جست‌وجوی استاد و پژوهشگر

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.

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.

• Process Mining
• Anomaly Detection
• Blockchain
• +۳ مورد دیگر

Ko, Jonghyeon is a researcher affiliated with the Ulsan National Institute of Science and Technology (UNIST) , specifically the Department of Materials Science and Engineering within the College of Natural Science and Engineering. His work spans multiple disciplines including process mining, anomaly detection, blockchain technology, AI computing, and environmental engineering. His research interests include: Anomaly detection in business process event logs Blockchain-based systems for nuclear/radioactive waste management AI computing using neuromorphic devices Statistical leverage and information-theoretic approaches to process mining Optimization of autonomous vehicle safety systems Recent publications demonstrate expertise in developing formal languages for data quality simulation, probabilistic trace alignment methods, and practical tools for anomaly detection like AIR-BAGEL. While no explicit scientific awards are mentioned in the text, his work has been published in venues such as Information Systems , npj Unconventional Computing , and Expert Systems with Applications .

Juan Antonio Corrales Ramónمشاهده پروفایل

پژوهشگر ارشد

• Robotics
• Human-Robot Interaction
• Robotic Manipulation
• +۳ مورد دیگر

Juan Antonio Corrales Ramón is a Research Fellow at the University of Santiago de Compostela's CiTIUS laboratory under the prestigious Beatriz Galindo program. Previously, he served as an Associate Professor at Sigma Clermont Engineering School (2014-2020) and conducted research at UPMC/ISIR in France. His academic credentials include a PhD in Automatic Control and Robotics (2011) and a Computer Engineering degree (2005) from the University of Alicante. Dr. Corrales' research centers on robotics with specialized interests in: Human-robot physical interaction for industrial applications Deformable object manipulation and control theory Tactile sensing technologies and sensor fusion Robotic grasping and in-hand manipulation Multi-robot coordination systems His recent publications demonstrate strong focus on adaptive control systems for deformable objects, tactile sensor development, and human-robot collaboration frameworks. He has participated in significant EU projects including: H2020 SoftManBot (soft material handling) H2020 Bots2Rec (recycling robotics) FUI Aerostrip (aerospace applications) Sudoe Commandia (service robotics) Honors include competitive fellowships: FPU Program Fellowship (Spanish Ministry of Education) Beatriz Galindo Program Fellowship (research excellence) At CiTIUS laboratory, he contributes to advanced robotics research with applications in industrial automation, healthcare, and agricultural robotics.

• Parallel File and Storage Systems
• Modular Supercomputing
• Resource Disaggregation and Virtualization
• +۶ مورد دیگر

Sarah Neuwirth is a tenured Professor for Computer Science at Johannes Gutenberg University Mainz (JGU) and a Visiting Researcher at the Jülich Supercomputing Centre. She manages JGU's High Performance Computing (HPC) division, coordinates regional/national HPC activities, and represents JGU in NHR, Gauss-Allianz, and HPC committees. Education : PhD (Dr. rer. nat.) in Computer Science (2018), Heidelberg University Diplom in Computer Science (2012), University of Mannheim Bachelor of Science in Computer Science (2010), University of Mannheim Research Interests : Parallel File and Storage Systems Modular Supercomputing (resource disaggregation/virtualization) Performance Engineering High Performance Computing Networking Reproducible Benchmarking Parallel I/O Publications Trends : Her work focuses on HPC performance modeling, parallel I/O optimization, modular supercomputing, network characterization, and reproducible benchmarks. Key themes include resource disaggregation, automated workflows, and data-intensive distributed applications. Scientific Awards : 2023 PRACE Ada Lovelace Award for HPC ZONTA Science Award 2019 Grants & Leadership : She leads the High Performance Computing division at JGU, participated in European DEEP projects, and serves on SC conference committees.

• Biomedical Imaging
• Medical Image Processing
• Neuroimaging
• +۲ مورد دیگر

Dr. Manuel Desco Menéndez is a Full Professor at the Department of Bioengineering , Carlos III University of Madrid , focusing on biomedical imaging and instrumentation. He leads the Biomedical Imaging and Instrumentation Group. Key research domains: Medical Imaging , Neuroimaging , Biomedical Instrumentation Primary publication areas: Computed Tomography , PET Imaging , MRI , Biomaterials His scientific contributions (2022-2025) include: Neuroanatomical changes in pregnancy/postpartum and psychiatric disorders Advanced CT reconstruction algorithms with beam-hardening compensation Innovative biomedical nanoplatforms using milk exosomes Preclinical bone regeneration scaffolds in animal models Current technical developments focus on GPU-accelerated image processing and deep learning applications in tomographic reconstruction.

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.

• 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.

Georg Rehmمشاهده پروفایل

استاد

• Natural Language Processing
• Computational Linguistics
• Artificial Intelligence
• +۷ مورد دیگر

Georg Rehm is an Honorary Professor for Computational Linguistics and Language Technology at Humboldt University Berlin and a Principal Researcher at the German Research Center for Artificial Intelligence (DFKI) in Berlin, where he serves as Deputy Director of the DFKI Lab Berlin. He is also the Head of the German-Austrian Chapter of the World Wide Web Consortium (W3C) based at DFKI Berlin. Rehm has over 300 scientific publications and extensive experience in leading major research projects in computational linguistics and language technology. His research focuses on Natural Language Processing, Computational Linguistics, and Artificial Intelligence, with specific interests in multilingual language technologies, semantic web, digital humanities, and language data spaces. He has led numerous significant projects including European Language Grid, OpenGPT-X, and NFDI4DataScience. Rehm is particularly active in initiatives promoting digital language equality in Europe by 2030. Rehm's recent work demonstrates a strong focus on large language models, scholarly document processing, scientific knowledge representation, and climate-related fact-checking systems. His publications span across multiple high-impact venues including ACL, ESWC, and LREC, with a notable emphasis on practical applications of language technology in real-world scenarios. DFKI Research Fellow (2018) As an active member of the academic community, Rehm regularly serves as an expert for the European Parliament, reviews EU projects, and organizes numerous scientific conferences and workshops. His leadership extends to multiple European initiatives aimed at advancing language technology infrastructure and promoting digital language equality across Europe.

Christina Malamateniouمشاهده پروفایل

دانشیار

• Medical Imaging
• MRI
• Perinatal MRI
• +۱۱ مورد دیگر

Dr. Christina Malamateniou is a Reader (Associate Professor) in Radiography at City St George's, University of London, and an Adjunct Professor in Radiography at University College Cork. With over 20 years of experience in Medical Imaging as both an academic and researcher, she previously worked as an MRI radiographer at the University Hospital of Athens. She has taught Medical Imaging and Research Methods across 7 universities in 3 countries and serves as co-director for the postgraduate programme in Radiography at City University. Her educational background includes: PhD in Medical Imaging from Imperial College London MA in Clinical Education from King's College London BSc (Hons) in Diagnostic Radiography from Technological Educational Institute of Athens, Greece Senior Fellow of the Higher Education Academy (2018) Dr. Malamateniou is an expert in MRI research with specialization in brain MRI, perinatal MRI, placental MRI, and high field MRI. Her work bridges clinical practice with technological innovation, particularly in the application of Artificial Intelligence to radiography. She has a strong interest in clinical education, research mentoring, and building research capacity among healthcare practitioners. Her current research involves fetal MRI with King's College London, simulated practice with University of Greenwich, AI implementation with the Society and College of Radiographers, cardiovascular MRI with Oxford University, and MRI in autism with multiple institutions. Her extensive publication record demonstrates a clear trajectory toward integrating AI into radiography practice while maintaining a strong foundation in traditional MRI research. Recent work focuses on ethical AI implementation, inclusive research practices for neurodiverse populations, and addressing workforce challenges in global radiography. Dr. Malamateniou has received significant recognition for her contributions: Clinical MRI Prize of the British Institute of Radiology (2006) Leonard Levy Prize of the British Institute of Radiology (2006) City Extraordinary Women Award (2023) Senior Fellow of the Higher Education Academy As a dedicated mentor, Dr. Malamateniou has supervised 6 PhD students as primary or secondary supervisor, with 2 completions to date and more expected soon. She has secured substantial research funding totaling £2.8 million as either principal or co-investigator. Her leadership extends to numerous professional roles including Chair of the Radiographers' Scientific Programme Committee at the European Congress of Radiology (2016), Research Committee Chair for the European Federation of Radiographer Societies, and leadership of the Formal Radiography Research Mentoring (FoRRM) scheme. Through her work with the Society and College of Radiographers, she has co-authored national guidelines on perinatal MRI, patient and public engagement with research, and artificial intelligence in radiography. She also serves as Chair of the AI working group and has established fetal MRI services at multiple international hospitals.

Lise Justesenمشاهده پروفایل

دانشیار

• Digitalization
• Invisible Work
• Artificial Intelligence
• +۴ مورد دیگر

Lise Justesen is an Associate Professor at the Department of Organization, Copenhagen Business School . She holds a PhD from CBS and a Master's in Philosophy from the University of Copenhagen. Her research focuses on digitalization , invisible work , and the interplay between accounting and organizing , grounded in Actor-Network Theory and qualitative methods . Co-author of Digitalization and Invisible Work (2025), a critical examination of unforeseen consequences of AI implementation in public sector organizations Supervisor for PhD candidates across CBS departments and the Vienna University of Economics Collaborator with Ursula Plesner on Visibility Management and Digitalization in Public Sector projects Their work reveals recurring themes: digitalization's hidden labor demands , algorithmic accountability challenges , and managerial adaptation to AI systems . They analyze these through ethnographic studies of public sector transformations and critical assessments of predictive algorithms in governance. Justesen's scientific contributions examine how digital systems create new accountability frameworks and redefine professional roles . Their research demonstrates that digitalization produces unanticipated labor patterns , reconfigures human-machine relationships , and generates complex valuation practices in organizational contexts.

• Software Engineering
• Software Testing
• Program Analysis
• +۴ مورد دیگر

Alessandro (Alex) Orso is the Dean and Professor at the University of Georgia College of Engineering , starting in 2025. Previously, he spent 25 years at Georgia Institute of Technology , where he served as a Professor in the College of Computing , Director of the Scientific Software Engineering Center , and Associate Dean for Off-Campus and Special Initiatives . Education: Ph.D. in Computer Science – Politecnico di Milano, Italy M.S. in Electrical Engineering – Politecnico di Milano, Italy B.S. in Electrical Engineering – Politecnico di Milano, Italy Research Focus: Alex Orso is a leading expert in software engineering , with a focus on software testing , program analysis , and debugging . His work aims to improve software reliability, security, and trustworthiness , and has been validated on real-world systems. He has led initiatives to integrate AI and large language models into testing workflows, particularly for REST APIs and mobile applications . Scientific Recognition: Distinguished Member of the Association for Computing Machinery (ACM) Fellow of the Institute of Electrical and Electronics Engineers (IEEE) ISSTA Impact Paper Award (2021) Research Funding & Leadership: Orso has secured major funding from Google, IBM, Microsoft , and government agencies. In 2021, he led the acquisition of $11 million from Schmidt Futures to establish the Scientific Software Engineering Center at Georgia Tech, where he served as inaugural director. Teaching & Innovation: He was an early advocate of Georgia Tech’s Online Master of Science in Computer Science (OMSCS) and has taught a virtual software engineering course since its launch in 2014.

Brian D. Atheyمشاهده پروفایل

استاد

• Bioinformatics
• Pharmacogenomics
• Machine Learning
• +۸ مورد دیگر

Brian D. Athey is a Professor of Computational Medicine and Bioinformatics and Psychiatry at the University of Michigan Medical School. He serves as Michael Savageau Collegiate Professor & Chair of his department, leading interdisciplinary research in pharmacogenomics, epigenomics, and machine learning applications. His work bridges biomedical informatics with clinical insights in mental health, neurology, and drug response mechanisms. Ph.D. , Biophysics, University of Michigan (1990) B.S. , University of Michigan-Dearborn (1982) Dr. Athey’s research focuses on the pharmacoepigenome, high-throughput 4D imaging, and AI-driven pharmacogenomic pipelines. His lab develops tools for patient-specific drug response prediction, chromatin structure analysis, and next-generation sequencing assays. Collaborations span institutions like Assurex Health, tranSMART Foundation, and Johns Hopkins Medical School. His publications highlight innovations in pharmacogenomics, including AI integration for variant identification, 4D nucleome modeling, and adverse event ontologies. Recent projects address bipolar disorder treatment personalization, hypertension management, and generative AI workflows to enhance academic productivity. Scientific Awards : NIH Postdoctoral Fellowship 1990-1991 NIH Postdoctoral Fellowship 1991-1993 Advisees & Collaborations : His lab mentors PhD and Masters students in bioinformatics and biostatistics, with graduates like Ari Allyn-Feuer (GSK AI Products Director) and Alex Kalinin (Broad Institute). Collaborations include NIH-funded initiatives (O’Brien Kidney Core Center, VIOLIN 2.0) and industry partnerships.

Edina Robinمشاهده پروفایل

دانشیار

• Translation Studies
• Corpus Linguistics
• Machine Translation
• +۵ مورد دیگر

Edina Robin is a Habilitated Associate Professor at the Institute of Language Mediation , part of Eötvös Loránd University . She serves as the Director of the Institute and leads two departments: the Department of Translation and Interpreting and the Department of Hungarian as a Foreign Language . Her work bridges theoretical and applied translation studies, emphasizing modern challenges in language mediation. Role: Director of Institute of Language Mediation Role: Head of Department of Translation and Interpreting Role: Head of Department of Hungarian as a Foreign Language Research Interests Translation universals and revision practices Corpus-based translation analysis Human-in-the-loop machine translation systems Ethical implications of AI in translation Distance education methodologies in translation training Publication Trends reflect her interdisciplinary focus on machine translation (33%), translation teaching (25%), corpus linguistics (20%), and crisis communication (15%). Recent works explore the intersection of artificial intelligence, human agency, and ethical frameworks in language mediation. Academic Leadership includes institutional development for language mediation, curriculum design for Hungarian as a foreign language, and fostering collaboration between academic and industry translation practices.

Trine Rask Nielsenمشاهده پروفایل

پژوهشگر

• Computer-Supported Cooperative Work (CSCW)
• Critical Data Studies
• Asylum Decision-Making Systems
• +۳ مورد دیگر

Trine Rask Nielsen is a researcher at the Department of Computer Science , University of Copenhagen , affiliated with the Human-Centred Computing section and the Confronting Data Co-lab . Her work bridges Computer-Supported Cooperative Work (CSCW) and Critical Data Studies , focusing on how data shapes asylum decision-making practices. Research Interests: Ethnographic analysis of data practices in asylum systems, digital governance, refugee agency, and ethical prototyping. Awards: 2023 David B. Martin Award 2020 award for fictional app design Collaborations: Works with cross-disciplinary teams and external partners in Denmark and internationally. Her publications examine datafication processes, algorithmic transparency, and participatory approaches in asylum casework, emphasizing ethnographic insights and critical design interventions.