جستجوی استاد راهنمای دانشگاهی

Xiaogai Li is an Associate Professor in the Department of Neuronic Engineering at KTH Royal Institute of Technology, Sweden. He is affiliated with the School of Technology and Health (STH) and the Digital Futures interdisciplinary research center. His roles include Co-Principal Investigator (Co-PI) for projects like the AI-based Positioning and Personalization Platform for Human Body Models (HBMs) and Seed funding for large grant proposals. He leads the Rich and Healthy Life working group within Digital Futures. Li holds a PhD in Neuronic Engineering from KTH (2012) and is a Docent in Technology and Health. His research focuses on finite element modeling, neuroimaging, and clinical applications, particularly in traumatic brain injury mechanisms (with emphasis on pediatric cases), forensic diagnosis, and protective strategies. Key projects include the EU-funded PIPER and HEADS ITN initiatives, and collaborations with RISE and Stockholm University. His research integrates computational methods, neuroimaging, and clinical data to advance injury understanding and develop protective technologies. Notable contributions include biomechanical visualizations for child restraint system (CRS) awareness campaigns, which have been adopted by public health practitioners. He also investigates helmet safety standards through finite element simulations and leads efforts in personalizing human body models for accident reconstruction. Education: PhD in Neuronic Engineering, KTH Royal Institute of Technology (2012) Grants: Swedish Research Council (VR) BioLEAP/BioSAVE, Vinnova, STINT, KTH Innovation Labs/Teams: Neuronic Engineering Division, Digital Futures, PIPER EU Project Li teaches courses such as Biomechanics and Neuronics, Simulation Methods in Medical Engineering, and oversees the CRS Awareness initiative, which uses biomechanical visualizations to enhance child safety education. His work bridges engineering and clinical practice, with applications in forensic pathology and public health interventions.

• Biomechanical Engineering
• Neuroimaging
• Traumatic Brain Injury
• +۳ مورد دیگر

Camilla Forsell is an Associate Professor in evaluation methodology and visualization at Linköping University, affiliated with the Department of Science and Technology (ITN) and the Media and Information Technology (MIT) division. She holds roles as Director of Undergraduate Studies and Deputy Head of the Division. Her academic journey includes a master's in cognitive science (Linköping University, 2003) and a doctorate in human-computer interaction (Uppsala University, 2007). Her research focuses on user-centered evaluation methodologies, information visualization, and medical visualization. Key areas include developing evaluation frameworks, analyzing high-dimensional data, and exploring multimodal interaction. She collaborates with interdisciplinary groups to advance visualization tools for scientific and medical applications. Teaching responsibilities include courses in Media Technology, Graphic Design, and postgraduate user-centered evaluation. She actively supervises thesis work and contributes to curriculum development. Camilla is part of the Information Visualization research group at MIT, emphasizing exploratory analysis and interactive visualization methods for complex data. Her publications span evaluation techniques, haptic interfaces, and medical visualization, reflecting her commitment to bridging theoretical and applied research. She has contributed to standards in visualization assessment and user-centered design principles.

• User-Centered Evaluation
• Information Visualization
• Human-Computer Interaction
• +۳ مورد دیگر

Martin Skoglund is an Adjunct Associate Professor at Linköping University, affiliated with the Department of Electrical Engineering and the Automatic Control (RT) research group. His work bridges engineering and neuroscience, focusing on advanced signal processing for hearing-impaired listeners. Institution: Linköping University Department: Department of Electrical Engineering (ISY) Research Group: Automatic Control (RT) Email: martin.skoglund@liu.se His research interests lie at the intersection of biomedical signal processing and cognitive neuroscience, particularly in decoding auditory attention using EEG signals. He specializes in enhancing speech tracking for hearing aid users through deep learning, contrastive learning, and nonlinear signal compensation techniques. His work addresses real-world challenges such as noise interference and hardware-induced nonlinearities in neural recordings. The recent publications highlight a strong trend in developing machine learning models that improve brain-computer interfaces for hearing assistance. These studies predominantly apply deep learning and statistical methods to EEG data, aiming to decode which speaker a listener is focusing on in complex acoustic environments. The research is highly interdisciplinary, combining elements of electrical engineering, neuroscience, and clinical audiology. Martin Skoglund actively collaborates with experts in auditory neuroscience and control systems. While no formal awards or students are listed in the provided texts, his contributions appear in high-impact journals such as Journal of Neural Engineering and eNeuro , as well as top-tier conferences like ICASSP. He is involved in research projects related to auditory attention decoding, EEG-based speech tracking, and signal enhancement for hearing-impaired individuals. These efforts are likely part of broader initiatives in assistive neurotechnology and intelligent hearing systems at Linköping University.

• Signal Processing
• Auditory Attention Decoding
• EEG-based Speech Tracking
• +۷ مورد دیگر

Christoph Pfeiffer is an Assistant Professor at the Department of Clinical Neuroscience , Karolinska Institutet. He leads the NatMEG (National Facility for Magnetoencephalography) and works within the Multimodal Brain Imaging – Daniel Lundqvist's research group . His research focuses on developing next-generation on-scalp MEG systems using advanced sensors. Education : PhD in Electrical Engineering from Chalmers University of Technology (Gothenburg, Sweden) Prior Affiliation : Postdoctoral work at Aalto University (Finland) with Professor Lauri Parkkonen’s Neuroimaging Methods group His work bridges Neurology , Biomedical Engineering , and Superconductivity to advance brain imaging technology . Recent studies explore epilepsy diagnostics , high-resolution neural mapping , and brain-computer interfaces for motor-impaired patients. Publications highlight innovations in sensor localization , YBCO SQUID design , and kinetic inductance optimization . Recent research trends emphasize on-scalp MEG applications in epilepsy monitoring , proprioceptive analysis , and real-time brain activity mapping . Techniques include magnetic dipole coil calibration , cross-talk reduction , and signal processing for improved diagnostic accuracy. Scientific Awards : Swedish Research Council grant (2022) to enhance NatMEG’s capabilities As head of NatMEG, he collaborates with multidisciplinary teams to refine MEG technology for both academic and clinical settings, ensuring Karolinska remains a leader in real-time whole-brain imaging.

• Neurology
• Magnetoencephalography (MEG)
• Epilepsy
• +۳ مورد دیگر

Emmanuel Dean is a Senior Researcher in the Automation research group at Chalmers University of Technology, School of Electrical Engineering. His work focuses on robotics, human-robot interaction, and assistive technologies. Dean's research interests span multiple areas of robotics and human-computer interaction: Robotics and autonomous navigation systems Human-robot collaboration and interaction Tactile sensing and physical interaction Motion prediction and obstacle avoidance Brain-computer interfaces for robotic control Assistive robotics for physical therapy His recent publications show a strong focus on developing advanced navigation systems for mobile robots that can predict human motion and avoid collisions in dynamic environments. Dean has also made significant contributions to tactile-based interaction methods, particularly for assistive robotics applications in physical therapy contexts. Dean has received research funding for the CRAFT (Collaborative-Robot Assistant for Technicians) project (2021-2023), which focused on developing robotic assistants for industrial technicians. His work demonstrates strong interdisciplinary collaboration, with publications spanning robotics, neuroscience, and rehabilitation engineering.

• Robotics
• Human-Robot Interaction
• Motion Prediction
• +۵ مورد دیگر

Lars Hall is a Researcher in Cognitive Science at the Department of Philosophy, Lund University. His work focuses on choice blindness, decision-making processes, and the integration of sensory feedback with cognitive self-monitoring. He is affiliated with the Choice Blindness Lab (http://www.lucs.lu.se/choice-blindness-group/), exploring how people fail to notice discrepancies between their intentions and outcomes. Research Interests: Choice Blindness and Introspection Sensory Feedback Mechanisms Decision Dynamics Social Judgment and Interaction Neuroscience of Perception Philosophy of Mind and Cognition Articles Trends: Hall's recent work (2020-2024) addresses how manipulated feedback influences attitudes, decisions, and emotional states. Key themes include false feedback's impact on voter behavior, intergroup dynamics, and neurotechnology implications. His studies often use experimental paradigms like real-time speech manipulation and gaze tracking. Awards: None explicitly listed in provided texts. Advising & Grants: Supervised PhD projects include neurocognitive basis of confabulation, semantic self-monitoring in speech, and eye movement intention studies. Active in Lund University's VR Lab and Cognition & Philosophy initiatives. Labs/Teams: Principal investigator at the Choice Blindness Lab, collaborating with interdisciplinary teams in neuroscience, psychology, and philosophy.

• Cognitive Science
• Decision Making
• Perception
• +۳ مورد دیگر

Irzam Hardiansyah is a Postdoctoral Researcher at the Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, working in Agnieszka Butwicka's SOMIND research group focused on Somatic, Mental, and Neurodevelopmental Conditions. His research spans neurosciences, autism spectrum disorder, and infant development. Key interests include: Genetic and environmental contributions to early socio-communicative development Visual perception in infants and its link to autism EEG studies of infant cognition Twin methodologies in developmental research Biostatistical analysis of longitudinal developmental data His recent publications (2020-2025) consistently explore how infant visual processing, particularly global motion processing, relates to later autism diagnosis. Using twin cohorts and EEG, he has identified neural markers that may predict developmental outcomes. His work bridges genetic epidemiology, neuroscience, and clinical psychology. Scientific awards: No awards listed Advising and grants: No information on student supervision or grant funding is provided. He contributes to the SOMIND research group's mission through multi-method studies of infant development, notably the Babytwins Study Sweden, which examines genetic and environmental factors in brain and behavioral development.

• Neurosciences
• Autism Spectrum Disorder
• Infant Development
• +۳ مورد دیگر

Patrick Bryant is a Principal Investigator and DDLS Fellow at Stockholm University, affiliated with SciLifeLab. He leads a research group developing AI-driven tools for protein structure prediction, molecular interactions, and de novo design of functional biomolecules. His work includes frameworks like RareFold (for noncanonical amino acids) and EvoBind (cyclic peptide design), applied to therapeutic challenges such as HIV-1 inhibition and metabolic receptor targeting. Research Interests Bryant's research integrates deep learning with structural biology to enable: Prediction of protein complexes and alternative conformations Design of cyclic peptides for drug development Exploration of noncanonical amino acid chemistry Identification of pathogenic protein interfaces Publication Trends His recent articles (2023–2025) demonstrate a consistent focus on AI methodologies for protein engineering, with applications spanning antiviral design, cancer susceptibility, and protein-ligand interactions. Key themes include reinforcement learning for molecular assemblies, inverse folding techniques, and high-throughput prediction of biological networks. Awards DDLS Fellowship Advising and Team Bryant mentors one PhD student (Diandra Daumiller) and collaborates with postdoctoral researcher David Li. His group focuses on scalable computational frameworks for molecular discovery.

• Artificial Intelligence
• Bioinformatics
• Protein Structure Prediction
• +۵ مورد دیگر

Andrii Matviienko is an Assistant Professor (tenure track) in Computer Science specializing in Human-Computer Interaction at KTH Royal Institute of Technology, Sweden. He works at the Department of Media Technology and Interaction Design (MID) within the School of Electrical Engineering and Computer Science. His research focuses on Extended Reality (XR) and interaction with and within immersive spaces, where he leads the Immersive Technologies Lab. Dr. Matviienko received his Ph.D. in Computer Science from the University of Oldenburg while working at the Media Informatics and Multimedia Systems group with Susanne Boll. His academic journey includes: Postdoctoral researcher at the Telecooperation Lab, Technical University of Darmstadt, Germany Research visit at the Multimodal Interaction Group, University of Glasgow (UK), working with Stephen Brewster Work at the Exertion Games Lab led by Florian 'Floyd' Mueller at Monash University (Australia) His research focuses on Extended Reality (XR) and interaction with and within immersive spaces. He leads the Immersive Technologies Lab, where his team explores ways of improving users' XR experiences through novel input techniques, haptic feedback, locomotion methods, taste interfaces, simulations, and exertion games. His work particularly emphasizes cycling interfaces and safety systems for cyclists, as well as child-computer interaction and tangible interfaces. He has made significant contributions to understanding how people interact with technology in physical movement contexts, especially while cycling. Analysis of Dr. Matviienko's recent publications (2023-2025) reveals a strong focus on immersive technologies with several key trends emerging. His work spans virtual reality, augmented reality, and mixed reality applications across diverse domains including cycling safety, medical training, social interaction, and multisensory experiences. A significant portion of his research investigates novel input methods and sensory feedback in XR environments, with particular attention to how physical movement and embodiment affect user experience. His publications demonstrate growing interest in AI integration with immersive technologies, as seen in projects involving generative AI for museum experiences and human-AI interaction for dementia care. Dr. Matviienko actively mentors students and collaborates with researchers worldwide. He encourages students interested in thesis work to reach out to him and his team. His research is supported by various grants that enable: Development of VR bicycle simulators and cycling safety systems Exploration of haptic feedback and novel input techniques in XR Investigation of multisensory experiences, including taste modulation Creation of medical simulation tools for surgical training Dr. Matviienko leads the Immersive Technologies Lab at KTH, where his team explores ways of improving users' XR experiences via novel input techniques, haptic feedback, locomotion, taste, simulations, and exertion games. The lab collaborates with international partners including researchers from Monash University, Technical University of Darmstadt, and University of Glasgow. Current projects focus on cycling interfaces, social navigation in VR, medical simulations, and multisensory experiences that integrate audio, visual, and taste stimuli.

• Human-Computer Interaction
• Extended Reality
• Virtual Reality
• +۱۲ مورد دیگر

Professor Lars-Olof Wahlund is a faculty member at Karolinska Institutet's Department of Neurobiology, Care Sciences and Society, holding the position of Professor of Geriatrics since 2002. His research focuses on Alzheimer's disease, dementia diagnostics, neuroimaging techniques (especially MRI/CT), and biomarker development. He leads the Frontal lobes and cognitive failure research group, emphasizing early detection and treatment of neurodegenerative diseases through imaging and clinical trials. His work includes studying brain structure changes in dementias, particularly Alzheimer's, using advanced imaging methods like diffusion MRI and functional MRI. Ongoing clinical trials investigate immunological treatments and polyunsaturated fatty acid effects on Alzheimer's progression. He is also involved in multi-center studies analyzing cognitive subtypes and biomarker correlations in memory clinics. Key research themes include: Development of MRI/CT-based diagnostic tools for early Alzheimer's detection Role of genetic factors like APOE alleles in brain atrophy and biomarker profiles Integration of deep learning for volumetric analysis and brain age prediction Longitudinal studies on disease progression and subtype heterogeneity Recent publications highlight advancements in CT/MRI biomarkers, subcortical amyloid imaging, and the impact of lifestyle factors (e.g., alcohol use) on neurodegeneration. His research bridges clinical practice and technology, aiming to improve diagnostic accuracy and therapeutic strategies for neurodegenerative diseases.

• Alzheimer's Disease
• Dementia
• Neuroimaging (MRI/CT)
• +۴ مورد دیگر

Jonn Are Myhren is an Associate Professor and Senior Lecturer in the Department of Construction Technology at Dalarna University's School of Information and Engineering . He coordinates the Master's program in Energy-Efficient Construction , fostering global collaboration to address sustainable building challenges. His research focuses on applied construction technology and urban planning, emphasizing sustainable solutions for energy efficiency, circularity in wood construction, and indoor climate health. As research group leader, he leads projects such as the experimental 'Dalarnas villa' – a testing ground for sustainable building solutions. Key research areas include life cycle analysis, industrial wood applications, and decision-making frameworks for large-scale renovations. He actively collaborates with regional industries to bridge academic innovation with practical implementation. Contact: jam@du.se | Phone: +46 23-77 87 45

• Sustainable Construction
• Urban Development
• Energy-Efficient Renovation
• +۶ مورد دیگر

Benoni Edin is a Professor at the Department of Diagnostics and Intervention and the Faculty Office of Medicine at Umeå universitet. His research focuses on understanding the neuronal control mechanisms underlying human manual manipulation, including sensory integration, motor planning, and tactile feedback. He leads a research group exploring sensorimotor control across multiple levels from peripheral sensory receptors to brain mechanisms. Key themes include the role of tactile feedback in prosthetics, biomechanics of grasping, and neural adaptation in manipulation tasks. His work bridges basic neuroscience with clinical and technological applications in robotics and rehabilitation. Recent studies involve high-resolution imaging of skin deformation, force estimation from fingernail images, and vibrotactile feedback systems for amputees. Edin holds a Docent title and has contributed to over 70 peer-reviewed publications since 1987. Research activities emphasize interdisciplinary approaches combining microneurography, EEG, brain imaging, and robotic systems. His group investigates how sensory information (tactile, visual, auditory) is integrated for action planning, with implications for developing intelligent prosthetics and improving medical assessment protocols. The lab collaborates on projects like sensory feedback for hand prostheses and predictive models of biting behavior. Edin’s work has been applied to enhance prosthetic control algorithms and refine national medical licensing tests for international graduates. Current projects include context-dependent adaptations in biting behaviors and sensory information processing in motor control. His research has been supported by grants focusing on neurorehabilitation technologies and human-machine interfaces. The lab actively engages in translating fundamental neuroscience discoveries into clinical tools and assistive devices.

• Neurophysiology
• Motor Control
• Sensory Neuroscience
• +۳ مورد دیگر

Xinqi Bao is a Digital Futures Postdoctoral Fellow at KTH Royal Institute of Technology, affiliated with the School of Electrical Engineering and Computer Science and the Division of Information Science and Engineering. Their research focuses on applying explainable machine learning (XML) to analyze electronic health records and improve medication repurposing for dementia patients through the XMLD project, in collaboration with Karolinska Institute and Karolinska University Hospital. Education : PhD in Biomedical Engineering from King's College London (KCL). Prior Roles : Postdoctoral Research Associate at KCL and the Bath Institute for Augmented Human (IAH). Research Expertise : Biosensors, biomedical signal processing, wearable medical devices, prosthesis control, and cyberpunk-inspired technologies like biomechatronic prosthetics and brain-machine interfaces. Xinqi Bao’s work bridges cybernetics, machine learning, and healthcare, with a focus on translating Ghost in the Shell-inspired concepts into real-world applications. Their current project emphasizes enhancing clinical decision-making through XML-driven approaches. Contact: xba@kth.se

• Explainable Machine Learning
• Biomedical Engineering
• Neurotechnology
• +۷ مورد دیگر

Seyed Moein Pishnamaz is a Postdoctoral Researcher at Chalmers University of Technology, working in the Neural Bionics research group within the Department of Medical Signals and Systems. His research bridges electrical engineering and medical applications with a focus on developing diagnostic technologies. His primary research interests include brain-computer interfaces, neuromodulation, and microwave-based biomedical diagnostics. His current work focuses on hybrid modeling of intracortical microstimulation (ICMS) in humans to better understand physical interactions between intracortical microelectrodes and neurons, which aids in designing both electrodes and stimulation waveforms. Prior to his postdoc, he completed his doctoral studies in the Biomedical Electromagnetics research group where he developed a fast and portable prototype for microwave diagnostics of stroke for prehospital decision-making. His PhD work involved implementing, testing, and verifying experimental systems using phantom models, animal models, and patients. His publication record shows a consistent focus on microwave diagnostics, with recent work examining asymmetry detection in noisy environments, wave propagation in dielectric rod antennas, and techniques for reducing body surface interference in medical diagnostics. His research demonstrates a progression from foundational microwave engineering concepts to practical medical applications.

• Brain-computer interfaces
• Neuromodulation
• Microwave diagnostics
• +۴ مورد دیگر

Lars Wallman is a Senior Lecturer at the Division for Biomedical Engineering and the Neuronano Research Center (NRC) at Lund University. His academic career spans multiple disciplines including Medical Materials, Neurosciences, and Electrical Engineering, with a focus on neural implant technologies. His research interests include: Medical Materials and Prosthesis Technologies Neurosciences and Neural Engineering Biomedical Engineering with emphasis on Electrical Components Polymers for Neural Applications Electrode-Tissue Interfaces Dr. Wallman's work primarily investigates the critical interface between neural tissue and implantable devices, examining how material properties, flexibility, and surface characteristics affect tissue response and long-term functionality of neural implants. His research has significant implications for improving brain-computer interfaces and neuroprosthetic devices. Analysis of his publication record reveals a consistent focus on material science innovations for neural interfaces. His work systematically examines how flexibility parameters affect tissue response, with recent publications exploring polymer-based electrode arrays, biocompatibility testing of novel materials like OSTE+, and the development of tunable neural probes with controlled mechanical properties. Dr. Wallman has served as Assistant Supervisor for the dissertation project "Development of an in vitro model system of the blood-brain barrier" (2014-2019) and has been active in academic outreach, most recently participating as a Speaker in the "Life Science Microfluidics outreach to the Stemcell Center at LU" in November 2023. As Manager of the Life Science Microfluidics infrastructure at Lund University, he oversees critical resources supporting interdisciplinary microfluidics research, facilitating collaborations across engineering, neuroscience, and medical disciplines.

• Medical Materials
• Neurosciences
• Neural implants
• +۵ مورد دیگر