جستجوی استاد راهنمای دانشگاهی

Paras N. Prasad is a SUNY Distinguished Professor with joint appointments in Physics, Chemistry, Medicine, and Electrical Engineering at the University at Buffalo. He serves as Executive Director of the Institute for Lasers, Photonics and Biophotonics (ILPB), which he founded in 1999. Dr. Prasad holds the Samuel P. Capen Chair of Chemistry and has pioneered interdisciplinary research at the interface of photonics, nanotechnology, and biomedicine. Education: BSc, Bihar University, India (1964) MSc, Bihar University, India (1966) PhD, University of Pennsylvania (1971) Postdoctoral Fellow, University of Michigan (1971-74) Research Focus: Dr. Prasad's multidisciplinary research spans photonics, nanophotonics, and biophotonics, with emphasis on nonlinear optical processes in nanostructured materials. His work develops photonic technologies for information processing, medical imaging, and cancer therapy through nanoparticle-based drug delivery systems and diagnostic platforms. The ILPB laboratory features state-of-the-art instrumentation for advanced optical research. Publication Trends: Recent articles demonstrate strong focus on nanomedicine applications, particularly cancer theranostics using functional nanoparticles. Key themes include drug delivery systems, chiral photonic materials, bioimaging technologies, and nanoparticle synthesis techniques. The research consistently bridges fundamental materials science with translational medical applications. Honors and Awards: SPIE Gold Medal (2016) IEEE Photonics Society William Streifer Award (2021) American Chemical Society Peter Debye Award (2018) OSA Michael Feld Biophotonics Award (2017) IEEE Pioneer Award in Nanotechnology (2017) Fellow of National Academy of Inventors (2016) Guggenheim Fellowship (1997) Leadership: As ILPB Executive Director, Dr. Prasad leads multidisciplinary teams developing photonic technologies with applications in healthcare, energy, and communications. His research has generated nine spin-off companies, including Nanobiotix currently in advanced cancer therapy trials.

• Photonics
• Nanophotonics
• Biophotonics
• +۴ مورد دیگر

Ragib Hasan is a Professor in the Department of Computer Science at the University of Alabama at Birmingham (UAB), affiliated with the College of Arts and Sciences. His research focuses on cybersecurity, with specialties in cloud security, IoT systems, digital forensics, and biomedical device security. He leads the Secure and Trustworthy Computing Lab (SECRETLab) and contributes to the UAB Center for Cyber Security and NIST Cloud Forensics Working Group. Education: M.S. and Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign, followed by a postdoctoral fellowship at Johns Hopkins University. Affiliations: NIST Cloud Forensics Working Group, UAB Center for Cyber Security. His research addresses threats in smart cities, autonomous vehicles, and healthcare technologies. Key interests include securing IoT networks, mitigating cyberattacks on critical infrastructure, and advancing forensic methodologies in cloud environments. Recent work emphasizes threat modeling for connected vehicles, medical devices, and AI-driven systems. Dr. Hasan’s funding comes from the Department of Homeland Security, NSF, ONR, and industry partners like Facebook, Google, and Amazon. His awards include the NSF CAREER Award (2014), Google RISE Award (2013), and Deutsche-Welle Best of Blogs (2014) for his BanglaBraille initiative. Grants & Projects: Supported by DHS, NSF, and corporate collaborations. Outreach: Founded Wikimedia Bangladesh, Shikkhok.com (STEM education platform), and contributed to Bangla and English Wikipedia. His lab develops frameworks like StreetBit for pedestrian safety and InSight for emergency alert systems, integrating Bluetooth beacon technology to enhance urban security and sustainability.

• Cybersecurity
• Cloud Security
• Internet of Things (IoT) Security
• +۸ مورد دیگر

Essa Yacoub is a Professor in the Department of Radiology at the University of Minnesota, affiliated with the PhD Program in Medical Physics and the Center for Magnetic Resonance Research. His work focuses on advancing MRI and fMRI technologies, particularly at ultrahigh magnetic fields (e.g., 10.5 T), to achieve unprecedented spatial and temporal resolution in brain imaging. He leads projects in RF coil design, noise reduction algorithms, and developmental neuroimaging. Roles: Professor, Medical Physics Program Faculty Affiliations: Center for Magnetic Resonance Research, Department of Radiology Research emphasizes high-resolution fMRI applications, including layer-specific brain mapping, pediatric neurodevelopment studies (e.g., Baby Connectome Project), and translational tools like BIBSNet for infant brain segmentation. His innovations bridge hardware engineering (RF coils) and software (denoising pipelines) to tackle challenges in mesoscopic-scale imaging. Key contributions include optimizing imaging protocols at 7T/10.5T, developing NORDIC denoising for submillimeter data, and advancing understanding of brain networks in aging and neurological disorders. His work is foundational for large-scale initiatives like the Human Connectome Project and non-human primate neuroimaging collaborations. Grants and collaborations focus on translational imaging technologies, while educational contributions include training through the Medical Physics PhD Program. Ongoing efforts aim to refine ultra-high field MRI applications for clinical and basic neuroscience research.

• Medical Physics
• Neuroimaging
• Biomedical Engineering
• +۶ مورد دیگر

Kirk Roberts, PhD, is an Associate Professor in the Department of Health Data Science and Artificial Intelligence at the McWilliams School of Biomedical Informatics, UTHealth Houston. He specializes in Natural Language Processing (NLP), with a focus on clinical information extraction, spatial information extraction, and medical information retrieval. His work bridges computer science, medicine, linguistics, and machine learning to improve accessibility and usability of biomedical data. Education: PhD (2013) and MS (2009) in Computer Science from the University of Texas at Dallas; BS (2005) in Computer Science from Georgia Institute of Technology. Research emphasizes NLP applications for healthcare, including question-answering systems, EHR analysis, and spatial relation extraction. He leads the TREC Clinical Decision Support track and has been recognized with a National Library of Medicine Career Development Award. His contributions span over 20 peer-reviewed publications in journals like JAMIA and conferences such as ACL and AMIA. Key areas include: advancing clinical decision support via NLP, optimizing biomedical literature retrieval, and improving health data dissemination through natural language systems.

• Natural Language Processing
• Question Answering
• Clinical Information Extraction
• +۴ مورد دیگر

Dr. Teresa Puthussery is an Associate Professor in the School of Optometry & Vision Science at the University of California, Berkeley. Her research focuses on retinal neurobiology and neurophysiology, investigating how visual signals are encoded in healthy retinas and disrupted during degeneration. She uses advanced techniques like patch-clamp electrophysiology, immunohistochemistry, and microscopy to study retinal circuits, neurotransmitter receptors, and ion channels. Dr. Puthussery teaches courses on vision science anatomy, physiology, and problem-based learning, including VISION SCIENCE 206B/C and 260C. Her research explores questions such as how retinal neurons extract motion/spatial details, how photoreceptor mutations cause degeneration, and how inner retinal circuits adapt post-photoreceptor loss. Recent work includes studies on ON-type direction-selective ganglion cells, optogenetic therapy for vision restoration, and calcium dynamics in foveal ganglion cells post-degeneration. She collaborates on projects involving primate and rodent models, contributing to understanding retinal disease mechanisms and therapeutic targets. Dr. Puthussery’s lab (retinalab.berkeley.edu) emphasizes translational research, bridging basic science and clinical applications. Her work has been published in journals like Nature and Cell Reports , with a focus on retinal degeneration, synaptic plasticity, and optogenetic interventions. She actively participates in training future vision scientists through Berkeley’s Optometry program and oversees GSI affairs as a faculty advisor.

• Retinal Neurobiology
• Neurophysiology
• Retinal Degeneration
• +۳ مورد دیگر

Hatice Altug is a Full Professor at EPFL's Institute of Bioengineering within the School of Engineering, where she leads the Bionanophotonic Systems Laboratory. Her research integrates nanophotonics, plasmonics, and microfluidics to develop advanced biosensors for real-time molecular diagnostics. She holds dual roles in EPFL's doctoral programs and academic committees. Education: PhD in Applied Physics, Stanford University (2000-2007) B.S. in Physics, Bilkent University (1996-2000) Her research centers on creating label-free, high-sensitivity optical biosensors using nanophotonic technologies. Key innovations include dielectric metasurfaces for mid-infrared spectroscopy, AI-enhanced detection platforms, and portable nanoplasmonic imagers for point-of-care diagnostics. Her work bridges fundamental light-matter interactions with clinical applications like sepsis monitoring and cancer biomarker detection. Her publications emphasize nanophotonic biosensor design, metasurface applications, and single-cell analysis. Recent trends show increased focus on AI integration, vibrational spectroscopy, and wafer-scale manufacturing for clinical translation. Awards & Honors: Optical Society Fellow (2020) Presidential Early Career Award (PECASE, 2011) ERC Consolidator Grant (2016) IEEE Photonics Society Young Investigator Award (2011) She mentors numerous PhD students and leads interdisciplinary teams developing optofluidic platforms. Her laboratory pioneers nanoplasmonic microarrays and collaborates globally on projects like neurodegenerative disease biomarker detection. She co-directs EPFL's doctoral program in photonics and champions women in STEM through executive roles in diversity initiatives.

• Nanophotonics
• Plasmonics
• Optical Biosensors
• +۴ مورد دیگر

Christoph Merten is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering and the Biomedical Microfluidics Laboratory (LBMM). He is also involved in teaching within the School of Life Sciences (SV) and serves on the doctoral program committee for Biotechnology and Biological Engineering. Biomedical Microfluidics Laboratory (LBMM) School of Engineering (STI) School of Life Sciences (SV) Doctoral Program Committee (Biotechnology and Biological Engineering) His research focuses on biomedical microfluidics, bioinstrumentation, and the application of microdroplet technology for single-cell analysis. Teaching activities include courses on scientific literature analysis in bioengineering, entrepreneurship in life sciences, and practical bioinstrumentation fundamentals. Scientific literature analysis in bioengineering Entrepreneurship in life sciences Basics in bioinstrumentation Christoph Merten supervises doctoral students and has guided EPFL theses in areas related to bioengineering and microfluidics.

• Bioengineering
• Biomedical Engineering
• Microfluidics
• +۳ مورد دیگر

Vicente Grau Colomer is a Professor of Engineering Science and Biomedical Image Analysis at the University of Oxford, affiliated with the Institute of Biomedical Engineering. He serves as Director of the Centre for Doctoral Training in Healthcare Innovation and a Professorial Fellow at Mansfield College. His work bridges biomedical engineering, medical imaging, and artificial intelligence. Education: PhD in medical image analysis from Universidad Politécnica de Valencia, Spain. Postdoctoral research at Harvard University and LSU Health Sciences Center. Joined Oxford in 2004, awarded full professorship in 2015. Research focuses on medical image analysis, AI-driven diagnostics, and collaborations between academia, industry, and clinicians. Notable tools include the MSP-tracker software for cellular analysis and advancements in bone marrow fibrosis quantification. Recent articles highlight interdisciplinary efforts in AI applications, MPN pathophysiology, and biomedical software development. Awards include recognition as a Professor at Oxford. Advising: Leads the Healthcare Innovation CDT and mentors students in biomedical engineering. Active in Oxford’s e-Research Centre and Systems Approaches to Biomedical Sciences CDT. Collaborates globally to translate research into clinical solutions.

• Biomedical Image Analysis
• Medical Image Analysis
• Artificial Intelligence in Healthcare
• +۵ مورد دیگر

Prof. Steffen Hardt serves as Professor and Head of the Institute for Nano- and Microfluidics at the Technical University of Darmstadt, where he leads research in fluid dynamics at micro and nanoscales. His work bridges engineering, physics, and applied sciences within the university's technical framework. His research focuses on: Microfluidics: Precision manipulation of fluids in micrometer-scale channels Nanofluidics: Behavior and control of liquids at the nanometer level Fluid Mechanics: Fundamental principles of flow dynamics Nanotechnology: Development of nanoscale fluidic systems Engineering: Design of lab-on-a-chip devices and biomedical applications These areas drive innovations in point-of-care diagnostics, chemical synthesis, and energy-efficient fluid handling. No scientific awards are documented in the available information. As institute head, Prof. Hardt oversees a multidisciplinary team advancing experimental and theoretical frameworks in micro/nanofluidics, with infrastructure supporting high-precision fabrication and testing of fluidic systems.

• Microfluidics
• Nanofluidics
• Fluid Mechanics
• +۲ مورد دیگر

A.T. Charlie Johnson serves as the Rebecca W. Bushnell Professor of Physics and Astronomy at the University of Pennsylvania's School of Arts & Sciences, where he has been a standing faculty member since 1994. His research program focuses on nanoscale systems and has established him as a leading figure in condensed matter physics, earning recognition from major scientific societies. His educational foundation includes: Ph.D. in Physics from Harvard University (1990) B.S. in Physics from Stanford University (1984) Professor Johnson's research centers on the development and application of atomic-layer nanomaterials, particularly graphene and transition metal dichalcogenides , for fundamental studies of transport phenomena and practical biosensor applications. His group employs advanced nanofabrication techniques at Penn's Singh Center for Nanotechnology to create devices that leverage biological molecules for chemical recognition in disease diagnosis, security screening, and environmental monitoring. This work bridges condensed matter physics with biomedical engineering , yielding innovative solutions for real-world detection challenges. Analysis of his 2023-2025 publications reveals three dominant research thrusts: (1) scalable graphene-based biosensor development for medical diagnostics, (2) exploration of quantum phenomena like Klein tunneling in novel nanoelectromechanical systems, and (3) interdisciplinary applications spanning oncology, planetary science, and fetal medicine. His work consistently emphasizes materials synthesis , device integration , and practical translation of nanoscale phenomena. His scientific contributions have been recognized with prestigious honors: Defense Science Study Group Fellow (2018-2019) Fellow of the American Association for the Advancement of Science (2017) Fellow of the American Physical Society (2011) Lindback Foundation Award for Distinguished Teaching (2003) David and Lucille Packard Foundation Fellowship (1994-1999) As an educator, Professor Johnson has mentored numerous graduate students and postdoctoral researchers, with notable alumni like Michael Biercuk (founder of Q-CTRL). His research has been supported through significant leadership roles including Director of the Nano/Bio Interface Center (2014-2017) and Packard Fellowship funding, enabling sustained innovation in nanotechnology. His group actively collaborates across disciplines to advance both fundamental understanding and practical applications of nanomaterials. Based at the Singh Center for Nanotechnology, Johnson leads a dynamic research team utilizing state-of-the-art facilities for nanofabrication and characterization. His laboratory maintains strong campus collaborations through secondary appointments in Electrical and Systems Engineering and Materials Science and Engineering, fostering an interdisciplinary environment for developing next-generation nanoscale devices.

• Condensed Matter Physics
• Nanotechnology
• Nanomaterials
• +۴ مورد دیگر

Jonathan Hauenstein is the Robert and Sara Lumpkins Collegiate Professor in the Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame, serving as Department Chair. He holds a Ph.D. from Notre Dame (2009) and M.S. from Miami University (2005). His research focuses on numerical algebraic geometry and computational methods for solving nonlinear equations, implemented in the Bertini software package. Applications span engineering, ecology, sports science, and machine learning. Education: Ph.D., Applied and Computational Mathematics, University of Notre Dame (2009) M.S., Mathematics, Miami University (2005) Research Interests: Development of numerical algorithms for polynomial systems, real algebraic geometry, and scientific computing. Key areas include homotopy continuation methods, parameter space decomposition, and applications in mechanism design, ecological modeling, and sports biomechanics. His work bridges theoretical mathematics with practical computational tools. Awards: Sloan Research Fellowship DARPA Young Faculty Award Army Research Office Young Investigator Award Office of Naval Research Young Investigator Award College of Science Research Award Advising & Grants: Advised numerous undergraduates, graduate students, and postdoctoral researchers. Active in securing grants for computational mathematics projects, including NSF-funded initiatives. His work emphasizes interdisciplinary collaboration between mathematics and engineering. Labs/Teams: Leads computational algebraic geometry research groups at Notre Dame, focusing on software development (e.g., Bertini) and numerical methods innovation.

• Numerical Algebraic Geometry
• Scientific Computing
• Numerical Solution of Differential Equations
• +۵ مورد دیگر

Pavan Turaga is a Professor and Founding Director of The GAME School at Arizona State University (ASU), with a joint appointment in the School of Electrical, Computer and Energy Engineering (ECEE). They lead transdisciplinary research and education initiatives spanning gaming, esports, AI-enabled media creation, computer vision, and geometric modeling. Ph.D., Electrical Engineering, University of Maryland (2009) B.Tech., Electronics and Communication Engineering, IIT Guwahati (2004) Research focuses on integrating geometry and topology with machine learning , enabling advancements in: Computer vision for human activity recognition Generative AI for immersive media Health analytics and wearable rehabilitation systems AI ethics and pandemic prediction Key publications span CVPR (2023 spotlight paper PolyINR ), DLGC workshop (2023 best paper), and ICML (2019 work on GAN priors). Recent work explores LMMs , 3D human modeling , and AI for pandemic preparedness . Scientific accolades include: ASU Founders' Day Research Excellence (2025) NSF CAREER award (2015) CVPR 2023 Spotlight paper 2024 X-Prize (Rainforest Challenge) Directed research for students like Rajhans Singh and Ankita Shukla, securing grants from NSF , DARPA , and industry partners (Adobe, Google ATAP). Founded the Geometric Media Lab , emphasizing interdisciplinary collaborations with mathematicians, health scientists, and media artists.

• Machine Learning
• Deep Learning
• Computer Vision
• +۹ مورد دیگر

Jeffrey Krolik is a Professor of Electrical and Computer Engineering at Duke University's Pratt School of Engineering. He holds a Ph.D. in Electrical Engineering from the University of Toronto (1987) and previously served as an Assistant Professor at Concordia University and Assistant Research Scientist at Scripps Institution of Oceanography. Ph.D. University of Toronto (1987) M.A. University of Toronto (1983) B.A. University of Toronto (1980) His research focuses on physics-based and statistical signal processing with applications in radar, sonar, microwave remote sensing, and medical imaging. Key projects include adaptive beamforming for ocean acoustic waveguides, aircraft height finding via HF radar, and motion-robust fMRI algorithms. Recent publications cover multipath mitigation in sonar arrays, vibrational radar backscatter communication, and CNN implementations for radar signal processing. His work spans underwater acoustics, urban radar tracking, and distributed sensor networks. He teaches advanced courses in sensor array signal processing, digital audio systems, and radar applications. His research has been supported through collaborations with institutions like Scripps and consulting roles with ONR, DARPA, and Air Force Rome Laboratories. Key contributions include waveguide invariant processing, matched-field beamforming, and novel approaches to radar clutter suppression in urban and maritime environments. His work integrates statistical signal processing with physical propagation models across diverse domains.

• Signal Processing
• Sensor Array Processing
• Radar Systems
• +۴ مورد دیگر

Maiken H. Mikkelsen is the James N. and Elizabeth H. Barton Associate Professor in the Department of Electrical and Computer Engineering at Duke University, with a joint appointment in the Department of Physics . Her research focuses on quantum nanophotonics , plasmonics , and light-matter interactions in nanoscale materials, aiming to advance optoelectronics, quantum science, and biomedical diagnostics. Education B.S. in Physics, University of Copenhagen (2004) Ph.D. in Physics, University of California, Santa Barbara (2009) Postdoctoral Fellowship, University of California, Berkeley Her work explores nanophotonic engineering for quantum optics , spintronics , and ultrafast optoelectronics , with recent studies on nonlinear metasurfaces and plasmonic enhancement of immunoassays for point-of-care diagnostics. Publications highlight 2D semiconductor emission control , ultrafast single-photon sources , and metasurface-based photodetectors . Scientific Awards Maria Goeppert Mayer Award (2017) NSF CAREER Award (2015) Moore Inventor Fellow (2021) ONR/Air Force/Army Young Investigator Awards (2015-2017) Cottrell Scholar (2016) Stansell Family Distinguished Research Award (2021) She advises graduate students in Duke’s Electrical & Computer Engineering and Physics programs and leads the Mikkelsen Lab , which emphasizes ultrafast spectroscopy and quantum material development . The lab has graduated PhD students like Eunso Shin and Hengming Li (2025).

• Quantum Nanophotonics
• Plasmonics
• Spintronics
• +۷ مورد دیگر

Olaf Ronneberger is an associate professor at the Albert-Ludwigs-Universität Freiburg and works at Google DeepMind . His research focuses on deep learning architectures , AI applications to scientific problems , and protein structure prediction . He leads seminars on deep learning and 3D image analysis, emphasizing vision-language integration and generative models. His publications include foundational work on U-Net architectures for biomedical image segmentation, AlphaFold 3 for biomolecular interaction prediction, and Gemini models for multimodal AI systems. Key subfields span medical imaging , protein folding , and vision-language models . Co-developer of U-Net , a widely used biomedical image segmentation framework. Contributor to AlphaFold 3 for structural biology. Research on Gemini 1.5/2.5 models for multimodal reasoning.

• Deep Learning
• Computer Vision
• Biomedical Image Segmentation
• +۴ مورد دیگر