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E. Duco JansenView profile

Professor

• Laser-tissue interaction
• Optical neural interfaces
• Modulation of neural activity
• +3 more

E. Duco Jansen is a Professor in the Department of Biomedical Engineering and affiliated with the Department of Neurological Surgery at Vanderbilt University’s School of Engineering. His research focuses on laser-tissue interaction, optical neural interfaces, and applications of light-based technologies in medicine. He holds a Ph.D. and M.S. in Biomedical Engineering from the University of Texas, and an M.S. in Medical Biology from Utrecht University. Research Interests: Dr. Jansen investigates modulation of neural activity using infrared light, cellular effects of laser stimuli, and biomedical imaging advancements. His work bridges engineering and medicine, with contributions to photodynamic therapy dosimetry, neural stimulation mechanisms, and tissue phantom development. Key Contributions: He co-leads the Vanderbilt Biophotonics Center, fostering interdisciplinary research in clinical photonics, neurophotonics, and multiscale photonics. His recent work includes developing optical systems for nerve monitoring, understanding calcium signaling in neurons, and creating epoxy resin tissue phantoms for imaging calibration. Grants & Labs: As part of the Biophotonics Center’s Scientific Advisory Committee, he collaborates across Engineering, Medicine, and Arts & Science schools. His lab focuses on translating optical technologies into clinical solutions, such as reversible nerve blocks and non-invasive neural interfaces. Labs/Teams: Active in the Biomedical Photonics Center, contributing to educational programs for students and clinicians in photonics applications. His research group develops novel optical tools for neurosurgery and biomedicine.

Derk-Jan DijkView profile

Professor

• Sleep Medicine
• Circadian Rhythms
• Dementia
• +3 more

Dr. Derk-Jan Dijk is a distinguished Professor of Sleep and Physiology and Director of the Surrey Sleep Research Centre at the University of Surrey. His academic career spans over 40 years, focusing on sleep physiology, circadian rhythms, and their implications for health, particularly in dementia and aging. He holds appointments in the School of Biosciences under the Faculty of Health and Medical Sciences. Dr. Dijk’s research integrates clinical studies, neurophysiological measurements, and mathematical modeling to understand sleep regulation and its disruptions. Research Interests: His work explores the interplay between sleep and circadian rhythms, biomarkers of sleep disruption vulnerability, and the impact of sleep disorders in dementia. He also develops technologies for non-invasive sleep monitoring. Key areas include circadian misalignment’s effects on cognition, novel biomarker identification, and translational applications of sleep science. Key Contributions: Dr. Dijk has published over 300 peer-reviewed papers and reviews, contributing to journals like Science and Proceedings of the National Academy of Sciences . His studies on shift work’s cognitive impacts, spaceflight physiology, and REM sleep modulation via closed-loop stimulation have advanced sleep medicine. He has served as editor of SLEEP and Journal of Sleep Research , and advises pharmaceutical and tech industries. Awards & Recognition: He is a Fellow of the Royal Society of Biology and the Academy of Medical Sciences. Honors include the Royal Society-Wolfson Research Merit Award and the Distinguished Scientist Award from the Sleep Research Society. Grants & Partnerships: Funded by agencies like BBSRC, AFOSR (USA), and the UK Dementia Research Institute. Collaborations include Imperial College London and the Care Research & Technology Centre. His work emphasizes clinical translation, such as validating wearable devices (e.g., Dreem headband) for sleep assessment in dementia care. Future Directions: Ongoing projects focus on circadian and sleep biomarkers in neurodegenerative diseases, longitudinal home-based sleep monitoring, and climate change’s neurological impacts. He advocates for personalized sleep interventions using AI and mathematical modeling.

Ciro della MonicaView profile

Research Fellow

• Sleep and Cognitive Function
• Dementia
• Aging
• +4 more

Dr. Ciro della Monica is a Research Fellow at the University of Surrey's School of Biosciences, based within the Surrey Sleep Research Centre. His work focuses on understanding how sleep patterns correlate with cognitive decline in aging populations and individuals with dementia. He explores innovative non-invasive technologies to monitor sleep quality, such as wearable devices and contactless physiological sensors, aiming to identify early biomarkers of neurodegenerative diseases and design targeted interventions. His research has secured £1.7 million in funding to advance sleep care for dementia patients. Key research areas include: 1) Development and validation of sleep-monitoring technologies (e.g., Dreem headbands, radar-based systems), 2) Diurnal variations in biomarkers like p-tau217 and melatonin, and 3) Longitudinal studies tracking sleep-cognition relationships in aging. Recent studies highlight sleep's role in predicting cognitive trajectories and its interplay with circadian rhythms. Publications emphasize technical advancements in sleep staging via EEG/ear-EEG and algorithmic scoring, alongside clinical insights into sleep apnea in dementia populations. His work bridges engineering innovation with clinical needs, advocating for scalable solutions to improve sleep health in aging and demented cohorts.

Filippo MolinariView profile

Professor

• Biomedical Signal Processing
• Medical Imaging
• Ultrasound Technology
• +4 more

Filippo Molinari is a Full Professor at the Politecnico di Torino, affiliated with the Department of Electronics and Telecommunications (DET). His research focuses on biomedical signal processing, medical imaging, and AI-driven diagnostic tools, particularly in neuroimaging, ultrasound technology, and oncology. Key areas include non-invasive vascular quantification, neurovascular assessment, and multi-modal imaging analysis for neurodegenerative disorders. Research areas: Ultrasound imaging, EEG signal decomposition, CT/PET analysis, and radiomics. Leading projects: REAP (photoacoustic tomography for cancer), InSiDe (cardiovascular disease monitoring), and AI-driven stain normalization in pathology. Teaching and thesis supervision at DET@POLITO, with a focus on biomedical engineering and signal processing. Recent work emphasizes AI explainability, uncertainty quantification in medical models, and augmented reality for surgical training. Over 50 publications since 2021, including studies on MRI-based brain disorder detection and deep learning for stroke classification. Ongoing collaborations involve multi-center studies on vascular imaging, digital pathology, and AI ethics in healthcare.

Massimo SalviView profile

Assistant Professor

• Biomedical Engineering
• Medical Imaging
• Artificial Intelligence
• +5 more

Massimo Salvi is an Assistant Professor at the Department of Electronics and Telecommunications of the Politecnico di Torino, Italy. His research focuses on biomedical signal and image processing, artificial intelligence, and deep learning, with a particular emphasis on developing hybrid techniques for complex biomedical problems. He leads projects in fluorescence microscopy analysis, dermatological imaging, and digital pathology. Education: Master’s in Biomedical Engineering (Politecnico di Torino, 2014), PhD in Biomedical Engineering (Politecnico di Torino, 2018). Research areas include synthetic image generation via GANs, AI-driven diagnostics, and stain normalization in histology. Key Projects: REAP (cancer cell analysis), DIPAT3-Care (digital pathology pathways), and automated solutions for microscopy imaging. Teaching activities include courses at DET@POLITO. Research Contributions: Over 150 publications in AI-driven medical imaging, including work on uncertainty quantification, augmented reality in surgery, and histological image synthesis. His work bridges clinical needs with computational innovations. Awards: No awards explicitly listed for Salvi in the provided text.

Arjun G. YodhView profile

Professor

• Condensed Matter Physics
• Biophysics
• Medical Physics
• +3 more

Arjun G. Yodh is the James M. Skinner Professor of Science and Chair of the Department of Physics and Astronomy at the University of Pennsylvania. He holds a secondary appointment in the Department of Radiation Oncology at the Perelman School of Medicine and is affiliated with interdisciplinary institutes including the Laboratory for Research on the Structure of Matter (LRSM), the Center for Soft and Living Matter, and the Center for Advanced Metabolic Imaging and Precision Medicine (CAMIPM). His research spans condensed matter physics, biophysics, medical physics, and optical sciences, with a focus on soft materials, biomedical optics, and light-scattering techniques. Yodh earned a B.Sc. in Applied & Engineering Physics from Cornell University (1981) and a Ph.D. in Physics from Harvard University (1986). He joined Penn in 1988 and has since mentored over 100 PhD students and postdocs. His leadership roles include Director of LRSM/MRSEC (2009–2020) and Co-Director of the PREM program with the University of Puerto Rico. He pioneered non-invasive optical methods for cerebral blood flow monitoring and received the 2021 Feld Award in Biophotonics. His research interests include colloidal systems, liquid crystals, biophotonics, and translational applications in medical diagnostics. Recent work focuses on diffuse optical monitoring for stroke diagnosis, brain injury assessment, and photodynamic therapy. His educational contributions include STEM outreach programs targeting K-16 students and teachers. Education: Harvard University (PhD, 1986), Cornell University (B.Sc., 1981) Key Roles: LRSM Director (2009-2020), Department Chair (2022–present) Affiliations: Departments of Bioengineering, Materials Science & Engineering (SEAS) Grants & Awards: NSF-MRSEC, PREM, Provost Award for Mentoring His lab develops optical tools for cerebral hemodynamics, placental oxygenation, and cancer therapy monitoring, with clinical translation as a core focus.

Kevin ChenView profile

Professor

• Medical Imaging
• Neuroscience
• Biomedical Engineering
• +3 more

Kevin Chen is a Professor in the Department of Physics & Astronomy at the University of Pittsburgh, with a secondary appointment. His research focuses on advanced neuroimaging techniques, including MRI-based methodologies applied to neurological disorders, cancer, and tissue regeneration. He is affiliated with the Dietrich School and collaborates with the Pittsburgh Institute of Brain Disorders and Recovery. Research Interests Dr. Chen specializes in developing cutting-edge imaging technologies such as fluorine-19 MRI, diffusion MRI, and molecular probes for studying brain connectivity, tumor biology, and neurodegenerative diseases. His work bridges physics, engineering, and medicine, with a focus on translational applications in oncology, neurology, and urology. Key Research Themes Non-invasive imaging of immune cell infiltration in stroke and cancer Mesoscale brain connectivity mapping in human and marmoset models Novel contrast agents for bladder and spinal imaging Theranostic strategies combining imaging and targeted therapy Recent Work Trends Publications from 2023–2025 emphasize MRI innovations for studying Alzheimer’s disease, sickle cell neurocognitive impairment, and vascular dementia. His team also explores spinal cord stimulation for neurological rehabilitation and imaging-based assessment of healthy aging trajectories in non-human primates. Labs & Collaborations Active collaborations include the Alzheimer’s Imaging Consortium and the Pittsburgh Institute of Brain Disorders. His lab develops open-source resources for neuroscientific research and translational imaging tools.

Janelle JonesView profile

Senior Lecturer

• Social Psychology
• Mental Health
• Aging and Gerontology
• +5 more

Dr. Janelle Jones is a Senior Lecturer in Social Psychology and Director of Graduate Studies at Queen Mary University of London's School of Biological and Behavioural Sciences. Her research focuses on social connections, identity, health, and well-being, with a particular emphasis on older adults, mental health, and technology applications in healthcare. She collaborates across disciplines, including Engineering and Law, to address challenges like dementia detection, falls prevention, and gambling harm reduction. Her work explores how identity influences mental health outcomes (e.g., schizophrenia, depression) and evaluates interventions like community-based arts programs for older adults. She also investigates the role of technology in healthcare, such as wearable devices and millimetre-wave radar systems for monitoring aging populations. Recent projects include examining banks' roles in mitigating gambling-related financial harm. Dr. Jones has secured grants totaling over £700,000, including funding from the EPSRC, AHRC, and GambleAware. She supervises PhD students and postdoctoral researchers, fostering interdisciplinary research teams. Her contributions span academic publications, policy reports, and public engagement initiatives, reflecting a commitment to translating research into societal impact. Her affiliations include the Centre for Brain and Behaviour, where she collaborates on brain-behavior interactions. She also leads initiatives like the 'Staying Connected' arts program and the 'Posh Club' for residential care residents, demonstrating her dedication to improving health outcomes through innovative, community-driven approaches.

Ronald M. AartsView profile

Professor

• Ambulatory Monitoring
• Signal Processing
• Medical Devices
• +9 more

Ronald M. Aarts is a Full Professor (part-time) at Eindhoven University of Technology's Department of Signal Processing Systems, Faculty of Electrical Engineering. He holds affiliations with the Eindhoven MedTech Innovation Center (EMTEC) and EAISI Foundational. His research focuses on ambulatory monitoring, sensor systems, and signal processing for medical applications such as sleep, cardiology, and epilepsy detection. Dr. Aarts has collaborated extensively with Philips Research since 1977, contributing to over 450 publications and 250+ patents. He received his BSc and PhD in Physics from Delft University of Technology. His academic career includes supervising 19 PhD students and co-developing technologies in audio engineering (AES Fellowship 1995), signal processing (IEEE Fellow 2007), and medical device innovation. Awards include the Philips Gold Invention Award (2012) and AES Silver Medal (2010). He advises GrAI Matter Labs and operates Aarts Consultancy, emphasizing the four P’s: People, Patents, Papers, and Products. Research interests span electromagnetism, acoustics, wearable sensors, and unobtrusive monitoring systems. Notable projects include ECG-based seizure detection, preterm infant sleep classification, and non-invasive circulatory volume assessment. His work aligns with UN Sustainable Development Goals in health and innovation. Affiliations: TU/e, Philips Research, EMTEC, EAISI Foundational Education: BSc (Electrical Engineering), PhD (Physics), Delft University of Technology Grants & Industry: Over 250 patents (Philips), Philips Fellow (2003), Philips Gold Invention Award (2012/2018) Labs/Teams: Signal Processing Systems group, collaborations with Radboud University and NXP Semiconductors

Khalid RajabView profile

Lecturer

• Millimeter-Wave Radar
• Sensing for Health and Wellbeing
• IoT Sensors
• +3 more

Dr. Khalid Rajab is a Lecturer in the School of Electronic Engineering and Computer Science at Queen Mary University of London (QMUL). His research focuses on millimeter-wave radar systems, IoT sensors for health monitoring, and machine learning applications in ambient sensing. He holds a PhD and is a Fellow of the Higher Education Academy (FHEA) and a Chartered Engineer (CEng). His research interests include radar-based activity recognition, health and wellbeing sensing, and sensor fusion technologies. He leads projects in wearable-free healthcare monitoring and has contributed to innovations in radar localization and non-invasive health screening. Dr. Rajab has secured a £396,049 grant from EPSRC for developing smart sensors in 'virtual wards' using mm-wave radar. His work spans interdisciplinary collaborations, including with the Centre for Networks, Communications and Systems at QMUL. His publications highlight advancements in radar calibration, multi-target tracking, and metamaterials. He is affiliated with research centers focusing on electronics, networks, and brain-behavior interfaces.

Matthew McGarryView profile

Associate Professor

• Numerical methods
• Inverse problems
• Elastography
• +3 more

Matthew McGarry is an Associate Professor of Engineering at the Thayer School of Engineering, Dartmouth College. His research focuses on numerical methods, inverse problems, elastography, and soft tissue imaging, particularly in medical diagnostics. He holds a BE and ME in Mechanical Engineering from the University of Canterbury (2006, 2008) and a PhD in Biomedical Engineering from Dartmouth (2013). His work emphasizes improving imaging techniques like magnetic resonance elastography (MRE) and ultrasound imaging to diagnose diseases through tissue property analysis. Key projects include analyzing arterial compliance, brain mechanics, and white matter structures. McGarry has published extensively on MRE applications, inverse problem formulations, and viscoelastic models. His research bridges biomedical engineering, medical physics, and neuroscience. No specific grants or awards are listed, but his contributions span over a decade in non-invasive diagnostic innovation. He advises graduate students in imaging sciences and collaborates across disciplines. His lab focuses on advancing mechanical imaging modalities for clinical applications.

Yong ZhuView profile

Professor

• Nanomaterials
• Flexible Electronics
• Wearable Sensors
• +5 more

Yong Zhu is a Professor of Materials Science and Engineering at North Carolina State University, affiliated with the College of Engineering. His research focuses on nanomaterials, flexible electronics, and wearable sensors, with an emphasis on sustainability and biomedical applications. He leads projects on recyclable nanowire networks, biodegradable electronics, and functional textile integration. His work often bridges material science with engineering innovations for healthcare, agriculture, and environmental monitoring. Dr. Zhu maintains an active laboratory and collaborates on multidisciplinary projects, as evidenced by his extensive publication record and industry partnerships. Education: Details not explicitly provided in the text. Research Interests: Dr. Zhu's work explores cutting-edge domains such as: Design of stretchable and recyclable nanowire-based devices Integration of sensors into wearable and textile platforms Development of eco-friendly materials for flexible electronics Advanced ultrasound and bioelectronic sensing systems Mechanical behavior of nanomaterials under diverse conditions His research underscores a commitment to both technological innovation and environmental responsibility. Article Trends: Recent publications highlight advancements in biodegradable electronics, ultrasonic transducers with tunable focusing, and novel sensor designs for real-time health monitoring. He consistently addresses challenges in materials durability, scalability, and sustainability. Emerging themes include wearable systems for plant health and non-invasive medical diagnostics. Awards/Grants: No specific awards are mentioned in the provided text, though his extensive publication record suggests recognition in materials and biomedical engineering circles. Active grants are likely tied to his research projects but details are not provided here. Advising & Labs: While specific advisees are not listed, Dr. Zhu's laboratory focuses on nanomaterials and soft electronics, likely training graduate students in these areas. His work frequently involves collaborations with industry and other academic institutions. Future Work: Priorities include scaling sustainable nanowire technologies, advancing wearable systems for clinical and agricultural applications, and improving the recyclability of electronic components. His lab continues to explore the mechanical and electrical limits of nanomaterials in dynamic environments.

• Neuroimaging
• Medical Imaging Technology
• Brain Physiology
• +4 more

Theodore Huppert is a Research Professor at the University of Pittsburgh, specializing in neuroimaging methodologies. His primary affiliation is with the MRI research center, where he leads the imaging core team for the Human Connectome Project. He holds dual email addresses (huppert1@pitt.edu and huppertt@upmc.edu) and focuses on developing multimodal imaging technologies such as MRI, MEG, EEG, and NIRS. His work emphasizes cross-validation of neuroimaging modalities and clinical applications in Alzheimer’s research, pediatric neuroimaging, and movement disorders. Education: PhD from Harvard University and BSc from the University of Wisconsin-Madison. His lab, based at www.huppertlab.net, pioneers diffuse optical spectroscopy techniques and has developed open-source analysis tools (NIRS-Toolbox) with over 1,600 users. He is a founding board member of the Society for Functional NIRS. Research Interests: Multimodal neuroimaging integration, portable imaging solutions, and clinical applications of NIRS. Key projects include real-time fMRI methods, concurrent NIRS/MEG/EEG/fMRI experiments, and pediatric brain imaging. His work bridges engineering and clinical neuroscience, emphasizing non-invasive brain monitoring. Grants & Collaborations: Principal Investigator for U01-AG051197 (Human Connectome Project) and collaborates globally on NIRS applications in neurology and psychiatry. His recent publications focus on dopamine’s role in gait resilience, amygdala neurofeedback for depression, and NIRS-based connectivity analysis. Labs/Teams: Leads the Huppert Lab at Pitt, emphasizing methodological innovation and translational research in clinical neuroimaging.

Martin J. McKeownView profile

Professor

• Parkinson's Disease Research
• Neurology
• Biomedical Engineering
• +3 more

Dr. Martin J. McKeown is a tenured Professor and Head of the Division of Neurology at the University of British Columbia (UBC), holding an honorary visiting professorship at Nanyang Technological University. He specializes in Parkinson’s disease research, combining neurology with engineering innovations. His work focuses on developing non-invasive treatments and monitoring methods, supported by grants from NIH, CFI, CIHR, and others. Education: Engineering Physics (McMaster University), Medicine (University of Toronto), Neurology (University of Western Ontario). Postdoctoral training at the Salk Institute, prior faculty role at Duke University before joining UBC in 2003. Research interests include Parkinson’s pathophysiology, neuroimaging biomarkers, and translational neurotechnology. His team at the Pacific Parkinson’s Research Centre (PPRC) explores EEG dynamics, wearable sensors, and AI-driven movement analysis. Key contributions include using galvanic vestibular stimulation and functional connectivity studies. Notable awards: Stanford’s Top 2% Scientists (2023), John L. Nichol Chair in Parkinson’s Research. Over 280 peer-reviewed publications. Active on CIHR peer review committees and Parkinson’s Society Canada’s Scientific Advisory Board. Labs/Teams: McKeown Lab, Pacific Parkinson’s Research Centre (PPRC), Djavad Mowafaghian Centre for Brain Health. Current projects involve AI ethics in health monitoring and digital tools for PD symptom tracking.

Mahnaz ArvanehView profile

Senior Lecturer

• Brain-computer interface (BCI)
• Neural signal processing
• Biomedical signal processing
• +5 more

Dr. Mahnaz Arvaneh is a Senior Lecturer in the Department of Automatic Control and Systems Engineering at the University of Sheffield. She holds a PhD in Advanced Brain-Computer Interface from Nanyang Technological University (2013) and has held academic roles at University College Dublin and Trinity College Dublin. Her research focuses on brain-computer interfaces (BCI), neural signal processing, and their applications in healthcare, including stroke rehabilitation and neuroprosthetics. She directs the Physiological Signals and Systems Laboratory and has published over 50 peer-reviewed papers in top journals/conferences. Research interests include biomedical signal processing, machine learning, neuroprosthetics, and clinical BCI applications. Notable achievements include high-impact media coverage (BBC, Sky News), IEEE editorial roles, and co-editing the IET book Signal Processing and Machine Learning for Brain-Machine Interfaces . She has secured grants totaling over £500k, including EPSRC funding for exoskeleton robotics and neurotechnology development. Dr. Arvaneh's work emphasizes translational research, with projects like TeleRegain (BCI-based stroke telerehabilitation) and Neurophysiological Biomarkers for Neurodegenerative Diseases. Her teaching includes modules on biomedical devices, signal processing, and rehabilitation engineering. Current grants focus on neurotechnology inclusivity, mental healthcare applications, and thermal stimulus quantification in dentistry.