جست‌وجوی استاد و پژوهشگر

Grzegorz J. Nalepaمشاهده پروفایل

استاد

• Artificial Intelligence
• Affective Computing
• Context-Aware Systems
• +۹ مورد دیگر

Prof. Grzegorz J. Nalepa holds the position of Full Professor at the Faculty of Physics, Astronomy, and Applied Computer Science, Jagiellonian University, Poland. He leads the Jagiellonian Human-Centered Artificial Intelligence Lab and is involved in international projects such as the CHISTERA XPM initiative on explainable AI in predictive maintenance. His academic journey includes a PhD (2004), habilitation (2012), and a philosophy MA (2012). Research focuses on AI, affective computing, context-aware systems, and explainable AI (XAI). He has authored over 200 papers, two monographs, and edited volumes. Key projects include the BIRAFFE2 dataset for emotion-based personalization and the GEIST team's semantic wiki tools. Holds leadership roles in conferences (e.g., ECAI 2023) and serves on editorial boards of journals like Sensors and Intelligent Sensors Section . Awards include the 2018 Outstanding Monograph Prize and multiple AGH-UST Rector's Prizes for scientific achievements. Advises PhD and master students, supervising 36 MSc theses. Active in professional organizations like the Polish Alliance for AI and the IEEE Computational Collective Intelligence TC. His contributions span industrial collaborations, software tools (e.g., InXAI, LUX, KnAC), and international research networks.

Stephen Ramseyمشاهده پروفایل

دانشیار

• Computational Systems Biology
• Bioinformatics
• Precision Medicine
• +۶ مورد دیگر

Stephen Ramsey, an Associate Professor at Oregon State University, holds dual appointments in the School of Electrical Engineering and Computer Science (College of Engineering) and the Department of Biomedical Sciences (Carlson College of Veterinary Medicine). With a PhD in Physics from the University of Maryland, his postdoctoral training in computational genomics at the University of Washington, and professional experience at the Institute for Systems Biology and Center for Infectious Disease Research, Ramsey bridges computational methods with biomedical applications. Education : Ph.D., Physics, University of Maryland; M.S., Physics, University of Maryland; Sc.B., Mathematical Physics, Brown University Ramsey specializes in computational systems biology , focusing on bioinformatics , biomedical knowledge graphs , and precision medicine . His research integrates machine learning , gene regulatory network modeling , and multi-omics data analysis to address challenges in rare disease diagnostics , drug monitoring , and inflammatory disease mechanisms . Current work includes AI-driven biomedical translation and electrochemical biosensor development for non-invasive diagnostics . Recent publications highlight knowledge graph applications in translational biomedicine , causal network inference in clinical-environmental data integration , and cross-species cancer transcriptomics . His team develops tools like RTX-KG2 and PloverDB to standardize biomedical data sharing and semantic reasoning . Scientific Awards : 2019 Zoetis Award (Carlson College of Veterinary Medicine) 2016 NSF CAREER Award 2016 PhRMA New Investigator Award 2010 NIH K25 Mentored Quantitative Research Award Ramsey advises in computational biology courses (CS 446/546) and contributes to biomedical AI through projects like mediKanren for rare disease diagnostics . His NSF-funded research explores gene expression noise and regulatory network dynamics , while NIH and PhRMA grants support his translational medicine initiatives. He leads the Ramsey Laboratory , which develops graph-based reasoning tools for biomedical data translation and multi-omics integration . The lab's work spans comparative oncology models, electrochemical biosensors , and knowledge graph infrastructure for clinical decision support .

Sangiorgi Davideمشاهده پروفایل

استاد

• Computer Science
• Theory of Concurrent Systems
• Theory of Distributed Systems
• +۲ مورد دیگر

Davide Sangiorgi is a Full Professor at the University of Bologna, Italy, with a distinguished career in computer science and theoretical concurrency. He has held significant roles as Director of Research at INRIA (2000), Researcher at INRIA (1995), and Research Fellow at the University of Edinburgh (1993). His work spans programming languages, distributed systems, and formal verification. Laurea (Master) in Computer Science, University of Pisa, 1987 PhD in Computer Science, University of Edinburgh, 1993 His research focuses on the theory of concurrent and distributed systems, with contributions to bisimulation, process calculi, and type systems. His publications highlight advancements in lock-freedom, environmental bisimulation, and behavioral equivalence, primarily in programming languages and concurrency theory. Key trends in his articles include the development of formal methods for concurrency, type systems for mobile processes, and the application of bisimulation in higher-order languages. His work bridges theoretical foundations with practical verification techniques in distributed systems and programming languages. Elected Chairman of IFIP Working Group 2.2 (FORMAL DESCRIPTION OF PROGRAMMING CONCEPTS) in 2005 and re-elected in 2008 Member of the Council of the Italian Chapter of the European Association for Theoretical Computer Science (EATCS), re-elected 3 times Sangiorgi has supervised 10 PhD students across France and Italy, currently advising 3. He has led 3 large EU projects and bilateral initiatives (France-USA, France-Germany, France-Italy). He co-founded the joint INRIA-University of Bologna laboratory, the first of its kind for INRIA in a foreign institution.

Stefan Lengauerمشاهده پروفایل

پژوهشگر

• Visual Analytics
• 3D Object Retrieval
• Image Processing
• +۴ مورد دیگر

Stefan Lengauer is a Senior Researcher at the Institute of Visual Computing (IVC), Graz University of Technology. His work bridges cultural heritage analysis and health informatics through advanced visualization techniques. PhD in Computer Science (2022), Graz University of Technology MSc in Space Sciences (2018), TU Graz BSc in Computer Science (2014-2022) and Aviation (2015), FH JOANNEUM Research focuses on visual analytics , 3D object retrieval , and cross-modal search , with applications in: Medical domains (diabetes care, health information systems) Cultural heritage (pottery analysis, fragment matching, digital restoration) Pattern recognition (geometric motifs, surface textures) Recent publications highlight trends in adaptive visualization (2024-2025) and 3D cultural heritage analysis (2021-2023). Key projects include: HEREDITARY (2024-present): HORIZON Europe project on gut-brain interaction A+CHIS (2020-present): FWF research group on adaptive health information systems CrossSAVE-CH (2019-2022): Cross-modal search in cultural heritage Scientific recognition includes: Best Challenge Entry (2024) Honorable Mention (2020) PhD distinction (2022) Mentored 12+ students in topics ranging from medical chatbots to 3D pottery analysis . Reviewing activities span journals like Springer Nature and conferences including WSCG.

• Computational Neuroscience
• Machine Learning
• Neural Dynamics
• +۵ مورد دیگر

Dr. Emili Balaguer-Ballester is an Associate Professor in Computational Neuroscience at Bournemouth University, UK. He co-champions the Interdisciplinary Neuroscience Research Centre and serves as Senior Fellow of the Higher Education Academy. His research spans computational neuroscience, machine learning, and virtual reality applications, with collaborations across Europe (University of Barcelona, Heidelberg University, IDIBAPS, Polyra) and North America (Indiana Purdue University, University of British Columbia). PhD in Physics (Cum Laude) from University of Valencia (2001) MSc in Neuroscience and Biology of Behaviour from University of Seville (2004) Research focuses on cortical network dynamics, mesoscopic auditory cortex modeling, top-down modulation in cognition, and affective computing in VR. His work combines nonlinear time series analysis with neurodynamic modeling to study spontaneous and task-related brain activity states. Recent publications demonstrate expertise in causal inference, neuroevolutionary optimization, and affective state detection using EMG/PPG sensors in VR environments. Collaborators include neuroscience labs (Sanchez-Vives, Durstewitz) and tech companies (Sony London, Emteq). PhD thesis award - Culture Institute 'Juan Gil-Albert', Spain (2001) Senior Fellow Higher Education Academy (2020) Secured major grants including Royal Society funding for cortical network modeling (2022), Human Brain Project ERC support for neuromorphic hardware (2022), and Santander Bank research travel grants (2016). Supervised 14 PhD students through projects involving data streams, VR immersion, and cortical dynamics. Labs include Balaguer Lab (GitHub), Interdisciplinary Neuroscience Research Centre, and collaborations with Human Brain Project. Teaching encompasses doctoral-level neuroscience, MSc data analytics, and undergraduate systems design courses.

Laura Trafi-Pratsمشاهده پروفایل

دانشیار

• Education
• Youth Studies
• Arts-Based Research
• +۶ مورد دیگر

Dr. Laura Trafi-Prats is a Reader at the School of Education (CYES) at Manchester Metropolitan University, specializing in education, youth studies, and arts-based methodologies. Her research explores how youth engage with digital technologies, urban spaces, and cultural institutions through collaborative ethnographies and posthumanist frameworks. She leads projects funded by UKRI and ESRC, including studies on smart school environments and spatial practices. Her work prioritizes creative dissemination through exhibitions, video, and alternative publications. Her expertise spans art in education, critical digital literacy, and affect theory. She collaborates with artists and cultural organizations to empower youth in addressing societal challenges. Notable outputs include the co-edited book Visual Participatory Arts-Based Research in the City (2022) and contributions to ESRC-funded spatial research. She mentors doctoral students focusing on urban space, art-nature curricula, and interdisciplinary methodologies. Recent grants include the ESRC-funded 'Mapping Spatial Practices and Social Distancing in Smart Schools' (2021-2022) and a project on Black spatial exploration in Tallahassee (2020-2021). Her teaching emphasizes postgraduate theory and research design, fostering critical engagement with digital and sensory methodologies.

Michael Hornbergerمشاهده پروفایل

استاد

• Dementia
• Neurology
• Ageing
• +۶ مورد دیگر

Michael Hornberger is a Professor of Applied Dementia Research at the Norwich Medical School, University of East Anglia, and serves as Associate Dean of Innovation in the Faculty of Medicine and Health Sciences. His research focuses on improving dementia diagnosis, tracking disease progression, and managing symptoms, particularly spatial navigation deficits in dementia patients. He employs methodologies like neuroimaging, genetics, and sensor technology, and explores interventions such as pharmacological and non-pharmacological treatments. Education: Ph.D. in Psychology (University College London, 2006), M.Sc. in Human Biology (University of Vienna, 2001), B.A. in Biology (University of Osnabrück, 1998). Professional history includes roles at Cambridge University and time in Sydney, Australia. Research Interests: Ageing and dementia, cognitive test development, neuroimaging, and novel assessment technologies. Key projects include investigations into Alzheimer’s risk in inflammatory arthritis and the acute benefits of American Ginseng on cognition. Media Expertise: Dementia, healthy ageing, and elderly care. Notable media coverage includes discussions on navigation skills influenced by upbringing and GPS trackers for dementia sufferers.

• Knowledge Graphs
• Semantic Web
• Data Quality
• +۵ مورد دیگر

Elena Simperl is a Professor at King's College London, UK, with former affiliations at the University of Southampton and Karlsruhe Institute of Technology. Her work focuses on knowledge graphs, semantic web technologies, and AI-driven data management. She leads research in collaborative knowledge engineering, dataset search, and AI ethics, contributing to projects like the TheyBuyForYou platform for public procurement transparency. Her research interests span knowledge representation, crowdsourcing, and human-AI collaboration. Notable contributions include advancing methods for knowledge graph construction, improving data quality via crowdsourced and automated approaches, and exploring the societal impact of AI systems. She has co-edited major conferences such as ISWC and ESWC, and her work bridges technical innovation with practical applications in public policy and information systems. Key projects include developing frameworks for dataset usability, AI-ready data infrastructure, and systems for fact-checking visual content. Her collaborations span academia and industry, addressing challenges in data governance, misinformation detection, and ethical AI deployment.

Regina Kaplan-Rakowskiمشاهده پروفایل

استادیار

• Immersive Learning Environments
• Artificial Intelligence in Education
• Computer-Assisted Language Learning
• +۵ مورد دیگر

Regina Kaplan-Rakowski is an Assistant Professor in the Department of Learning Technologies at the University of North Texas. Her research focuses on immersive technologies like virtual reality (VR), artificial intelligence (AI), and computer-assisted language learning. She holds a PhD in Curriculum and Instruction from Southern Illinois University (2016), an MA in Foreign Languages (2006), and an MEd in European Studies (2001) from Pedagogical University, Cracow. Her research interests include VR applications in education, emotional responses to technology, and second language acquisition. Notable projects explore VR for social isolation mitigation, AI-mediated language learning, and accessibility for visually impaired learners. She has co-edited multiple books on educational technology, including pandemic-era teaching strategies and AI-driven innovations. Recent publications highlight VR’s impact on language anxiety reduction, AI integration in teacher training, and the effectiveness of immersive technologies in vocabulary and listening comprehension. Her work bridges theoretical insights with practical applications, influencing both classroom practices and technology design.

Beppe Liottaمشاهده پروفایل

استاد

• Network Analysis
• Graph Drawing
• Data Visualization
• +۵ مورد دیگر

Beppe Liotta is a Full Professor at the Department of Engineering, University of Perugia. He serves as Rector Delegate for ICT and Digital Agenda. His research spans network discovery, graph drawing, algorithm engineering, and computational geometry . Laurea in Electrical Engineering (1990), Ph.D. in Computer Engineering (1995), both from University of Rome 'La Sapienza' Post-doc at Brown University (1995-1996) Current teaching: Information Visualization and Database Management Systems Liotta has authored over 170 papers and led projects like VisFAN (financial crime detection), VHyXY (large graph visualization), COWA (web traffic analysis), and WhatsOnWeb (web clustering). His work focuses on hybrid visualizations and network robustness . Recent articles highlight his expertise in biological networks , financial activity networks , and one-to-many matched graph visualizations . He has contributed to journals like IEEE Transactions on Visualization and Computer Graphics and conferences including PacificVis and Graph Drawing . Liotta actively participates in scientific service, including editorial roles for the Journal of Graph Algorithms and Applications and program committees for IEEE PVIS 2019.

Pernille Hemmerمشاهده پروفایل

استاد

• Cognitive Psychology
• Episodic Memory
• Semantic Memory
• +۴ مورد دیگر

Pernille Hemmer is a Professor in the Department of Cognitive Psychology at Rutgers University. She joined the faculty in 2012 after completing a postdoctoral fellowship at Syracuse University and earning her Ph.D. from the University of California, Irvine's Department of Cognitive Science. Her research focuses on memory systems, decision-making in naturalistic environments, and Bayesian models of cognition. She leads the CCM Lab (https://sites.rutgers.edu/ccm-lab/), investigating how prior knowledge integrates with episodic memory and influences cognitive processes. Key research interests include: Episodic and semantic memory integration Optimal use of prior knowledge in cognitive tasks Bayesian analysis of individual differences in rational models Belief systems and agency perception Her work spans experimental psychology, computational modeling, and interdisciplinary approaches. Notable contributions include developing generalized Bayesian models of reconstructive memory and frameworks for understanding belief dynamics. Recent research explores socially cognizant robotics and counterintuitive concepts across domains. Awards: Higher-Level Cognition Modeling Prize (2008) Her National Science Foundation CAREER grant (2015) supports applications of Bayesian inference to memory and decision-making. Current projects examine temporal binding mechanisms and the memorability of supernatural concepts through novel methodological tools.

• Neuroscience
• Cognitive Science
• Neuroimaging
• +۷ مورد دیگر

Giacomo Handjaras is an Assistant Professor at the IMT School for Advanced Studies Lucca, affiliated with the MOMILAB research group. His work focuses on neuroimaging, sleep neurophysiology, affective neuroscience, and brain structure-function relationships. He explores topics such as neural correlates of emotions, sleep dynamics, and motor control mechanisms using advanced methodologies like EEG, fMRI, and computational linguistics. Research interests include: (1) Sleep architecture and slow-wave subtypes linked to thalamic activity, (2) Multisensory integration in perception and action, (3) Neuroplasticity in sensory restoration, (4) Computational analysis of dream semantics, and (5) Telemedicine applications in cardiac rehabilitation. His studies often integrate behavioral, neuroimaging, and computational approaches. Recent publications highlight trends in sleep-brain interactions, affective processing across modalities, and neural mechanisms underlying communication deficits. He has contributed to understanding the role of thalamic regulation in sleep stages and the impact of sensory deprivation on brain organization in congenitally blind individuals. His work bridges basic neuroscience with clinical applications in rehabilitation and cardiovascular health.

Angela D. Friedericiمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Neuroscience
• Language Processing
• +۴ مورد دیگر

Professor Angela D. Friederici is a leading cognitive neuroscientist and Director of the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany. She holds honorary professorships at the University of Leipzig, University of Potsdam, and Charité University Medicine Berlin. Her work focuses on the neural basis of language processing, syntax, and developmental cognitive neuroscience. Friederici has published over 500 peer-reviewed papers and received numerous accolades, including the APS William James Fellow Award (2023) and the Huttenlocher Award (2021). Education: PhD in Linguistics (1976, University of Bonn), Habilitation in Psychology (1986, Justus Liebig University Giessen). Affiliations: Founding Director of the Max Planck Institute for Human Cognitive and Brain Sciences since 1994. Served as Vice-President of the Max Planck Society (2014–2020). Research Interests: Evolution of language networks, syntax processing, neuroanatomical correlates of language, and developmental trajectories of cognitive abilities. Awards: Includes Leibniz Prize (1997), Wilhelm Wundt Medal (2018), and Gauss Medal (2011). Her recent work explores the neural underpinnings of syntax in humans and primates, with studies on chimpanzee communication and cross-linguistic brain plasticity. Friederici has pioneered methods in neuroimaging and electrophysiology to dissect language networks.

Paola Mengottiمشاهده پروفایل

پژوهشگر

• Cognitive Neuroscience
• Neurostimulation
• Neuroimaging
• +۲ مورد دیگر

Dr. Paola Mengotti is a Senior Researcher in the Cognitive Neuroscience group (INM-3) at the Research Center Jülich, Germany. Her work focuses on cognitive processes, particularly spatial attention, neurostimulation techniques, and neuropsychological mechanisms. She investigates the interplay between neural networks and behavioral outcomes using advanced methodologies such as neuroimaging (fMRI, EEG) and transcranial magnetic stimulation (TMS). Her research interests include belief updating during attentional tasks, the role of the temporo-parietal junction in cognitive functions, and the neural correlates of food valuation and eating behavior. She also explores motor intention and decision-making processes, with studies on how brain responses modulate trust-repayment behaviors and energy estimation of food items. Mengotti's studies often integrate behavioral experiments with neuroimaging data to uncover mechanisms underlying attentional deployment, conflict resolution, and probabilistic reasoning. Her work highlights the importance of network-based approaches in understanding both typical and pathological cognitive functions, such as in stroke patients and aging populations. Key contributions include identifying neural signatures of belief updating and spatial attention deficits, as well as the impact of body-part specificity in gesture imitation post-stroke. Her research bridges cognitive neuroscience with clinical applications, emphasizing translational outcomes for neuropsychological rehabilitation and neurostimulation therapies.

Jannis Julien Grimmمشاهده پروفایل

پژوهشگر

• Middle Eastern Studies
• Political Science
• Social Movements
• +۶ مورد دیگر

Dr. Jannis Julien Grimm is a Researcher at the Institute for Social Movement and Protest Studies (ipb) and the Center for Middle Eastern and North African Politics at Freie Universität Berlin. He holds dual roles as Regional Coordinator for Trade Unions and Social Justice in the MENA region and Libya Policy Analyst at the Friedrich-Ebert-Stiftung (since 2019). His academic career includes doctoral research on post-revolutionary Egypt’s protest dynamics, culminating in his 2020 thesis and 2022 book Contested Legitimacies . He co-leads the SAFEResearch project, developing fieldwork safety protocols, and contributes to academic journals like Forschungsjournal Soziale Bewegungen . His work bridges political theory with empirical research on authoritarianism, social mobilization, and academic freedom in the Middle East. Education: Studied Middle Eastern Studies and Political Science in Münster, Berlin, and Cairo. Completed PhD at the Berlin Graduate School Muslim Cultures and Societies (2015–2019). Research Interests: Focuses on protest dynamics, authoritarian restoration in post-Arab Spring states, and researcher safety in hostile environments. Explores discursive strategies in contentious politics, particularly how narratives shape mobilization and repression outcomes in Egypt and MENA. Grants & Projects: Led SAFEResearch (since 2016) and contributed to SWP Berlin’s ‘Elite Change in the Arab World’ project. Supervised by Prof. Cilja Harders and Prof. Carola Richter during doctoral studies. Labs/Teams: Active at ipb and the Center for Middle Eastern Politics. Convenes the Politics from Below colloquium on social movement theory.