جست‌وجوی استاد و پژوهشگر

Daniele ZANNONIمشاهده پروفایل

مدرس

• Environmental Chemistry
• Isotope Geochemistry
• Atmospheric Science
• +۳ مورد دیگر

Daniele ZANNONI is a Lecturer at Ca' Foscari University of Venice , contributing to environmental chemistry and isotope geochemistry research. He serves as an Emergency Team Officer and teaches courses in Science and Technology for Cultural Heritage . His current affiliation with the Department of Molecular Sciences and Nanosystems underscores his expertise in advanced analytical techniques. Dr. Zannoni specializes in isotopic analysis of water cycles , with particular focus on polar ice cores , atmospheric water vapor dynamics , and environmental factors influencing isotopic composition . His work bridges climatology and hydrology , utilizing stable isotope measurements to study climate patterns and environmental processes. His recent publications highlight methodological advancements in Continuous Flow Analysis (CFA) for ice core studies and laser ablation techniques for high-resolution isotopic data. Key research themes include Antarctic precipitation patterns , kinetic fractionation during ocean evaporation , and coastal lagoon water cycles . He also contributes to low-cost sensor networks for alpine environmental monitoring. While no scientific awards are documented in the provided texts, his collaborative work appears in journals like The Cryosphere , Atmospheric Measurement Techniques , and Journal of Hydrology . His research extends to urban pollution characterization , radioactivity monitoring , and geographical origin tracing of agricultural products through isotopic signatures.

Nicholas Manickeمشاهده پروفایل

استاد

• Mass Spectrometry
• Analytical Chemistry
• Forensic Science
• +۵ مورد دیگر

Nicholas Manicke, Ph.D., is a Professor at Indiana University Indianapolis’ School of Science, affiliated with the Chemistry & Chemical Biology and Forensic & Investigative Sciences departments. As Associate Director of the Forensic & Investigative Sciences Program, he pioneers ambient ionization mass spectrometry methods like Paper Spray and DESI for rapid analysis of biofluids, drugs, and chemical warfare agents without traditional sample preparation. His work bridges biomedical research, forensic science, and homeland security, focusing on translating lab innovations into field-deployable solutions.

Rebecca McElroyمشاهده پروفایل

پژوهشگر ارشد

• Astrophysics
• Active Galactic Nuclei (AGN) Feedback
• Galaxy Evolution
• +۴ مورد دیگر

Dr. Rebecca McElroy is a Vice-Chancellor's Postdoctoral Research Fellow in the School of Mathematics, Physics and Computing at the University of Southern Queensland. Her research focuses on active galactic nuclei (AGN) feedback mechanisms, galaxy evolution, and star formation processes in nearby galaxies. She is a core contributor to major international surveys including the Close AGN Reference Survey (CARS) and the PHANGS (Physics at High Angular resolution in Nearby GalaxieS) project, which utilize multi-wavelength observations to study galaxy dynamics and interstellar medium interactions. McElroy holds a PhD from the University of Sydney (2018), preceded by a BSc (2013) and GDipSc (2014), also from Sydney. She has affiliations with the Centre for Astrophysics and the Institute for Advanced Engineering and Space Sciences. Her work emphasizes high-angular resolution studies of AGN-driven outflows, molecular cloud lifecycle analysis, and environmental dependencies in star-forming regions. Recent research highlights include discovering parsec-scale multi-phase outflows in super-Eddington AGN and tracking dramatic variability in changing-look AGN like Mrk 1018. Her publications span 20+ peer-reviewed articles in journals like Astronomy & Astrophysics, Astrophysical Journal, and Monthly Notices of the Royal Astronomical Society. Key themes include AGN-jet interactions, star formation efficiency calibration, and resolving metallicity variations in galactic disks. McElroy's collaborative projects leverage advanced facilities like MUSE, ALMA, and Hubble Space Telescope data to advance understanding of galaxy evolution processes.

Kate S. Heمشاهده پروفایل

استاد

• Plant ecology
• Biogeography
• Ecological modeling
• +۵ مورد دیگر

Dr. Kate S. He is a Professor of Plant Ecology in the Department of Biological Sciences at Murray State University. Trained under the eminent ecologist Dr. Laszlo Orloci at the University of Western Ontario, she leads research integrating multivariate statistics, GIS, and remote sensing to address pressing questions in biodiversity, invasion biology, and global change. Education: Ph.D. in Statistical Ecology, University of Western Ontario M.S. in Plant Ecology, Northeast Forestry University B.S. in Botany, Northeast Forestry University Research Interests: Dr. He’s work centers on understanding how environmental drivers shape plant communities and biodiversity. She employs advanced statistical and geospatial tools to quantify the impacts of invasive species, anthropogenic disturbance, and climate change on vegetation dynamics across landscapes. Her overarching goal is to inform evidence-based conservation and natural-resource management strategies. Her recent publications reveal a consistent focus on leveraging satellite remote sensing to monitor essential biodiversity variables and to refine species-distribution models. Themes include the integration of hyperspectral data with ecological theory, handling sampling biases in predictive modeling, and assessing ecosystem functions at multiple spatial scales. Scientific Awards: 2013 Best Paper Award, Computers & Geosciences Teaching & Mentoring: Dr. He teaches undergraduate courses such as Biological Concepts , Botany: Plant Form and Function , and Biological Inquiry and Analysis , as well as graduate offerings in Invasion Ecology and Quantitative Ecology in R . While no individual advisees are listed, her role involves mentoring students through these quantitative ecology and invasion-biology courses. Laboratory & Teams: Her research program operates within the Department of Biological Sciences; specific lab names or centers are not detailed in the provided text, but collaborations span an international network of remote-sensing and ecology scientists evidenced by multi-author publications.

Harald Bruneمشاهده پروفایل

استاد

• Quantum Magnetism
• Nanotechnology
• Surface Chemistry
• +۳ مورد دیگر

Harald Brune is a Full Professor at the Swiss Federal Institute of Technology in Lausanne (EPFL) and a Hans Fischer Senior Fellow at the Technical University of Munich’s Institute for Advanced Study (TUM-IAS). His research focuses on atomic-scale engineering of nanostructures and interfaces, particularly in quantum magnetism, catalysis, and low-dimensional materials. Education: Diploma in Physics (LMU Munich, 1989), PhD in Physical Chemistry (Max Planck Institute for Biophysical Chemistry, 1992). Affiliations: Hosted by TUM’s Professors Johannes Barth and Karsten Reuter, leading the Focus Group on Metal-Organic Superlattices of Quantum Magnets. Research Interests: Brune’s work explores nanostructure creation via self-assembly and soft-landing techniques, with applications in quantum magnetism, heterogeneous catalysis, and ultra-high-density data storage. His studies utilize advanced microscopy and spectroscopy methods to analyze magnetic, electronic, and catalytic properties at atomic precision. Publications Overview: Recent work emphasizes single-atom magnets, graphene-based systems, and magnetic anisotropy control. Key contributions include manipulating Fe atoms on MgO for extreme anisotropy and creating ordered superlattices of magnetic atoms on graphene. Awards: Fellow of the American Physical Society (2011), Latsis Prize (1996). Labs & Collaboration: Collaborates with TUM researchers on projects like magnetic remanence in single atoms and Kondo-effect studies. His work bridges surface science with applied nanotechnology for next-generation materials.

• 2D Materials
• Silicon Nanomembranes
• Micro/Nanofabrication
• +۴ مورد دیگر

Houk Jang is a Staff Scientist in the AI Accelerated Nanoscience division at Brookhaven National Laboratory's Center for Functional Nanomaterials. His expertise spans 2D materials, silicon nanomembranes, micro/nanofabrication, and analog neural networks. He leads the QPress initiative, developing autonomous tools for 2D material-stack production and characterization, aiming to automate and accelerate material research for CFN users. Education: B.S. (2010) in Materials Science and Ph.D. (2014) in Nano Engineering, both from Sungkyunkwan University, Korea. Postdoctoral research at Yonsei University and Harvard University. His work focuses on integrating AI with nanomaterials to advance optoelectronics, flexible electronics, and quantum systems. Research highlights include creating graphene-based flexible electronics, developing optical machine vision processors, and pioneering methods for 2D material layer detection. His 2022 Nature Electronics publication demonstrated in-sensor optoelectronic computing using silicon, while 2020 Advanced Materials work introduced atomically thin optoelectronic processors. Publications span over 40 peer-reviewed articles, emphasizing photonics, quantum effects in 2D materials, and neuromorphic devices. His lab collaborates on projects involving terahertz spectroscopy, nanoscale imaging, and bioinspired optical systems. Currently directs nanofabrication efforts and advises on scalable material synthesis techniques. Active in developing high-performance infrared photodetectors and tunable electronic devices leveraging graphene and topological materials.

Enrico Luchinatمشاهده پروفایل

استادیار

• In-cell NMR
• Protein Structure
• Protein Folding
• +۴ مورد دیگر

Enrico Luchinat is a Tenure-track Assistant Professor in the Department of Chemistry at the University of Florence, Italy, where he conducts research at the Magnetic Resonance Center (CERM). He joined the University of Florence in 2024 after serving as a Junior Assistant Professor at the University of Bologna from 2022 to 2024, focusing on advanced NMR methodologies for cellular studies. His educational background includes: B.Sc. in Chemistry (cum laude), University of Florence, 2007 M.Sc. in Chemistry of Biological Molecules (cum laude), University of Florence, 2009 Ph.D. in Mechanistic and Structural Systems Biology, University of Florence, 2013 Luchinat's research pioneers in-cell NMR techniques to investigate protein structure, dynamics, and interactions within living human cells at atomic resolution. His work includes developing isotope-labeling strategies for human cells, creating flow NMR bioreactors for extended cell viability monitoring, and establishing real-time 19F NMR approaches for protein-ligand interaction studies. These innovations enable unprecedented insights into physiological cellular processes without artificial extraction. His publication record reveals consistent advancement in in-cell NMR technology, with recent emphasis on fluorine-based methodologies for drug binding studies and high-throughput screening applications. The research bridges structural biology, medicinal chemistry, and analytical techniques to address fundamental questions in protein behavior within native environments. His scientific recognition includes: GIDRM Under-35 Award (2020) for innovative in-cell NMR approaches With over 45 peer-reviewed publications and 30+ international conference invitations, Luchinat's work has been supported by competitive research grants. He actively mentors early-career researchers in NMR spectroscopy and structural biology techniques, fostering collaborations across biochemical and pharmaceutical domains. Based at CERM in Sesto Fiorentino, he leads a specialized team within the Banci research group focused on pushing the boundaries of in-cell NMR technology. Current efforts center on fluorinated amino acid labeling schemes and real-time monitoring systems for intracellular drug-target engagement studies.

Sean Lindenمشاهده پروفایل

پژوهشگر

• Star Clusters
• HII Regions
• Molecular Gas Structures
• +۷ مورد دیگر

Sean Linden is a Researcher and Peter A. Strittmatter Fellow at the University of Arizona. He holds a PhD in Astronomy from the University of Virginia (2020) and previously worked at the University of Massachusetts Amherst under Dr. Daniela Calzetti. His research focuses on star clusters, HII regions, and their interactions with molecular gas and stellar feedback processes in nearby galaxies, utilizing JWST and multi-wavelength observations. Key interests include studying extreme star-forming environments and their impact on massive cluster evolution across cosmic time. Education: PhD in Astronomy (2020, University of Virginia), Postdoctoral Research at UMass Amherst (2020–2024). Awards include the prestigious Peter A. Strittmatter Fellowship. Research Interests: Star cluster formation and evolution HII region dynamics and feedback mechanisms Multi-scale analysis of molecular gas structures JWST observations of obscured star-forming regions AGN feedback in luminous infrared galaxies Publications Highlight: Recent work emphasizes the use of JWST to uncover embedded star clusters in M83, detect deuterated hydrocarbons in M51, and model AGN coronae through millimeter emission. His studies bridge observational astronomy with theoretical models of galactic evolution. Awards: Peter A. Strittmatter Fellow (University of Arizona) Grants/Advising: While no specific grants are listed, his postdoctoral fellowship supports his research. He collaborates on projects like the FEAST survey and the GOALS-JWST program. Labs/Teams: Active in the CCDG survey and JWST Treasury programs, focusing on cluster demographics and galactic mergers.

Sara Ellisonمشاهده پروفایل

استاد

• Galaxy Evolution
• Astrophysics
• Quasar Absorption Lines
• +۳ مورد دیگر

Sara Ellison is a Professor in the Department of Physics and Astronomy at the University of Victoria. Her research focuses on multi-wavelength studies of galaxies and AGN, QSO absorption lines, and the evolution of galaxies through cosmic time. She leads projects such as the UNIONS survey, analyzing galaxy mergers and their impacts on star formation and AGN activity. Ellison has secured significant grants including NSERC Discovery Accelerator (2007-2010) and CFI infrastructure funding. Her work combines observational data, simulations, and machine learning to explore interstellar/intergalactic media, chemical enrichment, and environmental effects on galaxies. Notable collaborations include the GalNet initiative and the XQ-100 survey, which study neutral gas and metals at high redshift. Ellison’s research has been recognized in awards like the shared 2025 Breakthrough Prize in Physics. Key projects include the MAGPI survey (tracking star formation trends) and the FLASH survey (HI absorption studies). She advises a research group focusing on post-merger galaxies, AGN triggering, and cosmological simulations. Ellison’s contributions span over 150 publications, emphasizing galaxy evolution mechanisms and observational techniques.

Kalliopi Dasyraمشاهده پروفایل

استادیار

• Observational Astrophysics
• Galaxy Evolution
• Black Hole Dynamics
• +۳ مورد دیگر

Kalliopi Dasyra is an Assistant Professor of Observational Astrophysics at the National and Kapodistrian University of Athens, based at the National Observatory of Athens. Her research focuses on galaxy mergers, black hole dynamics, and interstellar medium properties. She has held prior positions at prestigious institutions including the Observatory of Paris, Commissariat à l'Energie Atomique (France), California Institute of Technology (USA), and the Max Planck Institute for Extraterrestrial Physics (Germany). Her academic background includes a PhD from Ludwig Maximilians University of Munich and undergraduate studies at the University of Crete. Key research areas include studying AGN feedback mechanisms, molecular gas dynamics in galactic outflows, and jet interactions with interstellar medium. Current projects are funded by the Hellenic Foundation of Research Innovation. Recent work emphasizes jet-driven phenomena using advanced facilities like JWST and ALMA, focusing on how black hole jets influence star formation and galaxy evolution. Her publications span observational analyses of molecular gas in radio galaxies, AGN torus structures, and redshift-dependent molecular content across cosmic time. Notable contributions include discoveries about CO line excitation in outflow regions and the role of pressure gradients in molecular cloud stability. She has pioneered studies on elusive radio jets in low-luminosity AGN and their impact on galactic-scale processes.

• Microelectromechanical Systems (MEMS)
• Porous Silicon
• Infrared Systems
• +۷ مورد دیگر

Adrian Keating is a Professor in the School of Mechanical Engineering at The University of Western Australia (UWA), specializing in Microelectromechanical Systems (MEMS), porous silicon, and infrared sensors. He holds roles such as Mechatronics Course Advisor and Laser Safety Officer. His career spans over 20 years, including industrial experience at Calient Networks as Fiber Optics Technology Manager, where he developed high-yield MEMS-based products. Dr. Keating earned a Bachelor of Engineering (Honors) from The University of Melbourne and a Ph.D. from Telecom Research Laboratories, focusing on photonic communication networks. His research emphasizes optical sensors, MEMS, and IoT technologies. Notable contributions include patents for fiber-collimator designs and work on MEMS-based infrared sensors. He actively supervises students and leads projects in areas like soil and grain parameter assessment via microspectrometers. Key research interests include porous silicon materials, thermal sensing, and MEMS fabrication. He has secured grants totaling millions, such as the 2004 ARC Discovery Project on MEMS/NEMS technologies. Teaching responsibilities include units like Mechatronic Systems and Engineering Dynamics. Current projects explore infrared thermal imagers, microfluidics, and IoT-enabled beehive monitoring systems. His work aligns with UN Sustainable Development Goals through innovations in agriculture and environmental monitoring. Dr. Keating collaborates internationally, with recent projects in Japan (NTT) and the U.S. (UC Santa Barbara). His lab focuses on developing low-cost, high-performance sensors and imaging systems. Patents and peer-reviewed publications reflect his expertise in optical systems, micromachining, and material science. Future research aims to advance infrared imaging and MEMS-based sensor technologies for industrial and environmental applications.

• Planet Formation
• Protoplanetary Disks
• Radio Interferometry
• +۵ مورد دیگر

Ian Czekala is a Lecturer in the School of Physics and Astronomy at the University of St Andrews, UK. Previously, he served as an Assistant Professor in the Astronomy and Astrophysics Department and Institute for Computational and Data Sciences at Pennsylvania State University (USA). His research focuses on planet formation, protoplanetary disks, and advanced observational techniques such as radio interferometry and machine learning-driven data analysis. He leads the Czekala Group, which develops imaging algorithms for facilities like ALMA. Research interests include: Planet Formation Mechanisms Circumbinary Disk Dynamics High-Resolution Spectroscopic Techniques Statistical Methods in Astrophysics Notable work includes a NRAO press release on planet formation in circumbinary systems and featured research in Penn State's Science Journal. His group maintains an active publication record accessible via their website.

M. Selim Ünlüمشاهده پروفایل

استاد

• Biophotonics
• Nanophotonics
• Biosensors
• +۳ مورد دیگر

M. Selim Ünlü is a Distinguished Professor at Boston University , with primary appointments in the Department of Electrical and Computer Engineering and affiliations with the Division of Materials Science & Engineering , Department of Biomedical Engineering , Department of Physics , and Precision Diagnostics Center . Holding a PhD from the University of Illinois, Urbana-Champaign (1992), his research spans Biophotonics , Nanophotonics , and Biosensors , focusing on biological imaging, semiconductor device analysis, and label-free detection systems. Education : PhD in Electrical and Computer Engineering, University of Illinois, Urbana-Champaign (1992) His work on interferometric reflectance imaging sensors (IRIS) and mid-infrared photothermal microscopy enables single-particle detection of viruses, microorganisms, and biomolecules. He has pioneered disposable fluidic cartridges, dynamic tracking algorithms, and bond-selective imaging techniques. Recent research includes applications for Monkeypox detection, extracellular vesicle profiling, and neuropharmaceutical compound sensing. The 15 most recent articles highlight advancements in label-free biosensors , flat-field imaging , and computational nanosensing , with interdisciplinary applications in virology, diagnostics, and semiconductor metrology. Key subfields include viral fingerprinting, surface chemistry optimization, and AI-enhanced microscopy. Fellow, AIMBE (2020) Fellow, Optica (2017) Fellow, IEEE (2007) NSF CAREER Award (1996) Boston University Innovator of the Year Award (2021) He has served as Editor-in-Chief of the IEEE Journal of Quantum Electronics and held leadership roles in IEEE and Optica. His teaching includes courses on circuits, optics, and advanced topics in electro-physics.

Sebastian Stepanowمشاهده پروفایل

مدرس

• Low-dimensional materials
• Quantum magnetism
• Scanning tunneling microscopy
• +۴ مورد دیگر

Dr. Sebastian Stepanow is a Lecturer at the Department of Materials, ETH Zurich, Switzerland. He leads the scanning tunneling microscopy laboratory within the Magnetism and Interface Physics group, focusing on investigating electronic and magnetic properties of low-dimensional materials, including graphene and single atoms/molecules. His research emphasizes atomic-scale quantum magnetism, charge carrier dynamics in nanoscale systems, and surface science. Education: PhD in Physics (2005, EPFL, Switzerland); Diploma in Physics (2002, Friedrich-Schiller University Jena, Germany). Career highlights include Senior Scientist (ETH Zurich, 2013–present), Group Leader at Max-Planck Institute for Solid State Research (2008–2013), and postdoctoral positions in Barcelona and Stuttgart. Research interests span nanoscale materials characterization, magnetic phenomena in confined systems, and advanced STM techniques. His work bridges quantum mechanics and materials engineering, with applications in nanotechnology and spintronics. Publications highlight studies on graphene intercalation, single-atom magnets, and paramagnetic resonance. His lab develops cutting-edge instrumentation for high-resolution magnetic and electronic measurements.

Sonia Martín Lópezمشاهده پروفایل

دانشیار

• Photonics Engineering
• Optical Fiber Sensing
• Distributed Acoustic Sensing
• +۳ مورد دیگر

Sonia Martín López is an Associate Professor in the Department of Electronics Technology at the Universidad de Alcalá, Spain. She leads the GRIFO (Photonics Engineering Group) research team and is the Researcher in Charge of the CSIC (Spanish National Research Council) Associate Unit of Sensors and Photonic Technology. Her expertise lies in advanced photonics and optical fiber sensing technologies, with a focus on distributed sensing systems for structural, environmental, and geophysical applications. Educated at the Universidad Complutense de Madrid, she earned a PhD in 2006 with a thesis on optical fiber supercontinuum generation. Her research emphasizes innovations in phase-sensitive OTDR (optical time-domain reflectometry), dual-comb spectroscopy, and high-resolution fiber optic sensing for applications like seismic monitoring, underwater acoustics, and climate change observation. Her recent work includes breakthroughs in time-expanded sensing techniques, submarine fiber networks for climate studies, and sensor systems for infrastructure integrity. Sonia actively contributes to international collaborations, leveraging optical fiber infrastructure to address global environmental and engineering challenges. Her lab, GRIFO, develops cutting-edge technologies such as millimeter-resolution fiber sensors and hybrid machine learning models for threat detection in smart surveillance systems. Her publications span high-impact journals and conferences, focusing on advancing the stability, resolution, and applicability of fiber optic sensing methods.