جست‌وجوی استاد و پژوهشگر

Lauren Bradfordمشاهده پروفایل

پژوهشگر

• Microbiology
• Molecular Biology
• Food Safety
• +۳ مورد دیگر

Lauren Bradford is a Researcher in the Department of Biology at Carleton University, affiliated with the Faculty of Science. She holds a B.Sc. in Biochemistry from the University of Alberta (2011), an M.Sc. in Earth and Environmental Sciences from McMaster University (2014), and a Ph.D. in Molecular Biology from Technische Universität München/Helmholtz Munich (2020). Her research focuses on microbiological and DNA-based detection methods for foodborne pathogens, particularly Salmonella, with a current project funded by the Ontario Ministry of Agriculture, Food and Rural Affairs (OMAFRA) and conducted in collaboration with the Canadian Food Inspection Agency (CFIA). Her research interests include food safety, molecular biology, and environmental science, with a focus on developing efficient diagnostic tools for pathogens. Recent work has explored transcriptomics analysis of BPA alternatives, perfluoroalkyl substances, and genomic approaches to pathogen detection in metagenomics datasets. Bradford’s contributions span microbial ecology, bioremediation, and genomic analysis of antibiotic resistance in aquatic bacteria. Her publications highlight advancements in pathogen detection pipelines, microbial degradation pathways, and the functional genomics of nitric oxide metabolism in contaminated environments. She actively contributes to projects addressing food safety protocols and environmental contaminant management.

• Laser Scanning
• Point Cloud Processing
• Geospatial Information Systems
• +۳ مورد دیگر

Tamás Lovas serves as Associate Professor at the Department of Photogrammetry and Geoinformatics, Faculty of Civil Engineering, Budapest University of Technology and Economics. He teaches advanced courses in Building Information Modeling, Laser Scanning, Remote Sensing, and Intelligent Transportation Systems while supervising diploma theses in Surveying and Geoinformatics Engineering. Education: 1994: High school graduation, Városmajor High School, Budapest 1999: Certified Surveyor and Geoinformatics Engineer, Budapest University of Technology, Faculty of Civil Engineering 2005: PhD (Earth Sciences), Budapest University of Technology and Economics, Faculty of Civil Engineering Research Interests: Dr. Lovas specializes in laser scanning technologies and geospatial data processing with emphasis on airborne and terrestrial point cloud analysis. His work bridges civil engineering applications and computational methods, particularly in infrastructure monitoring and digital representation. Processing, classification, and modeling of airborne laser scanned data Accuracy testing of terrestrial laser scanning Processing and modeling of terrestrial laser scanned data Comparative study of spatial data acquisition technologies His 2022-2025 publications demonstrate accelerating integration of artificial intelligence in point cloud processing, with significant contributions to road surface extraction, urban land cover classification, and BIM automation. Current research trends show strong focus on digital twin development for autonomous vehicles and infrastructure management. Scientific Awards: Republic Scholarship (1998-1999) Karlsruhe Chancellor's Scholarship (1999) ERASMUS scholarship (2000) Korányi Fellowship (2001-2002) János Bolyai Research Scholarship (2008-2011) OHV 1st place (2008) Dean's commendation for ERASMUS committee work (2014) For Students Award - Teaching Department (2017) Advising and Grants: Dr. Lovas mentors students through diploma theses and TDK research projects on topics including object survey with amateur sensors and hull modeling. His research funding includes the prestigious János Bolyai Research Scholarship and international fellowships supporting collaborations with institutions like The Ohio State University. Labs and Teams: As founding member and supervisory board member of the Hungarian BIM Association, he drives industry-academia collaboration. His leadership roles include Deputy Dean of Education at the Faculty of Civil Engineering and responsibility for English language training programs, facilitating international academic exchange.

Caryl Gronwallمشاهده پروفایل

استاد پژوهشی

• Astrophysics
• Cosmology
• Galaxy Evolution
• +۳ مورد دیگر

Caryl Gronwall is a Research Professor in the Department of Astronomy and Astrophysics at Pennsylvania State University. Her research focuses on high-energy astrophysical phenomena, galaxy evolution, and large-scale structure formation at cosmic noon. She utilizes multiwavelength observations from facilities like the Swift satellite, HETDEX, and the ODIN survey to study gamma-ray bursts (GRBs), Lyman Alpha Emitters (LAEs), and protoclusters. Key projects include analyzing GRB afterglows for transient characterization, investigating the intergalactic medium via Lyman Alpha absorption, and mapping galaxy clustering in high-redshift environments. Her work with LIGO/Virgo collaborations explores gravitational wave events through Swift/XRT follow-up observations. Research interests span cosmological structure formation, UV background measurements, and the evolution of star-forming galaxies. She contributes to surveys like UVCANDELS and the HETDEX Public Source Catalog, advancing understanding of galaxy populations and quenching mechanisms in protoclusters. Her recent studies highlight strong clustering of LAEs in ODIN fields, metallicity variations in Seyfert galaxies, and dust attenuation effects in nearby star-forming regions. Collaborative efforts with international teams address questions about cosmic reionization and the IRX-β relation in galactic regions.

Stuart Manglesمشاهده پروفایل

استاد

• Laser-Plasma Physics
• High-Intensity Lasers
• Particle Acceleration
• +۵ مورد دیگر

Professor Stuart Mangles is a leading academic in laser-plasma physics at Imperial College London's Department of Physics, part of the Faculty of Natural Sciences. His research focuses on high-intensity laser interactions, plasma-based accelerators, and applications in quantum electrodynamics (QED), X-ray imaging, and material science. He leads projects like the EuPRAXIA initiative, developing compact particle accelerators. Recent work includes experiments on radiation reaction effects, muon production, and ultrafast X-ray imaging of dynamic phenomena. Mangles' lab leverages cutting-edge laser facilities to explore topics ranging from warm dense matter to medical irradiation techniques. Research Highlights: Developing laser wakefield accelerators for compact, high-brightness X-ray sources Investigating quantum effects in ultra-high intensity laser-plasma systems Pioneering applications in radiobiology and industrial imaging Advancing shock dynamics and material phase transitions understanding His work bridges fundamental physics with applied technologies, with significant contributions to the European Strategy for Particle Physics and international collaborations.

Fatemeh Vafaeeمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Systems Biology
• +۵ مورد دیگر

Associate Professor Fatemeh Vafaee is a leading researcher at the University of New South Wales (UNSW) , holding appointments as Associate Professor in the School of Biotechnology and Biomolecular Sciences (BABS) and Deputy Director (Science) of the UNSW AI Institute . She previously served as Deputy Director of the UNSW Data Science Hub (uDASH) and has held academic positions at the University of Toronto and the University of Sydney. PhD in Artificial Intelligence from University of Illinois at Chicago Postdoctoral Fellowships at University of Toronto and University of Sydney Founded the AI-Enhanced Biomedicine Laboratory in 2017 Her research focuses on deploying advanced AI techniques to address biomedical challenges through: Biomarker Discovery for cancer and neurodegenerative diseases Single-Cell Multi-Omics data integration and analysis Computational Drug Repositioning and network pharmacology Multi-Omics Data Fusion and temporal network modeling Recent publications demonstrate expertise in liquid biopsy development , single-cell imaging , and AI-driven cancer diagnostics . Her methodological contributions include novel deep learning architectures for omics data analysis and graph neural networks for drug synergy prediction. Scientific accolades include: Winner, Women in AI Asia-Pacific Health Award (2023) Runner-Up, WAI-APAC Innovator of the Year (2023) Top 10 Women in AI in Asia-Pacific (2023) Australian Bioinformatics and Computational Biology Society Research Excellence Award (2023) She supervises PhD candidates across computational biomedicine and AI in healthcare , with significant grant achievements exceeding $17M in competitive funding, including schemes from ARC Discovery , NHMRC , and Medical Research Future Fund .

Katalin Demeterمشاهده پروفایل

استادیار

• Environmental Microbiology
• Water Quality Analysis
• Molecular Diagnostics
• +۳ مورد دیگر

Prof. Katalin Demeter is an Assistant Professor affiliated with TU Wien's Environmental Microbiology and Molecular Diagnostics Research Group (E166-05-3). Her work focuses on advancing water safety through genetic and molecular diagnostic methods, particularly in microbial source tracking and quantitative risk assessment. Key projects include the QMRAcatch framework for modeling infection risks in riverine systems and evaluating faecal pollution impacts from shipping and wastewater. She leads innovations in real-time bacterial monitoring via automated flow cytometry and collaborates on interdisciplinary studies addressing climate change effects on water quality. Her research bridges environmental microbiology with engineering solutions for public health protection. Education & Background : Holds a PhD in Environmental Microbiology (2023 thesis on genetic faecal markers). Extensive collaborations with institutions like the University of Antwerp and Wageningen University. Research Themes : Development of molecular tools for water quality analysis Microbial contamination in large river systems Quantitative microbial risk assessment (QMRA) Automated environmental monitoring technologies Recent Work Highlights : Advanced methodologies for sourcing faecal pollution, climate change adaptation strategies for water safety, and real-time microbial surveillance systems. Labs & Teams : Principal investigator in TU Wien's Environmental Microbiology group, contributing to EU-funded projects on water safety and ecological resilience.

• Hydrology
• Soil Erosion and Conservation
• Sediment and Water Interaction
• +۷ مورد دیگر

Dr. Fahimeh Mirchooli is a postdoctoral researcher in the Department of Geography at the University of Bonn, Germany, working within the AG Klaus research group. Her work focuses on hydrology, soil erosion, and sustainability of catchment systems. She holds a PhD in Natural Resource Engineering from Tarbiat Modares University, Iran, and has held academic research roles at Sari Agricultural Sciences and Natural Resources University and Hakim Sabzevari University. PhD, Natural Resource Engineering (Watershed Science and Engineering), Tarbiat Modares University, Iran, 2020 Visiting Researcher, University of Salzburg, Austria, 2019 MSc, Natural Resource Engineering (Watershed Management), Isfahan University of Technology, Iran, 2013 BSc, Natural Resource Engineering (Rangeland and Watershed Management), University of Tehran, Iran, 2011 Dr. Mirchooli's research centers on soil erosion and conservation , sediment-water interactions , spatial modeling using machine learning , and catchment health and sustainability . She integrates geospatial analysis, environmental modeling, and data science to assess land degradation, ecosystem services, and environmental risk. Her work often involves remote sensing, GIS, and hybrid modeling approaches combining empirical and machine learning techniques. Her recent publications (2018–2024) reflect a strong trend in environmental risk modeling , land degradation assessment , and machine learning applications in hydrology and soil science . Topics include gully erosion susceptibility, dust emission risk, flood modeling, and watershed sustainability. The interdisciplinary nature of her research spans ecology, geoscience, agricultural science, and public health . Scientific awards and honors include: Ranked 1st among PhD students in Watershed Management Sciences and Engineering (2020) 6th rank in national PhD entrance exam for Watershed Management (2015) George Forster Fellowship (2025) Sabbatical Scholarship from Ministry of Science, Research and Technology, Iran (2019–2020) Dr. Mirchooli has received research grants including the George Forster Fellowship and a Sabbatical Scholarship. While no formal advisees are listed, her collaborative publication record indicates active mentorship and team-based research. She is involved in hydrology and sustainability research within the AG Klaus group, contributing to projects on catchment health, erosion modeling, and environmental monitoring.

Tyler James Mackeyمشاهده پروفایل

استادیار

• Sedimentology
• Geobiology
• Carbonate Geochemistry
• +۳ مورد دیگر

Tyler James Mackey is an Assistant Professor at the University of New Mexico (UNM), specializing in sedimentology, geobiology, and Antarctic lake ecosystems. His research focuses on microbial communities in extreme environments, particularly in perennially ice-covered lakes of Antarctica. He holds a Ph.D. from the University of California, Davis (2016) and is a 2018 Agouron Institute Geobiology Fellow. His work integrates field studies and laboratory analyses to explore microbial habitats and their preservation in the rock record, with applications to understanding Earth's early evolution and astrobiology. Key Affiliations: Department of Earth and Planetary Sciences, UNM Education: Ph.D., University of California–Davis (2016) Research Interests: Sedimentology, geobiology, carbonate geochemistry, and diagenesis. He investigates microbial mat morphologies and their response to environmental changes, using ice-covered Antarctic lakes as analogs for early Earth and extraterrestrial habitats. His studies bridge modern ecosystems with ancient records, particularly in Neoproterozoic sediments. Recent Article Trends: Focus on Antarctic lake geochemistry, microbial carbonate formation, and isotopic signatures. His work employs cutting-edge techniques like metagenomics and clumped isotope analysis to trace environmental shifts over geological timescales. Awards: 2018 Agouron Institute Geobiology Fellowship Advising & Grants: Mackey advises students on Antarctic fieldwork and geochemical analyses. His grants support projects in microbial ecology and early Earth analog studies. Collaborations include work with international teams in Svalbard and Oman. Labs/Teams: Active in the EPS Research Group at UNM, focusing on sedimentology, geochemistry, and geobiology. Leads field expeditions to Antarctic lakes and lab-based geochemical experiments.

• Signal Processing
• Machine Learning
• Acoustic Engineering
• +۵ مورد دیگر

Manuel Rosa Zurera is a Full Professor at the Universidad de Alcalá, specializing in Signal Theory and Communications. He leads the AES3 research group focused on Acoustic and Electromagnetic Smart Sensor Networks and Signal Processing. His research emphasizes machine learning applications in audio analysis, biomedical signal processing, and passive radar systems. Dr. Rosa holds a PhD from Universidad de Alcalá (1999), supervised by Francisco López Ferreras. Research Interests : Dr. Rosa’s work spans acoustic signal localization, UAV detection, emotion recognition via speech analysis, and evolutionary studies of hominin auditory systems. His innovations include robust detection algorithms for passive radar, energy-efficient anger detection systems, and age/gender classification from speech using neural networks. He has pioneered acoustic sensor networks for urban security and biomedical diagnostics. Key Contributions : Over 150 peer-reviewed articles since 1999 demonstrate his expertise in signal processing for aerospace flutter analysis, real-time violence detection in smart cities, and 3D reconstruction of Neanderthal auditory capacities. His work bridges theoretical signal processing with practical applications in healthcare, surveillance, and evolutionary anthropology. Labs/Teams : Directs the AES3 group and collaborates on EU-funded projects like DVB-T radar systems and acoustic drone detection initiatives. Active in designing microphone arrays for hearing aids and wireless sensor networks.

Kashif Rajpootمشاهده پروفایل

استاد

• Medical AI
• Medical Image Analysis
• Cardiac Electrophysiology
• +۷ مورد دیگر

Kashif Rajpoot is a Professor of Medical AI and Deputy Head of the School of Computer Science at the University of Birmingham Dubai. He is actively engaged in research at the intersection of artificial intelligence and medicine, with a focus on medical image analysis, cardiac electrophysiology, computational pathology, and data science. His educational background includes a PhD in Engineering Science from the University of Oxford (2009) and an MSc in Digital Signal & Image Processing from De Montfort University (2003). His research interests span the development of AI-driven solutions for medical diagnostics and analysis. Key areas include automated interpretation of whole slide images in pathology, signal processing in cardiac electrophysiology, and biomarker discovery for neurological and metabolic disorders. His work combines computational modeling with experimental validation in biomedical contexts. The recent publications reflect a strong trend toward integrating deep learning and signal processing in healthcare, particularly in digital pathology and cardiovascular imaging. His contributions include software tools like ElectroMap for high-throughput cardiac data analysis and methodological advances in NMR and histology image analysis. Unleashing the potential of AI for pathology: challenges and recommendations (2023) Validation of plasma protein glycation and oxidation biomarkers for autism (2023) Automated analysis of NMR spectra (2023) Handcrafted histological transformer for whole slide images (2023) High-resolution optical mapping in preclinical models (2022) Kashif Rajpoot has published over 60 papers in top-tier journals and conferences. His scientific contributions include interdisciplinary collaborations in AI for healthcare, cardiac imaging, and biomarker research. While specific grant details are not listed, his publication record suggests active funding and research leadership. He has contributed to open-source software development and methodological innovation in medical AI. He is involved in research teams focusing on medical AI, cardiac electrophysiology, and computational pathology, often collaborating with experts in pathology, cardiology, and biochemistry. His lab likely supports projects in AI-driven diagnostics, image analysis, and biomedical data science.

Ana Sofia Ribeiro Duarteمشاهده پروفایل

پژوهشگر

• Antimicrobial Resistance
• Food Safety Epidemiology
• Quantitative Microbial Risk Assessment
• +۷ مورد دیگر

Ana Sofia Ribeiro Duarte is a Senior Researcher at the National Food Institute, Technical University of Denmark (DTU), specializing in food safety epidemiology and antimicrobial resistance. She leads the Research Group for Foodborne Pathogens and Epidemiology within the DTU Microbes Initiative and serves as Project Manager for the DANMAP surveillance program. Dr. Duarte actively supervises PhD students and contributes to international research collaborations across Europe and Africa. Her educational background includes a PhD in The interpretation of quantitative microbiology data: meeting the demands of quantitative microbiological risk assessment from the National Food Institute (awarded 2013) and a combined Doctor of Veterinary Medicine (DVM) and Master of Science (MSc) in Veterinary Epidemiology from the University of Lisbon (awarded 2009). Dr. Duarte's research focuses on antimicrobial resistance in food systems, with particular expertise in quantitative microbial risk assessment, source attribution modeling, and metagenomics applications for surveillance. Her work bridges veterinary medicine, public health, and food safety through a One Health approach, examining transmission pathways between animals, food, and humans. She has pioneered the application of genomic data in risk assessment methodologies and has developed innovative surveillance techniques using metagenomics. Analysis of her recent publications reveals a strong emphasis on Escherichia coli resistance mechanisms, zoonotic pathogen transmission, and the development of integrated surveillance systems that connect animal, human, and environmental health data. Her research increasingly incorporates advanced modeling techniques and genomic approaches to understand resistance transmission dynamics across the food chain. Best Oral Presentation (2010) Dr. Duarte actively mentors PhD students including H. M. Stratton (investigating antimicrobial resistance at the domestic animals-wildlife-environment interface) and M. B. Hallgren (developing strategies to reduce antimicrobial resistance burden). She has secured significant research funding including the AMELIORATE project (heAvy MEtaL and antImicrObial Resistance exposure through wAsTe in kEnya) running from 2025-2029. Her teaching activities include international courses on quantitative microbial risk assessment under European Commission programs and a successful Coursera MOOC on metagenomics for pathogen surveillance. She leads the DTU Microbes Initiative's research on foodborne pathogens and epidemiology, contributing to the DANMAP surveillance program which monitors antimicrobial use and resistance across Denmark's food production chain. Her international collaborations span institutions in Austria, Australia, Spain, and Kenya, reflecting the global nature of antimicrobial resistance challenges.

Daniel Adlerمشاهده پروفایل

دانشیار

• Palaeolithic Archaeology
• Human Evolution
• Lithic Technology
• +۹ مورد دیگر

Daniel Adler is an Associate Professor in the Department of Anthropology at the University of Connecticut, where he contributes significantly to Paleolithic archaeology and human evolution studies. He holds a Ph.D. from Harvard University (2002) and leads interdisciplinary research projects in the Caucasus, particularly in Georgia and Armenia. Ph.D., 2002, Harvard University His research focuses on human behavioral ecology, Neanderthal-modern human interactions, lithic technology, zooarchaeology, and the factors behind Neanderthal extinction. He has directed excavations since 1995 in Eurasia, including key projects in Georgia (Akhalkalaki, Ortvale Klde) and Armenia (Nor Geghi 1, Lusakert Cave). His work combines field surveys, excavation, and advanced analytical methods such as obsidian sourcing and tephrochronology. Recent publications reveal a strong trend in understanding Paleolithic technological organization, fire use, landscape dynamics, and chronological frameworks across the Southern Caucasus. His interdisciplinary approach integrates geochemistry, geomorphology, and lithic analysis to reconstruct hominin behavior and environmental contexts during the Middle and Upper Paleolithic periods. Daniel Adler has received no explicitly mentioned scientific awards in the provided text. He teaches courses such as ANTH 2501 (Introduction to Archaeology), ANTH 3514 (European Prehistory), ANTH 4510/5345 (The Neanderthals), and ANTH 5517 (Hunter-Gatherers Past and Present). He runs an archaeological field school in Armenia through UConn’s Office of Study Abroad, supported by the Norian Armenian Programs Committee and external funding, indicating active grant involvement and student mentorship. His research is conducted through the Paleolithic Studies Lab at UConn, where he collaborates with an international team of researchers and students on projects spanning Armenia and the broader Caucasus region.

• Experimental Nuclear Physics
• Experimental Particle Physics
• Parity-Violating Electron Scattering
• +۷ مورد دیگر

D.S. Armstrong is the Chancellor Professor of Physics at the College of William & Mary , where he leads a research group focused on experimental nuclear and particle physics. He conducts major experiments at Jefferson Lab, including Qweak, PREx, CREx, and the upcoming MOLLER experiment, all aimed at precision tests of the Standard Model through parity-violating electron scattering. Chancellor Professor of Physics, College of William & Mary Primary research site: Jefferson Lab, Newport News, VA Research group leads in precision weak interaction measurements and hadronic structure Education B.Sc., McGill University, 1981 M.Sc., Queen's University, 1984 Ph.D., University of British Columbia, 1988 Armstrong's research centers on experimental nuclear and particle physics , particularly precision measurements of the proton's weak charge and the neutron skin in nuclei. His group uses polarized electron beams to probe parity-violating asymmetries in electron-nucleus scattering, providing stringent tests of the Standard Model and insights into quark contributions to nucleon structure. His work on the G0 experiment explored strange quark effects, while Qweak delivered the first direct measurement of the proton’s weak charge, published in Nature (2018). Current efforts focus on the MOLLER experiment , which will achieve even higher precision in weak mixing angle measurements. The recent publications reflect a strong trend toward precision electroweak physics , with increasing focus on detector calibration , tracking efficiency , and background suppression in next-generation experiments like MOLLER. The subfields span parity violation, hadronic structure, strange quark contributions, and advanced simulation techniques using GEANT4. Scientific Awards: Monica Potkay Advisor of the Year, 2022 Armstrong has advised over 30 PhD and senior thesis students, many of whom have pursued academic and research careers at institutions like MIT, Stanford, Jefferson Lab, and NASA. His research is supported by the National Science Foundation (NSF) and Department of Energy (DOE), including recent funding for the MOLLER experiment from NSF and the Canadian Foundation for Innovation (CFI). He also contributes to broader scientific service, including faculty governance and development of open-source educational resources like the Virginia Physics Flexbook. His team collaborates extensively with national laboratories, particularly Jefferson Lab, and includes active graduate students such as Ezekiel Wertz, Kate Evans, and Tasneem Raza. The group emphasizes both experimental hardware development and advanced data analysis, including machine learning applications for particle identification and track reconstruction.

Beata Sternalمشاهده پروفایل

استادیار

• Marine Geology
• Sedimentation Processes
• Coastal and Shelf Environments
• +۵ مورد دیگر

Dr. Beata Sternal is an assistant professor at Adam Mickiewicz University, affiliated with the Geohazards Research Unit. Her research focuses on marine geology, particularly sedimentation processes in coastal and shelf environments across diverse regions including the Vietnamese Shelf of the South China Sea, Thailand Coast of the Indian Ocean, Sendai Plain in Japan, SW Spitsbergen in the Arctic Ocean, and Northern Norway's fjords. She employs sedimentological (grain-size, X-ray imaging), geochemical (radioisotopes, TOC, SEM-EDS), and mineralogical (heavy and clay minerals) methods. Education: BSc and MSc in Geology (Vietnamese Shelf studies), PhD in Earth Sciences (Arctic Ocean/SW Spitsbergen research). Her publications highlight expertise in heavy mineral analysis, mine tailing dispersion, and paleoenvironmental reconstruction. She has contributed to understanding human-induced environmental changes in Arctic fjords and sediment dynamics from catastrophic events like the 2004 Indian Ocean and 2011 Tohoku tsunamis.

• Static and dynamic analysis
• Program transformations
• Web security
• +۴ مورد دیگر

David Klein is a PhD Candidate at the Institute for Application Security , part of the Carl Friedrich Gauss Faculty at TU Braunschweig . His work focuses on web security and privacy , with specific expertise in static and dynamic analysis of vulnerabilities, program transformations, and GDPR compliance frameworks. David's research spans multiple subfields, including browser fingerprinting, cross-site scripting (XSS), and memory corruption in WebAssembly. His 15 most recent publications (2013–2025) investigate topics like HTML sanitizer bypasses , privacy-enforcement frameworks , and developer behavior in privacy implementation . His work has been presented at top venues like USENIX Security , IEEE S&P , and PETS . 2024: Distinguished Paper Award Winner at 33rd USENIX Security Symposium David actively participates in program committees for conferences such as ACM CCS , USENIX Security , and IEEE Euro S&P , contributing to the peer-review process in cybersecurity and privacy research.