جست‌وجوی استاد و پژوهشگر

• Database Systems
• Query Optimization
• Cardinality Estimation
• +۳ مورد دیگر

Dan Suciu is a Professor at the University of Washington, specializing in database systems and theoretical computer science. His research focuses on query optimization, cardinality estimation, information theory, and the intersection of databases with programming languages and fairness concerns. He has collaborated extensively with researchers like Magdalena Balazinska, Mahmoud Abo Khamis, and Christopher Ré. His work spans foundational database theory, algorithm design, and practical systems. Key areas include worst-case optimal joins, equality saturation for query optimization, and applying information theory to cardinality estimation. Recent projects explore causal reasoning in databases and algorithmic fairness through database repair techniques. Publications highlight advancements in join algorithms, estimation frameworks (e.g., SafeBound, LpBound), and theoretical results in semiring-based query evaluation. His work bridges theory and practice, influencing both academic research and industrial systems. Notable contributions include the Seattle and Cambridge reports on database research, outlining field priorities. His systems like Mosaic and Themis address open-world data and approximate query processing.

Alexandra C. N. Kingstonمشاهده پروفایل

استادیار

• Sensory ecology
• Neurophysiology
• Vision
• +۵ مورد دیگر

Alexandra C. N. Kingston, Ph.D., serves as Assistant Professor of Biological Science in The University of Tulsa's Oxley College of Health & Natural Sciences, where her research investigates neurobiology and sensory physiology in marine invertebrates. Her work uniquely bridges visual ecology and biomechanics, focusing on snapping shrimp adaptations that inform both sensory biology and neurotrauma protection. Education: Ph.D., University of Maryland B.S., Arizona State University Research Focus: Dr. Kingston's lab employs integrative approaches to study how invertebrates interact with environments through specialized sensory systems. Key projects examine snapping shrimp visual processing (the fastest documented in aquatic animals) and helmet-like armor that mitigates blast-induced neurotrauma through shock wave dampening. Her work spans neuroethology, biomineralization, and evolutionary adaptation in intertidal species like chitons and bivalves, revealing fundamental principles of biological materials and sensory function. Publication Analysis: Recent publications (2020-2025) demonstrate consistent interdisciplinary innovation, with 60% focusing on snapping shrimp sensory biology and 40% on chiton visual systems/biomineralization. Recurring themes include structural trade-offs in armor-vision relationships, distributed photoreception mechanisms, and biomimetic applications for neuroprotection. Her methodology integrates electrophysiology, materials analysis, and behavioral observation across marine taxa. Mentorship & Infrastructure: Dr. Kingston actively recruits undergraduate and graduate students into research, emphasizing hands-on discovery in her well-equipped lab. She directs projects involving behavioral assays, electroretinography, and materials characterization, fostering collaborations with engineering and neuroscience researchers. Her teaching portfolio includes Invertebrate Zoology, Comparative Neurobiology, and graduate seminars on organismal biology. Research Environment: The Kingston Lab operates within The University of Tulsa's specialized facilities, including controlled marine habitats and neurophysiology suites. Ongoing work explores the molecular basis of magnetite biomineralization in chiton teeth and high-speed neural processing in snapping shrimp, with potential applications for traumatic brain injury prevention and bio-inspired materials design.

Alberto Accardiمشاهده پروفایل

استادیار

• Theoretical Quantum Chromodynamics
• Nuclear Physics
• Elementary Particle Physics
• +۵ مورد دیگر

Dr. Alberto Accardi is an Assistant Professor of Physics at Hampton University. He holds a Ph.D. from Trieste University (Italy) and an M.S. from Milan University. His research focuses on theoretical quantum chromodynamics (QCD), nuclear physics, and elementary particle physics, particularly the structure of protons and neutrons through the lens of parton dynamics and color confinement. He collaborates closely with experimental groups at Jefferson Lab and contributes to the Electron-Ion Collider initiative, aiming to probe parton distribution functions and QCD phenomena. Accardi's research emphasizes understanding how quarks and gluons share momentum/spin in nucleons, with a focus on large-x regions where color confinement dominates. He develops global QCD fits to analyze experimental data from Fermilab and CERN, improving precision in high-energy physics and neutrino experiments. His work also explores hadronization processes in nuclear targets and color confinement's role in quark-gluon plasma studies from heavy-ion collisions. He is affiliated with the Jefferson Lab Theory Group, CTEQ collaboration, and the Medium-Energy Electron Ion Collider study group. His research bridges theoretical advancements with experimental needs, supporting data interpretation and new proposal development.

Martin Kempمشاهده پروفایل

استاد

• Art History
• History of Science
• Visual Studies
• +۵ مورد دیگر

Martin Kemp is a Professor of Art History at Oxford University, specializing in the intersection of visual language between art and science from the Renaissance to contemporary contexts. He has held prestigious roles including the British Academy Wolfson Research Professor (1993–1998) and has lectured globally at institutions like Princeton, New York University, and the Victoria and Albert Museum. Education: Kemp studied Natural Sciences and Art History at Cambridge University and the Courtauld Institute in London. His academic career spans over 25 years, including roles at the University of Glasgow and St. Andrews. Research Interests: Kemp explores spatial visualization in art and science, emphasizing three-dimensional and dynamic forms. His work focuses on Leonardo da Vinci, anatomical illustration, optics, and the application of scientific principles in artistic practices. He investigates how visual intuition bridges problem-solving in both fields, transcending traditional disciplinary boundaries. Publications & Exhibitions: Kemp has authored seminal books such as Leonardo (2004), The Science of Art (1990), and Seen and Unseen (2006). He curates major exhibitions, including Spectacular Bodies at the Hayward Gallery and Leonardo da Vinci: Experience, Experiment, Design at the Victoria and Albert Museum. His column Science in Culture in Nature explores interdisciplinary themes. Awards: Recipient of the British Academy Wolfson Research Professorship (1993–1998), recognizing his contributions to art and science scholarship. Advising & Grants: Kemp has mentored through his academic roles, though specific grants are not detailed in the text. His work often involves collaborative projects with scientific and cultural institutions. Labs/Teams: Kemp collaborates with museums and academic networks but no dedicated lab is explicitly mentioned. His research is field-driven, focusing on curatorial and textual analysis.

• 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.

Danmei Sunمشاهده پروفایل

دانشیار

• Functional Polymers
• Textile Finishing
• Sustainable Materials
• +۶ مورد دیگر

Dr. Danmei Sun is an Associate Professor in Advanced Textile Materials & Engineering at Heriot-Watt University's School of Textiles & Design. She holds a BSc in Textile Engineering from Qingdao University and has 12 years of industry experience before completing her PhD on sustainable textile dyeing at Heriot-Watt. Her postdoctoral research at Manchester University focused on 2D/3D fabric development for ballistic protection. She joined Heriot-Watt in 2010 as an Assistant Professor, advancing to her current role. Education: BSc in Textile Engineering, Qingdao University PhD in Sustainable Textile Processes, Heriot-Watt University Research Interests: Functional polymers, recycling/upcycling textiles, 3D printing, thermal management, plasma technology, and protective textiles. Her work aligns with UN Sustainable Development Goals, emphasizing eco-friendly practices and material innovation. Awards: Recipient of the 2010 Most Cited Articles award from the Journal of Materials Processing Technology. Her research has been funded by UK Dstl/MoD, Oil and Gas Innovation Centre, and Scottish Funding Council. Grants & Projects: "Textile waste disposal through pyrolysis" (Harris Tweed & Textiles Future Forum, £99,320.83) "Offshore Survival Garment" (Phase I & II, OGIC & Iron Ocean Ltd., £214,910.65) Advising & Teams: Supervised numerous PhD students and leads a research group including Dr. M.O.R. Siddiqui, Dr. K. Iqbal, and others. Collaborates on editorial boards of journals like AUTEX Research Journal and Journal of Textile Science & Fashion Technology. Labs/Teams: Active in advanced textile materials, plasma technology, and sustainable manufacturing research. Engages in international collaborations on protective textiles and eco-friendly printing.

• Algebraic Graph Theory
• Spectral Graph Theory
• Combinatorics
• +۴ مورد دیگر

Edwin R. van Dam is a Professor in the Department of Econometrics and Operations Research at Tilburg University in the Netherlands. He serves as Editor-in-Chief of the prestigious Electronic Journal of Combinatorics, a diamond open access journal (free to read and publish). His office is located in room 4.11 of the Koopmans building at Tilburg University. Dr. van Dam completed his Master's degree at Eindhoven University of Technology in 1992 with a thesis on Steiner systems, supervised by A.E. Brouwer. He earned his Ph.D. from Tilburg University in 1996 under W.H. Haemers with research on graphs with few eigenvalues. He was a Research Fellow of the Royal Netherlands Academy of Arts and Sciences (KNAW) from 2001-2006 and has been ranked among the Top 40 Dutch Economists in multiple years. His research focuses on algebraic graph theory, combinatorics, and spectral graph theory, with significant contributions to association schemes, distance-regular graphs, and the spectral properties of complex graph structures. Dr. van Dam has published extensively in top journals including the Journal of Combinatorial Theory, Linear Algebra and its Applications, and Discrete Mathematics. His recent work (2021-2025) shows increasing focus on gain graphs, hypergraphs, and the connections between graph structure and eigenvalues, while maintaining his foundational work in algebraic combinatorics. Dr. van Dam has received several notable recognitions: Research fellow of the Royal Netherlands Academy of Arts and Sciences (KNAW) 2001-2006 Top 40 Dutch Economists (ranked 31st in 2004, 34th in 2003, 18th in 2000) Erdös number of 2, indicating close connections to the mathematical community He has supervised multiple Ph.D. students including Bart Husslage, Gijs Rennen, and Pepijn Wissing, often in joint supervision with prominent researchers. Dr. van Dam has collaborated with scholars from over 15 countries worldwide, reflecting the international nature of his work. His research continues to influence both theoretical developments in algebraic combinatorics and practical applications in operations research and optimization.

Jesse Rogersonمشاهده پروفایل

استادیار

• Astronomy
• Astrophysics
• Science Communication
• +۳ مورد دیگر

Jesse Rogerson is an Assistant Professor in the Department of Science, Technology and Society at York University's Faculty of Science. His research focuses on quasars and supermassive black holes, combining observational astronomy with science communication theory. He holds a PhD in astronomy, specializing in quasar wind variability through multi-site telescope monitoring. Rogerson has extensive experience in public science engagement, having worked in Canada's leading science museums to educate global audiences on astronomy and space sciences. He currently teaches courses such as History of Astronomy (NATS1745) and Exploring the Solar System (NATS1570), integrating pedagogical innovations with STEM education. His academic contributions span observational studies of quasar variability, broad absorption line dynamics, and reverberation mapping projects. Research highlights include work with the Sloan Digital Sky Survey Reverberation Mapping Project, analyzing light curves and spectral lag measurements. Rogerson is eligible to supervise graduate students in York's Physics and Astronomy Graduate Program. His email is rogerson@yorku.ca and he is based at Norman Bethune College. Key research areas include: Astronomy/Astrophysics with a focus on quasar behavior, science communication methodologies, and STEM education strategies. His work bridges cutting-edge astrophysical observation with accessible science outreach, emphasizing the societal relevance of scientific inquiry.

Martin Charles Golumbicمشاهده پروفایل

استاد

• Algorithmic Graph Theory
• Perfect Graphs
• Temporal Reasoning
• +۵ مورد دیگر

Dr. Martin Charles Golumbic is a Professor of Computer Science and former Director of the Caesarea Edmond Benjamin de Rothschild Institute for Interdisciplinary Applications of Computer Science at the University of Haifa. He previously held positions at IBM Research, Columbia University, Bar-Ilan University, and others. His research focuses on algorithmic graph theory, combinatorial mathematics, and artificial intelligence. PhD in Mathematics (Columbia University, 1975) M.A. and B.S. in Mathematics (Pennsylvania State University, 1970) Research interests include perfect graphs, temporal reasoning, constraint scheduling, and discrete applied mathematics. He has authored influential books such as *Algorithmic Graph Theory and Perfect Graphs* and *Fighting Terror Online*. His work bridges theoretical computer science with real-world applications in AI and security. Awards include the EurAI Fellowship (2005), Lifetime Achievement Award from the Israeli AI Association (2019), and membership in Academia Europaea (2013). He has supervised 5 PhD students and 21 M.Sc. students, along with 18 postdocs. Key contributions include editorial roles at *Annals of Mathematics and Artificial Intelligence*, patents in instruction scheduling, and leadership in over 50 international conferences. His interdisciplinary work at the Caesarea Rothschild Institute integrates computer science with other fields.

Mihiran Galagedarage Donمشاهده پروفایل

پژوهشگر

• Digital Twins
• Materials Science
• Mechanical Engineering
• +۵ مورد دیگر

Mihiran Galagedarage Don is a Postdoctoral Researcher at Memorial University of Newfoundland, affiliated with the Department of Energy and Mechanical Engineering and the Materials to Products department. He holds a Ph.D. in Mechanical Engineering (2023) and a Master of Engineering (2019) from Memorial University, alongside multiple degrees from the University of Moratuwa, including a B.Sc. (Hons) in Materials Engineering (2009). His research focuses on digital twin applications in oil and mining industries, fatigue analysis of drilling systems, finite element modeling, and predictive maintenance. Key contributions include frameworks for ESP systems, vibration prediction in drill strings, and hybrid models for process fault prognosis. Publications emphasize digital twin development, fatigue life prognosis, and Industry 4.0 analytics. No scientific awards are explicitly mentioned. Advising students or grants are not listed. No specific labs or teams are highlighted in the provided texts.

Jorgelina Marinoمشاهده پروفایل

پژوهشگر ارشد

• Mammalian Ecology
• Wildlife Conservation
• Carnivore Biology
• +۴ مورد دیگر

Dr. Jorgelina Marino is a Research Fellow at the Wildlife Conservation Research Unit (WildCRU), University of Oxford, and ED&I Lead. She has been at WildCRU since 1999 and serves as Science Director of the Ethiopian Wolf Conservation Programme. Her roles include tutoring the PG Diploma in International Wildlife Conservation Practice and supervising graduate students globally. She coordinates the Ethiopian Wolf Working Group under the IUCN SSC Canid Specialist Group. Her research focuses on carnivore ecology, specifically Ethiopian wolves and African canids. Key interests include viral diseases (rabies/distemper), spatial ecology, human-wildlife conflict mitigation, and climate change impacts in Afroalpine ecosystems. She emphasizes community engagement in conservation and has pioneered vaccination strategies for endangered species. Publications highlight her work across disciplines, including disease management, pollination roles of canids, and socio-ecological challenges in highland regions. Her research spans Africa and South America, with a strong emphasis on endangered species conservation through interdisciplinary approaches. Advising involves mentoring students like Daniel Villar (Ethno-Ornithology) and postdoctoral researchers such as Dr. Sandra Lai (Ethiopian Wolf Conservation). Grants and funding support fieldwork in Ethiopia, the Andes, and Patagonia. She collaborates with institutions like Oxford Mosaic and local communities to implement conservation strategies. Labs/Teams: Ethiopian Wolf Conservation Programme, WildCRU, IUCN SSC Canid Specialist Group. Ongoing projects include rabies vaccine efficacy studies and socio-ecological assessments in the Altiplano.

Björn Reinhardمشاهده پروفایل

استاد

• Nanotechnology
• Biophotonics
• Plasmonics
• +۳ مورد دیگر

Björn Reinhard is a Professor and Director of the Nano-Bio Interface Laboratory at Boston University. His research focuses on optical materials and their applications in understanding biological systems, particularly at the interface of nanotechnology and biology. He leads a lab developing advanced techniques such as plasmon rulers, plasmon coupling microscopy, and multiscale nanoparticle cluster arrays. Education: Postdoctoral Fellow at UC Berkeley (2004–2006), Dr. rer. nat. from Technical University Kaiserslautern (2003), Diploma in Engineering from Technical University Munich (2000), and Intermediate Diploma from University of Bielefeld (1997). Research Interests: The lab explores nanotechnology-driven solutions for biological challenges, including plasmonic biosensors, nanoparticle-cell interactions, and light-driven antimicrobial systems. Techniques employed include Raman spectroscopy, single-molecule fluorescence, and electron microscopy. Recent work emphasizes plasmon-enhanced catalysis, nanoplastics environmental impact, and targeted drug delivery via GM3-functionalized nanoparticles. Publications highlight advancements in plasmonics, nanoparticle design, and biomedical applications, with recent trends in chiral optical forces and nanoscale sensing technologies. The lab collaborates on interdisciplinary projects, such as developing optical sensors and studying lipid-nanoparticle interactions. Advising and Grants: Reinhard mentors students in nanobiotechnology and photonics, preparing them for roles in emerging technologies. His group’s work is supported by grants focusing on plasmonic photocatalysis, biomedical imaging, and environmental nanotoxicology. Labs/Teams: The Nano-Bio Interface Lab integrates nanotechnology, optics, and biology to address fundamental and applied challenges, with ongoing projects in nanomedicine, environmental science, and optoplasmonics.

Paul H J Kellyمشاهده پروفایل

استاد

• Compiler Technology
• Parallel Computing
• High-Performance Computing (HPC)
• +۹ مورد دیگر

Paul H J Kelly is a Professor of Software Technology at Imperial College London, leading the Software Performance Optimisation research group. He serves as co-Director of the Centre for Computational Methods in Science and Engineering and Director of Industrial Liaison for the HiPEDS Centre for Doctoral Training in High-Performance Embedded and Distributed Systems. Research Interests His research focuses on: Compiler technology for computational science Performance portability across heterogeneous architectures Domain-specific languages (DSL) for scientific computing Optimization of finite element methods and PDE solvers Data locality and parallelism trade-offs Computer vision algorithms and SLAM systems He actively collaborates with hardware vendors and application developers in computational science, robotics, and quantum chemistry. Article Trends Recent publications emphasize: Temporal and spatial tiling for PDEs and stencil computations Quantum circuit simulation optimization Distributed SLAM systems Performance portability frameworks (e.g., Firedrake, Devito) Compiler techniques for GPUs and custom accelerators Memory hierarchy optimization Scientific Awards Senior Member of the ACM (2021) Imperial College Engineering Faculty Teaching Excellence Award (2013) Best Robotics Paper at 18th Conference on Robots and Vision (2021) Student Mentoring He has mentored numerous PhD and postdoctoral researchers now in academic positions including: Luigi Nardi - Assistant Professor at Lund University Sajad Saeedi - Assistant Professor at Ryerson University Lawrence Mitchell - Assistant Professor at University of Durham Current students include Renato Salas-Moreno , David Ham , and Miklos Homolya .

Astola Jaakko Tapioمشاهده پروفایل

استاد

• Signal Processing
• Image Processing
• Nonlinear Signal Processing
• +۹ مورد دیگر

Jaakko Tapio Astola is a Professor of Signal Processing at Tampere University of Technology since 1993. He has held prominent roles including Academy Professor (2001–2006) and Associate Professor of Applied Mathematics (1988–1993). His academic journey includes positions at Lappeenranta and Eindhoven Universities of Technology. Astola is a member of the Finnish Academies of Science and Technology, and has received prestigious awards like the EURASIP Fellowship (2012), SPIE Fellowship (2007), and IEEE Fellowship (2000). His research spans signal processing, nonlinear filtering, bioinformatics, and algebraic coding theory. Notable contributions include foundational work on vector median filters and influential textbooks on nonlinear digital filtering. His interdisciplinary work bridges signal processing with systems biology and genetic network modeling. Education Highlights: 1984–1985: Research at Eindhoven University of Technology with Prof. J.H. van Lint's Discrete Mathematics Group 1976–1977: Studies at Kyoto University's Research Institute for Mathematical Sciences Research Interests: Astola's work emphasizes robust filtering techniques, spectral methods, and applications in biomedical signal analysis. His contributions to algebraic signal processing and bioinformatics include advancing Boolean network models for genetic systems and developing systematic bioinformatic analysis frameworks for large-scale genomic data. Awards: EURASIP Fellow (2012) Recipient of 2010 Nokia Award IEEE Fellow (2000) Grants & Advising: While specific grants are not detailed, his extensive academic roles and publications indicate sustained research funding. No student advisees are listed in available texts.

Robert Keefeمشاهده پروفایل

دانشیار

• Health Disparities
• Health Access
• Health Care Outcomes
• +۳ مورد دیگر

Robert Keefe is an Associate Professor at the University at Buffalo's School of Social Work. He specializes in public health social work, focusing on health disparities, health access, and healthcare outcomes for marginalized populations. His work emphasizes culturally sensitive services for mothers of color, particularly addressing postpartum depression and prenatal care barriers. Education: PhD in Social Welfare, University at Albany (1996) MSSA in Social Administration, Case Western Reserve University (1985) BA in Sociology, Ithaca College (1983) Research Interests: Dr. Keefe's research prioritizes maternal health equity, particularly among low-income mothers of color. He investigates structural barriers to healthcare access and advocates for trauma-informed care. His projects include a Fahs-Beck Foundation-funded study on postpartum depression and collaborations with community organizations to improve health literacy and reduce disparities. Awards: Public Health Social Worker of the Year (American Public Health Association, 2011) Fellow of the New York Academy of Medicine (2013) Grants & Advising: He leads the MSW/MPH dual degree program and has secured grant funding for community-based interventions. His work bridges academic research with practical solutions, such as mobile app development for underrepresented mental health consumers and trauma-informed policy frameworks. Labs/Teams: Collaborates with the Buffalo Center for Social Research and community partners on projects addressing gun violence, health inequities, and maternal mental health advocacy.