جست‌وجوی استاد و پژوهشگر

Lauren Millerمشاهده پروفایل

استادیار

• Glaciology
• Sedimentology
• Coastal Geomorphology
• +۳ مورد دیگر

Dr. Lauren Miller is an Assistant Professor in the Department of Environmental Sciences at the University of Virginia, leading the Ice & Ocean Group. Her research integrates sedimentology and geomorphology to study past changes in coastal, marine, and glacial environments, with a focus on reconstructing ice sheet behavior and subglacial processes using geological archives. University of Virginia, Department of Environmental Sciences Ice & Ocean Group leader NSF Office of Polar Programs-funded research Specializes in glacial geomorphology and paleoenvironmental reconstruction Dr. Miller’s work examines glacial retreat mechanisms, subglacial meltwater dynamics, and coastal evolution through sediment core analysis and marine geophysical datasets. Her research spans Antarctica, Greenland, and temperate glaciated regions like the Puget Lowland. Current projects include sedimentological studies of Antarctic continental shelf cores to understand ancient glacial processes and modern ice sheet instability. Recent publications highlight her expertise in subglacial hydrology, ice shelf stability, and topographic controls on glacier retreat. She actively mentors graduate students and collaborates on interdisciplinary projects related to polar science and sustainability. Dr. Miller’s research is supported by grants from the NSF Office of Polar Programs, International Union for Quaternary Research, UVA H.G. Goodell Endowment, UVA Committee on Sustainability, and UVA Environmental Institute. She provides technical guidance for fieldwork and laboratory analyses, including sediment core sampling, grain micromorphology, and statistical modeling of glacial datasets. Her group emphasizes ethical research practices and community engagement in polar science through initiatives like CryoCommunity.

• Computation Theory and Mathematics
• Computer Software
• Cognitive Sciences
• +۳ مورد دیگر

Iain Phillips is a Senior Lecturer in the Department of Computing at Imperial College London, within the Faculty of Engineering. His research focuses on theoretical computer science, particularly in reversible computation, process calculi, and formal methods. He explores foundational topics such as event structures, concurrency semantics, and axiomatic systems for reversible systems. His work bridges mathematics and computer science, addressing challenges in concurrency theory, algorithm design, and software engineering. Key research areas include reversible process calculi (e.g., π-calculus), event structure semantics, and formal verification of concurrent systems. He investigates how reversibility can improve computational models, error recovery, and system design. His contributions span axiomatic frameworks for reversible computation, taxonomy development for reversible approaches, and applications in software transactional memory and session types for parallel programming. Phillips has published extensively on topics like CCSK protocols, controlled reversible systems, and type-safe web programming using TypeScript. His research emphasizes theoretical rigor while addressing practical challenges in distributed systems and concurrent software development.

Richard Plotkinمشاهده پروفایل

دانشیار

• Black Hole Astrophysics
• Accretion Physics
• Relativistic Jets
• +۳ مورد دیگر

Richard Plotkin is Associate Professor and Physics Graduate Admissions Director at University of Nevada, Reno, specializing in accreting black holes across mass scales. His multiwavelength research probes accretion flows, relativistic jets, and black hole populations. Education: Ph.D. Astronomy (University of Washington, 2009), M.S. Astronomy (2004), B.S. Astronomy/Physics (University of Michigan, 2003). Investigates quiescent black hole binaries, low-luminosity AGN, and X-ray source populations. Research uses space/ground telescopes to study disk-jet coupling and accretion physics. Recent JWST work reveals outflows in quiescent black holes, while radio studies examine jet variability. Publications demonstrate expertise in black hole accretion states across stellar-mass to supermassive systems. Teaches astrophysics courses and directs graduate admissions. Leads studies of changing-look quasars and dwarf galaxy black holes through major telescope allocations.

Sebastian Sosaمشاهده پروفایل

پژوهشگر

• Animal Social Networks
• Primate Behavior
• Evolutionary Anthropology
• +۳ مورد دیگر

Sebastian Sosa is a researcher at the Max Planck Institute for Evolutionary Anthropology's Department of Human Behavior, Ecology and Culture. He holds a PhD in Ethology and has held postdoctoral positions at institutions including the University of Strasbourg and Sun Yat-Sen University. His research focuses on animal social networks, particularly mechanisms underlying social structure formation and their evolutionary implications. He employs advanced statistical and network analysis methods, including the development of the ANTs R package for social network analysis. Education: PhD (summa cum laude) in Ethology, Primatology & Social Network, University of Barcelona (2010–2014) Master's in Human and Animal Behaviour, University of Rennes I (2009–2010) Master's in Ethology, University of Paris XIII (2008–2009) Bachelor's in Biology, Paul Sabatier University (2007–2008) Research Interests: Dr. Sosa investigates how ecological and social factors shape animal societies, using multilevel methodologies to analyze affiliative and agonistic interactions. His work integrates field observations, statistical modeling, and network theory to understand group dynamics, hierarchical organization, and adaptive strategies in species ranging from primates to cattle. Recent studies emphasize the role of social networks in stress physiology, multilevel societies, and the impact of anthropogenic interventions on animal behavior. Publications: His research spans topics like telomere dynamics in ground squirrels, social network analysis methodologies, and the application of drone technology in behavioral studies. Over 30 peer-reviewed articles reflect his interdisciplinary approach, with a focus on primatology, ecology, and quantitative biology. Awards & Grants: GDR grant (2018): 1,000€ for Sunbelt Conference participation ESA cover credit (2021): Ecological Society of America Advising & Teaching: Supervised master's students on projects like cascading aggression effects in zebra finches and multilevel horse societies. Taught courses on social network analysis and field data collection methods. Labs & Collaborations: Co-developed the ANTs R package, a widely used toolkit for animal social network analysis. Collaborates globally on primate behavior, macaque social styles, and cattle management.

Anwarul Patwaryمشاهده پروفایل

مدرس

• Deep Learning
• Graph Machine Learning
• Graph Theory
• +۷ مورد دیگر

Anwarul Patwary is a Lecturer in the Department of Computer Science and Software Engineering at the University of Western Australia (UWA), affiliated with the School of Physics, Maths and Computing. He holds a PhD in Computer Engineering from the University of Tasmania (2015–2020). His research focuses on deep learning, graph theory, distributed systems, and cybersecurity with applications in IoT, cloud computing, and astrophysics. Education: BSc (Honors) in IT, Universiti Utara Malaysia (UUM) MSc in Computer Science, Universiti Putra Malaysia (UPM) PhD in Computer Engineering, University of Tasmania (UTAS) Research interests include scalable graph partitioning algorithms, privacy-preserving AI frameworks for IoT, and gravitational wave analysis. His work addresses challenges in dynamic systems optimization, cybersecurity in distributed environments, and agricultural automation through deep learning. Publications span interdisciplinary topics such as weed species classification, early warning systems for astrophysical events, and cloud-based matrix operations. He actively collaborates on projects funded by international research networks and participates in initiatives like the SPIIR search for gravitational wave alerts. Labs/Teams: Engaged in UWA’s research groups focused on distributed computing and graph analytics, contributing to open-source frameworks for real-time data partitioning and scalable services.

• Software Engineering
• Cybersecurity
• IoT and Sensor Networks
• +۳ مورد دیگر

Assoc. Prof. Tosin Daniel Oyetoyan is affiliated with the Department of Computing, Mathematics, and Physics at the Western Norway University of Applied Sciences. His academic role focuses on software engineering, cybersecurity, and marine data systems. He leads research in software architecture design, IoT security, and environmental data management. His work bridges theoretical software principles with practical applications in marine technology and agile methodologies. Research Interests: Software architecture patterns for heterogeneous systems Cybersecurity in IoT and cloud environments Data observability and quality in marine sensor networks Empirical analysis of developer security practices API specification repositories and governance His recent publications (2020-2025) emphasize software systems for marine data observatories, cybersecurity in agile teams, and formal specification of environmental monitoring platforms. Noteworthy trends include cross-disciplinary approaches combining software engineering with environmental science. Scientific contributions include frameworks for threat analysis in IoT, empirical studies on developer security competencies, and modular smart ocean observatory designs. His work on data quality requirements for marine systems has informed international standards development. Current projects focus on: Formal specification of marine data platforms Executable architectures for environmental monitoring Agile security practices in distributed teams

• Astronomy
• Astrophysics
• Galactic HII Regions
• +۴ مورد دیگر

Loren Anderson is a Professor in the Department of Physics & Astronomy at West Virginia University (WVU). His research focuses on Galactic HII regions and their role in understanding galactic structure, leading major projects like the GBT Diffuse Ionized Gas Survey and the WISE Catalog of Galactic HII Regions. He also directs the astrophysics REU program for undergraduates and the Mapping the Milky Way outreach project, engaging high school students in discovering new HII regions using the Green Bank Telescope. Education: Ph.D., Boston University (2009); B.A., Whitman College (2002). He joined WVU as an assistant professor in 2011, after postdoctoral work with Annie Zavagno and Lise Deharveng on Herschel data. His teaching spans observational astronomy, the interstellar medium, and stellar structure, with courses like ASTR367/368 Astrophysics I/II and graduate seminars. Research interests include ionization processes in HII regions, galactic structure, and radio astronomy techniques. Anderson is actively involved in large-scale surveys like THOR (H I/OH/Recombination Line Survey of the Milky Way) and has contributed to understanding star formation and interstellar medium dynamics.

Paul Harrisمشاهده پروفایل

استاد

• Biomedical Informatics
• Clinical Trials Innovation
• Electronic Data Capture Systems
• +۳ مورد دیگر

Paul Harris is a Professor of Biomedical Engineering and Biomedical Informatics at Vanderbilt University's School of Engineering. He leads research in clinical trial innovation, electronic data capture systems, and participant-centered research strategies. His work focuses on operational efficiencies in multi-site studies, recruitment/retention methodologies, and leveraging AI in healthcare research. Education: Ph.D. and M.S. in Biomedical Engineering from Vanderbilt University, B.S. in Mechanical Engineering from Tennessee Technological University. Research emphasizes REDCap platform development, All of Us Research Program infrastructure, and Genomic data integration. Key contributions include AI-driven abstract summarization, standardized clinical trial site selection tools, and culturally tailored recruitment strategies for underrepresented groups. His articles highlight advancements in data interoperability (FHIR integration), wearable health data analysis, and ethical genomic research practices. He collaborates with national initiatives like the Trial Innovation Network and NIH's All of Us Program to improve research accessibility and participant engagement.

Ioana Boureanuمشاهده پروفایل

استاد

• Cyber Security
• Applied Cryptography
• Formal Security Analysis
• +۴ مورد دیگر

Ioana Boureanu is a Professor in Secure Systems and Director of the Surrey Centre for Cyber Security (SCCS) at the University of Surrey. She holds a PhD in formal verification of security protocols from Imperial College London and a BSc from the Faculty of Computer Science, 'Alexandru Ioan Cuza' University, Romania. Her research focuses on formal security analysis, applied cryptography, and IoT/mobile network security, with collaborations in industry (Visa, Mastercard, Thales, etc.). **Education**: PhD (Imperial College London, 2011), BSc (Alexandru Ioan Cuza University, 2007). **Professional Roles**: Deputy Director of LASEC (EPFL, 2012), Professor at University of Applied Sciences Western Switzerland (2013). **Awards**: Leverhulme Senior Research Fellowship (2021-2022), Marie Skłodowska-Curie Fellowship (2015). **Research**: Specializes in provable security for protocols like EMV contactless payments, LoRaWAN IoT devices, and 5G networks. Her work emphasizes formal verification using tools like Tamarin and ProVerif. She also leads projects on privacy-preserving payment systems and secure software updates for vehicles. **Teaching**: Programme lead for the Government-accredited Information Security MSc. Teaches undergraduate courses on computer security and systems verification. **Service Roles**: Editor for ACM Transactions on Privacy and Security, Journal of Computer Security; co-chair of WiSec 2023 and ESORICS workshops. **Consultancy**: Part-time cyber-security consultant. **Interests**: Japanese language, classical music, and cycling.

Charlotta Nordlöfمشاهده پروفایل

استادیار

• AI Literacy
• Technology Education
• STEM Education
• +۴ مورد دیگر

Charlotta Nordlöf is an Assistant Professor at Linköping University, specifically within the Department of Behavioural Sciences and Learning (IBL) and the Division of Learning, Aesthetics, Natural Science (LEN), which operates under the Faculty of Educational Sciences. Her work focuses on the intersection of technology, education, and AI literacy, with a strong emphasis on practical implementation in Swedish educational contexts. Department of Behavioural Sciences and Learning (IBL) Division of Learning, Aesthetics, Natural Science (LEN) Faculty of Educational Sciences Dr. Nordlöf's research interests center on AI literacy in primary and secondary education, STEM integration through engineering design, and authentic technology education. She investigates how knowledge traditions inform technology education and how teachers develop competence in these evolving fields. Her work addresses critical gaps between theoretical frameworks and practical classroom implementation, particularly in the rapidly changing landscape of AI and technology education. Her publication record demonstrates a strong focus on practical applications of educational theory, with recent work examining AI literacy frameworks for K-12 education, STEM integration challenges in Swedish upper secondary schools, and the evolving role of technology education in preparing students for future societal challenges. The publications reveal a consistent pattern of collaborative research with colleagues across Sweden, focusing on teacher perspectives, curriculum implementation challenges, and the practical realities of integrating emerging technologies into established educational frameworks. Dr. Nordlöf is actively involved in significant research projects including 'AI Literacy for Swedish Primary Education,' which provides a scientifically based foundation for AI literacy in schools, and 'aSTEM: Models and modelling for authentic STEM education,' which investigates authentic integration of science and technology components of STEM education through models and modelling in Sweden. Her research is conducted within the Technology and Science Education Research (TESER) unit and the Swedish National Centre for School Technology Education. She contributes to advancing educational practice through her work on teacher development, curriculum implementation, and the practical challenges of bringing theoretical educational frameworks into real classrooms, particularly in the context of rapidly evolving technologies like AI.

• Astrophysical data
• Data analysis
• Deep learning
• +۱ مورد دیگر

Nicolas AUNAI is a CNRS Research Fellow affiliated with the Laboratoire de Physique des Plasmas (UMR7648). His work focuses on astrophysical data analysis, machine learning applications, and plasma physics simulations. Contact: Email: nicolas.aunai@lpp.polytechnique.fr Research interests include: Interplanetary coronal mass ejections Cold ion dynamics in space plasmas Magnetopause structure analysis Perpendicular current sheet behavior Development of the Smilei open-source simulation tool

Michel A. Reniersمشاهده پروفایل

دانشیار

• Supervisory Control
• Cyber-Physical Systems
• Model-Based Engineering
• +۵ مورد دیگر

Michel A. Reniers is an Associate Professor in the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e), specializing in supervisory control and cyber-physical systems. His research focuses on model-based engineering of supervisory controllers, formal methods, and their applications in high-tech and manufacturing systems such as lithography, automotive, and robotics. He holds a MSc in Computer Science (1994) and PhD (1999) from TU/e. He is a senior member of IEEE, part of the IEEE CSS Technical Committee on Discrete Event Systems, and contributed to the European Research Agenda on Cyber-Physical Systems of Systems. He collaborates with industry partners like ASML and Rijkswaterstaat. Research interests include supervisory control synthesis, modal logics, discrete event systems, and system product lines. He emphasizes formal methods for safety and performance guarantees in embedded systems. His work spans theoretical frameworks and practical applications in manufacturing, autonomous systems, and networked systems. Awards include the Norbert Giambiasi Award (2022) and recognition for partial-order reduction in timed systems (2018). Academic activities include editorial roles in journals like Discrete Event Dynamic Systems and IEEE Open Journal of Control Systems . He teaches courses on supervisory control, production systems analysis, and cyber-physical systems engineering. His research has been cited over 1,800 times, with contributions to software tools and simulation methodologies for industrial systems.

Wilfried Philipsمشاهده پروفایل

استاد

• Computer Vision
• Real-time Computer Vision
• Video Quality Improvement
• +۴ مورد دیگر

Wilfried Philips is a senior full professor at Ghent University and scientific lead of imec's Center of Excellence on Image Processing and Sensor Fusion. He leads the Image Processing and Interpretation (IPI) research group at imec-UGent and Ghent University's valorization consortium iKnow, which has created 9 spin-off companies including Senso2Me (IoT services for elderly care). His research focuses on real-time computer vision and video quality improvement for industrial applications, with key domains spanning automotive sensing, industrial inspection, machine learning, and video surveillance. The IPI group's work has directly generated three commercial spin-offs through applied research in these areas. Dr. Philips' publication portfolio demonstrates significant impact across remote sensing, medical imaging, and biological computer vision, with multiple highly-cited papers including a 2014 Best Paper Award-winning study on hyperspectral-LiDAR fusion. His honors include: Best Paper Award, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2014) Senior Member, IEEE Fellow, Belgian-American Educational Foundation As a translational research leader, he has successfully bridged academic innovation and industrial implementation through multiple technology spin-offs and industry partnerships.

Nico Schauerteمشاهده پروفایل

دانشیار

• Technology and Innovation Marketing
• Digital Platforms
• Omnichannel Marketing
• +۵ مورد دیگر

Nico Schauerte is an Associate Professor of Technology & Innovation Marketing at the School of Business and Economics, Vrije Universiteit Amsterdam. He holds a doctoral degree from the Marketing Center Münster (2014) and has prior experience in e-commerce and telecommunications sectors, including roles at Mister Spex and Vodafone Germany. His research focuses on digital platforms, omnichannel marketing, and brand communications, emphasizing quantitative methods using observational and experimental data. Education: Business administration degrees from the University of Münster, Germany, and the University of Rome La Sapienza, Italy. Postdoctoral research at the University of Cologne’s Department of Retailing and Customer Management (2016–2020). Research Interests: Digital platforms dynamics, hardware-software ecosystems, brand platform strategies, retail innovation, and privacy regulations in advertising. His work appears in top journals like Journal of Marketing and Harvard Business Review . Awards: Finalist for the H. Paul Root Award (2022) and Shelby D. Hunt/Harold H. Maynard Award (2022). Teaching includes Marketing Strategy, Value-Based Marketing, and Entrepreneurship at Vrije Universiteit and University of Münster. Key Projects: Studied network effects in hardware-software markets, disruption of retail value chains, and brand authenticity in advertising. Collaborations span consumer behavior, platform strategies, and AI-driven marketing challenges.

Vibeke Cattsمشاهده پروفایل

پژوهشگر

• Aging Research
• Neuroscience
• Genetics
• +۳ مورد دیگر

Dr. Vibeke Catts is the Research Manager at the Centre for Healthy Brain Ageing (CHeBA), UNSW Sydney, where she oversees research governance, regulatory liaison, and management of the CHeBA Research Bank. She previously coordinated the Older Australian Twins Study (OATS), a longitudinal investigation into genetic and environmental influences on aging. Her work focuses on cognitive decline, dementia, and the interplay between genetics and lifestyle factors in aging populations. Dr. Catts holds a PhD and has extensive experience in molecular and cellular pathology research, particularly in schizophrenia and antipsychotic drug efficacy for conditions like glioblastoma. She collaborates internationally to pool twin study data, aiming to identify genetic pathways for age-related diseases. Her interests include public health strategies to improve quality of life through preventive measures and lifestyle interventions. Education and Research Background: Dr. Catts transitioned from schizophrenia research (with her husband) to aging studies after observing the impact of brain disorders on family dynamics. She emphasizes translating research into actionable public health policies. Her role at CHeBA leverages her organizational skills and passion for community outreach, including initiatives like the 'Thinking of You' campaign during the pandemic. Research Interests: Twin studies, genetic epidemiology, dementia mechanisms, environmental influences on aging, and the development of preventive health strategies. Grants and Collaborations: Collaborates with international cohorts and institutions to expand twin study data, enhancing insights into aging mechanisms. Active in interdisciplinary teams combining neurology, genetics, and public health. Labs and Teams: Central to the Older Australian Twins Study and CHeBA’s multidisciplinary research teams. Engages with study participants and promotes community engagement through outreach programs.