جست‌وجوی استاد و پژوهشگر

Paolo Di Giamberardinoمشاهده پروفایل

دانشیار

• Automatica
• Biomedical Systems
• Epidemic Modeling
• +۹ مورد دیگر

Paolo Di Giamberardino is an Associate Professor in Control Engineering (09/G1, ex ING-INF/04) at the Department of Computer Science and Systems Engineering 'Antonio Ruberti', Sapienza University of Rome. He holds a Master's degree in Electronic Engineering and a PhD in Systems Engineering from the same institution. Currently teaching Digital Control Systems (Master's in Control Engineering) and Fundamentals of Automatic Control (Bachelor's in Information Engineering), his academic career spans over 25 years with significant contributions to university governance as a member of Departmental and Faculty Councils. Education: Master's in Electronic Engineering, PhD in Systems Engineering (Sapienza University of Rome) Research Interests focus on systems analysis and control, with applications to biomedical systems (HIV/AIDS dynamics, portal hypertension diagnosis), epidemic modeling (arboviruses, measles, multi-group populations), optimal control for resource allocation, photonic control systems, and MEMS-based biomedical devices. His work bridges theoretical control methodologies with practical implementations in healthcare, robotics, and energy management. Recent Publications highlight innovative applications in photonic logic gates, advanced epidemic containment strategies, and machine learning integration for medical diagnostics. A unifying theme is the use of control theory to address complex biological and medical challenges. Scientific Awards : 2018 Best Short Paper/Poster Award at ICINCO Academic Contributions include leadership in national research projects (PRIN 2005, 2008), participation in international conferences (WSEAS CSCC, ICINCO), editorial roles (IEEE ICRA Associate Editor, International Journal on Computer Methods in Biomechanics), and extensive supervision of undergraduate and graduate theses. His career demonstrates a commitment to both theoretical advancements and real-world applications in systems and control engineering.

Richard Leibbrandtمشاهده پروفایل

مدرس

• Cognitive Science
• Machine Learning
• Computational Linguistics
• +۴ مورد دیگر

Dr. Richard Leibbrandt is a Lecturer at Flinders University's College of Science and Engineering, with full membership in the Medical Device Research Institute and associate membership in the Flinders Digital Health Research Centre. He holds a PhD from Flinders (2009) focused on computational models of language acquisition in children. His interdisciplinary background bridges psychology and computer science. Research Interests: Leibbrandt specializes in cognitive science, human-machine language learning, and human-centered computing systems. His work spans virtual agents, digital health applications, neural behavior modeling, and AI-driven diagnostic tools. Key domains include: Machine learning in healthcare (e.g., PCR optimization, mental health sensing) Virtual reality systems for behavioral research Social determinants of health analytics Computational neuroscience (neural coding, insect pursuit dynamics) Research Output Trends: Recent publications (2020-2025) demonstrate strong emphasis on AI/ML applications in biomedicine, including smart diagnostic devices, virtual reality behavioral platforms, and computational neuroscience. Health technology innovation is a consistent theme, with 30% of works involving clinical translation studies. Projects & Supervision: Active in ARC/NHMRC initiatives including 'From Talking Heads to Thinking Heads' and neuroimaging projects. Supervised 2 AI-focused students. Secured grants for virtual patient training systems in clinical education. Affiliations: Contributes to UN Sustainable Development Goals through digital health research. Associated labs include the Medical Device Research Institute (full member) and Flinders Digital Health Research Centre (associate member).

Svein Ketil Jacobsenمشاهده پروفایل

استاد

• Ultrasound Technology
• Microwave Radiometry
• Optics
• +۵ مورد دیگر

Svein Ketil Jacobsen is a Professor at the Department of Physics and Technology, UiT The Arctic University of Norway in Tromsø. He specializes in applied physics with a focus on Ultrasound, Microwaves, and Optics. His research bridges medical technology and environmental sensing, with affiliations to the university's research group on these topics. Research interests include: Remote sensing technology : Drone-mounted radar systems for snowpack analysis and avalanche research Biomedical instrumentation : Microwave radiometry for non-invasive diagnostics and hyperthermia treatment Ultrasonic systems : High-frequency transducer design and signal processing techniques Antenna design : Optimized microwave antennas for medical and environmental applications His publication trends show a shift from foundational biomedical microwave work (2001-2012) toward drone-based environmental sensing in recent years (2016-2021). Earlier research focused on medical thermometry, bladder diagnostics, and ultrasonic systems, while recent innovations involve UWB radar for snow hydrology and Arctic monitoring. Professor Jacobsen maintains active laboratory facilities at the Technology Building in Tromsø (Room 2.054), conducting experimental work in microwave and ultrasonic technologies.

• Photonics
• Nonlinear Optics
• Computational Physics
• +۵ مورد دیگر

Professor Christopher Poulton serves as Discipline Leader for Physics at the School of Mathematical and Physical Sciences of the University of Technology Sydney (UTS). With a PhD from the University of Sydney (2000) and postdoctoral experience at institutions including the Karlsruhe Institute of Technology and Max Planck Institute for the Science of Light, he specializes in numerical and analytical methods in photonics, particularly focusing on electromagnetic/elastic wave propagation and light-sound interactions via Brillouin scattering. PhD, University of Sydney (2000) BSc (Hons), University of Sydney (1996) His research explores Brillouin scattering for applications in optical data storage, ultrafast acoustic dynamics, and nonlinear waveguide phenomena. He develops analytical models for photonic crystal fibers, metasurfaces, and optoacoustic devices, with recent work emphasizing machine learning integration for Brillouin microscopy data analysis and on-chip signal processing. Recent publications highlight trends in Brillouin-based memory systems , metasurface design , and nonlinear optoacoustic interactions . Methodologies span principal component analysis for biological imaging to quasi-soliton pulse dynamics in photonic waveguides, often combining numerical simulations with experimental validation. Professor Poulton actively supervises honors projects and teaches advanced mathematical topics including Complex Analysis , Vector Calculus , and Numerical Methods . He has contributed to On-chip photonics: principles, technology and applications as a book chapter author. His laboratory collaborates on projects like optoacoustic isolation and 3D hydrogel engineering under grants including ARC Discovery Projects DP200101893 and DP160101691 . Current infrastructure includes chalcogenide waveguide fabrication and Brillouin response measurement systems.

• Rhinology
• Otolaryngology
• Anterior Skull Base Surgery
• +۵ مورد دیگر

Associate Professor Narinder Singh is a clinical academic at the University of Sydney and Head of the ENT Department at Westmead Hospital, Australia's largest healthcare campus. His expertise spans Rhinology, Rhinoplasty, Anterior Skull Base Surgery, and Sleep Apnea interventions. Education: MBBS and MS from the University of Sydney, FRACS certification. Research Focus: Computational Fluid Dynamics (CFD) for nasal airflow and drug delivery. Artificial Intelligence (AI) applications in ENT diagnostics and imaging. Allergen-specific cytokine responses in nasal polyps. Snoring and Obstructive Sleep Apnoea Surgery. Recent Publications (2023-2024): AI in otoscopic image triage for Indigenous children. CFD analysis of nasal adhesions and post-FESS physiology. Global health collaborations in nutrition and disease burden studies. Scientific Awards: Garnett Passe & Rodney Williams Memorial Foundation 3-year Conjoint Grant. University of Sydney scholarships and fellowships. International Collaborations: Clinical/Research Fellow at King's College London. Partnerships with Universidad Politecnica de Cartagena and others on CFD projects.

• Optical Physics
• Biophotonics
• Biomedical Engineering
• +۷ مورد دیگر

David McGloin is an Adjunct Professor at the University of Technology Sydney, School of Electrical and Data Engineering, where he also serves as Director of Research Programs. He joined UTS in January 2018 after previously holding positions at the University of Dundee, where he was Head of Physics and Associate Dean for Research. His educational background includes an undergraduate degree in Laser Physics and Optoelectronics and a PhD in Laser and Atomic Physics, both from the University of St Andrews. After his PhD, he worked at the UK Defence Science and Technology Laboratory before returning to St. Andrews for postdoctoral work. Professor McGloin's research spans several interconnected areas in optical physics and biophotonics. His work focuses on: Optical manipulation of microscopic particles, especially aerosols Biophotonics and biomedical imaging applications Cell mechanics and microfluidic analysis of cellular properties Advanced imaging techniques including super resolution microscopy and optical coherence tomography Applications in cancer diagnosis, particularly for prostate and bladder cancer His recent publications demonstrate a strong trend toward developing novel optical techniques with practical applications in biomedical engineering and aerosol science. Many of his recent papers focus on computational imaging approaches, 3D printed optical components, and the application of optical manipulation techniques to biological systems. Professor McGloin has received significant research funding from organizations including the Royal Society, Engineering and Physical Sciences Research Council, Medical Research Council, and Natural Environment Research Council. His most notable early career achievement was being awarded a Royal Society University Research Fellowship. He supervises HDR students and teaches graduate courses including Technology Research Preparation and Technology Research Methods at UTS. His laboratory work involves optical manipulation, biophotonics, and microfluidics research.

Leonid Hrebienمشاهده پروفایل

استاد

• Biological Dynamics and Control Systems
• Aerospace Medicine
• Pattern Recognition
• +۵ مورد دیگر

Leonid Hrebien is a Professor in the Department of Electrical and Computer Engineering at Drexel University's College of Engineering. His career spans decades of research at the intersection of biomedical engineering and aerospace medicine. Dr. Hrebien's research focuses on biological dynamics and control systems applied to aerospace physiology, particularly through G-suit development for pilots and pattern recognition algorithms for proteomics/cytometry. He also investigates biological data detection and estimation with applications in predictive toxicology and drug development . His Google Scholar publications demonstrate expertise in physiological monitoring , hypoxia detection , and acceleration stress mitigation . Key trends include sensor fusion for biomedical devices, machine learning applications in molecular profiling, and cognitive performance analysis under aerospace stressors. Nominated for Alan T. Waterman Young Investigator Award Three-time ASEE Summer Faculty Fellow IEEE Senior Member Aerospace Medical Association: Associate Fellow → Fellow Best Navy Paper at Air Force/Navy Symposium 2003/2007 Aerospace Medical Association Awards Dr. Hrebien has served as Guest Editor for IEEE Engineering in Medicine and Biology Magazine and Editor for the 'Science and Technology Watch' column in Aviation, Space and Environmental Medicine . His work has received continuous support from US Federal agencies and pharmaceutical industry partners like Glaxo Smithkline and Centocor.

• Biomaterials
• Plasma Medicine
• Low-Temperature Plasmas
• +۲ مورد دیگر

Cristina Canal Barnils serves as a Professor in the Department of Materials Science and Engineering at the Barcelona East School of Engineering, Universitat Politècnica de Catalunya. She leads groundbreaking research at the intersection of plasma physics and biomaterials science through the BBT Research Group in Biomaterials, Biomechanics and Tissue Engineering, while also contributing to the Multiscale Science and Engineering Research Center (CCEM). Her research focuses on plasma-biomaterial interactions , specializing in cold atmospheric plasma applications for tissue regeneration and medical device development. Key areas include plasma modification of biopolymers like alginate hydrogels, development of plasma-treated 3D scaffolds, and quantification of reactive species penetration in biological tissues. Her work bridges fundamental plasma physics with practical biomedical applications, particularly in wound healing and regenerative medicine. Recent publication trends reveal strong emphasis on computational modeling of plasma-biomaterial interactions (28% of recent outputs), plasma device engineering (24%), and therapeutic hydrogel development (21%), with growing interest in educational innovation (12%) and technology transfer (15%). Principal investigator for competitive R&D projects including PlasmAccelerate (technology transfer) and RevCEM (educational innovation) Recipient of multiple European Union-funded grants through Horizon 2020 and Marie Skłodowska-Curie Actions Recipient of Ramon y Cajal program support for career development She maintains an extensive collaboration network spanning 12 research groups, with particularly strong ties to Maria Pau Ginebra Molins' team in biomaterials (126 joint activities) and Francesco Tampieri's group in plasma applications (43 joint activities). Her laboratory infrastructure includes specialized plasma reactors for biomedical applications and advanced materials characterization facilities.

• Experimental Physics of Matter
• Structure and dynamics of disordered systems
• Soft matter physics
• +۱۲ مورد دیگر

Caterina Branca is an Associate Professor in the Department of Mathematical and Computer Sciences, Physical Sciences and Earth Sciences (MIFT) at the University of Messina, where she has served since November 1, 2014. She heads both the "Calorimetry and Thermal Analysis" Laboratory and the "Photo-Correlation Spectroscopy" Laboratory at the Department of Physics. Dr. Branca is also a member of the Doctoral School of Physics Teaching Board and the prestigious Peloritana dei Pericolanti Academy (Class I - Mathematical and Natural Physical Sciences), and serves on the Reviewer Board of Nanomaterials (MDPI). Her research focuses on the experimental physics of matter and applications, with particular emphasis on the structure and dynamics of disordered systems including soft matter (gels, colloids, liquid crystals), glasses, and biological systems. She investigates transport properties of condensed matter and employs various spectroscopic and spectrometric techniques in her work. Dr. Branca's research spans multiple Sustainable Development Goals, particularly Good Health and Well-being (Goal 3) and Industry, Innovation, and Infrastructure (Goal 9). Her 147 publications demonstrate expertise across materials science, biophysics, and environmental studies, with recent work focusing on nanoparticle applications, polymer systems, and environmental pollution analysis. The research shows a strong interdisciplinary approach connecting fundamental physics with practical applications in biotechnology, energy, and environmental science. Member of the Peloritana dei Pericolanti Academy - Class I - Mathematical and Natural Physical Sciences Member of the Reviewer Board of Nanomaterials (MDPI) Dr. Branca actively participates in doctoral education through the Physics Teaching Board and has supervised numerous graduate students. She has been involved in significant research projects including PRIN 2008 projects on the physical properties of water in biological systems. Her work has garnered substantial attention with 104 documents, 2,638 citations, and an H-Index of 26 according to Scopus data from March 2022. She leads specialized laboratories focusing on calorimetry, thermal analysis, and photo-correlation spectroscopy, and has organized multiple international scientific events including workshops on innovative materials for energy and the science of disorder in glasses and polymers.

Jianjun Weiمشاهده پروفایل

استاد

• Nanoscience
• Nanomaterials
• Bioanalysis
• +۵ مورد دیگر

Dr. Jianjun Wei is a Professor and Graduate Program Director at the Joint School of Nanoscience and Nanoengineering (JSNN) at the University of North Carolina at Greensboro (UNCG). He joined UNCG in 2013 after working as a Principal Scientist at CFD Research Corporation. His research focuses on nanomaterials, bio-nanoscience, and energy applications, supported by grants from NSF, NIH, and other agencies. Dr. Wei earned his Ph.D. in Chemistry from the University of Pittsburgh (2004) and holds prior academic appointments at Shanghai University (1995–2000). Research Interests: His work integrates nanomaterials with biological systems, emphasizing nanoscale reactions under external fields, biosensors, energy storage, and plasmonic effects. Key areas include carbon nanodots for antioxidant applications, plasmonic sensing platforms, and magnetic field-enhanced catalysis. Publications: Over 100 peer-reviewed articles in journals like ACS Nano , Langmuir , and Nano Energy , focusing on nanomaterial synthesis, bioanalytical tools, and energy conversion systems. Recent trends include machine learning in catalyst design and plasmonic-based diagnostics. Awards: NASA Technical Innovation Award (2013), DOD SBIR Achievement Award (2008), UNCG Research Excellence Nomination (2018). Grants & Collaborations: NIH-funded projects on biosensor development and energy storage systems. Active in industry partnerships for commercializing nanotechnology. Lab Activities: Wei Group develops plasmonic devices for clinical diagnostics (e.g., diabetes biomarkers), supercapacitor materials, and nanoscale reaction studies.

John Paul Shenمشاهده پروفایل

استاد

• Modern Processor Design
• Instruction-Level Parallelism
• Dependable Computing
• +۳ مورد دیگر

John Paul Shen is a Distinguished Service Professor of Electrical and Computer Engineering at Carnegie Mellon University (CMU), based at the Silicon Valley campus. With over three decades of experience in academia and industry, he has held prominent roles including founding director of Nokia Research Center-North America Lab (2007–2012) and director of Intel’s Microarchitecture Research Lab (2000–2006). His academic career includes a tenured professorship at CMU’s ECE Department from 1990–2000 and a return to CMU in 2015 as a tenured professor. Education: Ph.D. in Electrical Engineering, University of Southern California M.S. in Electrical Engineering, University of Southern California B.S. in Electrical Engineering, University of Michigan Research Focus: Modern Processor Design: Specializes in superscalar processors, instruction-level parallelism (ILP), and microarchitecture validation tools like VMW (Visualization-Based Microarchitecture Workbench). Neuromorphic Computing: Develops energy-efficient temporal neural networks (TNNs) and CMOS implementations for sensory processing. Edge AI: Focuses on low-precision accelerators, sparsity exploitation, and real-time data analytics for edge devices. Dependable Computing: Leverages idle processor resources for error-checking and fault tolerance. Awards & Impact: Recipient of multiple teaching awards during his CMU tenure. Supervised 17 Ph.D. students and dozens of M.S. students, with notable contributions to compiler design and parallel computing. Authored two influential textbooks, including Modern Processor Design: Fundamentals of Superscalar Processors , used at Stanford. Generated over 100 patents and 200+ papers at Nokia and Intel, with a focus on mobile computing and hardware architecture innovations. Labs & Collaborations: Founded and led the Nokia Research Center-NAL, advancing mobile Internet and computing. Directed Intel’s Microarchitecture Research Lab, advancing IA32/IA64 processor designs. Current research at CMU Silicon Valley focuses on neuromorphic systems, wearable computing, and real-time data analytics.

• Microfluidics
• Biomedical Engineering
• Soft Matter Physics
• +۳ مورد دیگر

Daniele Vigolo is a Senior Lecturer at the School of Biomedical Engineering, University of Sydney. He holds an honorary position at the University of Birmingham and is affiliated with the Sydney Nano Institute. His research focuses on microfluidics, soft matter, and complex fluids, with applications in biomedical engineering, particularly in studying deep vein thrombosis and biomaterials. Education: Laurea (5-year Master) in Nuclear Engineering from Politecnico di Milano (2006), PhD in Radiation Science and Technology (2010). Postdoctoral positions at Harvard, Princeton, and ETH Zurich before joining Birmingham in 2015 and Sydney in 2020. Research interests include bio-fluid dynamics, microfluidic platforms for disease modeling, and functional biomaterials. His work combines experimental and theoretical approaches to investigate multiphase flows, thermophoresis, and interfacial phenomena. Recent articles highlight advancements in neuromorphic cytometry, biomolecular condensates, and microfluidic applications in healthcare. He has secured grants for projects like the 3D microvessel-on-chip platform and groundwater quality sensors. Supervised 9 PhD students and 2 postdocs at Birmingham, focusing on thrombosis, biomaterials, and microbial fuel cells. Labs/Teams: Active in Sydney's Biomedical Engineering lab, collaborating with interdisciplinary teams on microfluidic biosensors and vascular models.

Michael Loewenbergمشاهده پروفایل

استاد

• Complex Fluids Dynamics
• Soft Condensed Matter Physics
• Polymer Rheology
• +۳ مورد دیگر

Michael Loewenberg is a Professor of Chemical & Environmental Engineering at Yale University. His research focuses on complex fluids dynamics, particularly the interplay between microstructural relaxation and external flow fields in systems like emulsions, polymers, and colloidal suspensions. His work has applications in materials science, biomedical engineering, and environmental remediation. He holds a Ph.D. from the California Institute of Technology. His research interests include rheology, microfluidic device design, and the dynamics of soft condensed matter. Notable contributions include predictive models for multiphase fluid behavior in industrial processes and novel approaches to pandemic mitigation via computational simulations. Loewenberg's awards include the Presidential Early Career Award for Scientists and Engineers (1999) and the NSF CAREER Award (1996). His research group has pioneered studies on particle demixing in suspension flows, permeable particle dynamics, and electrohydrodynamic systems. His students, including Vittorio Cristini (recipient of the Acrivos Dissertation Prize), have contributed significantly to drop dynamics and breakup mechanisms in turbulent flows. Key research themes include flow-induced self-assembly in confined systems, the mechanics of biological fluids (e.g., blood flow in microcirculation), and the design of microcapsules using interfacial complexation. His work bridges fundamental fluid mechanics with practical engineering solutions for energy and environmental challenges.

Ryan Robucciمشاهده پروفایل

دانشیار

• Hardware Security
• Analog and Mixed-Signal VLSI
• CMOS Image Sensors
• +۷ مورد دیگر

Dr. Ryan Robucci is an Associate Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland Baltimore County (UMBC). He holds a Ph.D. from Georgia Institute of Technology (2009) and a B.S. from UMBC (2002). His research focuses on analog/mixed-signal VLSI, hardware security, embedded systems, and biologically-inspired systems. Key areas include side-channel attack mitigation, low-power wearable devices, and FPGA-driven embedded systems. Education: Ph.D. in Electrical and Computer Engineering, Georgia Tech, 2009 M.S.E.E., Georgia Tech, 2004 B.S. in Computer Engineering, UMBC, 2002 Research Interests: Hardware Security: Side-channel resistance, PUFs, and IC fraud detection Analog/Digital Hybrid Systems: Low-power sensors and reconfigurable circuits Embedded Systems: Wearable health monitoring and FPGA design His publications span hardware security, sensor networks, and embedded systems. He leads the Covail Lab, exploring ultra-low-power analog-digital systems and assistive technologies. Teaching includes courses on digital signal processing, FPGA design, and embedded systems.

• Neuromorphic Engineering
• Compute-in-Memory Architectures
• Dynamic Vision Sensors
• +۴ مورد دیگر

Rajkumar Kubendran is an Assistant Professor at the University of Pittsburgh's Department of Electrical and Computer Engineering within the Swanson School of Engineering. His research focuses on neuromorphic engineering, low-power analog circuits, and biomedical hardware design. He holds a PhD from the University of California San Diego (2014–2020), an MS from Purdue University (2009–2012), and a B.Tech from the National Institute of Technology (2004–2008). His work includes prototypes like dynamic vision sensors (DVS) and in-memory compute architectures, with applications in event-driven computer vision and medical devices. Research interests span brain-machine interfaces, compute-in-memory systems, and neuromorphic computing for robotics and biomedical applications. Notable projects include retina-inspired cameras, custom AI hardware, and programmable stimulators for neural interfaces. His team emphasizes energy-efficient architectures and bio-inspired designs, with recent publications in areas like event-based sensorimotor control and neuromorphic benchmarking frameworks. Professional experience includes internships at Intel, IMEC Belgium, MaxLinear, and Qualcomm. He is an IEEE Senior Member. Though no awards are explicitly listed, his contributions to neuromorphic systems reflect significant technical impact. Current work integrates hardware-software co-design for scalable neuromorphic systems and biomedical device startups.