جست‌وجوی استاد و پژوهشگر

Frederique Vanheusdenمشاهده پروفایل

مدرس ارشد

• Biomedical Signal and Image Processing
• Cardiac Electrophysiology
• Auditory Function Analysis
• +۳ مورد دیگر

Dr. Frederique Vanheusden is a Senior Lecturer and Course Leader for the MSc Medical Engineering program at Nottingham Trent University , affiliated with the School of Science & Technology and Department of Engineering . His research focuses on biomedical signal and image processing, particularly in cardiac and auditory domains. Education: BSc in Biomedical Sciences, MSc in Bio-electronics and Nanotechnology (University of Hasselt), MSc in Molecular Medicine (Cranfield University), PhD in Engineering (University of Leicester) Research Collaborations: Kumoh National Institute of Technology (South Korea), TU Delft (Netherlands), University of Southampton, Imperial College London, Interacoustics (Denmark), and others Research Areas include: Cardiac Electrophysiology: Non-invasive AF source estimation via BSPM, cardiac scar tissue quantification from MRI, drug-induced cardiac toxicity modeling Auditory Function: Objective hearing evaluation through eFFRs and cortical entrainment, electrophysiological mechanisms of hearing/cognitive impairment Stress Monitoring: Multi-modal ECG/EEG/EMG analysis for discomfort assessment in vibration exposure and eSports stress His work has produced significant publications in journals like Frontiers in Physiology , PLoS One , and Ear and Hearing , covering diverse applications from cardiac ablation to fetal movement monitoring. Current projects involve cardiac signal processing, auditory neuroscience, and stress perception modeling. Contact: frederique.vanheusden@ntu.ac.uk | +44 (0)115 848 8391

Václav Hlaváčمشاهده پروفایل

استاد

• Computer Vision
• 3D Scene Reconstruction
• Pattern Recognition
• +۸ مورد دیگر

Václav Hlaváč is a Professor of Engineering Cybernetics at the Czech Institute of Informatics, Robotics and Cybernetics (CIIRC), part of the Czech Technical University in Prague (CTU). He serves as Head of the Department of Robotics and Machine Perception, Deputy Director of CIIRC, and holds roles in university governance. His work bridges academic leadership with cutting-edge research. PhD in Control Engineering (CTU, 1987) Professor at CTU (1998–present) Founder of the Center for Machine Perception (1996) Research Interests Hlaváč specializes in: Computer Vision – 3D scene reconstruction, video sequence analysis, and image processing Pattern Recognition – Statistical and structural methods, ordinal classification Autonomous Robotics – Manipulation of soft materials and industrial applications His recent work focuses on robotic cable segmentation , digital twins for manufacturing, and event camera technology . Publications span journals like Information Sciences and IEEE Robotics and Automation Letters , with over 18,000 Google Scholar citations. Scientific Awards Research fellowship, Institute of Control Problems (Moscow, 1986) Research fellowship, University of Sussex (1989) Visiting professorships at TU Vienna (1993, 1995) Teaching & Publications He authored the textbook Image Processing, Analysis, and Machine Vision (4th ed, 2015) and maintains teaching resources in English and Czech . His Center for Machine Perception has been active since 1996.

• Oral Health
• Periodontology
• Implant Dentistry
• +۳ مورد دیگر

Stefan Renvert is a Senior Professor in Oral Health Science at Kristianstad University's Faculty of Health Science, Department of Oral Health. He serves as subject representative for the "Oral Health - Public Health - Quality of Life (OHAL)" research group and maintains an extensive publication record with 183 research outputs since 1986, including 152 articles and 10 review articles. His h-index stands at 63 with 14,956 Scopus citations. Renvert's research centers on periodontology and implant dentistry, with specialized expertise in peri-implant diseases. His fingerprint reveals dominant focus areas: Implant Dentistry (100%), Peri-implantitis (93%), Periodontitis (54%), and Peri-implant mucositis (32%). He investigates clinical parameters like probing depth and bleeding on probing while examining intersections between oral health, public health initiatives, and quality-of-life metrics across aging populations. Recent publications demonstrate three converging research streams: 1) Clinical trials evaluating Er:YAG laser versus ultrasonic treatments for peri-implant mucositis; 2) Longitudinal analyses of oral health trajectories in aging cohorts (60-72 years); 3) Psychosocial studies on self-perceived oral health and orofacial appearance in elderly populations. His work consistently emphasizes evidence-based clinical protocols and population-level oral health outcomes. Renvert has supervised 55 graduate students and leads the OHAL research group, which coordinates international collaborations across six similar research profiles. His clinical studies frequently involve multi-center partnerships, with recent projects examining peri-implantitis treatment efficacy and aging-related oral health determinants through Sweden's Karlskrona cohort.

Madalina Diaconuمشاهده پروفایل

مدرس

• Environmental aesthetics
• Phenomenology
• Weather and atmospheric perception
• +۵ مورد دیگر

Mădălina Diaconu is a private lecturer (Privatdozentin) at the University of Vienna, cross-appointed to the Institute of Philosophy (Faculty of Philosophy and Education) and the Institute of Romance Studies (Faculty of Philology and Cultural Studies). She is an Austrian philosopher and aesthetician of Romanian origin whose work bridges environmental aesthetics, phenomenology, sensory studies, and intercultural philosophy. Education and Academic Status Doctor of Philosophy (twice, “Dr. Dr.”) Master of Arts (MA) Private lecturer (Privatdozentin) – University of Vienna Research Interests Diaconu’s research focuses on environmental aesthetics , particularly the aesthetic dimensions of weather, atmosphere, and climate in the Anthropocene. She explores multi-sensory perception , especially olfaction, and interrogates how sensory experience shapes our understanding of place and environment. Her phenomenological investigations extend to everyday aesthetics , intercultural philosophy , and the history of Romanian philosophical ideas . Publications Trajectory Across the last three years her articles and monographs have coalesced around three themes: (1) the aesthetics of weather and atmosphere —from tornadoes to urban climate—viewed through phenomenological and ethical lenses; (2) olfactory aesthetics , examining smell as an artistic and cultural medium; and (3) history and critique of Romanian philosophical thought , tracing modernization, identity, and Orthodox traditions. Scientific Awards & Recognition Member, editorial board, Contemporary Aesthetics (Castine, USA) Member, editorial board, polylog: Journal of Intercultural Philosophy (Vienna) Member, editorial board, Studia Phaenomenologica (Bucharest) Teaching, Outreach & Grants Diaconu teaches MA-level courses on Romanian regional studies, hermeneutics, philosophy of science, and seminars on environmental aesthetics. She regularly delivers invited lectures and public-science talks in Vienna, Bucharest, and Bratislava, and participates in international workshops on environmental aesthetic experience. Grant information is not explicitly provided in the text. Laboratories & Research Teams While no formal laboratory is mentioned, her affiliation with the Institute of Philosophy and the Institute of Romance Studies provides interdisciplinary research environments. She collaborates with international scholars through editorial projects and conference organization, fostering networks in environmental phenomenology and intercultural aesthetics.

Jakob Abeßerمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Audio Signal Processing
• +۷ مورد دیگر

Jakob Abeßer is a tenure-track professor for Computational Humanities at the University of Bamberg (since 2025) and a Senior Scientist at Fraunhofer IDMT. He focuses on audio processing applications in digital humanities, particularly Music Information Retrieval , Soundscape Analysis , DCASE , Bioacoustics , and Ecoacoustics . His research integrates machine learning and deep learning with audio signal processing , targeting sound event detection, polyphony estimation, and acoustic scene classification. Research Trends : His recent work (2025) explores Large Language Audio Models for scene understanding and CNN-to-Reservoir Computing transitions in classification tasks. Earlier studies (2023-2022) address domain adaptation for robust embeddings, urban sound monitoring , and piano multipitch datasets . Applications span bioacoustic research , urban ecology , and music transcription . Scientific Awards : Best Paper Award at CMMR 2021

Jochen Trieschمشاهده پروفایل

استاد

• Computational Neuroscience
• Machine Learning
• Visual Perception
• +۲ مورد دیگر

Prof. Dr. Jochen Triesch is a Professor at the Frankfurt Institute for Advanced Studies, focusing on computational neuroscience, machine learning, and developmental psychology. His research explores the intersection of visual perception, developmental robotics, and neural plasticity through theoretical and experimental approaches. Scientific Focus : Computational Neuroscience, Machine Learning, Visual Perception, Developmental Psychology, Developmental Robotics Methods : Computational Modeling, Eye Tracking, Virtual Reality, Psychophysics Research Trends Triesch's work emphasizes computational models of cognitive development, neural learning mechanisms, and brain dynamics. His 2024 study introduces MIMo, a multi-modal infant model for developmental research. Earlier works analyze efficient coding in binocular vision ( 2020 ), synaptic competition ( 2018 ), neural variability in deterministic networks ( 2015 ), TMS-induced motor cortex activity ( 2014 ), and gaze-contingent paradigms in infants ( 2012 ). Labs & Teams He is affiliated with the Frankfurt Institute for Advanced Studies , where he leads interdisciplinary research integrating neuroscience and machine learning.

Alexander R Jenseniusمشاهده پروفایل

پژوهشگر

• Embodied Music Cognition
• New Interfaces for Musical Expression (NIME)
• Music Technology
• +۵ مورد دیگر

Dr. Alexander R Jensenius is a researcher at the University of Oslo's Department of Musicology, specializing in Embodied Music Cognition and New Interfaces for Musical Expression (NIME) . With multidisciplinary training in informatics, mathematics, musicology, and music technology, his work bridges music research with motion capture systems, sensor technology, and interactive performance tools. His research intersects with multiple subfields, including: Human movement analysis for musical applications using infrared and inertial sensors Web audio pedagogy through cross-campus team-based learning frameworks Open research practices addressing data handling challenges in musicology Dr. Jensenius has pioneered comparative studies between high-end (Qualisys) and affordable (OptiTrack) motion capture systems, examining their suitability for dance music research and live performance contexts. His technical contributions include synchronization tools for multimodal music data and the Dance Jockey System for full-body interaction with Xsens MVN suits. Recent publications demonstrate his focus on: Optimizing motion data reliability for music performance analysis Developing "good enough" open research practices in empirical musicology Enhancing team-based programming education through web audio technologies He also explores philosophical dimensions of music cognition, including sound-motion similarity theories and embodied memory in telematic performances with migrant communities.

• Stroke Research
• Neuroimaging
• Spatial Cognition
• +۳ مورد دیگر

Stéphanie Leplaideur is a researcher at Rennes University Hospital (CHU Rennes) specializing in stroke rehabilitation and neuroimaging. She holds a Medical Doctor degree in Physical Medicine and Rehabilitation and a PhD focused on the neural basis of egocentric spatial representation and neck muscle vibration effects in stroke patients. Education: Medical Doctor in Physical Medicine and Rehabilitation; PhD in neuroscience (egocentric spatial representation, stroke research) Research Interests: Stéphanie's work explores postural disturbances, spatial cognition impairments, and advanced neuroimaging techniques for stroke recovery. Her studies investigate interventions like neck muscle vibration, prism adaptation, and wearable exoskeletons to improve motor function and balance in stroke survivors. Publications Overview: Her recent publications (2020-2025) demonstrate expertise in clinical stroke research, neuroimaging methodology, and rehabilitation technologies. Notable topics include systematic reviews on neck muscle vibration, multicenter trials on sensory interventions, and deep learning applications for MRI segmentation. Collaborations: She collaborates with engineers, neurologists, and multidisciplinary teams across institutions in France, contributing to clinical trials and computational neuroimaging projects.

• Neurobiology
• Transgenerational epigenetic inheritance
• Parental behavior
• +۷ مورد دیگر

Bianca Jones Marlin is the Herbert and Florence Irving Assistant Professor of Cell Research at Columbia University's Zuckerman Institute, with dual appointments as Assistant Professor of Psychology in the Faculty of Arts and Sciences and Assistant Professor of Neuroscience in the College of Physicians and Surgeons. She leads The Marlin Lab as a Principal Investigator, where she conducts research at the intersection of neurobiology and social experience. Dr. Marlin's research focuses on transgenerational epigenetic inheritance, specifically investigating how parental experiences—particularly traumatic ones—are biologically transmitted to offspring. Her work demonstrates that environmental challenges faced by parents can prepare future generations for similar challenges through epigenetic mechanisms. This research has significant implications for understanding how societal stressors like poverty and structural racism may have multi-generational biological impacts. Her laboratory employs rodent models to study how sensory systems and emotional brain circuits are altered by parenthood and learned experiences. A key finding showed that when male mice associate an odor with stress, both they and their offspring become more sensitive to that odor, suggesting a biological pathway for intergenerational transmission of environmental information. The Pew Trust Biomedical Scholar (2025) HHMI Freeman Hrabowski Scholar (2023) STAT Wunderkinds (2017) Simons Foundation Society of Fellows Junior Fellow (2017) The Grass Foundation Donald B. Lindsley Prize (2016) NYU Graduate School of Arts and Sciences Outstanding Dissertation Award (2016) Dr. Marlin's publication record shows consistent productivity with work appearing in high-impact journals including Nature, where she published research on how oxytocin shapes the brain to enable maternal behavior. Her recent work spans neuroscience, epigenetics, and science policy, with increasing attention to diversity and inclusion in STEMM fields. Her lab operates on principles of conducting science that is 'radical and rigorous, ambitious and meticulous' with questions that 'point to the service of humanity' and inquiries 'elevated by personal perspectives.'

Joseph Toscanoمشاهده پروفایل

دانشیار

• Speech Perception
• Language Processing
• Cognitive Neuroscience
• +۵ مورد دیگر

Joseph Toscano is an Associate Professor in the Department of Psychological and Brain Sciences at Villanova University. He is currently on leave, serving as a Rotating Program Director at the National Science Foundation (NSF) since 2024. His research bridges speech perception, language processing, and cognitive neuroscience, integrating computational models, neuroimaging, and behavioral studies. Dr. Toscano teaches graduate and undergraduate courses in psychology, neuroscience, and cognitive science, including a lab course on speech perception for non-science majors. His lab, the Word Recognition & Auditory Perception (WRAP) Lab, focuses on topics like top-down effects on perception, hearing difficulty, computational models of speech development, and acoustic cue integration. The lab emphasizes inclusivity and student-driven research. His recent publications analyze gradient activation of referents in speech, neural decoding of speech sounds, and impacts of face masks on speech recognition. Key research themes include maintaining sub-phonemic uncertainty over time, cross-modal perception, and adaptive speech processing. Scientific awards include Best Student Paper in Speech Communication — First Prize (2006) Best Student Paper in Speech Communication — Second Prize (2008) Graduate Student Travel Award from the Psychonomic Society (2017) Graduate Student Travel Award from the Psychonomic Society (2015) Dr. Toscano has supervised numerous M.S. students, including Harini Sankar (2024), Reet Patel (2024), and Grace Gervino (2023), with projects spanning computational models of speech perception to effects of bilingualism on vowel categorization. The WRAP Lab welcomes researchers across disciplines to explore perception and cognition.

Bob McMurrayمشاهده پروفایل

استاد

• Speech Perception
• Cognitive Science
• Developmental Psychology
• +۵ مورد دیگر

Bob McMurray is a Professor in the Department of Communication Sciences and Disorders and the Department of Psychological and Brain Sciences at the University of Iowa. His research focuses on spoken and written word recognition across the lifespan, integrating techniques such as eye-tracking, EEG, computational modeling, and MRI. He explores how cognitive science theories apply to real-world developmental and clinical contexts, including language disorders and hearing impairments. McMurray teaches courses like Language Processes, Cognitive Science of Language, and doctoral seminars. His work emphasizes linguistic diversity, neuroplasticity, and the neural underpinnings of language processing. Key contributions include studies on cochlear implant performance, speech categorization consistency in children, and the impact of listening effort in challenging acoustic conditions. Educational background: Not explicitly listed in provided text. Research interests span speech perception, developmental psycholinguistics, and neurocognitive mechanisms of language. Recent work highlights the role of auditory grouping in cochlear implant users, the relationship between oculomotor coordination and reading skills, and the influence of social network diversity on speech perception flexibility. McMurray has collaborated on longitudinal projects like the Growing Words Project, examining cognitive control and word recognition development. His recent articles explore topics such as speech categorization in children with language disorders, cochlear implant efficacy in single-sided deafness, and the dynamics of lexical access during spoken word recognition. McMurray’s research bridges clinical applications and theoretical linguistics, with a focus on individual differences and real-world outcomes. No scientific awards explicitly listed in the provided text. Advising/grants: No specific student advisees or grant details mentioned. McMurray is affiliated with the RISE-CSD Clinic and contributes to interdisciplinary teams in audiology and neuroscience.

Stephanos Theodossiadesمشاهده پروفایل

استاد

• Noise, Vibration and Harshness (NVH)
• Tribology
• Energy Harvesting
• +۳ مورد دیگر

Stephanos Theodossiades is a Professor of Dynamics and Director of Research Practice at Loughborough University's Wolfson School, specializing in Mechanical Engineering. He holds a PhD from Aristotle University of Thessaloniki and an MBA from Loughborough University Business School. His research focuses on Noise, Vibration, and Harshness (NVH) in propulsion systems and self-powered sensing technologies for structural health monitoring. He leads the Dynamics & Tribology Research Group and serves as Associate Editor for the Journal of Vibration and Control and Meccanica . Education: PhD in Mechanical Engineering (2000), Aristotle University Dipl-Ing in Mechanical Engineering (1995), Aristotle University Academic Executive MBA (2005), Loughborough University Research Interests: NVH optimization of electric powertrains Energy harvesting for self-powered sensors Tribology in high-speed bearings and gears Nonlinear dynamics and vibration control Key Awards: Chartered Engineer (CEng) designation EPSRC Peer Review College Fellow Member of ASME and IMechE His work integrates advanced modeling techniques with experimental validation, addressing challenges in automotive, renewable energy, and biomedical systems.

Andrea Barreiroمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Neural Networks
• Dynamical Systems
• +۴ مورد دیگر

Andrea Barreiro is an Associate Professor and Graduate Advisor in the Department of Mathematics at Southern Methodist University. She holds a Ph.D. from New York University (2006) and leads research in mathematical neuroscience and complex systems. Her work focuses on neural network dynamics, sensory processing, and computational modeling, with collaborations spanning institutions including the University of Washington. Research Focus: Dr. Barreiro investigates how neural network architecture generates correlated activity in brain microcircuits, using dynamical systems, information theory, and numerical methods. Her research aims to reveal fundamental brain architectures relevant to conditions like Parkinson's disease. Secondary interests include fluid dynamics, redistricting analysis, and neural integrators for memory functions. Publication Trends: Recent work (2021-2025) emphasizes olfactory coding mechanisms, cortical criticality, and low-dimensional neural representations. Earlier publications established foundations in correlation transfer within neural networks, neural integrator robustness, and vortex dynamics. Methodological contributions include novel approaches for analyzing coupled neuronal networks and efficient statistical calculations. Academic Leadership: She co-directs the SMU-RTG REU program, mentoring undergraduates in mathematical neuroscience projects using experimental data from UT Southwestern. Her laboratory develops analytical frameworks for neural circuit analysis and collaborates extensively with experimental neuroscientists.

Yi Dingمشاهده پروفایل

استادیار

• Multimodal Machine Learning
• Human-Computer Interaction
• AI Ethics
• +۵ مورد دیگر

Yi Ding is a tenure-track Assistant Professor of Computer Science at Georgia State University. He leads a research group focusing on multimodal machine learning and human-computer interaction, particularly in understanding human behavior through technology. His work emphasizes applications in healthcare, education, and community benefits. Before academia, he had extensive industry experience as an engineer and researcher. Education B.S. in Computer Science and Mathematics, University of Massachusetts Amherst (2011) M.S. in Computer Science, University of California Santa Barbara (2021) Ph.D. in Computer Science, University of California Santa Barbara (2022) Research Interests Dr. Ding explores how technologies can interpret human behavior and social signals to improve health, education, and community systems. His work addresses challenges in multimodal data fusion, label noise robustness, and ethical AI design. Key areas include: Multimodal machine learning frameworks Human-centric AI ethics Data augmentation strategies for noisy labels Gesture-based interfaces Bio-signal authentication systems Professional Activity His research bridges academia and industry, with contributions to VR/AR systems, health monitoring technologies, and adaptive user interfaces. He collaborates with interdisciplinary teams to address real-world challenges through innovative machine learning approaches.

Yue Wangمشاهده پروفایل

استادیار

• Trustworthy AI
• Machine Learning
• Sparse Signal Processing
• +۵ مورد دیگر

Dr. Yue Wang is an Assistant Professor in the Department of Computer Science at Georgia State University (GSU), Atlanta. Previously, he served as an Assistant Research Professor in Electrical and Computer Engineering at George Mason University. His research focuses on trustworthy AI, machine learning, sparse signal processing, and wireless communications, particularly in cyber-physical systems and reconfigurable intelligent surfaces (RIS). He is a Senior Member of IEEE. Education: B.S. in Electrical Engineering, Beijing Union University (2004) M.S. in Electrical Engineering, Beijing University of Posts and Telecommunications (2007) Ph.D. in Electrical Engineering, Beijing University of Posts and Telecommunications (2011) Research interests span AI security, federated learning, edge computing, and wireless systems. His work addresses challenges in 5G/6G networks, spectrum efficiency, and robust distributed learning. Notable contributions include RIS-aided physical layer security schemes, energy-efficient optimization for wireless systems, and deep learning-based channel estimation techniques. Publications emphasize interdisciplinary applications of machine learning and signal processing, with over 50 papers in top-tier journals/conferences. Awards include IEEE Senior Membership. He leads efforts in trustworthy AI and next-generation wireless communications at GSU.