جست‌وجوی استاد و پژوهشگر

• Psychometrics
• Network Theory
• Psychopathology
• +۲ مورد دیگر

Denny Borsboom is Professor in the Psychological Methods Group at the University of Amsterdam, where he directs the Social and Behavioural Data Science Centre. His research program develops network theories of psychopathology, novel psychometric methods, and formalized psychological theory through initiatives like the Psychosystems Project and Theory Methods Lab. Research focuses on conceptual foundations of measurement, complex systems approaches to mental disorders, and computational modeling of psychological phenomena. Recent publications advance network psychometrics, validity theory, and integration of intra/interindividual dynamics. Articles demonstrate strong methodological innovation through computational psychiatry applications, network theory development, and philosophical engagement with psychological foundations. Recurring themes include psychopathological networks, measurement realism, system transitions, and collaborative theory-building frameworks.

• Adversarial Machine Learning
• Text Processing
• Machine Learning Algorithms
• +۳ مورد دیگر

Nura Aljaafari is a researcher in the Department of Computer Science, focusing on adversarial machine learning and text processing. Her work explores the robustness of machine learning models against adversarial attacks and defenses, particularly in federated learning and natural language processing contexts. Dr. Aljaafari holds a Doctor of Philosophy (Ph.D.) in Computer Science, providing expertise in advanced computing and machine learning methodologies. Her research interests center on adversarial machine learning, text processing, and enhancing the security of machine learning algorithms. Her recent studies include analyzing token compositionality in large language models and interpreting conceptual frameworks in GPT models, highlighting her focus on model interpretability and reliability. Earlier work includes investigating adversarial attacks in federated learning systems and developing defenses for license plate recognition systems. While her profile does not explicitly list awards or grants, her publications have garnered significant attention, with citations in cybersecurity and machine learning fields. Collaborations include developing bioinformatics tools using GANs and analyzing organizational security practices in Saudi Arabian contexts.

Kristen Diliberto-Macalusoمشاهده پروفایل

استاد

• Cognitive Psychology
• False Memory
• Perceptual Pop Out
• +۶ مورد دیگر

Kristen Diliberto-Macaluso is a Professor of Psychology and Director of Undergraduate Research at Berry College, located in the Department of Psychological Science. She holds a Ph.D. from the University at Albany, SUNY (1996-1999), and has served in roles including Department Chair (2007-2013), Coordinator of the George Scholar Program, and has been a faculty member since 1999. Her research focuses on cognitive processes such as false memory, perceptual pop-out effects, and the interplay between emotion and memory. She also investigates practical applications like using mobile apps to enhance student learning and the psychological impacts of art. Recently, her work includes studies on academic burnout among students and autobiographical memory in Latino immigrants. Dr. Diliberto-Macaluso is deeply engaged in mentoring undergraduate researchers. Her articles span topics from religious schema activation to educational technology, emphasizing applied cognitive science. She actively participates in professional organizations like the Society for the Teaching of Psychology and the Psychonomic Society. Her teaching interests include cognitive psychology, research methods, and eyewitness memory. She has consistently integrated innovative pedagogical strategies into her courses, such as app-based learning tools, as highlighted in her Teaching of Psychology publication.

Masatoshi Okutomiمشاهده پروفایل

استاد

• Medical Imaging
• Computer Vision
• Deep Learning
• +۵ مورد دیگر

Professor Masatoshi Okutomi is affiliated with the Department of Systems and Control Engineering at the School of Engineering, Institute of Science Tokyo. His research focuses on advanced medical imaging techniques, particularly in endoscopy and 3D reconstruction, leveraging deep learning and neural networks. Key interests include virtual chromoendoscopy for cancer detection, image restoration, and stereo matching under challenging conditions. His work bridges computer vision and healthcare, addressing real-world applications such as MRI reconstruction and foggy stereo matching. Notable contributions include developing lightweight medical segmentation networks for edge devices and advancing neural radiance fields (NeRF) for novel view synthesis. His research spans diverse domains: from improving video quality assessment to enhancing object detection in high-dynamic-range images. Collaborative projects emphasize practical solutions for medical diagnostics and robust image processing in adverse environments. Recent articles highlight advancements in temporally-consistent video restoration, few-shot view synthesis, and degraded image classification using knowledge distillation. These innovations underscore his commitment to pushing boundaries in both theoretical computer vision and applied medical technology.

Kourosh Davoudiمشاهده پروفایل

دانشیار

• Natural Language Processing
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Kourosh Davoudi is an Associate Professor of Computer Science at Ontario Tech University's Faculty of Science. He holds a PhD in Computer Science from York University with a focus on Machine Learning and Data Mining. Prior to joining Ontario Tech in 2019, he was a postdoctoral research fellow at the University of Waterloo's Department of Management Sciences. His research interests span Natural Language Processing, Deep Learning, Reinforcement Learning, Graph Mining, and Machine Learning. He actively supervises graduate students in these areas and teaches courses such as Data Mining and Artificial Intelligence. His research emphasizes practical applications of AI techniques in areas like outbreak detection, sentiment analysis, and automated grading systems. Recent work includes innovations in neural document segmentation, vision-language models, and hybrid outbreak detection using social media data. His publications consistently address challenges in algorithm design, explainable AI, and domain-specific NLP applications. Dr. Davoudi has contributed to conferences such as COLING, EMNLP, and IEEE transactions, focusing on interdisciplinary applications of machine learning. His work bridges theoretical advancements with real-world problems in healthcare, education, and social media analysis.

Cristobal Pagan Canovasمشاهده پروفایل

استاد

• Cognitive Linguistics
• Conceptual Integration
• Multimodal Communication
• +۴ مورد دیگر

Cristobal Pagan Canovas is a Permanent Professor (tenure-track) at the Department of English Philology, University of Murcia, where he co-directs the Daedalus Lab and the Murcia Center for Cognition, Communication, and Creativity. He is also a member of the international consortium Red Hen Lab, focusing on multimodal communication research. Education includes: PhD in Ancient and Modern Greek Literature from University of Murcia BA+MA in Classics and BA+MA in English from University of Murcia MA in Classics from University College London His research explores human cognition and communication through interdisciplinary approaches combining humanities and sciences. Primary interests include: Conceptual integration networks in emotional expression Multimodal communication patterns across language, gesture, and prosody Temporal representation in creative artifacts Cognitive foundations of poetic metaphor and verbal art Cultural evolution of integrative patterns in social interactions Recent publications demonstrate consistent focus on temporal cognition, multimodal communication, and creativity across domains including poetry, music, and gesture. Research employs corpus analysis, big data approaches, and cognitive modeling to examine how humans integrate perceptions into meaningful wholes. Scientific awards and fellowships: Ramón y Cajal Grant (elite national scheme) Alexander von Humboldt Fellowship in Quantitative Linguistics EURIAS Fellowship at Netherlands Institute for Advanced Studies FBBVA Leonardo Fellowship Marie Curie Fellowship ENSAYA'10 Award for scientific essay He leads multiple research grants including ERASMUS PLUS KA220-HED (MULTIDATA) and national grants MULTIFLOW and CREATIME. Supervised trainees include postdoctoral researchers (Marie Curie, Juan de la Cierva), MA students, undergraduates, and data scientists. The Daedalus Lab develops interdisciplinary methods to study cognition and communication, while Red Hen Lab enables large-scale multimodal dataset analysis through international collaboration.

Magdalena Grabowskaمشاهده پروفایل

مربی

• Linguistics in Religious Communities
• Identity Discourse
• Religious Experience and Sexuality
• +۴ مورد دیگر

Magdalena Grabowska is a Tutor at the Institute of Applied Linguistics within the Faculty of Philology at the University of Gdańsk. She holds a doctorate and specializes in tutoring and coaching, emphasizing personalized development and trust-building with students. Her academic work bridges linguistics, religious studies, and social identity. Research Focus: Her interdisciplinary interests include: Linguistic behavior in Polish evangelical communities (e.g., Baptist and charismatic groups) Discourse at the intersection of religious identity, sexuality, and LGBT+ experiences Media analysis of human rights debates (abortion, feminism, cultural wars) Narrative methodologies in ethnolinguistics and duoethnography Publication Trends: Her recent articles (2017-2024) cluster around three themes: Religious transitions: Apostasy narratives, ritual studies, and identity shifts in evangelical communities Marginalized identities: Non-heteronormative experiences in Catholic/Protestant contexts and exclusion-inclusion dynamics Discourse analysis: Prayer pragmatics, dialogicality boundaries, and semantic valuation in religious language She predominantly uses qualitative methods like case studies, fieldwork, and narrative analysis. Advising & Service: She mentors students on communication, feminism, and sexuality topics but supervises no formal advisees. No grants, awards, or lab affiliations are documented.

Aaron Maxwellمشاهده پروفایل

دانشیار

• Geospatial Science
• Remote Sensing
• Machine Learning
• +۶ مورد دیگر

Aaron Maxwell is an Associate Professor in the Department of Geology and Geography at West Virginia University (WVU). He serves as the principal investigator of West Virginia View, a member of AmericaView, and director of the WV GIS Technical Center. His research focuses on spatial predictive modeling, geohazard mapping, machine/deep learning applications in remote sensing, and thematic map accuracy assessment. He holds degrees from Alderson Broaddus University (B.S. in Biology, Chemistry, Environmental Science) and WVU (M.S. and Ph.D. in Geology), with a GIS Professional (GISP) certification. Education: Bachelor of Science in Biology, Chemistry, and Environmental Science – Alderson Broaddus University Master of Science in Geology – West Virginia University Doctor of Philosophy in Geology – West Virginia University Research Interests: Dr. Maxwell’s work emphasizes computational methods to extract insights from geospatial data. Key areas include: Deep learning for geomorphic feature extraction (e.g., LIDAR-based semantic segmentation) Machine learning applications in forest fuel load estimation and slope failure modeling Best practices for assessing deep learning outputs in remote sensing Synthetic data generation for predictive modeling Community flood resiliency and participatory GIS Publications: His recent work highlights advancements in geospatial deep learning (e.g., the geodl R package), accuracy assessment metrics for imbalanced datasets, and modeling post-mining landscape evolution. Articles often blend theoretical frameworks with applied case studies across environmental and geotechnical domains. Grants & Funding: Supported by NSF (CAREER Award) and AmericaView, his work trains students and develops open-source geospatial tools. Current projects include synthetic forest stand modeling and flood resiliency initiatives. Labs & Teams: Leads WV View, fostering remote sensing education and data sharing. Collaborates on geospatial workforce development and open-source software initiatives (e.g., GIScience courses, ArcGIS Pro labs).

Abbas Heydarnooriمشاهده پروفایل

استادیار

• Software Engineering
• Artificial Intelligence for Software Engineering (AI4SE)
• Software Analytics
• +۵ مورد دیگر

Abbas Heydarnoori is an Assistant Professor in the Department of Computer Science at Bowling Green State University (USA) since 2022, and previously held a faculty position at Sharif University of Technology (Iran) from 2012 to 2022. He earned his Ph.D. in Computer Science from the University of Waterloo (Canada, 2009), and M.Sc. and B.Sc. in Software Engineering from Sharif University of Technology (2001 and 1999). His research focuses on AI-driven software engineering (AI4SE/SE4AI), leveraging data science and AI to address challenges like fault localization, bug prediction, and code comprehension. He analyzes software repositories (e.g., GitHub, Stack Overflow) to improve developer productivity and software quality. He has contributed to tools like CrowdSummarizer and ExceptionTracer, and his work spans topics such as microservices architecture, API usage analysis, and code summarization. Teaching includes graduate/undergraduate courses on AI for Software Engineering, Database Systems, and Software Engineering. His service roles include editorial board membership at Science of Computer Programming , and PC membership in conferences like MSR, SANER, and FSE. His research group actively publishes on automated code analysis, documentation generation, and developer productivity tools, with a focus on empirical and data-driven approaches.

Megumi Kameyamaمشاهده پروفایل

پژوهشگر

• Logical Theory of Discourse Semantics
• Computational Discourse Model
• Grammar-Pragmatics Interface
• +۳ مورد دیگر

Megumi Kameyama was a Senior Research Scientist at the Artificial Intelligence Center (AIC) of SRI International. Her research focused on discourse semantics, computational models for information extraction, and mismatch resolution in machine translation. She contributed to projects like FASTUS, MIMI, and GEMINI, addressing challenges in spoken dialogue summarization and cross-lingual translation. Key projects included the NSF-funded Mismatch Resolution in Machine Translation (1996-1999), where she co-led efforts to develop logical and statistical approaches for resolving linguistic discrepancies between languages. Her work emphasized real-time systems and robust context modeling, particularly for Japanese-English translation and dialogue analysis. Dr. Kameyama maintained active involvement in software development, including MIMI for spoken dialogue extraction and FASTUS for text analysis. Her publications explored dialogue structure, context dependency, and system robustness in natural language processing. She passed away on January 23, 1999.

Mauro Pezzèمشاهده پروفایل

استاد

• Software Engineering
• Software Testing and Analysis
• Self-Adaptive Systems
• +۵ مورد دیگر

Mauro Pezzè is a Full Professor of Software Engineering at the Università della Svizzera italiana (USI) and Università di Milano Bicocca, leading the STAR research group since 2006. He holds a laurea from the University of Pisa and a PhD from Politecnico di Milano. His research focuses on software testing, analysis, self-adaptive systems, and cloud systems. He has held editorial roles, including Editor-in-Chief of ACM Transactions on Software Engineering and Methodologies (TOSEM), and served on numerous program committees. Education: Laurea (Pisa), PhD (Politecnico di Milano). Professional roles include Dean of the Faculty of Informatics at USI (2009-2013), visiting scientist at UC Irvine and Edinburgh, and technical lead for international projects. He co-authored a seminal book on software testing (Wiley, 2007), with over 670 citations. Research Interests: Software Testing, Self-Adaptive Systems, Cloud Computing, AI in SE, Sustainable Software. Projects include work on field-based testing, failure prediction in distributed systems, and neuro-symbolic approaches for test oracles. Grants and Advising: Led STAR Lab projects in self-healing systems, GUI testing, and semantic matching. Advised numerous PhD/postdoc students (e.g., Ciniselli, Di Grazia, Qiu). Collaborations with European tech firms on R&D initiatives. Labs/Teams: STAR Group at USI/Constructor Institute, Bicocca, and Politecnico di Milano. Current members include postdocs and PhD students working on AI-driven testing and cloud reliability.

Alva L. Couchمشاهده پروفایل

دانشیار

• Network and System Management
• Geo-informatics
• Data Management
• +۹ مورد دیگر

Alva L. Couch is an Associate Professor at Tufts University's School of Engineering, Department of Computer Science, with a career spanning over 30 years. His work bridges network/system administration, autonomic computing, and hydrologic data science, focusing on scalable solutions for data management and automated system administration. Education: Ph.D. in Mathematics (1988), B.S. in Architecture (1978), and B.A. in Bassoon/Contrabassoon Performance (1978). Research Interests His research centers on: Network and System Administration: Tools like SLINK, Maelstrom, and Babble for dependency analysis, cloud migration, and policy enforcement. Geo-informatics: MEDFORD metadata language and HydroShare platform for hydrologic data curation and discovery. Autonomic Computing: Promise theory, convergent operators, and closure models for self-managing systems. Recent Work Trends His 2024-2018 publications emphasize: Cloud-based hydrologic data management (AnVILMEDFORD, HydroShare) Metadata standards for interdisciplinary research Machine learning for system administration Agent-based resource sharing models Scientific Awards Liebner Teaching Award (1996) Seymour Simches Advising Award (2017) Best Paper Awards: LISA 1996, AIMS 2008, LISA 2001 LISA 2000 Best Student Paper (with Michael Gilfix) Contributions He developed key software like Peep (network auralization) and Slink (configuration management), supported by NSF grants and industry partnerships. His work with CUAHSI's Water Data Center shapes national hydrologic data infrastructure. He also advocates for science education and privacy in computing.

Joanna Jurewiczمشاهده پروفایل

استاد

• Indian philosophy
• Vedic studies
• Cognitive linguistics
• +۱ مورد دیگر

Joanna Jurewicz serves as Professor at the University of Warsaw's Faculty of Oriental Studies within the Department of South Asian Studies. Elected to Academia Europaea in 2002 following her habilitation, she maintains active scholarly engagement in Vedic studies and cognitive linguistics. Her institutional affiliation spans decades, rooted in Warsaw's Indological tradition since her 1990 doctorate. Her research centers on cognitive-linguistic analysis of the Ṛgveda, examining metaphorical structures, conceptual formation in archaic thought, and philosophical continuities into Upaniṣadic literature. Key contributions include deconstructing Vedic concepts of self (ātmán), desire (kāma), and cosmic order through frameworks like "fire cognition" and spatial metaphors. This interdisciplinary approach bridges linguistics, philosophy, and religious studies to reveal systematic cognitive patterns in ancient Indian thought. Jurewicz's publication trajectory shows consistent focus on Ṛgvedic semantics since the 1990s, evolving toward comprehensive analyses of Indian philosophical development. Her work demonstrates methodological innovation through cognitive linguistics applied to classical texts, influencing contemporary Indological scholarship across Central and Eastern Europe. Prime Minister Award for outstanding academic achievements (2010) for 'Fire and Cognition in the Ṛgveda' Member of Academia Europaea (2002) Her editorial leadership includes co-editing significant volumes like 'Symbolism of Meadows and Pastures in Ancient Beliefs' and 'Cultural Conditions of Development in Asia and Africa.' Jurewicz actively participates in commemorative academic projects, such as the 50th Anniversary of Indological Studies at Warsaw University (2003/2004), where she contributed analyses of ritual language and hydraulic metaphors. Her scholarly network extends across European Indological conferences, evidenced by collaborations with institutions like the Polish Semiotic Society and University of Warsaw Press.

Abbas Edalatمشاهده پروفایل

استاد

• Computer Science
• Mathematics
• Exact Computation
• +۷ مورد دیگر

Abbas Edalat is a Professor of Computer Science and Mathematics at Imperial College London, and an Adjunct Professor at the Institute for Research in Fundamental Sciences, Tehran. He leads two research groups: Algorithmic Human Development and Continuous Data-Types and Exact Computation. His work spans computational mathematics, psychotherapy models, and exact real-number computation. Notably, he received the LICS 2017 Test-of-Time Award for foundational contributions to logic in computer science. Research interests include self-attachment psychotherapy, computational differential calculus, topology, and bisimulation in probabilistic systems. He has pioneered exact computation frameworks for real numbers, geometry, and dynamical systems, with applications in neuroscience and artificial intelligence. Professional activities include keynote talks at conferences like IJCNN and workshops on psychotherapy in Iran and the UK. Teaching includes advanced courses on dynamical systems, quantum computing, and computational techniques. He advises PhD students globally and chairs initiatives like the Science and Arts Foundation to expand educational access in developing nations. His interdisciplinary work bridges mathematics, computer science, and clinical psychology.

• Software Evolution
• Software Libraries
• APIs
• +۵ مورد دیگر

Thomas Degueule is a CNRS researcher in the Software Engineering group at LaBRI (Bordeaux, France). His research focuses on software evolution , modularity , and comprehension , with a particular emphasis on software libraries , APIs , software ecosystems , and domain-specific languages (DSLs) . Prior to his current role, he worked as a postdoctoral researcher at CWI (Amsterdam) and earned his PhD at IRISA (Rennes, France). Research Themes : Software evolution, API analysis, dependency management, empirical software engineering, DSL engineering Projects : ANR JCJC ALIEN (PI), H2020 CROSSMINER (WP leader), ALE (associate member), LEOC Clarity (member), ANR INS GEMOC (member), ITEA2 MERgE (member) Software Tools : Roseau, Maracas, BreakBot, Melange, Eclipse GEMOC Studio, K3, Alex, Scava His recent publications highlight trends in API breaking changes , dependency evolution , DSL interoperability , and automated software analysis (see articles list for details). He also contributes to software education through tools like MOON and Immediate Feedback for Jupyter Notebooks. Thomas has supervised PhD students including Gustave Monce (University of Bordeaux), Lina Ochoa (now assistant professor at Eindhoven University), Corentin Latappy (post-doc at University of Bordeaux), and Christophe Casseau (lecturer at University of Bordeaux). He actively participates in academic service, serving on program committees for conferences such as ICSE , ASE , ICSME , ISSTA , and SLE , and organizing workshops like SLEBoK and MLE 2021 .