جست‌وجوی استاد و پژوهشگر

Frank Luمشاهده پروفایل

دانشیار

• Biophotonics
• Cancer Imaging
• Neuro-oncology
• +۳ مورد دیگر

Frank Lu is an Associate Professor in the Department of Biomedical Engineering at Binghamton University. He leads the Biophotonics and Translational Optical Imaging Lab, which develops novel optical technologies for imaging living systems to improve understanding, diagnosis, and intervention of human diseases, particularly cancer and neuro-oncology. Research focuses on three main areas: 1) Stimulated Raman Imaging for label-free pathology and image-guided neurosurgery; 2) Live-cell imaging for cancer lipid metabolism studies; and 3) Imaging drug delivery using SRS microscopy with Raman tags. His lab combines advanced microscopy techniques with AI-based analysis for improved cancer diagnostics. Lu holds a BS and MS from Zhejiang University and a PhD from the National University of Singapore. His research has earned several awards including the NIH Pathway to Independence Award and the SPIE Best Poster Award. Recent publications demonstrate advancements in AI-powered SRS pathology and Raman-tagged drug delivery imaging. Awards: First Place Art of Science Competition (2021) SSD Recognition Honoree (2020) Best Poster Award SPIE Photonics West BiOS (2020) NIH K99/R00 Pathway to Independence Award (2015-20)

MinJun Kimمشاهده پروفایل

استاد

• Nanotechnology
• Micro/nanofluidics
• Soft Robotics
• +۵ مورد دیگر

Dr. MinJun Kim is a Professor of Mechanical Engineering and holds the Robert C. Womack Endowed Chair at Southern Methodist University's Lyle School of Engineering. He also holds a courtesy appointment in Electrical and Computer Engineering. With a Ph.D. from Brown University and postdoctoral training at Harvard University, his research focuses on nanobiotechnology, micro/nanorobotics, and single-molecule biophysics. His lab, BAST Labs, pioneers advancements in nanopore technology, micro/nanofluidics, and soft robotics. Education: B.S. (Yonsei University), M.S. (Texas A&M), Ph.D. (Brown University), Postdoc (Harvard University). Former roles include Professor at Drexel University (2006–2018). Research interests include: thermal/fluid mechanics, microbiorobotics, single-cell analysis, and biomedical applications of nanotechnology. Over 150 peer-reviewed articles showcase his work in nanopore-based biosensors, magnetic microswimmers, and biomimetic systems. Awards include NSF CAREER Award (2008), Alexander von Humboldt Fellowship (2011), and AIMBE Fellow (2024). His grants total over $10M in federal and industry funding. Advising focuses on interdisciplinary projects in robotics and nanotechnology. Labs/Teams: BAST (Bio-Acoustic and Smart Technology) Lab, leading initiatives in smart nanobiosensors and microscale robotics.

Igor Zozoulenkoمشاهده پروفایل

استاد

• Condensed Matter Physics
• Organic Electronics
• Materials Science
• +۳ مورد دیگر

Prof. Igor Zozoulenko is a Professor and Head of Unit at the Department of Science and Technology (ITN) at Linköping University, leading the Theory and Modelling group within the Laboratory of Organic Electronics (LOE). He holds a Ph.D. in theoretical physics from the National Academy of Sciences of Ukraine and has extensive postdoctoral experience at institutions in Norway and Sweden. His research focuses on electronic and transport properties of low-dimensional semiconductors, conducting polymers, and wood-based materials, with applications in organic bioelectronics and photonics. He has pioneered studies on cellulose-based supercapacitors, such as the plant-based energy storage system in roses. Prof. Zozoulenko teaches undergraduate and Ph.D. courses at Linköping University, earning nominations for the prestigious Gyllene Moroten award in 2005 and 2028. He serves as vice-director of the Wallenberg Wood Science Center Academy, fostering industry-academia collaboration. His research spans theoretical modeling of organic electronics, redox electrochemistry in polymers, and multiscale simulations of electronic transport. Key research themes include the electronic structure of conducting polymers, ion diffusion in cellulose composites, and photonics in bio-inspired materials. He has secured Horizon 2020 funding for doctoral students exploring waste heat energy, perovskites, and computer graphics. His lab’s work has redefined understanding of PEDOT polymer behavior and pioneered transparent wood photonics.

Izabela Jurewiczمشاهده پروفایل

مدرس

• Soft Matter Physics
• Nanotechnology
• Materials Science
• +۵ مورد دیگر

Izabela Jurewicz is a Lecturer in Soft Matter Physics at the University of Surrey's School of Mathematics and Physics. Her research focuses on interdisciplinary applications of nanomaterials, including carbon nanotubes, graphene, and silver nanowires, with emphasis on sensors, drug delivery systems, and tissue engineering. She holds a PhD in Physics from the University of Surrey (2009) and has held postdoctoral positions on projects like ITO-replacement materials and energy storage textiles. Her work bridges physics, materials science, and biomedical engineering. Research interests include: Development of scaffold bio-nanomaterials for tissue regeneration Graphene-based photonic crystals and sensors Pickering emulsions for ocular drug delivery Conductive scaffolds for cardiac tissue engineering 2D material strain and doping mechanisms Publications span 20+ articles in journals like ACS Applied Materials & Interfaces , Nanoscale , and Soft Matter , often exploring nanomaterials' biomedical and environmental applications. Collaborations include projects on pH-responsive peptide assemblies and laser-patterned transparent electrodes.

Jos Brouwersمشاهده پروفایل

استاد

• Sustainable building materials
• Concrete and mortar rheology
• Cementitious materials
• +۳ مورد دیگر

Jos Brouwers is a Full Professor of Building Materials at Eindhoven University of Technology (TU/e), focusing on sustainable and functional construction materials. He is also a guest professor at Wuhan University of Technology's State Key Lab of Silicate Building Materials and serves on the editorial board of Vestnik (Moscow State University of Civil Engineering). Education: MSc and PhD in Mechanical Engineering from TU/e Key Collaborations: State Key Lab (China), Moscow State University of Civil Engineering, Van Berlo Bedrijfsvloeren His research spans sustainable construction materials, including: Granular mix design and rheology of concrete/mortar Microstructure and pore chemistry of hydrating cementitious systems Treatment of contaminated soils and industrial waste Functional materials with self-cleaning or thermal buffering properties Carbonation resistance for marine infrastructures 3D printing of construction materials Recent publications highlight advancements in: Activating BOF slag with Na4EDTA for sustainable binders Geopolymer composites for thermal management Recycling wind turbine blades into construction materials Carbonation modeling for eco-friendly binders Low-cost fiber modification techniques Scientific Awards: NWO Prize (2019) for additive manufacturing of functional materials NWO Prize (2019) for sustainable concrete innovation He has contributed to 692 research outputs and supervised numerous projects, including collaborations on international initiatives like Blades2Build (2023–2026) and UIBAB (2021–2023). His group employs advanced processing and characterization techniques for material innovation.

Federico Corradiمشاهده پروفایل

استادیار

• Neuromorphic Computing
• Spiking Neural Networks
• Energy-Efficient Computing
• +۷ مورد دیگر

Federico Corradi is an Assistant Professor in the Electrical Engineering Department at Eindhoven University of Technology (TU/e), where he leads the Neuromorphic Edge Computing Systems Lab. He also holds the position of EAISI Foundational Assistant Professor at the Eindhoven Artificial Intelligence Systems Institute. His research focuses on neuromorphic computing and engineering, spanning from efficient computational models to novel microelectronic architectures for deep learning and brain-inspired algorithms. Dr. Corradi's academic background includes a Ph.D. in Neuroinformatics from the University of Zurich and an international Ph.D. from the ETH Neuroscience Centre Zurich (2015). Prior to joining TU/e in 2022, he worked at IMEC in the Netherlands (2018-2022) where he started a group focused on neuromorphic IC design. Before that, he was with Inilabs, a spin-off from the Institute of Neuroinformatics, developing event-based cameras and neuromorphic processors (2015-2018). His research interests center around understanding natural neural computation principles to develop energy-efficient sensing and computing technologies. Key areas include: Neuromorphic computing and engineering Spiking neural networks Event-based vision systems Energy-efficient microelectronic architectures Applications in robotics, machine vision, and biomedical signal analysis Dr. Corradi's recent publications demonstrate a strong focus on practical implementations of neuromorphic systems for edge applications. His work shows consistent innovation in translating theoretical neural models into efficient hardware implementations, with particular emphasis on handling temporal data and developing brain-realistic computational models. The research spans multiple domains including radar signal processing, optical computing, and error correction systems. He serves as an active review editor for Frontiers in Neuromorphic Engineering, IEEE, and IOP Science journals, and participates in technical program committees for several machine learning and neuromorphic conferences including ICTOPEN, AICAS, AIAI, ICONS, NEWCAS, DSD, and EUROMICRO. His work has received significant media attention with coverage from multiple news outlets and social media mentions. Dr. Corradi leads the Neuromorphic Edge Computing Systems Lab, which bridges theoretical neuroscience with practical engineering challenges, creating novel solutions for real-world problems. The lab's research has practical applications in robotics, autonomous systems, and biomedical technologies, reflecting his commitment to developing energy-efficient computing solutions that can operate effectively at the edge.

Jin Zhangمشاهده پروفایل

استاد

• Cell Signaling
• Molecular Biology
• Biochemistry
• +۳ مورد دیگر

Jin Zhang is a Professor holding joint appointments in the Departments of Pharmacology, Bioengineering, Chemistry and Biochemistry at the University of California San Diego (UCSD). He also affiliates with the Moores Cancer Center and the BioPAC (Bio-optical Probe Advancement Center). His research focuses on understanding the spatiotemporal regulation of cell signaling pathways, particularly protein kinases and phosphatases, using innovative approaches like genetically encoded fluorescent biosensors, superresolution imaging, and mathematical modeling. Key research areas include the cAMP/PKA, Ca²+/calcineurin, PI3K/Akt/mTOR, MAPK, and AMPK pathways, with applications in energy metabolism, axon development, insulin secretion, and tumorigenesis. The lab develops advanced tools such as activity biosensors, magnetic labeling strategies, and super-resolution imaging techniques to map biochemical activity architectures in living cells. BioPAC, a collaborative initiative co-founded by Zhang, aims to advance optical probe development and instrumentation to address biological and medical questions. His work bridges disciplines like biochemistry, biophysics, and engineering, emphasizing real-time visualization of signaling dynamics in native cellular contexts.

• Polymer Chemistry
• Nanotechnology
• Electrospinning
• +۳ مورد دیگر

Dr. Fred Davis is a materials scientist affiliated with the University of Reading's School of Chemistry, Food and Pharmacy, Department of Materials Science. His research focuses on polymer chemistry, electrospinning, and functional nanomaterials for agricultural and industrial applications. Achievements include developing UV-blocking films for pest control in horticulture. Expertise in liquid crystal polymers, nanofiber fabrication, and polymer characterization. Collaborates extensively with Dr. Graham R. Mitchell and others. Contributions to sustainable manufacturing and food packaging innovations. Research Interests: Dr. Davis specializes in electrospinning techniques to create advanced polymer nanofibers, with applications in horticultural light management , food packaging , and liquid crystal elastomers . His work explores the relationship between polymer structure and functional properties, including mechanical behavior, optical effects, and thermal stability. Article Trends: His publications reveal a consistent focus on electrospun nanofibers (2013-2024), liquid crystal polymers (1997-2024), UV/light manipulation (2008-2023), and food-related polymer applications (2004-2018). Recent work (2024) incorporates magnetic nanoparticles into liquid crystal systems for enhanced material properties. Labs/Teams: Collaborates with the research group led by Dr. Graham R. Mitchell on polymer structure-property relationships, and participates in interdisciplinary teams for applications in agriculture and medical devices.

Floris Van Breugelمشاهده پروفایل

استادیار

• Robotics
• Biomechanics
• Machine Learning
• +۵ مورد دیگر

Floris van Breugel is an Assistant Professor in the Department of Mechanical Engineering at the University of Nevada, Reno (UNR), within the College of Engineering. His interdisciplinary research focuses on studying insects to develop bio-inspired robotics and control systems. The lab employs advanced techniques like real-time tracking, high-speed video, and virtual reality to analyze animal behavior, then applies machine learning and control theory to translate these insights into robotic systems. Key areas include multi-sensory integration in insects, odor plume tracking, and vision-based navigation. Education: PhD in Control and Dynamical Systems from Caltech (2014), supported by NSF and Hertz fellowships. Postdoctoral research at University of Washington with Jeff Riffell and J Nathan Kutz under Sackler and Moore-Sloan-WRF fellowships. Joined UNR in 2019 and received a Sloan Fellowship in Neuroscience (2020). Research Interests: Robotics, biomechanics, machine learning, neuroscience, ecology, and data science. The lab integrates engineering principles with biological insights to create robust robotic control systems, emphasizing sensory integration and environmental adaptation. Awards: Sloan Fellowship in Neuroscience (2020) Sackler Fellowship in Biophysics Moore-Sloan-WRF Fellowship in Data Science NSF and Hertz Graduate Fellowships Advising & Grants: Actively hiring PhD students and undergraduates in data-driven robotics, multi-sensory integration, and bio-inspired systems. Lab activities include collaborative projects with ecologists and neuroscientists to study insect behavior in natural environments. Labs & Teams: Leads the Van Breugel Lab at UNR, emphasizing interdisciplinary collaboration across engineering, biology, and data science. The lab's work spans from fundamental neuroscience to applied robotics, with a focus on Reno's growing tech and outdoor innovation ecosystem.

Emmanuel Bossمشاهده پروفایل

استاد

• Ocean Optics
• Marine Biogeochemistry
• Remote Sensing
• +۲ مورد دیگر

Emmanuel Boss is Professor at UMaine's School of Marine Sciences, focusing on oceanic particle characterization through optical/acoustical methods. His lab develops novel techniques to quantify particulate materials using remote sensing and in-situ sensors, collaborating with universities (OSU, WHOI) and companies (Sequoia Scientific). Primary research examines optical properties (absorption, scattering) to determine particle size distribution and composition, supported by Mie and T-matrix theoretical studies. Recent work expands into ocean acoustics for enhanced particle analysis. Publications emphasize phytoplankton dynamics and satellite oceanography validation. Instrument development includes contributions to Bio-Argo floats and ocean color calibration protocols for NASA's PACE mission.

Eyal Seidemannمشاهده پروفایل

استاد

• Neural basis of visual perception
• Optical imaging techniques
• Computational neuroscience
• +۳ مورد دیگر

Eyal Seidemann is a Professor in the Department of Neuroscience at the University of Texas at Austin, affiliated with the College of Liberal Arts and the Center for Perceptual Systems. His research focuses on understanding how perceptual decisions and motor plans are represented in the primate cerebral cortex. He employs advanced imaging, genetic, and electrophysiological techniques in awake, behaving primates to study neural mechanisms of visual perception and decision-making. Seidemann earned his Ph.D. in Neuroscience from Stanford University. His work integrates experimental and computational approaches, including optogenetics, calcium imaging, and computational modeling. He is supported by grants from the NIH-NEI, BRAIN Initiative, and DARPA, and leads the Seidemann Lab, which develops cutting-edge neuroimaging tools like the Bio-FlatScopeNHP lensless microscope for non-invasive cortical monitoring in primates. Key research areas include neural population dynamics in V1, cortical topography, and the interplay between sensory inputs and behavioral outputs. His lab's innovations in microscopy and optogenetic stimulation enable real-time visualization and manipulation of neural activity during perceptual tasks. Recent findings highlight the role of fluctuating internal states and nonlinear dynamics in shaping sensory processing and decision-making. Seidemann’s contributions bridge experimental neurophysiology and theoretical neuroscience, with applications in understanding neural coding mechanisms and advancing brain-computer interfaces. His work has been published in high-impact journals and presented at international conferences in neuroscience and neuroengineering.

Shelby Buckleyمشاهده پروفایل

پژوهشگر

• Environmental Chemistry
• Photolytic Processes
• Dissolved Organic Matter (DOM)
• +۳ مورد دیگر

Dr. Shelby Buckley is a Researcher in the Department of Environmental Systems Science at ETH Zurich, affiliated with the Professorship for Environmental Chemistry. Her work focuses on environmental chemistry and photolytic processes involving dissolved organic matter (DOM), wildfire ashes, and aquatic systems. She employs advanced analytical techniques like spectroscopy and coupled separation systems to study DOM molecular weight fractions and photochemical reactivity. Research interests include DOM optical properties, singlet oxygen formation mechanisms, and the environmental impacts of photodegradation processes. Her recent studies explore Arctic Ocean ecosystems and the role of DOM in carbon cycling, supported by fieldwork and laboratory experiments. Collaborations likely involve interdisciplinary teams addressing climate change and water quality challenges. Publications emphasize DOM characterization, photolytic pathways, and methodological advancements in environmental analysis. While no awards were explicitly listed, her contributions to Arctic research and DOM studies suggest potential recognition in environmental chemistry communities. Current affiliations include ETH Zurich's D-USYS department with no part-time roles noted.

• Marine Science
• Oceanography
• Climate Science
• +۳ مورد دیگر

Dr. Joel Wong is a Researcher at ETH Zurich's Department of Environmental Systems Science, affiliated with the Professorship for Environmental Physics. His work focuses on understanding marine heatwaves, ocean biogeochemical extremes, and the application of remote sensing techniques to coastal and open ocean environments. He investigates the vertical and horizontal dimensions of oceanic phenomena, including compound extremes in the Southern Ocean and global marine systems. His research emphasizes the impacts of tropical peatlands on coastal water quality, particularly through dissolved organic matter's role in light attenuation and its consequences for coral reef ecosystems. He has developed methodologies for satellite-based estimation of water quality parameters, such as colored dissolved organic matter (CDOM), in highly turbid waters. Key contributions include analyzing the drivers of column-compound extremes, improving remote sensing algorithms for complex coastal environments, and linking climate variability (e.g., ENSO) to marine heatwave patterns. His interdisciplinary approach bridges environmental physics, oceanography, and biogeochemistry to address pressing questions in climate science and ecosystem resilience.

• Synthetic Biology
• Bioengineering
• Raman Spectroscopy
• +۵ مورد دیگر

Professor Alistair Elfick holds a Personal Chair in Synthetic Biological Engineering at the University of Edinburgh's School of Engineering, where he directs the Centre for Engineering Biology and the BBSRC Synthetic Biology Network on Standardisation. His interdisciplinary work bridges mechanical engineering principles with advanced biological systems. His academic background includes a PhD in Biomedical Engineering (University of Durham, 1999), MSc in Bioengineering (University of Strathclyde, 1994), and BSc in Mechanical Engineering (University of Durham, 1993). Elfick's research pioneers synthetic biology standardization for multicellular mammalian systems, nonlinear optical microscopy for label-free cellular imaging, and DNA nanotechnology applications. He develops tools like the PUFFFIN cell-labeling system and PaperClip DNA assembly method, while investigating nanoparticle toxicity through CARS microscopy and impedance biosensing. His work emphasizes translational applications in tissue regeneration, drug delivery, and environmental biotechnology. Recent publications reveal a strong focus on mammalian synthetic biology standardization, with key themes including plasmid engineering for cell-neighborhood mapping, Raman-based toxicity screening, and DNA nanoswitch development. His team consistently bridges optical physics with biological engineering to create non-invasive monitoring solutions. Major scientific awards include the Fulbright Distinguished Scholars Award (2003), EPSRC Advanced Research Fellowship (2004-2009), and Royal Academy of Engineering Global Research Award (2003). US-UK Fulbright Commission, Distinguished Scholars Award, University of California Berkeley, 2003 EPSRC Advanced Research Fellowship, 2004-2009 Royal Academy of Engineering, Global Research Award, University of California Berkeley, 2003 Fellow of the Society of Biology Elfick currently leads EPSRC-funded projects including Formulating MetaVarnish (2025-2026) for metamaterial coatings and DASA's Engineering Biology for Defence initiative (2023), building on prior BBSRC grants for biomanufacturing optical materials. His grant portfolio demonstrates consistent success in securing major UK research council funding for bioengineering innovation. As Director of the BBSRC Synthetic Biology Network, he coordinates national standardization efforts while maintaining active collaboration with the Orthopaedic Research Society and European Society for Biomaterials through his Centre for Engineering Biology.

Glen McHaleمشاهده پروفایل

استاد

• Interfacial Science
• Wetting Dynamics
• Smart Surfaces
• +۲ مورد دیگر

Glen McHale is Professor of Interfacial Science & Engineering and former Director of Chemical Engineering (2020-2024) at the University of Edinburgh. His research integrates wetting dynamics, bio-inspired surfaces, and acoustic wave technologies. Key innovations include slippery liquid-infused surfaces, dielectrowetting for liquid control, and Leidenfrost-based heat engines. Research explores nature-inspired surface engineering, droplet manipulation, and functional materials. Applications range from anti-biofilm coatings to energy harvesting systems. Recent publications advance understanding of friction in droplet motion and liquid-infused surface fluidics. Recipient of EPSRC Platform Grant for world-leading research Global Engineering Impact Award winner (National Instruments) Fellow of Royal Society of Arts, Institute of Physics, and Senior IEEE Member Teaching includes Chemical Engineering Laboratories, Study Projects, and research supervision. Actively leads the UK Fluids Network Special Interest Group on Bio-Inspired Surfaces and develops public engagement initiatives like 'Natures Raincoats'.