جستجوی استاد راهنمای دانشگاهی

Bahaa E. A. Salehمشاهده پروفایل

استاد

• Quantum Optics
• Statistical Optics
• Optical Communication
• +۵ مورد دیگر

Bahaa E. A. Saleh is a UCF Distinguished Professor of Optics and Photonics at CREOL, The College of Optics and Photonics, University of Central Florida, and former Dean of CREOL (2009–2019). He holds a B.S. from Cairo University (1966) and a Ph.D. from Johns Hopkins University (1971), both in Electrical Engineering. His career includes roles as Chair of the Department of Electrical and Computer Engineering at Boston University (1994–2007) and Deputy Director of the NSF-funded Gordon Center for Subsurface Sensing and Imaging Systems (2000–2008). His research spans quantum optics, statistical optics, nonlinear optics, and optical communication. He authored three influential books, including Fundamentals of Photonics , and has published over 600 papers. He founded the Optical Society (OSA) Advances in Optics and Photonics and held editorial leadership roles in major optics journals. Awards include the 2013 C.E.K. Mees Medal, 2006 Kuwait Prize, and multiple fellowships from SPIE, IEEE, and OSA. Current research focuses on quantum information applications, such as entangled photon generation and quantum imaging. He advises students in optics and photonics, with notable alumni including Seth Smith-Dryden and Walker Larson. His work emphasizes interdisciplinary contributions to optics education and technology.

• Energy Efficiency in Software
• Multicore Memory Systems
• Hardware/Software Co-Design
• +۳ مورد دیگر

Arrvindh Shriraman is an Associate Professor and Program Director of Software Systems at Simon Fraser University's School of Computing Science in Surrey. His research focuses on energy-efficient software, multicore memory systems, and optimizing hardware/software interfaces for parallel programming. He holds a Ph.D. (2010) and M.S. (2006) in Computer Science from the University of Rochester, and a B.Eng. (2004) from the University of Madras. He teaches courses on parallel programming and energy-conscious software design. His research interests include synchronization mechanisms for domain-specific architectures, cache optimization, and FPGA-based acceleration. He has contributed to frameworks like Mu-grind for HLS-generated RTL instrumentation and TAPAS for parallel accelerator generation. Notable projects include RANGE-BLOCKS for synchronization in domain-specific systems and TapeFlow for gradient computation in neural networks. His work emphasizes real-time verification of autonomous systems and safety-critical trajectory planning for underwater vehicles. Shriraman collaborates closely with the Tangent Lab, exploring cutting-edge solutions in hardware-software co-design and embedded systems. His teaching and research bridge theoretical computer science with applied engineering challenges, addressing scalability, efficiency, and safety in modern computing systems.

• Compact and reconfigurable antennas
• Antenna arrays
• Microwave components
• +۷ مورد دیگر

Dimitrios E. Anagnostou is Associate Professor in the Institute of Sensors, Signals & Systems within Heriot-Watt University’s School of Engineering & Physical Sciences, Edinburgh. He directs an anechoic-chamber & microwave characterisation facility, leads a thriving research group, and is currently recruiting PhD candidates. Education & Career: BSEE, Democritus University of Thrace, Greece (2000) MSEE, University of New Mexico, USA (2002) PhD, University of New Mexico, USA (2005) Post-doc, Georgia Tech (2005-2006) Assistant → tenured Associate Professor, South Dakota School of Mines & Technology (2007-2016) Associate Professor, Heriot-Watt University (2016-present) Research Focus: His work spans compact & reconfigurable antennas, 5G Massive-MIMO arrays, metasurfaces, metamaterials, functional materials (VO 2 ), RF-MEMS, microwave packaging, radar sensing for assisted-living, and AI/deep-learning applications in electromagnetics. He pursues “green” RF electronics printed on paper/organic substrates and hybrid integration of antennas on solar cells. Recent Publication Trends (2022-2025): Output is dominated by metasurface-enabled beam-steering antennas, VO 2 -based reconfigurable devices, radar absorbers/rasorbers, biomedical radar for vital-sign monitoring, and AI-assisted signal processing, with strong emphasis on experimental validation and open-access dissemination. Scientific Awards & Fellowships: IEEE John D. Kraus Antenna Award DARPA Young Faculty Award Marie Skłodowska-Curie Individual Fellowship (H2020) ASEE Campus Star Award Young Alumni Award, University of New Mexico Honored Faculty Award, SDSMT (×4) Distinguished Scientist Living Abroad, Hellenic Ministry of Defense Advising & Grants: He has mentored numerous PhD and MSc researchers; his students have won Best PhD Thesis and faculty-wide Engineering Prizes. He is supported by EU and UK research grants and continuously seeks motivated doctoral applicants. Facilities & Teams: He manages the Microwave Facility (anechoic chamber, mm-wave measurement systems) and collaborates with international academic/industry partners across Europe, North America and beyond.

Florian Bociortمشاهده پروفایل

استادیار

• Optical System Design
• Gradient-Index Optics
• Artificial Intelligence in Lens Design
• +۳ مورد دیگر

Florian Bociort is an Assistant Professor at the Optics Research Group , Delft University of Technology (Faculty of Applied Sciences). He holds a PhD in Physics from TU Berlin (1994) and has dedicated his career to optical system design, gradient-index optics, and computational methods in lens design. Research Interests Bociort’s research focuses on design landscapes of optical systems , where he pioneered the use of saddle points to escape local minima in optimization. His work spans Gradient-index optics (conversion of homogeneous lenses to GRIN media) Artificial intelligence in lens design Optics education (simulation-driven learning) Academic Contributions He has supervised multiple PhD theses on topics like: A. M. Boyd (2025): Generalized gradient-index lens optimization Z. Hou (2023): Systematic lens design searches Y. Shao (2021): Imaging coherence and optimization M. Strauch (2020): Tunable optics M. Mout (2019): Ray-based diffraction simulation Recent Publications His 2025-2018 publications show a trajectory from classical optical design to modern computational approaches, including simulation-driven education, gradient-index conversions, and high-NA diffraction modeling. The 2024 paraxial reconstruction and 2025 simulation-education articles exemplify this evolution. Patents & Expertise He co-invented two ASML-related patents in lithographic design and served as expert witness in the 2018 ASML-Nikon patent lawsuit. His personal webpage details his networks of local minima and fractal basins in optimization.

Hannes Taubenböckمشاهده پروفایل

استاد

• Remote Sensing
• Global Urbanization
• Urban Structure Analysis
• +۶ مورد دیگر

Prof. Dr. Hannes Taubenböck holds the Chair of Global Urbanization and Remote Sensing at the Julius-Maximilians University of Würzburg (Faculty of Philosophy, Institute of Geography and Geology) since 2022 and collaborates with the German Aerospace Center (DLR). His research bridges remote sensing with urban geography, focusing on: Global urbanization patterns and structural analysis Informal settlements (slums/refugee camps) Climate change and natural hazard vulnerability Migration dynamics via remote sensing and social media He obtained his PhD (2008) and habilitation (2019) at JMU Würzburg, preceded by geography studies at LMU Munich (1999-2004). His recent publications analyze: Climate impacts on African agriculture Urban permeability and walkability Border region disparities Heat exposure modeling Methodologically, he specializes in: Deep learning for earth observation Multi-modal data fusion Urban pattern classification Building stock analysis His work informs policy applications in: EU cohesion programs Disaster risk reduction Environmental justice Urban sustainability

Sassan Saatchiمشاهده پروفایل

استاد مدعو

• Remote Sensing
• Environmental Science
• Biodiversity Conservation
• +۵ مورد دیگر

Sassan Saatchi serves as a Senior Scientist at the Jet Propulsion Laboratory (JPL), California Institute of Technology, and holds an Adjunct Professor appointment at the Center for Tropical Research within UCLA's Institute of the Environment and Sustainability (IoES). His dual roles bridge advanced spaceborne sensor development with critical environmental conservation applications globally. Education: Ph.D. in Electrophysics and Applied Mathematics from George Washington University (1988) Research Interests: Dr. Saatchi's work centers on remote sensing technologies for environmental monitoring, specializing in tropical and boreal forest ecosystems. His core expertise includes land cover classification, biomass estimation, soil moisture analysis, carbon stock assessment, and conservation applications. He maintains active research in wave propagation theory and electromagnetic scattering in natural media, connecting fundamental physics with practical environmental solutions. Publication Trends: His 2000-2014 publications reveal a consistent trajectory applying satellite remote sensing to biodiversity conservation and climate challenges. Key patterns include spatial conservation planning in critical biomes (Atlantic Forest, Congo Basin), disease ecology mapping (monkeypox, avian malaria), and cross-disciplinary integration of ecological genetics with satellite data. His work consistently emphasizes African and South American rainforest-savanna ecotones as conservation priorities. Professional Leadership: Dr. Saatchi develops and teaches specialized courses on remote sensing for environmental problem-solving. His research receives significant funding from organizations like the National Geographic Society, as evidenced by recent projects indexing tropical rainforest vulnerability and creating high-resolution maps for the Democratic Republic of Congo's conservation efforts. Research Infrastructure: He operates within JPL's Earth Science Division and UCLA's Center for Tropical Research, leading teams that translate satellite data into actionable conservation strategies. Current initiatives focus on high-tech rainforest mapping to simultaneously address climate change mitigation and biodiversity protection.

• Organic Functional Materials
• Materials Informatics
• Structural Organic Chemistry
• +۴ مورد دیگر

Takuya Taniguchi is an Associate Professor at the Center for Data Science, Waseda University, where he has been employed since 2019, first as an Assistant Professor (2019-2021) before promotion to his current non-tenure track position. His interdisciplinary research bridges organic chemistry, materials science, and data science, with a focus on developing and analyzing functional organic materials, particularly photo-responsive molecular crystals. He maintains active collaborations with research groups including Hideko Koshima and Toru Asahi, and serves on professional committees such as the Manufacturing Industry AI Promotion Association. Education Doctor of Engineering, Waseda University (2019) Graduate studies at Waseda University's Graduate School of Advanced Science and Engineering Undergraduate studies at Waseda University's School of Advanced Science and Engineering, Department of Life Science and Medical Bioscience Research Focus Professor Taniguchi's work centers on structural organic chemistry and physical organic chemistry , with particular emphasis on organic functional materials and the application of materials informatics to crystal engineering. His research investigates how molecular structure influences macroscopic mechanical properties, especially photo-mechanical behaviors in organic crystals. He has pioneered the use of machine learning techniques to predict crystal properties, optimize materials performance, and design novel functional materials with applications in soft robotics and energy conversion. His recent work demonstrates a clear progression from fundamental studies of photo-mechanical crystals toward increasingly sophisticated applications of machine learning in materials science. The 15 most recent publications reveal a strong focus on neural network potentials for crystal property prediction, optimization of photo-actuated materials, and exploration of phase transitions in molecular crystals. This research trajectory shows consistent innovation in combining experimental chemistry with advanced computational methods. Awards and Recognition Inoue Research Encouragement Prize (2019) Ono Azusa Memorial Award from Waseda University (2019) Student Presentation Award at Japan Chemical Society 99th Spring Annual Meeting (2019) Poster Presentation Award at Chirality 2017 Multiple poster and presentation awards at international crystallography conferences Research Leadership Dr. Taniguchi leads multiple research projects funded by JSPS, JST, and industry partners including ENEOS Corporation and Sumitomo Foundation. His current projects include 'Efficient crystal structure prediction for organic porous materials,' 'Machine learning simulation of HOF material stability,' and 'Machine learning application for organic solid-phase transition.' He has successfully secured competitive funding including JST ACT-X and JSPS Early-Career Scientist grants. His work has received significant media attention, with coverage in Nikkan Kogyo Shimbun and Kagaku Kogyo Nippo highlighting breakthroughs in light-driven organic crystals with 3.7x improved output force. Academic Contributions Beyond research, Professor Taniguchi teaches extensively in Waseda's Global Education Center, offering courses in data science, statistical analysis with R, and statistics literacy across multiple academic quarters. He has contributed chapters to technical publications on process informatics, Bayesian optimization, and crystallization process design. His scholarly impact is evidenced by an h-index of 11 (Google Scholar) with 581 total citations, demonstrating significant influence in the emerging field of materials informatics for organic crystals.

• Optics
• Optical Materials Science
• Integrated Optics
• +۸ مورد دیگر

Nikolay Nikonorov is a Professor and Head of the Research Center for Optical Material Engineering at ITMO University . He is also a Chief Research Associate at the Heritage Science Lab and part of the Research and Educational Center for Photonics and Optoinformatics . Education: DSc (Doctor of Sciences) PhD Bachelor's degree in Optical and Electronic Devices from Leningrad Institute of Mechanics and Optics (now ITMO University) in 1976. Research Interests: Prof. Nikonorov pioneered the field of optical materials science of gradient waveguides in glass and contributed to integrated optics, gradient-index optics, microoptics, laser optics, optical nanotechnologies, and nonlinear optical magneto-optic materials . His work spans photosensitive, fluorescent, and polyfunctional optical materials, as well as condensed laser media. Scientific Awards: Diploma and award of the D.S. Rozhdestvensky Optical Society Diploma and award of S.I. Vavilov Diploma and medal of I.V. Grebenshchikov Diploma and medal of Yu.N. Denisyuk Medal 'Honored Inventor of the USSR' Laureate of 'Science/Interperiodica' Prize (2014) Medal of Outstanding Scientists of the 21st Century by IBC Cambridge' Grants & Collaborations: He worked at Corning (USA) and the Center for Research and Education in Optics and Lasers (University of Central Florida). His research has been published in peer-reviewed journals indexed by Web of Science and Scopus, with an h-index of 17.

Meng Cuiمشاهده پروفایل

دانشیار

• Neurophotonics
• Biomedical Imaging
• Adaptive Optics
• +۳ مورد دیگر

Meng Cui is an Associate Professor in the Department of Electrical and Computer Engineering and Biology at Purdue University. He received his PhD in Physics from the University of Michigan at Ann Arbor and served as a Janelia Lab Head at Howard Hughes Medical Institute (2010–2015). His research focuses on neurophotonics and biomedical imaging, particularly on developing transformative technologies for deep brain imaging and multiscale neural interface. Current Affiliation: Purdue University Alumni Affiliation: Howard Hughes Medical Institute Education: PhD in Physics (University of Michigan at Ann Arbor) His research has received major NIH grants including the BRAIN Initiative U01 and R01 awards. Key inventions include the COMPACT (Clear Optically Matched Panoramic Access Channel Technique), Optical Gearbox, and GTAO (Geometric Transformation Adaptive Optics), which significantly advance deep tissue imaging and high-speed neural recording. His lab has produced 15+ high-impact publications in journals like Nature Methods , Nature Communications , and Optics Express , covering neurophotonic tools, adaptive optics, computational imaging, and wavefront engineering. Collaborations span institutions including UCSD, University of Michigan, and UT Southwestern. Scientific Awards: Purdue Faculty Scholar (2025), Hitachi High-Tech Best Presentation Award (2023), NIH Grants (2024–2019) Current Students: Jiaxuan Xu, Yuting Li, Hehai Jiang, Jianian Lin, Chenmao Wang, Shiyi Sun Notable Alumni: Lingjie Kong (Tsinghua), Jung-Hoon Park (UNIST), Reto Fiolka (UT Southwestern) The Cui Research Group operates in the Bindley Bioscience Center, emphasizing the synergy of teaching, research, and technology development. Recent projects include high-throughput imaging systems, ultra-low light videography, and whole mammalian brain neurophotonic interfaces.

• Natural Language Processing
• Semantic Parsing
• Large Language Models
• +۳ مورد دیگر

Rui Zhang is an Assistant Professor in Computer Science and Engineering , with research expertise spanning Natural Language Processing , Large Language Models , and Semantic Parsing . His recent work focuses on enhancing multimodal consistency , fairness in summarization , and mathematical reasoning capabilities of LLMs. Key Research Themes: Text-to-SQL and cross-domain semantic parsing Multimodal learning (vision-language models) Fairness and bias mitigation in NLP tasks Efficient model training and prompt optimization Scientific Awards: National Science Foundation CAREER Award (2024) Grants & Projects: CAREER: Trustworthy Human-Centered Summarization (NSF, 2024-2029) addressing LLM trustworthiness through user-centric summarization frameworks. Article Trends: Recent publications emphasize LLM collaboration , compressed reasoning models , and cross-domain knowledge alignment . He explores multi-agent systems , mathematical reasoning , and vision-language limitations , particularly in geometric perception. Applications span bioinformatics (Alzheimer's biomarker discovery) and democratic AI frameworks.

• Numerical Analysis
• Uncertainty Quantification
• Inverse Problems
• +۳ مورد دیگر

Oliver G. Ernst is a Professor of Numerical Analysis at Technische Universität Chemnitz . His research focuses on Numerical Analysis , Uncertainty Quantification , and Inverse Problems , with applications in Thermo-Hydro-Mechanical (THM) processes , Electromagnetics , and Stochastic Partial Differential Equations . He is associated with the Numerical Analysis group at TU Chemnitz. Key Research Areas : Efficient numerical methods for PDEs Krylov subspace techniques Stochastic finite element methods Multi-physics modeling Geoscientific applications Recent Publications (2025-2010): THM simulations under uncertainty Neural network PDE solvers Bayesian inversion frameworks Rational Krylov algorithms Deflated restarting strategies Collaborations : TU Bergakademie Freiberg University of Manchester Technical University of Munich University of Maryland University of Geneva Software Development : Contributor to OpenGeoSys platform Developer of FEMALY MATLAB library Academic Recognition : h-index 32, i10-index 66, with over 4423 citations since 2020.

Michael Burrowsمشاهده پروفایل

استاد

• Marine Ecology
• Climate Change Impacts
• Biodiversity
• +۷ مورد دیگر

Michael Burrows is a Professor and Marine Ecologist at the Scottish Association for Marine Science (SAMS), part of the University of the Highlands and Islands (UHI). He is a leading researcher in marine ecology, focusing on the impacts of climate change on intertidal and coastal ecosystems. His work spans individual organism behavior to ecosystem-level modeling, with a strong emphasis on biodiversity, kelp forests, and marine heatwaves. His research interests include: Scaling ecological processes from individuals to ecosystems Climate change impacts on marine biodiversity Marine heatwaves and extreme ocean events Ecological modeling and forecasting Conservation of rocky shore and kelp forest ecosystems Blue carbon and biogeochemical cycles His recent publications reveal a strong focus on climate-driven biodiversity turnover, kelp population dynamics, Arctic coastal research, and the societal implications of ocean extremes. He frequently publishes in high-impact journals such as Nature , Nature Climate Change , and Trends in Ecology & Evolution . Scientific contributions and recognition: H-index of 56 (Scopus) Over 19,000 citations 205 research outputs, including 169 articles Active contributor to UN Sustainable Development Goals, particularly climate action and life below water Burrows is actively involved in advising and public engagement. He has participated in numerous workshops, public lectures, and media appearances, and has served on government advisory panels related to marine environmental status. He has supervised multiple research students and contributes to peer review and collaborative research networks globally. He is also a key member of the SAMS UHI Energy Innovation Team, linking ecological research with energy and sustainability initiatives. He is associated with the following labs and teams: Scottish Association for Marine Science (SAMS) SAMS UHI Energy Innovation Team International collaborations on Arctic and coastal biodiversity Marine heatwave research networks

• Physical Acoustics
• Ultrasonic Imaging
• Modeling and Simulation
• +۷ مورد دیگر

Thomas Brunet is a researcher at the University of Bordeaux, specializing in physical acoustics and functional materials for acoustics. His work spans ultrasound physics, material characterization, and advanced modeling/simulation techniques. Key collaborations with research groups: APY (Physical Acoustics) , Functional Materials for Acoustics , and GCE (Civil and Environmental Engineering) . Focus areas: acoustic metamaterials , Anderson localization , contactless micromanipulation , and viscoelastic wave propagation . His publications (over 30 in the last decade) demonstrate expertise in ultrasonic imaging, nanophononics, and multiphysics problems involving mechanical, thermal, and fluid interactions. Collaborative projects include DuMAS (Sustainability of Materials) , IMC (Mechanical Engineering) , and MPI (Materials-Procedes-Interactions) initiatives. No formal awards or student advising details are publicly available in the provided data.

Srinivas Shakkottaiمشاهده پروفایل

استاد

• Networking
• Wireless Networks
• Reinforcement Learning
• +۶ مورد دیگر

Srinivas Shakkottai is a Professor in the Department of Electrical and Computer Engineering (ECE) and affiliated faculty in the Department of Computer Science and Engineering (CSE) at Texas A&M University. He holds a Ph.D. from the University of Illinois at Urbana-Champaign (2007), followed by a postdoctoral stint at Stanford University. Since 2008, he has been at Texas A&M, advancing through roles from Assistant to Associate Professor before attaining full Professor status. Education: Ph.D., Electrical Engineering, University of Illinois at Urbana-Champaign (2007) Postdoctoral Associate, Stanford University Research Interests: Focus on algorithms for communication, energy, and transportation networks. Key areas include wireless networks, reinforcement learning, caching/content distribution, multi-agent learning, game theory, networked markets, and systems design. He co-directs the LENS Laboratory and the Texas A&M Initiative on Connected Intelligence (TICI). Key Awards: NSF CAREER Award (2012) Google Faculty Research Award (2010) Defense Threat Reduction Agency Young Investigator Award (2009) Grants & Labs: Leads research projects funded by NSF, including collaborative efforts on EdgeRIC (NextG cellular networks) and Caching systems. Active in labs focused on AI-driven network optimization and intelligent control systems. Lab & Teams: Co-director of LENS Lab and TICI, emphasizing real-time intelligent control, edge computing, and networked intelligence.

Udo Schickhoffمشاهده پروفایل

استاد

• Biogeography
• Vegetation Ecology
• Landscape Ecology
• +۷ مورد دیگر

Prof. Dr. Udo Schickhoff is a Professor of Physical Geography specializing in Biogeography and Landscape Ecology at the University of Hamburg's Department of Earth System Sciences. His research focuses on mountain environments, forest and steppe ecosystems across diverse regions including the Arctic, Central and South Asia, North America, and Middle Europe. With decades of academic experience, he has established himself as a leading researcher in human-environment interactions within high mountain systems. University of Hamburg, Department of Earth System Sciences, since 2004 Professor of Physical Geography, University of Bonn (2003-2004) Professor of Landscape Ecology, University of Rostock (2002-2003) Professor of Biodiversity, University of Greifswald (1999-2002) Prof. Schickhoff's research interests span biogeography, vegetation and landscape ecology, with particular emphasis on mountain ecosystems and human-nature interactions. His work examines vegetation patterns along elevation gradients, treeline dynamics, and the impacts of climate change on high-altitude ecosystems. He has conducted extensive field research in the Himalayas, Karakoram, Hindu Kush, and other mountain regions worldwide, investigating how these sensitive ecosystems respond to environmental change. His recent publications reveal a strong focus on treeline dynamics, glacial lake monitoring, and climate change impacts across mountain regions globally. Schickhoff's research employs advanced methodologies including species distribution modeling, remote sensing analysis, and field-based ecological investigations. His work demonstrates consistent attention to the interactions between climate change, land use, and ecosystem dynamics in vulnerable mountain environments. Throughout his career, Prof. Schickhoff has taught numerous courses on physical geography, climate-vegetation relationships, and mountain ecosystems. His teaching portfolio includes regular field excursions to diverse regions including the Himalayas, Central Asia, and other mountain systems worldwide, providing students with hands-on experience in biogeographical research. Prof. Schickhoff maintains an active research group focused on mountain ecosystem dynamics, with ongoing projects examining vegetation responses to climate change across multiple continents. His interdisciplinary approach integrates physical geography, ecology, and human dimensions to understand complex environmental systems in transition.