جست‌وجوی استاد و پژوهشگر

• Conversational Search Systems
• Information Retrieval
• Recommender Systems
• +۷ مورد دیگر

Mohammad Aliannejadi is an Assistant Professor at the Information Retrieval Lab (IRLab) within the Informatics Institute at the University of Amsterdam. His research focuses on conversational search systems, information retrieval, and recommender systems, with an increasing emphasis on Large Language Model applications in IR. He obtained his PhD from the Faculty of Informatics at Università della Svizzera italiana (USI) in Lugano, Switzerland, and completed his MSc at Tehran Polytechnic in Iran. His research interests span conversational search systems, clarification question generation, mobile search, cross-market recommendation, and point-of-interest recommendation. Dr. Aliannejadi has made significant contributions to understanding how users formulate information needs in conversational settings and how systems can effectively respond through clarification mechanisms. His work bridges theoretical IR concepts with practical implementations, particularly in mobile contexts where information needs often evolve rapidly. His recent publications show a clear trend toward leveraging Large Language Models for conversational search evaluation, query understanding, and performance prediction. The 15 most recent articles demonstrate his leadership in adapting traditional IR techniques to the LLM era, with particular focus on efficient and effective conversational search systems that can handle complex user information needs through natural dialogue. Dr. Aliannejadi is deeply embedded in the IR community through extensive service activities. He has served as Program Co-Chair for ICTIR 2023, Tutorial Co-chair for ECIR 2024, and Lab Co-Chair for CLEF 2023. He regularly organizes workshops such as XMRec, SCAI, and MICROS, and has been a SIGIR Student Liaison. His service extends to program committees for major conferences including SIGIR, ACL, WSDM, and ECIR, and as a reviewer for journals like TOIS and TKDE. His leadership extends to organizing significant academic events including the 15th European Summer School in Information Retrieval (ESSIR 2024) and serving on the Program Committee for the Bachelor Program in AI at UvA. His lab, IRLab (formerly ILPS), focuses on developing innovative approaches to information access through conversational interfaces and advanced retrieval techniques.

Nicolas Duchateauمشاهده پروفایل

دانشیار

• Medical Imaging
• Cardiac Function Analysis
• Statistical Atlases
• +۵ مورد دیگر

Nicolas Duchateau is an Associate Professor at Université Lyon 1 and researcher at the CREATIS lab in Lyon, France. He is also a Junior member of the prestigious Institut Universitaire de France (IUF) and serves as Associate Editor for the Neurocomputing journal. His academic career includes positions at Universitat Pompeu Fabra in Barcelona and INRIA Epione in Sophia-Antipolis, with his current role at Polytech Lyon's Biomedical Engineering department since 2016. His research focuses on characterizing diseases from medical imaging populations, with methodological development centered on statistical atlases and machine learning approaches to represent populations. On the applicative side, he concentrates on cardiac function and imaging modalities such as echocardiography and magnetic resonance. His work spans computational anatomy, pattern statistics, representation learning, manifold learning, auto-encoders, information fusion, cardiac imaging, shape and deformation analysis, risk stratification, and image synthesis. Duchateau's recent publications reveal strong trends in multimodal data fusion, particularly combining echocardiography with clinical records for patient stratification. He has made significant contributions to representation learning for cardiac population analysis, with increasing emphasis on diffusion models, uncertainty estimation, and domain adaptation techniques. His work bridges deep learning methodologies with clinical cardiology applications, focusing on interpretable AI solutions for cardiac function assessment. Junior Member of Institut Universitaire de France (2021) PhD prize for knowledge transfer from Universitat Pompeu Fabra (2014) Young Investigator Award at Euroecho conference (2010) Duchateau actively supervises numerous PhD and Master's students, including Anita Salvador, Thierry Judge, Pierre-Elliott Thiboud, and Romain Deleat-Besson. He has secured major research funding including a €75k grant from the Institut Universitaire de France (2021-2026), a €251k French ANR Young Researchers grant for the "MIC-MAC" project (2019-2024), and a €139k grant from the Fédération Française de Cardiologie for the "MI-MIX" project (2020-2023). He leads a vibrant research team at CREATIS lab focused on medical image analysis, where his group develops computational approaches to characterize cardiac diseases through population analysis. The team works at the intersection of machine learning, medical physics, and clinical cardiology, with ongoing projects spanning echocardiography analysis, MRI processing, synthetic data generation, and clinical decision support systems.

• Information Systems
• Artificial Intelligence
• Social Media
• +۵ مورد دیگر

Hamed Qahri-Saremi is an Associate Professor of Computer Information Systems at the College of Business, Colorado State University , and holds a Ph.D. in business administration with a concentration on information systems from McMaster University. His research focuses on users' interactions with online social platforms and artificial intelligence systems, particularly their influence on human behavior. Education : Ph.D. in Business Administration (Information Systems concentration) from McMaster University His work has been published in top-tier journals like Journal of Management Information Systems and Information Systems Journal , and has received media coverage from ABC News, CBS News, and Washington Post . He explores topics such as social media addiction, phishing susceptibility, and electronic word of mouth. Recent research trends include: Analysis of IT addiction coping mechanisms Meta-analytic studies on technology adoption Sociotechnical models of misinformation Behavioral impacts of algorithmic feedback (likes/dislikes) Security vulnerabilities in social media Consumer psychology in digital environments Scientific achievements: Dean's Distinguished Research Fellow He serves on editorial boards for major information systems journals and contributes to integrative research frameworks across disciplines.

Jana Fortesمشاهده پروفایل

مدرس

• Signal Processing
• Localization Technology
• Tracking Systems
• +۳ مورد دیگر

Jana Fortes is a Lecturer at the Faculty of Electrical Engineering and Informatics, Technical University of Košice, Slovakia. She teaches Applied Statistics, Cryptography, and Mathematics courses, including Numerical Mathematics and Probability and Statistics. Her research focuses on signal processing for localization and tracking systems using Ultra-Wideband (UWB) radar and sensor networks. Teaching: Applied Statistics, Cryptography, Mathematics I/II, Numerical Mathematics, Probability and Statistics, Mathematics Tutoring Research: UWB radar signal processing for person localization and tracking, software development (MATLAB, LabVIEW), cluster analysis for movement detection. Publications: Recent work includes studies on 2D/3D localization algorithms, UWB sensor system implementations, and mathematical analyses of graph crossing numbers. Contact: Email: jana.fortes@tuke.sk , Room N32 615, Phone: +421 55 602 3252.

Stefan Smolnikمشاهده پروفایل

استاد

• Knowledge Management
• Collaboration Systems
• Social Software
• +۴ مورد دیگر

Stefan Smolnik is a University Professor at the FernUniversität in Hagen since 2013, affiliated with the Faculty of Business Administration and Economics . His academic career includes roles as Track Chair at the Hawaii International Conference on System Sciences (2025), Vice Rector for Research and Digitalization (2022-2025), and Head of the Institute of Research on Information Systems at EBS Business School (2012-2013). Education: Doctorate in Knowledge Management with Topic Maps (2005, University of Paderborn); Diploma in Computer Science (1998, University of Paderborn) Stefan's research focuses on Knowledge Management , Collaboration Systems , eLearning , and the Use and Success of Information Systems . His recent work explores digital health applications, smart city technologies, and AI-driven knowledge flows, with publications analyzing telemedicine adoption, gamified mobility systems, and neurophysiological impacts on digital work. Key trends in his 15 most recent publications (2023-2025) include: Integration of AI and NeuroIS in workplace design Smart city solutions for mobility , waste management , and sustainability Knowledge sharing in healthcare teleconsultations and professional services Maturity models for small/medium smart cities Emotional dimensions in knowledge management research Scientific recognition includes the Best Paper Award at the 4th Conference on Professional Knowledge Management (2007) and frequent participation in top-tier conferences like ICIS and HICSS . His work bridges information systems , organizational behavior , and urban digitalization .

• Neurogenetics
• Cerebellar Ataxias
• Movement Disorders
• +۳ مورد دیگر

Professor Andrea H Németh is a Clinician Scientist at the University of Oxford and a Consultant in Neurogenetics at the Oxford University Hospitals NHS Trust. She holds qualifications including BSc, MB.BS, DPhil (Oxon), and FRCP, and specializes in neurogenetics research focused on understanding the genetic basis of central nervous system development and disease. Her primary research interests include cerebellar ataxias and other movement disorders such as dystonia, Parkinsonism, and chorea, as well as learning disability, epilepsy, and spasticity. Early in her career, she used positional cloning approaches to identify novel genes associated with neurological disorders, but has since transitioned to next-generation sequencing (NGS) methodologies. Her lab was the first to identify mutations causing cerebellar ataxia (SCAR14) using whole genome sequencing and developed NGS for diagnostics in ataxias and retinal degeneration, leading to its introduction into NHS laboratories. Professor Németh's recent work has identified several new cerebellar ataxia disorders associated with mutations in EBF3, GRM1, and ITPR1, as well as collaborating on research identifying PPP2R5D mutations causing intellectual disability with early-onset Parkinsonism. She is currently focusing on data from the 100,000 Genomes Project and leads multiple collaborative biomarker studies, including smartphone-based gait analysis with Oxford Brookes University, imaging biomarkers for Friedreich's ataxia with UCL, and small molecule treatments for Friedreich's ataxia with DPAG, Oxford. Her research has been funded by multiple organizations including MRC, Ataxia UK, Action Medical Research, and the European Huntington's Disease Network. She is also involved in the Huntington Disease HD Generation clinical trial and works on improving human cellular models of neurogenetic disorders using CRISPR/Cas9 gene editing in human embryonic stem cells to understand how mutations lead to abnormal brain development and function.

Ingmar Glaucheمشاهده پروفایل

استاد

• Hematopoietic Stem Cell Biology
• Clonal Competition Dynamics
• Stem Cell Aging
• +۵ مورد دیگر

Prof. Dr. Ingmar Glauche serves as Deputy Institute Director at the Institute for Medical Informatics and Biometrics within TU Dresden's Medical Faculty . He leads the Theoretical Stem Cell Biology research group and coordinates the institute's teaching activities. As an elected member of TU Dresden's extended senate, he contributes to institutional governance. Academic focus on hematopoietic stem cell biology Expertise in computational modeling Key roles in leukemia research and stem cell transplantation Research interests span clonal competition , stem cell aging , and proliferation-differentiation control , with applications in chronic/acute myeloid leukemia and inherited bone marrow failure . His work combines differential equation models and agent-based simulations to study clonal dynamics , spatial organization , and feedback mechanisms in stem cell systems. Recent publications analyze clonal dominance mechanisms (2025), pediatric CML therapy monitoring (2023), and stem cell aging (2022). Collaborations include DFG , BMBF , and Wilhelm Sander-Stiftung projects like TKI-Stop and MinimaL . Current students include Andrea Gottschalk and Thomas Zerjatke , while former advisees include Christoph Baldow and Helene Hoffmann . 2025: Blood - Myeloid bias mechanisms 2024: BMC Medical Education - Competence analysis 2024: Leukemia - Clonal hematopoiesis 2023: PLOS Digital Health - Data integration 2022: Nature Communications - Clonal reconstruction

Nicky Heksterمشاهده پروفایل

استاد

• Artificial Intelligence
• Healthcare Technology
• Data Science
• +۳ مورد دیگر

Nicky Hekster is an Executive Professor at TIAS School for Business and Society, where he coordinates and teaches in the Business Analytics and Business Intelligence programs within the MScMBA curriculum. He also leads specialized lectures in Digital Innovations in Healthcare and Clinical Business Administration. Former Technical Leader for Healthcare & Life Sciences at IBM (35 years) Pan-European role at IBM Watson Health (2016–2021) Chairman of IHE Netherlands (2010–2014) Chair of Dutch Blockchain Coalition's Health and Care working group (2021–2023) Advisory Board member at TU/e Clinical Informatics and Fruitpunch AI for Health His research focuses on leveraging data science, artificial intelligence, and blockchain to address healthcare challenges. He advocates for privacy-enhancing technologies to enable secure data exchange while improving patient outcomes through digital transformation. He holds a PhD in pure mathematics from the University of Amsterdam (1986) and emphasizes the societal impact of data technology in healthcare systems. His work spans interoperability standards (FHIR), AI applications in radiology, and sustainable healthcare innovations. As a jury member for the Prix Galien – MedTech Awards, he evaluates cutting-edge healthcare technologies. His publications highlight advancements in AI-driven diabetes management, personalized care, and blockchain-based health data security.

Thomas W. Priceمشاهده پروفایل

استادیار

• Computing Education
• Educational Data Mining
• Advanced Learning Technologies
• +۵ مورد دیگر

Thomas W. Price is an Assistant Professor in the Department of Computer Science at North Carolina State University's College of Engineering. He directs the Help through INTelligent Support (HINTS) Lab and is affiliated with NCSU's Center for Educational Informatics. His work bridges computer science, education, and artificial intelligence to create intelligent learning environments. Dr. Price earned his M.S. and Ph.D. in Computer Science from NC State University in 2015 and 2018 respectively, and was named the College of Engineering Doctoral Scholar of the Year in 2018. His research focuses on computing education with an emphasis on automatically generating programming hints and feedback using student data. He has evaluated innovative programming environments including block-based and frame-based systems, and designs intelligent support tools that integrate with these technologies. His work examines how students seek and use help in both classroom and online settings, with particular interest in open-ended programming projects, data-driven feedback systems, and understanding student programming behaviors. His recent publications reveal a strong trend toward integrating AI and educational data mining techniques to support programming education. His work spans from fundamental research on student help-seeking behaviors to practical tools that provide immediate feedback, detect student struggles, and offer personalized support. A significant portion of his recent work addresses emerging challenges like student use of generative AI tools and detecting AI-generated code submissions. College of Engineering Doctoral Scholar of the Year (2018) Exemplary Paper Award from International Conference on Educational Data Mining Exemplary Paper Award from ACM Technical Symposium on Computer Science Education Recognition by STARS Computing Corps for leadership in computing outreach Dr. Price mentors several Ph.D. students including James Skripchuk, John Thomas Bacher, and Keith Tran. He has secured over $4 million in research funding from the National Science Foundation for projects including infrastructure for sustainable innovation in computer science education, data-driven technologies for STEM instruction, and intelligent support for creative programming projects. His research has practical applications in classroom settings and aims to create scalable solutions that don't place additional burden on instructors. As director of the HINTS Lab, Dr. Price leads a team investigating how to re-imagine educational programming environments as adaptive, data-driven systems. The lab focuses on supporting students working in creative, open-ended contexts through automated tools for planning, hint generation, and progress monitoring. Their research emphasizes practical methods that can scale to new classrooms and contexts while providing personalized support tailored to individual student needs.

• Big Data
• Artificial Intelligence
• Digital Law
• +۵ مورد دیگر

Eleonora Igorevna Leskina is an Associate Professor and Leading Researcher at the Faculty of Law, Department of Digital and Biolaw at the National Research University Higher School of Economics (HSE) in Moscow, where she has been employed since 2024. Previously, she served as an Associate Professor at Saratov State Law Academy in the Department of Information Law and Digital Technologies (2020-2024) and the Department of Labor Law (2017-2020). She holds a Candidate of Law degree from Saratov State Law Academy (2012) with a dissertation on "Axiological aspects in civil procedural law" and a Jurisprudence degree from Saratov State Academy of Law (2009). Dr. Leskina's research focuses on the intersection of law and emerging technologies, with particular expertise in Big Data regulation, artificial intelligence legal frameworks, personal data protection, blockchain applications, and digital labor relations. Her work addresses critical challenges in data governance, including synthetic data usage, sustainable data turnover, and the legal implications of metaverse environments. She has made significant contributions to understanding the legal regimes of data in various contexts, from healthcare to environmental protection. Her scholarly output demonstrates a consistent focus on contemporary digital law challenges, with numerous publications in leading Russian legal journals and edited volumes. Recent work examines the legal support for synthetic data in AI development, characteristics of Big Data legal regimes, and sustainable data turnover frameworks. Her research shows a clear trajectory toward addressing the most pressing regulatory questions emerging from technological advancement, particularly in the Russian legal context. Gratitude from the Ministry of Justice of the Russian Federation (2023) for effective assistance in solving tasks assigned to the Ministry of Justice, contribution to legal science and education, and training of highly qualified legal personnel Dr. Leskina actively participates in national and international academic discourse, regularly presenting at major conferences including the International Scientific and Practical Conference "Legal Regulation in the Era of Artificial Intelligence" in Samarkand (2025), where she presented on synthetic data for AI development. She has also participated in the Moscow Innovative Legal Forum, conferences at Lomonosov Moscow State University, and the State Duma roundtable on court fees. Her work bridges academic research with practical policy development in the rapidly evolving field of digital law.

Ben Panizzaمشاهده پروفایل

استاد

• Head and Neck Cancer
• Skull Base Surgery
• Cutaneous Malignancies
• +۵ مورد دیگر

Professor Ben Panizza is a world-leading academic and clinical expert in head and neck oncology , serving as Chairman of Otolaryngology - Head and Neck Surgery for Metro South and Director of the Queensland Head and Neck Cancer Centre. He is affiliated with the Faculty of Medicine at the University of Queensland and has pioneered innovative approaches for skull base malignancies and perineural spread of keratinocyte cancers. Specializes in temporal bone oncology and cutaneous SCC Active in clinical trials from proof-of-concept to phase III Collaborates with industry leaders (Merck, Sanofi, QBiotics, Decibel Therapeutics) His research spans proteomics , HPV-associated cancers , perineural invasion mechanisms , and skull base surgical techniques . Recent work focuses on AI-generated medical information quality , personalized treatment models , and novel drug delivery systems . He has supervised 28 higher degree research students and established a clinical trials unit at Princess Alexandra Hospital. Key article trends include HPV-driven oropharyngeal cancer (proteomic signatures, immunotherapy combinations), temporal bone SCC management , and ototoxicity prevention during chemotherapy. His work frequently addresses anatomical complexity and translational research between clinical practice and basic science.

• Atmospheric Informatics
• Ozone Depletion
• Climate Change
• +۱۰ مورد دیگر

Professor Neil Harris is a leading expert in atmospheric informatics and environmental science at the Cranfield Environment Centre , Cranfield University, where he has served as Chair in Atmospheric Informatics since April 2016. His work bridges atmospheric research with policy, focusing on ozone depletion, climate modeling, and environmental monitoring. Education: BA in Chemistry (Oxford University), PhD (University of California, Irvine). Research Leadership: Co-chair of the Stratosphere-troposphere Processes and their Role in Climate (WCRP) from 2014–2022; currently a member of the WCRP Safe Landing Lighthouse. Research Interests center on atmospheric chemistry, climate change, and environmental policy. Key projects include: Quantifying UK methane emissions using localized measurements. Measuring terrestrial isoprene emissions in Wytham Woods and Southeast Asia. Studying oceanic dimethylsulfide emissions in the Arctic and Antarctic. Developing autonomous instruments for reactive compound monitoring. Investigating aviation's non-CO2 climate impacts (contrails, NOx emissions). Article Trends reflect his focus on atmospheric data analysis, climate modeling, and environmental informatics, with significant contributions to understanding ozone variability, halocarbon transport, and biogenic VOC emissions. Scientific Awards include: NERC 50th anniversary International Impact Award. NERC 50th anniversary Overall Impact Award (Montreal Protocol contributions). Collaborations span NERC, DEFRA, the Royal Society, the European Union, and Newton Fund. He maintains a personal blog on climate and science issues.

• Human-Computer Interaction
• Artificial Intelligence
• Collaborative Workspaces
• +۳ مورد دیگر

Thomas Neumayr is a researcher at Johannes Kepler University Linz's Research Center Hagenberg, specializing in Business Informatics and active in Human-Computer Interaction, Artificial Intelligence, and Smart Production. He contributes to projects like HYCOS and COIN, focusing on hybrid collaboration and AI-enhanced analysis. PhD in Business Informatics (2023, Johannes Kepler University Linz) His research explores Human-Computer Interaction , Collaborative Spaces , AI Creativity , and Smart Collaboration . Recent publications analyze real-time AI adaptability, human-AI autonomy, and personalized interaction frameworks. Scientific recognition includes Best Paper Awards at ACM CSCW 2018 and HUCAPP 2018, plus the Microsoft Productivity Research Grant .

• Elderly Health
• Well-being in Long-Term Health Problems
• Digital Health Interventions
• +۳ مورد دیگر

Cecilia Åberg is a Senior Lecturer in Nursing at the School of Health Sciences, University of Skövde. She serves as program coordinator for the Nursing Program and is actively involved in teaching at both basic and advanced levels. Her research focuses on elderly health and well-being, particularly within the DHEAR research environment and the "Välbefinnande vid långvariga hälsoproblem" research group. Research Interests: Åberg specializes in person-centered care for the elderly, digital health interventions to combat existential loneliness, and reflective dialogue techniques to enhance meaning-making in long-term health problems. Her work integrates technology like the egenKRAFT app to support self-reflection and existential conversations. Recent Article Trends: Her 2024 publications emphasize digital tools for elderly engagement, reducing involuntary loneliness, and technology-assisted care delivery. Earlier works (2022–2015) explore qualitative experiences of digital interventions, existential dialogues, and clinical education methods. Projects: Åberg leads the ongoing DigiKRAFT project (2023–2028), which promotes healthy aging through structured existential conversations. Her doctoral research (2022) focused on reflective STRENGTH-giving dialogues for elderly with long-term health issues.

An Jacobsمشاهده پروفایل

استاد

• Human-Computer Interaction
• Human-Robot Collaboration
• Participatory Design
• +۱۳ مورد دیگر

An Jacobs is a prominent Professor at the Vrije Universiteit Brussel (VUB) in the Faculty of Social Sciences, specifically within the Department of Sociology and Communication Sciences. With a Doctor of Political and Social Sciences in Sociology, Jacobs has established herself as a leading researcher at the intersection of technology, healthcare, and social sciences. Her work spans multiple disciplines with significant contributions to human-robot collaboration, digital health, and the sociology of technology. Her research interests focus on Human-Computer Interaction , Human-Robot Collaboration , Participatory Design , and Digital Health Inclusion , particularly for older adults. Jacobs explores how technology can be designed with and for users, emphasizing the importance of understanding user experiences, especially in healthcare contexts. Her work on multimorbidity self-management platforms demonstrates her commitment to creating practical solutions that address real-world challenges in healthcare systems. She has pioneered approaches to studying technology acceptance among older adults and has made significant contributions to understanding digital bother and burden in aging populations. Analysis of Jacobs' recent publications reveals a strong trend toward human-centered AI applications in healthcare, with particular emphasis on explainable AI systems, breast cancer screening innovations, and digital self-management tools for chronic conditions. Her work consistently bridges technical development with social implications, ensuring that technological solutions are not only effective but also ethically sound and socially appropriate. The interdisciplinary nature of her research is evident in publications spanning biomedical engineering, oncology, endocrinology, and social robotics. Finalist science communication award 2019 from the Royal Flemish Academy of Belgium for Science and the Arts Jaarprijs Wetenschapscommunicatie 2019 Silver ITEA Achievement Award 2012 Sustainability Leadership Recognition in Robotics 2024 As a principal investigator on numerous research projects including Brubotics, COMPASs 2.0, and DIGIT-ABLE, Jacobs has secured substantial funding for interdisciplinary research that combines social sciences with technological innovation. Her approach emphasizes co-creation with end-users, particularly evident in her work on digital health solutions for older adults with multimorbidity. Jacobs leads the Digital Ageing Consortium, which has produced significant datasets on older adults' technology experiences in Flanders. Her laboratory work spans multiple domains, from robotics research at Audi Vorst (where humans and robots work side-by-side) to in vitro testing of nano-aerosol exposures. Jacobs collaborates extensively across disciplines, working with medical researchers, engineers, and social scientists to address complex challenges in technology adoption and healthcare innovation.