Find Academic Supervisors

Associate Professor Arnold Lining Ju is a biomedical engineer at the University of Sydney's School of Biomedical Engineering, affiliated with multiple institutes including the Heart Research Institute and Sydney Nano Institute. He holds academic positions in both the Faculty of Engineering and Faculty of Medicine & Health. Education: BSc from Peking University, PhD from Georgia Tech and Emory University (USA). Honors include Snow Fellowship, Heart Foundation Future Leader Fellowship, and multiple awards for cardiovascular research innovation. Research focuses on mechanobiology and biomechanics of thrombosis, developing microfluidic devices and organ-on-chip systems. Key projects include AI-driven single-cell nanotools, 3D biofabrication, and anti-thrombotic peptide design. Leads interdisciplinary teams and collaborates internationally with institutions like Harvard and University of Texas. Teaching roles include coordinating advanced cellular biomechanics courses and supervising PhD/Masters students in biomedical engineering and physiology. Over 50 peer-reviewed publications, with contributions to Nature Materials, Nature Communications, and other top journals.

• Mechanobiology
• Biomechanics
• Organ-on-chip
• +5 more

Jørgen Arendt Jensen is a Professor of Biomedical Signal Processing at the Technical University of Denmark (DTU), with dual affiliations in the Department of Health Technology and the Department of Electrical Engineering (DTU Elektro). He leads the Center for Fast Ultrasound Imaging (CFU), a collaborative initiative involving DTU, BK Medical, Rigshospitalet, and DTU Nanotech. His research focuses on advanced medical ultrasound technologies, including synthetic aperture imaging, vector flow imaging, and ultrasound simulation, aiming to improve clinical image acquisition efficiency and accuracy. He teaches medical imaging courses and co-initiated the joint biomedical engineering program between DTU and the University of Copenhagen. Jensen’s work contributes to UN Sustainable Development Goals related to health and innovation. His research interests span algorithm development for fast ultrasound imaging, blood velocity characterization, and simulation of ultrasound systems. He supervises multiple PhD students and collaborates on projects involving transducer design, real-time imaging systems, and microvascular pathology analysis. Recent publications emphasize advancements in super-resolution ultrasound imaging, transducer optimization, and pressure gradient estimation. His lab, CFU, develops cutting-edge imaging solutions for clinical applications. Jensen’s contributions include patents on ultrasound imaging techniques and collaborative ventures to enhance diagnostic capabilities through interdisciplinary engineering.

• Medical Ultrasound
• Biomedical Signal Processing
• Digital Signal Processing
• +4 more

Adam de la Zerda is an Associate Professor at Stanford University's Department of Structural Biology (School of Medicine) and Electrical Engineering (by courtesy). He develops advanced optical molecular imaging technologies combining nanoparticle contrast agents and adaptive OCT systems for cancer and ophthalmic disease research. Technion-Israel Institute of Technology (BSc, 2005) Stanford University (PhD, 2011) UC Berkeley (Postdoctoral Fellowship) Research Themes : Virtual biopsy using machine learning-enhanced OCT Gold nanorod-based molecular contrast agents Speckle noise reduction for cellular resolution Needle beam optical coherence tomography angiography His 15 most recent publications demonstrate technical innovations in: Metasurface optics for extended depth-of-field Spectral deconvolution of multiple contrast agents Speckle modulation for improved diagnostic clarity Noninvasive lymphatic system mapping Scientific Honors : Pew-Stewart Scholar for Cancer Research AFOSR Young Investigator NIH Early Independence Award Forbes 30 Under 30 (x2) Chan Zuckerberg BioHub Investigator His lab team has developed clinical prototypes including OcuBell Inc. 's ophthalmic imaging systems and Visby Medical 's diagnostic platforms. Current research spans from in vivo glycoprotein imaging to de novo biosensor development for real-time disease monitoring in awake animal models.

• Molecular Imaging
• Biomedical Imaging
• Optical Coherence Tomography
• +3 more

Jean Provost is a Full Professor in the Department of Engineering Physics at Polytechnique Montréal , with affiliations to the Montreal Heart Institute , IVADO , and the Institute of Biomedical Engineering . His research focuses on ultrasound imaging , cardiac and cerebral vascular imaging , and superresolution image reconstruction using machine learning and optimization . Based on 96 publications, his work emphasizes ultrasound localization microscopy , neural network applications , and microvascular hemodynamics . Education : Ph.D. (Columbia University), MPhil (Columbia University), M.Sc.A. (École Polytechnique Montréal), Engineering Degree (École Centrale Paris), License (Université Paris XI), B.Eng. (École Polytechnique Montréal) Research trends from 15 recent articles include: 3D and dynamic ultrasound localization microscopy for microvascular mapping Deep learning for image reconstruction and neural network pruning Machine learning-driven aberration correction and superresolution imaging Acoustoelectric and cavitation-based imaging techniques Applications in cardiac diagnostics and dementia detection Supervision includes 2 Ph.D. and 8 Master's theses completed at Polytechnique Montréal (2023), covering topics like optical ultrasound detection , microbubble modulation , and spatiotemporal sampling .

• Biomedical Engineering
• Biomedical Technology
• Digital Signal Processing
• +5 more

Gianmarco Pinton is an Associate Professor in the Department of Biomedical Engineering at the University of North Carolina at Chapel Hill. His research focuses on nonlinear ultrasound and mechanical wave propagation, with applications to medical imaging and therapy. He specializes in traumatic brain injury, shear shock waves, and ultrasound therapy. Ph.D., M.S., and B.S.E. in Biomedical Engineering/Physics from Duke University His lab develops physics and simulation tools for nonlinear wave propagation, aiming to create advanced diagnostic ultrasound methods. Key areas include traumatic brain injury, transcranial imaging, and therapeutic ultrasound. His recent work explores super-resolution imaging, brain motor circuits, and Alzheimer's disease vascular mapping using ultrasound. Article trends highlight innovations in transcranial ultrasound, super-resolution techniques, lung imaging, and neuromodulation. His publications address image degradation, contrast agents, and shear wave dynamics in neurological contexts.

• Biomedical Imaging
• Ultrasound Imaging
• Traumatic Brain Injury
• +4 more

Donald T. Miller is a Professor at Indiana University School of Optometry, where he teaches optics to professional and graduate students while leading cutting-edge research in high-resolution retinal imaging. He serves as Graduate Faculty with endorsement to chair PhD committees and maintains an active laboratory developing adaptive optics and optical coherence tomography systems. His educational background includes: Ph.D. in Optics, University of Rochester (1996) B.S. in Applied Physics, Xavier University (1988) Dr. Miller's research pioneers "living histology" – observing cellular processes in the living retina through advanced optical imaging. His work focuses on developing instruments that capture structural and physiological changes at the cellular level, enabling early detection of retinal pathologies. Key innovations include adaptive optics correction for ocular aberrations and MEMS-based OCT systems, with applications targeting age-related macular degeneration, glaucoma, and diabetic retinopathy. His recent publications (2020-2024) demonstrate an evolution from instrument development toward clinical translation, emphasizing ultrafast imaging techniques and cellular-level analysis of retinal diseases. The research consistently bridges optical engineering, neuroscience, and ophthalmology to achieve unprecedented in vivo visualization. Scientific recognition includes: 2024 Rank Prize in Optoelectronics for adaptive optics retinal imaging R&D 100 Award for MEMS-based OCT development Trustees’ Teaching Award (twice) Fellow of the Optical Society of America As a mentor, Dr. Miller chairs PhD committees and leads the Miller Lab – a hub for optical innovation with strong NIH R01 funding. His lab collaborates with the Center for Adaptive Optics and NIH Bioengineering Research Partnerships, translating fundamental optics research into clinical applications. Current work focuses on ultrafast adaptive optics for real-time cellular imaging and glaucoma diagnostics. The Miller Lab operates within Indiana University's vibrant vision research ecosystem, developing instruments that reveal cellular details across full retinal thickness. Their current projects include characterizing retinal ganglion cells in glaucoma and advancing adaptive optics for earlier blindness prevention.

• Adaptive Optics
• Optical Coherence Tomography
• Retinal Imaging
• +3 more

Dr. Zichun Zhong is an Associate Professor and Graduate Program Director in the Department of Computer Science at Wayne State University's James and Patricia Anderson College of Engineering. He earned his Ph.D. from the University of Texas at Dallas and completed postdoctoral training at UT Southwestern Medical Center. His research focuses on geometric modeling, computer graphics, medical image processing, and visualization technologies. Research encompasses: Geometric modeling of surfaces and volumes 3D computer vision and reconstruction Medical image segmentation and visualization Virtual/augmented reality applications GPU-accelerated algorithms Awards and honors include NSF CAREER and CRII awards, Faculty Research Excellence Award, and Excellence in Teaching recognition. He serves as Technical Paper Chair for Shape Modeling International conferences and associate editor for multiple journals. Current doctoral advisees: Shiman Zhou, Hongbo Li, Haikuan Zhu, and Sikai Zhong. Notable alumni include researchers at Samsung NEON, Skoltech, and General Motors.

• Geometric Modeling
• Computer Graphics
• 3D Computer Vision
• +5 more

Karim Oweiss is a Pre-eminent Professor at the University of Florida, with joint appointments in the Department of Biomedical Engineering (Herbert Wertheim College of Engineering), Electrical and Computer Engineering, and Neuroscience (McKnight Brain Institute). He holds a Ph.D. in Electrical Engineering and Computer Science from the University of Michigan (2002). His research focuses on neural mechanisms of sensorimotor integration and the development of clinically viable brain-machine interfaces (BMIs) to restore damaged neurological function. His work spans computational neuroscience, neural decoding, optogenetics, and advanced neurotechnology, with a strong emphasis on closed-loop systems and neural plasticity. 2025 : Chemogenetic stimulation of phrenic motor output and diaphragm activity 2024 : Chemogenetic phrenic motoneuron activation enables increased tidal volume 2023 : Compressive sensing of functional connectivity maps from patterned optogenetic stimulation Oweiss has received the NSF Excellence in Neural Engineering Award (2001) and is a Senior Member of the IEEE. He has published extensively on topics including neural decoding, compressive sensing, and multiscale neural interfacing. As editor of Statistical Signal Processing for Neuroscience and Neurotechnology (2010), he has contributed significantly to the field's methodological foundations. His lab develops tools like NeuroQuest for large-scale neural data analysis and implantable neuroprocessors for wireless BMI applications.

• Neuroscience
• Biomedical Engineering
• Electrical Engineering
• +5 more

Jakob Körbelin is a Principal Investigator at the University Medical Center Hamburg-Eppendorf (UKE), affiliated with the Faculty of Medicine and the II. Medical Clinic and Polyclinic. His research focuses on vascular biology, gene therapy, and neurological disorders, particularly targeting the blood-brain barrier using adeno-associated viral (AAV) vectors. He leads studies on pulmonary hypertension, neurovascular interactions, and genetic diseases like Niemann-Pick type C2. His work bridges basic science and translational medicine, emphasizing AAV engineering and therapeutic applications. Key research interests include endothelial cell biology, neuroinflammation, and the pathophysiology of vascular diseases. Notably, he received the UCCH Hubertus Wald Young Investigator Award 2013 for his contributions. His lab explores mechanisms of vascular dysfunction, gene delivery optimization, and the impact of viral vectors in treating rare diseases. Collaborations span molecular neurobiology, immunology, and translational oncology. Publications highlight breakthroughs in AAV-mediated therapies, such as reversing neurodegeneration in NPC2 models and identifying novel targets for pulmonary hypertension. Ongoing projects address microvascular brain pathology in SARS-CoV-2 infection and the role of transcription factors in vascular diseases.

• Gene Therapy
• Vascular Biology
• Neurology
• +3 more

Frédéric Calon is a Full Professor in the Faculty of Pharmacy at Université Laval, where he leads a prominent research program focused on neurodegenerative disorders, particularly Alzheimer’s and Parkinson’s diseases. His work bridges molecular neuroscience, nutritional interventions, and blood-brain barrier drug delivery, using both animal models and human post-mortem studies. He is actively involved in training graduate students and postdoctoral fellows and maintains international collaborations, including the LIA OptiNutriBrain with Bordeaux. B.Sc. in Biochemistry, Université Laval (1989–1992) M.Sc. in Pharmacy, Université Laval (1992–1995) B.Pharm., Université Laval (1994–1998) Ph.D. in Pharmacy, Université Laval (1998–2001) Postdoctoral Training, University of California, Los Angeles (UCLA), Dept. of Medicine (2001–2003) Dr. Calon’s research centers on three main axes: (1) the role of nutrition—especially omega-3 fatty acids—in neurodegeneration; (2) synaptic and molecular pathology in Alzheimer’s and Parkinson’s diseases; and (3) the interplay between peripheral metabolic disorders and brain health, including insulin signaling and thermoregulation. He also investigates the blood-brain barrier as a therapeutic gateway for drug delivery. His recent publications reflect a strong focus on Alzheimer’s disease mechanisms, including tau phosphorylation, amyloid-beta pathology, synaptic dysfunction, and the impact of diet and metabolism. He has also made key contributions to understanding essential tremor through post-mortem brain studies. His work frequently involves transgenic mouse models, such as the 3xTg-AD, and integrates behavioral, biochemical, and imaging techniques. Dr. Calon’s research is supported by major grants from CIHR and the Alzheimer Society of Canada. He mentors a large team of doctoral, master’s, and postdoctoral researchers, many of whom are supported by competitive scholarships. His lab has developed unique expertise in in situ brain perfusion and quantitative BBB transport analysis. He leads studies on novel therapeutic strategies, including repurposing beta-3 adrenergic agonists, optimizing nutraceutical formulations, and enhancing brain delivery of biologics via transferrin receptor-targeted vectors. His work on essential tremor has identified GABA receptor deficits and amyloid-beta accumulation in the cerebellum, suggesting a neurodegenerative basis for the disorder.

• Neurodegenerative Diseases
• Alzheimer's Disease
• Parkinson's Disease
• +12 more

John G Georgiadis is the Interim Chair and R. A. Pritzker Professor of Biomedical Engineering at Illinois Institute of Technology's Armour College of Engineering. He holds affiliations with the Illinois Tech Digital Medical Engineering and Technology (IDMET) Research and Education Center. His academic journey includes a Ph.D. (1987) and M.S. (1984) in Mechanical Engineering from UCLA, and a Diploma in Mechanical Engineering from the National Technical University of Athens (1983). Georgiadis’ research focuses on aging-related changes in the brain and skeletal muscle, leveraging MRI and computational models. Key projects include intramyocellular biotransport, cerebral microvasculature imaging, and multiscale brain mechanics. He has pioneered advancements in magnetic resonance elastography (MRE) for non-invasive tissue stiffness measurement, contributing to clinical applications in neurology and cardiology. His awards include the NSF Presidential Young Investigator Award (1991–1997) and Fellow status in the American Institute for Medical and Biological Engineering. Georgiadis has authored over 150 peer-reviewed publications and holds multiple patents in medical device technology and imaging techniques. His work bridges biomechanical engineering, computational imaging, and clinical diagnostics, with implications for aging populations and chronic disease management. Professional memberships include the Biomedical Engineering Society, IEEE, and AIMBE. His labs focus on translational research, integrating advanced imaging modalities with biomechanical principles to address complex biomedical challenges.

• Biomedical Engineering
• Magnetic Resonance Imaging (MRI)
• Biomechanics
• +3 more

Philbert Tsai is an Associate Teaching Professor in the Department of Physics at the University of California, San Diego (UCSD). He has held roles as QBio Lab Coordinator/Project Scientist (2015–Present) and Associate Project Scientist (2011–2015), overseeing advanced laboratory setups and bio-imaging research projects. His work focuses on neurovascular systems, microscopy techniques, and cortical blood flow dynamics. Education: Ph.D., Physics, UC San Diego, 2004 Research Interests: Quantitative analysis of cortical microvascular networks Development of ultra-high-resolution imaging systems (e.g., STED, two-photon microscopy) Neurovascular coupling mechanisms and their impact on brain oxygen supply Biomedical engineering applications in neuroscience research Lab & Projects: QBio Lab: Advanced instrumentation including confocal microscopes, 3D printers, and wet-lab equipment Developed vectorized models of mouse brain vasculature and ultra-wide-field multiphoton imaging systems Grants & Awards: No specific awards listed in provided text Collaborations: Worked extensively with colleagues like Dr. David Kleinfeld and Dr. Berislav Zlokovic on neurovascular projects.

• Quantitative Biology
• Neurovascular Imaging
• Biomedical Engineering
• +3 more

Erin Buckley is an Associate Professor at the Coulter Department of Biomedical Engineering within the College of Engineering at Georgia Institute of Technology. Her lab focuses on advancing non-invasive diffuse optical techniques for bedside monitoring of hemodynamics in the brain and other tissues. Research Interests : Biomedical Engineering, Biomedical Optics, Cerebral Hemodynamics, Non-invasive Monitoring, Medical Imaging Recent Publications : A 2023 study in Biomedical Optics Express established the feasibility of Broadband Absorption Spectroscopy (BAS) for cerebral water content measurement. Scientific Awards : ATLANTIS Program Postdoctoral Fellowship (NIH-funded) American Heart Association (AHA) Predoctoral Fellowship Students : Tara Urner (postdoctoral fellow), Vidisha Goyal (AHA fellow), and Rowan Brothers (PhD graduate) have contributed to research on diffuse optical spectroscopies and cerebral health biomarkers.

• Biomedical Engineering
• Biomedical Optics
• Cerebral Hemodynamics
• +2 more

Andrew Putnam is the Robert C. Leland, Jr. and Donna D. Leland Professor of Biomedical Engineering and Cardiovascular Medicine at the University of Michigan. He leads the Putnam Lab, which focuses on cell and tissue engineering, particularly in regenerative medicine and ECM mechanics. His research investigates how extracellular matrix properties influence cell behavior and vascular development. Education: B.S. from UCLA (1994), M.S.E. and Ph.D. from University of Michigan (1996, 2001). Postdoctoral fellowship at Van Andel Institute (2001–2002). Academic roles include Associate Professor at UC Irvine (2003–2009), Associate Professor and later Full Professor at UM (2009–present). He has held leadership roles in graduate education and training programs. Research Interests: Biomaterials, biomechanics, vascularization, ECM mechanics, tissue engineering, and mechanobiology. The lab explores instructive materials for regenerative medicine and vascular network formation, leveraging PEG hydrogels and ECM-inspired designs. Articles focus on biomaterial-driven vascular assembly, ECM stiffness effects, and mechanistic insights into cell-material interactions. Recent work addresses prevascularized modules and chimeric vasculature engineering. Funding sources include federal agencies, private foundations, and philanthropy. Advising: Supervises PhD and MS students in Biomedical Engineering, including Atticus McCoy and Irene Zhang. Research specialists and undergraduates also contribute to lab projects. Alumni have pursued roles in academia and industry. Labs/Teams: Putnam Lab at the Lurie Biomedical Engineering Building, collaborating with institutions like Van Andel Institute and University of Michigan Medical Center. Projects involve vascularization, ECM dynamics, and cardiac reprogramming.

• Biomaterials
• Biomechanics
• Cardiovascular Engineering
• +7 more

Michalis Xenos is a Professor in the Department of Mathematics at the University of Ioannina, Greece. He holds a PhD in Applied Mathematics (2003) from the University of Patras and has held postdoctoral positions at the University of Illinois at Chicago (2003-2007) and Stony Brook University (2007-2011). His research spans Applied Mathematics, Fluid Mechanics, and Biomechanics, with a focus on Magnetohydrodynamics (MHD), Computational Fluid Dynamics (CFD), and Fluid-Structure Interaction (FSI) in cardiovascular systems. Education : BSc (1996), MSc (1998), PhD (2003) in Applied Mathematics, University of Patras. Affiliations : University of Ioannina (2011-present), Stony Brook University (postdoctoral, 2007-2011), University of Illinois at Chicago (postdoctoral, 2003-2007). His work involves modeling blood flow in aneurysms, optimizing mechanical heart valves, and analyzing hemodynamic factors in vascular diseases. Collaborators include Prof. A.A. Linninger (UIC), Prof. D. Bluestein (SUNY), and Prof. U. Morbiducci (Politecnico di Torino). His publications address MHD flows, AAA rupture risk prediction, thrombogenicity in devices, and nonlinear differential equations.

• Applied Mathematics
• Fluid Mechanics
• Computational Fluid Dynamics
• +4 more