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Gabriele Kitzmüller is a Professor at UiT The Arctic University of Norway, employed in two half positions: one at the Master's degree program in Nursing and another at the PhD program in Health Sciences, Aging and Geriatric Health Work. She is affiliated with the Department of Health and Care Sciences and is based in Narvik. Her work spans clinical practice, education, and research, with a focus on psychosocial well-being, existential experiences, and family caregiving in post-stroke and mental health contexts. Professor, PhD UiT The Arctic University of Norway Department of Health and Care Sciences Her research interests include existential caregiving , palliative care , mental health support , and stroke rehabilitation . She has conducted extensive qualitative studies on family caregivers' experiences in rural areas, sibling caregiving, and the role of hope in recovery. Her methodological expertise encompasses meta-ethnography , RCT process evaluations , and qualitative synthesis . The 15 most recent articles highlight trends in existential experiences of caregivers, psychosocial interventions post-stroke, and qualitative methodologies in health research. Notable subfields include end-of-life care , mental health trajectories , dialogue-based rehabilitation , and comfort theory in nursing. She has also explored educational frameworks in nursing curricula and ethical challenges in dementia care. Her teaching areas include qualitative methods , hermeneutics , and healthcare ethics . She contributes to research groups like Courage2B and participates in projects addressing home-based palliative care, family caregiving, and geriatric health. Detailed information about her work can be found in her comprehensive description below.

• Nursing
• Health Sciences
• Palliative Care
• +5 more

Kousha Etessami is a Professor in the Laboratory for Foundations of Computer Science within the School of Informatics at the University of Edinburgh . His research spans theoretical computer science with a focus on automated verification, logic, algorithms and computational complexity, algorithmic game theory, stochastic systems, automata theory and model checking. Research Interests: Automated verification and model checking Logic and computational complexity Algorithmic game theory and equilibrium computation Analysis of probabilistic systems, Markov decision processes and stochastic games Automata theory and infinite-state systems Finite model theory and descriptive complexity His publications reveal a strong profile in algorithmic game theory, stochastic modelling, and verification of complex systems. Recent work focuses on equilibrium computation complexity, reachability in stochastic games, and fixed-point methods for probabilistic models. He has contributed extensively to both foundational theory and practical algorithms, with journal publications in top venues including SIAM Journal on Computing , Journal of the ACM , Information and Computation , and Games and Economic Behavior . Students & Collaborators: PhD graduates: Thomas Webster (2024), Emanuel Martinov (2021), Alistair Stewart (2014), Dominik Wojtczak (2009) Postdoc: Václav Brožek (Newton Fellow, now at Google-Munich) Teaching Contributions: Professor Etessami teaches and has taught courses on Algorithmic Game Theory, Randomized Algorithms, Discrete Mathematics, Stochastic Modelling and Simulation, and Compiling Techniques at the University of Edinburgh. Contact: Email: kousha@inf.ed.ac.uk Office: Informatics Forum, Room 5.20, 10 Crichton Street, Edinburgh EH8 9AB, Scotland, UK Telephone: +44 (0)131 650 5197

• Theoretical Computer Science
• Automated Verification
• Logic
• +11 more

Michael Spivey is a Professor in the Cognitive & Information Sciences department at the University of California, Merced. His work bridges cognitive science, linguistics, and neuroscience, focusing on how embodied processes shape cognition and language. Dr. Spivey's research interests span language processing, eye movements, embodied cognition, and dynamical systems. He investigates how cognitive processes unfold in real-time through methods like eye-tracking and mouse-tracking. His work challenges traditional computational models of cognition, advocating for dynamical systems approaches that emphasize continuous, non-linear processes. He has made significant contributions to understanding how language and vision interact, how moral decisions are shaped by sensorimotor processes, and how creativity relates to spatial foraging behaviors. His recent publications reveal a strong trend toward investigating cognition as a dynamic, embodied process. Rather than viewing the mind as a digital computer, Spivey's work emphasizes continuous trajectories in cognitive state space, showing how seemingly discrete cognitive phenomena emerge from underlying continuous processes. His research often employs innovative methodologies that capture the temporal dynamics of cognitive processes. Dr. Spivey is the author of "Who You Are: The Science of Connectedness" (2020, MIT Press), which explores how human cognition extends beyond the brain to incorporate the body and environment. His laboratory investigates the real-time dynamics of cognitive processes through eye-tracking, mouse-tracking, and other behavioral measures. Current research examines how social context influences perspective-taking, how creativity relates to spatial search behaviors, and how physiological fluctuations relate to cognitive timing.

• Language processing
• eye movements
• embodied cognition
• +6 more

Albert Wall is an Associate Professor of Romance Linguistics at the University of Vienna. His academic career spans institutions including the University of Tübingen, Federal University of Rio de Janeiro (UFRJ), Fluminense Federal University (UFF), and University of Zurich, where he worked on multiple Swiss National Science Foundation (SNF) projects. Current role: Associate Professor at University of Vienna Prior roles: Assistant for Portuguese/Spanish Linguistics at Zurich University Education: Studies in Romance and Slavic Philology (Tübingen, Rio de Janeiro, Niterói) PhD: Completed in 2015 at Zurich Research Focus : Syntax and semantics of nominal phrases Bare nominals in Brazilian Portuguese Differential Object Marking (DOM) in Spanish and Portuguese Syntax-Phonology interface Experimental linguistics methodologies Publications include monographs and edited volumes on Brazilian Portuguese linguistics, DOM in Romance languages, and methodological approaches to micro-variation studies. His recent work analyzes DOM across Spanish varieties, semantic scales in Ibero-Romance, and language contact phenomena at the Uruguay-Brazil border. Academic Affiliations : Member of Societas Linguistica Europaea Collaborator with Johannes Kabatek and Philipp Obrist Contributor to conference proceedings and journals like Journal of Portuguese Linguistics

• Romance Linguistics
• Syntax-Semantics Interface
• Bare Nominals
• +4 more

Dr. Alexander R Jensenius is a researcher at the University of Oslo's Department of Musicology, specializing in Embodied Music Cognition and New Interfaces for Musical Expression (NIME) . With multidisciplinary training in informatics, mathematics, musicology, and music technology, his work bridges music research with motion capture systems, sensor technology, and interactive performance tools. His research intersects with multiple subfields, including: Human movement analysis for musical applications using infrared and inertial sensors Web audio pedagogy through cross-campus team-based learning frameworks Open research practices addressing data handling challenges in musicology Dr. Jensenius has pioneered comparative studies between high-end (Qualisys) and affordable (OptiTrack) motion capture systems, examining their suitability for dance music research and live performance contexts. His technical contributions include synchronization tools for multimodal music data and the Dance Jockey System for full-body interaction with Xsens MVN suits. Recent publications demonstrate his focus on: Optimizing motion data reliability for music performance analysis Developing "good enough" open research practices in empirical musicology Enhancing team-based programming education through web audio technologies He also explores philosophical dimensions of music cognition, including sound-motion similarity theories and embodied memory in telematic performances with migrant communities.

• Embodied Music Cognition
• New Interfaces for Musical Expression (NIME)
• Music Technology
• +5 more

Jamal Ouenniche is a Professor and Chair in Business Analytics at the University of Edinburgh Business School. He serves as Head of the Management Science and Business Economics group, Director of the MSc in Business Analytics, a Member of the Senate, and a Member of the Business School Executive Board. Education: BSc in Mathematics, MSc in Operational Research (University of Montreal), PhD in Operations Management (Laval University). His research spans descriptive, predictive, and prescriptive analytics , addressing managerial challenges in energy, manufacturing, transport, banking, and public sector policy. Methodological contributions include optimization, artificial intelligence, DEA, risk modeling, and forecasting. Recent research trends focus on bankruptcy prediction (complex networks, feature selection), DEA applications (Islamic banks' productivity), and simulation model reuse in operational contexts. He acts as a referee for over 25 journals, conferences, and councils like ESRC and SSHRC, and serves as Associate Editor for the Journal of Optimization Theory and Applications . Collaborations span energy sustainability, financial resilience, and cross-country research councils.

• Business Analytics
• Operations Management
• Data Envelopment Analysis (DEA)
• +5 more

PD Dr. Gregor Hardiess is a Senior Lecturer in Cognitive Neuroscience at the Faculty of Biology, University of Tübingen. His research explores the interplay between gaze behavior, working memory, and spatial cognition, with a focus on both healthy subjects and visually impaired patients. Supervises student theses (PhD, Master, Bachelor) in Visual Cognition, Spatial Cognition, and Neurobiology Conducts practical courses and seminars on topics like Visual Cognition, Spatial Cognition, and Working Memory His work investigates how eye and head movements support cognitive processes, particularly in dynamic environments. He studies trade-offs between sensory acquisition and memory usage, spatial working memory metrics, and compensation strategies for visual field defects in navigation tasks. Key publication themes include gaze control in collision avoidance, cross-modal integration in working memory, and language's role in spatial cognition. He has contributed to journals such as Journal of Vision , Vision Research , and Frontiers in Psychology , with a focus on experimental methodologies in virtual reality. Hardiess also engages in interdisciplinary collaborations, delivering invited talks on topics like gaze adaptation, visual exploration in hemianopic patients, and cognitive strategies in spatial tasks.

• Cognitive Neuroscience
• Working Memory
• Spatial Cognition
• +5 more

Jan Engelbrecht is a Professor of Physics at Boston College's Department of Physics. He holds a Ph.D. from the University of Illinois. His research focuses on strongly correlated electron systems, high-temperature superconductors, Fermi Liquid theory, and neural oscillator networks. Notable contributions include studies on the Ott-Antonsen manifold, Kuramoto oscillator networks, and phase transitions in driven neural models. Education: Ph.D., University of Illinois. Research Interests: Explores theoretical frameworks for strongly correlated systems, including superconductivity, non-Fermi liquid behavior, and quantum well phenomena. Recent work addresses synchronization dynamics in oscillator networks and hyperbolic geometry applications. His studies bridge condensed matter physics with nonlinear dynamics and neuroscience. Publications span topics from quantum many-body systems to neural network synchronization, reflecting interdisciplinary engagement. No scientific awards explicitly mentioned. Advising and grants sections remain unpopulated in available texts.

• Strongly correlated electron systems
• High-temperature superconductors
• Fermi Liquid theory
• +5 more

Dongming Xu is a Professor at Sun Yat-sen University's School of Data and Computer Science, Department of Information Systems, with an extensive publication record spanning over two decades in the field of Information Systems. His scholarly contributions demonstrate expertise in intelligent agent systems, e-learning environments, digital innovation, and knowledge management, with recent work expanding into healthcare informatics, 5G technology, and FPGA design. Xu's research interests focus on the intersection of technology and human behavior, particularly examining how digital systems can enhance learning, financial management, healthcare delivery, and disaster response. His work employs both theoretical frameworks and practical implementations, often utilizing intelligent agents, machine learning techniques, and socio-technical perspectives to address complex information system challenges. Analysis of Xu's 15 most recent publications reveals a strategic evolution in research focus, beginning with foundational work in intelligent agent-supported systems and virtual learning environments, expanding into knowledge management and digital disruption theory, and most recently incorporating advanced technical implementations in wireless communications and hardware design. This progression demonstrates both theoretical depth and practical application across multiple domains. Multiple publications in top-tier Information Systems journals including Information Systems Journal, Journal of Global Information Management, and Decision Support Systems Regular contributions to premier conferences such as PACIS, ICIS, HICSS, and AMCIS Interdisciplinary research connecting computer science, business, healthcare, and social sciences Xu has established productive research collaborations with scholars across multiple institutions, particularly working with Huaiqing Wang, Jun Shen, Tingru Cui, and Geng Sun. His research has received consistent funding support, enabling sustained investigation into evolving information technology challenges. Current work shows increasing emphasis on AI applications in healthcare, advanced communication technologies, and digital platform ecosystems.

• Information Systems
• Intelligent Agent Systems
• E-Learning
• +5 more

Silas Bossert is a Research Assistant Professor in the Department of Entomology at Washington State University (WSU), within the College of Agricultural, Human, and Natural Resource Sciences (CAHNRS). His research focuses on evolutionary biology and systematics of bees, particularly using phylogenomic methods to study their diversification, biogeography, and taxonomic classification. He specializes in describing new species and analyzing bee traits through phylogenetic and historical biogeographic approaches. Education: Ph.D. in Entomology from Cornell University (2020), M.S. in Zoology from the University of Vienna (2014), and B.S. in Biological Sciences from the University of Constance (2011). Research interests include bee phylogenetics, pollinivory dynamics, and the application of ultraconserved elements (UCEs) for resolving evolutionary relationships. His work bridges genomic data with fossil records to understand temporal patterns in hymenopteran evolution. He has contributed significantly to the taxonomy of bees, including descriptions of new species in genera like Schwarzia , Pseudapis , and Maculonomia . Publications highlight his expertise in bee phylogeny, biogeography, and methodological advancements in phylogenomic research. Notable contributions include studies on cleptoparasitic bees, cryptic species complexes in Bombus , and the development of tools for biodiversity data synthesis (e.g., the BeeDC R package). Grants and collaborations are implied through his extensive research output, though specific funding details are not listed. His work emphasizes conservation relevance, particularly through accurate taxonomic frameworks and citizen science engagement.

• Evolutionary Biology
• Entomology
• Phylogenetics
• +3 more

Christopher Smyth is a Lecturer in the Department of Biological Sciences at Binghamton University. His research focuses on fungal taxonomy, ecology, and evolution, with a recent emphasis on marine fungi and fungal pathogens of wildlife. He teaches introductory biology and microbiology courses, and developed a 3-week field course, Coastal and Marine Mycology, at the Chincoteague Bay Field Station (2019). Smyth holds a PhD from Pennsylvania State University and a BS from Lock Haven University of Pennsylvania. His research investigates the ecology and epidemiology of fungal diseases affecting sea turtles, particularly Fusarium species linked to sea turtle egg fusariosis (STEF). He also explores microbial interactions in coastal environments and fungal biodiversity. Smyth's work bridges mycology, marine biology, and wildlife health, with articles published in journals covering taxonomy, pathogen ecology, and genomic classification. He maintains an active research profile through platforms like Google Scholar and collaborates on fungal systematics projects via initiatives like Fungal Planet description sheets. Though no awards are listed, his contributions to marine mycology and wildlife disease ecology are highlighted through peer-reviewed publications.

• Marine Fungi
• Fungal Taxonomy
• Fungal Diseases of Wildlife
• +3 more

Ali Sadegh is a Professor in the Department of Mechanical Engineering at The City College of New York (CCNY), part of the City University of New York (CUNY) system. His primary affiliation is with the College of Engineering, where he contributes to undergraduate and graduate education in mechanical engineering disciplines. His research focuses on areas such as advanced materials, robotics, and thermal systems, leveraging interdisciplinary approaches to solve complex engineering challenges. Dr. Sadegh's work is supported by state-of-the-art facilities, including the Composite Actuators and Electromechanical Design Laboratory (CAEDD) associated with his research group. While specific educational background details are not provided in the text, his professional role as a professor implies advanced academic credentials in mechanical engineering. His research interests emphasize practical applications of mechanical engineering principles, possibly extending to mechatronics and manufacturing technologies. Collaborative projects and industry partnerships may further characterize his academic contributions. No specific grants, awards, or student advisees are explicitly listed in the provided text. His laboratory activities and team collaborations are assumed to be central to his professional profile, though detailed descriptions of these remain unspecified.

• Mechanical Engineering
• Materials Science
• Robotics
• +3 more

Elisabeth Cederberg Øvensen serves as a PhD Research Fellow at the Department of Information and Communication Technology, University of Agder (UiA), where she investigates game-oriented approaches to reduce isolation and prevent school dropout among youth with special needs through her project 'Designing a Gameful Experience for Enhancing Inclusive Education and Reducing Teen Dropout Rates.' Her research spans critical domains at the technology-human behavior intersection: Gamification and Gameful Experiences Academic e-sports applications Student Motivation and Self-efficacy Inclusive Education technologies People and Technology interaction frameworks Recent publications demonstrate a clear trajectory toward leveraging game mechanics in educational contexts, with emphasis on transitioning middle-to-high school students. Her 2024 work establishes foundational frameworks for gameful learning environments, while earlier cybersecurity education research informs pedagogical approaches to complex technical domains. Scientific recognition: No formal awards documented in source materials Professional activities include dual roles in academic research and industry, where she manages IT development projects as a functional solution architect. No student supervision or grant funding details are provided in available documentation. Research infrastructure descriptions are absent from current public profiles.

• Gaming
• Academic e-sports
• Gamification
• +4 more

Matthias Erben is a retired Professor at Ludwig Maximilian University of Munich (LMU), affiliated with the Faculty of Biology and the Department of Systematics, Biodiversity & Evolution of Plants. His research focuses on plant systematics, particularly the genera Limonium (Plumbaginaceae) and Viola (Violaceae), emphasizing Mediterranean flora and hybridization mechanisms. He employed karyological methods and comparative culture trials, cultivating over 1,500 plants to study complex forms in these genera. His collaborative projects include contributions to the Flora Iberica and Flora Hellenica , active participation in the Referee Committees for Flora Mediterranea and Anales del Jardín Botánico de Madrid , and membership in the OPTIMA Commission for Karyosystematics. These efforts highlight his international partnerships, primarily with Mediterranean and European institutions. Erben’s articles analyze hybridization patterns in Limonium (linked to apomixis) and Viola (via sexuality), salt tolerance evolution, and biogeographical distribution of angiosperms in arid and temperate zones. His work bridges traditional taxonomy with cytological insights, addressing challenges in species classification and evolution. No scientific awards are explicitly mentioned in the provided information. His advising and grants sections remain unlisted, but his research involved significant collaborative projects. He retired from LMU but retains a legacy in plant systematics through his contributions to global flora projects and karyosystematic methodologies. Labs/Teams: Active involvement in the OPTIMA Commission, Flora Iberica, Flora Hellenica, and Dinophyte Seminars at LMU. Collaborations with foreign institutes like the Botanical Garden of Palermo and Tunisian botanical teams further underscore his network-driven approach to research.

• Systematics
• Angiosperms
• Mediterranean Flora
• +3 more

Luo Chen is a post-doctoral researcher at the Ludwig Maximilian University of Munich within the Faculty of Biology , specifically affiliated with the Department of Systematics, Biodiversity & Evolution of Plants . Under the mentorship of Prof. Dr. Kadereit , his work bridges traditional taxonomy with modern phylogenomic approaches. Research Focus : Taxonomy, phylogenetics, and evolutionary biology of seed plants, with primary emphasis on Old World Melastomataceae (especially fleshy-fruited Sonerileae and Malagasy lineages) Collaborations : Partners include Senckenberg Society for Nature Research , Grand Valley State University , Sun Yat-sen University , and Florida Museum of Natural History Recent publications demonstrate methodological innovation combining Angiosperms353 bait set data with Sanger sequencing for resolving complex phylogenetic relationships. His work addresses taxonomic uncertainties in Melastomataceae tribes, including rediscoveries of enigmatic genera and documentation of rare reproductive phenomena like vivipary in Afrotropical species.

• Plant Taxonomy
• Phylogenetics
• Evolutionary Biology
• +3 more