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Patricia Elaine PerkinsView profile

Professor

• Ecological Economics
• Climate Justice
• Commons Governance
• +7 more

Patricia Elaine Perkins is a Professor at the Faculty of Environmental and Urban Change, York University, where she conducts research and teaches in ecological economics, climate justice, and community-based environmental governance. Her interdisciplinary work integrates feminist theory, political ecology, and participatory research methods to address global inequities in the context of climate change and sustainability transitions. Her educational background includes a PhD and MA in Economics from the University of Toronto, and a BA in Public and International Affairs from Princeton University. This strong foundation underpins her critical approach to mainstream economic paradigms and her advocacy for alternative, justice-oriented frameworks. Perkins' research interests center on climate justice, feminist ecological economics, commons governance, and community economic development . She explores how local communities, particularly in the Global South, can lead equitable responses to climate change through participatory models. Her focus on gender, care, and intersectionality brings vital perspectives to environmental decision-making processes. Her recent publications reflect a strong thematic trend toward decentralized governance, social movements, and systemic alternatives to growth-oriented economies . Articles and books examine degrowth, climate activism, and the integration of plural knowledge systems in environmental management, especially in Brazil, Canada, and Africa. She emphasizes community-led solutions and the ethical dimensions of sustainability. REDI (Respect, Equity, Diversity, Inclusion) training certificate – Centre for Human Rights, Equity, and Inclusion, York University Perkins has secured significant research funding from SSHRC, IDRC, and the New Frontiers in Research Fund for projects on post-pandemic recovery, ethical data management, and community-based climate resilience. She actively mentors students and collaborates internationally, contributing to global policy through her role as a Lead Author for the IPCC Sixth Assessment Report. Her work bridges academic research, community engagement, and public policy advocacy. She leads research teams and community-university partnerships focused on the Jane and Finch neighborhood, Brazil, and African watersheds. These labs and collaborative networks emphasize participatory action research, ethical data practices, and capacity building in marginalized communities.

Sandra M. ĐosićView profile

Associate Professor

• Electronics
• Real-Time Systems
• Fault-Tolerant Systems
• +7 more

Sandra M. Đosić is an Associate Professor at the Faculty of Electronics in Niš, University of Niš, Serbia, specializing in Electronics and Embedded Systems. She has been actively contributing to research in real-time systems, fault tolerance, wireless sensor networks, and indoor localization technologies. Research Interests: Her work spans fault-tolerant real-time systems, energy-efficient computing, UWB-based indoor localization, and communication protocols for wireless sensor networks. She explores techniques such as dynamic voltage and frequency scaling (DVFS), tone-based contention resolution, and deflection routing in networks-on-chip to enhance system reliability and efficiency. Publication Trends: Her recent publications (2009–2022) demonstrate a strong focus on improving robustness and performance in embedded and distributed systems. The research integrates signal processing, network optimization, and energy-aware design, primarily applied in industrial and indoor environments. Scientific Awards: No awards are mentioned in the provided text. Advising and Grants: While no specific students are listed, she is currently participating in two national research projects, indicating active involvement in funded research. Her collaborations with researchers such as Igor Stojanovic and Milica Jovanovic suggest a strong team-based research approach. Labs and Research Teams: Although no formal lab or team name is specified, her repeated co-authorship with colleagues from the Faculty of Electronics implies active participation in a research group focused on electronics, communications, and real-time systems.

• Signal processing
• Fault detection and diagnosis
• Rotordynamics
• +7 more

Konstantinos Gryllias is a Professor in the Department of Mechanical Engineering at KU Leuven's Faculty of Engineering Sciences. He leads research in the Mechatronic System Dynamics (LMSD) unit at the Arenberg campus. His academic affiliations extend across multiple KU Leuven institutes including Leuven.AI, Leuven.AM (Additive Manufacturing), and the Gravitation Institute. He serves on important governance bodies as a member of the Faculty Council of Engineering Sciences, Faculty Doctoral Committee of Engineering Sciences, and Departmental Council of Mechanical Engineering. Dr. Gryllias specializes in signal processing, fault detection and diagnosis of rotating machinery, condition monitoring, and machine learning applications in structural health monitoring. His research spans linear and nonlinear vibrations, anomaly detection, rotordynamics, and pattern recognition. His work bridges theoretical signal processing with practical engineering applications in wind turbines, marine propulsion systems, and industrial machinery. His recent publications demonstrate strong focus on deep learning approaches for wind turbine anomaly detection, bearing diagnostics, stern bearing lubrication optimization, and structural health monitoring using advanced signal processing techniques. The research shows increasing integration of explainable AI methods with traditional vibration analysis. Dr. Gryllias teaches advanced courses including Monitoring & Prognostics, Structural Dynamics, Smart Sensing Technologies, and Applied AI perspectives. His teaching portfolio reflects the interdisciplinary nature of his research, connecting mechanical engineering fundamentals with cutting-edge AI methodologies. He currently leads multiple research projects through 2025-2029, primarily as Promotor, focusing on fault detection in gears using fiber optic sensors, multi-sensor monitoring of drivelines, physics-inspired machine learning for condition monitoring, and digital twin applications for wind turbine efficiency improvement.

Carlos Palazuelos CabezónView profile

Professor

• Functional Analysis
• Quantum Information Theory
• Operator Spaces
• +7 more

Carlos Palazuelos Cabezón is a Professor in the Department of Mathematical Analysis and Applied Mathematics at the Faculty of Mathematical Sciences, Universidad Complutense de Madrid (UCM), with a joint affiliation at the Instituto de Ciencias Matemáticas (ICMAT). He holds a Ramón y Cajal contract and has been a Full Professor since 2024, following his role as Associate Professor from 2019 to 2024. His work bridges deep mathematical theory and quantum information science. Research Interests: His primary research lies at the intersection of functional analysis and quantum information theory. He investigates operator spaces and their applications to quantum entanglement, Bell inequalities, quantum channels, and nonlocal games. A second major line involves noncommutative harmonic analysis, particularly hypercontractivity in von Neumann algebras. His work is highly theoretical and appears in top mathematical and physics journals. Publication Trends: His recent publications demonstrate a consistent focus on the mathematical foundations of quantum information, particularly using tools from operator space theory and Banach space geometry to analyze quantum nonlocality, entanglement, and computational models. There is a strong trend toward solving foundational problems in quantum theory using advanced functional analysis. Scientific Awards: Premio Extraordinario de Doctorado (2008/2009) Doctorado Europeo Advising and Grants: While no specific students are listed, he is part of the MathQI research group and has likely mentored graduate students. He has been supported by prestigious postdoctoral and permanent research contracts in Spain, including the Juan de la Cierva and Ramón y Cajal programs, which are highly competitive grants for early-career and established researchers, respectively. Labs and Teams: He is a member of the MathQI research group (Mathematical Quantum Information) at UCM and is affiliated with ICMAT, a leading mathematics research institute in Spain. These affiliations provide a collaborative environment for interdisciplinary research in mathematical physics and quantum information.

Catarina TenteView profile

Associate Professor

• Medieval Archaeology
• Early Medieval Archaeology
• Rural Archaeology
• +3 more

Catarina Tente is an Associate Professor at the Department of History, Faculty of Social Sciences and Humanities, Universidade Nova de Lisboa. Her research focuses on Medieval Archaeology , particularly Rural Archaeology , Early Medieval Studies , and Landscape Analysis . She is affiliated with the Institute of Medieval Studies (IEM-NOVA FCSH) and has coordinated the Archaeology Degree Program since 2013. Research Interests span the analysis of medieval rural settlements, domestic material culture, landscape evolution, and the interplay between religious and secular power in urban contexts. Her work emphasizes interdisciplinary approaches, combining archaeological records with historical documentation and geospatial analysis. Key Themes : Household goods and economic activities Post-Roman settlement continuity Social complexity in non-monumental contexts Recent Publications explore trends in European medieval rural life, the role of small cities in shaping medieval Europe, and the archaeology of 10th-11th century Portuguese settlements. She has co-edited volumes on topics like Medieval Ritual and Votive Deposits and Urban and Rural Power Dynamics . Projects & Leadership : DESPAMED (2013-2016): Social inequality in rural Iberia Do Império ao Reino (2018): Viseu’s transition from Roman to medieval territory RURALIA XIV Conference (2021): Household archaeology in Europe

James GabrilloView profile

Assistant Professor

• Digital Musicology
• Ethnomusicology
• Global Pop Music
• +6 more

James Gabrillo is an Assistant Professor of Music at the University of Texas at Austin, where he teaches courses on digital musicology, ethnography, global pop music, and performance cultures of the Philippines. He serves as a faculty fellow at UT's Humanities Institute Seminar on Digital Futures and Social Justice, and is the principal investigator of the Sound Space Art Lab multimedia research initiative. Dr. Gabrillo's research focuses on the intersections of music, digital media, and cultural politics, with particular attention to Philippine musical practices and Filipino diasporic communities. His work spans digital musicology, ethnographic fieldwork, and multimedia scholarship, examining how sound and music operate within contemporary cultural and political contexts. His book Pop Convergence (Oxford University Press) examines the aesthetics and networks of musical multimedia in contemporary Manila. His scholarly contributions reveal emerging trends in the study of digital music cultures, with increasing attention to the global dimensions of pop music, the materiality of sound in digital contexts, and the political dimensions of musical practice. His research has been published in leading journals including the Journal of Popular Music Studies , Musical Quarterly , and Rock Music Studies . Dr. Gabrillo was previously a lecturer at The New School and a postdoctoral fellow at Princeton University, where he developed a digital humanities project mapping soundscapes of migrant Filipino caregivers. He earned his PhD from Peterhouse, Cambridge, and prior to his academic career worked as a journalist and arts editor for publications including The National , Al Jazeera English , Wired , Philippine Daily Inquirer , and The Japan Times . He maintains an active scholarly profile with regular publications in top journals and is also affiliated with Cambridge Digital Humanities as an associate, demonstrating his commitment to interdisciplinary research that connects traditional musicological methods with digital humanities approaches.

Mauricio BustamanteView profile

Assistant Professor

• Astroparticle physics
• Neutrino physics
• Ultra-high-energy astrophysical neutrinos and cosmic rays
• +5 more

Mauricio Bustamante is an Assistant Professor at the Niels Bohr Institute , University of Copenhagen, specializing in theoretical high-energy astrophysics, astroparticle physics, and neutrino phenomenology. His research bridges cosmic phenomena with fundamental particle physics, focusing on ultra-high-energy neutrinos, cosmic rays, gamma-ray bursts, and new physics beyond the Standard Model. PhD in Physics (2012-2014) M.Sc. in Physics (2007-2010) B.Sc. in Physics (2001-2006) His work explores neutrino oscillations, self-interactions, and decay in extreme astrophysical environments. He contributes to major international collaborations like GRAND (Giant Radio Array for Neutrino Detection) and IceCube-Gen2, developing simulation pipelines and forecasting detection methods for EeV-scale neutrinos. Recent publications highlight energy-dependent flavor transitions, Lorentz invariance testing, and constraints on long-range neutrino interactions via DUNE and T2HK experiments. He actively participates in peer review for journals such as Physical Review D , Physical Review Letters , and Astrophysical Journal , and has attended conferences like TeV Particle Astrophysics (2017). His research emphasizes detector design, cosmic ray reconstruction via graph neural networks, and multi-messenger astronomy.

• Biometrics
• Machine Learning
• Deep Learning
• +5 more

Raghavendra Ramachandra is a Professor at the Department of Information Security and Communication Technology (IIK) , within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) in Gjøvik. His research focuses on biometric systems, particularly in face, fingerprint, and finger vein recognition, with emphasis on presentation attack detection, morphing attack detection, and deep learning applications. Current research projects include: SALT (2022-2026) : Developing privacy-preserving facial biometric authentication systems. OffPAD (2022-2025) : Creating cryptographic tools and presentation attack detection for fingerprint biometrics. SWAN (2015-2020) : Developing biometric countermeasures against presentation attacks. His recent publications demonstrate technical expertise in: Face morphing attack detection using vision transformers and point cloud networks Image fusion techniques for multispectral biometrics GAN-based synthetic data generation for security evaluation Explainable AI approaches for biometric verification Professor Ramachandra also supervises PhD and Master’s students, and has extensive experience in leading national and EU research initiatives.

Christian WolfView profile

Professor

• Ergodic Theory
• Dynamical Systems
• Thermodynamic Formalism
• +5 more

Christian Wolf is a Professor of Mathematics at The City College of New York (CCNY) and a member of the doctoral faculty at the CUNY Graduate Center. He serves as the Executive Officer of the Ph.D. program in Mathematics at the Graduate Center. Wolf’s research spans the fields of ergodic theory, dynamical systems, thermodynamic formalism, computability theory, and applications to mathematical biology. Research Trends: His publications highlight intersections between dynamical systems and computability, with a focus on topological pressure, rotation sets, entropy, zero-temperature measures, and geometric properties of symbolic and smooth systems. Topics include phase transitions, localized equilibrium states, and algorithmic analysis of dynamical invariants. Scientific Awards: Simons Foundation Collaboration Grant for Mathematicians #637594 Grants and Advising: Wolf’s research on computability in dynamics and thermodynamic formalism has been supported by the Simons Foundation. He mentors students in research and independent study projects at CCNY and the Graduate Center.

David WainwrightView profile

Research Fellow

• Coastal Engineering
• Environmental Hydraulics
• Coastal Geomorphology
• +3 more

David Wainwright is an adjunct research fellow at the University of Queensland's School of Civil Engineering and a adjunct lecturer at the University of Newcastle. With over 20 years of industry experience as a consulting engineer, he specializes in coastal engineering , environmental hydraulics , and climate change adaptation , particularly in coastal zones. University: University of Queensland Secondary Affiliation: University of Newcastle Academic Rank: Research Fellow His research focuses on coastal geomorphology , numerical modeling of coastal processes, and risk assessment for coastal flooding and sea level rise. He has developed frameworks for probabilistic hazard lines , coastal lagoon management , and stochastic erosion modeling . His work integrates engineering design with policy considerations, including local government planning and community consultation . A chartered engineer with Engineers Australia since 2001, he contributes to coastal risk evaluation and climate adaptation guidance . He founded the consulting firm Salients Pty Limited in 2015, extending his expertise to state and national projects .

Sonia FlissView profile

Professor

• Wave Propagation
• Mathematical Analysis
• Numerical Analysis
• +5 more

Sonia Fliss is a Full Professor at ENSTA Paris , affiliated with the Department of Applied Mathematics and the POEMS laboratory (UMR CNRS-INRIA-ENSTA) . She teaches applied mathematics courses on partial differential equations (PDEs) , finite element methods , and periodic homogenization to undergraduate and graduate students. Doctor in Applied Mathematics (2009) Authorized to supervise research (2019) Research Interests : Sonia Fliss specializes in the modeling and numerical analysis of wave propagation in periodic, quasi-periodic, and random media . Her work includes transparent boundary conditions , guided waves , and asymptotic methods for acoustic, electromagnetic, and elastic wave phenomena . Recent Publications highlight her contributions to the Half-Space Matching Method , edge states in honeycomb structures , and scattering problems in unbounded domains . Her numerical techniques address multi-scale waveguides and time-harmonic propagation . Laboratory : As a member of the POEMS team, she collaborates on interdisciplinary projects involving mathematical analysis , computational physics , and engineering applications in domains like defence, energy, and transport .

Sihem MesnagerView profile

Professor

• Symmetric Cryptography
• Coding Theory
• Finite Fields
• +10 more

Sihem Mesnager is a University Professor of Mathematics at the University of Paris VIII, affiliated with the Laboratory of Analysis, Geometry and Applications (LAGA) at Paris XIII (CNRS) and the AGC3 research group (Algebra, Geometry, Combinatorics) . She holds an adjunct professorship at Télécom Paris within the MIC2 Mathematics team of the Computer Science and Networks department (INFRES). Her work bridges pure mathematics and applied cryptography, focusing on Boolean functions, bent functions, and coding theory for secure communication and data protection. PhD in Mathematics, University of Pierre and Marie Curie (Paris VI), Sorbonne University (2002) Habilitation (HDR) in Mathematics, University of Paris VIII (2012) Research Interests Dr. Mesnager specializes in symmetric cryptography and coding theory , particularly their applications to secure digital communication, error correction, and post-quantum cryptographic protocols. Her algebraic approach employs finite fields, exponential sums, algebraic geometry, and finite geometry to analyze and construct cryptographic primitives like S-boxes, APN functions, and optimal linear codes. She also investigates algorithmic aspects of computer algebra in these domains. Scientific Awards George Boole International Prize (2020) PEDR Excellence Scientific Award (2019-2022) PEDR Excellence Scientific Award (2014-2017) Publications & Projects Her recent work includes constructing weightwise perfectly balanced Boolean functions for the FLIP cipher, optimizing Inner Product Masking schemes via coding theory, and developing post-quantum secure functional encryption using multivariate cryptography. She has contributed to Reed-Muller codes, BCH codes, and Gaussian sum-based linear codes with one-dimensional hulls, emphasizing their applications in side-channel attack resistance and quantum error correction.

• Tectonics
• Geodynamics
• Seismology
• +3 more

Francisco Manuel Alonso Chaves is a Professor in the Department of Earth Sciences at the Faculty of Experimental Sciences, University of Huelva, Spain. He is affiliated with the Huelva Scientific and Technological Center and leads the research group RNM276 APPLIED GEOSCIENCES. His academic focus lies in Internal Geodynamics, contributing significantly to the understanding of tectonic processes in the Betic Cordillera and surrounding regions. Education: PhD in Geology, University of Granada (1995). Thesis: "Tectonic evolution of Sierra Tejeda and its relationship with processes of crustal thickening and thinning in the Betic mountain ranges", supervised by Dr. Miguel Orozco Fernández. His primary research interests encompass Tectonics, Geodynamics, Seismology, and Structural Geology. He investigates crustal deformation, seismic activity, and the evolution of mountain belts, with a regional focus on the Betic Cordillera and the Iberian Peninsula. His work integrates field studies, geophysical methods, and advanced data analysis to unravel complex tectonic histories and assess seismic hazards. Analysis of his recent publications reveals a strong emphasis on tectonic processes, particularly in the Guadalquivir Basin and the Betic Cordillera. His work utilizes seismic noise recording, kernel density estimation, and passive seismic techniques to study basin architecture, fault reactivation, and crustal structure. There is a consistent focus on Neogene extension, earthquake analysis (including the Türkiye-Syria events), and the application of geospatial tools like QGIS for tectonic interpretation. Scientific Awards: No scientific awards mentioned in available information. Advising and Grants: No details provided regarding students supervised or research grants secured. Labs and Teams: Dr. Alonso Chaves is a key member of the RNM276 APPLIED GEOSCIENCES research group and conducts his work at the Huelva Scientific and Technological Center. His team focuses on applied geological research, including seismic microzonation, tectonic modeling, and environmental geology, contributing to both academic knowledge and practical applications in the region.

Marie-Christine DükerView profile

Assistant Professor

• high-dimensional statistics
• time series analysis
• functional data analysis
• +11 more

Marie-Christine Düker is an Assistant Professor in the Department of Statistics and Data Science at Friedrich-Alexander University (Germany). Her research focuses on high-dimensional statistics, time series analysis, functional data analysis, and extreme value theory with applications in economics, psychology, chemistry, and ecology. Previously, she was a postdoctoral associate at Cornell University's Department of Statistics and Data Science under David Matteson. She earned her PhD in Mathematics from Ruhr-University Bochum under Herold Dehling and spent part of her doctoral studies at the University of North Carolina at Chapel Hill with Vladas Pipiras. Current Position: Assistant Professor, Department of Statistics and Data Science, Friedrich-Alexander University Previous Academic Affiliation: Postdoctoral Associate, Cornell University Education: PhD in Mathematics, Ruhr-University Bochum; Part-time research at University of North Carolina Research Interests: Her work spans high-dimensional time series under long-range dependence and nonstationarity, discrete data modeling, nonlinear dynamics, dimension reduction, and change-point analysis. Applications include econometrics, neuroscience, chemical data analysis, and ecological forecasting. Recent Publications: Her 2025-2024 work covers Hilbert space-valued linear processes, kernel estimation for nonlinear dynamics, confidence interval approximations, and latent Gaussian count time series. Earlier papers address simultaneous diagonalization, long-run variance matrices, and transition rate estimation challenges. Contact: marie.dueker@fau.de

Marianna CavadaView profile

Senior Lecturer

• Smart Cities
• Urbanism
• AI Urbanism
• +4 more

Marianna Cavada is a Senior Lecturer at the Manchester School of Architecture (MSA), where she leads the MA Architecture & Urbanism program as the Prototype Urbanism Lab Lead and serves as the Department International Lead. Her research focuses on AI-driven urbanism, smart and liveable cities, and policy design for sustainable urban transformation. Education: PhD in Civil Engineering (2019, University of Birmingham) PG Dip Architecture (International) RIBA II (2008, Huddersfield University) BA Hons Architecture RIBA I (2005, Huddersfield University) BA Hons Interior Design (2001, De Montfort University) Marianna bridges theoretical and practical urbanism through collaborations with local policymakers (Lancaster City Council, Karystos Municipality) and international bodies like the WHO. Her work addresses inequality, climate emergency, and global health within the UN Sustainable Development Goals framework. She contributed to the British Academy-funded 'Caring-with Cities' project and EPSRC initiatives including Liveable Cities and the Green Infrastructure Corridors program. Her research outputs include the book The Little Book of Smart Cities and publications on topics ranging from CO2 emissions in smart cities to gamification in post-pandemic urban evaluation. Marianna has presented at institutions such as the University of Birmingham, Donghua University, and Xi’an Jiaotong University, and has led workshops like the Smart Cities Alliance in Birmingham. Key Scientific Awards: First Prize – Peter Stead Award (2008) Higher Commendation in PG Dip Architecture (2008) Marianna supervises PhD projects in AI Urbanism, Smart Cities, Liveable Cities, and Urban Engineering. Her professional background includes architectural practice in the UK (ATKINS), UAE (Al Falah project), and China (GDG Ltd, Twin Cities), alongside academic roles at the University of Birmingham and Lancaster School of Architecture. She operates from the Manchester Technology Centre and maintains memberships in the International Society for Urban Health and the Royal Institution of Chartered Surveyors (RICS).