جست‌وجوی استاد و پژوهشگر

Adam Zweifachمشاهده پروفایل

استاد

• Immunology
• Cell Biology
• Signal Transduction
• +۳ مورد دیگر

Adam Zweifach is a Professor in the Department of Molecular and Cell Biology at the University of Connecticut, specializing in Cell and Developmental Biology. His primary affiliation is with the College of Liberal Arts and Sciences. He holds a Ph.D. from Yale University and completed postdoctoral training at Stanford University. Zweifach’s research focuses on T lymphocyte function, particularly signal transduction mechanisms and the role of calcium signaling in cytotoxic T cell lytic granule exocytosis. His work integrates immunology, cell biology, and pharmacology to explore therapeutic strategies for cancer and immune-related disorders. Recent publications highlight his contributions to immunomodulatory drug discovery, high-throughput screening methodologies, and the development of genetically encoded sensors for cellular processes. His lab employs advanced techniques such as FRET-based assays and compound ensemble strategies to validate drug targets and identify novel therapeutic candidates. Zweifach’s articles emphasize the interplay between calcium signaling pathways and T cell effector functions, with notable work on the mechanisms of cytotoxic T lymphocyte exocytosis. He has also addressed statistical rigor in experimental design, advocating for best practices in data analysis. While no specific awards are listed, his extensive publication record reflects sustained contributions to immunology and drug discovery. His research has practical implications for developing targeted therapies and improving screening protocols in biomedical research.

Suzanne Littleمشاهده پروفایل

استاد

• Computer Vision
• Media Analytics
• Machine Learning
• +۲ مورد دیگر

Professor Suzanne Little is a Full Professor at Dublin City University's School of Computing and SFI Principal Investigator at the Insight Centre for Data Analytics. She holds a PhD from the University of Queensland and leads research in media analytics, computer vision, and machine learning. Her work develops methods for analyzing multimedia content including video analysis for surveillance, sports analytics, transportation, and medical imaging. Research focuses on: Content-based multimedia indexing and retrieval Computer vision for object/event detection in video Bias analysis in deep learning models Edge computing for video analytics Optimization of neural network architectures Her recent publications address bias mitigation in AI systems, efficient object detection methods, and novel applications of event cameras. Professor Little co-directs the SFI Centre for Research Training in Artificial Intelligence and contributes to the iForm Advanced Manufacturing Centre. She has led multiple EU projects in multimedia and big data, including the Smart Stadium IoT initiative with Croke Park. Her work has been featured in media outlets including RTE, Silicon Republic, and The Irish Times.

Madhu Kannanمشاهده پروفایل

استادیار

• Neuroscience
• Neurobiology
• Cellular Neuroscience
• +۳ مورد دیگر

Madhu Kannan, PhD, is an Assistant Professor in the Department of Orthopedic Surgery at the University of Minnesota. Their research focuses on neuroscience, neurobiology, and neurotechnology, with a particular emphasis on dopamine signaling, neuronal dynamics, and advanced imaging techniques. Key areas of investigation include the interplay between dopamine and memory systems, voltage imaging in behaving mammals, and the development of novel genetic tools for studying neuronal activity. Research interests span cellular neuroscience, neurophysiology, and neurotechnology, with contributions to understanding axon growth mechanisms, ubiquitin ligase pathways in neuronal survival, and the impact of environmental factors on neural development. Dr. Kannan’s work bridges molecular biology, biophysics, and behavioral studies, aiming to uncover fundamental mechanisms underlying neural function and disease. Publications highlight advancements in voltage-sensitive indicators, dual-polarity imaging systems, and insights into neurodegenerative processes. The research trajectory demonstrates a strong focus on translational neurobiology, combining cutting-edge imaging technologies with molecular and genetic approaches. No scientific awards or grants are listed in the provided information. No advisees or students are explicitly mentioned in the text.

• Materials Science
• Nanotechnology
• Superconductivity
• +۵ مورد دیگر

Antonio Cassinese is a Full Professor at the CNR Institute for Superconductors, Innovative Materials and Devices (SPIN), affiliated with the Department of Physical Sciences and Technologies of Matter. His research focuses on advanced materials science, superconductivity, organic electronics, photonics, and biosensors. Key areas include the development of hybrid nanocomposites, 2D materials for electrocatalysis, superconducting single-photon detectors, and organic electrochemical transistors for biosensing applications. Publications since 2022 highlight contributions to memristive systems, superconducting microstrip detectors, and optoelectronic devices. His work spans interdisciplinary topics such as nanotechnology, energy materials, and environmental remediation through photocatalysis. The research emphasizes both fundamental material characterization and applied device engineering. Dr. Cassinese collaborates extensively within SPIN, contributing to cutting-edge projects in quantum sensing, optoelectronics, and bioelectronics. His team explores novel material interfaces and fabrication techniques, with applications ranging from medical diagnostics to energy conversion systems.

Kelly Huangمشاهده پروفایل

استادیار

• Environmental Fluid Mechanics
• Turbulence
• Sensing Techniques
• +۳ مورد دیگر

Dr. Kelly Huang is the Kalsi Assistant Professor of Mechanical & Aerospace Engineering at the University of Houston. She holds affiliations with the College of Engineering and the Department of Mechanical and Aerospace Engineering. Her research focuses on environmental fluid mechanics, turbulence, sensing techniques, and boundary-layer meteorology, with current projects exploring wind-wave-vegetation interactions and high-resolution sensor development. Education includes a Ph.D. and M.A. from Princeton University and a B.S. from Cornell University. She has held a postdoctoral position at the University of Notre Dame and maintains professional memberships in the American Physical Society and American Geophysical Union. Her teaching includes courses like Thermodynamics and Environmental Fluid Dynamics. Key research interests revolve around fog dynamics, turbulence modeling, and atmospheric boundary layer processes. Her recent work has advanced understanding of coastal fog genesis mechanisms and fog intermittency through field campaigns like FATIMA. Huang's team develops novel sensors such as the Super Combo Probe for high-resolution atmospheric measurements. Awards: NREL FACES Awardee (2024), Excellence in Teaching (2020), NDSEG Fellowship (2017) Grants/Advising: Leads lab projects on fog-statistics modeling and wind-vegetation interactions; advises through experimental fluid dynamics coursework. Her lab focuses on advancing environmental fluid dynamics through interdisciplinary approaches combining field experiments, novel instrumentation, and theoretical modeling.

• Materials Engineering
• Electrical and Electronic Engineering
• Condensed Matter Physics
• +۵ مورد دیگر

Dr. Peter Petrov is a Principal Research Scientist at Imperial College London's Department of Materials (Faculty of Engineering), serving as the Royce Technology Platform Lead for Diverse Thin Film Device Materials and Director of the Thin Film Device Manufacture facility. His expertise spans functional oxide thin films, microwave tunable devices, and energy harvesting technologies. He holds degrees from St. Petersburg State Electrotechnical University and Chalmers University of Technology. Petrov leads EPSRC/EU-funded projects focused on nano-scale thin films for solar energy and plasmonic devices. His research group has pioneered innovations like tunable thin film resonators and antimicrobial plasmonic materials. Education: PhD (Technical Sciences) and MSc (Physics and Engineering), St. Petersburg State Electrotechnical University Affiliations: Institute for Molecular Science and Engineering, Nanoscience and Nanotechnology Group Roles: Health & Safety Officer (Department of Materials), Laser Safety Advisor, Editorial Board Member of Scientific Reports Research interests include functional oxides, plasmonics, energy materials, and biomedical nanotechnology . Notable achievements include developing the first tunable thin film BAW resonators, demonstrating room-temperature negative capacitance in ferroelectric multilayers, and creating plasmonic biosensors for rapid disease detection. Collaborations with King's College Hospital led to novel bone resorption analysis methods. Publications focus on plasmonic materials, thin film fabrication, and energy conversion , with a 2023-2025 emphasis on thermoelectric converters, graphene-based devices, and nanostructured sensors. His work bridges fundamental physics with industrial applications, addressing challenges in renewable energy, medical diagnostics, and nanomanufacturing. Awards: 2024 Henry Royce Institute Innovation Award Grants/Projects: EPSRC/EU grants, Royce Institute collaborations, and industrial partnerships with Ericsson AB and Murata Manufacturing Labs/Teams: Leads Imperial's Thin Film Device Manufacture facility, managing a lab with 2 PDRAs and 5 graduate students. Active in the Royal School of Mines nanotechnology cluster.

Siddhant Midhaمشاهده پروفایل

پژوهشگر

• Quantum Physics
• Condensed Matter Physics
• Quantum Transport
• +۴ مورد دیگر

Siddhant Midha is a researcher at Princeton University, contributing to cutting-edge research in quantum systems and nanoelectronics. His work integrates theoretical and experimental approaches to advance understanding of superconductivity, topological phases, and quantum transport phenomena. He leads a team overseeing graduate students and postdoctoral researchers, focusing on experimental and computational studies of quantum phenomena. Research topics include Cooper pair splitters, quantum metrology, and hybrid nanowire systems. His recent publications emphasize applications in quantum sensors and topological electronics. Midha's research explores the interface between quantum materials and device applications, with a focus on stabilizing quantum coherence and optimizing measurement techniques. His team develops novel methods for current-density reconstruction using quantum diamond magnetometry and investigates the role of symmetry in topological phases. No scientific awards are explicitly listed in the provided text. His lab's work contributes to foundational knowledge for quantum computing hardware and nanoscale device engineering.

Koos (Cornelis) Zevenhovenمشاهده پروفایل

پژوهشگر

• MRI Scanner Technology
• Intelligent Dynamics
• Ultra-Low-Field MRI
• +۳ مورد دیگر

Koos Zevenhoven is a doctoral researcher at Aalto University's School of Science, Department of Neuroscience and Biomedical Engineering. He leads a research group focused on innovative MRI technologies, particularly ultra-low-field MRI and hybrid MEG-MRI systems. His work emphasizes portable, cost-effective medical imaging solutions and 'intelligent dynamics' techniques to solve hardware challenges. Zevenhoven's research spans MRI hardware development, signal processing, and clinical applications in neuroimaging. He has collaborated internationally, including with UC Berkeley, and has over 30 publications. His thesis, defended in 2023, addresses unconventional MRI scanner design and dynamic pulse-waveform coupling. Education: Engineering Physics and Mathematics (Aalto University) Leadership: Research group leader for 10 years during his PhD Key Projects: First prototypes of combination brain scanners for epilepsy treatment planning Patents: Dynamical pulse-waveform coupling (DynaCAN) techniques Research interests include magnetic noise reduction, sensor design, and biomedical instrumentation. His work bridges theoretical physics and practical medical applications, aiming to improve diagnostic tools' accessibility and accuracy.

Ingrid Ullmannمشاهده پروفایل

پژوهشگر

• Radar imaging
• Radar signal processing
• Ultrasound imaging
• +۸ مورد دیگر

Ingrid Ullmann is a Researcher and Research Group Leader (Wave-Based Sensing Techniques) at the Institute of Microwaves and Photonics (LHFT) within the Department of Electrical-Electronic-Communication Engineering at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). She holds a Dr.-Ing. (PhD) from FAU, awarded in 2021 for her thesis on 'Novel Concepts for Radar Imaging in Heterogeneous Media'. Her academic journey includes a 2016 M.Sc. in Electrical Engineering from the same institution. Her research focuses on radar imaging (millimeter-waves, terahertz), ultrasound imaging, non-destructive testing, and biomedical engineering applications. She leads two laboratories: the Radar Imaging Laboratory and the Medical Imaging Laboratory, advancing innovations in security screening, medical diagnostics, and automotive radar systems. Her work integrates machine learning with radar techniques to enhance imaging resolution and analysis efficiency. Ullmann’s publications (over 50 entries from 2017–2025) emphasize radar-based human motion tracking, material reconstruction, and UAV applications for environmental monitoring. Key trends include: 1) fusion of radar and ultrasound for enhanced visibility, 2) machine learning-driven signal processing in biomedical contexts, and 3) development of compact radar systems for space debris tracking and historical document analysis. She actively supervises student theses in radar imaging, medical engineering, and security systems. While no explicit awards are listed, her contributions to IEEE journals and conference proceedings highlight her technical leadership. Collaborations with Erlangen University Hospital and industry partners (e.g., Siemens) underscore her interdisciplinary reach.

Bernard Choiمشاهده پروفایل

استاد

• In vivo research
• Optical imaging
• Microvasculature
• +۶ مورد دیگر

Bernard Choi, Ph.D., is a Professor at the University of California, Irvine (UCI), holding dual appointments in the Department of Biomedical Engineering (Samueli School of Engineering) and the Department of Surgery (School of Medicine). His laboratory, the Microvascular Therapeutics & Imaging Laboratory (MTI Lab) at the Beckman Laser Institute, focuses on developing optical imaging technologies to study microvascular systems in health and disease. Key research areas include in vivo monitoring of microvascular responses to therapies, real-time blood flow imaging, and instrumentation development for clinical applications such as neurosurgery and dermatology. Dr. Choi’s work emphasizes interdisciplinary collaboration, training the next generation of biomedical engineers and clinicians. Recent projects include studying cerebral microhemorrhages in Alzheimer’s disease models, hypertension-induced vascular injury, and integrating EEG with hemodynamic imaging for cardiac arrest prognosis. His lab has developed novel devices like handheld blood-flow imagers and protocols for quantitative vascular analysis. Collaborations span preclinical models and clinical trials, with a focus on translational research. Notable contributions include advancements in laser speckle contrast imaging, 3D vascular mapping, and optical clearing techniques. The MTI Lab actively engages undergraduate, graduate, and medical students in research, as evidenced by recent student awards and presentations. Dr. Choi’s team also publishes extensively in journals like Neurophotonics and Medical Imaging, focusing on both technical innovations and clinical applications. His research is supported by grants from the NIH, NSF, and industry partnerships. The lab maintains strong ties with clinical departments at UCI, enabling rapid translation of imaging technologies into clinical practice. Future work includes expanding applications of real-time imaging for precision medicine and developing AI-driven analysis tools for large-scale vascular datasets.

Mei-Hua Leeمشاهده پروفایل

دانشیار

• Motor Development
• Motor Learning
• Infant and Early Childhood Development
• +۵ مورد دیگر

Mei-Hua Lee is an Associate Professor in the Department of Kinesiology at Michigan State University. She holds a Ph.D. from The Pennsylvania State University and leads the Motor Development and Learning Lab (SDLab). Her work focuses on motor development across the lifespan, particularly how infants and young children learn to interact with their environment through reaching and grasping behaviors. She integrates kinematic analysis, biofeedback, and qualitative methods to study motor skill acquisition and its implications for motor learning and rehabilitation theories. Her research explores the transition from spontaneous movements to goal-directed actions in infancy, leveraging advanced technologies like wearable sensors and machine learning for activity classification. She has pioneered body-machine interface systems to enable assistive device control for individuals with severe motor impairments. Lee’s studies also address methodological challenges in motor learning research, including missing data practices and the design of rigorous experimental protocols. Key collaborations involve interdisciplinary teams from engineering, neuroscience, and pediatrics. Her lab actively develops novel tools for early detection of developmental disorders through movement analysis and promotes translational research in neurorehabilitation technologies.

Mónica Isela Acuautla Menesesمشاهده پروفایل

دانشیار

• Piezoelectric materials
• Micro/Nano Electro Mechanical Systems (MEMS/NEMS)
• Flexible electronics
• +۵ مورد دیگر

Prof. Mónica Isela Acuautla Meneses is an Associate Professor at the University of Groningen's Faculty of Science and Engineering, affiliated with the Discrete Technology and Production Automation department. Her research focuses on piezoelectric materials, MEMS/NEMS, flexible electronics, and sensors. She holds a PhD in Micro and Nanoelectronics from Aix Marseille University, an MSc in Electrical Engineering from CINVESTAV, Mexico, and a BSc in Mechatronic Engineering from IPN, Mexico. She has received the TKI Top sector HTSM grant (2022) and has authored over 50 peer-reviewed publications. Research Interests Her multidisciplinary work integrates material science and engineering to develop sensors, actuators, and energy harvesters using piezoelectric materials such as ceramics, thin films, and polymers. Key areas include ferroelectric hafnium-based materials, flexible piezoelectric composites, and piezoelectric energy harvesting systems. Recent advancements include low-toxicity chemical deposition methods for ferroelectric thin films and deformable mirror concepts leveraging piezoelectric hysteresis. Awards & Grants - TKI Top sector HTSM grant (2022) - Recognized for innovations in piezoelectric energy harvesting and sensor technologies. Key Projects - Development of high-performance piezoelectric sensors for biomedical and aerospace applications. - Exploration of novel ferroelectric materials for next-generation electronic devices. - Collaboration with the Engineering and Technology Institute Groningen for advanced materials prototyping. Labs & Teams Affiliated with the Discrete Technology and Production Automation research group, focusing on micro/nano fabrication, MEMS, and smart materials systems.

• Antenna Engineering
• 5G and mm-wave antennas
• Wearable and flexible antennas
• +۴ مورد دیگر

Syed Muzahir Abbas serves as an Adjunct Professor at Macquarie University's School of Engineering, specializing in advanced antenna systems and wireless technologies. His research bridges materials science and electrical engineering with a focus on practical applications in telecommunications and sensor networks. Dr. Abbas's primary research interests span antenna engineering with particular expertise in 5G/mm-wave antennas, wearable and flexible antenna systems, carbon nanotube and graphene applications, metamaterials, and IoT sensor technologies. His work consistently explores the intersection of novel materials and electromagnetic design to solve real-world communication challenges. Analysis of his recent publications reveals a strong trend toward practical applications of advanced materials in wireless systems, particularly focusing on flexible electronics for IoT applications, enhanced RFID technologies, and specialized antenna designs for satellite and body-area networks. His research demonstrates significant collaboration with industry partners and other academic institutions. Dr. Abbas actively supervises graduate research, inviting potential Masters and PhD students to contact him regarding research opportunities in antenna engineering and wireless communication systems.

Jin Ryoun Kimمشاهده پروفایل

دانشیار

• Data-driven enzyme engineering
• Protein mis-assembly in neurodegenerative diseases
• Protein folding and stability
• +۱ مورد دیگر

Jin Ryoun Kim is an Associate Professor in the Department of Chemical and Biological Engineering at New York University's Tandon School of Engineering. He joined the faculty in 2006 and focuses on protein engineering, neurodegenerative diseases, and molecular sensing technologies. His work includes creating novel proteins for detecting toxic molecules in diseases like Alzheimer’s and engineering thermostable enzymes for industrial applications. Dr. Kim holds a Bachelor of Science and Master of Science in Chemical Engineering from Seoul National University (1997-1999) and a Ph.D. in Chemical and Biological Engineering from the University of Wisconsin-Madison (2004). His research interests encompass data-driven enzyme engineering , protein mis-assembly in neurodegenerative diseases , protein folding/stability , and protein-based molecular sensors . He explores how proteins interact in diseases like Alzheimer’s and Parkinson’s, with a focus on developing diagnostic tools and therapeutics. Notable achievements include the New Investigator Award (Alzheimer’s Association, 2009), Wechsler Award for Excellence (2009), and Jacobs Excellence in Education Award (2013). He has authored numerous journal articles and patents, contributing to fields like enzyme design and peptide therapeutics. His lab investigates protein-protein interactions, amyloid formation, and molecular sensors. He collaborates on projects such as peptide probes for detecting beta-amyloid aggregates and engineering thermostable enzymes for industrial use.

• Robotics
• Biomedical Engineering
• Control Systems
• +۳ مورد دیگر

Jason Gu is a Professor in the Department of Electrical and Computer Engineering at Dalhousie University, cross-appointed to the School of Biomedical Engineering. His research integrates robotics, control systems, and biomedical engineering to develop innovative solutions for mobile robotics, surgical systems, and rehabilitation technologies. His primary research domains include: Robotics : Mobile robotics, surgical robots, rehabilitation assistive devices, wireless control systems, and multi-sensor data fusion. Biomedical Engineering : Artificial eye implant control, medical robotic devices, and rehabilitation technology design. Control Systems : Real-time intelligent control, nonlinear systems theory, and embedded control applications. Alternative Energy : Development of novel energy technologies and systems. Analysis of his recent publications (2023-2025) reveals a strong convergence of AI with robotics, particularly in vision-language models for human-robot interaction, semantic SLAM for dynamic environments, and medical image processing. His work shows increasing emphasis on lightweight algorithms for UAVs, neural interfaces, and energy-efficient control systems for aerospace applications. His distinguished honors include: IEEE Canada President (2020-2021) and President-elect (2018-2019) Fellow of the Engineering Institute of Canada (FEIC) Fellow of the Canadian Academy of Engineering (FCAE) Professional Engineer (PEng) designation Professor Gu leads a dynamic research laboratory developing advanced robotic platforms including the PA10 Portable General-Purpose Intelligent Arm and B21r Mobile Robotic System. His team actively pursues real-world applications in surgical robotics, terrain perception for legged robots, and alternative energy systems through industry-academic partnerships and competitive research grants.