جست‌وجوی استاد و پژوهشگر

Ahyeon Kohمشاهده پروفایل

دانشیار

• Biosensors
• Flexible Electronics
• Wearable Technology
• +۳ مورد دیگر

Ahyeon Koh is an Associate Professor in the Department of Biomedical Engineering at Binghamton University. She earned her BS and MS from Sogang University, followed by a PhD from University of North Carolina at Chapel Hill, and completed postdoctoral training at University of Illinois at Urbana-Champaign. Her research focuses on overcoming biocompatibility challenges in biosensors through innovative approaches including therapeutic release systems, flexible/stretchable platforms, and bio-inspired materials. Research interests center on developing biocompatible sensing systems for real-time physiological monitoring. The Koh Lab pioneers wearable biosensors with specific emphasis on breathable epidermal devices, electrochemical detection, and microfluidic sweat analysis. Key innovations include skin-interfaced microfluidic systems for sweat capture/storage, ultrathin injectable sensors for cardiac monitoring, and sustainable electronics from upcycled materials. Her 15 most recent publications (2018-2025) primarily focus on wearable biosensors (73%), microfluidics (13%), sustainable electronics (7%), and wound monitoring (7%). Emerging trends include epidermal electronics, stretchable nanofibers, non-invasive biomarker detection, and mobile health integration. Patented technologies cover epidermal biofluid characterization devices and organ-mounted electronics. Significant contributions include NSF CAREER Award research advancing biosensor design and leadership in Mayo Clinic inflammatory disease projects. Current investigations target flexible bioelectronics, enhanced sweat biomarker analysis, and smart wound care platforms serving clinical, point-of-care, and diagnostic applications.

Laura Treersمشاهده پروفایل

استادیار

• Robotic locomotion in complex terrains
• Physics of granular materials
• Robophysics
• +۴ مورد دیگر

Laura Treers is an Assistant Professor in the Department of Mechanical Engineering at the University of Vermont (UVM), affiliated with the UVM CREATE Center. She holds a PhD from UC Berkeley (2023) and a B.S. from MIT (2018). Prior to UVM, she was a postdoctoral scientist at Georgia Tech in Physics and Biological Sciences. Her research focuses on robotic mobility in complex terrains, combining robotics, physics, and biomechanics. The Interact Lab at UVM explores terramechanics, experimental robotics, and complex terrains, with key interests in granular media modeling, mechanism design, and 'robophysics' principles. Her work bridges robotics, biology, and environmental systems. Her academic awards include the 2023 Outstanding Graduate Student Instructor Award, 2019 National Defense Science Fellowship, and MIT's Thomas Sheridan Prize. She teaches courses like Control Systems (ME 3320A) and Mechatronics (ME 2990). Committed to equity in STEM, she mentors underrepresented students in robotics and science outreach programs. Key research themes include collective behavior in robotic and biological systems, granular material manipulation, and field robotics applications. Her lab's projects emphasize interdisciplinary innovation, leveraging biological insights to enhance robotic performance in unstructured environments.

Junzhong Xuمشاهده پروفایل

دانشیار

• Quantitative MRI Methods
• Neurodegenerative Diseases
• Cancer Imaging
• +۳ مورد دیگر

Junzhong Xu is an Associate Professor of Radiology and Radiological Sciences, Biomedical Engineering, and Physics and Astronomy at Vanderbilt University. His research focuses on developing advanced quantitative MRI methods for applications in neurodegenerative diseases and cancer, including MRI cell size imaging and tumor treatment response assessment. He holds affiliations with the Vanderbilt University Institute of Imaging Science (VUIIS) and has expertise in microstructural diffusion MRI and GPU-accelerated imaging tools. Xu’s work spans interdisciplinary collaborations in biomedical engineering and physics. Education: B.S., University of Science and Technology of China M.S., University of Science and Technology of China Ph.D., Vanderbilt University Research Interests: Development of MRI cell size imaging for cancer and neurodegenerative diseases Quantitative assessment of tumor microstructure and treatment response Applications of microstructural diffusion MRI in multiple sclerosis and oncology Key Contributions: Advancement of MRI cytometry for non-invasive disease assessment GPU-accelerated tools for diffusion MRI simulation (MATI) Imaging biomarkers for early detection of neurodegenerative pathology Labs/Teams: Active member of the Vanderbilt University Institute of Imaging Science (VUIIS), collaborating on interdisciplinary imaging projects.

• Cognitive Neuroscience
• Neuroimaging
• Attentional Control
• +۴ مورد دیگر

Christopher L. Asplund is an Associate Professor at the National University of Singapore (NUS), affiliated with the Department of Biomedical Engineering and Yale-NUS College. He serves as Head of Studies for Psychology at Yale-NUS and holds courtesy appointments in NUS Psychology, Institute for Digital Medicine (WiSDM), Centre for Sleep and Cognition, and Duke-NUS Neuroscience & Behavioural Disorders program. His research explores attentional control, consciousness, and the neural basis of cognition through behavioral experiments, fMRI, and EEG. Research Focus: Understanding attentional states and their modulation by surprise Investigating individual differences in attention, including ASD/ADHD Exploring surprise's role in learning and pain perception Developing digital therapeutics for cognitive training Examining how consciousness and intelligence emerge from neural networks Methodological Expertise: Behavioral experimentation, functional neuroimaging (fMRI, EEG), eye-tracking, and physiological measures.

Jeremy Gummesonمشاهده پروفایل

استادیار مدعو

• Wearable Technology
• Energy Harvesting
• Wireless Communication Systems
• +۷ مورد دیگر

Jeremy Gummeson is an Adjunct Assistant Professor at the University of Massachusetts Amherst, affiliated with the College of Information and Computer Science. He currently works in the Sensors Lab under Deepak Ganesan and the Laboratory for Advanced Systems Software under Prashant Shenoy. His research focuses on energy harvesting for wearables, backscatter communication systems, and distributed wireless sensing technologies. Education: Ph.D. in Computer Systems Engineering from the University of Massachusetts Amherst (2013). Research Interests: Jeremy’s work spans energy-efficient wearable devices, privacy in sensor systems, metamaterial-based mmWave networks, and low-power environmental monitoring. His innovations include intra-body power transfer for health wearables and acoustic-based sensing for vision-impaired environments. Recent projects emphasize sustainable computing and secure authentication mechanisms within smart spaces. Article Trends: His recent publications (2024-2025) highlight advancements in privacy-preserving audio systems, metamaterial networks, and intra-body communication. These reflect a focus on integrating biomedical applications with cutting-edge wireless technologies to enhance both functionality and security. Leading the Way award (Hewlett Packard, 2015) IEEE Outstanding Senior (2006) Betterment of the ECE Department award (2006) Outstanding Teaching Assistant (2006) Advising & Grants: Jeremy has no listed advisees. He has served as a reviewer for ACM MobiSys, ACM UbiComp, ACM CHI, IEEE RFID, and multiple transactions journals. As Web Chair for ACM HotMobile (2016), he contributed to conference organization. His current lab affiliations drive collaborative research in sensor systems and network software. Labs/Teams: Active member of the Sensors Lab and the Laboratory for Advanced Systems Software, working on projects involving energy autonomy, wireless communication, and health monitoring through wearable technologies.

Pedro Estrelaمشاهده پروفایل

استاد

• Biosensors
• Chemical Sensors
• Nanobiosensors
• +۵ مورد دیگر

Pedro Estrela is a Professor in the Department of Electronic & Electrical Engineering at the University of Bath, where he directs the Centre for Bioengineering & Biomedical Technologies (CBio). His research focuses on developing label-free electrical biosensors and chemical sensors for applications in medical diagnostics and environmental monitoring. Key areas include electrochemical impedance spectroscopy, nanobiosensors, microfluidics, and organ-on-chip technologies. Prof. Estrela holds a Doctor of Philosophy in Physics from the University of Amsterdam and a Master of Physics in Condensed Matter Physics from the University of Lisbon. His multidisciplinary work involves collaborations with engineers, chemists, biologists, and clinicians. Recent publications demonstrate strong emphasis on nanotechnology-enabled diagnostic platforms, including SARS-CoV-2 detection systems, sepsis biomarkers quantification, and transdermal microneedle devices. Research trends indicate increasing integration of nanomaterials, CRISPR technology, and additive manufacturing for developing point-of-care diagnostics. The work consistently addresses global health challenges through innovations in rapid testing and environmental surveillance. Prof. Estrela leads multiple collaborative projects in water monitoring and nanomedicine, supported by substantial research grants. His laboratory focuses on translating fundamental discoveries into practical biomedical solutions through industry partnerships.

• Glaucoma
• Ophthalmology
• Medical and surgical management of glaucoma
• +۷ مورد دیگر

Brian J. Song, MD, MPH, FACS is an Assistant Professor of Clinical Ophthalmology at the Keck School of Medicine of the University of Southern California (USC). He serves as the Director of Education and Residency Program Director in the Department of Ophthalmology at USC, as well as the Glaucoma Fellowship Director. Dr. Song is also the telehealth champion and physician quality champion for the USC Roski Eye Institute. Dr. Song specializes in the medical and surgical management of glaucoma, including advanced laser treatments, minimally invasive glaucoma surgery, and cataract surgery. His research interests focus on evaluating new methods to improve glaucoma detection, particularly through telemedicine applications. He is actively working with collaborators to investigate novel approaches for evaluating optic nerve and blood flow abnormalities in glaucoma using advanced ultrasound and vascular imaging techniques. His extensive publication record demonstrates a strong focus on glaucoma diagnostics, imaging technologies, healthcare disparities, and innovative treatment approaches. Recent work has explored AI applications in glaucoma education, ultrasound stimulation of the visual cortex, and teleretinal screening programs for glaucoma detection. Dr. Song has conducted National Institutes of Health-sponsored research evaluating glaucoma detection methods for diabetes patients and has presented his findings nationally and internationally. His scientific contributions include coauthoring the American Glaucoma Society Position Paper on Microinvasive Glaucoma Surgery. Emerging Vision Scientist Award from the National Alliance for Eye and Vision Research Coauthor of American Glaucoma Society Position Paper: Microinvasive Glaucoma Surgery As Director of Education and Residency Program Director, Dr. Song plays a key role in training the next generation of ophthalmologists at USC. His work with telehealth initiatives demonstrates a commitment to expanding access to quality eye care. Dr. Song joined the USC Roski Eye Institute in 2019 after growing up in Houston, TX, and previously working in New Jersey.

• Cardiac Imaging
• Radiology
• Interventional Radiology
• +۳ مورد دیگر

Farhood Saremi, MD is a Professor of Clinical Radiology at the Keck School of Medicine of USC, specializing in cardiothoracic imaging and body imaging. He holds joint appointments in medicine and has served as Chief of the Cardiothoracic Section at the University of California, Irvine (UCI). His academic career spans roles from Assistant Professor at the University of Tehran (1988) to his current position. He completed fellowships in neuroradiology, body imaging, cardiovascular MRI (Duke Medical Center), and cardiovascular CT (UCI). Educations include a medical degree from the University of Tehran, radiology residency at USC, and subspecialty training at UCI and Duke. His research focuses on cardiac CT/MRI, particularly the cardiac conduction system, arrhythmias, and imaging anatomy. He has authored >100 peer-reviewed articles in journals like Radiology , Radiographics , and Circulation , and contributed to seven radiology textbooks as editor or co-author. Research Interests : Cardiac CT/MRI, cardiac conduction system anatomy, arrhythmias, imaging-guided interventions, and perfusion imaging techniques. Publications : Over 100 articles, with recent work on cardiac anatomy, imaging ethics, and diagnostic approaches for cardiac outpouchings. His 2025 articles emphasize anatomical insights from CT angiography. Awards : RSNA Roentgen Resident/Fellow Research Award (2001). Advising/Grants : No listed students, but extensive contributions to radiology education through textbook authorship and research mentorship. Active in translational imaging research funded by institutional grants.

Ronald Aartsمشاهده پروفایل

استاد

• Ambulatory Monitoring
• Signal Processing
• Biomedical Engineering
• +۶ مورد دیگر

Ronald Aarts is a Full Professor (part-time) at Eindhoven University of Technology (TU/e) in the Department of Signal Processing Systems, affiliated with the EAISI institute. His research focuses on ambulatory and unobtrusive monitoring systems, integrating engineering with medicine and biology. He holds dual roles as a part-time professor and a long-term researcher at Philips Research since 1977. His expertise spans electromagnetism, acoustics, signal processing, and sensor technology. Education: BSc and PhD in Electrical Engineering and Physics from Delft University of Technology. Research Interests: Sensors for biomedical applications, sleep and cardiology monitoring, epilepsy detection, and wearable health technologies. Awards: Gilles Holst Award (1999), Philips Gold Invention Award (2012), IEEE Fellowship (2007), AES Silver Medal (2010). He has supervised over 19 PhD students and holds >250 patents. Key contributions include advancements in EEG-fMRI artifact suppression, non-invasive circulatory monitoring, and sleep state classification in preterm infants.

Tino Ebbersمشاهده پروفایل

استاد

• Cardiovascular Imaging
• Blood Flow Dynamics
• Tissue Characterization
• +۴ مورد دیگر

Tino Ebbers is a Professor in Physiological Measurements at Linköping University, affiliated with the Department of Health, Medicine and Caring Sciences and the Division of Diagnostics and Specialist Medicine. He holds leadership roles, including Chair of the Strategic Area Circulation and Metabolism (LiU-CircM) and membership on the Faculty of Medicine and Health Sciences Board. His research focuses on cardiovascular imaging and modeling, emphasizing non-invasive assessment of blood flow dynamics and tissue characteristics using MRI and CT technologies. Key projects include HEART4FLOW and the Center for Medical Image Science and Visualization (CMIV). Education: PhD (Biomedical Engineering, 2001), MSc (Electrical Engineering, 1996). Previous roles include Visiting Professor at UCSF (2015) and Predevelopment Engineer at Philips Medical Systems (2002–2004). Research interests span 4D flow MRI, computational fluid dynamics, and translational imaging techniques for cardiovascular disease diagnostics. He received the 2024 Onkel Adam Prize for his contributions to medicine-technology integration in cardiovascular research. Teaching roles include examiner for courses in physiological pressures, biomedical engineering, and electrical engineering. His work bridges clinical needs with technological innovation, aiming to improve diagnostic accuracy and patient care through advanced imaging and modeling.

Ling Changمشاهده پروفایل

دانشیار

• Remote Sensing
• Synthetic Aperture Radar (SAR)
• InSAR Techniques
• +۵ مورد دیگر

Ling Chang is an Associate Professor at the University of Twente, affiliated with the Faculty of Geo-Information Science and Earth Observation (ITC) and the Department of Earth Observation Science. She holds a Ph.D. from Delft University of Technology (2015) and an M.S.E. from Tongji University (2010). Her research focuses on statistical hypothesis testing, time series modeling, and change detection using satellite remote sensing, particularly InSAR techniques. Key projects include AlignSAR (ESA Open SAR library) and RailRadar (TUDelft-ProRail collaboration). Education: M.S.E. in Geodesy and Survey Engineering, Tongji University, China (2010) Ph.D. in Geodesy, Delft University of Technology, Netherlands (2015) Research interests emphasize InSAR applications in infrastructure monitoring, environmental geology, and disaster risk assessment. Notable achievements include the Prof. J.M. Tienstra Research Prize (2022) and leadership in the NCG talent program (2020). Teaching responsibilities include coordinating the Radar Remote Sensing course. Her work contributes to UN SDGs related to sustainable infrastructure and climate action.

• Ultrasonic Technology
• Nondestructive Testing
• Smart Materials and Structures
• +۵ مورد دیگر

Professor Ningqun Guo holds the dual roles of Professor in Mechanical Engineering and Head of School for both the Malaysia School of Engineering and School of Information Technology at Monash University Malaysia. He previously served at Nanyang Technological University, Singapore. His academic journey includes a B.Eng from Nanjing University of Aeronautics and Astronautics (China) and a PhD from Imperial College London (UK). His research focuses on stress wave propagation, ultrasound applications, smart materials, nondestructive testing, and civil infrastructure analysis. He has published over 130 papers, secured S$2 million in research grants, and supervised over 10 PhD students. Key research areas include ultrasonic technology for material characterization, smart material systems, and image processing for infrastructure monitoring. His work aligns with UN Sustainable Development Goals, emphasizing sustainable infrastructure and innovation. Notable collaborations span global institutions, with recent projects exploring AI-driven pavement crack detection, transparent object reconstruction, and 3D imaging systems. His contributions to magnetorheological fluid applications and nanofluidics further underscore his interdisciplinary impact. Grants and funding have supported projects in sensor development, structural health monitoring, and advanced imaging technologies. His advisory work has produced impactful PhD graduates in mechanical engineering and materials science. Prof. Guo leads research teams focused on smart materials, nondestructive evaluation, and computational imaging. His lab integrates experimental and theoretical approaches to solve challenges in infrastructure, photonics, and nanotechnology.

Victor Cadarso Bustoمشاهده پروفایل

دانشیار

• Applied Micro and Nanotechnologies
• Photonics
• Microfluidics
• +۷ مورد دیگر

Victor Cadarso Busto is an Associate Professor in the Department of Mechanical and Aerospace Engineering at Monash University, Australia, and a founding member of the Centre to Impact Antimicrobial Resistance (AMR). He holds leadership roles in strategic groups like Community Engagement and Industry. His expertise spans applied micro/nanotechnologies, photonics, microfluidics, and biosensors, with a focus on advancing life sciences and biomedical engineering. Dr. Cadarso earned his PhD in Physics from the Universitat Autònoma de Barcelona. He has held postdoctoral fellowships, including a Marie Curie Fellowship (2009–2012) and an Ambizione Fellowship at the Paul Scherrer Institute. Since 2016, he has led the Applied Micro and Nano-Technology Lab at Monash, developing scalable technologies for biological applications, antimicrobial surfaces, and climate change mitigation. His research addresses critical challenges such as antimicrobial resistance, sustainable regenerative medicine, and reducing methane emissions from livestock. He has pioneered novel devices like SU-8-based MOEMS, commercialized polymers, and founded two micro/nanotechnology startups. Key collaborators include institutions like the Australian Research Council and industry partners such as PolVax Pty Ltd. Recent projects include developing acoustic-based cell imaging systems, microfluidic biosensors for bacterial detection, and non-invasive embryo metabolic imaging. His work aligns with UN Sustainable Development Goals, particularly in health, clean energy, and innovation.

• Landscape Ecology
• Biodiversity
• Hydrology
• +۳ مورد دیگر

Jess Neumann is an active researcher at the University of Reading, with a focus on interdisciplinary environmental science. Her work spans Landscape Ecology , Hydrology , and Biodiversity studies, often addressing climate change impacts and conservation strategies. ORCID: 0000-0003-3244-2578 Collaborator on 21+ publications (2014–2025) Key journals: Landscape Ecology , Natural Hazards and Earth System Sciences , Diversity and Distributions Research Themes: Flood preparedness under uncertainty, nature-based solutions for flood risk, climate-driven species distribution changes, and landscape heterogeneity effects on biodiversity. Her recent work on meteotsunami intensity indexes and social contracts in flood governance highlights cross-sectoral relevance. Scientific Contributions: Developed frameworks for probabilistic flood forecasting Advocates for citizen science in ecological monitoring Explores urban wildlife conservation (e.g., hedgehogs, pheasants) Pioneers ecological data integration across spatial scales

Yang Yiمشاهده پروفایل

پژوهشگر

• Low-carbon building technology
• Sustainable Urban Development
• Life cycle assessment
• +۹ مورد دیگر

Dr. Yang Yi, a researcher at the National University of Singapore (NUS), has a multidisciplinary background in civil engineering, sustainability, and biomedical device development. He earned his BEng (1st Class Honours) and PhD in 2013 and 2017 respectively from NUS, focusing on lightweight sustainable construction materials and dynamic responses under blast loading. PhD, National University of Singapore, 2017 BEng (1st Class Honours), National University of Singapore, 2013 His research spans two distinct domains: sustainable construction and flexible bioelectronic devices . At NUS, he contributes to advancing implantable and wearable technologies for neuroscience applications, while previously driving sustainability initiatives at JTC Corporation and structural design at Meinhardt. The 15 most recent publications highlight his work on implantable optogenetic devices , flexible bioelectronics , and neural interfaces . These studies integrate materials science, neuroscience, and wireless engineering for applications in neuromodulation and biomedical systems. Scientific Awards: IES Sustainability Awards (Engineering Projects, 2023) Public Sector Engineering Innovation Challenge Award (2022) Silver Prize, ACI Singapore Chapter (2022) President Graduate Fellowship (2013-2017) Class of 1977 Silver Medal (2013) Multiple book prizes and medals (2010-2012) Contact: yangyi@nus.edu.sg