جستجوی استاد راهنمای دانشگاهی

Ahmet Coskunمشاهده پروفایل

استادیار

• Spatial Biology
• Single Cell Biotechnology
• Spatial Omics
• +۹ مورد دیگر

Dr. Ahmet Coskun is an Assistant Professor of Biomedical Engineering at Georgia Institute of Technology and Emory University, where he holds the Bernie-Marcus Early-Career Professorship. He directs the Single Cell Biotechnology and Spatial Omics Laboratory, an interdisciplinary program focused on multiparameter imaging of single cells within their spatial context. His work bridges the fields of bioengineering, computational biology, and systems biology to address fundamental challenges in cancers, immunology, and pediatric diseases. Dr. Coskun received his PhD from the University of California, Los Angeles (UCLA) working with Aydogan Ozcan. He completed postdoctoral training at the California Institute of Technology with Long Cai and served as an Instructor at Stanford University with Garry Nolan. His educational background has provided him with a strong foundation in both engineering principles and biological systems. Dr. Coskun's research lies at the nexus of multiplex bioimaging, microfluidic biodynamics, and big data biocomputation. His laboratory pursues three main research thrusts: spatial genomics (using seqFISH and correlation FISH methods), spatial proteomics (using CODEX technology combined with super-resolution imaging), and spatial metabolomics (using computational and isotope barcoding approaches with MIBI). His team develops machine learning algorithms to analyze the resulting high-dimensional imaging datasets, creating image-based 'omic technologies to reveal the spatial nature of biological systems. Their work has significant implications for understanding therapeutic response variability and cellular organization in health and disease. NSF CAREER Award 2024 NIH R35 MIRA Award 2023 BMES-CMBE Rising Star Award 2023 American Lung Association Innovation Award 2022 Student Recognition of Excellence in Teaching: Class of 1934 CIOS Award NIH K25 Award Burroughs Wellcome Fund CASI Award Dr. Coskun leads an interdisciplinary research team comprising PhD students from Bioengineering, Electrical and Computer Engineering, Mechanical Engineering, and Biomedical Engineering programs. His lab has been supported by numerous federal and private grants, including funding from multiple NIH institutes (NIA, NIAID, NCI, NIDCR, OD, and ORIP), Wellcome LEAP, Burroughs Wellcome Fund, NSF CMaT, American Cancer Society IRG, Multi-cellular engineered living systems (M-CELS), and Regenerative Medicine Center. In addition to his research, Dr. Coskun leads outreach programs through BioCrowd Studio, which engages K12 and undergraduate students through interactive virtual media and distributed biokits. The Single Cell Biotechnology and Spatial Omics Laboratory is strategically positioned at the forefront of spatial biology research. The lab benefits from advanced technologies including super-resolution microscopy, imaging mass spectrometry, combinatorial molecular barcoding, and machine learning to enhance the information capacity of cellular data. The team's innovative approaches to spatial multi-omics profiling have positioned them as leaders in understanding cellular heterogeneity and organization within tissues.

• Radio Astronomy
• Astrophysics
• Black Hole Imaging
• +۳ مورد دیگر

John Conway is a Professor of Radio Astronomy at Chalmers University of Technology , serving as Director of Onsala Space Observatory . His work spans multiple domains in observational astrophysics, focusing on: High-resolution VLBI imaging of black holes and AGN Instrumentation development for submillimeter telescopes Multiwavelength studies of M87 and Sgr A* black holes Large-scale radio surveys with LOFAR and SKA technologies As a key member of the Event Horizon Telescope collaboration, he contributes to polarization analysis and magnetic field studies around supermassive black holes. His instrumentation projects include work on the Onsala Twin Telescopes and SKA data stacking techniques. Current research involves black hole shadow characterization , jet dynamics , and machine learning applications for radio source detection. He collaborates extensively with international teams across projects like ALMA, LOFAR, and APEX.

• Color Vision
• Visual Perception
• Psychophysics
• +۳ مورد دیگر

Dr. Israel Abramov is a Professor of Psychology at Brooklyn College and holds joint appointments at the CUNY Graduate Center in Cognition, Brain and Behavior and Biopsychology and Behavioral Neuroscience . His research focuses on color vision , visual perception , and infant visual development , with significant contributions to understanding gender differences in vision , retinal ganglion cell properties , and applications in museum lighting . Key educational milestones include an LL.B. in Law (1959) and B.A. in Psychology (1961) from University College London, followed by a Ph.D. in Physiological Psychology (1967) from Indiana University Bloomington. His academic career spans postdoctoral work in biophysics at Johns Hopkins and faculty roles at Rockefeller University and Brooklyn College since 1973. His 15 most recent articles (2012-2003) reveal a focus on color vision mechanisms , peripheral retinal function , and visual developmental disorders like Down Syndrome. Collaborative work with J. Gordon and others explores museum lighting optimization , infant ocular motor control , and chromatic adaptation in both healthy and clinical populations. Lab affiliations include interdisciplinary collaborations with CUNY Graduate Center researchers and institutions like SUNY College of Optometry . While no formal scientific awards are documented in the provided text, his publications in high-impact journals and book chapters underscore his influence in visual neuroscience.

• Historical Climatology
• Climate Dynamics
• Atmospheric Circulation Reconstruction
• +۴ مورد دیگر

Prof. Dr. Stefan Brönnimann serves as a Professor and Unit Leader of Climatology at the Institute of Geography, University of Bern. His extensive research portfolio spans historical climatology, climate dynamics, and atmospheric circulation reconstruction, with particular focus on the past 400 years. He plays a leadership role in major international climate initiatives including the IPCC assessment reports and various climate reanalysis projects. Brönnimann's research centers on reconstructing historical weather and climate patterns through the innovative combination of early instrumental data, proxy records, and climate models. His work examines large-scale climate variability, interannual-to-decadal atmospheric circulation patterns, volcanic eruption effects on climate, and climate-society interactions. His methodologies often involve transforming historical documents into usable climate datasets and applying advanced machine learning techniques to weather reconstruction challenges. Recent publications reveal a strong emphasis on European climate patterns, hydroclimate extremes, and the development of novel datasets and tools for climate research across high-impact journals in climate science, paleoclimatology, and climate informatics. Notable scientific achievements include: Lead author for Chapter 2 of the IPCC Working Group I 5th Assessment Report President of the Commission 'Atmospheric Chemistry and Physics' (ACP) of sc.nat Editorial leadership for multiple prestigious journals including Meteorologische Zeitschrift, Climate of the Past, and Geographica Bernensia Leadership roles at the Oeschger Centre for Climate Change Research Active participation in international initiatives like the Twentieth Century Reanalysis Project and Atmospheric Circulation Reconstructions over the Earth (ACRE) Brönnimann has secured substantial funding through numerous national and international projects including SNF, NCCR Climate, EU FP-7, HORIZON2020, COST, and ERAnet.RUS. He has organized multiple international workshops on weather and climate extremes, atmospheric circulation variability, and historical climate events like the Tambora eruption. His work connects closely with the Oeschger Centre for Climate Change Research at the University of Bern, where he leads Work Package 2 and serves on the Steering Group, demonstrating his significant institutional leadership within Bern's climate research community.

Virginia Lorenzمشاهده پروفایل

استاد

• Quantum Optics
• Atomic and Molecular Spectroscopy
• Optical Magnetometry
• +۶ مورد دیگر

Professor Virginia Lorenz is a faculty member at the University of Illinois at Urbana-Champaign's Department of Physics, where she focuses on experimental quantum optics, atomic and molecular spectroscopy, and optical magnetometry. She previously held positions at the University of Delaware (2009–2014) and the University of Oxford (2007–2009). Her research group has pioneered advancements in quantum networks, including launching the first publicly accessible quantum network in 2023, and developing efficient methods for photon-pair generation and quantum state characterization. Her work spans quantum memory optimization, photonic quantum state engineering, and quantum sensing of astronomical objects. Using ultrashort laser pulses, her team explores quantum estimation theory and table-top experiments to understand imaging limitations and potential quantum advantages in interferometric astronomy. Key contributions include broadband Λ-type quantum memory protocols and novel techniques for capturing joint spectral density of photon pairs via stimulated emission, enabling faster and higher-resolution analysis of quantum states. Professor Lorenz's research has been supported by the National Science Foundation and Department of Energy. She received the Dean's Award for Excellence in Research (2020). Her publications span journals like Advances in Atomic, Molecular, and Optical Physics , Physical Review A , Nature Nanotechnology , and Optica , with a focus on quantum information, nonlinear optics, and spintronics. Collaborations include Paul Kwiat and international partners in quantum network development. Dean's Award for Excellence in Research (2020) NSF and DOE funding The Lorenz research group has mentored students like Kai Shinbrough, Bin Fang, and Halise Celik, with former students defending theses on topics ranging from spin-orbit torque measurements to photonic quantum state manipulation. Lab renovations at UIUC in 2015 expanded facilities for quantum optics experiments, including fiber-based photon-pair sources and ensemble quantum memory studies.

Al-Hafeez Z Dhallaمشاهده پروفایل

استادیار

• Biomedical Optics
• Optical Coherence Tomography
• Scanning Laser Ophthalmoscopy
• +۶ مورد دیگر

Al-Hafeez Z Dhalla serves as an Assistant Research Professor in the Department of Biomedical Engineering at Duke University and is a Faculty Network Member of the Duke Institute for Brain Sciences. His academic appointment reflects his engineering expertise in translating optical technologies to clinical ophthalmology applications. He earned his Ph.D. from Duke University in 2012, establishing a foundation for his specialized work in biomedical optics. This educational trajectory directly informs his current research and teaching activities within the university's engineering framework. Dr. Dhalla's research program centers on developing optical coherence tomography (OCT), scanning laser ophthalmoscopy (SLO), and LiDAR systems for non-invasive, high-resolution biological tissue imaging. His laboratory specifically targets ophthalmic disease diagnosis and treatment, with strong emphasis on engineering novel instrumentation for image-guided surgery and robotic microsurgery. A critical aspect of his work involves preparing these technologies for commercialization through rigorous clinical validation and regulatory approval processes, bridging the gap between engineering innovation and medical practice. His publication portfolio demonstrates consistent advancement in optical imaging technologies, particularly handheld OCT devices, real-time volumetric surgical imaging, and adaptive optics for photoreceptor visualization. The research exhibits a clear trajectory from fundamental optical engineering toward clinical implementation, with recurring themes of enhancing surgical precision through robotic integration and improving diagnostic capabilities via novel scanning methodologies. Within the educational sphere, Dr. Dhalla teaches multiple courses including BME 791 (Graduate Independent Study), BME 590 (Special Topics), BME 494/493 (Projects in Biomedical Engineering), and BME 436L (Biophotonic Instrumentation), directly connecting his research expertise to student training in optical instrumentation and biomedical device development.

Mohsen Rahmaniمشاهده پروفایل

استاد

• Nano-materials
• Nonlinear nano-photonics
• Optical nano-sensing
• +۳ مورد دیگر

Mohsen Rahmani is a Distinguished Professor at Nottingham Trent University's School of Science & Technology, where he serves as the Leader of the Advanced Optics and Photonics (AOP) Laboratory. He holds prestigious fellowships including the Royal Society Wolfson Fellowship and UK Research and Innovation Future Leaders Fellowship, and has been recognized as an IEEE Nanotechnology Council Distinguished Lecturer (2024) and The Royal Society Yusuf Hamied Visiting Fellow (2024). His educational background includes a PhD from the National University of Singapore (2009-2013), MSc from National Technical University of Ukraine (2007-2009), and BEng from Iran Azad University (2000-2004). Prior to joining NTU, he held positions at Australian National University (2016-2020) and Imperial College London (2013-2015). Rahmani's research focuses on Nano-materials (design, modeling, and fabrication of metallic, dielectric, and semiconductor nanoparticles), Nonlinear nano-photonics (all-optical conversation of light frequencies for NIR imaging, night-vision, and species' health detection), and Optical nano-sensing (ultrasensitive nano-scale materials for gas/liquid detection of low concentration substances/biomarkers). His work bridges fundamental physics with practical applications in imaging, sensing, and communications. His 15 most recent publications (2022-2024) demonstrate a strong focus on metasurfaces, nonlinear optics, and infrared imaging technologies. Key themes include bound states in the continuum, frequency conversion, silicon photonics, and applications in biomedical diagnostics and wireless communications. His research shows a clear trajectory toward practical implementations of nanophotonic technologies for real-world problems. Outstanding Editor Award, Opto-Electronic Advances (2020) Eureka Prize for Outstanding Early Careers (2018) Australian Optical Society Geoff Opat Early Career Researcher Prize (2018) Australian National University Vice Chancellor's Award (2018) Young Scientist Medal and Prize from IUPAP (2017) Royal Society Wolfson Fellowship UKRI Future Leaders Fellowship (£1.2 million) Rahmani has secured significant research funding from The UK Research and Innovation, The Royal Society, and The Australian Research Council. At NTU, he built the Advanced Optics and Photonics Lab from scratch, attracting outstanding scientists and students to work on ambitious projects including nano-particle based disease detection systems and technologies to reduce light pollution. His editorial roles include Associate Editor of Opto-Electronic Advances (2018-present) and past Guest Editor for Nanomaterials (2020-2022). Through the AOP Lab (www.aoplab.com), Rahmani leads a dynamic research team focused on developing transformative nanophotonic technologies. His lab's work spans fundamental research on light-matter interactions at the nanoscale to applied projects with potential commercial impact, particularly in medical diagnostics and energy-efficient imaging technologies.

• X-ray astronomy
• Galaxy clusters
• Inverse Compton scattering
• +۱۰ مورد دیگر

Dan Wik is an Associate Professor in the Department of Physics & Astronomy at the University of Utah . His research focuses on observational X-ray astronomy, particularly galaxy clusters, inverse Compton scattering, X-ray binaries, and the X-ray background. He has extensive experience in data calibration, analysis tool development, and mission collaborations such as NuSTAR, Chandra, and XRISM. Wik holds a PhD in Astronomy from the University of Virginia (2010) and a BS in Astrophysics from Ohio University . His research interests span galaxy cluster mergers, nonthermal emission processes, high-energy astrophysics, and cross-calibration studies between X-ray observatories. Recent articles highlight his work on NuSTAR observations of galaxy clusters, X-ray binary populations in M31 and M33, inverse Compton emission constraints, and stray light background analysis techniques. His studies often integrate multiwavelength data and address cosmological implications of X-ray observations. Wik has received multiple grants from NASA for projects like Time Domain X-ray Studies of AGN and Hard Bandpass Extension of XRISM Cluster Observations . He supervises undergraduate and graduate researchers and teaches courses from general education to advanced graduate levels, including Foundations of Astronomy and High Energy Astrophysics .

• Image Processing
• Machine Learning
• Artificial Intelligence
• +۷ مورد دیگر

Dilip K. Prasad is a Professor at the Department of Informatics, UiT The Arctic University of Norway. His work bridges Artificial Intelligence and Medical Imaging , with a focus on Interpretable AI , Scalable AI , and Life Science Applications . He has contributed to Maritime Technology and Biomedical Engineering . Ph.D. and B.Tech from Nanyang Technological University and IIT Dhanbad Senior Research Fellow at NTU (2015-2019), Research Fellow at NUS (2012-2015) Industry experience at IBM, Infosys, Mediatek, Philips His research explores Image Processing , Machine Learning , and AI Applications in Biomedicine . Recent work includes Dense Video Captioning , 3D Mitochondrial Modeling , and Physics-Guided Loss Functions . Articles span Neurocomputing , Optics Express , and top AI conferences like CVPR and NeurIPS . Prasad has received the Rolls-Royce Inventor Award (2016) and Best Paper Award (IJCIE 2017) . He has reviewed for 50+ journals and 30+ conferences, serving as Area Chair for NeurIPS 2022-23 and Organizer Chair for ICCV Workshop 2023 .

Isaac Kauvarمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Photonics
• Neurotechnology
• +۳ مورد دیگر

Isaac Kauvar is a Postdoctoral Fellow at the Department of Electrical Engineering, School of Engineering, Stanford University. He holds a B.S. in Engineering Physics specializing in Photonics, an M.S. in Electrical Engineering focusing on Imaging and Optimization, and is currently pursuing a PhD in Electrical Engineering under the co-advisement of Prof. Gordon Wetzstein. Education B.S. Engineering Physics, Stanford M.S. Electrical Engineering, Stanford His research bridges Neuroscience, Photonics, and Computational Modeling to develop advanced imaging and neural activity measurement technologies. Key contributions include optical brain-computer interfaces, light-field microscopy innovations, and neural circuit analysis across species. Recent publications highlight work in cortical imaging, emotional response modeling, and neurotechnology development. His expertise spans optical systems design, neural dynamics analysis, and brain state modulation. Contact: ikauvar@stanford.edu

• Radiation Detection for Nuclear Nonproliferation
• Fission Fragment Measurement
• Muon Imaging
• +۷ مورد دیگر

Adam Hecht is a Professor in the Department of Nuclear Engineering at the University of New Mexico since 2008. He holds a Ph.D. in Physics (Yale University, 2004) and has led multidisciplinary research in radiation detection, nuclear nonproliferation, and detector development. His educational background includes Ph.D., M.Phil., and M.S. in Physics from Yale University (2001-2004) and a B.S. in Physics from the University of California, Irvine (1997). Ph.D. in Physics (Yale, 2004) M.Phil. in Physics (Yale, 2001) M.S. in Physics (Yale, 1999) B.S. in Physics (UC Irvine, 1997) His research focuses on Radiation Detection for nuclear nonproliferation, Fission Fragment Measurement via spectrometers at LANSCE, Muon Imaging for spent fuel casks, and Novel Detector Development (perovskites, AlSb semiconductors). He directs the Radiation Research and Detector Development (R2D2) Laboratory , collaborates with LANL/INL, and advises UNM's Institute of Nuclear Materials Management (INMM) student group. Key article trends show expertise in Muon Tomography (2025), Neuromorphic Computing for radiation detection (2024), AlSb Semiconductor Detectors (2016), and Fission Data Analysis (2015-2022). His work spans Physics of Atomic Nuclei , Nuclear Instruments and Methods , and Environmental Geochemistry . Awards include the J.W. Gibbs Fellowship (Yale, 1997-1998). Students advised include Daniel Poulson (Muon Imaging), Richard Blakeley (Fission Spectrometer), Erin Vaughan (AlSb Detectors), and Joseph Morris (Refractive Index Analysis). Collaborations with electrical engineering, Portland State University, and LANL/INL are frequent.

• Condensed Matter Physics
• Biophysics
• Nanotechnology
• +۲ مورد دیگر

Professor Kislon Voitchovsky is the Head of Condensed Matter Physics and a Professor in the Department of Physics at Durham University, where he is also affiliated with the Biophysical Sciences Institute. His research bridges condensed matter physics, biophysics, and nanotechnology, focusing on nanoscale phenomena at biological and synthetic interfaces. Research Interests: Voitchovsky's work explores the molecular-scale behavior of complex systems, including lipid membranes, nanoparticle interactions, ionic dynamics at solid-liquid interfaces, and advanced atomic force microscopy (AFM) techniques. His group studies hydration landscapes, nanomechanical properties, and electrokinetic processes to understand fundamental interfacial science with applications in biomedicine, energy, and materials design. Recent Publications: His 2023-2025 publications emphasize nanoscale mapping of hydration, ionic ordering, lipid membrane mechanics, and nanoparticle-biomembrane interactions. These works demonstrate consistent innovation in high-resolution AFM methodologies and molecular dynamics simulations to probe interfacial phenomena in biological and environmental contexts. Supervision: He currently mentors five PhD students: Amal Alamri, Ke Sun, Michael Rennick, Ruth McTiernan, and Thomas Williamson. Labs & Teams: As Head of Condensed Matter Physics, Voitchovsky leads a research group specializing in nanoscale characterization, leveraging AFM and computational tools to study soft matter and biological interfaces.

Shilin Zhaoمشاهده پروفایل

استادیار

• Artificial Intelligence in Digital Pathology
• Spatial Transcriptomics Analysis
• Kidney Disease Morphomics
• +۴ مورد دیگر

Shilin Zhao is an Assistant Professor of Biostatistics at Vanderbilt University Medical Center, specializing in artificial intelligence applications for digital pathology and multi-omics integration. His work bridges computational methodology development with clinical pathology to address challenges in kidney disease, gut microbiome research, and metabolic disorders. Education PhD in Bioinformatics, Shanghai Institutes for Biological Sciences Research Focus Dr. Zhao's research centers on AI-driven pathology and spatial omics , with primary emphasis on: Glomerular and kidney layer segmentation using cross-species data integration Foundation model assessment for cell nuclei analysis in renal histopathology Multi-omics approaches to colitis, atherosclerosis, and metabolic diseases Development of graph networks for spatial transcriptomics prediction His methodologies frequently combine deep learning with biostatistical rigor to translate computational insights into clinical pathology applications. Publication Trends Dr. Zhao's 2025 publications demonstrate intense focus on AI pathology tools (14/15 articles), particularly glomerular analysis and spatial transcriptomics. Key themes include cross-species model adaptation (GLAM), multi-level attention networks (MagNet), and clinical validation of AI foundation models in kidney pathology. His work consistently targets diagnostic precision through computational innovation. Scientific Recognition No specific awards or honors were documented in the provided materials. Academic Contributions While student advising details are unavailable, Dr. Zhao actively contributes to methodological advances in biostatistics through high-impact publications. His involvement in the KPIS 2024 challenge indicates leadership in establishing glomerular segmentation benchmarks for the pathology AI community. Research Environment As primary faculty in Vanderbilt's Department of Biostatistics, Dr. Zhao likely collaborates with institutional resources including the Vanderbilt Biostatistics Data Coordinating Center (VBDCC) and Vanderbilt Technologies for Advanced Genomics Analysis and Research Design (VANGARD), though specific affiliations aren't explicitly stated.

Robin T. Garrodمشاهده پروفایل

استاد

• Astrochemistry
• Interstellar Chemistry
• Chemical Kinetics
• +۳ مورد دیگر

Robin T. Garrod is a Professor in the Department of Astronomy and Department of Chemistry at the University of Virginia. His research focuses on computational astrochemistry, particularly chemical kinetics in interstellar, cometary, and protostellar environments. Developed the MAGICKAL code for grain-surface and ice-mantle chemistry Lead studies on comet Hale-Bopp's chemical evolution (Willis et al. 2024) Co-investigator in JWST and ALMA-based astrochemical investigations Garrod's work emphasizes solid-phase processes over astronomical timescales, combining chemical modeling with observational data from facilities like ALMA and JWST. His research explores complex organic molecule (COM) formation in comets, hot cores, and molecular clouds, revealing connections between interstellar and solar system chemistry. Recent publications examine COM inheritance in comets, ice chemistry in prestellar cores, and JWST-driven ice mapping. The Garrod group collaborates with astronomical observers to interpret molecular abundances and emission spectra, particularly in chemically-rich environments like Orion KL and Sgr B2.

Kayla Nguyenمشاهده پروفایل

استادیار

• Electron Microscopy
• Ptychography
• Magnetism
• +۳ مورد دیگر

Kayla Nguyen is an Assistant Professor in the Department of Physics at the University of Oregon, affiliated with the College of Arts and Sciences. Her research focuses on advancing electron microscopy techniques, particularly ptychography, to study magnetism, topology, and material properties at the angstrom scale. She leads the kxnlab , which develops innovative imaging methods for topological materials, magnetic textures, and nanoscale systems. Key research interests include high-resolution imaging beyond diffraction limits, cryo-electron microscopy for biological specimens, and quantitative analysis of magnetic materials using 4D-STEM and Lorentz microscopy. Her work integrates computational approaches with experimental techniques to address challenges in material characterization and structural analysis. Nguyen’s publications highlight advancements in ptychography, sub-angstrom resolution, and imaging chiral magnetic systems. Her research often bridges fundamental physics with applications in nanotechnology, materials science, and art conservation (e.g., analyzing pigments in historical artworks). Advising and grants: While specific grant details are not listed, her research aligns with cutting-edge microscopy and materials science initiatives. She mentors graduate students in experimental and theoretical projects related to her lab’s focus areas. Labs/teams: The kxnlab collaborates with interdisciplinary groups to pioneer microscopy innovations, including air-compatible electron microscopy and pixel array detector technologies.