جست‌وجوی استاد و پژوهشگر

Aristea Koukiadakiمشاهده پروفایل

استاد

• Labour Law
• Industrial Relations
• EU Social Policy
• +۶ مورد دیگر

Professor Aristea Koukiadaki serves as Professor of Labour Law and Industrial Relations at the University of Manchester's School of Law, where she joined in September 2014. She maintains significant external affiliations as Research Associate at the University of Cambridge's Centre for Business Research, the London Centre for Corporate Governance and Ethics (Birkbeck College), and the New Zealand Work and Labour Market Institute. Her professional standing includes membership in the Transnational Trade Union Rights Experts' Group of the European Trade Union Institute and the executive committee of the Institute of Employment Rights. Her research expertise spans empirical socio-legal analysis with specialized focus on labour law systems, industrial relations frameworks, and EU social policy development. Key methodological approaches include social systems theory and the capability approach applied to supranational regulation. Current investigations examine the evolution of remedial rules across national labour law systems through the ERC-funded CURE project, while recent work has addressed public procurement's role in promoting decent work and the enforcement challenges of EU labour law. Analysis of her publication trajectory reveals consistent engagement with critical labour law challenges including collective bargaining adaptation during economic crises, judicial impacts on industrial action, and regulatory responses to precarious work. Her scholarship demonstrates strong interdisciplinary connections between legal doctrine, industrial relations practice, and social policy implementation across European contexts. ERC Consolidator Grant (2024-2029) for Classifying and Understanding Remedies in Comparative Labour Law (CURE) Leverhulme Trust Research Fellowship European Commission and European Foundation funding for multiple comparative projects Global Players' Union (FifPro) research collaboration Professor Koukiadaki has secured substantial research funding from the Economic and Social Research Council, European Commission, European Foundation for the Improvement of Living and Working Conditions, and International Labour Organisation. Her policy impact extends through expert consultancy for the European Parliament, European Trade Union Confederation, and Council of Europe committees. Current leadership of the Work and Equalities Institute research beacon demonstrates her institutional commitment to advancing labour market equality research.

Natasha Abnerمشاهده پروفایل

دانشیار

• Sign Language
• Linguistics
• Semantics
• +۷ مورد دیگر

Natasha Abner is an Associate Professor and Director of Undergraduate Studies in the Department of Linguistics at the University of Michigan. Her research focuses on the structure of sign languages, modality effects on language properties, and the emergence of language in communities and individuals. She leads an NSF-funded project investigating sign language and gesture across deaf signers, hearing non-signers, and learners of ASL. Her work on sign language histories and relationships has appeared in Science and popular media. Dr. Abner directs the Sign Language & Multi-Modal Communication Lab and organizes the Language Across Modalities discussion group. Her research interests include psycholinguistics, morphosyntax, and the syntax-semantics interface, with fieldwork on Nicaraguan Sign Language and homesign systems. Grants and funding include National Science Foundation support for studies on sign language structure and gesture. Her lab explores how language emerges in diverse modalities, combining experimental and computational methods. She has published widely on sign language syntax, gesture analysis, and the theoretical implications of signed systems for linguistic theory. Current projects investigate the cognitive and social factors shaping grammatical development in emerging sign languages.

Cherry Meyerمشاهده پروفایل

استادیار

• Morphology
• Semantics
• Indigenous Languages
• +۳ مورد دیگر

Cherry Meyer is an Assistant Professor holding a joint appointment in the Departments of Linguistics and American Culture at the University of Michigan. She is part of the College of Literature, Science, and the Arts (LSA) and a Core Faculty member of the Program in Native American Studies (NAS). Meyer is also a member of the Sault Ste. Marie Tribe of Chippewa Indians. Her research focuses on morphology, semantics, and the structure of Indigenous languages, particularly Ojibwe. She earned her Ph.D. from the University of Chicago (2020) and a B.A. from Wayne State University (2012). Her research interests include classifier systems, animacy hierarchies, and syntactic structures in Indigenous languages. Recent work explores noun categorization, numeral classifiers, and discontinuous constituents in Ojibwe. Her studies highlight the intersection of linguistic theory and Indigenous language documentation. Meyer’s publications analyze Ojibwe’s morphological and syntactic features, emphasizing the language’s unique typological characteristics. She maintains affiliations with tribal communities and contributes to Native American Studies through interdisciplinary collaboration.

Seth Cableمشاهده پروفایل

استاد

• Semantics
• Syntax
• Fieldwork
• +۵ مورد دیگر

Seth Cable is a Professor of Linguistics at the University of Massachusetts Amherst, affiliated with the Department of Linguistics within the College of Humanities & Fine Arts. He holds a PhD from MIT (2007) and an MS in Formal Logic from the University of Amsterdam (2002). Prior to UMass, he was a Killam Postdoctoral Fellow at the University of British Columbia. Cable’s research focuses on Semantics, Syntax, and fieldwork in Na-Dene languages, particularly Tlingit. His work explores topics like modality, distributivity, aspect, and grammatical structure in Tlingit and other languages. He serves as an associate editor for the International Journal of American Linguistics and Journal of Semantics , and contributes to editorial boards of Linguistic Inquiry and Semantics and Pragmatics . His research highlights include groundbreaking studies on Tlingit’s verbal morphology, tense systems, and the semantics of habituality. Publications span major journals like Natural Language and Linguistic Theory and Language , alongside monographs such as The Grammar of Q (2010). Awards include the 2012 Linguistic Society of America Early Career Award. Cable teaches advanced linguistics courses including Formal Semantics , Graduate Field Methods , and Semantics of Tense and Aspect . His fieldwork emphasizes documentation and theoretical analysis of under-studied languages. Recent work examines stative marking in Tlingit and habituality in cross-linguistic frameworks.

Michael Franjiehمشاهده پروفایل

پژوهشگر ارشد

• Nominal Categorisation
• Morphology
• Grammaticalisation
• +۳ مورد دیگر

Dr. Michael Franjieh is a Research Fellow at the Surrey Morphology Group and a Sustainability Fellow at the Institute for Sustainability, University of Surrey. He holds a PhD from SOAS, University of London, and specializes in the documentation and description of Oceanic languages, particularly those of Vanuatu. His research focuses on nominal categorization, morphology, and grammaticalization, with an interdisciplinary approach investigating the emergence of grammatical gender from classifiers in Oceanic languages. Current projects include the ESRC-funded 'Optimal Categorisation' project and the 'Sustainable Endangered Language Maintenance in the South Pacific.' His educational background includes a BA (Hons), MA, and PhD from SOAS, University of London, with expertise in psycholinguistics and language policy. His work bridges theoretical linguistics with practical applications, such as vernacular language teaching and literacy development in Vanuatu communities. Collaborations with Prof. Greville Corbett and Dr. Alexandra Grandison further emphasize cognitive and diachronic perspectives in language structure. Publications highlight classifier systems, possessive constructions, and language documentation, often involving community engagement. His research trends emphasize interdisciplinary methods, combining experimental psychology with traditional linguistic analysis to explore nominal classification origins. Projects like the Fanbyak DoReCo dataset and free-listing techniques reflect a strong commitment to semantic fieldwork and endangered language preservation. No scientific awards are explicitly mentioned. He contributes to academic teams and projects without listed advisees, focusing on collaborative research and institutional sustainability initiatives. His affiliation with the Surrey Morphology Group and Institute for Sustainability underscores interdisciplinary work at the intersection of language structure, culture, and environmental stewardship.

Masha Kyusevaمشاهده پروفایل

پژوهشگر ارشد

• linguistics
• morphology
• lexical typology
• +۷ مورد دیگر

Dr Masha Kyuseva is a Research Fellow at the University of Surrey within the Surrey Morphology Group , working on the Leverhulme Trust-funded project Declining Case: Inflectional Loss in Progress (2021-2024). Her research bridges spoken and sign languages, with a focus on typological analysis. Education PhD in Linguistics (2020) - University of Melbourne & University of Birmingham MA in Computational Linguistics (2014) - Higher School of Economics, Moscow BA in Linguistics (2012) - Moscow State University Research Interests center on: Morphological typology (case systems, classifiers, locative affixes) Lexical typology across physical qualities, body parts, and motion events Sign language structure (russian sign language morphology, size/shape specifiers) Computational applications in distributional semantics and corpus studies Linguistic fieldwork on circassian languages Publication Trends span multiple modalities: 2025 work on slavic case loss, 2022 studies of rsl physical qualities, 2020 morphological analysis of sign language classifiers, and earlier computational linguistics contributions.

• Machine Learning
• Computer Vision
• Multimodal GenAI
• +۳ مورد دیگر

Xiatian Zhu is a Senior Lecturer at the University of Surrey's Faculty of Engineering and Physical Sciences, affiliated with the Surrey Institute for People-Centred AI and the Centre for Vision, Speech and Signal Processing (CVSSP). He holds a PhD from London and is a Fellow of the Higher Education Academy (FHEA). His research focuses on scalable machine learning, including self-supervised learning, multimodal GenAI, and computer vision applications for autonomous systems. Dr. Zhu's research interests span machine learning, computer vision, and multimodal generative AI, with emphasis on autonomous driving, 3D object detection, and domain adaptation. His work integrates vision-language models for open-set recognition and leverages novel neural architectures for real-time applications. His publications demonstrate a strong focus on autonomous driving perception, 3D generative modeling, and domain-agnostic AI. Key trends include multi-sensor fusion, self-supervised representation learning, and computationally efficient transformers. Recent works also explore audio-visual synthesis and adversarial robustness. Awards: 2016 Sullivan Doctoral Thesis Prize (Best UK Computer Vision Doctoral Thesis) He leads the X-Up Lab and collaborates extensively on grants related to AI safety, efficient 3D generation, and multimodal systems. His team focuses on real-world applications in intelligent transportation and human-centred AI.

Alexandra Grandisonمشاهده پروفایل

مدرس ارشد

• Cognitive Psychology
• Developmental Psychology
• Linguistics
• +۴ مورد دیگر

Dr. Alexandra Grandison is the Associate Head of Education for the School of Psychology and Director of the Surrey Baby Lab at the University of Surrey. As a Senior Lecturer in Cognitive and Developmental Psychology, her work explores how language shapes cognition through cross-cultural studies across lifespans. She holds a PhD and is a Senior Fellow of the Higher Education Academy. Her research employs methods like eye-tracking, ERP, and fNIRS, with interdisciplinary impact spanning linguistics, anthropology, and education. Education: PhD in Psychology Her research focuses on linguistic categorization’s impact on perception, particularly in infants, children, and adults globally. Key areas include language preservation in the South Pacific and the cognitive mechanisms behind nominal classification systems. She collaborates extensively with linguists like George Corbett and Marie Franjieh. Publications reflect her expertise in color perception, pronoun usage, and endangered language revitalization. Awards include the Senior Fellowship of the HEA. Teaching responsibilities include module leadership for 'Thought and Language' and 'Thinking Psychologically', alongside supervising undergraduate and postgraduate dissertations. Lab activities at the Surrey Baby Lab focus on developmental cognitive research using innovative methodologies.

• Language Documentation
• Language Revitalization
• Indigenous Languages of the Americas
• +۳ مورد دیگر

Jorge Emilio Rosés Labrada is an Associate Professor of Indigenous Languages Sustainability and Linguistics at the University of Alberta's Department of Linguistics. He holds tenure and has been affiliated with institutions like the University of British Columbia and the Museu Paraense Emílio Goeldi. His research focuses on language documentation, revitalization, and historical-comparative linguistics of Indigenous languages in the Americas, particularly in the Northwest Amazon and Pacific Northwest Coast regions. PhD in French Studies (Linguistics) from The University of Western Ontario and Université Lumière-Lyon 2 (2015) MA in French Studies (Linguistics) from The University of Western Ontario (2009) BA in English Language with French from Universidad de Holguín (2007) His work emphasizes morphosyntax, endangered language preservation, and collaborative fieldwork. Notable awards include the Mary R. Haas Award (2015), Banting Postdoctoral Fellowship (2015–2017), and Killam Honorary Fellowship (2015–2017). His research bridges theoretical linguistics with applied efforts in language revitalization, often involving Indigenous communities in Venezuela, Colombia, and Brazil. Recent publications highlight studies on nasalized consonants, possessive systems in Piaroa, and archiving methodologies. He collaborates with programs like UBC’s First Nations and Endangered Languages Program and contributes to interdisciplinary initiatives such as the UBC Language Sciences Initiative.

• Historical Data Science
• Conflict Studies
• Climate Impact on Warfare
• +۴ مورد دیگر

Dr. Peter Brecke is an Associate Professor in the Sam Nunn School of International Affairs at Georgia Institute of Technology and has served as Assistant Dean for Information Technology in Ivan Allen College of Liberal Arts since 2008. His research focuses on historical data science, conflict analysis, and social global modeling. He is renowned for developing conflict datasets and exploring climate-war relationships in European history. His work bridges computer simulation, interdisciplinary collaboration, and foundational theories in international relations. Research Interests: Historical Data Science: Leveraging large datasets to uncover patterns in long-term social processes. Social Global Modeling: Using computational tools to simulate global political and economic dynamics. Climate Impact on Warfare: Analyzing correlations between environmental changes and historical conflicts. Conflict Taxonomy: Classifying violence through systematic frameworks. Key Contributions: Developed the Conflict Catalogue, a comprehensive dataset of violent conflicts since 1400 AD. Explored the role of geographic and climatic factors in mediating conflict dynamics. Authored seminal works on reconciliation processes in conflict resolution. Awards: Ivan Allen Founder’s Day Awards (2008), recognizing his contributions to liberal arts innovation. Professional Roles: Member of Center for International Strategy, Technology, and Policy (CISTP). Prior experience includes roles at the United Nations, BDM International, and the Science Center Berlin.

Alexandra M. Carvalhoمشاهده پروفایل

استادیار

• Machine Learning
• Bioinformatics
• Bayesian Networks
• +۳ مورد دیگر

Alexandra M. Carvalho is an Assistant Professor at the Department of Electrical and Computer Engineering, Instituto Superior Técnico (IST), Universidade de Lisboa. She is also a researcher at the Pattern and Image Analysis Group (PIA) within the Instituto de Telecomunicações (IT). Her academic journey includes a five-year degree in Applied Mathematics from IST (1998), a Master's in Computer Science (2004), and a PhD in Computer Science (2011), both from IST. Her research focuses on machine learning, bioinformatics, Bayesian networks, and medical informatics, with applications in healthcare, genomics, and longitudinal data analysis. Education: Bachelor’s in Applied Mathematics, IST, 1998 Master’s in Computer Science, IST, 2004 PhD in Computer Science, IST, 2011 Research interests emphasize structured motif discovery, probabilistic graphical models, survival analysis, and time-series data mining. Key contributions include algorithms for motif extraction in DNA sequences, dynamic Bayesian networks for disease progression modeling, and tools like GRISOTTO and RISO for bioinformatics. She has been awarded the Sartorius Innovation Award and recognition from BioMed Central for impactful publications. Her work spans interdisciplinary collaborations, including projects on cancer systems biology, pharmacokinetic modeling, and clinical decision support. She advises numerous MSc students and has secured grants from FCT and EU initiatives. Notable software contributions include AliClu for clinical data clustering and METEOR for outlier detection in time series. Labs/Teams: Active in the PIA Group and KDBio Group (INESC-ID), focusing on computational methods for biomedical data analysis.

• Earth Observation
• Machine Learning
• Neural Networks
• +۷ مورد دیگر

Stephen Petrie is an Earth Observation Research Fellow at Swinburne University of Technology's Space Technology and Industry Institute, leading the Remote Sensing Program's Earth Observation stream. He holds a PhD in infectious disease modelling from the University of Melbourne, with prior degrees in theoretical cosmology (MPhil) and a BSc (Hons) in physics. His research spans interdisciplinary fields including satellite Earth Observation, machine learning, neural networks, and mathematical biology. He has extensive experience in high performance computing and cloud infrastructure (AWS, Nectar). His work integrates artificial intelligence with environmental and biomedical applications, such as developing novel text-image hybrid classifiers for entity disambiguation and advancing assistive vision technologies using self-attention networks. Current projects include carbon accounting via satellite fusion systems and methane plume detection using neural networks. Petrie has secured multiple grants totaling over AUD 10M, including ARC-funded research on automated horizon scanning and industry collaborations for water leak detection. Key Projects: Satellite hardware optimization frameworks, AI-driven agricultural carbon monitoring Teaching: Supervised 4 HDR students in machine learning, remote sensing, and interdisciplinary research team dynamics Labs/Teams: Remote Sensing Program leader within Swinburne's Space Institute

Zahid Azlanمشاهده پروفایل

استادیار

• Controlled Environment Agriculture
• Precision Agriculture Technologies
• Agricultural Robotics
• +۵ مورد دیگر

Zahid Azlan is an Assistant Professor of Controlled-Environment Agriculture Engineering at Texas A&M University, affiliated with the Department of Biological and Agricultural Engineering and the College of Agriculture and Life Sciences. He leads a research lab focused on engineering solutions for precision agriculture, including edge-AI systems, robotics, and automation in controlled environment agriculture (CEA). His work bridges agricultural engineering with advanced technologies to enhance resource efficiency and crop productivity. Education: B.S. in Agricultural Engineering, University of Agriculture Faisalabad (2013) M.S. in Agricultural Engineering, University of Agriculture Faisalabad (2015) Ph.D. in Agricultural and Biological Engineering, Pennsylvania State University (2021) Research Interests: Zahid’s research emphasizes sustainable technologies for CEA facilities, including robotic harvesting, plant wearable sensors, digital twin frameworks, and smart irrigation systems. His work addresses challenges in precision agriculture, such as optimizing resource allocation for hydroponic crops and improving disease detection through AI and computer vision. Publications: His recent work focuses on AI-driven solutions for crop monitoring, robotic end-effector design for lettuce harvesting, and thermal environment controls in vertical farming. These studies highlight trends toward integrating edge computing and automation into agricultural practices. Awards: Rain Bird Engineering Concept of the Year Award (2022) Grants and Advising: Zahid collaborates on grants addressing water management in Pakistan’s Indus Basin and sustainable robotics for tree pruning. He currently advises no listed students but actively mentors graduate researchers in his lab. Labs/Teams: Zahid directs the Controlled Environment Agriculture Engineering Lab at Texas A&M, focusing on cross-disciplinary innovations at the intersection of agriculture, robotics, and AI. His team develops scalable technologies for commercial and research CEA systems.

Tirthak Patelمشاهده پروفایل

استادیار

• Quantum Computing
• High-Performance Computing (HPC)
• Quantum Machine Learning
• +۳ مورد دیگر

Tirthak Patel is an Assistant Professor in the Department of Computer Science at Rice University and Director of the Positive Technology Lab. His research focuses on systems-level challenges at the intersection of quantum computing and high-performance computing (HPC), emphasizing reliability, performance, and energy efficiency trade-offs. He holds a PhD from Northeastern University (2023) and prior degrees from Northeastern and the University of Toronto. Education: PhD in Computer Engineering, Northeastern University (2023) MS in Electrical and Computer Engineering, Northeastern University (2019) Bachelor of Applied Science in Electrical Engineering, University of Toronto (2017) His research explores quantum system software, compiler design for neutral atom quantum architectures, and quantum machine learning. Notable contributions include frameworks like PARALLAX (compiler for neutral atom quantum computers) and GEYSER (compilation for neutral atom systems). He prioritizes open-source tools and reproducible research. Research Trends in Publications: Recent work emphasizes quantum noise utilization, quantum GANs, and compiler optimizations for NISQ-era hardware. He also addresses challenges in hybrid quantum-classical systems and quantum cloud security (e.g., OpaQue for program obfuscation). Awards: 2024 ACM SIGHPC Doctoral Dissertation Honorable Mention 2021 ACM-IEEE CS George Michael HPC Fellowship 2024 Rice Outstanding Undergraduate Research Mentor Award Advising & Grants: While specific grant details aren't listed, his work is supported by open-source contributions and industry collaborations. He advises students through Rice's Quantum Computing programs and teaches courses like COMP 448/558: Quantum Computing Algorithms. Labs & Teams: Directs the Positive Technology Lab, focused on advancing quantum computing systems through interdisciplinary approaches. Collaborates with industry partners and international conferences as a TPC member for venues like SC, ISCA, and ICCAD.

Andrew Murrayمشاهده پروفایل

عضو هیئت علمی

• Ageing
• Gerontology
• Health Span
• +۳ مورد دیگر

Dr Andrew Murray is an Honorary Senior Lecturer at the School of Medicine, University of St Andrews. His research focuses on ageing-related pathologies, contributing to international efforts to classify and address health challenges associated with advancing age. He co-authored a landmark consensus statement on defining ageing-related pathologies, diseases, and syndromes, emphasizing their impact on functional capacity and quality of life. Affiliation: School of Medicine, University of St Andrews Research Focus: Ageing, health span extension, and functional decline mechanisms Dr Murray's work aligns with the University's commitment to interdisciplinary research in global health and translational medicine. His current projects aim to improve classification systems for ageing-related conditions to inform healthcare policies and interventions. His email is amur@st-andrews.ac.uk .