جست‌وجوی استاد و پژوهشگر

• network security
• network measurement and analysis
• cloud computing
• +۴ مورد دیگر

Dr. Kuai Xu serves as a Professor of Computer Science at Arizona State University's School of Mathematical and Natural Sciences within the New College of Interdisciplinary Arts and Sciences. He maintains affiliations with the Center for Cybersecurity and Trusted Foundations, focusing on securing critical network infrastructures. His academic credentials include: Ph.D. in Computer Science, University of Minnesota (2006) M.S. in Computer Science, Peking University, China (2001) B.S. in Computer Science, Peking University, China (1998) Dr. Xu's research centers on network security , network measurement , and IoT systems , with significant contributions to smart home security, network behavior analysis, and social media epidemiology. His work bridges theoretical modeling and practical implementations for real-world network challenges. Recent publications (2022-2025) reveal a concentrated focus on IoT security frameworks, machine learning-driven activity inference from device traffic, and pandemic surveillance through social media analysis. Key themes include DNS security hardening, attack graph modeling, and privacy-preserving spatial analytics in smart environments. Through courses like ACO 331 (Network Forensics Analysis) and ACO 361 (Secure Coding Concepts), Dr. Xu mentors students in cybersecurity fundamentals while supervising research via ACO 399 and individualized instruction (ACO 499). His teaching integrates cutting-edge research into classroom applications. As an active affiliate of ASU's Center for Cybersecurity and Trusted Foundations, Dr. Xu contributes to interdisciplinary initiatives addressing emerging threats in home networks, IoT ecosystems, and social media platforms.

Joshua Mark Brickmanمشاهده پروفایل

استاد

• developmental biology
• embryonic stem cells
• totipotency
• +۷ مورد دیگر

Joshua Mark Brickman is a Professor in the Department of Biomedical Sciences at the University of Copenhagen's Faculty of Health and Medical Sciences. He leads the Brickman Group at reNEW (Novo Nordisk Foundation Center for Stem Cell Medicine), a global research center focused on stem cell medicine. His laboratory, the Brickman Lab, is located at Blegdamsvej 3B, 2200 København N, Denmark. Professor Brickman earned his B.A. in Chemistry & Philosophy from the University of Vermont in 1985, followed by a Ph.D. in Biochemistry and Molecular Biology from Harvard University in 1996. After completing his doctoral studies focusing on transcription, he pursued post-doctoral training in developmental biology, working with early mouse development and embryonic stem cells as models for understanding developmental processes. Brickman's research focuses on understanding how transcription factors regulate cell fate choice in embryonic stem cells and early embryos. His group investigates transcriptional priming and commitment in stem cells, particularly in the specification of the endoderm lineage. They aim to understand how these priming events relate to stem and progenitor cell potency. The Brickman Group explores three main research themes: the molecular biology of enhancer function, transcription factors and metabolic influence in stem cell competence, and transcriptional regulation in the endoderm lineage. Their work has led to significant innovations including the development of human hypoblast stem cells, drugs for improved organ differentiation, and new approaches to IVF culture. Professor Brickman's laboratory has received funding from prestigious sources including the European Research Council, Novo Nordisk Foundation, Danmarks Frie Forskningsfond, Lundbeck Foundation, and the BRIDGE - Translational Excellence Program. His research on FGF/ERK signaling has proposed a new paradigm for understanding transcription factor function as enablers of signaling response rather than determinants of transcription itself. The Brickman Group consists of a diverse team of approximately 28 researchers including postdocs, PhD students, research assistants, and visiting scientists. Current members include Assistant Professor Molly Lowndes, Researcher Rita S. Monteiro, Postdocs Joji Marie Yap Teves and S M Nazmus Salehin, Master Students Hanna Kreilgaard McNamara and Sarah Sølling Brendstrup, and several others working collaboratively on various aspects of stem cell biology and developmental regulation.

• Computational Neuroscience
• Perception
• Decision Making
• +۲ مورد دیگر

Ulrik Beierholm is an Associate Professor in the Department of Psychology at Durham University, serving as Department Representative and Fellow of the Durham Research Methods Centre, and holding an Associate Professor position on the Executive Board of the Biophysical Sciences Institute. His research employs computational frameworks to investigate uncertainty processing in perception, decision making, and learning through interdisciplinary methodologies. His core research spans Computational Neuroscience, Perception, Decision Making, Neuroeconomics, and Machine Learning, with emphasis on Bayesian inference and reinforcement learning models validated via psychophysics, fMRI, and pharmacological techniques. Recent work demonstrates how the nervous system optimally handles sensory uncertainty across multisensory contexts, developmental stages, and cognitive tasks. Analysis of his publication trajectory reveals consistent innovation in Bayesian modeling of perceptual processes, with growing emphasis on computational tools development, neuroeconomics applications, and educational initiatives. His work bridges theoretical neuroscience with experimental validation across diverse cognitive domains. Honors include: Facebook Faculty Award for Virtual Reality (2016) Associate Editor for PLoS Computational Biology Editor for Bayesian methods section in Springer's Encyclopedia of Computational Neuroscience Dr. Beierholm supervises postgraduate researchers including Denise Foresteire and has co-organized influential workshops such as the Durham Computational Biology Symposium (2018) and Probabilistic Brain Workshop (2018), establishing himself as a key collaborator in computational neuroscience communities. His dual affiliations with the Biophysical Sciences Institute and Durham Research Methods Centre facilitate cross-disciplinary integration of psychological theory, neural data, and advanced computational modeling to address fundamental questions about human cognition.

• Software Engineering
• Requirements Engineering
• Agile Methodologies
• +۴ مورد دیگر

Professor Jerzy Nawrocki is a distinguished academic at the Poznań University of Technology, where he serves in the Faculty of Computer Science and Telecommunications within the Institute of Computer Science. With a career spanning several decades since completing his doctoral dissertation in 1984 on 'Cost analysis of dynamic memory allocation in real-time systems,' he has established himself as a prominent researcher in software engineering. Professor Nawrocki's research primarily focuses on: Software Engineering methodologies and practices Requirements Engineering, particularly Non-functional Requirements Agile Software Development processes Use Case Analysis and specification Code Quality assessment and metrics Software Documentation quality models His recent work has examined task-specific code metrics, the application of Definition of Done in agile projects, and the maintenance of non-functional requirement templates. Professor Nawrocki has published extensively, with numerous articles in reputable journals such as IEEE Access, Journal of Systems and Software, and Information and Software Technology. Professor Nawrocki has supervised eight doctoral dissertations, mentoring researchers who have gone on to make their own contributions to the field of software engineering. His students include Sylwia Kopczyńska, Bartosz Alchimowicz, Jakub Jurkiewicz, and Mirosław Ochodek. His work demonstrates a consistent focus on empirical approaches to software engineering challenges, with many of his publications presenting empirical studies that validate or challenge existing practices in the field.

• Particle Physics
• Neutrino Physics
• Nuclear Physics
• +۳ مورد دیگر

Dr. Elisabeth Falk is a Reader in Physics (Physics and Astronomy) at the University of Sussex, where she has been a faculty member since 2000. She progressed from Research Associate (2000-2004) to Lecturer (2004-2008), Senior Lecturer (2008-2023), and Reader (2023-present). She also served as a Visiting Professor at Lund University, Sweden in 2011. Dr. Falk is a member of the School of Mathematical and Physical Sciences and the Experimental Particle Physics Research Group. Dr. Falk's research focuses on fundamental neutrino physics through participation in large international experiments, primarily the SNO+ experiment. Her work addresses three key questions: how neutrinos oscillate between different types, whether neutrinos are their own antiparticles (neutrinoless double beta decay), and the role of neutrinos in the matter-antimatter asymmetry of the Universe. Her research spans particle physics, nuclear physics, and astrophysics, with particular expertise in neutrino detection techniques and analysis. Dr. Falk's publication record shows a consistent focus on neutrino physics, with recent work centered on the SNO+ experiment. Her publications cover neutrino oscillations, solar neutrino measurements, detector calibration methods, and searches for physics beyond the Standard Model. Her research has appeared in leading physics journals including Physical Review Letters and Physical Review D, with several papers receiving significant citations in the field. Dr. Falk actively supervises students at multiple levels, including DPhil (PhD), MSc, and undergraduate final-year projects. She teaches advanced courses in Nuclear and Particle Physics and Properties of Matter, integrating her research expertise into the classroom. Her teaching and supervision reflect her commitment to training the next generation of particle physicists. Dr. Falk has secured substantial research funding through multiple grants from the Science and Technology Facilities Council (STFC), including the current 'Antineutrino physics with SNO+' grant (2020-2024) and participation in larger consolidated grants supporting particle physics research at Sussex. These grants fund her research program, postdoctoral researchers, and student projects related to neutrino physics. As a member of the Experimental Particle Physics Research Group, Dr. Falk contributes to the development and operation of advanced detector systems for neutrino experiments. Her work on calibration techniques, particularly with the SNO+ detector, demonstrates her expertise in precision measurement methods essential for cutting-edge particle physics research.

• Geosensor Networks
• Wireless Sensor Networks
• Sensor Data Streams
• +۵ مورد دیگر

Dr. Silvia Nittel is an Associate Professor in the School of Computing and Information Science at the University of Maine. She serves as the Director of the UMaine Data Science and Engineering program and the Graduate Program Coordinator for 7 Graduate programs in the Spatial Computing group. Dr. Nittel directs the Geosensor Networks Lab and has held significant leadership roles including Computer Science Undergraduate Coordinator (2013-2018) and member of the executive committee of the Sensor Science, Engineering and Informatics IGERT (2005-2012). Dr. Nittel received her Ph.D. in Computer Science from the University of Zurich in 1994, followed by postdoctoral research at UCLA Computer Science Department (1995-1998), where she later became Co-Director of the UCLA Data Mining Lab (1998-2001). She joined the University of Maine faculty in 2001. Her research focuses on extending data management technology for geosensor networks with five primary thrusts: Decentralized in-network data collection algorithms for geosensor networks Real-time analytics of spatially distributed sensor data streams (processing up to 250K updates/sec) Field Data Type Hierarchy for Stream Data Models and spatio-temporal interpolation Integration of sensor network data with ontologies for event understanding Blockchain applications for healthcare data privacy and access control Dr. Nittel is a recipient of the prestigious NSF Early CAREER award, and her research has been funded by multiple agencies including NSF, NGA, NASA, and the Maine National Guard. As a thought leader, she co-founded the 'Geosensor Networks' conference series, authored two foundational books on the subject, and contributed to encyclopedia entries in four different publications. Her highly cited 2009 Sensors journal article established key concepts in environmental monitoring through sensor networks. Dr. Nittel teaches graduate courses in Spatial Information Science and Engineering and MSIS programs, mentoring students through the Geosensor Networks Lab where they engage with cutting-edge research and industry collaborations with organizations like GE.

Bobbie-Jo Webb-Robertsonمشاهده پروفایل

استاد بالینی

• Statistics
• Machine Learning
• Bioinformatics
• +۵ مورد دیگر

Bobbie-Jo Webb-Robertson serves as Division Director and Chief Scientist of computational biology in the Biological Sciences Division at Pacific Northwest National Laboratory (PNNL). She holds multiple academic appointments including Clinical Volunteer Professor at the University of Colorado Anschutz Medical Campus, Courtesy Assistant Professor at the University of Florida, and Clinical Associate Professor at Oregon Health and Sciences University. Dr. Webb-Robertson earned her PhD in Engineering Systems from Rensselaer Polytechnic Institute in 2002, an ME in Statistics from the same institution in 2000, and a BA in Mathematics from Oregon State University in 1997. With over 20 years of experience in statistics and data science, she has established herself as a leader in computational biology with an h-index of 30 and more than 100 publications. Her research focuses on developing and applying advanced statistical and machine learning methods to address challenges associated with large and complex omics data. She specializes in mass spectrometry-based omics data analysis, statistical data integration, predictive modeling, and biomarker discovery. Her work has significant applications in biomedical research, particularly in understanding type 1 diabetes through multi-omics approaches. Dr. Webb-Robertson's recent publications demonstrate a strong trajectory in type 1 diabetes biomarker discovery, multi-omics data integration, and the application of machine learning to biological problems. Her work spans proteomics, metabolomics, and transcriptomics with a focus on developing computational tools that can integrate multiple data types for improved biological insights. Chauncey and Doris Starr Graduate Fellowship, 1997 GE Future Faculty Scholarship, 1999-2000 National Science Foundation Program in Mathematics and Molecular Biology Fellowship, 1999-2001 HPC Analytics challenge in biology first place team member, 2007 Spirit of nPOD award from the Network for Pancreatic Organ Donors with Diabetes Dr. Webb-Robertson serves in various editorial and advisory roles including Executive Editor for the Journal of Proteomics and Genomics Research, Review Editor for Frontiers in Artificial Intelligence, Scientific Advisory Board Member for the Juvenile Diabetes Research Fund IBM Machine Learning Project, and member of the American Statistical Association. She actively contributes to the scientific community through these service roles while maintaining a productive research program focused on computational methods for biological data analysis. Her laboratory develops computational tools for multi-omics data analysis with particular emphasis on applications in type 1 diabetes research. She leads a team that integrates expertise in statistics, machine learning, and biological domain knowledge to tackle complex biomedical problems, with a focus on biomarker discovery and early disease prediction.

Isabelle Garatمشاهده پروفایل

دانشیار

• socio-demographic divisions
• social housing
• co-owners
• +۷ مورد دیگر

Isabelle Garat is a Teacher-researcher (Maître de Conférences with Habilitation to Direct Research) at Nantes University, affiliated with the ESO research unit (UMR ESO). She is part of Axis 3 of UMR ESO: 'The (re)localization of politics: a process under tension (2022-2027)' and connected to ESO site ch. 10 - FILM. Her work focuses on urban geography with specialization in housing policies, socio-demographic divisions, and urban politics in metropolitan areas. Garat's research interests center on the (re)localization of politics and implementation methods of public policies related to housing and heritage. She examines housing stakeholders in local urban areas (metropolis, medium-sized towns), focusing on co-existences, representations, gaps, adjustments, and regulations. Her work particularly investigates resident practices and representations of housing, with emphasis on densification, solidarity, neighborhood, or district dynamics in metropolitan contexts. Her recent publications reveal a strong focus on social housing geography, co-ownership arrangements in reconstructed city centers, and urban resistance movements. The research shows consistent thematic development across three decades, with increasing attention to metropolitan governance, housing inequalities, and the spatial dimensions of social policies. Her work bridges theoretical geographical frameworks with practical urban policy analysis, particularly in the Nantes metropolitan context. Garat has served as head of the Master's program in Urban Planning and Development since 2017. She supervises doctoral students including Remy Blans (2024 thesis on housing's influence on study trajectories) and Laura Mehtali (2020 thesis on contesting metropolitan projects). She is actively involved in significant research initiatives including the PUCA program (2022-2025) on co-ownerships in reconstructed cities and the Social Atlas of the Nantes metropolitan area (since 2019). Her research methodology combines quantitative spatial analysis with qualitative fieldwork, particularly evident in her studies of informal solidarity practices among older populations in Nantes and Orvault. She maintains strong institutional connections with urban planning agencies and housing authorities through her jury membership for social housing publications (Union sociale de l'Habitat, Caisse des Dépôts et Consignations).

• Markov processes
• Ruin theory
• Extreme value theory
• +۵ مورد دیگر

Romain Biard is a Senior Lecturer in Mathematics at the University of Franche-Comté, holding dual research affiliations with the Besançon Mathematics Laboratory (UMR 6623, LMB) and the Research Center on Economic Strategies (UR 3190, CRESE). His career bridges theoretical mathematics with practical applications in economics and healthcare systems. His primary research interests span Markov processes, Ruin theory, Extreme value theory, Optimal allocations, and Game theory. These areas converge in his work on modeling complex systems with random elements, particularly focusing on risk assessment and resource allocation problems. His research demonstrates how mathematical frameworks can address real-world challenges in healthcare management and economic competition. Analysis of his recent publications reveals a strong trend toward applied research with immediate societal relevance. His 2023-2024 work on healthcare resource allocation (nursing shortages, ventilator availability) applies sophisticated Markov process modeling to critical hospital management problems. Earlier work on economic competition models demonstrates how random entry of firms affects market equilibrium, with specific applications to the taxi industry facing competition from ride-hailing services. Active researcher with publications spanning 2008-2024 Primary collaborator network includes Marc Deschamps, Mostapha Diss, Alexis Roussel, and Stéphane Loisel Publications appear in high-quality journals across mathematics, statistics, economics, and actuarial science Biard's research approach consistently combines rigorous mathematical theory with practical applications, making significant contributions to both theoretical developments and real-world problem solving. His current work suggests continued focus on applying stochastic modeling to healthcare resource challenges and economic competition dynamics.

• Functional programming
• Compiler construction
• Program analysis
• +۲ مورد دیگر

Matthew Fluet is an Associate Professor and Graduate Program Director in the Department of Computer Science at Rochester Institute of Technology's Golisano College of Computing and Information Sciences. He received his PhD in Computer Science from Cornell University and his BS in Mathematics from Harvey Mudd College. Prior to joining RIT, he was a research assistant professor at the Toyota Technological Institute at Chicago. Dr. Fluet's research focuses on programming languages, with particular emphasis on: Functional programming Compiler construction Program analysis Type systems Parallelism and concurrency His research has resulted in several significant projects including Manticore (a heterogeneous-parallel functional programming language), MaPLe/MPL (a functional language for provably efficient and safe multicore parallelism), and contributions to MLton (a whole-program optimizing Standard ML compiler). His work is supported by multiple National Science Foundation grants. Dr. Fluet has published extensively in top programming languages conferences including ICFP, POPL, PLDI, and PPoPP. His recent work focuses on automatic parallelism management, type-and control-flow analysis, and memory management for parallel systems, demonstrating a consistent research trajectory in making parallel programming safer and more accessible through language design. His notable research grants include: National Science Foundation (CISE Research Infrastructure): $224,329 (2014-2017) National Science Foundation (Software and Hardware Foundations): $236,744 (2014-2018) National Science Foundation: $412,261 (2011-2014) National Science Foundation: $91,867 (2008-2012) Dr. Fluet actively mentors graduate students, currently advising several MS project and thesis students. He teaches courses including Programming Skills (with focus on Rust), Compiler Construction, and Programming Language Concepts. He also serves in leadership roles including as Graduate Program Director for the Computer Science MS program and participates in departmental governance through the CS Curriculum Committee and GCCIS Curriculum Committee. He is an active member of the programming languages community, having served on program committees for major conferences and as Information Director for ACM SIGPLAN (2015-2018), demonstrating his commitment to advancing the field through research, education, and community service.

Laura Eloمشاهده پروفایل

استاد

• Computational Biomedicine
• Bioinformatics
• Proteomics
• +۵ مورد دیگر

Laura Elo serves as Professor at the University of Turku and holds dual leadership roles as Research Director of Turku Bioscience Centre and Vice Director of Turku Life Science Center. She is a key figure in the InFLAMES Flagship research program focused on inflammation mechanisms. Her primary affiliation is with the Computational Biomedicine department where she leads the Elo Lab. Her research spans computational biomedicine with emphasis on proteomics, metabolomics, and machine learning applications in disease modeling. Key focus areas include longitudinal analysis of type 1 diabetes, obesity-related metabolic pathways, malaria resistance mechanisms, and single-cell immunology. She develops computational methods for cell migration analysis (CellRomeR package) and metagenomic data processing. Recent publications demonstrate strong interdisciplinary collaboration across bioinformatics, clinical medicine, and systems biology. Her work frequently appears in high-impact journals including Science , Scientific Reports , and American Journal of Physiology , with multiple 2025 publications highlighting cutting-edge computational approaches to complex diseases. Laura Elo actively disseminates research through platforms like Tekniikan Maailma (The World of Technology), making computational medicine accessible to broader audiences. Her leadership extends to organizing major events like the European Conference on Computational Biology (ECCB2024). The Elo Lab maintains strong industry and clinical partnerships, evidenced by large-scale studies using Nordic Arthroplasty Register data and collaborations with Turku Metabolomics Core. Current projects integrate multi-omics data with clinical outcomes to improve disease diagnosis and treatment prediction.

Darren Sealsمشاهده پروفایل

دانشیار

• Cancer Biology
• Cell Signaling
• Cell Motility
• +۴ مورد دیگر

Dr. Darren Seals is an Associate Professor of Cancer Biology in the Department of Biology at Appalachian State University. His research focuses on cellular mechanisms of cancer progression, particularly the role of specialized cellular structures in tumor invasion and metastasis. Dr. Seals' research interests center on cell signaling mechanisms that regulate cell motility, with particular emphasis on tumor growth and metastasis. His laboratory investigates podosomes and invadopodia - actin-based cytoskeletal protrusions that enable invasive cell types to adhere to and remodel surrounding tissue. His work on the Src tyrosine kinase substrate and adaptor protein Tks5/Fish has significantly contributed to understanding how these structures form and function during cancer development and progression. Dr. Seals' publication record demonstrates a clear research trajectory from plant cell biology in his early career to cancer cell biology in his more recent work. His research has particularly focused on the role of invadopodia in cancer cell invasion and the role of podosomes in normal cell types within the tumor microenvironment. His guiding hypothesis is that Tks5 acts in a Src signaling pathway to scaffold a network of podosome-associated proteins, engineering the necessary events of actin polymerization and proteolysis that contribute to cell invasion and cancer development. Dr. Seals teaches courses in Biological Concepts, Cell Biology, Cell Biology Laboratory, and Cancer Biology. His professional affiliations include the American Association for Cancer Research, American Society for Cell Biology, and The Invadosome Consortium.

Raffi Khatchadourianمشاهده پروفایل

دانشیار

• Software Engineering
• Programming Languages
• Reliable Machine Learning Systems
• +۴ مورد دیگر

Raffi Khatchadourian is an Associate Professor in the Department of Computer Science at Hunter College and a member of the Doctoral Faculty of The Graduate School and University Center's Ph.D. Program in Computer Science at the City University of New York (CUNY). He leads the PONDER Lab @ CUNY and is a member of the CUNY Institute of Computer Simulation, Stochastic Modeling, and Optimization (CoSSMO). His research lies at the intersection of software engineering, programming languages, and reliable machine learning systems. He investigates how program analysis, automated refactoring, and type theory can ease the burden of correctly, efficiently, and securely evolving large and complex software. His work spans several key areas including automated refactoring of Java programs, empirical studies of software development practices, migration of imperative Deep Learning programs to graph execution, and the application of software engineering methodology to improve statistical programs and artificial intelligence. His research has been externally supported by the National Science Foundation (NSF), the Japan Society for the Promotion of Science (JSPS), Amazon Web Services (AWS), and the Verizon Foundation. Dr. Khatchadourian's recent publications demonstrate a strong focus on improving Deep Learning systems through automated refactoring techniques, analyzing technical debt in machine learning systems, and addressing concurrency challenges in modern programming languages. His work frequently appears in top-tier conferences including ICSE, ASE, ESEC/FSE, and FASE. His scientific achievements have been recognized with numerous awards including the EAPLS Distinguished Paper Award at FASE '25, EAPLS Best Paper Award at FASE '20, and a Distinguished Paper Award at IEEE SCAM '18. He has also received fellowships from JSPS and NSF EAPSI, along with the Eleanor Quinlan Memorial Award for Excellence in Teaching. As an advisor, Dr. Khatchadourian has mentored numerous PhD, Master's, and undergraduate students, including Tatiana Castro Vélez who recently accepted a tenure-track Assistant Professor position at University of Puerto Rico. He has served on multiple program committees for major conferences including ICSE, ASE, ECOOP, and GPCE, and has organized events such as the New York Seminar on Programming Languages and Software Engineering (NYPLSE). He also mentors students through NYU GSTEM and ACM SIGPLAN-M programs. Dr. Khatchadourian maintains active research collaborations across institutions and leads the PONDER Lab @ CUNY, which focuses on programming, optimization, and novel development environments for reliable software. The lab provides opportunities for undergraduate, master's, and doctoral students interested in programming languages and software engineering research.

Sebastian Bargمشاهده پروفایل

استاد

• Cell Biology
• Endocrinology
• Insulin Secretion
• +۵ مورد دیگر

Sebastian Barg is a Professor and Deputy Head of Department at Uppsala University's Department of Medical Cell Biology within the Faculty of Medicine. His research group investigates the cell biology of insulin secretion using advanced light microscopy (TIRF, single molecule imaging) and patch clamp electrophysiology, with a particular focus on regulated exocytosis of secretory granules. He also teaches cell biology and general endocrinology courses. MSc Biochemistry, Free University Berlin (1995) Undergraduate thesis, Vanderbilt University (1995) PhD Medical Sciences, Lund University (2001) Barg's research primarily centers on pancreatic beta cell function, insulin secretion mechanisms, and diabetes pathophysiology. His work employs cutting-edge techniques to study vesicle dynamics, membrane fusion events, and molecular signaling pathways involved in exocytosis. The lab has made significant contributions to understanding how calcium channels, phosphoinositides, and SNARE proteins regulate insulin granule release. Their research has important implications for understanding Type 2 diabetes mechanisms where these processes are impaired. Analysis of Barg's most recent publications reveals a clear trajectory of increasingly sophisticated investigation into beta cell function. His work has evolved from fundamental studies of exocytosis mechanisms to complex investigations of diabetes pathology in human islets, incorporating advanced computational methods like deep learning for image analysis. The research spans molecular biology, cellular physiology, and translational medicine, consistently focusing on the mechanisms underlying insulin secretion defects in diabetes. Recent work has expanded into stem cell-derived islets, GLP-1 receptor signaling, and novel therapeutic targets for diabetes treatment. best PhD thesis Medical faculty Lund (2001) Swedish Research Council (VR) assistant professor position (2002) EMBO longterm fellowship (2002) STINT fellowship award (2002) Swedish Society for Medical Research fellowship award (2002) Albert Renold Career Development Award (EFSD) (2002) Wallenberg fellowship award in Nano/micro Science (2005) Zetterling fellowship award (2008) Göran Gustafsson award in human biology (2008-11) Professor Barg leads a vibrant research group comprising PhD students, postdoctoral researchers, and senior scientists. His lab has secured substantial funding from major Swedish and international research councils, including the Wallenberg Foundation and the Swedish Research Council. The research has significant translational potential, with several publications highlighting potential therapeutic targets for diabetes treatment. The group maintains active collaborations with other leading diabetes research teams both within Uppsala University and internationally. The Barg lab operates within Uppsala University's Department of Medical Cell Biology, utilizing state-of-the-art microscopy and electrophysiology facilities. The research group includes several key personnel such as Nikhil Gandasi (Researcher), Muhmmad Omar-Hmeadi (Postdoctoral position), and Emmanuel Chadeuf (PhD student), who have co-authored multiple high-impact publications with Barg. The lab's technical expertise spans molecular biology, advanced imaging, and computational analysis of cellular processes.

Nicholas Tothillمشاهده پروفایل

دانشیار

• Astrophysics
• Radio Astronomy
• Millimetre-wave Astronomy
• +۵ مورد دیگر

Associate Professor Nicholas Tothill is a Senior Lecturer and Director of WSU Penrith Observatory at Western Sydney University's School of Science. With extensive international experience including positions at Harvard-Smithsonian Center for Astrophysics and Max Planck Institute for Astronomy, he specializes in astrophysics, radio astronomy, and astronomical instrumentation. Education BA in Natural Sciences (Physics and Theoretical Physics), Cambridge University, UK MSc in Radioastronomy, University of Manchester, UK PhD in Astrophysics, University of London, UK Research Interests Nicholas Tothill's research focuses on astronomical and space science applications of event-based cameras, radio astronomy, millimetre-wave astronomy, optical spectroscopy, and cosmic-ray astronomy. His work spans the astrophysics of distant galaxies, star formation processes, and galactic cosmic rays. He has conducted research at the South Pole running radio telescopes and has extensive experience with various astronomical instrumentation and data analysis techniques. Publication Trends Tothill's recent publications (2019-2023) show strong focus on binary star systems, radio astronomy surveys of Magellanic Clouds, and development of astronomical instrumentation, particularly neuromorphic event-based cameras for space imaging. His work bridges observational astronomy with instrument development, contributing to major projects like the Cherenkov Telescope Array. Scientific Awards Antarctica Service Medal, US NSF Member, Astronomical Society of Australia Advising and Grants Professor Tothill supervises research students in computational astrophysics and has been involved in significant research projects including the European Commission-funded "Advancing European submillimetre/terahertz astronomy in Antarctica" (2006-2008). His work combines theoretical astrophysics with practical observational techniques across multiple wavelengths. Laboratories and Teams As Director of WSU Penrith Observatory, Tothill leads observational astronomy efforts at Western Sydney University. He is associated with the International Centre for Neuromorphic Systems and has collaborated extensively with international teams on projects including the JCMT Gould Belt Survey, ASKAP surveys, and Cherenkov Telescope Array development.