جستجوی استاد راهنمای دانشگاهی

• Artificial Intelligence
• Security and Privacy of Artificial Intelligence
• Distributed Learning

Dr M Aristodemou is a Research Associate in the Department of Computer Science at the University of York, affiliated with the Cyber Security & Privacy Research Group. Their work focuses on Artificial Intelligence security, distributed learning, and privacy-preserving technologies. They hold a PhD in Security of Artificial Intelligence from Loughborough University, preceded by an MEng in Systems Engineering. Their research emphasizes real-world applications of AI in healthcare monitoring and edge computing environments, with a particular interest in federated learning and energy-efficient systems. Key research themes include securing AI systems against adversarial attacks, designing low-energy edge devices for on-device personalization, and applying machine learning to analyze healthcare time-series data for neurological conditions. Their contributions span theoretical frameworks for privacy metrics and practical implementations in IoT and wearable technologies. Recent projects include the PRISM framework for healthcare IoT security and AI auditing methodologies. Their work bridges academic research with clinical applications, aiming to improve patient outcomes through intelligent monitoring systems while maintaining strict privacy standards. Collaboration on EU-funded initiatives and industry partnerships underscores their commitment to translating research into actionable solutions.

Luke Osbornمشاهده پروفایل

استادیار

• Neuroengineering
• Biomedical Engineering
• Prosthetics
• +۵ مورد دیگر

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.

Peng Zhangمشاهده پروفایل

استادیار

• Glioblastoma Therapy
• Immunology
• Nanotechnology
• +۳ مورد دیگر

Peng Zhang is an Assistant Professor in the Department of Neurological Surgery at Northwestern University's Feinberg School of Medicine. He leads the Peng Zhang-lab, focusing on advancing brain tumor therapy through interdisciplinary research integrating nanotechnology, immunology, bioinformatics, cancer biology, and immunometabolism. His work emphasizes translational studies to improve patient outcomes in glioblastoma treatment. Key affiliations include the Center for Human Immunobiology and the Robert H. Lurie Comprehensive Cancer Center. His research mission centers on remodeling the glioblastoma microenvironment and developing innovative therapies, such as nanoparticle treatments and neural stem cell therapies combined with targeted drugs. Recent studies highlight discoveries in tumor treatment resistance mechanisms and novel therapeutic agents for metastatic cancers. Zhang's lab promotes collaboration and multidisciplinary approaches, leveraging teamwork across Northwestern’s research community. Emphasis is placed on maintaining a balanced work-life ethos to foster creativity and productivity. His publications span advanced imaging techniques like visible-light optical coherence tomography (Vis-OCT) and 3D printing applications in medical device customization. Notable contributions include identifying mitochondrial roles in inflammation, segmental analysis of the conventional outflow pathway, and developing OCT-driven contact lens fabrication. His work bridges fundamental science with clinical applications, aiming to transform treatment paradigms for brain tumors and metastatic diseases.

Ganesh R. Naikمشاهده پروفایل

استاد مدعو

• Biomedical Engineering
• Signal Processing
• Data Science
• +۹ مورد دیگر

Ganesh R. Naik is an Adjunct Professor at the College of Medicine and Public Health, Flinders University, and a Full Member of the Flinders Health and Medical Research Institute. He is ranked in the top 2% of researchers worldwide in Biomedical Engineering (Stanford University). His expertise lies in biomedical signal processing, algorithm design, and health technologies, with significant contributions to sleep research and global disease burden studies. PhD in Electronics Engineering (Biomedical Engineering, Data Science, Signal Processing), RMIT University, 2009 Dr. Naik's research focuses on advanced signal processing techniques such as independent component analysis, blind source separation, and machine learning applications in biomedical data. His work spans areas including electromyography, sleep disorders, and large-scale epidemiological modeling through the Global Burden of Disease (GBD) Study. The recent publications highlight a strong interdisciplinary trend, combining biomedical engineering with public health and artificial intelligence. Key themes include sleep apnea and diabetes, neurological disorders like epilepsy and Parkinson’s, wearable sensors, and AI-driven cybersecurity. His editorial leadership in journals like IEEE Access and Frontiers in Neurorobotics underscores his influence in the academic community. Scientific Awards and Honors: Bridge and BridgeTech Industry Fellowship (2023) Chancellor’s Postdoctoral Research Fellowship, UTS (2013–2016) ISSI Overseas Fellowship, Skills Victoria (2010) IEEE Victoria Travel Scholarship (2008) Baden-Württemberg PhD Scholarship, Germany (2006–2007) Dr. Naik has supervised numerous research students and led major projects, including a multimillion-dollar CRC project on sleep at Western Sydney University. He has edited 12 books and authored over 150 peer-reviewed publications, cited over 5,000 times. His current research involves wearable technologies, digital twins for health, and AI-based predictive models for chronic diseases. He is actively involved in editorial roles and international collaborations, contributing to advancements in biomedical engineering and public health policy. His lab work emphasizes real-world applications of signal processing in clinical and community settings.

Klaus Jahnمشاهده پروفایل

استاد

• Neurology
• Vertigo
• Balance Disorders
• +۶ مورد دیگر

Professor Klaus Jahn serves as a Senior Physician and Research Group Leader at Ludwig-Maximilians-Universität München (LMU), where he directs neurorehabilitation research at the German Center for Vertigo and Balance Disorders (DSGZ). He also holds the position of Head of Department of Neurology at Schoen Clinic Bad Aibling. His work bridges clinical practice and academic research in the field of neurological movement disorders with a particular focus on balance and gait pathologies. Dr. Jahn's research centers on sensorimotor control of posture and gait following neurological injuries, including stroke, traumatic brain injury, and vestibular system disorders. His interdisciplinary team employs advanced methodologies including structural and functional neuroimaging, gait analysis, posturography, and sensor-based movement tracking to investigate movement disorders in neurological patients. His work aims to develop evidence-based interventions to improve functional outcomes in patients with neurological impairments. Analysis of Professor Jahn's publications reveals a consistent focus on clinical neurology with particular emphasis on vertigo, balance disorders, and gait abnormalities across the lifespan. His research spans from fundamental investigations of locomotor networks to clinical applications in rehabilitation, with a growing interest in pediatric vestibular disorders in recent years. Much of his work involves collaborative, multinational research efforts addressing diagnostic criteria and treatment approaches for neurological conditions. Professor Jahn maintains an active research program with continuous funding from prestigious sources including the German Research Ministry (BMBF) and the European Union. He mentors students including Theresa Raiser and Katherina Volkening, contributing to the next generation of neurology researchers and clinicians. His research group operates as an interdisciplinary collaboration between basic scientists, clinicians, and physical therapists, reflecting the comprehensive approach needed to address complex neurological rehabilitation challenges. The DSGZ platform serves as a hub for translational research connecting laboratory findings with clinical applications in neurorehabilitation.

Dingchang Linمشاهده پروفایل

استادیار

• Biomaterials Engineering
• Neuroscience
• Protein Engineering
• +۶ مورد دیگر

Dingchang Lin is an Assistant Professor in the Department of Materials Science and Engineering at Johns Hopkins University's Whiting School of Engineering. His research focuses on developing biomolecules, materials, and electronic devices for probing and modulating biological systems, particularly the central nervous system. Education: B.S., Materials Science and Engineering, Tsinghua University (2013) Ph.D., Materials Science and Engineering, Stanford University (2018) Postdoctoral Training, Chemistry and Chemical Biology, Harvard University Lin's lab addresses technological gaps in cell biology, neuroscience, and materials science through protein engineering, novel materials design, and device engineering. His work enables cellular-level resolution and specificity in biological modulation, with clinical translation potential. Current research spans from molecular-scale materials to device-level systems. Recent grants include NIH BRAIN Initiative R21, NSF DMR, multiple JHU Discovery Awards, and the DoD AFOSR YIP Award. His group has been recognized by Nature Methods and Nature Reviews Genetics for their protein ticker tape technology. Scientific Honors: Packard Fellow for Science and Engineering (2024) NIH NIGMS MIRA Award (2022) Web of Science Highly Cited Researcher (2019–2024) MRS Graduate Student Award (2018) Ross N. Tucker Memorial Award (2017) The Lin Lab collaborates with neuroscience and biomedical research teams while actively recruiting postdocs and graduate students. Their work combines materials science innovation with biological applications, supported by over $2 million in NIH funding and multiple institutional awards.

• Biomedical Engineering
• Complex Medical Engineering
• Networked Systems
• +۱۴ مورد دیگر

Dr. Shahab Abdulla serves as an Associate Professor at the University of Southern Queensland within the College of English Language, specializing in pathway programs for international students transitioning to tertiary education. His academic role bridges mathematics, engineering, and language preparation through foundational courses including Linear Systems and Control, Mathematical Methods, and General Science. His academic qualifications include: BSc from University of Technology, Baghdad MSc from University of Technology, Baghdad PhD from University of Southern Queensland Dr. Abdulla's research spans Biomedical Engineering , Complex Medical Systems , and Networked Control , with pioneering work in Deep Learning for environmental forecasting and medical diagnostics. His AI research encompasses Neural Networks, Reinforcement Learning, and graph-based models applied to climate impact assessment and resource management, reflecting a commitment to solving interdisciplinary global challenges through computational innovation. Analysis of his 15 most recent publications reveals consistent application of decomposition techniques (wavelet, Fourier, curvelet) integrated with deep learning architectures across domains including ocean energy forecasting, medical imaging, and social network analysis. This demonstrates a methodological signature of combining signal processing with AI to extract patterns from complex temporal and spatial data. Though specific awards aren't detailed, his leadership is evidenced by chairing IEEE conferences and international committee service. He has supervised over 14 higher-degree research students while leading the Advanced Data Analytics Modelling Research Simulation Group, generating 55+ Q1 journal publications with 1000+ recent citations and 30+ global seminars. The Advanced Data Analytics Modelling Research Simulation Group under his direction develops AI-driven solutions for environmental monitoring, medical diagnostics, and engineering systems, maintaining active collaborations across the Middle East, US, Japan, Europe, China, and Canada.

Mustafa Doğanمشاهده پروفایل

استاد

• Control Systems
• Automation Engineering
• Biomedical Engineering
• +۱۱ مورد دیگر

Mustafa Doğan is a Professor in the Department of Control and Automation Engineering at Istanbul Technical University (ITU), College of Engineering. His research integrates control theory, automation, and biomedical applications, with a strong focus on robotics, medical imaging, and biomechanics. He is actively involved in interdisciplinary projects bridging engineering with healthcare solutions. His research interests include Control Systems , Biomedical Engineering , Robotics , Machine Learning , Electrospinning , and Musculoskeletal Biomechanics . These are supported by a diverse publication portfolio and active research projects. His work often applies advanced computational and control methods to solve real-world biomedical and industrial problems. The recent publications highlight a strong trend toward biomedical applications, especially in muscle modeling , brain MRI segmentation , and drug delivery systems , while also maintaining strength in industrial automation and adaptive control . The integration of deep learning with traditional signal processing techniques (e.g., Gabor and Contourlet transforms) is a recurring theme. No scientific awards are mentioned in the provided text. Mustafa Doğan leads research projects such as Innovative Biomechanical Approaches for Treating Biceps Brachii Injuries and Musculoskeletal Disorders funded by BAP at ITU. While no formal list of advisees is provided, his role as a professor and principal investigator suggests active supervision of graduate students. He has no listed grants beyond the BAP project. His research is conducted within the Department of Control and Automation Engineering at ITU, likely involving a research lab or team focused on control systems, robotics, and biomedical applications, though specific lab names are not mentioned.

Val Morrisonمشاهده پروفایل

استاد

• Health Psychology
• Informal Caregiving
• Chronic Illness
• +۷ مورد دیگر

Professor Val Morrison at Bangor University’s School of Psychology and Sports Science specializes in Health Psychology , focusing on psychosocial outcomes in chronic illness and informal caregiving. Her work bridges clinical practice and research, influencing NHS interventions and European health psychology education through coauthoring a leading textbook. Key collaborators include Dutch and Welsh healthcare institutions. Research Interests : Chronic illness coping, caregiver dynamics, rehabilitation programs, and technology-assisted therapy. Projects : ENTWINE-iCohort (informal care), FEMuR (hip fracture rehab), and HIV stigma-reduction via community quilting. Publications : 110+ outputs including International Journal of Social Robotics and BMJ Open studies on caregiver-robot interactions and community rehab efficacy. Network : Collaborations with UMCG, Tenovus Cancer Care, and multidisciplinary teams across Europe.

Ken Valyearمشاهده پروفایل

مدرس

• Neuroscience
• Motor Control
• Neuroimaging
• +۶ مورد دیگر

Dr. Ken Valyear is a Lecturer at the School of Psychology and Sports Science, Bangor University, specializing in the neuroscience of human hand function and rehabilitation. His work bridges clinical applications with fundamental neuroimaging, focusing on peripheral nerve injury and stroke recovery. Research Interests: Understanding neural mechanisms of hand function and action planning Investigating brain plasticity following nerve injuries or stroke Developing rehabilitation strategies using fMRI and TMS Improving pediatric prostheses through movement science Methodology: Employs functional MRI, transcranial magnetic stimulation, motion capture, and clinical assessments to study sensorimotor integration and cortical reorganization. Article Trends: Recent publications emphasize cortical plasticity after limb reattachment, affordance judgment training, and neural substrates of hand choice. Disciplinary keywords span Neuroimaging , Neural Plasticity , and Motion Capture , with sub-fields like Parietal Cortex and Rehabilitation Neuroscience .

• Complex Systems
• Dynamical Systems
• Network Science
• +۱۳ مورد دیگر

Luc Berthouze is a Professor of Complex Systems (Informatics) at the School of Engineering and Informatics, University of Sussex, where he leads interdisciplinary research at the intersection of mathematics, engineering, and neurophysiology. He also holds an honorary appointment at the Great Ormond Street Hospital Institute of Child Health, University College London. His educational background includes a PhD in Applied Mathematics and Computer Science from the University of Evry Val d’Essonne (1996), followed by research positions at the Electrotechnical Laboratory (ETL) and the National Institute of Advanced Industrial Science and Technology (AIST) in Japan, before joining the University of Sussex faculty in 2006. His research focuses on dynamical processes on networks, including neuronal synchronization, epidemic spreading, and fault detection in IT infrastructures. He develops mathematical models and analysis methods rooted in dynamical systems, random processes, graph theory, control theory, and signal processing. Applications span neuroscience (EEG, EMG, MEG), robotics, and large-scale network management. The trend in his recent publications reveals a strong emphasis on network dynamics across biological and technological systems. Key themes include functional connectivity inference, metastability in oscillatory networks, epidemic modeling on structured networks, and scalable observability in microservices. His work increasingly bridges neuroscience and computer engineering, exemplified by projects like 'Rethinking large-scale network management through the lens of neuroscience.' Mathematical Neuroscience Mathematical Epidemiology Time Series Analysis Network Analysis Synchronization and Criticality Motor Control and Coordination He has received substantial research funding from EPSRC, Innovate UK, Moogsoft, Aviva, and the Leverhulme Trust, supporting work on network controllability, data-driven decision making, and Bayesian inference. His grants often involve collaborations with industry partners, indicating applied and translational impact. He supervises research projects and teaches courses such as 'Intelligence in Animals and Machines,' contributing to both undergraduate and postgraduate education. His lab and research team work on developing scalable mathematical frameworks for network analysis, with applications in healthcare, robotics, and IT infrastructure.

• Brain-inspired/Neuromorphic Computing
• Energy-Efficient AI on Edge
• Dynamic Systems
• +۲ مورد دیگر

Yan Fang is an Assistant Professor at the Department of Electrical and Computer Engineering, Kennesaw State University. Her research focuses on brain-inspired computing, energy-efficient AI, and novel computing systems using emerging nanodevices. PhD in Electrical Engineering, University of Pittsburgh (2018) Postdoctoral Fellow, Georgia Tech (2018-2021) Research interests include: Neuromorphic computing for edge AI Dynamic systems analysis Computational neuroscience applications Robotics Scientific awards: SRC/DARPA Jump 2.0 Center Broad Participation Champion ($250k, 2023-2027) NSF CRII Award for neuromorphic processing framework ($173,894, 2022-2025) Kennesaw State Summer Undergraduate Research Mentor ($8,800, 2023) Georgia Tech Petit Scholar Mentor ($10,000, 2020)

Mark Bickhardمشاهده پروفایل

استاد

• Cognitive Psychology
• Theoretical Psychology
• Philosophy of Mind
• +۷ مورد دیگر

Mark Bickhard is a Professor at Lehigh University , holding the Henry R. Luce Professorship in Cognitive Robotics and the Philosophy of Knowledge . He is affiliated with the Departments of Psychology and Philosophy , and serves as Director of the Institute for Interactivist Studies . Ph.D. in Human Development, University of Chicago, 1973 M.S. in Statistics, University of Chicago, 1970 B.S. in Mathematics, University of Chicago, 1966 His research spans Cognitive Psychology , Process Metaphysics , and Philosophy of Mind , focusing on the emergence of normativities, consciousness, and social persons. He has contributed to debates on Dynamic Systems , Neural Processes , and Developmental Psychology . Recent publications explore Emergent Constructivism , Interactivist Modeling , and Functional Brain Architecture , reflecting his interdisciplinary approach bridging Philosophy , Cognitive Science , and Neuroscience . He teaches courses including Philosophy of Physics and Minds and Persons in the Natural World , and maintains an active research agenda through his institute.

Mehmet KOCATURKمشاهده پروفایل

استادیار

• Neuroprosthetics
• brain-machine interface
• computational neuroscience
• +۱ مورد دیگر

Mehmet KOCATURK is an Assistant Professor in the Department of Biomedical Engineering at Istanbul Medipol University, where he leads the Neuroprosthetics and Sensorimotor Research Group. His research specializes in neuroprosthetics, brain-machine interfaces, computational neuroscience, and biomedical instrumentation. Education Ph.D. in Biomedical Engineering, Bogazici University, 2015 M.Sc. in Biomedical Engineering, Bogazici University, 2007 B.Sc. in Electronics and Communication Engineering, Istanbul Technical University, 2004 Professional Experience Research Assistant, Bogazici University (2008-2015) Software Design Engineer, Nortel Networks Netas (2005-2008) Research Focus Dr. Kocaturk's work bridges neural engineering and clinical applications, with emphasis on developing implantable medical devices, neural signal processing algorithms, and motor skill learning mechanisms through neuroprosthetic systems. His projects often integrate computational modeling with experimental neuroscience. Teaching Activities Undergraduate Principles of Medical Device Design (2019-2020) Artificial Neural Networks (2018-2020) Biomedical Instrumentation (2017-2020) Microprocessors (2016-2020) Graduate Therapeutic Medical Devices (2019-2020) Neural Networks for Signal Processing (2018-2020) Fundamentals of Neuroengineering (2017) Computational Neuroscience (2016) Research Leadership He directs multiple funded projects including a TUBITAK-supported initiative to design implantable dopamine sensors and another investigating neural mechanisms of motor learning. He mentors undergraduate researchers in projects spanning ECG systems and closed-loop anesthesia devices.

• Robotics
• Biomedical Engineering
• Artificial Intelligence
• +۳ مورد دیگر

Panaite Arun Fabian is an Assistant Professor of Engineering at the Faculty of Mechanical and Electrical Engineering, Department of Automation, Computers, Electrical and Power Engineering, affiliated with UPET. His research focuses on interdisciplinary engineering applications, including robotics, biomedical systems, and human-machine interaction. Notable projects include AI-driven gait analysis for neurodegenerative diseases, brain-computer interfaces for educational robotics, and biomimetic prosthetic devices. His work bridges mechanical engineering with healthcare technology, emphasizing assistive technologies and motion capture systems. Research interests span robotics, biomedical engineering, and sensor technologies, with a focus on applications like prosthetics, human motion analysis, and augmented reality in robotics control. His publications since 2019 highlight trends in assistive robotics, educational robotics, and bio-inspired mechanisms. While no specific awards are listed, his contributions to neurotechnology and rehabilitation engineering demonstrate impactful research. Advising and grants details are not provided in available texts. His work often involves collaborations within the department's automation and electrical engineering fields.