جست‌وجوی استاد و پژوهشگر

• Animal Migration
• Behavioral Ecology
• Collective Decision-Making
• +۳ مورد دیگر

Dr. Andrea Flack is an Independent Emmy Noether Group Leader at the Max Planck Institute of Animal Behavior, Konstanz, Germany, and a Junior Group Leader at the Centre for the Advanced Study of Collective Behaviour, University of Konstanz. Her research focuses on understanding how ecological, environmental, and genetic factors shape migratory behaviors in birds, particularly white storks, and their evolutionary consequences. Current Positions: Independent Emmy Noether Group Leader, Max Planck Institute of Animal Behavior (2022–present) Junior Group Leader, Centre for the Advanced Study of Collective Behaviour (2020–present) Education: DPhil in Zoology (2009), University of Oxford Diploma in Biology (2009), Freie Universität Berlin Her work integrates cutting-edge technologies such as high-resolution GPS, accelerometers, and on-board cameras with experimental approaches like delayed-releases and cross-fostering to explore behavioral variation and its implications. Recent research highlights include social learning in migration and the impact of anthropogenic habitats on stork movement patterns. Key trends across her publications emphasize collective decision-making, environmental adaptation, and technological innovations in tracking. Notable contributions appear in journals like PNAS , Current Biology , and Journal of Applied Ecology . Scientific Awards: Emmy Noether Fellowship Dr. Flack collaborates extensively, utilizing Movebank for data integration and leading studies on avian collision risks and migration phenology. Her lab team includes researchers like William Fiedler and Emily Aikens , focusing on experimental designs and ecological modeling.

Sanne Ziethenمشاهده پروفایل

پژوهشگر

• Economic and Monetary History
• Digital Teaching
• University Didactics
• +۵ مورد دیگر

Dr. phil. Sanne Ziethen is a researcher at the University of Hildesheim , affiliated with the Department of History and the Digital C@MPUS-le@rning project. She contributes to transfer communication, networking, and Open Educational Resources (OER) development, while also working on the Connecting Experts & Services (ConnEx) project to enhance competencies in Lower Saxony's universities. Education: Doctorate (2012, summa cum laude), European doctoral program DESE (2005), Diploma (2004) from University of Hildesheim. Research Interests focus on economic and monetary history, digital teaching methodologies, university didactics, Franco-German relations, and the history of emotions. Her work bridges traditional historical analysis with innovative digital educational formats. Key Contributions include founding the university's first history podcast HI*story and organizing the barcamp Research in the 21st Century , emphasizing collaborative, student-driven learning. Scientific Awards : Award for Outstanding Teaching (2020/2021, University of Hildesheim). Nominated for Outstanding Teaching Awards (2019/2020, 2017/2018). Advising and Grants : Mentored students in designing digital tools, podcasts, and collaborative platforms. Recognized for integrating OER into humanities education, particularly in the Digital C@MPUS-le@rning project. Her work includes exploring how digital formats can enhance traditional pedagogy.

• Artificial Intelligence
• Blockchain
• Digital Humanities
• +۵ مورد دیگر

Anthony Masure is an Associate Professor at Geneva University of Art and Design (HEAD – Genève) , part of the University of Applied Sciences and Arts Western Switzerland (HES-SO) . His work bridges Artificial Intelligence , Blockchain , and Digital Humanities through critical design lenses. He explores tensions between creative automation and human agency , questioning how machine learning and smart technologies reshape authorship, value systems, and ecological practices in design. Key research areas: AI ethics , NFT implications , post-digital design , and technological accountability Projects like "Design et machine learning : l'automatisation au pouvoir?" (2021-2023) and "Post digital Graphic Design" (2019-2022) demonstrate his focus on critical technological engagements Advocates for open access and non-traditional research formats through initiatives like HEAD-Publishing His recent articles analyze generative AI in design, NFT governance , and circular design frameworks. Collaborations with researchers like Guillaume Helleu and Yves Citton emphasize socio-technical implications. Current projects include "L'organisation autonome automatisée (OAA)" (2024), exploring future enterprise models under climate constraints.

László Lengyelمشاهده پروفایل

استاد

• Model-Driven Engineering
• Internet of Things (IoT)
• Software Obfuscation
• +۷ مورد دیگر

László Lengyel is a Professor at the Budapest University of Technology and Economics (BME), affiliated with the Department of Automation and Applied Informatics . His work bridges theoretical and applied computer science, focusing on industrial automation, IoT systems, and model-driven engineering. Research interests include Model transformations and domain-specific languages IoT device management and multi-domain integration Software obfuscation and cybersecurity Graph algorithms and distributed computing (MapReduce) Real-time data analysis in manufacturing Automotive sensor networks His recent publications reflect expertise in model-driven IoT architectures , granule manufacturing automation , and MapReduce-based graph analysis , with a focus on industrial and automotive applications. He contributes to open-source frameworks like SensorHUB and explores gamification in driver behavior systems.

Daniel Paul O'Donnellمشاهده پروفایل

استاد

• Digital Humanities
• Medieval Literature
• History of the Book
• +۵ مورد دیگر

Daniel Paul O'Donnell is a tenured Professor and Department Chair of English at the University of Lethbridge, co-PI of the Humanities Innovation Lab , and Editor-in-Chief of Digital Studies / Le champ numérique . He teaches Digital Humanities, medieval literature, History of the Book, and English language courses, including first-year English 1900. Education: PhD in English, Yale University (1996) MA in English, Yale University (1991) BA with Distinction, St. Michael's College, University of Toronto (1989) Research Interests: Digital Humanities, Scholarly Communication, Cultural Heritage Representation, and Old English Philology. His work focuses on markup theories, digital edition design, and the intersection of Web 2.0 with academic practices. The Visionary Cross Project digitizes Anglo-Saxon crosses, while the Lethbridge Journal Incubator explores sustainable open-access publication models. Scientific Awards: Honourable Mention, Modern Language Association Prize for a Distinguished Scholarly Edition (2007) for Cædmon's Hymn: A Multimedia Study, Edition and Archive Grants and Funding: Recipient of multiple SSHRC grants, CFI funding, and Andrew W. Mellon Foundation support for digital edition projects and scholarly communication initiatives. Currently leading SSHRC Insight Grant (2025-2029) for Resistance to Data: Understanding data use in the traditional Humanities . Leadership Roles: Past president of University of Lethbridge Faculty Association, Confederation of Alberta Faculty Associations, and Society for Digital Humanities. Former Director of Text Encoding Initiative and Digital Medievalist Community of Practice.

Rainer Heintzmannمشاهده پروفایل

استاد

• Super-resolution microscopy
• Optical microscopy
• Point spread function calculation
• +۴ مورد دیگر

Prof. Dr. Rainer Heintzmann serves as Head of the Microscopy Department at the Leibniz Institute of Photonic Technology (Leibniz-IPHT) in Jena, Germany. His research focuses on advancing optical microscopy techniques, particularly super-resolution methods that surpass the diffraction limit to visualize cellular structures at nanoscale resolution. His primary research interests center on structured illumination microscopy (SIM), point spread function modeling, and computational imaging techniques. He has made significant contributions to developing automated multicolor SIM systems, extreme ultraviolet microscopy approaches, and deep learning-enhanced image analysis methods. His work bridges optical physics, computational algorithms, and biomedical applications, with particular emphasis on making advanced microscopy techniques more accessible through open-source hardware and software solutions. Analysis of his recent publications reveals a strong focus on overcoming fundamental limitations in optical microscopy. His research spans from theoretical modeling of optical systems to practical implementations for biological imaging. Key trends include the development of more accurate point spread function calculations, expansion of super-resolution techniques to new wavelength regimes, and integration of machine learning for image analysis and segmentation. Prof. Heintzmann actively collaborates with researchers across multiple institutions, as evidenced by his co-authorship on numerous interdisciplinary publications. His work has appeared in high-impact journals including Nature Methods, Nature Reviews Molecular Cell Biology, and Optics Express, reflecting the significance of his contributions to advancing microscopy techniques. His laboratory at Leibniz-IPHT appears to focus on developing novel microscopy instrumentation, particularly open-source implementations of super-resolution techniques. Recent projects include the openSIMMO platform for automated multicolor structured illumination microscopy and work on extreme ultraviolet microscopy that could potentially extend super-resolution capabilities into the X-ray regime.

Sandra Diaz Pierمشاهده پروفایل

پژوهشگر

• Computational Neuroscience
• High Performance Computing
• Machine Learning
• +۳ مورد دیگر

Dr. Sandra Diaz Pier is a Scientific Lead at the Jülich Supercomputing Centre (JSC) within the Jülich Research Centre , Germany. Specializing in computational neuroscience , high performance computing (HPC) , and machine learning , she bridges neuroscience and advanced computational methods through her research. Education: B.Sc. in Electronic Systems Engineering, Mexico M.Sc. in Computer Science (focus: machine learning, quantum computing), Mexico Second M.Sc. in Electrical Engineering, Ontario, Canada Ph.D. in Computer Science, Germany (2021) Her research focuses on modeling and simulating brain dynamics and plasticity at multiple scales, leveraging HPC to accelerate large-scale neural network simulations. She actively contributes to EU projects like the Human Brain Project (HBP) , Virtual Brain Cloud , and EBRAINS 2.0 , emphasizing infrastructure development and educational training. Her work includes open-source tools such as the NEST simulator , The Virtual Brain , and L2L , enabling efficient parameter exploration and multiscale co-simulation frameworks. The 15 most recent publications highlight her interdisciplinary approach, spanning topics from quantum computing in biomolecular simulations to neural plasticity algorithms and cloud-based brain modeling . These articles reflect her expertise in integrating machine learning , multi-scale simulation , and HPC infrastructure for neuroscience challenges, including seizure propagation, Parkinson’s disease progression, and swarm intelligence in spiking networks. She leads technical coordination in projects like EBRAINS and serves as a task leader in the HBP infrastructure work package , while also organizing workshops and hackathons for open-source tools. Her role involves supporting domain scientists through methodological research and workflow optimization for brain simulations.

ALICIA AREVALO GONZALEZمشاهده پروفایل

استاد

• Archaeology
• Ancient Numismatics
• Cultural Heritage
• +۵ مورد دیگر

Professor Alicia Arévalo González is a leading scholar at University of Cádiz , specializing in Archaeology and Ancient Numismatics . Affiliated with the Marine Research Institute (INMAR) , she co-leads the HUM1126 Archaeology and Cultural Heritage research group focusing on the Strait of Gibraltar to Atlantic-Mediterranean areas. Academic Leadership: Established groundbreaking research lines connecting Numismatics with Archaeology over 20+ years Research Pillars: Phoenician-Punic Coinage , Roman Maritime Industries , Monetary Circulation , Hispanic Numismatics Her work spans multiple international projects including: Deatlantir I-II (National R&D Plan) TIDE Network (Interreg Atlantic Area) NUMAROC (Casa de Velázquez) Collaborations with Università di Bologna and French School of Archaeology Key contributions include: Directing Currency for the Afterlife necropolis study Coordinating Erasmus+ Program with Bologna University Developing Wondercoins-His open data platform Participating in technical commissions for Baelo Claudia Archaeological Ensemble

• Sociology
• Digital Economy
• Intellectual Property
• +۸ مورد دیگر

Dr. Matthew David is an Associate Professor in the Department of Sociology at Durham University. His academic work bridges digital sociology, intellectual property studies, and media theory, focusing on the intersections of technology, power, and social control in global capitalism. Research Interests: David’s research spans digital economy ethics, moral panic theory, human-animal relations, and the political economy of knowledge. He critically examines how digital technologies reshape IP regimes, surveillance practices, and societal norms, often through interdisciplinary lenses combining sociology, criminology, and science studies. Recent Publications: His work includes analyses of historical sociological narratives (2024), moral panic theory during pandemics (2024), and critiques of digital surveillance in sports broadcasting (2021). Earlier contributions explore the ethics of cloning (2020), IP regulation (2017), and the criminalization of digital sharing (2010).

Nikos Giatrakosمشاهده پروفایل

استادیار

• Big Data Management
• Internet of Things (IoT)
• Distributed Systems
• +۳ مورد دیگر

Nikos Giatrakos is an Assistant Professor at the School of Electronic & Computer Engineering, Technical University of Crete, and a core member of the Software Technology and Network Applications Lab (SoftNet) . His work bridges Big Data systems, IoT, and advanced analytics, with a focus on real-time processing and scalable architectures. Previously, he served as a postdoctoral researcher at the same laboratory. Education PhD in Computer Science, University of Piraeus (2012) Postgraduate Diploma in Information Systems, Athens University of Economics and Business (2008) BSc in Computer Science, University of Piraeus (2006) Research Focus : Nikos specializes in software architectures for Big Data streaming, including Distributed Big Data Processing , Federated Machine Learning , Cloud-to-Edge Data Management , and Approximate Query Processing . His work has also advanced Complex Event Processing and Outlier Detection in decentralized environments. Scientific Contributions : His research has led to the DAG* workflow optimizer for IoT, the SuBiTO framework for real-time neural learning, and the INFORE approach for cross-platform analytics. He received the Best System Demonstration Award at ACM CIKM 2020 for INforE. Academic Leadership : Nikos teaches Object-Oriented Programming, Data Science, and Distributed Systems. He has supervised numerous European and national grants as Principal Investigator and served on program committees for top-tier conferences like SIGMOD, VLDB, and DEBS.

• Numerical Analysis
• Uncertainty Quantification
• Inverse Problems
• +۳ مورد دیگر

Oliver G. Ernst is a Professor of Numerical Analysis at Technische Universität Chemnitz . His research focuses on Numerical Analysis , Uncertainty Quantification , and Inverse Problems , with applications in Thermo-Hydro-Mechanical (THM) processes , Electromagnetics , and Stochastic Partial Differential Equations . He is associated with the Numerical Analysis group at TU Chemnitz. Key Research Areas : Efficient numerical methods for PDEs Krylov subspace techniques Stochastic finite element methods Multi-physics modeling Geoscientific applications Recent Publications (2025-2010): THM simulations under uncertainty Neural network PDE solvers Bayesian inversion frameworks Rational Krylov algorithms Deflated restarting strategies Collaborations : TU Bergakademie Freiberg University of Manchester Technical University of Munich University of Maryland University of Geneva Software Development : Contributor to OpenGeoSys platform Developer of FEMALY MATLAB library Academic Recognition : h-index 32, i10-index 66, with over 4423 citations since 2020.

• Critical Data Studies
• Critical Cybersecurity Studies
• Data Justice
• +۵ مورد دیگر

Andrea Zeffiro is an Associate Professor at McMaster University's Department of Communication Studies and Media Arts. From 2015–2025, she served as Academic Director of the Lewis and Ruth Sherman Centre for Digital Scholarship. Education: PhD in Communication Studies (Concordia University) SSHRC Postdoctoral Fellowship (Simon Fraser University) Research Focus: Her work spans critical data studies, cybersecurity ethics, data justice, and digital research methods, with a focus on feminist and queer perspectives in technology. She explores immersive media, virtual environments, and the social implications of data systems. Recent Publications: Her 15 most recent works analyze digital scholarship infrastructure, cybersecurity narratives, and ethical frameworks for locative media. Key themes include democratizing technology, challenging algorithmic biases, and preserving digital activism. Awards: 2025 University Scholar Societal Impact Seed Grant ($85,000) SSHRC Postdoctoral Fellow Notable Projects: The collaborative digital storytelling project Techno Trash is featured in digital humanities guides at Loyola University, Virginia Tech, and Northwestern University. She has exhibited work at Banff New Media Institute and California Nanosystems Institute.

Marko Torkkeliمشاهده پروفایل

استاد

• Technology and Innovation Management
• Strategic Entrepreneurship
• Growth Venturing
• +۴ مورد دیگر

Marko Torkkeli serves as Professor of Technology and Business Innovations at LUT University in Kouvola, Finland, within the School of Engineering Sciences. He maintains significant international affiliations as Visiting Researcher at INESC Porto (Portugal), Docent of Technology-based Business at University of Jyväskylä (Finland), Affiliated Faculty at Singapore Management University, and Docent of Technology and Innovation Management at Aalto University. He earned his Doctor of Science (Technology) in Industrial Engineering and Management from Lappeenranta University of Technology, establishing his foundation in technology-driven business innovation. Dr. Torkkeli's research centers on technology and innovation management, strategic entrepreneurship, growth venturing, and decision support systems, with extensive contributions to open innovation and digital transformation. His work bridges theoretical frameworks with practical applications in corporate innovation strategies and sustainability transitions, emphasizing real-world implementation of innovation methodologies. Analysis of his 15 most recent publications reveals a pronounced shift toward digital-sustainability convergence: 60% focus on AI/blockchain applications in supply chains and circular economy, 30% examine societal transformations for climate-positive futures, and 10% address gender diversity impacts in financial innovation. His research increasingly integrates human-AI collaboration frameworks within sustainability transitions. He serves on editorial boards for International Journal of Services Sciences, Digital Finance, and International Journal of Innovation Management, while directing publications for the International Society for Professional Innovation Management (ISPIM) as founding editor of the Journal of Innovation Management. Professional engagement includes active membership in ISPIM and the Academy of Management, with extensive contributions to conference proceedings including multiple ISPIM Innovation Conferences where he has co-edited proceedings volumes and served on organizing committees.

• Sensory Physiology
• Marine Ecology
• Underwater Acoustics
• +۵ مورد دیگر

Professor Craig Radford at the University of Auckland's Faculty of Science specializes in Marine Science with a focus on sensory systems and underwater soundscapes. Holding a PhD from Auckland , MSc from Canterbury , and BSc from Waikato , his research examines sensory physiology in fish and crustaceans, vocal communication mechanisms, and anthropogenic sound impacts. Current teaching includes Marine 702 Techniques in Marine Science and BioSci 334 - The Biology of Marine Organisms Postgraduate supervision topics span lateral line function, multisensory processing, ontogenetic hearing changes, and ecoacoustic indices His work on passive acoustic monitoring (149+ outputs) reveals trends in marine bioacoustics, particularly in shark hearing physiology , crustacean sound detection , and anthropogenic noise mitigation . Key collaborations exist with marine technologists and statisticians for developing machine learning boat classification systems and ecoacoustic biodiversity metrics. Research extends to auditory evoked potential thresholds across elasmobranchs, shark sleep electrophysiology , and global soundscape synthesis projects. Current projects include analyzing recreational boat noise impacts in Hauraki Gulf and investigating directional hearing mechanisms in sharks using advanced bioimaging techniques.

Fosca Giannottiمشاهده پروفایل

استاد

• Mobility Data Mining
• Social Network Analysis
• Privacy-Preserving Data Mining
• +۶ مورد دیگر

Fosca Giannotti is a Full Professor at Scuola Normale Superiore in Pisa, Italy, and leads the Pisa KDD Lab - Knowledge Discovery and Data Mining Laboratory, a joint research initiative of the University of Pisa and ISTI-CNR. Founded in 1994, the Pisa KDD Lab is one of the earliest research labs focused on data mining. Giannotti is a pioneering scientist in mobility data mining, social network analysis, and privacy-preserving data mining. Her educational background includes a Master Degree in Computer Science from the University of Pisa (1982) with 110/100 cum laude. She has held numerous visiting positions including at MCC in Austin, CWI Amsterdam, UCLA, and the Barabasi Lab at Northeastern University. Giannotti's research focuses on social mining from big data, encompassing smart cities, human dynamics, social and economic networks, ethics and trust, and diffusion of innovations. She has authored more than 300 papers and coordinated tens of European projects and industrial collaborations. Her current work increasingly centers on Explainable AI (XAI), as evidenced by her prestigious ERC Advanced Grant for the XAI project focused on "Science and technology for the explanation of AI decision making." Her recent publications reveal a strong emphasis on trustworthy AI, with research spanning privacy-preserving techniques, fairness in machine learning, human-AI collaboration frameworks, and medical applications of explainable AI. The breadth of her work demonstrates how data mining principles are being applied across diverse domains from social sciences to healthcare. ERC Advanced Grant for XAI project Premio Internazionale Tecnovisionarie 2021 Intelligenza Artificiale Giannotti has coordinated numerous significant projects including SoBigData (the European research infrastructure on Big Data Analytics and Social Mining), XAI, TAILOR (Foundations of Trustworthy AI), HumanE-AI-Net, and AI4EU. As former coordinator of SoBigData, she led an ecosystem of ten cutting-edge European research centers providing an open platform for interdisciplinary data science. She leads the Pisa KDD Lab, which serves as a hub for research on knowledge discovery and data mining. The lab has been instrumental in developing techniques for mobility data analysis, social network mining, and privacy-preserving data analytics, with applications ranging from smart cities to pandemic response.