جست‌وجوی استاد و پژوهشگر

Bianxiao Cuiمشاهده پروفایل

استاد

• Biophysics
• Cell Biology
• Chemistry
• +۶ مورد دیگر

Professor Bianxiao Cui is the Job and Gertrud Tamaki Professor of Chemistry at Stanford University and a fellow of the Wu Tsai Stanford Neuroscience Institute. Her research integrates biophysics, cell biology, chemistry, and nanotechnology to develop tools for studying the nano-bio interface, membrane curvature, electrophysiology, and signal transduction in health and disease. Ph.D. in Chemistry, University of Chicago (2002) B.S. in Material Science & Engineering, University of Science & Technology of China (1998) Her group bridges biochemistry, material science, and neuroscience to probe cellular processes at nanoscale. Key projects include: Mechanisms of Membrane Curvature: How nanoscale topography regulates integrin adhesions, ER-PM contacts, and ion channel activity. Electrophysiological Tools: Nanoelectrode arrays (NEAs) and electrochromic optical recording (ECORE) for scalable, label-free action potential monitoring. Protein Relocalization: Using shuttle proteins to rewire subcellular localization for disease intervention. Recent articles highlight advancements in 3D cell adhesion , AI-driven electrophysiology , and optogenetic pain models . Her work spans biochemical assays, nanofabrication, and in vivo studies . Scientific Awards: Ono Pharma Breakthrough Science Initiative Award (2022-2025) NIH New Innovator Award (2012-2017) NSF CAREER and INSPIRE Awards Packard and Searle Fellowships Teaching & Advising: She mentors PhD students in Chemistry and Biophysics, including Krishna Raghavan and Pengwei Sun , and supervises postdoctoral fellows like Dr. Wei Zhang . She teaches Biophysical Chemistry and advises on cellular nanomechanics and optogenetics . Labs & Collaborations: The Cui Lab collaborates with the Melosh and Khosla labs, focusing on cell-material interactions and neurotechnology development (e.g., Kirigami electronics for organoid stimulation).

Haibo Heمشاهده پروفایل

استاد

• Computational Intelligence
• Neural Networks
• Reinforcement Learning
• +۵ مورد دیگر

Dr. Haibo He is the Robert Haas Endowed Professor in the Department of Electrical, Computer, and Biomedical Engineering at the University of Rhode Island (URI). As an IEEE Fellow and NSF CAREER awardee, his research focuses on computational intelligence, neural networks, and reinforcement learning with applications to smart grids and microgrid systems. Ph.D. in Electrical Engineering, Ohio University, 2006 M.S. in Electrical Engineering, Huazhong University of Science and Technology, 2002 B.S. in Electrical Engineering, Huazhong University of Science and Technology, 1999 His research interests include: Computational Intelligence Adaptive Dynamic Programming Reinforcement Learning Deep Learning for Power Systems Distributed Control in Microgrids Imbalanced Data Learning Recent research trends from publications (2018-2025) show a focus on: Multi-agent reinforcement learning for energy systems Digital twin frameworks for grid security Event-triggered control mechanisms Finite-time convergence algorithms Cyber-attack resilient control systems Evolutionary computation in power networks Awards: IEEE Fellow (2018) NSF CAREER Award (2017) Dr. He leads the Computational Intelligence and Self-Adaptive Systems (CISA) Laboratory at URI, which conducts fundamental research on computational intelligence methods with applications to power systems, data mining, and neural networks.

Farshad Moradiمشاهده پروفایل

استاد

• Neuromorphic Computing
• Spintronics
• Biomedical Engineering
• +۵ مورد دیگر

Farshad Moradi is a Professor at the Department of Electrical and Computer Engineering at Aarhus University, specializing in neuromorphic engineering, spintronics, and biomedical device design. His work focuses on integrating advanced materials and circuits for applications in neural interfaces, energy-efficient computing, and wireless biomedical systems. Research Interests include: Spintronic-based neuromorphic computing architectures Ultra-low power analog/mixed-signal integrated circuits Ultrasonically powered implantable medical devices Neural signal processing and seizure detection systems Wireless energy transfer and structural health monitoring Key Projects (2016-2026): SPICE: Spintronic-Photonic Integrated Circuit Platform PHOTON-NeuroCom: Photonic-assisted Neuromorphic Computing Neuro-Sense: Flexible bioinspired neuroprostheses CorroSense: Self-powered corrosion monitoring HERMES: Hybrid Enhanced Regenerative Medicine Systems Recent innovations include: Ultrasonically powered optogenetic implants Low-power neural amplifiers for deep-brain interfaces Spin-torque nano-oscillator-based neuromorphic hardware Energy harvesting systems for structural monitoring

Matthew Johnstonمشاهده پروفایل

دانشیار

• Integrated Sensors with CMOS
• Stretchable Electronics
• Lab-on-CMOS Platforms
• +۳ مورد دیگر

Matthew Johnston is an Associate Professor in the School of Electrical Engineering and Computer Science at Oregon State University. His research focuses on integrating sensors with CMOS circuits, stretchable electronics, and bio-energy harvesting. He holds a B.S. from Caltech and a Ph.D. from Columbia University. Prior to academia, he co-founded Helixis, a biotech instrumentation startup, and worked in venture capital. His awards include the 2020 SRC Young Faculty Award and 2021 Teaching Excellence Award. Education : B.S., Electrical Engineering, California Institute of Technology, 2005 M.S., Electrical Engineering, Columbia University, 2006 Ph.D., Electrical Engineering, Columbia University, 2012 Research Interests : Johnston explores lab-on-CMOS platforms, stretchable sensor systems, and energy harvesting for low-power applications. His work bridges electronics engineering with biomedical and environmental fields, emphasizing practical applications through interdisciplinary collaboration. Awards : 2020 Semiconductor Research Corporation Young Faculty Award 2021 Oregon State University Teaching Excellence Award 2021 Provost Fellowship Advising & Grants : Johnston’s research is supported by grants from industry and federal agencies. His lab, the SIM Lab, develops innovative electronic systems for healthcare and environmental monitoring. Labs & Teams : He leads the SIM Lab , focusing on interdisciplinary projects in integrated circuits and biomedical applications.

Adrian Uncمشاهده پروفایل

استاد

• Northern Agriculture Under Climate Change
• Soil and Environmental Health and Quality
• Re-cycling and Re-valorization of Organic Wastes
• +۴ مورد دیگر

Adrian Unc is a Professor at Memorial University of Newfoundland's School of Science and the Environment, with affiliations at McGill University and University of Leeds. His research focuses on northern agriculture under climate change, boreal soil health, waste re-valorization, and microbiological drivers of soil fertility. B.Sc. in Agronomy (Timisoara, Romania) M.Sc. & PhD in Soil Science (University of Guelph) Postdoc in Environmental Microbiology (University of Ottawa, Medicine) Research spans climate change impacts on boreal soils, biochar applications for soil fertility, microbial transport dynamics, and permafrost-affected soil systems. He established Canada's first graduate program for northern agriculture (Boreal Ecosystems and Agricultural Sciences - BEAS) and co-founded the Canadian Soil Biodiversity Observatory. His 15 most recent articles address soil carbon cycling, microbial ecology in reclaimed mines, fertilizer source effects on nutrient dynamics, biochar's role in boreal agriculture, and geophysical methods for soil moisture mapping. These works emphasize interdisciplinary approaches to food security, environmental quality, and climate adaptation strategies. Senior Cheney Fellow (2014) Top 3% Cited in Soil Use and Management (2024) Scientific Reports Top 100 Earth Science Article (2018) Top 1% Cited in Applied Soil Ecology (2000 paper) As Deputy Editor of Soil Use and Management and former Associate Editor of Algal Research , he has shaped scientific discourse in soil and algal sciences. His work integrates field studies (e.g., Pye Farm, Labrador) with global collaborations on boreal climate impacts.

• Nanoplasmonics
• Nano-optics
• Biochips
• +۷ مورد دیگر

Li Yi is a Tenured Associate Professor at the School of Microelectronics, Southern University of Science and Technology (SUSTech) , with expertise in nanoplasmonics, nano-optics, and biochips. His career spans institutions including KU Leuven, Imperial College London, and Ludwig-Maximilians-Universität München. Education: Ph.D. (2015, KU Leuven & IMEC), M.S. (2010) and B.S. (2007) in Biomedical Engineering from Zhejiang University. Career: Associate Professor (2021–present) and Assistant Professor (2019–2020) at SUSTech; LMU Research Fellow (2018–2019); Research Associate (2015–2018) at Imperial College London. Research Interests focus on single-molecule biochips, DNA data storage, and nanopore sequencing. His work bridges nanotechnology with biomedical applications, including: Integrated circuit-compatible optical/electrical devices Computational lithography and nanoscale imaging Neural network training for biosensing Publications include >60 peer-reviewed articles with 25 H-index. His recent work emphasizes DNA-based data encryption, nanopore engineering, and portable biosensing systems. Key journals: Nature Communications, Nano Letters, ACS Nano. Scientific Awards : LMU Research Fellowship (Marie Curie COFUND) imec Excellent Scientific Award Shenzhen 'Peacock Plan' Category B Talent Outstanding Poster Award at Surface Plasmon Photonics 2017 Participation in Lindau Nobel Laureates Meeting (2019) Grants include Ministry of Science and Technology Key R&D Youth Program, NSFC General Program, and Guangdong Provincial Key Program. His lab develops: Fluidic nanopores for single-molecule sensing Optical antennas for enhanced detection Training programs in biochip design and nano-optics

Djamel Rezguiمشاهده پروفایل

دانشیار

• Nonlinear Dynamics
• Aeroacoustics
• Flight Dynamics and Control
• +۵ مورد دیگر

Djamel Rezgui is an Associate Professor in Aerospace Engineering at the School of Civil, Aerospace and Design Engineering, University of Bristol, specializing in nonlinear dynamics, aeroacoustics, and flight control of advanced aircraft systems. His research bridges theoretical modeling with experimental validation for next-generation aviation technologies. Education: MEng (Institution unspecified) PhD, University of Bristol (2009) - Thesis: Investigation into Rotor Blade Stability in Autorotation Using Bifurcation and Continuation Methods Research Focus: Dr. Rezgui pioneers experimental control-based continuation techniques for analyzing nonlinear dynamics in rotating-stationary structures and flexible wings. His work on distributed electric propulsion (DEP) systems addresses aeroacoustic challenges in multi-rotor UAVs and eVTOL vehicles, while bio-inspired rotor designs draw from natural samara seed aerodynamics. Key methodologies include bifurcation analysis, whirl flutter stability assessment, and real-time hybrid testing for periodic oscillations. Publication Trends: Recent outputs (2023-2025) reveal concentrated efforts in propeller-wing interaction noise, folding wingtip aeroelasticity, and DEP optimization. Over 40% of his 119 publications tackle aeroacoustic prediction through multi-fidelity solvers, with growing emphasis on turbulent flow effects and phase-synchronized noise reduction for urban air mobility platforms. Research Leadership: Principal Investigator for three major projects: EPSRC MENtOR (EP/S010378/1, £1.2M, 2018-2022), VLN Methods and Experiments for Novel Rotorcraft (£850k, 2018-2021), and VLN MENtOR Bristol (£400k, 2018-2022). Supervised 6 research students with datasets spanning real-time hybrid testing and propeller-wing aeroacoustics. Collaborative Infrastructure: Core member of Bristol's Dynamics and Control group, utilizing wind tunnel facilities for experimental bifurcation analysis of flared folding wingtips and tilting rotors. Active contributor to Vertical Lift Network initiatives and AIAA conferences, with peer-review duties for The Aeronautical Journal .

Stefan Bleeckمشاهده پروفایل

استاد

• Hearing Science
• Audiology
• Signal Processing
• +۵ مورد دیگر

Professor Stefan Bleeck is a Professor of Hearing Science and Technology at the University of Southampton, leading the Hearing and Balance Centre and directing the Institute of Sound and Vibration Research (ISVR). His research focuses on the intersection of hearing science, audiology, and signal processing, with specialties in bio-inspired auditory modeling, speech intelligibility in noise, cochlear implants, and auditory evoked potentials. He holds a PhD in computational neuroscience and has held roles including Head of the Hearing and Balance Centre. Awards include Vice-Chancellor's Teaching Awards (2009) and Google Research Awards (2012). Education: Diploma in Physics (University of Darmstadt, 1995), PhD in Computational Neuroscience (University of Darmstadt, 2000). Research spans experimental, computational, and clinical approaches to improve hearing aids and cochlear implants. Active projects include developing speech enhancement algorithms, antiphasic speech tests for hidden hearing loss, and neural-space speech processing. Supervises multiple PhD students in engineering and computer science. Publications highlight advancements in speech enhancement, bio-inspired models, and cross-linguistic hearing tests. Collaborates with institutions like Google and the European Union on projects funded by EPSRC, Cancer Research UK, and others. His work aims to enhance speech understanding for hearing-impaired individuals through innovative signal processing and auditory modeling.

Sharon R. Longمشاهده پروفایل

استاد

• Plant-Microbe Symbiosis
• Molecular Genetics
• Biochemistry
• +۴ مورد دیگر

Sharon R. Long is the William C. Steere, Jr. - Pfizer Inc. Professor of Biological Sciences and Professor of Biochemistry (by courtesy) at Stanford University . She joined the Stanford faculty in 1982 after completing her B.S. at Caltech (1973) and Ph.D. at Yale (1979) in Cell and Developmental Biology. Key affiliations: Bio-X Member, Sarafan ChEM-H Faculty Fellow Administrative roles: Dean of Stanford School of Humanities and Sciences (2001-2007) Her research focuses on the biochemistry, genetics, and cell biology of plant-bacterial symbiosis , particularly the molecular mechanisms of Sinorhizobium meliloti interactions with Medicago species. Current work includes: Genome-wide analysis of symbiosis gene regulation Exopolysaccharide production mechanisms Transcriptional responses to oxidative stress High-throughput screening for bacterial regulators Her 178 publications (including 162 journal articles and 16 conference proceedings) demonstrate expertise in: Bacterial-plant signaling pathways Gene expression regulation Exopolysaccharide function Symbiotic nitrogen fixation Signal transduction mechanisms Transcription factor analysis Honors include: MacArthur Foundation Fellowship (1992-1997) Member, National Academy of Sciences (1993-) Lifetime Research Award, International Society for Plant-Microbe Interactions (2017) Multiple fellowships (American Academy of Arts and Sciences, American Philosophical Society, etc.) She has served on: President's Committee for the National Medal of Science (2011-2016) Trustee, California Academy of Sciences (2009-2017) Director, Annual Reviews, Incorporated (1994-present) Her lab maintains active collaborations with National Institutes of Health and continues to train the next generation of scientists through various graduate and postdoctoral programs at Stanford.

• Computational Intelligence
• Cloud Computing
• Big Data Applications
• +۶ مورد دیگر

Jun Shen is a Professor at the School of Computing and Information Technology, University of Wollongong. He specializes in computational intelligence, cloud computing, and big data applications, with a focus on AI-driven solutions for real-world challenges in transport systems, healthcare, education, and environmental management. He has secured over 40 research grants totaling AU$4.5 million and supervised 26 completed PhD projects. His work spans interdisciplinary areas including bioinformatics, smart manufacturing, and digital health. Research interests include bio-inspired algorithmic optimization, AI in arts/media, and edge computing for IoT systems. He has pioneered research centers in applied computing since 2014 and holds editorial roles in top journals like IEEE Transactions. As an IEEE Distinguished Lecturer, he actively promotes AI ethics and interdisciplinary collaboration. Recent publications emphasize adversarial machine learning defenses, UAV systems, and multimodal data fusion. His supervision includes projects in intelligent transport systems, cloud computing, and e-learning. Grants include projects on resilient energy systems and UAV geolocation verification. Leadership roles include leading over 20 researchers and chairing conferences. He advocates for digital transformation in public services and has conducted fieldwork at MIT, UCI, and Georgia Tech.

• Artificial Intelligence
• Machine Learning
• Medical Imaging
• +۴ مورد دیگر

Prof Noel O'Connor is a Full Professor at Dublin City University's School of Electronic Engineering, specializing in cutting-edge research at the intersection of artificial intelligence (AI), medical imaging, robotics, and smart city technologies. His work spans applications such as cardiac MRI reconstruction, robotic manipulation using reinforcement learning, and the development of the Smart DCU Digital Twin for autism-friendly university environments. Research interests include AI-driven medical diagnostics, multimodal data fusion, and adaptive systems. His contributions to cardiac MRI reconstruction and transformer-based medical imaging analysis reflect a strong focus on healthcare innovation. He also explores ethical AI practices to reduce social bias in foundation models. Recent work emphasizes smart infrastructure projects, such as optimizing parking recommendations for electric vehicles and enhancing accessibility through digital twin frameworks. His research often integrates real-time sensor data and multi-agent systems to address complex urban challenges. No scientific awards are listed. Collaborations include the ASU-DCU International Research Program on Sensors and Machine Learning. Advising details and grant information are not explicitly provided.

Azhar Zamمشاهده پروفایل

دانشیار

• Biomedical Optics
• Optical Coherence Tomography (OCT)
• Photoacoustics
• +۵ مورد دیگر

Azhar Zam is an Associate Professor of Bioengineering at NYU Abu Dhabi (NYUAD) and associated faculty at NYU Tandon School of Engineering's Biomedical and Electrical Engineering departments. He holds a B.Sc. from University of Indonesia, M.Sc. from University of Luebeck (Germany), and Ph.D. from Friedrich-Alexander-University Erlangen-Nuremberg (Germany). His research focuses on developing smart optical devices for medical imaging/diagnostics, including laser surgery, OCT, photoacoustics, and AI-driven imaging systems. He leads the Laboratory for Advanced Bio-Photonics and Imaging (LAB-π) at NYUAD and has authored 85+ publications/patents. Education: Bachelor of Science, University of Indonesia M.Sc. Biomedical Engineering, University of Luebeck Ph.D. Engineering, Friedrich-Alexander-University Erlangen-Nuremberg Research Interests: Innovations in biomedical optics, optical-based smart sensors, AI-enhanced diagnostics, and miniaturized medical imaging systems. His work integrates advanced optical technologies with surgical robotics and clinical applications. Professional Contributions: Associate Editor for Frontiers in Photonics Biophotonics section; Reviews Editor for Frontiers in Ophthalmology Retina section. Previously held positions at University of Basel (Assistant Professor), University of Waterloo, and other institutions globally. Labs & Teams: Directs NYUAD's LAB-π lab focusing on bio-photonics innovations. Collaborates across NYU's global network and international partners.

Philbert Tsaiمشاهده پروفایل

عضو هیئت علمی

• Quantitative Biology
• Neurovascular Imaging
• Biomedical Engineering
• +۳ مورد دیگر

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.

Molly Cummingsمشاهده پروفایل

استاد

• Evolution of Conspicuous Signals
• Mechanisms of Crypsis
• Neural Mechanisms of Mate Choice
• +۴ مورد دیگر

Molly Cummings is a Professor in the Department of Integrative Biology at the University of Texas at Austin, affiliated with the College of Liberal Arts and the Center for Perceptual Systems. She holds a Ph.D. from the University of California, Santa Barbara. Her research focuses on the evolution of animal communication systems, visual ecology, and sensory-driven diversification in lower vertebrates, particularly poeciliids and poison frogs. Research interests include understanding how environmental constraints shape visual signaling, sensory biases, and mate choice mechanisms. Techniques employed involve field measurements of light environments, electrophysiological recordings, computational modeling, and neuro-ethological experiments. Current projects explore species-level divergence in visual processing and neural pathways influencing decision-making. Key themes include the interplay between natural/sexual selection and communication signal evolution, crypsis mechanisms, and the cognitive basis of sexual conflict. Recent work examines plasticity in stress responses, cognitive-behavioral profiles, and the genomic underpinnings of preference behavior in fish. Collaborative projects involve polarization vision in marine organisms and the ecological consequences of anthropogenic light pollution. Her lab advises graduate and undergraduate students in experimental design and fieldwork, with a focus on integrative approaches bridging ecology, neurobiology, and evolutionary biology. Cummings has contributed to over 100 peer-reviewed articles since 2006, emphasizing mechanistic insights into sensory ecology and organismal adaptation.

Sunday Ekpoمشاهده پروفایل

مدرس ارشد

• Communication Systems Engineering
• Satellite Systems Engineering
• RF and Microwave Engineering
• +۷ مورد دیگر

Dr. Sunday Ekpo is a Senior Lecturer in Electrical & Electronic Engineering at Manchester Metropolitan University (MMU), UK. He holds multiple advanced qualifications, including a PhD in Electrical & Electronic Engineering and certifications such as Chartered Engineer (CEng) and Senior Fellow of the Higher Education Academy (SFHEA). His research focuses on Communication and Space Systems Engineering, with expertise in 5G/6G networks, satellite-cellular convergence, RF engineering, and IoT applications. He leads projects on energy-efficient wireless systems, additive manufacturing for electronics, and smart sensor development. Education: BEng (Hons) in Electrical & Electronic Engineering MSc in Communication Engineering MA in Higher Education PhD in Electrical & Electronic Engineering Research Interests: RF and microwave transceiver design Satellite communication subsystems Energy harvesting for IoT AI-driven signal processing Smart sensor systems Awards: Best Paper Award (2023) Best Overall Powerhours (British Council) Huawei’s Influential Thinkers Award (2019) Grants & Projects: £1.3m+ external grants secured Lead on Sony-funded Spresense-managed drone connectivity projects SmOp Cleantech collaborations on green wireless systems UK Space Agency and 6G policy advisory roles Labs & Teams: Leads the Advanced Electronic Design, Communication and Space Systems Engineering teams, and chairs international conferences like the Adaptive and Sustainable Science, Engineering and Technology (ASSET) series.