جست‌وجوی استاد و پژوهشگر

Hilario Gómez Morenoمشاهده پروفایل

استاد

• Signal Processing
• Machine Learning
• Image Processing
• +۳ مورد دیگر

Hilario Gómez Moreno is a Professor at the Universidad de Alcalá, affiliated with the Department of Teoría de la Señal y Comunicaciones. He is part of the COMB research group focused on Communications, Multirate Signal Processing, and Biomedical Engineering. His academic career includes a Doctorate from Universidad de Alcalá (2012), with a thesis exploring statistical learning techniques in image processing. Research interests encompass signal processing, machine learning, image processing, biomedical engineering, computer vision, and education technology. Notable work includes applications in forensic sciences, such as facial recognition and deepfake detection, as well as contributions to ECG analysis and robotics competitions for skill development. His publications span from 2000 to 2025, reflecting long-term engagement with both technical and pedagogical innovations. His articles highlight trends in forensic technology (e.g., facial sketches and speaker recognition), biomedical applications (ECG analysis), and educational methodologies (student performance and robotics-based learning). No scientific awards are explicitly mentioned, but his extensive publication record underscores academic impact. Advising and lab involvement are centered within the COMB group, though specific grants or lab details are not detailed in the text.

• Image Processing
• Machine Learning
• Computer Vision
• +۴ مورد دیگر

Saturnino Maldonado Bascón is a full Professor at the Universidad de Alcalá, affiliated with the Signal Theory and Communications Department. His research focuses on advanced signal processing techniques, machine learning applications, and computer vision systems. He earned his doctorate from Universidad de Alcalá in 1999 with a thesis on multiresolution analysis for image compression. Key research interests include traffic sign recognition, video surveillance algorithms, 3D object recognition, and noise reduction in digital images. His work frequently employs support vector machines (SVM), spatial pyramids, and clustering methods to address challenges in robotics, autonomous systems, and sensor data analysis. Publications highlight contributions to vehicle tracking, odometry correction in differential robots, and efficient video annotation techniques. His research group (GRAM) develops multisensorial analysis solutions for intelligent infrastructure systems like the WHISNU platform. Maldonado has explored diverse applications from biomedical signal processing to traffic management systems through grants and collaborative projects. No scientific awards are explicitly mentioned, but his extensive publication record reflects sustained academic impact. He leads a research team focused on real-time systems, sensor fusion, and computer vision applications in both academic and industrial contexts.

Brian N. Baileyمشاهده پروفایل

استادیار

• Functional Structural Plant Modeling
• Crop Modeling
• Remote Sensing
• +۴ مورد دیگر

Brian N. Bailey is an Assistant Professor in the Department of Plant Sciences at the University of California, Davis. His research integrates engineering, computer science, atmospheric science, and biology to develop advanced plant simulation tools and 3D modeling techniques. Current projects include wildland fire modeling, almond orchard canopy analysis, vineyard pathogen spread simulation, and next-generation crop modeling tools funded by NSF, USDA, and industry partners. Education: Ph.D. and B.S./M.S. in Mechanical Engineering from the University of Utah (2015, 2011). His lab, the Bailey Lab, focuses on high-resolution 3D plant models, measurement techniques across scales, and software development such as the Helios simulation framework and PhoTorch package. Research emphasizes plant structure-function relationships in biophysical processes like evapotranspiration and water-use efficiency. Recent publications highlight advancements in canopy radiation modeling, leaf point cloud generation, and deep learning for soil reflectance simulation. His work bridges computational methods with agricultural applications, addressing challenges in precision agriculture and environmental sustainability.

Victor Raskinمشاهده پروفایل

استاد

• Linguistic Theory
• Semantic Theory
• Natural Language Processing
• +۵ مورد دیگر

Victor Raskin is a Distinguished Professor of English and Linguistics at Purdue University with a career spanning multiple continents and disciplines. He serves as Editor-at-Large for HUMOR: International Journal of Humor Research and is a Charter Member of Purdue's CERIAS advisory board. Education 1970: Ph.D. in Structural, Computational, and Mathematical Linguistics (Moscow State University) 1966: M.A./M.S. summa cum laude in Structural and Computational Linguistics (Moscow State University) 1964: B.A./B.S. in Structural and Computational Linguistics (Moscow State University) His research integrates linguistic theory with practical applications in natural language processing , focusing on ontological semantics and computational meaning representation . He has pioneered interdisciplinary approaches connecting humor theory with formal linguistic frameworks. Key publication trends show consistent contributions to computational semantics since the mid-1990s, with notable work on lexical knowledge acquisition , language-based security systems , and philosophical foundations of linguistics . His 2004 collaboration on ontological semantics established a comprehensive framework for NLP systems.

Michael Yoderمشاهده پروفایل

مدرس ارشد

• Undergraduate Instruction
• Computer Science Education
• Active Learning
• +۴ مورد دیگر

Dr. Michael Yoder is a Senior Lecturer at the University of Georgia's College of Engineering, specializing in undergraduate instruction. He holds a B.S. in Zoology, M.S. in Agricultural Engineering, and Ph.D. in Biological & Agricultural Engineering, all from UGA. His work emphasizes innovative teaching methods in computer science and engineering education. Bachelor's: Zoology (UGA) Master's: Agricultural Engineering (UGA) Ph.D.: Biological & Agricultural Engineering (UGA) Dr. Yoder's research focuses on active learning strategies, computer science education, and applications of big data analytics in fields like energy informatics and transportation modeling. He has contributed to ontology development for predictive systems and semantic integration in collaborative frameworks. His teaching philosophy prioritizes student engagement and passion for programming, as seen in his classroom observations. Key research trends include leveraging semantic technologies for predictive analytics, optimizing energy systems through economic modeling, and advancing cloud-based infrastructure for energy data. He has also explored traffic flow forecasting under varying environmental conditions.

• Legal Research
• Regulatory Law
• Information Theory
• +۳ مورد دیگر

Julie Graves Krishnaswami is the Head of Instruction and a Lecturer in Legal Research at Yale Law School since 2011. She previously held roles as a librarian and legal research instructor at Vermont Law School and CUNY School of Law. Prior to academia, she practiced securities and class action litigation and served as a law clerk for the Appellate Division of New Jersey. She holds a J.D. from CUNY School of Law, an M.L.I.S. from Pratt Institute, and a B.A. in History from Reed College. Her research focuses on integrating critical information theory into legal education, regulatory research methodologies, and the evolving role of law librarianship. Notable works include analyses of statutory codes and legal citation standards, such as The Shadow Code: Statutory Notes in the United States Code (2020) and Critical Information Theory: A New Foundation for Teaching Regulatory Research (2014). Her scholarship also explores access to justice initiatives and privacy issues in library contexts. Though no scientific awards are explicitly mentioned, her contributions to legal pedagogy and librarianship reflect a commitment to advancing equitable access to legal knowledge. Her professional experience bridges legal practice, academia, and information science, shaping her approach to teaching statutory and regulatory research methods.

• Capital-market effects of financial reporting
• Income taxes
• Tax footnote textual analysis
• +۳ مورد دیگر

Michele D. Meckfessel, CPA (NC), Ph.D., is an Assistant Professor in the Accounting Department of the Ed G. Smith College of Business at the University of Missouri–St. Louis (UMSL). A former U.S. Navy SH-60B helicopter pilot who attained the rank of Commander, she transitioned into academia after extensive public-accounting experience with McGladrey & Pullen, LLP and Grant Thornton, LLP in Charlotte, North Carolina. Education: Ph.D. in Business Administration, Virginia Polytechnic Institute and State University (2012) M.S. in Accountancy (Tax Concentration), Appalachian State University (2003) B.A. in Mathematics, Illinois Wesleyan University (1991) Research Interests: Dr. Meckfessel’s scholarship centres on the capital-market consequences of financial reporting choices and the economic effects of income-tax disclosure. Current projects examine the textual content of tax footnotes and the determinants and market reaction to tax-related financial statement restatements. Methodologically, she employs difference-in-differences designs, logistic regression, and mixed-methods evaluation techniques using Stata, Compustat, CRSP, and Audit Analytics data. Publication Trajectory: Her recent articles (2021–2024) cluster around three themes: (i) tax-related restatements and corporate tax-avoidance behaviour, (ii) the usefulness and consistency of non-GAAP disclosures, and (iii) innovative pedagogy including the deployment of AI chatbots in accounting assessment. Collectively, this body of work bridges financial-reporting quality, taxation, and accounting education. Scientific Awards & Scholarships: Appalachian State University Accountant of the Year (2004) Floyd A. Beams Scholarship (2008) KPMG/Phillip W. Wilson Memorial Scholarship (2003) North Carolina Association of CPAs Scholarship (2003) Pamplin School of Business Graduate Student Teaching Award (2010) Service & Grant Activity: Dr. Meckfessel is an active member of the American Taxation Association and has served on curriculum-review and faculty-hiring committees. While specific grant awards are not detailed in the provided text, her research agenda is supported by access to restricted datasets (Compustat, CRSP, Audit Analytics) and aligns with funding priorities in taxation and financial-reporting policy. Labs & Teams: Although no formal research lab is mentioned, her collaborative networks include co-authorships spanning more than 300 scholars in the 2023 Issues in Accounting Education article, indicating broad engagement with the global accounting-research community.

Llado Bardera, Xavierمشاهده پروفایل

استاد

• Medical Image Analysis
• Computer Vision
• Image Processing
• +۱۱ مورد دیگر

Xavier Lladó Bardera is a Full Professor and ICREA Academia at the University of Girona, affiliated with the Department of Computer Architecture and Technology and the Computer Vision and Robotics Institute (VICOROB). He holds a PhD in Computer Engineering from the University of Girona and completed postdoctoral research at Queen Mary, University of London. B.S. in Computer Science, University of Girona (1999) Ph.D. in Computer Engineering, University of Girona (2004) Post-doctoral Research Assistant, Queen Mary, University of London (2004–2006) His research centers on medical image analysis, particularly in brain MRI, multiple sclerosis, prostate imaging, and deep learning. He has made significant contributions to lesion segmentation, tissue classification, and image registration, with a focus on clinical translation. His work integrates advanced computer vision techniques with biomedical applications, leveraging deep learning, non-rigid modeling, and multimodal imaging. The recent publications reflect a strong trend in deep learning for medical image analysis, especially in stroke, multiple sclerosis, and neonatal imaging. Key themes include lesion segmentation, hematoma expansion prediction, brain atrophy quantification, and end-to-end deep learning frameworks. There is a clear emphasis on clinical applicability, model interpretability, and handling real-world imaging challenges. Scientific Awards and Recognition: Best Project Prize – MAIA Master (Mladen Rakic, 2019) Best Project Prize – VIBOT Master (Jose Bernal, 2017) Best Project Prize – EINF Degree Project (E. Roura, 2011) Best Project Prize – EINF Degree Project (M. Cabezas, 2009) Best Project Prize – ETIG Degree Project (C. Fontanella, 2009) Best Paper Prize – Pattern Recognition (J. Salvi et al., 2010) Dr. Lladó has supervised over 20 PhD and master’s students, many of whom have continued in academia or industry (e.g., Icometrix, Johns Hopkins). He has been involved in numerous research grants and technology transfer initiatives, particularly in CAD systems for breast imaging and MS monitoring tools. His group actively collaborates with clinical partners, ensuring translational impact. He leads the NIC group at the VICOROB Institute, focusing on neuroimage computing and deep learning applications in neurology. The team develops open-source tools and participates in international challenges (e.g., BraTS, WMH), contributing to standardized evaluation in medical image analysis.

Pascal Belouinمشاهده پروفایل

پژوهشگر

• Digital Humanities
• Knowledge Modeling
• Network Analysis
• +۶ مورد دیگر

Pascal Belouin serves as a Digital Humanities Scholar at the Max Planck Institute for the History of Science (MPIWG) in Berlin, part of the Max Planck Society. His role focuses on providing specialized technical support to historians implementing digital methodologies in their research. Belouin holds a Bachelor's degree in Software Engineering from the University of La Rochelle, a Master of Research in Human Computer Interaction from Lancaster University, and a Master of Arts in Social Sciences from the Open University (completed in 2010). His research interests span multiple domains within Digital Humanities, with particular expertise in knowledge modeling, distant reading techniques, network analysis, and data visualization. He is actively exploring innovative approaches to research data preservation through decentralized storage solutions, reflecting his background in software engineering and computer science. Belouin's recent publications demonstrate a consistent focus on research infrastructure development, particularly in the areas of data interoperability, semantic web technologies, and sustainable preservation of research data. His work shows a progression from API development for textual resources toward more comprehensive solutions for long-term data preservation using decentralized approaches. He is actively involved in multiple significant projects at the MPIWG including the Central Knowledge Graph (CKG), CORAL: Commoning Oral Histories of Knowledge, Heavens Map, VoH Image Database, Commoning Biomedicine, Measuring the Earth, and RISE and SHINE: Research Infrastructure for the Study of Eurasia. Before joining the MPIWG, Belouin had significant professional experience in the private sector and held a leadership role with the Medical Schools Council Assessment Alliance, where he spearheaded the design and implementation of the MSCAA Item Bank—a comprehensive web-based platform enhancing collaboration across the UK's medical assessment community.

Mutahira Khalidمشاهده پروفایل

پژوهشگر

• Semantic and Web Technologies
• Data Retrieval and Search Systems
• Neuro-symbolic AI
• +۲ مورد دیگر

Mutahira Khalid is a Researcher at the Knowledge Infrastructures Lab under the German National Library of Science and Technology (TIB). With a Master’s degree in Information Technology from NUST Pakistan and a Bachelor’s in Information Technology from UAF Pakistan, her work focuses on neuro-symbolic AI frameworks for enhancing scientific data usability. Education: MSc & BSc in Information Technology Research: Semantic Technologies, Knowledge Graphs, Medical Data Systems Her publications highlight the application of knowledge graphs in medical data interoperability, neuro-symbolic approaches to trustworthy medical coding, and NLP-driven comorbidity risk scoring. She actively contributes to open science through her work on explainable AI systems for clinical code prediction. Contact: mutahira.khalid@tib.eu

Gullal Cheemaمشاهده پروفایل

پژوهشگر

• Multimodal Analysis
• News Analysis
• Fake News Detection
• +۵ مورد دیگر

Gullal Cheema is a Researcher at the Visual Analytics department of Technische Informationsbibliothek (TIB), the German National Library of Science and Technology. Based in Hannover, Germany, Cheema is actively engaged in cutting-edge research at the intersection of computer vision, natural language processing, and multimedia analysis with a particular focus on news media and social platforms. Research interests primarily center around multimodal analysis, with specialization in news video processing, fake news detection, claim verification, and image-text relation understanding. Cheema's work bridges the gap between technical AI approaches and real-world media analysis challenges, particularly in the context of misinformation detection and verification. The research spans multiple modalities including text, images, and video, with applications in social media analysis, news verification, and hate speech detection. Cheema's publication record shows a consistent trajectory of impactful research in multimodal AI, with a strong emphasis on practical applications for media verification. Recent work has focused on speaker role identification in news videos, multimodal claim detection, and the analysis of image-text relations in news contexts. The research demonstrates expertise in both theoretical approaches and practical system development for complex multimodal challenges. Best Paper Award at International Conference on Multimedia Retrieval (ICMR 2024) for work on speaker roles and situation types in news videos Multiple publications at premier venues including ACM conferences, IEEE workshops, and Frontiers in Artificial Intelligence Active participation in major evaluation labs like CLEF CheckThat! and MediaEval Cheema is an active member of the Visual Analytics research group at TIB, contributing to projects that address contemporary challenges in media analysis and verification. The work has significant implications for understanding and combating misinformation in digital media landscapes.

• Cultural history of late Roman and early medieval periods
• Manuscript studies
• Latin and Greek influence on early Irish
• +۴ مورد دیگر

Pádraic Moran is a Senior Lecturer in Classics at the University of Galway, specializing in the cultural history of late Roman and early medieval periods with a focus on Latin culture's impact in Ireland. His research bridges manuscript studies with digital humanities, particularly in preserving and analyzing early Irish glosses and multilingual texts. Current affiliation: University of Galway (Classics department) Principal Investigator for Research Ireland Laureate project GLOSSAM (2022–26) Co-editor of Peritia journal from 2025 Key research areas include: Cultural transmission between Latin and Old Irish Digital edition sustainability Medieval multilingual glossaries Manuscript annotation practices Language evolution in Christian contexts His digital projects demonstrate expertise in: XML/TEI encoding Minimal computing philosophy Linked Open Data applications Manuscript metadata visualization IIIF integration Project leadership includes: Manuscripts with Irish Associations (MIrA) catalog Gloss Corpus digital infrastructure Armarium publication platform Early Irish Glossaries Database

Thomas Normanمشاهده پروفایل

استادیار

• Functional Genomics
• Computational Biology
• CRISPR Technology
• +۷ مورد دیگر

Thomas Norman is an Assistant Professor in the Computational & Systems Biology Program at Memorial Sloan Kettering Cancer Center. He earned a B.S. and M.S. in Engineering and Mathematics from Queen’s University and a Ph.D. in Systems Biology from Harvard University (2014). His postdoctoral work at UCSF involved developing Perturb-seq , a foundational single-cell CRISPR screening technique. Research Focus: Combining large-scale functional genomics with computational modeling to engineer cell states. Primary model: fibroblast biology in pathologies. Key contributions: Perturb-seq methodology, genetic interaction manifolds, and multiome CRISPR-screening frameworks. Applications: Cell therapy, disease modeling, and therapeutic normalization of pathological cell states. Recent work (2025) includes Nature Genetics and Cell Systems publications on scalable CRISPRa Perturb-seq for recapitulating in vivo fibroblast states and multiomic integration of RNA/chromatin data. His lab explores representation learning, disease-linked fibroblast heterogeneity, and predictive models of genetic interactions. Scientific Awards: Josie Robertson Investigator (2019-2024) Damon Runyon-Dale F. Frey Award (2019) Damon Runyon Fellowship (2015-2018) NIH Director's New Innovator Award (2020) Lab members include Research Fellow Rico Ardy, Graduate Students Daniel Cizin, Deirdre O'Sullivan, Olatunji Oni, and Anran Tang, with affiliations to institutions like Gerstner Sloan Kettering Graduate School of Biomedical Sciences.

• Distance Education
• Teacher Training
• Educational Technology Innovation
• +۵ مورد دیگر

Florian Meyer is a Full Professor in Educational Technology Integration at the University of Sherbrooke's Faculty of Education since 2011, specializing in digital pedagogy and teacher training. His work bridges educational research with practical implementation of technology-enhanced learning systems. Education Background: Ph.D. in Educational Sciences (2010) - University of Montreal D.E.S.S. in Audiovisual and Computer Technologies for Education (1999) - University of Poitiers Master's Equivalent in Mathematical and Computer Engineering (1998) - University of Franche-Comté His research focuses on distance education methodologies, collaborative video analysis of teaching practices, digital innovation in pedagogy, and professional development for educators. Meyer has pioneered approaches to video-based teacher training and hybrid learning environments, with particular attention to synchronous technologies like telepresence systems. His recent publications reveal a strong trend toward AI integration in education, pandemic-responsive teaching strategies, and cross-cultural digital pedagogy, particularly in African and Quebec educational contexts. Meyer's work consistently bridges theoretical frameworks with practical implementation tools for educators. Scientific Recognition: Excellence Award in Diversity and Inclusion from ARUCC Prestigious University Teaching Distinction Award from University of Sherbrooke Meyer has secured over $3.5 million in research funding from agencies including FRQSC, FRQNT, MITACS, and international partners. His collaborative projects span Canada, France, Switzerland, Morocco, Colombia, and Mexico, focusing on digital transformation in teacher education. He leads the Technopedagogical Innovation Pole (Pôle d'Innovation Technopédagogique) and co-directs the GRIIPTIC research group focused on educational technology integration.

Guoray Caiمشاهده پروفایل

دانشیار

• Geographic Information Systems
• Human-Computer Interaction
• Geocollaboration
• +۳ مورد دیگر

Guoray Cai is an Associate Professor in the College of Information Sciences and Technology at Pennsylvania State University, where he researches human-centered geospatial systems with applications in crisis management and democratic processes. Research Expertise His core work integrates: Geographic Information Systems (GIS) and spatial data infrastructure Human-Computer Interaction (HCI) for multimodal interfaces Geocollaboration frameworks for group decision-making Visual analytics in crisis response scenarios Spoken dialogue systems for geospatial databases He pioneers natural interaction techniques using large displays and conversational interfaces to enhance spatial reasoning in collaborative environments. Publication Evolution His 15-year publication trajectory (2005-2023) shows consistent innovation in human-GIS interaction, evolving from foundational crisis management geocollaboration (2005-2006) through spatial annotation for public deliberation (2007-2009) to contemporary work on point cloud semantics (2023) and topic model curation (2018). Recurring themes include situation awareness, multimodal interfaces, and democratic decision-making support, with methodological emphasis on Bayesian networks, visual analytics, and natural language processing.