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Dimitrios CharalampidisView profile

Professor

• Image Processing
• Signal Processing
• Pattern Recognition
• +6 more

Dimitrios Charalampidis serves as Associate Dean of the College of Engineering and holds the Huntington Ingalls, Inc., Endowed Professorship in the Department of Electrical and Computer Engineering at the University of New Orleans, with contact details including phone 504-280-7415 and email dcharala@uno.edu. His academic credentials comprise: Ph.D. in Electrical Engineering, University of Central Florida (2001) M.S. in Electrical Engineering, University of Central Florida (1998) Diploma in Electrical Engineering and Computer Technology, University of Patras, Greece (1996) Research focuses on Image Processing , Signal Processing , and Pattern Recognition with specialization in texture analysis, medical imaging, remote sensing, and FPGA-based implementations. His work bridges theoretical algorithms with hardware-accelerated solutions for real-time applications in critical domains. Analysis of 15 recent publications (2023-2015) reveals consistent innovation in machine learning for energy systems (smart grid optimization), environmental monitoring (water-level sensors, storm tracking), and underwater imaging (fish detection). Key methodological trends include dimensionality reduction, efficient FPGA implementations, and hybrid neural network approaches. No specific scientific awards beyond his endowed professorship are documented in the source material. Administrative leadership as Associate Dean suggests significant institutional responsibilities, though graduate student mentorship details and research grants remain unspecified in available information. His research infrastructure operates within the Department of Electrical and Computer Engineering, emphasizing embedded systems development and signal processing laboratories for interdisciplinary applications.

• Ocular Movements
• Attention
• Cognitive Functions
• +5 more

Dr. Aarlenne Khan is an Associate Professor at the School of Optometry, University of Montreal, and holds the Canada Research Chair in Vision and Action. Her research focuses on interactions between attention, ocular movements, and cognitive functions in healthy and neurological populations (e.g., Parkinson’s disease, parietal lobe lesions, ataxia). She employs behavioral, neurophysiological, and neuroimaging techniques, including transcranial direct current stimulation (tDCS). Education: Bachelor’s in Psychology (2000), York University Master’s in Psychology (2002), York University Ph.D. in Psychology (2006) and Neuroscience (2006) from York University and Université Claude Bernard, France Postdoctoral training at The Smith-Kettlewell Eye Research Institute (2006–2009) and Queen’s University (2009–2013) Research Interests: Ocular movements, spatial attention, motor control, and cognitive deficits in neurological disorders. Her work bridges basic neuroscience and clinical applications, emphasizing translational outcomes. Grants & Awards: Canada Research Chair in Vision and Action (2014–present) CIHR and NSERC grants for studies on attention-motor interactions and vision rehabilitation Leading roles in networks like RRSV (Vision Health Research Network) and REPAR (Adaptation-Rehabilitation) Advising: Supervised over 10 graduate theses, including work on Parkinson’s cognitive functions, spatial inhibition mechanisms, and optic ataxia. Labs & Teams: Member of the GRSV (Vision Sciences Research Group), CIRCA (Brain and Learning), and the Interdisciplinary Vision and Action Lab at the School of Optometry.

Nikolaus TrojeView profile

Professor

• Visual Perception
• Biological Motion
• Sensory Neuroscience
• +7 more

Nikolaus Troje is a **Full Professor** in the **Department of Biology** at **York University**, affiliated with the **Faculty of Science**. He leads the **BioMotion Lab**, focusing on sensorimotor processes underlying perception, particularly biological motion, face recognition, and virtual reality applications. His work bridges philosophy, computer science, and neuroscience, addressing questions about embodied cognition and perceptual reality. **Research Interests**: Troje studies visual perception, multisensory integration, and spatial awareness using advanced techniques like motion capture and VR. His lab develops tools for analyzing gait patterns, body motion, and the psychological impact of virtual environments. Key themes include how humans perceive agents, process motion cues, and experience self-ownership in virtual spaces. **Articles Trends**: Recent publications emphasize **virtual reality design flaws** (e.g., Zoom’s eye contact issues), **biological motion perception** in congenitally blind individuals, and **applied VR for therapy and training**. He explores interdisciplinary topics like gait analysis in schizophrenia and musical cognition. **Advising & Labs**: Troje supervises graduate students in **Biology**, **EECS**, and **Psychology** programs. The BioMotion Lab collaborates across disciplines, aiming to improve animation, gesture recognition, and VR applications. No scientific awards are explicitly mentioned in the text.

Luke OsbornView profile

Assistant Professor

• Neuroengineering
• Biomedical Engineering
• Prosthetics
• +5 more

Luke Osborn, PhD, is an Assistant Professor in the Department of Biomedical Engineering at Case School of Engineering, part of Case Western Reserve University. He also holds an affiliation with the School of Medicine. His research focuses on restoring and enhancing human sensorimotor function through neuroengineering, bioinspired instrumentation, and human-machine interfaces. Key projects include developing neuromorphic tactile sensing systems for robotic limbs, multimodal stimulation paradigms for sensory feedback, and understanding neural mechanisms underlying sensorimotor integration. Dr. Osborn's work integrates noninvasive and invasive approaches to stimulate peripheral nerves and the somatosensory cortex, aiming to improve prosthetic functionality and human-machine integration. Recent advancements include multilayered e-dermis sensors, real-time thermal/touch feedback systems, and intracortical microstimulation techniques to modulate tactile sensitivity. His research spans materials science, computational modeling, and clinical applications. Publications emphasize sensory feedback mechanisms, neural stimulation technologies, and prosthetic system design. He has contributed to breakthroughs in tactile perception restoration and thermal feedback systems, with a focus on improving user experience and functionality in assistive devices. His work frequently involves collaborations across engineering, neuroscience, and clinical medicine. Scientific awards and recognition are not explicitly listed, but his prolific publication record and high-impact journals (e.g., Nature Biomedical Engineering , Science Robotics ) underscore his contributions. His lab focuses on translational research, bridging engineering innovations with clinical needs in neuroprosthetics and neural interfaces.

Sharon MillerView profile

Associate Professor

• Cortical auditory event-related potential (ERP) research
• Neural biomarkers for speech perception outcomes
• Neural inhibition and speech-in-noise perception
• +4 more

Sharon Miller, Ph.D., CCC-A, is an Associate Professor and Director of Graduate Studies in Audiology at the University of North Texas. Her research focuses on cortical auditory event-related potentials (ERPs) to identify neural biomarkers for speech perception outcomes in hearing loss, neural inhibition mechanisms in noisy environments, and brain plasticity related to hearing aids and cochlear implants. Research Interests Neural biomarkers for speech perception in hearing-impaired individuals Neural inhibition and speech-in-noise processing Neuroplasticity in hearing aid and cochlear implant users Cortical auditory processing in autism spectrum disorder Over-the-counter hearing aid communication strategies Publication Trends Her recent work spans auditory neuroscience, assistive technologies, and clinical audiology, with a focus on ERP methodologies, cochlear implant outcomes, and interventions for speech perception challenges in noise. She investigates cross-modal plasticity in pediatric populations and evaluates noise-management systems for hearing devices. Contact Information Email: Sharon.Miller@unt.edu Phone: 940-369-7385 Office: SPHC 214

Michael Barnett-CowanView profile

Associate Professor

• Neuroscience
• Multisensory Processing
• Virtual Reality
• +5 more

Michael Barnett-Cowan is an Associate Professor and Associate Chair of Graduate Studies at the University of Waterloo. His research focuses on multisensory processing, sensorimotor integration, and the neurophysiological mechanisms underlying human perception and balance control. Specializing in neuroscience, he investigates how visual, vestibular, and somatosensory inputs interact in contexts like virtual reality (VR), aviation, and aging populations. His work addresses cybersickness mitigation, postural stability, and the development of VR-based interventions for older adults and dementia patients. He leads the Multisensory Brain and Cognition Lab and actively contributes to academic administration and graduate education. Research interests include: multisensory integration, VR applications in health, sensorimotor adaptation, and cognitive aging. Recent studies explore how physical activity and exercise influence multisensory processing in older adults, and how visual threat perception affects postural stability in virtual environments. Key contributions span over 50 peer-reviewed articles, with recent work emphasizing cybersickness dynamics, exergame design for aging demographics, and the role of sensory reweighting in balance disorders. His interdisciplinary approach integrates neuroscience, engineering, and clinical research to advance understanding of human-environment interactions.

• Biomechanics
• Neuromechanics
• Musculoskeletal Modeling
• +5 more

Pouya Amiri is an Assistant Professor in Biomechanics and Neuromechanics at Queen's University. He holds a PhD from McGill University and post-doctoral training at Imperial College London. His research focuses on musculoskeletal biomechanics, particularly in impairments like lower limb amputation and knee osteoarthritis. He combines computational models with medical imaging and functional experiments to develop personalized interventions and rehabilitation technologies. Education: PhD in Biomedical Engineering, McGill University Post-Doctoral Fellowship, Imperial College London MASc in Mechanical Engineering, Dalhousie University MSc/BSc in Mechanical Engineering, Isfahan University of Technology Research Interests: Biomechanical adaptations in amputees Knee osteoarthritis mechanics Human balance control Functional electrical stimulation Prediction of joint forces via musculoskeletal models Biofeedback training for gait optimization His recent work explores predictive musculoskeletal models for amputees, VR-based balance control identification, and reducing knee joint loading in osteoarthritis patients. He emphasizes subject-specific approaches for clinical applications. Advising & Funding: Actively recruiting motivated students through scholarships like Ontario Graduate Scholarship and NSERC. Internal funding opportunities are also available.

Martin PareView profile

Professor

• Visual Cognition
• Saccadic Eye Movements
• Neural Circuitry
• +2 more

Dr. Martin Paré is a Professor at Queen's University, jointly affiliated with the Department of Biomedical and Molecular Sciences (School of Medicine) and the Centre for Neuroscience Studies. His research explores the neural basis of visual cognition, including visual attention, working memory, and eye movement control, using psychophysical, physiological, and pharmacological methods. Research Interests: Paré investigates how neural circuits process visual information and control gaze behavior, with implications for disorders like stroke and neurodegenerative diseases. His lab studies cortical and brainstem mechanisms underlying perception-action integration. Articles: His publications analyze neural correlates of visual search, decision-making, and saccade control, often integrating primate neurophysiology with computational modeling to explain cognitive processes.

Jonathan SmallwoodView profile

Professor

• Cognitive Neuroscience
• Mind-Wandering
• Memory (Episodic/Semantic)
• +6 more

Jonathan Smallwood is a Professor in the Department of Psychology at Queen's University at Kingston, Canada. He holds cross-appointments at the Centre for Neuroscience Studies and is affiliated as a Full Professor since July 2020. His academic journey includes roles at the University of York (promoted to Professor in 2018), the Max Planck Institute for Human Cognitive and Brain Sciences (2011–2013), and various other institutions. His research focuses on understanding the neural basis of spontaneous thought, mind-wandering, and their impacts on mental health and well-being, employing advanced neuroimaging and experience-sampling techniques. His work bridges cognitive psychology and neuroscience, particularly investigating the default mode network and cortical organization. Smallwood earned his BAH (1996) and PhD (2001) in Cognitive Psychology from the University of Strathclyde. His career includes postdoctoral research at the University of British Columbia and UC Santa Barbara, among others. He is recognized as a pioneer in experience-sampling methods and their integration with neuroimaging, notably proposing the 'decoupling hypothesis' regarding mind-wandering. His research has been cited extensively, earning him recognition as a highly cited scientist. Research interests include cognitive neuroscience, memory systems (episodic/semantic), default mode network architecture, and mental health correlations. His current projects explore brain organization gradients, semantic cognition, and the neural correlates of spontaneous thought across daily life contexts. Smallwood’s lab investigates how cortical structure and connectivity mediate thought patterns and adaptive behavior, with a focus on translational insights for mental health interventions. Notable affiliations include Queen’s University (2020–present), University of York (2013–2020), and Max Planck Institute (2011–2013). He maintains active collaborations globally, publishing in high-impact journals like Nature Reviews Neuroscience and Nature Communications . His work emphasizes interdisciplinary approaches, combining experimental psychology with neuroimaging to address fundamental questions about human cognition.

• Comparative Neuroanatomy
• Neuroimaging
• Evolutionary Neuroscience
• +4 more

Rogier Mars is a Professor of Neurosciences and MRC Senior Non-clinical Fellow at the University of Oxford, affiliated with the Nuffield Department of Clinical Neurosciences (NDCN) and St Hilda's College. His research focuses on understanding how brain structure and function evolve in response to environmental challenges, combining human neuroimaging techniques (e.g., fMRI, TMS) with comparative analyses of post-mortem animal brains. Key projects include cross-species tractography, cortical surface reconstruction pipelines, and evolutionary studies of language-related neural infrastructure. Research interests emphasize structural connectomics, neuroecology, and primate brain evolution. His work bridges human and non-human primate neuroanatomy, exploring adaptations in brain organization across species. Recent publications highlight innovations in imaging techniques like hybrid MRI-microscopy and computational tools for multi-species brain comparisons. Scientific awards include the prestigious MRC Senior Non-clinical Fellowship. He leads the Neuroecology & Anatomy Lab and the Preclinical Imaging Group, advancing open-access resources such as the Digital Brain Bank for post-mortem datasets. Collaborative efforts prioritize multi-center initiatives to standardize protocols for neuroimaging and comparative neuroscience.

• Medical Imaging
• Computer Vision
• Image Processing
• +3 more

Vladimir Zlokolica is a researcher affiliated with Singidunum University, holding a PhD in Telecommunications and Information Processing from Ghent University (2006) and a Master's degree from the same institution (2005). He obtained his Bachelor's degree in Electrical Engineering from Novi Sad (2001). His research focuses on Medical Imaging , Computer Vision , and Automotive Perception Systems , particularly in advanced image processing techniques for 3D medical imaging and motor vehicle environmental modeling. His work includes segmentation algorithms for cardiovascular diagnostics and innovative methods for automotive image generation and enhancement. Publications from 2017-2020 demonstrate expertise in 3D image analysis , medical applications , and automotive vision systems . Notable contributions include techniques for left atrial appendage segmentation, vessel delineation, and quality metrics for 3D visual content. Despite no explicit scientific awards mentioned, his collaborations with institutions like Ghent University and Singidunum University highlight his academic engagement.

Sofie TapperView profile

Researcher

• Neuroengineering
• Medical Image Science
• Cerebral Blood Flow
• +6 more

Sofie Tapper is a Postdoctoral Researcher in the Department of Biomedical Engineering at Linköping University, Sweden. Her work is situated within the Division of Biomedical Engineering (MT) and closely associated with the Center for Medical Image Science and Visualization (CMIV). She conducts interdisciplinary research at the intersection of biomedical engineering and neuroscience, with a focus on developing and applying advanced neuroimaging techniques for clinical neurointensive care. Her research interests lie in neuroengineering , specifically in combining MRI methods and optical measurements to estimate cerebral blood flow and prevent secondary brain injury. Additional research themes include the brain-gut axis, neuroimaging of irritable bowel syndrome, and cerebellar neurochemistry in movement disorders. Her work integrates clinical monitoring with advanced imaging to understand neurological and neuropsychiatric conditions. The recent publications show a strong trend in applying quantitative MRI and spectroscopy to both neurological (e.g., essential tremor, neurointensive care) and functional gastrointestinal disorders, highlighting her expertise in translational neuroimaging. Collaborative work with multidisciplinary teams is a consistent feature across her research output. Scientific Awards: No awards listed in the provided text. Advising and Grants: No information is available regarding student supervision, grant funding, or teaching responsibilities. She collaborates with senior researchers such as Karin Wårdell, Anders Tisell, and Susanna Walter, and is part of a research team that includes PhD students and assistant professors in neuroengineering and medical image science. Labs and Teams: Sofie Tapper is affiliated with the Neuroengineering research group at Linköping University, operating within the Department of Biomedical Engineering and the Center for Medical Image Science and Visualization (CMIV). This center is a national hub for medical imaging research, fostering cross-disciplinary collaboration between engineers, clinicians, and neuroscientists.

Andrew Hamilton-WrightView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Data Visualization
• +6 more

Dr. Andrew Hamilton-Wright is an Associate Professor at the School of Computer Science, University of Guelph, part of the College of Engineering and Physical Sciences. He is a member of the Centre for Advancing Responsible and Ethical Artificial Intelligence (CARE-AI) and has been at the university since 2017. He holds a PhD from the University of Waterloo (2006) and previously worked as a Postdoctoral Researcher at Queen’s University and an Associate Professor at Mount Allison University. His research focuses on machine learning, association mining, and data visualization to support decision-making in healthcare. Key areas include electrophysiological data analysis for disease characterization, fatigue and pain prediction using biophysical signals, and the development of robust software tools for visualizing complex data. He has pioneered work on EMG simulators and models for validating techniques in neuromuscular research. Notable awards include an NSERC Discovery Grant (2021) and an NSERC Engage Grant (2018). His work has been featured in media coverage, such as CTV News’ report on an iron-tracking app for genetic condition management. He is also affiliated with the OneHealth Institute and editorial boards in scientific journals. His grants and collaborations include NSERC-funded projects and partnerships with industry. He advises on ergonomic and postural data analysis, with applications in occupational health and safety. His lab focuses on integrating machine learning with biomedical systems to improve clinical decision-making.

Jennifer CrossView profile

Academic

• Human-Robot Interaction
• Educational Robotics
• STEM Education
• +3 more

Dr. Jennifer Cross is a Research Assistant Professor at Tufts University's Center for Engineering Education and Outreach (CEEO), focused on human-robot interaction in educational contexts and diversity in STEM education. She holds a PhD in Robotics from Carnegie Mellon University (CMU), where she developed the Arts & Bots program using the Hummingbird Robotics Kit to integrate robotics with non-technical disciplines like art and English. Her work emphasizes K-12 robotics integration, teacher training, and community-driven environmental monitoring. Educational Background: PhD in Robotics, Carnegie Mellon University (2017) MS in Robotics, Carnegie Mellon University (2013) BS in Electrical and Computer Engineering, Franklin W. Olin College of Engineering (2010) Research Interests: Dr. Cross's work spans creativity-oriented robotics education, STEM diversity initiatives, and community-empowered environmental sensing projects like Smell Pittsburgh. She designs tools such as the Smart Motor toolkit to introduce machine learning to elementary students and collaborates with teachers to integrate engineering into non-technical curricula. Awards & Recognition: Institute of Education Sciences (IES) Program for Interdisciplinary Education Research Fellow National Science Foundation (NSF) Graduate Research Fellowship Program Fellow Advocacy & Grants: Her research has been supported by grants focusing on robotics in education and public health. She has advised on teacher training programs and developed assessment frameworks to measure student attitudes toward robotics activities. Labs & Teams: Collaborates with CMU's Community Robotics, Education, and Technology Empowerment (CREATE) Lab and leads projects at Tufts CEEO, emphasizing accessible, inclusive STEM tools.

Jason RajsicView profile

Researcher

• Cognitive Psychology
• Visual Cognition
• Attention
• +3 more

Jason Rajsic is a researcher at Northumbria University's Department of Psychology, focusing on cognitive processes governing attention and memory in visual tasks. He joined the institution in 2019 after completing his PhD at the University of Toronto and postdoctoral work at Vanderbilt University. Education: PhD in Psychology (2017), MSc at Queen's University (Canada) His research employs behavioral measures, eye-tracking, and EEG to study how goal-directed attention and memory interact. Key themes include distractor rejection, visuomotor integration, and the neural correlates of working memory. Recent publications highlight interdisciplinary work spanning healthcare data sharing, sports psychology, and cognitive biases. Collaborations include scholars from diverse fields like AI, emergency medicine, and sports science. While no specific awards are mentioned, his academic trajectory includes prestigious institutions like University of Toronto and Vanderbilt University. His research program appears to focus on both theoretical cognitive questions and applied contexts like CPR training and sports environments.