جست‌وجوی استاد و پژوهشگر

Yehia Abd Alrahmanمشاهده پروفایل

مدرس ارشد

• Formal Methods
• Model Checking
• Reconfigurable Systems
• +۳ مورد دیگر

Yehia Abd Alrahman is a Senior Lecturer at the Department of Formal Methods within the University of Gothenburg. His work focuses on formal methods, model checking, and reconfigurable systems, with particular emphasis on multi-agent systems and attribute-based communication. He develops verification tools like R-CHECK and contributes to theoretical foundations for collective adaptive systems. His research integrates formal verification techniques with practical applications in distributed systems and energy grids. Key research interests include formal verification of reconfigurable systems, attribute-based communication models, and correct-by-design teamwork plans for multi-agent systems. He has published extensively on topics such as bisimulation theory, distributed coordination frameworks, and protocol analysis. His work often bridges theoretical computer science with practical implementation in domains like power grid control and system resilience. Academic contributions span programming language design for CAS, verification frameworks, and pedagogical approaches to formal methods education. Collaborations include projects on runtime verification, distributed API design, and adaptive system coordination protocols. Current research trends emphasize enhancing system correctness through automated synthesis and rigorous formal methods.

Honghan Wuمشاهده پروفایل

پژوهشگر

• Electronic Health Records
• Natural Language Processing
• Clinical Informatics
• +۵ مورد دیگر

Honghan Wu is a Researcher at the NIHR Maudsley Biomedical Research Centre (BRC) in the United Kingdom. His work focuses on advancing healthcare informatics through machine learning and natural language processing (NLP), particularly in analyzing electronic health records (EHR) and addressing challenges in clinical decision-making. He contributes to sustainable development goals related to health and well-being via research on diseases, adverse drug reactions, and mental health. Research Interests: Electronic Health Records (EHR) analysis Clinical NLP and information extraction Machine learning applications in healthcare analytics Public health and pandemic response (e.g., COVID-19 trajectories) Prognosis prediction and ensemble learning Recent Articles Highlight Key Contributions in: Predicting hospitalization outcomes using EHR data Systematic review of clinical NLP in the UK Large-scale cohort studies on pandemic impacts Improving early warning systems for critical care No scientific awards or grants are explicitly listed. He has served on peer review committees for conferences like COMPSAC and chaired events on knowledge graphs.

Hui Zhaoمشاهده پروفایل

استاد

• Healthcare Analytics
• Pharmaceutical Supply Chain
• Health Public Policy
• +۳ مورد دیگر

Professor Hui Zhao holds the rank of Professor of Supply Chain Management and serves as Co-Director for Research at the Center for Supply Chain Research within the Smeal College of Business, Pennsylvania State University. She specializes in applying analytics to healthcare systems, focusing on pharmaceutical supply chains, public policy, and innovative healthcare technologies like telehealth. Her research addresses incentive misalignment in healthcare value chains, with notable contributions to drug shortages, pricing, and technology-driven solutions. Education: PhD in Industrial Engineering, Purdue University (2003) MS in Industrial Engineering, Purdue University (2002) CERT in Applied Management Principles (Mini-MBA), Purdue University (2001) MS and BE in Mechanical & Manufacturing Engineering, Tianjin University (1997, 1994) BS in Industrial Economics and Systems Engineering, Tianjin University (1994) Research Interests: Professor Zhao’s work spans healthcare analytics, pharmaceutical supply chain optimization, health policy, and telehealth innovation. She employs machine learning and data science to address systemic challenges like drug pricing and illicit online pharmacies. Her research bridges academia and practice, informing government agencies (e.g., FDA, HHS) and industry consortia such as Xavier Health’s AI initiative in healthcare. Publications & Awards: Her work has been published in top-tier journals and recognized with awards including a Pierskalla Award finalist nod (2015), Ralph Gomory Industry Studies Award runner-up (2018), and SCOR Innovation Award (2018). Her research emphasizes practical impact, with presentations to HHS and FDA expert panels. Advising & Collaborations: Advises students on healthcare systems and policy. Collaborates with industry and government to translate research into actionable policy recommendations. Actively involved with Xavier Health’s AI in Healthcare Initiative.

Roberto Yusمشاهده پروفایل

استادیار

• Data Management
• Knowledge Representation
• Privacy
• +۷ مورد دیگر

Roberto Yus is an Assistant Professor in the Department of Computer Science and Electrical Engineering at the University of Maryland, Baltimore County (UMBC). He leads the DAta Management & Semantics (DAMS) Research Group and previously served as a Postdoctoral Researcher at the University of California, Irvine (UCI). Education: Ph.D. in Computer Science (University of Zaragoza, 2016), M.S. (2011), and B.S. (2010) in Computer Science from the same institution. Research Interests: Focuses on semantic data management in IoT environments, privacy-preserving systems, smart buildings, and water systems. His work includes developing frameworks like PRIVACYLENS, SMARTSPEC, and SEMIOTIC to bridge IoT device interactions with user requirements and privacy preferences. Publications & Projects: Over 30 peer-reviewed articles in top conferences/journals (e.g., VLDB, PerCom). Projects include TIPPERS (privacy-preserving middleware), Co-zyBench (thermal comfort benchmarking), and GenAIPABench (AI privacy assistants). Awards: Mark Weiser Best Paper Award (2022), 2nd place INCS-CoE Sandpit Challenge (2022), FPI Fellowship (2011-2015). Advising: Mentors Ph.D., MS, and undergraduate students in IoT, privacy, and data management. Grants: $40K INCS-CoE Seed Funding (2022), NSF S&CC grants, and Spanish Ministry grants totaling $31K in mobility support. Labs & Teams: Leads the DAMS Group at UMBC and collaborates with researchers at UCI, Telecom SudParis, and international institutions. Active in IEEE and ACM conferences, editorial roles for Sensors and Frontiers in Big Data .

Jean Mark Gawronمشاهده پروفایل

استاد

• Computational Linguistics
• Text Analytics
• Semantics
• +۳ مورد دیگر

Jean Mark Gawron is a professor at San Diego State University's Department of Linguistics and Asian/Middle Eastern Languages within the College of Arts and Letters. His research focuses on computational linguistics, semantics, pragmatics, and Python applications in social sciences. He teaches courses including Ling 572 (Python for Social Science), Ling 525 (Semantics), and Ling 581 (Computational Linguistics). His research interests center on computational approaches to linguistic problems, including word similarity models, lexical semantics, and syntactic structures. Publications reflect interdisciplinary work bridging theoretical linguistics with computational methods. Recent articles show consistent focus on lexical semantics and computational modeling techniques. Primary methodologies involve corpus analysis, constraint-based grammars, and algorithmic optimization for linguistic applications.

Stephen L. Crites, Jr.مشاهده پروفایل

استاد

• Social neuroscience
• Attitude formation
• Stereotype activation
• +۳ مورد دیگر

Stephen L. Crites, Jr. is Professor and Dean of the Graduate School at the University of Texas at El Paso's Department of Psychology. His research examines physiological and motivational processes influencing cognitive functions, utilizing event-related brain potentials (ERPs) to study attitude formation, stereotype activation, and judgment processes. Research investigates how brain activity reflects evaluative judgments and social categorization, including how attitudes automatically activate upon stimulus exposure and how stereotypes influence social perception. Studies employ neurophysiological measures to understand judgment formation under varying motivational states and contexts. Publications demonstrate methodological innovation in psychophysiological approaches, including ERP paradigms for detecting concealed attitudes and meta-analyses of priming effects. Recent work focuses on neural correlates of attitude-behavior consistency, stereotype incongruity processing, and food perception dynamics. Service includes NIH review panels, NSF Graduate Fellowship Program evaluation, and leadership roles in professional societies including Treasurer of the Society for the Study of Motivation.

Jose M. Vidalمشاهده پروفایل

استاد

• Multiagent Systems
• Agent-based Modeling
• Algorithmic Game Theory
• +۷ مورد دیگر

Jose M. Vidal is a Professor and Director of Undergraduate Studies in the Computer Science and Engineering department at the Molinaroli College of Engineering and Computing, University of South Carolina . He holds a Ph.D. in Computer Science and Engineering from the University of Michigan (1998), an M.S. in Computer Science from Rensselaer Polytechnic Institute (1991), and a B.S. in Computer Science and Engineering from MIT (1990). His research focuses on multiagent systems , spanning theoretical aspects like coordination mechanisms, algorithmic game theory, and distributed algorithms, as well as implementation in agent-based simulations, web services, and mobile applications. He has authored numerous publications in fields including healthcare process optimization, traffic engineering, and sociological theory construction. 2019: Ad Hoc Vehicle Platoon Formation (Traffic Engineering) 2019: Wikitheoria for Sociological Theory Construction 2018: Email Intent Classification using Deep Learning 2017: Intelligent Transportation Systems using Mobile Data 2016: Healthcare Workflow Simulation Models 2014: Behavioral Modeling from Observational Data He has received significant funding from the NSF, Darpa, and industry partners for projects like Wikitheoria (a collaborative theory-building platform), TargetShare (resource allocation), and mobile healthcare applications. His work bridges theoretical research with practical implementations in domains ranging from traffic systems to hospital operations.

Annalisa Appiceمشاهده پروفایل

استادیار

• Knowledge Discovery
• Data Mining
• Big Data Analytics
• +۷ مورد دیگر

Annalisa Appice is an Assistant Professor at the Department of Computer Science, University of Bari, Italy. She holds a Ph.D. in Computer Science from the same institution, with her thesis focusing on 'Learning Relational Model Trees'. Her international research experience includes positions at the University of Bristol (UK) and Jozef Stefan Institute (Slovenia). Her research spans: Knowledge discovery and data mining Big data analytics and stream data mining Spatio-temporal data mining and remote sensing analysis Network data analysis and process mining Artificial Intelligence applications in cybersecurity and environmental monitoring She develops innovative machine learning approaches including deep neural networks, vision transformers, and ensemble methods for applications ranging from forest health monitoring to cybersecurity threat detection. Appice has significant leadership experience in the academic community, having served as Program co-Chair for major conferences including DS 2020, ECML-PKDD 2015, and ISMIS 2017. She regularly contributes to program committees of premier conferences such as AAAI, IEEE ICDM, KDD, ICML, and IJCAI. As an editorial board member for the Journal of Intelligent Information Systems, she oversees publications in intelligent information systems. She has also organized six international workshops and guest-edited three special journal issues.

• cognitive psychology
• evolutionary psychology
• eyewitness memory
• +۲ مورد دیگر

Dr. Mitchell Longstaff is a Lecturer in the Faculty of Health at Southern Cross University with international teaching and research experience at institutions including Arizona State University and University of Greenwich. His research in cognitive psychology examines fundamental and applied cognition including working memory, eyewitness memory, motor control, and psychomotor skills. Key research areas: Dual-task performance and attentional mechanisms Evolutionary perspectives on cognitive sex differences Forensic applications including eyewitness testimony reliability Neurological influences on motor skills like handwriting and drawing His work has practical implications in education, forensics, ergonomics, and neurological assessment. He teaches Psychology Seminars, Learning and Memory, and Introduction to Psychology units, and supervises multiple Honours, Masters, and PhD students annually.

Maria J Archeمشاهده پروفایل

استاد

• Linguistics
• Syntax-Semantics Interface
• Second Language Acquisition
• +۳ مورد دیگر

Maria J. Arche is a Professor of Linguistics & Spanish at the University of Greenwich, serving as Deputy Director of the Institute of Inclusive Communities and Environments and Lead of the Centre for Research in Language and Heritage (CREL). She holds a PhD in Theoretical Linguistics & Language Acquisition from Universitat Autònoma de Barcelona with supervisory input from UCLA and UAM. Her interdisciplinary research examines the syntax-semantics interface with focus on tense, aspect, argument structure and copular verbs across Spanish grammar, acquisition, and crosslinguistic variation. Dr. Arche pioneered initiatives addressing language difficulties through the ATLAS Manifesto and chairs the EU COST Action Justice to Youth Language Needs. Her work integrates linguistic theory with applications in education and justice systems. Her publication trends demonstrate consistent focus on: L2 acquisition mechanisms, crosslinguistic comparisons of grammatical structures, theoretical analyses of aspectual phenomena, and innovative methodologies in experimental linguistics. Research emphasizes Spanish morphosyntax within broader typological contexts. Awards & Recognition: Fellow, Institute of Advanced Study (NIAS) of the Royal Netherlands Academy of Arts and Sciences (2021-2022, 2024)

Panagiotis Stamatopoulosمشاهده پروفایل

استادیار

• Artificial Intelligence
• Constraint Programming
• Logic Programming
• +۹ مورد دیگر

Panagiotis Stamatopoulos is an Assistant Professor at the Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, where he has been employed since 1993. He holds a PhD in Computer Science (1988) and a Diploma in Physics (1982) from the University of Athens. His research spans artificial intelligence, constraint programming, natural language processing, machine learning, and optimization. Specific interests include: Hybrid approaches combining constraint programming with operations research Natural language understanding for database access Parallel processing and distributed constraint solving Multi-agent systems and web intelligence applications His publications show consistent focus on constraint satisfaction algorithms, text summarization techniques, educational timetabling systems, and AI applications in diverse domains like sports analytics and robotics. Recent works demonstrate increased attention to NLP evaluation metrics and multimodal learning. He has supervised numerous diploma theses and led projects funded by the European Union (EDS, APPLAUSE, PARACHUTE, PARROT), University of Athens, and Olympic Airways. Stamatopoulos teaches undergraduate courses in Introduction to Programming and Logic Programming, plus postgraduate courses in Advanced Artificial Intelligence. He previously taught Artificial Intelligence, System Programming, and Expert Systems.

Muhammad Mahbubur Rahmanمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۲ مورد دیگر

Muhammad Mahbubur Rahman is a tenure-track Assistant Professor in Pediatrics and Biostatistics/Bioinformatics at Children's National Hospital. He holds a PhD in Computer Science from University of Maryland, Baltimore County, with postdoctoral training at NIH and Johns Hopkins University in AI/ML and NLP. His research integrates artificial intelligence, natural language processing, and machine learning to address challenges in child mental health, including ADHD prediction, misinformation detection, and clinical decision support. His work applies advanced computational techniques to healthcare data and social media analysis. Recent publications demonstrate applications in wearables for ADHD monitoring, critical event prediction in pediatrics, and AI ethics in mental health. His research leverages large-scale datasets to develop innovative tools for child well-being.

Lucas Champollionمشاهده پروفایل

دانشیار

• Formal semantics of natural language
• Algebraic semantics
• Mereology
• +۸ مورد دیگر

Lucas Champollion is an Associate Professor in the Department of Linguistics at New York University (NYU), affiliated with the College of Arts & Science. He holds a PhD in Linguistics from the University of Pennsylvania and a Master of Science in Engineering in Computer and Information Science from Penn. His postdoctoral research was conducted at the Eberhard Karls Universität Tübingen. Champollion's research focuses on formal semantics of natural language, particularly algebraic semantics and mereology, with applications to distributivity, aspect, and measurement. He also explores computational linguistics and formal language theory. His work bridges linguistics with philosophy and computer science, emphasizing compositional semantics and event semantics. Notable contributions include his book *Parts of a Whole: Distributivity as a Bridge Between Aspect and Measurement* (2017), which unifies theories of distributivity, aspect, and measurement using algebraic frameworks. His articles address topics such as negation and modality in truthmaker semantics, counterfactuals, donkey sentences, and free choice disjunction. Recent work (2024) explores negation's role in modal contexts, while earlier studies (2016) analyze distributivity in event semantics. He has also contributed to computational tools like the Penn Lambda Calculator for teaching formal semantics. Awarded a Humboldt fellowship (2023–2025) for research at the Munich Center for Mathematical Philosophy (MCMP), he is on leave from NYU until August 2025. His teaching spans undergraduate courses in linguistics and computational linguistics, as well as graduate-level seminars in semantics. He frequently teaches at summer schools, including ESSLLI and NASSLLI, focusing on algebraic semantics and mereology. Champollion's work intersects with experimental semantics and pragmatics, integrating theoretical insights with empirical methods. His research emphasizes the interplay between syntax, semantics, and computational models, reflecting a commitment to interdisciplinary collaboration.

Simon Polovinaمشاهده پروفایل

عضو هیئت علمی

• Enterprise Architecture
• Conceptual Structures
• Knowledge Architectures
• +۱۱ مورد دیگر

Dr Simon Polovina is an Associate Lecturer at Sheffield Hallam University’s School of Computing and Digital Technologies, located within the College of Business, Technology and Engineering. His work harmonizes computer productivity with human and business creativity through Enterprise Architecture, Conceptual Structures, and Knowledge Architectures. Research Focus: His research spans enterprise systems, formal ontologies, conceptual graphs, formal concept analysis, and intelligent systems. He integrates these into practical applications in cloud infrastructures, SAP systems, user experience design, and strategic data communications. Contributions: With over 110 scholarly publications, he has co-chaired major international conferences such as ICCS and MOVE, and served as editor-in-chief of the International Journal of Conceptual Structures and Smart Applications (IJCSSA). Teaching & Supervision: He teaches modules like Business Analysis for Enterprise Systems , Strategic Communications with Data Infrastructures , and Research Skills and Dissertation . He has supervised 10+ PhD students, including recent graduates like Richard Fallon and ongoing candidates like Jamie Caine. Collaborations: He collaborates with international researchers and industry partners, contributing to EU frameworks like EMPRISES and leading initiatives in enterprise ontology and strategic intelligence.

Eva Schultze-Berndtمشاهده پروفایل

استاد

• Linguistic Typology
• Language Documentation
• Australian Languages
• +۱ مورد دیگر

Prof. Eva Schultze-Berndt is Professor of Linguistics at the University of Manchester, specializing in typology and documentation of Australian languages. With 40+ months of fieldwork, her research examines Western Mirndi languages (Jaminjung, Ngaliwurru) and Northern Australian Kriol. Research Focus: Schultze-Berndt's work addresses grammatical phenomena including complex predication, verb classification, spatial language, information structure, and modality systems. Her DoBeS-funded projects document Jaminjungan languages and analyze prosodic convergence in multilingual communities. Publication Trends: Recent articles (2017-2023) explore reflexive constructions, discontinuous NPs, and information structure in Australian languages. Earlier work established foundations on secondary predication, parts of speech, and verb classification typologies. Leadership: Coordinates international documentation projects; serves on editorial boards of Sprachtypologie und Universalienforschung and Oxford Studies in Typology.