جست‌وجوی استاد و پژوهشگر

Maria Bardají i Farréمشاهده پروفایل

پژوهشگر

• Language Documentation
• Morphosyntax
• Corpus Linguistics
• +۴ مورد دیگر

Dr. Maria Bardají i Farré is a researcher at the Department of Linguistics, University of Cologne, Germany. She also serves as a Substitute Lecturer at the University of Barcelona since 2023, contributing to academic teaching while advancing her research in Austronesian languages. PhD: a.r.t.e.s. Graduate School for the Humanities Cologne (2019–2022) Master of Arts: Linguistics (2016–2018) Bachelor of Arts: Modern Languages and Literatures (2012–2016) Her research focuses on language documentation, morphosyntax, and corpus linguistics, with a strong emphasis on Austronesian languages, particularly Totoli. Key themes include nominalization , subordination , symmetrical voice systems , and information distribution in linguistic structures. Maria's publications and projects highlight her expertise in documenting endangered languages, analyzing phonetic and syntactic phenomena, and employing computational methods to study dependency structures and discourse markers . Her work bridges theoretical linguistics with practical language preservation efforts.

• Natural Language Processing
• Machine Learning
• Social Media Analysis
• +۴ مورد دیگر

Vivek Kulkarni is a Professor at Stanford University's Department of Computer Science, with extensive contributions to natural language processing, machine learning, and intelligent IoT environments. His work bridges computational methods with social science applications. Key Affiliations: Stanford University (2024), Nara Institute of Science and Technology (2022), Stony Brook University (2014) Research Interests span NLP, social media analysis, energy-efficient computing, and IoT systems. He develops instruction-tuned models for social tasks, multilingual text editing frameworks, and socially sensitive pretraining methods. Publication Trends (2024–2014): 46% focus on NLP, 31% on IoT, 15% on social factors, and 8% on machine learning. Specialized subfields include instruction tuning, multilingual modeling, social language dynamics, and energy-efficient document classification. Collaborations with William Yang Wang, Steven Skiena, Bryan Perozzi, and H. Andrew Schwartz demonstrate interdisciplinary engagement. 15 recent articles highlight advancements in textual representations, social media mining, and contextual modeling.

Martin Holderriedمشاهده پروفایل

استاد

• Digital Health
• Hospital Management
• Healthcare Economics
• +۳ مورد دیگر

Prof. Dr. Martin Holderried serves as Honorary Professor at the University of Hohenheim since 2021. He holds dual roles as Chief Medical Information Officer (CMIO) at University Hospital Tübingen and Managing Director of the Central Medical Department since 2014. Research Focus: Digital transformation in medicine, hospital management, networked healthcare systems, and quality improvement frameworks Academic Background: Dr. med. (2007) and Dr. oec. (2014) from University of Tübingen, Habilitation in Otorhinolaryngology (2023) His recent publications analyze digital health implementations (2024), cochlear implantation outcomes (2023), and mHealth interaction models (2022), with emphasis on interoperability , consent management , and telemedicine workflows . The 2025 article explores healthcare policy challenges in surgical funding. Scientific Recognition: Recipient of prestigious awards including: 2023: Leipziger Innovationspreis für Krankenhauslogistik 2022: CIO des Jahres (Public Sector) 2017: KTQ-Award - Bridging Quality Management theory/practice 2009: RFH-Hospital-Innovation-Preis and Ideas Park recognition

Utku Normanمشاهده پروفایل

پژوهشگر

• Human-Robot Interaction
• Artificial Intelligence
• Educational Technology
• +۴ مورد دیگر

Dr. Utku Norman is a Researcher at the Institute for Technology Assessment and Systems Analysis (ITAS), part of the Karlsruhe Institute of Technology (KIT) . His work focuses on Human-Robot Interaction and Artificial Intelligence applications in educational contexts, particularly through collaborative learning systems. Since 2023, he has contributed to projects like the Real-World Laboratory for Robotic Artificial Intelligence and JuBot , exploring the intersection of technology, cognition, and social impact. Ph.D. , Computer and Communication Sciences, EPFL, Switzerland (2023) M.Sc. , Computer Engineering, Bilkent University, Türkiye (2018) B.A. , Philosophy, Middle East Technical University, Türkiye (2018) B.Sc. , Electrical and Electronic Engineering, Middle East Technical University, Türkiye (2016) Norman's research integrates Technology Assessment and Systems Analysis to study how autonomous, self-learning AI systems interact with humans in practical settings. His work spans disciplines like Computational Thinking , Educational Robotics , and Machine Ethics , often combining empirical studies with algorithmic development. His publications highlight trends in Human-Robot Interaction , focusing on collaborative learning, robot perception in children, and ethical frameworks for autonomous systems. Notably, he contributed to establishing empirical methods for analyzing robot-mediated educational activities and developed tools like the ST-Steiner algorithm for genetic research in earlier career stages. Awards : Marie-Skłodowska-Curie PhD Fellowship (2018–2022) Norman has collaborated with institutions such as EPFL , Télécom Paris , and Bilkent University , participating in EU-funded projects like ANIMATAS . His current work involves analyzing social and psychological dimensions of robotics and developing empirical research methods in human-machine interaction. Contact: utku.norman@does-not-exist.kit.edu

Xiaojuan Maمشاهده پروفایل

استاد

• Human-Computer Interaction
• Data Visualization
• AI-Human Collaboration
• +۳ مورد دیگر

Xiaojuan Ma is a Professor in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST) . Her office is located in Room 3507 of the Academic Building (Lifts 25-26), and she can be reached at mxj@cse.ust.hk . Research Interests: Human-Computer Interaction (HCI) Data Visualization & Visual Analytics Human-AI Collaboration & Social Computing Computational Social Science AI in Healthcare & Educational Technology Her work explores how advanced AI—especially large language models and generative AI—can be seamlessly integrated into human workflows, creative practices, and decision-making processes while preserving human agency and cultural values. Recent Publication Trends (2025): Across 15 forthcoming papers, a clear pattern emerges: the majority investigate human-centered design of AI systems, spanning creative communities (DeviantArt), traditional medicine, hospital admissions, children’s literacy, and older-adult journaling. Visualization and mixed-reality techniques are repeatedly leveraged to make complex data and AI outputs interpretable. Scientific Awards: CHI 2025 Honorable Mention for “Signaling Human Intentions to Service Robots” CHI 2025 Honorable Mention for “‘Let’s Resolve Conflicts’: A Human-AI Deliberation Framework” CHI 2025 Honorable Mention for “‘AI Afterlives’ as Digital Legacy” Student Supervision & Collaborations: Prof. Ma advises an extensive cohort of PhD and Master’s students—including Qingyu, Kangyu, Runhua, Ziqi, Chengbo, Shuai, and more—and maintains active collaborations with researchers at ECNU, SYSU, ShanghaiTech, CityU, HKUST-GZ, Purdue, and ETH Zurich, among others. Labs & Teams: While no single lab name is provided, her affiliations with VisLab (Prof. Qu) and CORE (Collaborative and Robotic Engineering) at HKUST suggest multi-disciplinary research environments that blend visualization, robotics, and social computing expertise.

Trevor Lawleyمشاهده پروفایل

استاد پژوهشی

• Microbiome research
• Host-microbe interactions
• Gut microbiota
• +۵ مورد دیگر

Dr. Trevor Lawley is a Group Leader at the Wellcome Sanger Institute within the Parasites and Microbes programme, where he leads the Host-Microbiota Interactions Lab (HMIL). With over 15 years of experience, he has established himself as a leading researcher in microbiome science, focusing on the complex relationships between humans and their microbial communities. Dr. Lawley's research centers on host-microbiota interactions, particularly how microorganisms on mucosal surfaces (gut, nasopharynx, urogenital tract) interact with their host during health and disease. His lab investigates microbiome assembly in early life, pathogen colonization resistance, symbiosis and bacterial interactions, immune and metabolic development, and the virome and resistome. He employs high-throughput genome sequencing, anaerobic microbiology, and experimental models to identify beneficial microbes and functions that can optimize growth, development, and disease resistance in children from both Westernized and Low- and Middle-Income countries. His recent publications demonstrate a strong focus on neonatal microbiome development, cancer immunotherapy applications, climate change solutions through microbial technologies, and pathogen resistance mechanisms. The research reveals consistent themes of microbial community dynamics, host-pathogen interactions, and translational applications for human health. Canadian Society for Microbiology PhD Student of the Year (Gold Award) Peggy Lillis Innovator Award Dr. Lawley's lab includes numerous postdoctoral fellows, research associates, and students working on various aspects of microbiome research. His work is supported by significant funding from the Medical Research Council and collaborations with major organizations including the Wellcome Trust, Gates Foundation, and multiple international academic institutions. The HMIL generates large-scale publicly available genomic resources and bacterial culture collections while innovating metagenomic technologies and microbiological methods. The Host-Microbiota Interactions Lab maintains strong collaborative relationships with external partners including the Baby Biome Study, James Berkley at the University of Oxford, Judd Walson at the University of Washington, the CHAIN network, and researchers at the Kenya Medical Research Institute. These collaborations extend the lab's impact across global health initiatives, particularly in understanding microbiome development in diverse populations.

• Biochemistry
• Toxicology
• Nanotechnology
• +۳ مورد دیگر

Dr. Ameer Athab Abdulkadhim serves as a Lecturer in the Department of Chemistry at the College of Science, University of Babylon, where he conducts research at the intersection of biochemical analysis and public health challenges specific to Iraq. His academic foundation includes a Master's degree in Biochemistry from the University of Babylon (2021). Research interests span: Biochemistry (trace element analysis in thalassemia) Toxicology (environmental/occupational exposures) Nanotechnology (diagnostic/therapeutic applications) Pharmaceutical Chemistry (computational drug studies) Cancer Research (autophagy modulation) Microbiology (probiotic applications in aquaculture) Recent publications (2023-2025) demonstrate strong interdisciplinary trends, connecting Iraqi population health issues with advanced biochemical methodologies. His work on thalassemia in Iraqi children, cement industry hazards, and hookah smoking effects reveals consistent focus on locally relevant health challenges through biochemical and nanotechnological lenses. With 36 total publications, his output shows accelerating productivity in high-impact journals including Asian Science Bulletin and Brazilian Journal of Biology. Collaborative patterns indicate active international engagement despite regional constraints. Research supervision currently focuses on undergraduate projects within the Chemistry Department, with emerging opportunities in nano-biotechnology applications. His work on nano-antibiotics and computational drug detection suggests growing laboratory-based research capacity.

• Signal processing
• Digital image processing
• Nonlinear dynamic systems
• +۵ مورد دیگر

Professor Kristina Kelber is a faculty member at HTW Dresden (Hochschule für Technik und Wirtschaft Dresden), holding the Chair of Communications Engineering within the Faculty of Electrical Engineering. She is also a member of the Faculty Council, contributing to academic governance at the institution. Her research focuses on signal processing , digital image processing , and the analysis and design of nonlinear dynamic systems . Her work spans theoretical aspects of communications engineering and practical applications in diverse fields including music technology for accessibility applications, bird song identification, film restoration, and visitor center information systems. Her publication record demonstrates consistent expertise from the 1990s to present, with evolving applications from foundational work in chaos-based encryption systems to more recent applied research with social impact. Professor Kelber has secured research funding for projects such as "sprechAktiv," a child-friendly interactive language learning media initiative developed in cooperation with Linguwerk GmbH, Dresden, and funded by the BMBF's SME innovative program from 2013-2015. Her research methodology combines theoretical analysis with practical implementation, as evidenced by publications ranging from mathematical analysis of chaotic systems to applied projects in music technology and image processing. Member of the Faculty Council at HTW Dresden Associated with the Communication Technology laboratory Active researcher with publications spanning over two decades Professor Kelber teaches courses in systems theory, signals and systems, audio and video technology, signal coding, and digital image processing across multiple degree programs. She offers both traditional classroom instruction and distance learning options through the Bildungsportal Sachsen (OPAL) platform, demonstrating adaptability to different educational delivery methods and commitment to accessible education.

Stephen D. Bentleyمشاهده پروفایل

استاد

• Bacterial Genomics
• Pathogen Surveillance
• Pneumococcal Evolution
• +۵ مورد دیگر

Professor Stephen D. Bentley is a Principal Staff Scientist and Team Leader for the Genomics of Pneumonia, Meningitis and Neonatal Sepsis team within the Parasites and Microbes programme at the Wellcome Sanger Institute. He joined the Institute in 1998 and has dedicated his career to decoding the genomics of disease-causing bacteria, with a particular focus on pathogens associated with respiratory infections that have a major disease burden in resource-poor settings. Dr. Bentley's research interests center on using bacterial pathogen genomics to understand patterns of colonization, transmission, and genetic associations with disease. His early work focused on the antibiotic-producing soil bacterium Streptomyces coelicolor and the rare human pathogen Tropheryma whipplei , providing insights into mechanisms of horizontal gene transfer and antigenic variation. This was followed by research into Streptococcus pneumoniae and Neisseria meningitidis , revealing how gene and genome variation occurs between loci and species. Since the development of high-throughput sequencing, his research has focused on population genomics with pioneering papers on MRSA (2010) and the pneumococcus (2011) that revealed patterns of international spread, vaccine escape, and the acquisition of antimicrobial resistance. His work has been instrumental in understanding how bacterial pathogens evolve in response to clinical interventions like vaccines and antibiotics. Professor Bentley's team has made significant contributions to pneumococcal research, particularly through sequencing the capsular biosynthesis genes for all known serotypes of S. pneumoniae , which enabled molecular methods for determining serotype and brought important new understanding of pneumococcal colonization and transmission. His recent work examines within-host genetic diversity, serotype replacement following vaccine introduction, and the global spread of antibiotic-resistant strains, with publications spanning multiple continents and involving extensive international collaborations. Throughout his career, Professor Bentley has mentored numerous early-career scientists and fostered strong global collaborations through initiatives like the Global Pneumococcal Sequencing Project. His work has been pivotal in applying next-generation sequencing technologies to bacterial pathogens, revolutionizing our understanding of how these organisms evolve and adapt in response to selective pressures from vaccines and antibiotics, with direct implications for public health interventions worldwide.

• Oral Biofilm Research
• Dental Materials Science
• Periodontology
• +۶ مورد دیگر

Professor Matthias Hannig is a distinguished researcher and faculty member at Saarland University's Faculty of Medicine, based at the University Hospital of Saarland in the Clinic for Restorative Dentistry, Periodontology and Preventive Dentistry in Homburg, Germany. His research program focuses on the fundamental mechanisms of oral biofilm formation and strategies for its control, with particular emphasis on the initial stages of bacterial colonization in the oral cavity. Professor Hannig's research interests span oral biofilm science, dental materials, periodontology, and preventive dentistry. His work investigates protein adhesion mechanisms on dental surfaces, pellicle composition and dynamics, and the development of novel strategies to control bacterial colonization through nanoscale approaches, natural compounds, and surface modifications. His research has significant implications for developing improved preventive strategies against dental caries, periodontal disease, and peri-implantitis. Analysis of Professor Hannig's recent research output reveals a strong focus on the molecular and nanoscale mechanisms underlying initial oral biofilm formation. His work bridges fundamental science with clinical applications, exploring both natural compounds (like polyphenols and milk components) and engineered solutions (such as antifouling surfaces) for preventing bacterial adhesion. The research spans multiple disciplines including microbiology, biochemistry, materials science, and biophysics, demonstrating an interdisciplinary approach to solving complex problems in oral health. Professor Hannig has secured significant research funding from the German Research Foundation (DFG), serving as principal investigator for numerous projects examining various aspects of oral biofilm formation and prevention. His research program includes both basic science investigations into protein adsorption and biofilm dynamics, as well as applied research developing practical preventive strategies for clinical dentistry. His laboratory work focuses on characterizing interactions between biological fluids, dental materials, and oral microorganisms at the molecular level. This research provides foundational knowledge for developing improved dental materials, preventive treatments, and diagnostic approaches in restorative dentistry and periodontology.

• Childhood theory
• Child Well-being
• Generational and educational order
• +۵ مورد دیگر

Lisa Fischer is a Postdoctoral Researcher at the Department of General and Historical Education within the Faculty of Humanities and Educational Sciences at the Technical University of Berlin. She has been working since 2022 on the BMBF joint project "The Well-being of Children in Socio-Spatial Contexts" (WIKK*I), specifically leading the Ethnography Berlin subproject. Fischer is also a founding member and co-director of the Qualitative Childhood Studies – Early Career Researcher Network since 2019 and serves on the Commission for Anti-Discrimination and Equality at TU Berlin's Faculty I. Her educational background includes dual diplomas in Sociology and Education from Goethe University Frankfurt am Main (2016 and 2015 respectively), following studies in pedagogy, sociology, social psychology and psychoanalysis. Prior to her academic career, she worked as a pedagogical specialist at Rebstock primary school in Frankfurt am Main (2014-2016) and gained research experience through various student assistant positions. Fischer's research centers on childhood theory and digitalization, examining how children navigate relationships and spatial environments in contemporary society. Her doctoral project, ongoing since 2016, investigates "Discursive Relationship Practices of Young People in Digitalized Everyday Worlds," analyzing the tension between relationships as constitutive of modern childhood and cultural debates about children's 'relationship skills' in the context of digital technology use. Her methodological expertise lies in qualitative-empirical approaches, particularly post-structuralist discourse-analytical ethnography. Her recent publications and presentations demonstrate a consistent focus on child well-being, spatial contexts, digital practices, and ethical considerations in childhood research. The trajectory of her work shows increasing attention to intersectional perspectives on children's experiences in learning environments, with particular emphasis on out-of-school settings and the principle of openness. Childhood Research Award from the Martha Muchow Foundation (2018) The International Society for Child Indicators (ISCI) Award in honor of Christine Hunner-Kreisel (2024) Fischer actively supervises early career researchers through her leadership in the Qualitative Childhood Studies network and has presented her work at major international conferences including the DGfE Congress, ISCI conferences, and the ISA World Congress of Sociology. Her research often involves collaborative work with colleagues including Susann Fegter, Stella März, and Karen Geipel, reflecting her commitment to interdisciplinary and international scholarly collaboration.

Christian Bayerمشاهده پروفایل

استاد

• Macroeconomics of heterogeneous agents
• Fiscal friction
• Monetary policy
• +۵ مورد دیگر

Professor Christian Bayer is a Professor of Economics at the University of Bonn, where he has been a full professor since 2008. He is affiliated with the Department of Economics and the Institute for Macroeconomics and Econometrics. His research focuses on macroeconomics of heterogeneous agents, fiscal friction, and monetary and fiscal policy. PhD from the University of Dortmund in 2004 Positions at EUI and Bocconi before joining University of Bonn Member of the Academic Advisory Board of the German Federal Ministry of Economics and Technology Visiting professor at the German Federal Ministry of Finance Member of the German Gas Crisis Commission in 2022 Professor Bayer's research primarily centers on the macroeconomics of heterogeneous agents, examining both firms and households. His work investigates how financial frictions, fiscal policy, and monetary policy affect macroeconomic outcomes and inequality. He has made significant contributions to the development of heterogeneous agent new Keynesian (HANK) models, which have become influential in modern macroeconomic analysis. His recent work has focused on the economic implications of energy shocks, particularly related to Russia's invasion of Ukraine and the resulting energy crisis in Germany. He has also conducted important research on the distributional effects of fiscal policy, the impact of pandemics on consumption patterns, and the convergence dynamics between East and West Germany. Hermann-Heinrich Gossen Prize of the Verein für Sozialpolitik (2022) ERC Advanced Grant (2017) ERC Starting Grant (2012) Professor Bayer has published in leading economics journals including Econometrica and American Economic Review. He is actively involved in policy discussions, frequently contributing op-eds to major German newspapers like FAZ and serving on important policy advisory bodies. He is a member of the ECONtribute: Markets & Public Policy cluster of excellence at the University of Bonn and co-hosts a popular economics podcast called "WRINT: Wirtschaftskunde" where he discusses current economic issues with colleagues.

• Perinatal Epidemiology
• Fertility Research
• Assisted Reproductive Technologies
• +۳ مورد دیگر

Siri Eldevik Håberg serves as Centre Director of the Centre for Fertility and Health (CEFH), a prestigious Centre of Excellence (SFF) funded by the Norwegian Research Council and hosted by the University of Oslo's Faculty of Medicine. Her primary institutional affiliation is with the Norwegian Institute of Public Health (FHI), where she leads cutting-edge research at the intersection of epidemiology, reproductive health, and public policy. Her research expertise spans perinatal epidemiology, with a focus on fertility problems, fetal loss, and the safety of assisted reproductive technologies (ART). She specializes in integrating national registry data, cohort studies, and biological analyses to investigate genetic and epigenetic associations with pregnancy outcomes. Current projects include large-scale studies on vaccination safety during pregnancy, environmental exposures, and transgenerational health effects. Her methodological strengths include registry-based population studies and advanced genetic epidemiology. Håberg's publication record demonstrates consistent leadership in high-impact reproductive epidemiology, with recent work examining ART outcomes, epigenetic mechanisms, and pandemic-related health impacts. Her research trends show increasing emphasis on interdisciplinary collaborations, particularly through the ERC Synergy Project on fertility in young adults and the Pregnancy and Childhood Epigenetics Consortium. Centre of Excellence (SFF) grant from Norwegian Research Council Principal Investigator for ERC Synergy Project on fertility Leadership in Nordic registry collaborations for Covid-19 research As Centre Director, she oversees substantial research funding and international collaborations, including the Norwegian Mother, Father and Child Cohort Study (MoBa). Her team comprises epidemiologists, geneticists, and clinicians working across multiple Nordic institutions. Current initiatives include clinical sampling of young adults to address declining fertility rates in Norway, reflecting her commitment to translating research into public health action.

Gregor Wiedemannمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Text Mining
• Computational Social Science
• +۵ مورد دیگر

Dr. Gregor Wiedemann serves as a Senior Researcher in Computational Social Science at the Leibniz Institute for Media Research (Hans Bredow Institute) since September 2020, co-heading the Media Research Methods Lab (MRML) with Sascha Hölig. His work bridges computer science and social sciences through methodological innovation in empirical media research. Wiedemann holds a doctorate in computer science from Leipzig University (2016), where his dissertation focused on automating discourse analysis using text mining and machine learning. His educational background combines political science and computer science studies at Leipzig University and the University of Miami, followed by postdoctoral work in Language Technology at the University of Hamburg under Prof. Chris Biemann. His research centers on natural language processing and text mining applications for social and media analysis, with significant contributions in hate speech detection, argument mining, and cross-platform misinformation tracking. Recent work demonstrates a strategic shift toward building research infrastructures for sensitive data handling, including the Community Data Trust model for extremism research and the Social Media Observatory open-science platform. His methodology development specifically targets unsupervised information extraction from large document corpora to support investigative journalism and social science inquiry. Wiedemann's publication trends reveal deepening specialization in computational infrastructure development, with 7 of his 11 most recent works (2024-2025) focusing on data trust frameworks, cross-platform methodologies, and AI-driven analysis systems. His projects consistently intersect computational linguistics with pressing social issues including election integrity, climate discourse, and child safety in digital spaces. He has secured major funding through the German Research Foundation (DFG) for the FAME project on argument mining and evaluation, and leads collaborative initiatives including NOTORIOUS (mis- and disinformation tracking) and ComAI (communicative AI impact studies). His work with state media authorities on family influencing content demonstrates applied policy relevance. As co-director of the Media Research Methods Lab, Wiedemann oversees a dynamic team developing cutting-edge computational approaches for media analysis. The lab functions as an interdisciplinary hub connecting computer scientists with social researchers, with current projects spanning TikTok political campaigning analysis, right-wing extremism data infrastructure, and ethical AI applications in public discourse monitoring.