UK Reproducibility Network. Advising/grants: Marie Curie FP7 Grant (2012-) Supervising 3 PhD students (e.g., Valkanidis on goalkeeping, Adebayo on human-robot learning) Labs/teams: EPIC research group, collaborations with EEECS department (Prof. McLoone).

• Automation and Control Systems
• Cyber-Physical Systems
• Networked Control Systems
• +۳ مورد دیگر

Professor Peng Shi is a faculty member in the School of Electrical and Mechanical Engineering at the University of Adelaide, specifically within the Department of Electrical and Electronic Engineering. He holds a Professor rank and is actively involved in research and academic leadership. Academic Rank: Professor Affiliations: University of Adelaide, School of Electrical and Mechanical Engineering Research Interests: Automation and control systems, cyber-physical systems, networked control systems, autonomous robotics, artificial intelligence, and control theory. Professor Shi has an extensive track record in research, with over 30 years of contributions to advanced control theory and interdisciplinary applications. He has authored 25 monographs, 800+ journal articles, and numerous conference papers, generating over 90,000 citations with an h-index of 164. His work emphasizes cyber-physical systems, human-machine collaboration, and resilient control under cyber attacks. His recent publications (2023–2025) focus on advanced control methodologies for robotics, power systems, and cybersecurity, addressing challenges such as fault diagnosis, consensus control, and secure estimation in networked environments. Scientific Awards: Fellowships from IEEE, IET, IMA, IEAust, and IETI Highly Cited Researcher (2014–present) Professor Shi advises students in advanced control systems and collaborates on grants related to smart grids, robotics, and cybersecurity. He leads research groups focused on resilient control systems and has developed methodologies for distributed control and fault-tolerant designs.

Mehrdad Dianatiمشاهده پروفایل

استاد

• Connected and Autonomous Systems
• Autonomous Vehicles
• Artificial Intelligence
• +۴ مورد دیگر

Professor Mehrdad Dianati is a faculty member at Queen's University of Belfast in the School of Electronics, Electrical Engineering and Computer Science. His research focuses on Connected and Autonomous Systems, Autonomous Vehicles, Artificial Intelligence, Future Networks (5G/6G), and Future Transport Systems. He actively supervises PhD students in these areas and has collaborated with institutions like the University of Surrey and University of Waterloo. His work emphasizes cybersecurity in autonomous systems, cooperative perception for driving applications, and advanced communication protocols for vehicular networks. Key contributions include publications on anomaly detection in autonomous vehicles, motion planning using fluid dynamics, and simulation techniques for sensor data. Research Interests: Autonomous Vehicle Cybersecurity 3D Object Detection in Driving Scenarios Cooperative Perception and V2X Communication Deep Learning for Trajectory Prediction Recent Articles: Focus on cybersecurity, motion planning algorithms, and sensor simulation for autonomous systems Exploration of future networks (6G) and metaverse integration

Alexia Toskos Dilsمشاهده پروفایل

دانشیار

• Cognitive Psychology
• Language Comprehension
• Cultural Cognition
• +۳ مورد دیگر

Alexia Toskos Dils is an Associate Professor of Psychology at Purchase College , State University of New York (SUNY), affiliated with the School of Natural and Social Sciences . Her research investigates individual differences in how perceptual and motoric mechanisms influence higher-level cognitive functions, particularly focusing on language comprehension and cultural structuring of mental representations. Key areas of study include: Cognitive Psychology Psycholinguistics Cultural Cognition Perceptual-Motor Integration Social Perception Visual Motion Processing Alexia earned her PhD from Stanford University and previously worked as a postdoctoral researcher there. She has published extensively on topics such as motion aftereffects from language, folk economic beliefs, and temporal context effects in attractiveness judgments. Her work appears in journals like Proceedings of the Cognitive Science Society , Group Processes and Intergroup Relations , and Psychonomic Bulletin & Review .

• Cognitive Neuroscience
• Parkinson's Disease
• Biopsychology
• +۷ مورد دیگر

Nathaniel Miller is an Associate Professor in the Department of Behavioral Sciences at the College of Arts, Sciences and Education, University of Michigan-Flint. His research bridges cognitive neuroscience, psychology, and biomedical engineering, with a strong focus on Parkinson's disease and the application of technology in symptom monitoring and mobility enhancement. His research interests include: Cognitive Neuroscience and Biopsychology Parkinson’s Disease Interventions Use of Technology in Parkinson Disease Technology Use in Older Adults Aging and Motor Control Signal Processing for Medical Diagnostics His recent publications (2018–2025) reveal a consistent trajectory in developing and validating mobile and wearable technologies for assessing tremor, postural stability, and gait in Parkinson’s patients. He frequently collaborates with Charlotte Tang and Linda Zhu, integrating human-computer interaction principles with clinical neuroscience. His work appears in journals such as ACM Transactions on Accessible Computing , Parkinsonism and Related Disorders , and ASME Journal of Engineering and Science in Medical Diagnostics and Therapy . He is currently involved in NIH-funded research on mobile self-tracking applications for Parkinson’s patients and previously led a community-based exercise intervention study funded by Blue Cross Blue Shield. His teaching includes Cognitive Neuroscience, Cognitive Psychology, and Research Methods. Grants and Funding: Validating a mobile self-tracking application designed for People with Parkinsons – NIH, $429,000 (2024–2026), Co-Investigator UM-Flint CIT START Fund – UM-Flint, $0 (2023), Co-PI Effectiveness Assessment of a Community Based Assisted Exercise Intervention for Parkinson's Disease – Blue Cross Blue Shield, $67,263 (2014–2015), PI He has no listed scientific awards in the provided text. His lab focuses on interdisciplinary research involving mobile health technologies, signal processing, and patient-centered design for neurodegenerative conditions.

• Mathematics
• Probability and Statistics
• Stochastic Processes
• +۳ مورد دیگر

Marina Alexandra Pedro Andrade is an Associate Professor in the Department of Mathematics at ISCTE - University Institute of Lisbon and an Integrated Researcher at ISTAR-Iscte (Research Center in Information Sciences, Technologies and Architecture). Her academic qualifications include a PhD in Quantitative Methods (ISCTE-IUL, 2007), a Master's in Applied Mathematics - Probability and Statistics (Faculty of Sciences - University of Lisbon, 2001), and a Bachelor's in Applied Mathematics - Probability and Statistics (Faculty of Sciences - University of Lisbon, 1998). Her research focuses on Mathematics , Probability and Statistics , Stochastic Processes , Bayesian Statistics , and Computational Modeling , with applications spanning forensic science, drug design, architectural rehabilitation, and ergonomics. She employs advanced statistical methods to solve real-world problems, such as DNA analysis for forensic identification and mathematical modeling of queueing systems. Her publications reflect interdisciplinary collaboration, with recent work exploring virtual reality's impact on human behavior, problem-based learning in mathematics education, and proteasome inhibitor design. She frequently utilizes Bayesian networks, stochastic modeling, and computational frameworks across diverse domains. In academic management, she serves on the Scientific Council (2023-2027) and has organized conferences like the International Conference on Advanced Research in Technologies, Information, Innovation and Sustainability (ARTIIS 2023). She coordinates courses including Mathematics I/II (Economics) and Probabilities and Stochastic Processes (Computer Engineering). She has supervised 1 doctoral thesis and 8 master's projects, covering topics from third-sector strategy to UAVs in firefighting. Her research project 'Transformation Grammars' (2004-2019) developed shape-grammar methodologies for housing rehabilitation in collaboration with European institutions.

• Visual Perception
• Color Perception
• Brightness Constancy
• +۳ مورد دیگر

Sunčica Zdravković is a full professor at the Department of Psychology within the University of Novi Sad's Faculty of Philosophy and Faculty of Technology. Her research focuses on visual perception, particularly brightness and color perception under varying illumination conditions, using psychophysical and behavioral methods. PhD in Psychophysics: Visual Perception (Rutgers University, 2002) MSc in Cognitive Neuroscience (Rutgers University, 2000) BSc in Psychophysics: Visual Perception (University of Belgrade, 1994) Her work investigates how humans maintain object identity through changing lighting conditions, employing classical psychophysics, reaction time experiments, and eye movement measurements. Recent publications analyze illumination frameworks, perceptual grouping, and neural processing of brightness constancy. DPS Award 'Ljuba Stojić', 2010 Visiting Professor at Swansea University, 2012-2013 Visiting Scientist at Max Planck Institute, 2004 Scholarships from Italian Ministry of Science (2003) and Serbian Ministry of Science (1994-1995) She teaches courses on Perception, Cognitive Neuroscience, and Experimental Psychology at undergraduate, master's, and doctoral levels. Her lab explores perceptual illusions, spatial-temporal dynamics, and neurocognitive mechanisms of vision.

• Information Visualization
• Data Visualization
• Graph Visualization
• +۵ مورد دیگر

Professor Jessie Kennedy is an Enhanced Associate at Edinburgh Napier University's School of Computing Engineering and the Built Environment, specializing in information visualization and human-computer interaction. She is a prominent member of the Centre for Algorithms, Visualisation and Evolving Systems, with extensive contributions to visualization theory and practice across multiple domains. Her research interests focus on Information Visualization , Network Visualization , Biological Visualization , and Argument Visualization . Professor Kennedy has developed innovative visualization techniques for complex data structures including multiple overlapping classification hierarchies, dynamic networks, and Bayesian networks. Her work bridges theoretical foundations with practical applications in cybersecurity, biology, and education. Professor Kennedy's publications reveal consistent contributions to visualization theory and applications over two decades. Her recent work includes visualization for insider threat detection, argument exploration techniques, and embodied dance learning systems through the CAROUSEL+ project. Her research demonstrates an evolution from foundational visualization techniques to complex applications in diverse domains including biological data, cybersecurity, and virtual reality environments. Professor Kennedy has been instrumental in securing significant research funding from organizations including the European Commission and Innovate UK, with projects totaling over £1.3 million. Her Scottish Woodlands KTP project focused on unified access to forest management data, while the CAROUSEL+ project (funded by Horizon 2020) explores how AR and AI technologies can enhance social interaction in virtual and hybrid events. She leads the Centre for Algorithms, Visualisation and Evolving Systems research group which has produced over 78 outputs. Her laboratory work focuses on developing practical visualization tools that address real-world challenges in data exploration and understanding, with particular emphasis on biological data visualization, network analysis, and educational applications.

Vassilis Papakostopoulosمشاهده پروفایل

استادیار

• Ergonomics
• Cognitive Science
• Human Factors Engineering
• +۴ مورد دیگر

Vassilis Papakostopoulos is an Assistant Professor at the Department of Product and Systems Design Engineering, University of the Aegean, specializing in Ergonomics. His academic background includes a PhD in Cognitive Psychology (Panteion University, 2008), MSc in Ergonomics (Loughborough University, 1998), and BSc in Psychology (University of Crete, 1996). He has extensive research experience in driver behavior analysis, human-robot interaction, and workplace design. His research focuses on visual perception, motor coordination, and ergonomics applications in transportation systems. Key areas include advanced driver assistance systems (ADAS), human factors in autonomous vehicles, and safety in urban environments. He has contributed to major EU-funded projects such as interACT, ASK-IT, and PReVENT, addressing challenges in traffic safety and human-machine interaction. Teaching responsibilities include undergraduate and graduate courses on ergonomics, user-centered design, and product development. He has published over 20 peer-reviewed articles, emphasizing holistic approaches to driver behavior analysis and interdisciplinary ergonomics applications. As Greece’s representative in the Centre for Registration of European Ergonomists (CREE), he promotes professional standards in ergonomics practice. Recent research trends include autonomous vehicle interactions, motorcycle safety, and organizational policies affecting risky driving behaviors. His work bridges historical ergonomic principles (e.g., ancient Athenian court design) with modern challenges in smart city infrastructure and human-robot collaboration.