جست‌وجوی استاد و پژوهشگر

Shuo Niuمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Social Computing
• Video-Sharing Platforms
• +۴ مورد دیگر

Dr. Shuo Niu is an Assistant Professor in Computer Science at Clark University, specializing in human-computer interaction and social computing. His research focuses on analyzing collaborative and community activities on video-sharing platforms like YouTube and TikTok, with particular interest in socio-technical infrastructure, mental health implications, and AI algorithm impacts. Ph.D. in Computer Science, Virginia Tech (2019) B.S. and M.E. in Computer Science/Digital Media, Shandong University (2012-2013) His research employs machine learning, natural language processing, and crowdsourcing to analyze vast video datasets, investigating creator-fan dynamics, misinformation patterns, and platform design ethics. Recent work includes studies on substance abuse misinformation, disability disclosure, and generative AI in content creation. Dr. Niu has published at top-tier conferences including ACM CHI, CSCW, and GROUP. Current projects examine racism/racial movements, mental health support mechanisms, and socio-technical aspects of video-sharing platforms. He received multiple grants including the NEBHE North Star Fellowship and Clark University Academic Innovation Fund. Faculty Development Award, Clark University (2025) Professor David A. Stevens Fund (2025) LEEP Student Fellows Grant (2022) Academic Innovation Fund (2022) NEBHE North Star Fellowship (2022) He teaches courses in web development, mobile software development, data science, and computing fundamentals, emphasizing hands-on learning and real-world applications. Dr. Niu previously worked at Virginia Tech's Center for Human-Computer Interaction and has advised on multiple research projects.

Qingling Duanمشاهده پروفایل

دانشیار

• Bioinformatics
• Computational Biology
• Genomics
• +۶ مورد دیگر

Qingling Duan is an Associate Professor and Queen's National Scholar in Bioinformatics at Queen's University, jointly appointed in the School of Computing and Department of Biomedical & Molecular Sciences. She leads the Computational Genomics Laboratory, focusing on genetic and epigenetic mechanisms in multifactorial diseases. PhD in Human Genetics, McGill University BSc in Biology, McGill University Her research integrates genomics, transcriptomics, and epigenomics to investigate gene-environment interactions in asthma, COPD, and drug response variability. Key areas include: Multi-Omics Data Integration Environmental Exposure Effects Pharmacogenomics Microbiota-Host Interactions Developmental Disease Trajectories Recent publications examine epigenetic aging, human milk microbiota, and prenatal exposure effects. Her work has appeared in leading journals like Nature Communications and American Journal of Respiratory and Critical Care Medicine. Queen’s National Scholar Award in Bioinformatics CIHR Grant Recipient International Collaboration with CHILD Cohort Study Dr. Duan advises numerous graduate students and postdocs in bioinformatics and biomedical research. Her lab collaborates with Kingston General Hospital, Hotel-Dieu Hospital, and the IMPACTT network.

A. Murat Erenمشاهده پروفایل

استاد

• Microbial Ecology
• Marine Microbiology
• Computational Biology
• +۵ مورد دیگر

A. Murat Eren is a Professor of Ecosystem Data Science at the Helmholtz Institute for Functional Marine Biodiversity at the University of Oldenburg. Previously, he served as Assistant Professor at the University of Chicago (2015-2022) and researcher at the Marine Biological Laboratory (2011-2015). His work bridges computational biology with microbial ecology, focusing on integrated 'omics approaches to study microbial lifestyles and responses to environmental change. Education : PhD in Biological Sciences, University of New Orleans (2011) Research interests include marine microbial ecology , computational discovery , and environmental genomics . He leads projects on GlobDB (microbial genome dereplication), anvi'o (open-source bioinformatics), and LucaProt (AI-driven viral discovery). Recent work spans metagenome assembly errors, microbiome interaction networks, and plasmid dynamics in polar regions. His lab trains postdoctoral researchers like Iva Veseli (C-CoMP fellow) and Florian Trigodet (metagenomic validation). He mentors Sarah Tucker (Simons fellow) and collaborates with institutions including Marine Biological Laboratory , MARUM , and AWI . The group emphasizes open science practices, community education, and the development of tools for studying microbial dark matter.

• Digital Twins
• Complex System Simulation
• Virtual Reality
• +۸ مورد دیگر

Saleh Abdel-Afou Alaliyat is an Associate Professor in Computer Science at the Department of ICT and Natural Sciences, Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. He leads the Sustainable Digital Transformation (SDT) R&D Lab. Research Interests: Dr. Alaliyat's work focuses on Digital twin architecture, simulation, and visualization in offshore energy and urban sustainability Artificial intelligence, particularly deep learning, swarm intelligence, and optimization algorithms Virtual worlds, 3D environments, and human-computer interaction Agent-based modeling for environmental and aquaculture systems Computer vision and information security applications Publications: His recent work (2022-2024) emphasizes predictive digital twins for wind energy, smart city applications, computer vision for litter detection, and AI-driven curriculum development. Earlier works (2013-2019) explore agent-based modeling for disease dynamics in aquaculture and swarm optimization algorithms. Teaching: He teaches courses in Game Development, Information Security, Computer Graphics, and Swarm Intelligence at both bachelor's and master's levels. Outreach: He has delivered lectures at international conferences like ECMS 2022 and IEEE ICMSAO 2019.

Adam Jenkinsمشاهده پروفایل

پژوهشگر ارشد

• Computer Science
• Security and Privacy
• Human-Computer Interaction
• +۷ مورد دیگر

Dr. Adam Jenkins is a Research and Teaching Fellow in the Department of Informatics at King’s College London, part of the Faculty of Natural, Mathematical & Engineering Sciences. His work bridges Computer Science, Human-Computer Interaction, and Security & Privacy, with a focus on usable security, mixed reality, and data-driven design. He holds an ORCID ID of 0000-0001-7865-0087. Education: Master of Informatics (MInf) from the University of Edinburgh, PhD in Usable Security and Privacy. Research Interests: Adam explores Security for IT professionals, AI and Privacy Design Methods, and Human Factors in technology. His work addresses challenges in software updates, mixed reality applications for accessibility, and multimodal data integration in design. Publications (2023–2025): His recent articles span topics like personal cyber insurance, mixed reality assistive technologies, system administrator patching behaviors, and data-enhanced design frameworks. Keywords include Mixed Reality, Usable Security, and Machine Learning. Collaborations: Active in interdisciplinary networks, his fingerprint highlights expertise in Mixed Reality, Cyberbullying, Communication Devices, and System Administration.

Florence Levéمشاهده پروفایل

استاد

• Computer Science
• Music Information Retrieval
• Computational Modeling of Musical Structure
• +۳ مورد دیگر

Florence Levé is a full Professor in Computer Science at the University of Picardy Jules Verne within the College of Sciences. She is affiliated with multiple research teams including MIS (Modeling, Information, Systems) Amiens, SDMA Team, and Algomus Team, while associated with CRIStAL (UMR 9189). Her research focuses on the intersection of computer science, music information retrieval, and computational modeling of musical structures. Key Institutions: University of Picardy Jules Verne, CRIStAL Research Themes: Musical texture analysis, rhythm processing, human-AI co-creation in music Research Interests span computational modeling of musical structures, symbolic music processing, and interdisciplinary applications in neuroscience and digital humanities. Her recent work explores rhythmic complexity across cortical and subcortical auditory areas, texture annotation in classical compositions, and algorithmic orchestration techniques. Publications Trends show sustained focus on computational approaches to musical texture and rhythm. Key areas include symbolic music analysis (Mozart, Corelli), AI-assisted composition, and mathematical modeling of auditory processing across species. Collaborative work with researchers in neuroscience, musicology, and sound engineering reveals multidisciplinary scope. Research Networks include collaborations with: Mathieu Giraud (Computational Musicology) Fabrice Wallois (Neuroscience Applications) Christophe d'Alessandro (Organ Acoustics) Laboratory Affiliations : MIS (Modeling, Information, Systems) Amiens SDMA Team Algomus Team Associated with CRIStAL (UMR 9189 CNRS)

Yuning Dingمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Educational Technology
• Automatic Essay Scoring
• +۳ مورد دیگر

Yuning Ding is a PhD Student and Research Assistant in the junior research group 'EduNLP' at the Research Center CATALPA (Center of Advanced Technology for Assisted Learning and Predictive Analytics), FernUniversität in Hagen, since January 2022. Her work focuses on Natural Language Processing applications for educational technology, specifically developing systems for automatic essay scoring and generating formative feedback for learners and summative feedback for teachers. Her educational background includes: M.Sc. in Applied Cognitive and Media Science with Specialization in Cognition & Artificial Intelligence at University of Duisburg-Essen (2017-2019) B.Sc. in Applied Cognitive and Media Science at University of Duisburg-Essen (2014-2017) B.A. in Communications at University of International Relations, Beijing (2009-2013) Ding's research centers on leveraging NLP to enhance writing education through AI-driven assessment and feedback systems. Her work bridges computational linguistics and pedagogy, with particular emphasis on argument mining, cohesion analysis, and cross-lingual content scoring. She investigates how transformer models and multi-task learning can improve the reliability and educational value of automated writing evaluation, while addressing critical issues like fairness and adversarial vulnerability in scoring systems. Her research demonstrates how NLP can provide actionable insights for both students and educators in writing development. Analysis of her publication trends reveals a strategic progression from foundational work on content scoring and error analysis toward sophisticated integrated systems. Recent work emphasizes multimodal feedback generation, argument-cohesion integration, and cross-lingual transfer, with increasing focus on real-world implementation challenges including fairness, robustness, and user experience. Her research spans multiple languages and educational contexts, reflecting a commitment to globally applicable educational technology. Within CATALPA, Ding actively collaborates across disciplines through the center's vibrant knowledge-sharing culture. She participates in project presentations and colloquia that facilitate cross-pollination of ideas between computer science, linguistics, and educational theory. Her work on the DARIUS corpus and FEAT-writing system demonstrates tangible contributions to educational resource development and interactive learning environments.

Steven Billerمشاهده پروفایل

دانشیار

• Marine Microbiology
• Systems Biology
• Genomics
• +۷ مورد دیگر

Steven Biller is an Associate Professor in the Biological Sciences department at Wellesley College. His research spans marine microbiology, systems biology, and genomics, focusing on the ecological and physiological interactions within microbial communities, particularly with the marine cyanobacterium Prochlorococcus . Teaching: Introductory Cellular and Molecular Biology (BISC 110), Genetics (BISC/BIOC 219), Genomics and Bioinformatics (BISC 333) Research Focus: Systems biology of marine microbes, extracellular vesicles, microbial interactions, and cross-scale ecological dynamics His work integrates genomics, computational biology, and oceanography to address critical questions about microbial survival strategies and ecosystem functions. He also contributes to genomic database development and public education about oceanic importance.

Toine Bogersمشاهده پروفایل

دانشیار

• Information Retrieval
• Recommender Systems
• Human-Computer Interaction
• +۵ مورد دیگر

Toine Bogers is an Associate Professor at the IT University of Copenhagen in Denmark, affiliated with the Department of Computer Science . He also holds a part-time Lecturer position at Aalborg University Copenhagen within the Faculty of Humanities 's Department of Communication and Psychology . Additionally, he serves as Chief Scientific Officer at the AI Pioneer Centre for fundamental AI research. Research Interests : Information access technologies, recommender systems, search engine behavior, human information interaction, personal information management, and algorithmic fairness in HR. Key Research Areas : Algorithmic hiring systems for fair recruitment Complex search/recommendation scenarios Personal information management on handheld devices Interactive information retrieval reproducibility Scientific Contributions : Over 134 publications since 2005, including Google Scholar works on serendipity in recommendation systems, HR information behavior, and cross-domain relevance analysis. His 2022 data storytelling experiments and 2021 CHIIR collaboration manifesto highlight his methodological rigor. Awards : 2021 Best Paper Award 2020 & 2018 Best Reviewer recognitions 2020 Outstanding PC Member honor

• Dark Matter
• Stellar Streams
• Galactic Dynamics
• +۳ مورد دیگر

Nathaniel Starkman is a Brinson Prize Fellow and Astrophysics Postdoc at MIT. He is a key maintainer for open-source projects including @astropy , @GalacticDynamics , and @cosmology-api , with over 2,500 GitHub contributions in the last year. His work focuses on dark matter detection, stellar stream dynamics, and computational astrophysics using JAX and differentiable simulations. Current affiliations: MIT, GalacticDynamics, cosmology-api Former affiliations: Astropy Project, Quax, Potamides Research interests span dark matter substructure mapping via stellar streams, Hamiltonian perturbation theory applications, and JAX-based galactic dynamics tools. He develops unit-aware numerical frameworks (unxt, coordinax) and contributes to astronomical data infrastructure standards. Scientific contributions include: Leading differentiable simulations for galactic potentials Creating data-driven stellar stream characterization methods Advancing type annotations in astropy Awards: Brinson Prize Fellowship (MIT) Contact: starkman@mit.edu | ORCiD

David Stottsمشاهده پروفایل

استاد

• Software Engineering
• Collaborative User Interfaces
• Formal Methods
• +۴ مورد دیگر

David Stotts is a Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. With a Ph.D. from the University of Virginia (1985), he has held academic positions at UNC since 1992, previously serving at the University of Maryland (1985-1991) and the University of Florida (1991-1992). His affiliations include NASA Goddard Space Flight Center and NIST. Research Interests span collaborative distributed systems, formal methods in software engineering, hypermedia, and active learning pedagogy for programming education. He pioneered the Trellis hypermedia system and the Bricks teaching platform for introductory programming, focusing on concurrent computation models and educational technology. Publications emphasize interdisciplinary applications of software engineering in bioinformatics, environmental science, and assistive technologies, with a strong focus on collaborative interfaces and formal verification. His work includes over 50 refereed publications and book chapters. Honors include the i3@UNC Fellowship for instructional innovation, Best Paper Award at XP/Agile Universe 2004, and memberships in Tau Beta Pi and Phi Beta Kappa. He secured over $4.2 million in research grants from NSF, EPA, DARPA, IBM, and other agencies. Teaching highlights include leading team-based software development courses (COMP 523) and advanced programming seminars (COMP 590). He has supervised 24 graduate students across UNC, University of Maryland, and University of Florida, covering topics like collaborative hypermedia, software process modeling, and assistive technologies.

Grzegorz Krynickiمشاهده پروفایل

پژوهشگر

• Articulatory Phonetics
• Computer Assisted Pronunciation Teaching
• Laboratory/Experimental Phonology
• +۷ مورد دیگر

Grzegorz Krynicki is a Senior Researcher at the Faculty of English , Adam Mickiewicz University, Poznań, Poland. He leads the Speech and Language Processing Laboratory , focusing on experimental phonetics, machine translation, and computer-assisted language learning. With a Ph.D. in English (2006) and MA in English (2000) from Adam Mickiewicz University, he has contributed extensively to articulatory phonetics and Polish-English corpus linguistics. Education MA in English, Poznań (2000) Ph.D. in English, Poznań (2006) His research interests bridge Articulatory Phonetics and Machine Learning , with applications in Computer Assisted Pronunciation Teaching , Automatic Speech Recognition , and Corpus Linguistics . He has developed tools like Wordbuilder for corpus-based exercises and IPA2Polglish for phonetic transcription conversion. The articles reflect his expertise in electropalatography (EPG) for L2 pronunciation teaching, phonetic error detection in Polish learners of English, and machine translation systems like POLENG. His work spans Multilingualism , Speech Technology , and Polish-English Contrastive Analysis . Scientific Awards University of Bielefeld scholarship (1999) Professional Activities include participation in the International Society of Phonetic Sciences and development of the Speech and Language Processing Laboratory . He has presented at conferences such as the International Congress of Phonetic Sciences (2019) and Societas Linguistica Europaea meetings, often collaborating with institutions like the University of Colorado and Linköping University.

• Ontologies
• Collaborative Systems
• Modal Logic
• +۳ مورد دیگر

Elisabeth Gavignet serves as an Associate Professor in Computer Science at the Institut National Supérieur du Professorat et de l'Éducation (INSPE) within Université Bourgogne. Her academic career spans multiple institutions including Le2i Dijon, IUFM de Bourgogne, and CRIN Nancy, reflecting her deep engagement with both computer science and educational technology domains. Her research centers on ontological frameworks and knowledge representation systems, with significant contributions to collaborative information systems, uncertain data modeling using modal logic, and musicological information management. Current projects include the Cocktail initiative for real-time analysis of food discourse on Twitter and the NEUMA platform for collaborative music score libraries. Her work bridges theoretical computer science with practical applications in archaeology, musicology, and educational technology. Dr. Gavignet's scholarly output demonstrates consistent focus on knowledge engineering applications across diverse domains. Her recent publications emphasize modal logic applications for uncertain data, collaborative digital libraries, and ICT integration in educational settings. This interdisciplinary approach connects computer science fundamentals with domain-specific challenges in cultural heritage and education. Administratively, she has held significant responsibilities including directing CAPET preparation programs, leading the Informatique-Économie et gestion network since 2011, and coordinating distance learning initiatives. Her laboratory affiliations include LIB (since 2018) and Le2i Dijon (2009-2018), where she contributed to multiple ANR-funded research projects.

• Gamification
• AI Training Data Annotation
• Medical Image Annotation
• +۲ مورد دیگر

Simon Krohmenn, M.Sc., is a research associate at the Chair of Information Infrastructures at Technical University of Munich. He is also a doctoral researcher in the Helmholtz Information and Data Science School for Health (HIDSS4Health), focusing on gamification and AI training data annotation, particularly in medical image annotation systems.

• Human-Computer Interaction (HCI)
• Haptics
• Wearable Technology
• +۵ مورد دیگر

Tim Moesgen is a Doctoral Researcher at Aalto University's Department of Information and Communications Engineering. As a member of the Mobile Cloud Computing research group, he focuses on human perception studies and multimodal interface development. Area of Expertise: Human-Computer Interaction, Haptics, Wearable Technology, Interaction Design Research Focus spans multiple domains: 1) Thermal Interaction through projects like ThermoTouch wearable devices and sauna thermal experiences, 2) Anticipatory Design using the Future Ripples Method for temporal interface development, and 3) Rehabilitation Technology with vibrotactile motion guidance systems. His work bridges sensory perception studies with practical applications in XR innovation (EMIL project) and sustainable design. Scientific Recognition : Luminord 2020 Honorable Mention for CONA sauna lamp design Publications Trends reveal expertise in haptic interfaces (thermal, vibrotactile), future-oriented design methodologies, and rehabilitation technology. Research combines psychophysics experiments with practical applications for both wellness and medical contexts. Collaborative Networks include partnerships across Europe through the EMIL project and multidisciplinary collaborations with researchers in health informatics, sustainable design, and futures studies.