جستجوی استاد راهنمای دانشگاهی

Martin Skoglundمشاهده پروفایل

دانشیار مدعو

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

• Automatic Control
• Systems Engineering
• Machine Learning
• +۳ مورد دیگر

Bo Bernhardsson is a Professor at the Department of Automatic Control, Lund University, and a member of ELLIIT. He holds academic roles in multiple profile areas, including AI and Digitalization, Engineering Health, and Natural and Artificial Cognition. His research focuses on control systems, EEG signal analysis, radio-based sensing, and medical data modeling. Bernhardsson earned his Ph.D. in Automatic Control from Lund University in 1992, followed by a postdoc at the University of Minnesota. He returned to Lund as a docent (1998) and became a full professor in 1999. From 2001–2010, he worked at Ericsson on mobile system design before resuming his professorship at Lund. He has supervised over 30 students and contributed to projects like the European Spallation Source (ESS) and healthcare innovations. His work bridges theoretical analysis with practical applications in telecommunications and biomedical engineering. Education: Ph.D. in Automatic Control, Lund University, 1992 Postdoctoral Fellowship, Institute for Mathematics and its Applications, University of Minnesota Docent in Automatic Control, Lund University, 1998 Research Interests: Control of uncertain systems, EEG analysis, radio-based communication, medical data modeling, and industrial applications like the ESS. Grants & Projects: Includes "Learning pharmacometric model structures from data" (2022–2024) and "COVID-19: Dynamical modelling for estimation and prediction" (2020–2022). Labs/Teams: Involved in ELLIIT, LCCC, and initiatives like WASP. Engaged in projects like cloud computing, autonomous control systems, and biomedical robotics.

Carolina Bergelingمشاهده پروفایل

مدرس ارشد

• Brain-Computer Interfaces
• Control Engineering
• Marine Engineering Systems
• +۳ مورد دیگر

Carolina Bergeling is a Senior Lecturer in control engineering at the Department of Mathematics and Natural Sciences at Blekinge Institute of Technology (BTH), a position she has held since January 2022. Her research spans the interdisciplinary fields of Brain-Computer Interfaces, control engineering, and marine engineering systems. Dr. Bergeling's research interests focus on: Brain-Computer Interfaces and neural signal processing Control of complex systems, particularly in marine environments H-infinity optimal control theory and applications Systems engineering approaches to multi-agent and distributed systems Her recent publications demonstrate a strong focus on applying advanced control theory to Brain-Computer Interface technologies, with particular emphasis on tensor decomposition methods, domain adaptation techniques, and multi-armed bandit approaches for improving EEG signal processing and neural decoding. She also maintains an active research program in H-infinity optimal control, with contributions to theoretical foundations and practical applications in marine engineering contexts. Dr. Bergeling's scientific contributions include: Advancements in tensor decomposition techniques for transfer learning applications in BCI Novel methods for improving EEG-based decoding of auditory attention through domain adaptation Applications of multi-armed bandit theory to brain-computer interface calibration Significant contributions to H-infinity optimal control theory for various system classes She teaches courses in control engineering and robotics, and serves as a supervisor for projects in the Marine Engineering program at BTH. Her ongoing research project focuses on "Swarming technology for cooperative surface and underwater vehicles (drones)," demonstrating her commitment to applying theoretical control concepts to practical marine engineering challenges.

Bo Bernhardssonمشاهده پروفایل

استاد

• Control Engineering
• Medical Data Modeling
• Signal Analysis
• +۳ مورد دیگر

Bo Bernhardsson is a full Professor at Lund University's Department of Automatic Control within the Lund Institute of Technology (LTH). He also holds roles in ELLIIT (Linköping-Lund initiative on IT and mobile communication) and is a profile area member in Engineering Health, AI and Digitalization, and Natural and Artificial Cognition. After earning his Ph.D. in Automatic Control from Lund University in 1992 and a postdoctoral fellowship at the University of Minnesota, he returned to Lund, becoming a docent (1998) and full professor (1999). From 2001–2010, he worked at Ericsson as a mobile system design and optimization expert before resuming his academic role at Lund University. Education: Ph.D. in Automatic Control (Lund University, 1992), Docent (1998) Affiliations: ELLIIT, LTH Profile Areas (Engineering Health, AI & Digitalization), LU Profile Area (Natural and Artificial Cognition) His research focuses on EEG signal analysis , control of uncertain systems , radio-based sensing and communication , and medical data modeling , blending theoretical analysis with practical applications. His work contributes to UN Sustainable Development Goals through advancements in healthcare and communication systems. Recent research highlights include advancements in 5G NR localization, EEG-based auditory attention decoding, and transfer learning for medical signal processing. He has supervised over 37 students, including doctoral candidates like F. Heskebeck and D. Pjanić. Active in interdisciplinary collaborations, he organized workshops such as the 2021 AI Lund seminar on uncertain system modeling and contributed to projects like the 2020–2022 pandemic dynamics initiative. Bernhardsson has authored 146 publications, 19 research projects, and engaged in 41 academic activities, reflecting his leadership in both technical and educational spheres within control engineering and applied systems.

Jonas Olofssonمشاهده پروفایل

استاد

• Olfaction
• Perception
• Memory
• +۵ مورد دیگر

Jonas Olofsson is a Full Professor of Psychology at Stockholm University, where he leads the Sensory Cognitive Interaction Laboratory. His research explores the intersection of olfaction, memory, and emotion, with a focus on how smell influences cognitive processes. He investigates olfactory markers for dementia, odor-naming challenges, and therapeutic applications of smell-based interventions. His work employs behavioral experiments and neuroimaging techniques. Olofsson holds a PhD from Umeå University (2008) and a docentship from Stockholm University (2009). He has held affiliations with Northwestern University, The Scripps Research Institute, Karolinska Institutet, and New York University. His research is funded by the Swedish Research Council, Wallenberg Foundations, and the Swedish e-Science Research Centre. His recent publications emphasize olfactory dysfunction in aging and post-COVID contexts, virtual reality applications for smell training, and cross-cultural studies of odor perception. Articles frequently integrate neuroscience, psychology, and computational methods to decode sensory-cognitive interactions. Awards include: Member of Academia Europaea (2021) Wallenberg Academy Fellow (2016) Fulker Award for best article in Behavior Genetics (2009) Swedish National Committee Prize for Young Researchers (2010) He directs the Sensory Cognitive Interaction Laboratory, coordinating interdisciplinary projects on olfactory perception and its clinical applications. No student advisees or part-time status are explicitly mentioned.