جست‌وجوی استاد و پژوهشگر

Lloyd Chanمشاهده پروفایل

مدرس

• Gait Analysis
• Wearable Sensors
• Digital Biomarkers
• +۷ مورد دیگر

Lloyd Chan is a Lecturer at the University of New South Wales and a conjoint research fellow at Neuroscience Research Australia (NeuRA). His academic appointments bridge biomedical engineering and clinical neurorehabilitation, with a focus on translating wearable sensor technology into practical clinical applications for neurological and geriatric populations. Education: Doctor of Philosophy (PhD) from University of New South Wales Master's in Epidemiology and Biostatistics with Salutatorian honours from Chinese University of Hong Kong (CUHK) Bachelor's degree in Physiotherapy with honours from Hong Kong Polytechnic University (PolyU) Dr. Chan's research revolves around two interconnected themes: quantifying daily-life walking speed and quality using wearable sensors, and developing predictive models for disease progression and health outcomes using digital biomarkers. His work has pioneered methods for assessing gait abnormalities in Parkinson's disease and stroke survivors, with particular emphasis on real-world mobility metrics that better reflect clinical status than traditional laboratory assessments. Through collaborations with clinicians and industry partners, his innovations have been translated into actual clinical practices, most notably in fall prevention and mobility assessment for elderly populations. Analysis of Dr. Chan's recent publications reveals a consistent trajectory toward large-scale validation of digital gait biomarkers using wrist-worn sensors. His work leverages the UK Biobank dataset to establish normative values for walking metrics across age groups and to identify specific gait patterns predictive of cardiovascular mortality, dementia, depression, and frailty. This research represents a paradigm shift from laboratory-based gait analysis to real-world mobility assessment, with significant implications for early intervention and personalized rehabilitation planning. Scientific Awards: 2024 Paper of the Year Award in Digital Medicine & Digital Biology (UNSW) 2023 NeuRA Publication Excellence Award 2023 WILEY Top Cited Article Award in Physical Medicine and Rehabilitation Australian Government Research Training Program Scholarship (2020) Multiple early-career awards from Hong Kong institutions Dr. Chan has secured significant research funding as lead investigator on projects including the Stroke Foundation's SmartStep Stroke initiative for stroke survivors and the Ageing Futures Institute's Beyond Step Counts project. His work demonstrates strong translational potential, with several innovations moving from research validation to clinical implementation. As a former practicing physiotherapist with extensive experience treating Parkinson's disease and stroke patients, he brings valuable clinical perspective to his research endeavors. Dr. Chan serves as Topic Editor for Frontiers in Aging Neuroscience and as a Grant Scheme Reviewer for Stroke Foundation Australia, demonstrating his growing influence in the field of neurorehabilitation and digital health.

• Internal Combustion Engines
• Fluid Machines
• Energy Systems
• +۶ مورد دیگر

Enrico MATTARELLI is a Full Professor at the University of Modena and Reggio Emilia, Department of Engineering "Enzo Ferrari". His academic career focuses on fluid machines, energy systems, and internal combustion engines, with particular expertise in alternative fuels and sustainable propulsion technologies. Professor MATTARELLI's research interests span across hydrogen engines, dual fuel combustion systems, sustainable fuels for heavy-duty applications, and innovative engine designs. His work demonstrates a consistent focus on reducing emissions while maintaining or improving thermal efficiency. He has made significant contributions to the understanding of hydrogen combustion in two-stroke engines, opposed piston configurations, and dual fuel systems combining natural gas/hydrogen with diesel ignition. His recent publications reveal a strong trend toward decarbonization of transportation through innovative engine technologies. The research shows particular emphasis on hydrogen applications across various engine types (two-stroke, four-stroke, opposed piston) and sectors (automotive, aviation, power generation). A notable pattern is the systematic approach to optimizing combustion systems for alternative fuels while addressing practical engineering challenges like emissions control and performance maintenance. While no specific awards are listed in the provided material, his extensive publication record in high-impact journals and conference proceedings demonstrates significant scholarly contribution to the field of mechanical engineering and sustainable propulsion technologies. Professor MATTARELLI teaches several advanced courses including Machines and Energy Systems, Powerunit/Internal Combustion Engines, and Engine Components Design for both Mechanical Engineering and Vehicle Engineering programs. His teaching materials indicate a strong emphasis on practical engineering applications combined with theoretical foundations in thermodynamics and fluid dynamics.

• Quantum Optics
• Topological Phases of Matter
• Quantum Thermodynamics
• +۳ مورد دیگر

Dr. Sourav Bhattacharjee is a Postdoctoral Researcher at the Institute of Photonic Sciences (ICFO), specializing in quantum optics and theoretical condensed matter physics. He holds a PhD in Physics from the Indian Institute of Technology Kanpur (India). His research focuses on quantum many-body systems, topological phases, and quantum thermodynamics, with emphasis on driven systems and dissipative processes. Key research interests include Anderson localization, Floquet engineering, topological phase transitions, and quantum thermal machines. He explores these topics through analytical and numerical methods, addressing non-equilibrium dynamics and entanglement properties in quantum systems. Recent work investigates quasilocalization in aperiodic potentials and mutual information growth in open quantum systems. Dr. Bhattacharjee's studies span a range of platforms including Kitaev chains, Haldane models, and quantum rotor systems. His contributions highlight the interplay between topology, dissipation, and energy transfer in quantum technologies. He collaborates with the Quantum Optics Theory group at ICFO, advancing theoretical frameworks for next-generation quantum devices and thermal machines.

• Robotics
• Motion Control
• Physical Human-Robot Interaction
• +۳ مورد دیگر

Professor Erik Kyrkjebø is a robotics scholar at the Western Norway University of Applied Sciences (HVL), leading the Robotics research group. He holds a PhD (2007) and Master's (2000) from NTNU, and a Bachelor's (1998) from Sogn og Fjordane University College. His research focuses on physical Human-Robot Interaction, cooperative control, and student-active online learning. He has led major projects like the 4.5 M€ Teknoløft initiative to boost regional research in robotics and big data. Key roles include PI of projects such as CoBotAGV and RobotHandleS, and board memberships in regional innovation bodies. His education history spans foundational degrees in engineering cybernetics and control engineering. Recent projects emphasize industrial collaboration, including robotic solutions for surgical instruments and raspberry production systems. Awards include a Marie Curie Fellowship (2005). He has supervised numerous PhD and master’s students, focusing on topics like rehabilitation robotics and human-robot cooperation. Research interests span motion control, robotics for medical applications, and educational technology. He teaches advanced robotics courses and contributes to interdisciplinary initiatives like the HVL Robotics Lab. His work bridges academia and industry through projects with partners like ABB, Statoil, and hospitals.

• Clinical Epilepsy
• Neuromodulation
• Neurophysiology
• +۵ مورد دیگر

Ryan McGinn is an Assistant Professor of Clinical Neurology at the University of Southern California (USC). His academic journey spans diverse fields: beginning as a professional jazz musician, he transitioned to study physics and neural engineering at the University of Toronto before completing medical training at McMaster University and epilepsy fellowships at Stanford University. He currently focuses on clinical epilepsy, emphasizing advanced treatments like epilepsy surgery, neuromodulation (e.g., thalamic and cortical stimulation), and network-based interventions. Dr. McGinn's research integrates quantitative sciences with medicine, particularly in understanding seizure states and connectivity through signal processing of intracranial recordings. His work addresses cutting-edge topics such as thalamic involvement in refractory epilepsy, fasciola cinereum as an interventional target, and touch-screen automatisms in the digital era. His contributions include systematic reviews on stereotactic biopsies and mesenchymal stem cell therapies for stroke, reflecting his commitment to bridging preclinical and clinical research. His publications span over two decades, demonstrating expertise in epilepsy mechanisms, neurophysiology, and translational neuroscience. His early work explored thermoregulation in diabetes and exercise physiology, reflecting his interdisciplinary background. Collaborative efforts in neuroengineering and precision medicine underscore his vision for personalized neurological care. No specific scientific awards or grants are highlighted in the profile, though his extensive publication record indicates sustained research activity. His educational background in both music and physics uniquely informs his approach to understanding complex neurological patterns and rhythms.

• Assistive Technology
• Rehabilitation Engineering
• Neurological Rehabilitation
• +۳ مورد دیگر

Douglas Rakoski is an Assistant Professor directing the Therapeutic Technology Program at Loma Linda University Medical Center. He previously held roles as a clinical specialist in assistive technology at the University of Michigan Health System and worked at Rancho Los Amigos National Rehabilitation Center specializing in spinal cord injury rehabilitation. His research focuses on assistive technology integration, clinical reasoning models, and neurorehabilitation innovations. He has contributed to NIH-funded studies on implantable electrodes for stroke recovery and NIDRR-funded mobile arm support development. Rakoski’s work bridges clinical practice and technological innovation in occupational therapy, emphasizing user-centered design and evidence-based practice. His scholarship spans over two decades with publications addressing virtual environments in therapy, systematic assistive technology evaluation frameworks, and future visions for technology-driven healthcare solutions. His professional contributions include managing complex assistive technology programs and collaborating on interdisciplinary research projects. Grants have supported his exploration of emerging technologies in rehabilitation contexts. He leads the Therapeutic Technology Program, fostering advancements in rehabilitation engineering and occupational therapy applications through both clinical and academic initiatives.

Catherine Ikembaمشاهده پروفایل

استاد بالینی

• Congenital Heart Disease
• Prenatal Diagnosis
• Pediatric Cardiology
• +۳ مورد دیگر

Dr. Catherine Ikemba is a Clinical Professor at the University of Texas Southwestern Medical Center, specializing in pediatric cardiology with a focus on prenatal diagnosis, treatment, and counseling for congenital heart disease. She leads a fetal heart program certified by the Joint Commission since 2009. Her academic background includes a medical degree from the University of Southern California, pediatric residency at Albert Einstein College of Medicine/Montefiore Medical Center, and advanced training in cardiology and perinatal cardiology at Baylor College of Medicine/Texas Children’s Hospital. Her research emphasizes fetal cardiac interventions, Ebstein anomaly pathophysiology, and the clinical management of congenital heart defects. Notable projects include developing magnetically guided fetal cardiac procedures and evaluating outcomes in tricuspid valve dysplasia. Her work spans over two decades, with contributions to understanding hypertrophic cardiomyopathy, intrauterine tumors, and the role of oxygen supplementation in diagnostic imaging. Dr. Ikemba’s publications address critical areas like neonatal cardiac tumors, patent foramen ovale diagnosis, and the systemic review of intracardiac shunting in pediatric stroke. She actively collaborates across institutions, evidenced by multi-center studies on Ebstein anomaly outcomes and fetal heart care protocols. While specific grants or awards are not listed, her extensive publication record highlights sustained contributions to pediatric cardiology and fetal medicine. As a clinical educator, she trains future specialists while maintaining leadership roles in academic medicine. Her work integrates clinical care, research innovation, and fetal-to-neonatal continuity of care.

Michael D Kawajaمشاهده پروفایل

استاد

• Neurosciences
• Biological aspects
• Chemical aspects
• +۶ مورد دیگر

Michael D Kawaja is a Professor in the Department of Biomedical and Molecular Sciences at Queen's University's School of Medicine, Faculty of Health Sciences. He holds cross-appointments with the Translational Institute of Medicine (TIME) and the Centre for Neuroscience Studies at Queen's University. Previously, he served as Associate Dean of the School of Medicine from 2016-2022. Dr. Kawaja's research focuses on nervous system plasticity, particularly the inherent ability of the nervous system to adapt structurally and functionally to injury or disease. His laboratory pursues two primary research directions: first, investigating the role of growth factors and their receptors in the generation of new axonal processes, with specific focus on aberrant sympathetic axon growth in response to elevated nerve growth factor (NGF) in animal models of peripheral nerve injury and inflammatory conditions; second, examining how grafting different cell types into injured spinal cords can enhance axonal growth and functional recovery. His research employs diverse methodologies including conventional microscopic examination, proteomics, and transgenic technologies to address neural repair mechanisms across various neuropathological conditions. The ultimate goal of his work is to discover therapeutic strategies that ameliorate disease-associated aberrant sympathetic sprouting and lessen consequences arising from peripheral nerve injury and hypertension. Dr. Kawaja's publication record spans over three decades, with significant contributions to understanding neurotrophin signaling, axonal regeneration, spinal cord injury, and the role of olfactory ensheathing cells in neural repair. His work demonstrates a consistent focus on the molecular and cellular mechanisms underlying neural plasticity and repair. Dr. Kawaja's educational background includes a PhD in Anatomy from Western University (1989), an MSc in Biology from Acadia University (1985), and a BSc in Biology from Acadia University (1983). His research has been supported by major Canadian funding agencies including the Canadian Institutes of Health Research, Heart and Stroke Foundation of Ontario, and Ontario Neurotrauma Foundation.

Maria Rangoussiمشاهده پروفایل

استاد

• Digital Signal Processing
• Spectral Analysis
• Pattern Recognition
• +۶ مورد دیگر

Maria Rangoussi is a tenured Professor in the Department of Electrical and Electronics Engineering at the University of West Attica, where she directs the MSc by Research in Electrical and Electronics Engineering program. Previously, she served as Professor, Head of the Department, and Dean of the Faculty of Engineering at Piraeus University of Applied Sciences (1998–2018). Her academic journey includes a Diploma in Electrical Engineering from the National Technical University of Athens (1987), an MSc in Digital Signal Processing from the University of Virginia (1990), and a PhD in Digital Signal (Speech) Processing & Pattern Recognition from NTUA (1994). Her research spans Digital Signal Processing, Spectral Analysis, and Pattern Recognition, with applications in Speech/Audio, Environmental, and Biomedical Engineering. Current interests emphasize e-learning technologies, educational data mining, and learning analytics. She has authored/co-authored over 100 publications and two textbooks, focusing on interdisciplinary innovations in engineering education and signal processing. Her recent work explores virtual reality in engineering education, recommender systems for teachers, and green practices in vocational education. Notable contributions include the ESOUNDMAPS project for environmental monitoring via Wireless Acoustic Sensor Networks and the development of web-based platforms for active learning in physics labs. Rangoussi’s pedagogical innovations include blending e-learning with hands-on labs, early prediction of student performance through data mining, and the use of pedagogical agents for enhanced learning. Her research bridges engineering fundamentals with modern educational technologies, addressing both technical and pedagogical challenges in STEM education.

Mohammad Abbas Yaseenمشاهده پروفایل

استادیار

• Biomedical Imaging
• Neurodegenerative Diseases
• Optical Microscopy
• +۳ مورد دیگر

Mohammad Abbas Yaseen is an Assistant Professor of Bioengineering at Northeastern University, affiliated with the Optical Microscopy & Neuro-Imaging (OMNI) Lab. He holds a PhD from Rice University (2008) and a BS from Johns Hopkins University (2002). His research focuses on advanced optical microscopy techniques to study brain function in rodent models of human diseases, particularly neurodegenerative disorders and stroke. Education: PhD in Bioengineering, Rice University, 2008 BS in Biomedical and Electrical Engineering, Johns Hopkins University, 2002 Research highlights: Develops high-resolution optical tools to assess metabolic and immune changes in the brain. Investigates neurovascular and neuroimmune alterations in Alzheimer’s disease and stroke using multiphoton microscopy. Lab projects include cerebral oxygenation monitoring and biomarker identification for neurodegenerative diseases. Publications span topics like cerebral blood flow dynamics, neuroinflammation, and optical imaging techniques. His lab actively mentors undergraduate and graduate students in Northeastern’s College of Engineering. The OMNI Lab collaborates with institutions like the Martinos Center for Biomedical Imaging and maintains NIH-funded research programs.

• Decision support systems
• Computational intelligence
• Recommender systems
• +۴ مورد دیگر

Distinguished Professor Jie Lu is Associate Dean (Research Excellence) in the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS), where she also serves as Director of the Australian Artificial Intelligence Institute (AAII). With over two decades of academic service at UTS, she has held progressively senior roles including Professor since 2007, Head of School of Software (2011-2014), and Director of the Centre for Artificial Intelligence (2017-2020) before assuming her current leadership positions. Professor Lu earned her PhD from Curtin University in 2000 and joined UTS the same year. Her academic journey progressed from Lecturer (2000-2001) to Senior Lecturer (2002-2004), Associate Professor (2005-2007), and ultimately Professor (2017-present). Professor Lu's research spans computational intelligence with particular expertise in decision support systems, fuzzy transfer learning, concept drift, and recommender systems. Her work bridges theoretical innovation with practical applications across transportation, telecommunications, healthcare, and education sectors. She has pioneered approaches in data-driven decision making that deliver tangible economic benefits and risk management solutions for industry partners. Her recent publications demonstrate continued leadership in AI research, with a focus on addressing challenges in non-stationary environments, out-of-distribution detection, cross-domain recommendation, and healthcare applications. Her work increasingly integrates large language models with specialized domain knowledge for enhanced decision support. Officer of the Order of Australia (2022) 2023 NSW Premier's Prize for Excellence in Engineering or Information & Communication Technology Australian Laureate Fellow (2019) IEEE Fellow for contributions to fuzzy machine learning and decision making (2018) Fellow of International Fuzzy Systems Association (2017) Australia's Most Innovative Engineer Award (2019) Multiple IEEE Transactions Outstanding Paper awards Professor Lu has supervised over 50 PhD students to completion, with half pursuing academic careers and half working in industry. She has secured over A$10 million in research funding as lead Chief Investigator, including 10 highly competitive ARC Discovery Projects. Her industry collaborations include significant projects with Optus, Sydney Trains, Domain Holdings, and healthcare organizations. As Director of the Australian AI Institute, Professor Lu leads Australia's largest AI research hub with over 250 researchers and PhD students. Under her leadership, AAII has secured 47 ARC grants and over 110 industry projects since 2017. She also serves as Editor-in-Chief of Knowledge-Based Systems, a leading journal in the field.

• Healthcare Economics
• Cardiology
• Epidemiology
• +۳ مورد دیگر

Miika Linna is a Visiting Professor in the Department of Industrial Engineering and Management at the University of Eastern Finland. With expertise in healthcare economics, cardiology, and epidemiology, his research focuses on optimizing healthcare systems and understanding disease management strategies, particularly in atrial fibrillation, multimorbidity, and stroke care. He has led two major projects funded by the Academy of Finland, aiming to improve social welfare and healthcare reform through data-driven solutions. His work addresses cost-effectiveness, treatment outcomes, and geographic disparities in healthcare access. Education: Doctoral degree in Engineering and Technology, Helsinki University of Technology (1999) Master's degree in Engineering and Technology, Helsinki University of Technology (1991) Research Interests: Healthcare cost analysis and efficiency Clinical epidemiology of cardiovascular diseases Policy implications of healthcare delivery models Population health monitoring Recent publications highlight trends in anticoagulant therapy, rural-urban healthcare disparities, and cost-effectiveness of mobile healthcare solutions. His work has been cited in over 50 peer-reviewed articles and featured in media coverage discussing atrial fibrillation management and pandemic vaccine impacts. Grants and Projects: Impro II (2021–2023): Enhanced data infrastructure for healthcare reform Impro (2018–2021): Optimizing service solutions in social welfare systems Labs/Teams: Collaborates with multidisciplinary teams in cardiology, epidemiology, and health policy research, leveraging national healthcare registries for large-scale analyses.

Uri Tzvi Edenمشاهده پروفایل

استاد

• Neural Data Analysis
• Statistical Modeling
• Point Process Theory
• +۵ مورد دیگر

Uri Tzvi Eden is a Professor and Associate Chair of the Department of Mathematics and Statistics at Boston University's College of Arts and Sciences. He is a member of the Probability and Statistics research group, where he focuses on developing mathematical and statistical methods to analyze neural spiking activity. His work integrates model identification, statistical inference, signal processing, and stochastic estimation with point process observation models specifically tailored for neural systems. Professor Eden's research spans two main categories: methodological development of statistical frameworks for relating neural activity to biological and behavioral signals, and practical applications of these methods to real neural systems. His work enables dynamic modeling of individual neuron spiking properties, characterization of neural ensemble representations, and real-time signal reconstruction. His research interests center on neural data analysis, statistical modeling of point processes, machine learning applications in neuroscience, signal processing techniques for neural recordings, and mathematical neuroscience. Eden has made significant contributions to developing estimation algorithms, goodness-of-fit analyses, and mathematical theory applicable to neural spiking systems. Professor Eden's publication record shows a consistent focus on neural data analysis with recent work expanding into sleep spindle dynamics, epilepsy research, Parkinson's disease applications, and advanced machine learning approaches for neural decoding. His research demonstrates a trajectory from foundational methodological work toward increasingly sophisticated applications in clinical neuroscience. Professor Eden earned his Ph.D. in Medical Engineering/Medical Physics from Harvard/MIT Division of Health Sciences and Technology in 2005 with a thesis on point process filters in neural spiking model analysis. He has co-authored the textbook 'Analysis of Neural Data' published by Springer in 2014.

Adar Pelahمشاهده پروفایل

استاد

• Biomedical Engineering
• Medical Diagnostics
• Human Vision & Locomotion
• +۵ مورد دیگر

Dr. Adar Pelah is a Professor in Electronic Engineering at the University of York. He holds the Royal Academy of Engineering Enterprise Fellow title. His research focuses on biomedical engineering, medical diagnostics, and rehabilitation technology, with a particular emphasis on human vision, locomotion, virtual reality, and 3D display systems. Pelah leads the Laboratory for Investigative Virtual Environments (LIVE) within the Intelligent Systems Research Group. His work includes developing AI-driven platforms for movement analysis, stroke rehabilitation, and applications in Long COVID. Key research areas include musculoskeletal modeling, microwave imaging for medical applications, and the coupling of vision with locomotion in neurological conditions. Pelah has supervised numerous PhD, MSc, MEng, and BEng students, contributing to advancements in assistive devices and medical diagnostics. His scientific contributions span over 40 peer-reviewed publications and two patents. Notable achievements include a Medical Research Council (MRC) grant (2018–2020) for clinical movement markers in osteoarthritis treatment. Pelah’s interdisciplinary work bridges engineering, neuroscience, and clinical practice, addressing challenges in healthcare through innovative technologies.

• Autistic intervention
• Multi-modal sensing
• Medical devices and systems
• +۴ مورد دیگر

Honghai Liu is a Professor at the University of Portsmouth, UK, with a career spanning over two decades in interdisciplinary research at the intersection of physics, physiology, and biomedical engineering. His affiliations include prestigious institutions like the University of Aberdeen and King’s College London, and he is a member of the Institute of Electrical and Electronics Engineers (IEEE) and Institution of Engineering and Technology (IET). Research Interests: His work focuses on Autistic intervention Multi-modal sensing Medical devices and systems Human motion analytics Machine learning Intelligent robotics and control Stroke rehabilitation Recent publications highlight applications of biomedical engineering in stroke recovery analysis, autism screening protocols, and wearable sensor technology for muscle-computer interfaces. Scientific Awards: Fellow of IEEE (2020) Fellow of IET (2011) His research spans neuroscience, robotics, and control systems, with notable contributions to fatigue-sensitivity analysis and adaptive vehicle suspension technologies.