جست‌وجوی استاد و پژوهشگر

Ben Larsonمشاهده پروفایل

استادیار

• Biological Physics
• Cell Biology
• Evolution
• +۵ مورد دیگر

Ben Larson is an Assistant Professor in the Department of Biological Sciences at Rensselaer Polytechnic Institute (RPI), affiliated with the Center for Biotechnology and Interdisciplinary Studies (CBIS). His research bridges biological physics, cell biology, and evolutionary principles to study complex cellular behaviors without nervous systems. BA in Physics, Reed College (2012) Postbaccalaureate Research Fellow, NIH NHLBI (2012-2014) PhD in Biophysics, UC Berkeley (2019) Postdoctoral Scholar, UCSF (2019-2024) Research Focus: The Larson Lab applies interdisciplinary tools from physics and computation to investigate sensorimotor activity in unicellular organisms like Euplotes , exploring how cells achieve sophisticated behaviors through cytoskeletal dynamics and finite-state mechanisms. Key themes include cellular decision-making, evolutionary biophysics, and multicellular morphogenesis. Scientific Awards: 2013 Orloff Science Award 2016-2019 NSF Graduate Research Fellowship 2016 Society of General Physiology Scholar 2020-2023 Merck Postdoctoral Fellowship 2022 Porter Prize for Research Excellence (ASCB)

Reza Curtmolaمشاهده پروفایل

استاد

• Cybersecurity
• Cloud Computing
• Network Security
• +۷ مورد دیگر

Reza Curtmola is a Professor in the Department of Computer Science at NJIT. His research focuses on cybersecurity, distributed systems, and network security with an emphasis on secure routing, cloud computing, and privacy-preserving technologies. He holds a Ph.D. in Computer Science from Johns Hopkins University (2007), an M.S. from the same institution (2003), and a B.S. from the Politehnica University of Bucharest (2001). Dr. Curtmola’s work addresses challenges in wireless mesh networks, vehicular communication systems, and mobile-cloud integration. His contributions include innovative solutions for secure network coding, distributed resource management (e.g., parking assignment systems), and auditable data storage mechanisms. He has developed middleware frameworks like Moitree for mobile-cloud applications and has explored defenses against side-channel attacks, cache leaks, and entropy-based network vulnerabilities. His research also extends to privacy in vehicular DSRC protocols, dynamic traffic optimization, and verifiable code review systems. He has published extensively on topics ranging from cryptographic defenses in distributed systems to practical implementations of remote data checking in untrusted clouds. Current research activities include advancing secure cloud infrastructure, improving mobile crowdsensing reliability, and mitigating threats in IoT-enabled urban environments. His work often bridges theoretical foundations with practical system implementations, emphasizing real-world applicability in smart cities and critical infrastructure systems.

Michael Haganمشاهده پروفایل

استاد

• Biophysics
• Soft Condensed Matter
• Active Matter
• +۴ مورد دیگر

Michael Hagan is a Professor of Physics at Brandeis University, affiliated with the Martin A. Fisher School of Physics. His research focuses on understanding the physical principles governing assembly and dynamic organization in biological and biomimetic systems. He employs computational and theoretical methods, including machine learning, to study viral capsid assembly, bacterial microcompartments, and active matter systems. His work bridges length and time scales to elucidate emergent behaviors in nonequilibrium systems. Education: PhD in Physics from the University of California, Berkeley (2003). His group, the Hagan Lab, collaborates with experimentalists and has received funding from the DOE, NSF, Keck Foundation, and NIH. Key areas include viral genome assembly optimization, bacterial microcompartment formation, and the dynamics of active nematics. Recent studies explore defect-ordered phases, phase separation in active colloids, and programmable self-assembly of geometric structures. Research interests span biophysics, soft condensed matter, and computational modeling. His lab's work has implications for synthetic biology, drug design, and material science. Collaborations with experimental groups (e.g., Z. Dogic's lab) have led to discoveries in active matter dynamics and biomimetic systems.

Kenneth Jeffriesمشاهده پروفایل

دانشیار

• Comparative Physiology
• Transcriptomics
• Ecotoxicology
• +۴ مورد دیگر

Dr. Kenneth Jeffries is an Associate Professor in the Department of Biological Sciences at the University of Manitoba’s Faculty of Science. His research bridges comparative physiology, transcriptomics, and ecotoxicology to study environmental stress responses in aquatic ectotherms. Education: BSc (First Class Honours) - University of Calgary, MSc - University of Calgary, PhD - University of British Columbia, Postdoc - University of California, Davis Jeffries’ work focuses on defining sub-lethal thermal thresholds, contaminant effects in aquatic systems, and transcriptomic responses to environmental stressors. His lab specializes in non-lethal sampling techniques and high-throughput gene expression analysis using OpenArray™ technology for species like salmonids, sturgeons, and lampreys. Key projects include: Arctic ecosystem studies using truncate soft-shell clams as biomonitor species Development of stress transcriptional profiling (STP) chips for rapid biomarker assessment Thermal and contaminant stress interactions in freshwater fish populations Conservation genomics applications for invasive species management Recent article trends emphasize transcriptomic approaches to climate change impacts, thermal stress mechanisms, and contaminant flow in Arctic ecosystems. His collaborations include GEN-FISH, Fisheries and Oceans Canada, and the Great Lakes Fishery Commission. Scientific Awards: Mitacs Postdoctoral Fellowship NSERC Postdoctoral Fellowship Inside JEB feature (2016, 2023) Editor’s Choice (Journal of Experimental Biology, 2023) Jeffries supervises PhD, MSc, and Honours students while leading the Jeffries Lab, which maintains partnerships with the IISD–Experimental Lakes Area and other institutions. His lab also develops DNA metabarcoding resources for Arctic benthic monitoring.

Ronald D. Haynesمشاهده پروفایل

استاد

• Numerical Analysis
• Partial Differential Equations
• Optimization Algorithms
• +۲ مورد دیگر

Ronald D. Haynes is a Full Professor and Chair of Scientific Computing Graduate Programs in the Department of Mathematics and Statistics at Memorial University of Newfoundland. He leads research in numerical methods for PDEs and industrial-scale optimization problems. His work develops advanced domain decomposition techniques, adaptive mesh methods, and parallel computing approaches for solving complex physical systems. Applications include modeling pitting corrosion of materials, predicting rock strength for drilling optimization, and simulating multiphase fluid flows in porous media. Recent publications demonstrate innovations in mesh adaptation, parallel algorithms, and machine learning applications for industrial problems. Collaborative projects have addressed reservoir simulation, drill bit analysis, and corrosion prediction through integrated computational approaches. Professor Haynes has received the President's Award for Outstanding Research (2018) and Dean of Science Distinguished Teaching Award (2017). He serves as Co-editor-in-chief of the CAIMS Mathematics in Science and Industry Journal and was President-Elect of the Canadian Applied and Industrial Mathematics Society (2023-2025). He maintains active doctoral supervision with current research groups focusing on domain decomposition methods, closest point algorithms, and optimization techniques. Industry partnerships include projects with ExxonMobil and Global Maritime addressing drilling optimization and mooring design challenges.

Naftali Razمشاهده پروفایل

استاد

• Human Brain Aging
• Cognitive Aging
• Metabolic Risk Factors
• +۴ مورد دیگر

Naftali Raz is a Professor of Psychology at Stony Brook University, specializing in Integrative Neuroscience. He holds a Ph.D. from the University of Texas at Austin (1985) and a B.A. from the Hebrew University of Jerusalem (1979). His research focuses on understanding age-related changes in the brain and cognition, particularly exploring metabolic, vascular, and inflammatory risk factors influencing cognitive aging. He employs neuroimaging techniques such as MRI, MRS, and fMRI to study brain structure, function, and metabolism in healthy aging populations. Raz’s research emphasizes the 'FRIENDS' model (Free-Radical Induced Energetic and Neural Decline in Senescence), linking aging to energy production decline. His work includes longitudinal studies on brain atrophy, myelin content, and iron accumulation. He investigates how physiological risk factors like cardiovascular disease and metabolic syndrome impact neurocognitive trajectories. Current grants include NIA funding for neural correlates of cognitive aging and hippocampal glutamate modulation studies. Education: Ph.D. in Psychology, University of Texas at Austin (1985) B.A. in Psychology, Hebrew University, Jerusalem, Israel (1979) Labs/Facilities: Integrative Neuroscience Group, SCAN Center (Stony Brook Advanced Neuroimaging) His publications span over three decades, with recent works on recognition memory strategies, hippocampal subfield analysis, and cerebral blood flow dynamics. Collaborations include multi-institutional projects on neuroimaging protocols and aging mechanisms.

• Sepsis
• Innate Immunity
• Neonatal Immunology
• +۵ مورد دیگر

Andrew Currie is a Professor and Associate Dean (Research & Innovation) at Murdoch University's School of Medical, Molecular and Forensic Sciences, within the College of Environmental and Life Sciences. He leads the Sepsis Diagnostics Research Group at the Centre for Molecular Medicine and Innovative Therapeutics and co-heads the Neonatal Infection and Immunity Team with Clinical Professor Tobias Strunk at the Wesfarmers Centre of Vaccine & Infectious Diseases at Telethon Kids Institute. His research focuses on immunology and infectious diseases in pediatric populations, particularly sepsis diagnostics and neonatal immunity. Education: PhD (Immunology, University of Western Australia, 2001); BSc (Biotechnology with Honors, Murdoch University, 1997). Research Interests: Sepsis diagnostics, innate immunity mechanisms in neonates, medical biotechnology for diagnostics (e.g., biosensors), and translational research in pediatric infections. Collaborates internationally with institutions in Canada, Denmark, the UK, US, and China. Aims to reduce sepsis burden in vulnerable populations through advanced molecular methods and interdisciplinary partnerships. Key Affiliations: Lead of Sepsis Diagnostics Research Group (Murdoch University), Senior Lecturer in Immunology, Honorary Associate at Kids Research Institute Australia. Past roles include leadership in the Centre for Molecular Medicine and Innovative Therapeutics. Scientific Contributions: Over 100 peer-reviewed articles focusing on sepsis biomarkers, neonatal immunity, tick-borne diseases, and clinical trials for interventions like vitamin C and probiotics in critical illness. Active in developing precision medicine approaches for neonatal sepsis. Grants & Funding: Co-leads major projects on sepsis diagnostics and neonatal infection, supported by national and international grants. Collaborates on multi-institutional initiatives. Labs/Teams: Sepsis Diagnostics Research Group (Murdoch) and Neonatal Infection and Immunity Team (Telethon Kids Institute). Works closely with the Personalised Medicine Centre and Health Futures Institute.

Kirk R. Pruhsمشاهده پروفایل

استاد

• Algorithmic problems related to green computing
• Fair allocation
• Resource management
• +۳ مورد دیگر

Professor Kirk R. Pruhs is a full Professor in the Department of Computer Science at the University of Pittsburgh's School of Computing and Information. He holds editorial roles at journals such as the Journal of Scheduling and ACM Transactions on Algorithms. His research focuses on algorithmic problems in green computing, scheduling, online optimization, and resource management. Pruhs has advised numerous PhD students and has a strong publication record in top venues like SODA, STOC, and FOCS. His work often addresses energy-efficient algorithms and computational resource management. Notable contributions include studies on stochastic scheduling, energy-efficient routing, and competitive analysis of online algorithms. Education: BS in Mathematics and Computer Science from Iowa State University (1984), PhD in Computer Science from University of Wisconsin-Madison (1989). Research Interests: Algorithmic challenges in green computing, fair allocation mechanisms, scheduling under uncertainty, and online optimization techniques. He explores how computational methods can improve energy efficiency and resource allocation in distributed systems. Recent articles focus on robust scheduling strategies, stochastic systems, and algorithmic approaches to network design and resource optimization. His work bridges theoretical computer science with practical applications in sustainable computing. Students: Includes Jonathan Beaver (2006), Mohamed Aly (2008), Christine Chung (2009), Daniel Cole (2013), Neal Barcelo (2015), Michael Nugent (2015), and Alireza Samadian Zakaria (2021). Labs/Teams: Engaged in algorithm design and analysis within the Department of Computer Science, contributing to initiatives in computational sustainability and high-performance computing.

Vivy Suhendraمشاهده پروفایل

دانشیار

• Software Assurance
• Security and Privacy
• Cybersecurity
• +۱ مورد دیگر

Vivy Suhendra serves as Associate Professor of Practice and Programme Director for Master Programmes at the National University of Singapore's School of Computing, while also holding the position of Assistant Dean for Graduate Studies. Previously, she led the Singapore Cybersecurity Consortium (SGCSC) as Executive Director from 2016 to 2022, driving collaborative cybersecurity research between academia, industry, and government agencies. Her career at NUS spans over two decades, beginning as a Research Assistant before advancing to her current leadership roles. Her academic credentials include: Ph.D. in Computer Science, National University of Singapore (2009). Thesis: "Memory Optimizations for Time-predictable Embedded Software". Advisors: Abhik Roychoudhury and Tulika Mitra. B.Comp. (Honors) in Computer Science, National University of Singapore (2004). Dr. Suhendra's research integrates Software Assurance, Cybersecurity, Security and Privacy, and Embedded Systems domains. Her work bridges theoretical foundations with practical applications, particularly in national cybersecurity ecosystem development, smart grid security protocols, denial-of-service mitigation techniques, and real-time embedded system optimization. This interdisciplinary approach enables innovative solutions for critical infrastructure protection and time-predictable software execution in multi-core environments. Her 14 selected publications (2004-2020) demonstrate an evolving research trajectory from foundational embedded systems timing analysis to applied cybersecurity solutions. Early work focused on memory optimization for predictable execution in multi-core embedded systems, which naturally transitioned into cybersecurity applications for smart grids, cloud environments, and national infrastructure. This progression highlights her ability to translate low-level system expertise into high-impact security frameworks for complex real-world systems. Scientific recognition includes: Microsoft Research Asia Fellowship (2006) Valedictorian at NUS School of Computing Ph.D. Commencement (2010) While specific graduate student advising details aren't provided, her leadership as SGCSC Executive Director involved extensive mentorship across academic-industry partnerships. She has also contributed significantly to the research community through roles including Conference Chair for ESEC/FSE 2022 and Workshops Committee Member for ICSE 2024. Dr. Suhendra established the Singapore Cybersecurity Consortium as a national platform for collaborative R&D during her directorship (2016-2022). Though no personal laboratory is specified, her research leadership manifests through cross-institutional teams focused on cybersecurity innovation, particularly in critical infrastructure protection and embedded systems security where she maintains active publication records.

Gordon J. Staceyمشاهده پروفایل

استاد

• Star Formation
• Galaxy Formation and Evolution
• Far-Infrared/Submillimeter Spectroscopy
• +۴ مورد دیگر

Gordon J. Stacey is the David C. Duncan Professor in the Physical Sciences and CCAT Project Director at Cornell University's Department of Astronomy. He received his PhD in Astronomy from Cornell in 1985 and joined the faculty in 1991 after postdoctoral work at UC Berkeley. His research focuses on star and galaxy formation across cosmic time, utilizing far-infrared/submillimeter spectroscopy. He leads the CCAT Project, developing the FYST telescope in Chile, and is Principal Investigator for the POEMM mission targeting protoplanetary disks. Notable contributions include instrumental advancements like ZEUS-2 and EoR-Spec, as well as seminal studies on [CII], [NII], and [OIII] lines in high-redshift galaxies. Education: PhD in Astronomy from Cornell University (1985). Research emphasizes interstellar medium interactions, cosmic evolution, and instrumentation. Key projects include EoR-Spec for FYST (first light 2027) and the VIPA-based POEMM mission (2029 balloon flight). Awards include the David C. Duncan Professorship. His work bridges observational cosmology, galaxy evolution, and technological innovation in astronomy. Scientific awards include the endowed David C. Duncan Professorship. Current roles involve directing the CCAT Project and advancing instrumentation for submillimeter astronomy. Future projects focus on protoplanetary disk studies via POEMM and FYST observations of the Epoch of Reionization.

Ali Yetisenمشاهده پروفایل

مدرس ارشد

• Nanotechnology
• Biomedical Engineering
• Medical Biotechnology Diagnostics
• +۳ مورد دیگر

Dr. Ali Yetisen is a Senior Lecturer in the Department of Chemical Engineering at Imperial College London and serves as Director of the Centre for Biochemical Sensors. He specializes in developing biophotonic medical devices, biochemical sensors, and optical materials for applications in medical diagnostics, therapeutics, and imaging. His research focuses on creating wearable and implantable sensors for real-time biomarker monitoring, including projects on contact lens sensors for ocular diagnostics, microneedle patches for glucose monitoring, and holographic bandages for wound assessment. Education : PhD in Chemical Engineering and Biotechnology, University of Cambridge (2011–2014) MEd in Education, Imperial College London (2020–2023) B.S. in Mechanical Engineering, University of Arizona (2010) His research interests span nanotechnology, biomedical engineering, and photonics, with a focus on translating innovations into clinical solutions. Notable work includes engineering living biosensors for dermal tattoos and quantum dot-based lateral flow assays for rapid disease detection. He has held roles such as Tosteson Fellow at Harvard University and currently serves as Warden of Parsons Hall at Imperial College. Research Trends : Recent publications emphasize wearable biosensors, AI-integrated diagnostic systems, and point-of-care technologies. His team’s work bridges engineering and medicine, addressing challenges in diabetes management, glaucoma monitoring, and mental health biomarkers. Advising & Grants : While specific student names or grant details are not listed, his leadership in the Centre for Biochemical Sensors indicates active mentorship of researchers. The Centre collaborates with global academic and industrial partners to advance healthcare technologies. Labs & Teams : The Centre for Biochemical Sensors, housed in Imperial’s Faculty of Engineering, fosters interdisciplinary research with a focus on patient-centric design and open innovation. It includes a Management Board, Researcher Network, and External Advisory Board to drive impactful collaborations.

Patrick Jennyمشاهده پروفایل

استاد

• Computational Fluid Dynamics
• Turbulent Reactive Flows
• Multiphase Flow Modeling
• +۳ مورد دیگر

Prof. Patrick Jenny is a Full Professor at the Department of Mechanical and Process Engineering and Head of the Institute of Fluid Dynamics at ETH Zurich. His research focuses on computational fluid dynamics (CFD), numerical methods for turbulent and multiphase flows, and reservoir simulation. He has held positions at ChevronTexaco and Cornell University, and received the National Latsis Prize 2005. PhD in CFD from ETH Zurich (1997) Postdoctoral work at Cornell University (1997–1999) Senior Researcher at ChevronTexaco (1999–2003) Research interests include: turbulent reactive flows, PDF modeling, multi-scale reservoir simulation, and data assimilation in engineering systems. He teaches courses on fluid dynamics, turbulence, and computational methods. Over 100 peer-reviewed publications span topics like fracture modeling, LES/RANS coupling, and particle-laden flows. His work bridges academia and industry, addressing challenges in energy systems, environmental engineering, and numerical algorithms. Winner: National Latsis Prize 2005 Led over 20 PhD projects and collaborates with institutions globally. His lab develops open-source tools for CFD and energy systems analysis.

Rafe Mazzeoمشاهده پروفایل

استاد

• Differential Geometry
• Microlocal Analysis
• Partial Differential Equations (PDE)
• +۴ مورد دیگر

Rafe Mazzeo is a Professor of Mathematics and the Cassius Lamb Professor in Natural Sciences at Stanford University. He is affiliated with the Department of Mathematics, specializing in geometric analysis, partial differential equations, and differential geometry. His research focuses on areas such as Hitchin moduli spaces, Ricci flow, minimal surfaces, and geometric inverse problems. His expertise includes microlocal analysis, geometric PDE, and the analysis of singularities in geometric structures. Notable contributions involve the study of conical metrics on Riemann surfaces, the compactification of Hitchin moduli spaces, and the analysis of Ricci flow on manifolds with bounded geometry. His work often bridges geometric analysis with applications in physics, such as geometric inverse problems related to astrophysical systems. Publications highlight advancements in nonlinear flows, scattering theory on wave-guides, and the topological properties of moduli spaces. His research spans theoretical developments in spectral geometry, operator theory, and the geometric analysis of singular spaces. Mazzeo's work has implications for understanding geometric structures in both pure and applied contexts, including contributions to mathematical physics and geometric topology.

Mohamed Farhatمشاهده پروفایل

پژوهشگر

• Cavitation & Multiphase flows
• Flow Induced Noise & Vibration
• Fluid-Structure Interaction
• +۵ مورد دیگر

Mohamed Farhat is a Senior Scientist at EPFL's School of Engineering, Department of Mechanical Engineering, where he leads the Research Group on Cavitation and Interface Phenomena. He serves as PhD Director, Lecturer, and Member of EPFL Doctoral Committee (Mechanics), while also representing EPFL at CLUSER association and coordinating activities at the Société Hydrotechnique de France (SHF). His research expertise spans Cavitation & Multiphase flows, Flow Induced Noise & Vibration, Fluid-Structure Interaction, Flow control, Flow instabilities in hydro turbines and pumps, Condition monitoring of Hydraulic Machines, Hemodynamics, and Advanced Instrumentation in Fluid Dynamics. Farhat's work uniquely bridges fundamental fluid mechanics with practical applications across hydropower, marine propulsion, healthcare, and water management sectors. Analysis of his recent publications reveals strong focus on cavitation bubble dynamics, with particular emphasis on measurement techniques for collapsing bubbles, vortex shedding control, hydrodynamic monitoring of hydraulic machinery, and biomedical applications of cavitation phenomena. His work increasingly integrates advanced imaging techniques with computational modeling to understand complex multiphase flow phenomena. 2021: Life Sciences Book Award of the International Academy of Astronautics 2019: 1st Prize Winner of Scientific Image Contest (Swiss National Science Foundation) 2020: EPFL-Rhyming Prize (Best PhD thesis in Fluid Mechanics) 2018: EPFL-EDME Prize (Best PhD thesis in Mechanics) 2015: Edmund Optics Educational Award 2014: APS-DFD Gallery of Fluid Motion Award Farhat has successfully supervised numerous PhD students including Ali Amini, Philippe Ausoni, and Outi Supponen, with research spanning from fundamental bubble dynamics to practical hydraulic machinery applications. His Cavitation Research Group maintains strong collaborations with industry partners in hydropower and medical device sectors. Current research directions include advanced instrumentation for cavitation monitoring, condition-based maintenance of hydraulic machinery, and biomedical applications of cavitation phenomena in therapeutic ultrasound and drug delivery.

Marius Portmannمشاهده پروفایل

استاد

• Cybersecurity
• Computer Networks
• Internet of Things (IoT)
• +۳ مورد دیگر

Professor Marius Portmann is the UQ-Cisco Chair of Network Security at the School of Electrical Engineering and Computer Science (EECS), University of Queensland. His expertise spans Cybersecurity, IoT, and Applied AI. He holds a PhD from ETH Zurich (2003) and has led research in Software Defined Networking (SDN), blockchain, and energy-harvesting IoT systems. Education: PhD in Electrical Engineering from Swiss Federal Institute of Technology (ETH Zurich), 2003. Research focuses on securing IoT networks, AI-driven intrusion detection, and sustainable sensor systems. He has pioneered self-powered IoT systems using energy harvesters and developed frameworks like FlowTransformer for network analysis. His work bridges theoretical advancements with practical applications in smart tourism, energy efficiency, and edge computing. Recent publications highlight innovations in DDoS detection (P4-Secure), sensor-based environmental monitoring (EcoShower), and graph-based anomaly detection (XG-BoT). His datasets (e.g., NF-ToN-IoT-v3) are widely used in ML-based cybersecurity research. Collaborations include industry partners like Cisco and institutions like RMIT. Grants and leadership roles in interdisciplinary projects underscore his impact. He advises on IoT security standards and contributes to open-source tools for network research. Current projects explore edge-AI integration and sustainable sensor networks.