جست‌وجوی استاد و پژوهشگر

Hanem El-Farahatyمشاهده پروفایل

استاد

• Linguistics
• Translation Studies
• Interpreting
• +۱۳ مورد دیگر

Professor Hanem El-Farahaty is a Professor in Linguistics, Translation and Interpreting at the School of Languages, Cultures and Societies, University of Leeds, UK. She holds a PhD from the University of Leeds and has two BA degrees and an MA from the University of Mansoura, Egypt. Her academic roles focus on Arabic media, translation, and interpreting, with a strong research orientation in legal and political discourse. PhD in Translation Studies, University of Leeds MA in Applied Linguistics, University of Mansoura BA in English Language and Education, University of Mansoura BA in English Language and Literature, University of Mansoura Her research interests span comparative linguistics , Arabic/English legal translation , corpus-based translation , media and political translation , and critical discourse analysis , with a particular focus on political satire and multimodal communication in the Arab world. She investigates gender, modality, and constitutional language using corpus-driven methodologies. The analysis of her recent publications reveals a consistent trend in legal corpora development , deontic modality , and political discourse in Arabic and English contexts. Her work bridges translation theory, legal linguistics, and digital media, often using multimodal and corpus-based approaches to analyze political satire and constitutional texts. Her scientific recognition includes: Senior Fellow of the Higher Education Academy (SFHEA) Fellow of the Chartered Institute of Linguists (FCIL) She supervises PhD students and is actively involved in academic leadership, having organized major conferences and panels on Arabic translation and Middle Eastern studies. She has received no explicit mention of grants, but her extensive publication and conference activity suggest sustained research funding. She is a member of several professional bodies, including BRISMES, IATIS, FLITE, and ILLA. She contributes to academic communities through editorial roles, including membership in the Scientific Committee for the Leeds Language Scholar Journal and the International Journal of Translation, Interpretation, and Applied Linguistics . Her work is deeply embedded in interdisciplinary research, connecting linguistics, law, politics, and digital culture.

• Neuromorphic Computing
• Spiking Neural Networks
• Bio-inspired Artificial Intelligence
• +۸ مورد دیگر

Dr James Knight is a Senior Research Fellow in Informatics at the School of Engineering and Informatics, University of Sussex. He is currently an EPSRC Research Software Engineering Fellow (2022–2026), leading research in neuromorphic computing and spiking neural networks. His work bridges computer science, neuroscience, and robotics, with a focus on bio-inspired artificial intelligence and computational modeling of insect cognition. Education: PhD in Computer Science, University of Manchester (2013–2016) MPhil in Advanced Computer Science, University of Cambridge (2012–2013) BEng in Electronic Engineering, University of Warwick (2003–2006) His research interests center on neuromorphic computing , spiking neural networks , and bio-inspired AI , particularly drawing insights from insect neuroscience to develop efficient and robust machine learning systems. He explores event-based vision, neural hardware acceleration, and computational models of insect navigation and perception. The 15 most recent publications (2024–2025) reflect a strong trend in developing and benchmarking neuromorphic algorithms, including training methods like Eventprop, hardware-software co-design (e.g., FeNN processor), and modeling biological systems such as insect central complex and mushroom bodies. These works span journals like Nature Communications , PLoS Computational Biology , and Neuromorphic Computing and Engineering , as well as IEEE and Springer conferences. Scientific Grants: Unlocking spiking neural networks for machine learning research (EPSRC, 2022–2026) – Principal Investigator ActiveAI – active learning and selective attention for robust, transparent and efficient AI (EPSRC, 2019–2022) – Research Team Member Dr Knight actively collaborates with leading researchers including Thomas Nowotny, Andrew Philippides, and Paul Graham. His work contributes to both theoretical advances in neural computation and practical applications in robotics and AI. He is involved in developing frameworks such as NeuroBench for standardized evaluation of neuromorphic systems. Laboratories and Research Teams: He is part of the neuromorphic computing and computational neuroscience research groups at the University of Sussex, contributing to interdisciplinary projects that integrate software engineering, AI, and biological modeling.

• Natural Language Generation
• Natural Language Processing
• Low-Resource Language Modeling
• +۱۲ مورد دیگر

David M. Howcroft is an Advanced Research Fellow in Natural Language Generation at the School of Natural and Computing Sciences, University of Aberdeen . He previously held research fellowships at Edinburgh Napier University, Heriot-Watt University, and Saarland University, contributing to major NLP projects including ASICA, NLG for Low-Resource Domains, and Madrigal. His work bridges computational linguistics, psycholinguistics, and statistical modeling. His research focuses on natural language generation , particularly in low-resource settings . He develops machine learning methods for data-to-text generation, creates novel corpora (e.g., for Scottish Gaelic), and improves human evaluation practices via crowdsourcing and rigorous statistical analysis. A key interest is the application of Bayesian nonparametrics and ordinal mixed-effects models to better understand and evaluate generated text. He also explores readability, referring expressions, and AI planning for rule-based NLG systems. His recent publications reveal a strong trend toward methodological rigor and inclusivity in NLP. He advocates for better evaluation standards, transparency in metric usage, and participatory design in NLP research. His work spans corpus development , evaluation methodology , low-resource language support , and human-centered NLP . He has led efforts to create datasets for under-resourced languages and to standardize best practices in human assessment. He has received small grant funding for projects such as Scottish Gaelic Generation for Exhibits and has contributed to software tools for data collection and evaluation. He mentors and collaborates widely, though no formal advisees are listed. He has developed backend systems and Android apps for healthcare applications, notably in melanoma patient support via the ASICA project. He is actively involved in research labs and teams including: ASICA Project Team (University of Aberdeen) NLG for Low-Resource Domains (Edinburgh Napier University) Madrigal Project (Heriot-Watt University) SFB 1102 Project A4 (Saarland University) Language Science and Technology (LSV, Saarland University) His scientific contributions are widely disseminated through top-tier venues such as ACL, EMNLP, and INLG. He maintains an active online presence with tutorials and technical blog posts on tools like OpenCCG and Treex.

Dimitrios Karolidisمشاهده پروفایل

مدرس

• Web Application Development
• Geographic Information Systems
• Educational Technology
• +۵ مورد دیگر

Dimitrios Karolidis is a Lecturer at the Department of Informatics and Computer Engineering within the School of Engineering at the University of West Attica (UniWA). He holds a Bachelor's degree in Physics from the University of Ioannina and a Master's in New Information and Communication Technologies from the National and Kapodistrian University of Athens (NKUA). Education: BSc in Physics, University of Ioannina MSc in New Information and Communication Technologies, NKUA His research focuses on Web Application Development , Internet Technologies , and Machine Learning . He has contributed to photovoltaic system optimization through projects like SmartPV , emphasizing fault detection, energy efficiency, and IoT integration. His publications highlight advancements in smart photovoltaic systems , including fault detection algorithms and communication protocols, aiming to reduce maintenance costs and improve energy output. He has also authored textbooks on programming languages like C and Python, widely used in academic settings. He has previously held academic positions at the Technological Educational Institute of Athens (2007-2018) and TEI Piraeus , working on laboratory and teaching roles related to computer systems and networks.

Axel Polleresمشاهده پروفایل

استاد

• Semantic Web
• Knowledge Engineering
• Data Management
• +۱۲ مورد دیگر

Axel Polleres is a full professor in the area of 'Data and Knowledge Engineering' at the Vienna University of Economics and Business (WU Wien) and a faculty member at the Complexity Science Hub (CSH) in Vienna, a position he has held since January 2017. His work bridges academic research and real-world applications in semantic technologies, knowledge graphs, and data governance. His research interests lie at the intersection of semantic web technologies, knowledge engineering, and data management. Focused on querying and reasoning over ontologies, logic programming, and rule-based systems, he explores how structured data can be effectively managed, validated, and integrated—especially through standards like SPARQL and SHACL. His work extends to applications in open data, legal data, biomedical informatics, and socio-environmental challenges such as climate and public health. The most recent publications highlight a growing trend toward practical and societal applications of knowledge graphs, including climate risk assessment, crisis response, healthcare accessibility, and open data governance. These works combine technical rigor in semantic modeling with impactful real-world use cases, particularly in European and Austrian contexts. Axel Polleres has been actively involved in international standardization, notably as co-chair of the W3C SPARQL Working Group, and serves on the editorial boards of the Semantic Web Journal and Journal of Web Semantics . He has contributed to numerous European and national research projects and has published over 100 articles in top-tier journals and conferences. He advises and collaborates with researchers across disciplines and institutions, contributing to interdisciplinary teams working on complex societal challenges. His work is supported by significant research grants, though specific funding sources are not detailed in the provided text. He leads and participates in research groups focused on semantic technologies, knowledge graphs, and data-driven policy.

Scott Howeمشاهده پروفایل

استاد

• Capital Punishment Law
• Death Penalty
• Criminal Law
• +۵ مورد دیگر

Scott Howe is a Professor at Chapman University , holding appointments at the Fowler School of Law and Crean College of Health and Behavioral Sciences . He has been a faculty member since 1996, teaching Criminal Law , Criminal Procedure/Police Practice , and Evidence . Voted Professor of the Year multiple times, Professor Howe is a leading expert in Capital Punishment Law , Death Penalty , and Constitutional Criminal Procedure . Education Bachelor of Arts in Economics, University of Missouri (Phi Beta Kappa) Juris Doctor, University of Michigan (Articles Editor, Michigan Law Review) His scholarly work focuses on racial justice in sentencing , constitutional challenges to capital punishment , and legal ethics in public defending . Articles appear in top journals like the Washington Law Review and Northwestern University Law Review . He co-authored influential books including Understanding Capital Punishment Law and California Criminal Law: Cases and Problems . Notable Contributions Extensive research on historical and systemic racism in capital sentencing (e.g., Atoning for Dred Scott and Plessy ). Legal advocacy for death-row inmates , including representing Kerry Max Cook. Critique of plea bargaining and excessive bail in the justice system. His career spans criminal defense, academia, and policy reform, with roles as Associate Dean for Academic Affairs and Interim Dean at Chapman University.

Cor Stegingمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Hybrid Intelligence
• Explainable AI
• +۳ مورد دیگر

Dr. Cor Steging is a Postdoctoral Researcher at the University of Groningen's Faculty of Science and Engineering, specializing in Artificial Intelligence through the Bernoulli Institute. His work focuses on bridging machine learning with structured reasoning, particularly in legal contexts, with strong emphasis on ethical and transparent AI development. Research interests center on Hybrid Intelligence systems that combine learning and reasoning, with specialization in Responsible AI and Explainable AI methodologies. Key focus areas include: Alignment of machine learning outputs with human-understandable reasoning Application of AI in legal domains and justice systems Development of transparent AI systems for high-stakes decision environments Handling incomplete/inconsistent data in critical applications Ethical implications of prediction systems in law Recent publications reveal a clear trajectory toward practical implementation of Responsible Hybrid Intelligence , with growing emphasis on legal applications and ethical frameworks. The 2024 doctoral thesis establishes foundational methodology for aligning learning and reasoning, while 2023 publications deepen exploration of legal domain applications and workshop organization for responsible AI development. Collaborative research demonstrates strong network connections with prominent AI researchers including Bart Verheij, Silja Renooij, and Trevor Bench-Capon. Current work addresses critical gaps in AI transparency for legal decision-making, with particular attention to small/inconsistent datasets and ethical design choices in machine learning systems.

Amna Batoolمشاهده پروفایل

پژوهشگر ارشد

• AI Governance
• Responsible Artificial Intelligence
• Human-Device Interaction in IoT
• +۳ مورد دیگر

Amna Batool is a postdoctoral researcher at CSIRO's Data61 , specializing in AI Governance , Responsible Artificial Intelligence , and Diversity in AI . Formerly, she conducted Ph.D. research at Deakin University's Faculty of Information Technology on Human-Device Interaction in IoT systems. Doctor of Philosophy (2023), Deakin University Master of Science (2017), Staffordshire University, UK Bachelor of Science (2015), Open University, UK Her research focuses on policy-driven frameworks for managing interactions in AI-embedded IoT systems, emphasizing responsible AI and socio-ethical behavior . She explores how transparent governance and inclusive design can address challenges in smart device collectives and global software development . Amna's work has been recognized with the IEEE Best Research Poster Award and Deakin HDR Best Presentation Award . She was a 3MT competition finalist and led an International Education Resilience Fund project during her Ph.D. IEEE Victorian Section Best Research Poster Award Deakin HDR conference Best Presentation Award 3MT Faculty Finalist As a Sessional Lecturer at Deakin University and Robotics (AIoT) Researcher at EXAPTEC, she bridges academic teaching with industry innovation. Currently, she mentors female STEM students through the STEM Sisters Ambassadorship program.

Lu Tangمشاهده پروفایل

دانشیار

• Biostatistics
• Machine Learning
• Health Data Science
• +۷ مورد دیگر

Lu Tang is an Associate Professor and Vice Chair for Education in the Department of Biostatistics and Health Data Science at the University of Pittsburgh School of Public Health. Her research bridges biostatistics and machine learning to advance health data science through integrative analysis of distributed and high-dimensional datasets, with significant applications in precision medicine, opioid use disorder, sepsis treatment, and public health policy. Dr. Tang's educational journey includes foundational training at Sun Yat-sen University followed by advanced degrees in quantitative fields: PhD in Biostatistics, University of Michigan (2018) MS in Statistics, University of Virginia (2013) BA in Mathematics, University of Virginia (2012) Her research program develops statistical methodologies for data integration, causal inference, and decision-making in healthcare settings. She pioneers techniques for federated learning, robust individualized treatment rules, and high-dimensional data analysis, directly addressing challenges in health disparities, electronic health records, and clinical trial heterogeneity. Her work consistently translates methodological innovations into practical tools for biomedical researchers. Analysis of Dr. Tang's publication trajectory reveals a strategic evolution toward solving real-world healthcare data challenges through distributed learning frameworks. Her recent work emphasizes robust decision rules for heterogeneous populations (2022-2025), transfer learning for federated systems (2024), and methodological innovations for longitudinal and high-dimensional data (2019-2023), demonstrating consistent contributions across biostatistics, machine learning, and public health domains. Dr. Tang has been recognized with: IMS New Researchers Travel Award (2023) She actively mentors 6 current graduate students across PhD and MS programs while supervising 8 alumni now in industry and academia. Her research program is sustained by major funding including NIH R21DA055672 (PI, 2023-2025) on federated Medicaid data analysis, NSF DMS 2310217 (PI, 2023-2026) for longitudinal missing data methods, and multiple NIH R01 grants as Co-I addressing opioid treatment equity and precision medicine in sepsis. Dr. Tang leads the development of critical open-source software including RISE (Python) for robust individualized decisions, ifedtree (R) for tree-based federated learning, and metafuse (R/CRAN) for data integration, establishing infrastructure widely adopted in health data science research communities.

Gabriele Margarete Buchholtzمشاهده پروفایل

استادیار

• Public Law
• Social Law
• Migration Law
• +۴ مورد دیگر

Prof. Dr. Gabriele Margarete Buchholtz holds the Junior Professorship for Social Security Law with a Focus on Digitalization and Migration at the University of Hamburg Faculty of Law . She has been a faculty member since November 2020 and leads research intersecting public law, social law, and digital governance . Education: Studium der Rechtswissenschaften, Bucerius Law School (2006–2011) First State Exam, Hanseatisches Oberlandesgericht (2011) Dr. iur., summa cum laude (2014) Second State Exam (2016) Research Focus: Her work addresses migration law, data protection, AI governance, and social rights in digital contexts . She co-edited Integratives Recht (2021) and Digital Health und Recht (2024), focusing on interdisciplinary legal frameworks. Article Trends: Recent publications examine AI ethics, federated learning in healthcare, data trust models, and European social rights . Collaborative works with computational researchers highlight privacy-preserving technologies and regulatory harmonization . Scientific Awards: Hugo Sinzheimer Dissertationspreis (2015) Kliemt & Vollstädt-Dissertationspreis (2014) Claussen-Simon-Stiftung Auszeichnung (2018) Daimler und Benz Stiftung Fellowship (2019) Konrad-Adenauer-Stiftung Promotionsförderung (2012–2013) Grants & Projects: Co-leader of TreuMed , a research project on data trust models in medical AI (funded by BMAS/FIS) Contributions to EU labor standards and OECD guidelines Labs & Teams: Collaborates with Computational Systems Biology Lab (Prof. Jan Baumbach) Part of interdisciplinary workshops on data certification and privacy labels

Victor Bolbotمشاهده پروفایل

پژوهشگر

• Autonomous ships
• Marine systems safety
• Ship propulsion systems
• +۳ مورد دیگر

Victor Bolbot serves as a Postdoctoral Researcher in the Department of Energy and Mechanical Engineering at Aalto University, Finland, affiliated with the Marine and Arctic Technology research group. His work focuses on advancing safety, reliability, and cybersecurity frameworks for autonomous maritime systems through rigorous systems engineering approaches and data-driven methodologies. He maintains active collaborations with international researchers and institutions, evidenced by extensive co-authorship across high-impact publications. Dr. Bolbot's research centers on autonomous ships, marine systems safety, ship propulsion cybersecurity, and risk modeling. He employs systems-theoretic process analysis (STPA), Bayesian networks, and association rule mining to address critical challenges including maritime accident causation, cybersecurity vulnerabilities in dual-fuel engines, safety acceptance criteria for autonomous vessels, and socio-technical implications of maritime automation. His methodological innovations bridge theoretical safety engineering with practical applications in Arctic navigation, inland waterways, and regulatory compliance, emphasizing the integration of cyber-physical risk assessment. Analysis of his 2023-2025 publications reveals three dominant research trajectories: (1) Development of cyber-physical risk frameworks like STPA-Cyber for maritime cybersecurity; (2) Real-time Bayesian modeling for dynamic operations including remote pilotage and ice navigation; and (3) Socio-technical investigations into regulatory frameworks, educational needs, and workforce skill transformations for autonomous shipping. His work consistently addresses the interplay between technological innovation and safety assurance, with growing emphasis on cybersecurity as a critical maritime safety component. As an active member of Aalto University's Marine and Arctic Technology research group, Dr. Bolbot contributes to interdisciplinary projects tackling complex challenges in marine safety engineering, Arctic operations, and sustainable maritime technologies. The group's collaborative environment supports the development of safer, more efficient, and environmentally conscious maritime systems through experimental validation, computational modeling, and industry partnerships.

Peter Lucas Hulenمشاهده پروفایل

استاد

• Electronic Music
• Music Composition
• Music Theory
• +۳ مورد دیگر

Peter Lucas Hulen is a Professor in the Music Department at Wabash College , where he has taught for nearly 25 years. His work bridges classical acoustic composition with experimental computer-generated electronic music, informed by his classical training and later shift toward digital techniques. Research interests include: Electronic music history Music technology pedagogy Digital synthesis methods (FM, subtractive, granular) Integration of acoustic and electronic sound Algorithmic composition Interdisciplinary applications His compositions explore: Microtonal scales using superparticular ratios Wireless performance interfaces Choral liturgy adaptation Cultural sound symbolism Speaker array design Temporal structure manipulation Recent works combine academic rigor with technical innovation: 2017: Homage and Refuge , Wobbly 2015: Organum IV 2014: Magnificat , Sitting 328b 2013: Les substances botaniques , Primitive 2012: Lamentationes Jeremiae I He developed a systematic electronic music curriculum including: History and Literature Computer Programming (Max/MSP) Performance Ensembles Theory and Composition

Miranda Forsythمشاهده پروفایل

استاد

• Legal Pluralism
• Restorative Justice
• Sorcery Accusation Violence
• +۳ مورد دیگر

Miranda Forsyth is Professor at the School of Regulation and Global Governance (RegNet), Australian National University, specializing in legal pluralism and justice systems in Pacific Island contexts. Her research addresses sorcery accusation-related violence, post-conflict reconciliation, and regulatory innovation. Research Programs: Overcoming Violence in PNG (2023–2029): Focuses on sorcery accusation-related violence and intergroup conflict Community Rule-Making in Pacific Islands (2022–2026): Examines regulatory innovation in Vanuatu and PNG Survivor-Centred Restorative Justice (2023–2025): Models for sexual violence response Geographical Expertise: Long-term fieldwork in Vanuatu, Papua New Guinea, and Bougainville analyzing customary-state justice interactions. Recent publications investigate witchcraft beliefs in public health crises, digital polarization, and environmental restorative justice. Policy Impact: Advisor to Autonomous Bougainville Government and Papua New Guinea National Research Institute on village court reforms and violence prevention frameworks. Authored A Bird that Flies with Two Wings: Kastom and State Justice in Vanuatu (ANU Press).

• Artificial Intelligence
• Machine Learning
• Argumentation Theory
• +۳ مورد دیگر

Benoît ALCARAZ is a Researcher affiliated with the Department of Computer Science at the University of Luxembourg's Faculty of Science, Technology and Medicine (FSTM). His work focuses on advancing artificial intelligence and machine learning, particularly in ethical AI frameworks, argumentation systems, and natural language processing. He is based at the Maison du Nombre research facility in Esch-sur-Alzette. Research Interests include developing algorithms for ethical decision-making in AI, optimizing machine learning models through evolutionary techniques, and creating user-centric NLP tools for real-time applications. His work bridges theoretical computer science with practical ethical considerations, as seen in his exploration of bias mitigation in visual learning and argumentation-based reinforcement learning agents. Notable contributions include frameworks like Ajar for ethical reinforcement learning and IRRMA for image-based meeting assistants. While no explicit awards or grants are listed, his publications indicate active involvement in interdisciplinary AI research with a focus on societal impact.

Brian Ó Raghallaighمشاهده پروفایل

استادیار

• Digital Terminology
• Onomastics
• Folkloristics
• +۶ مورد دیگر

Dr. Brian Ó Raghallaigh is an Assistant Professor in Fiontar & Scoil na Gaeilge at Dublin City University (DCU). He holds a BA (Mod.) in computational linguistics and a PhD in speech technology from Trinity College Dublin. His research focuses on digital terminology, onomastics, folkloristics, phonetics, and language technology. He is Co-Principal Investigator of the AHRC-IRC 'Decoding Hidden Heritages' project (2021–2024) and Principal Investigator of the Department of the Gaeltacht-funded 'Logainm Placenames Database of Ireland' project. Education: BA (Mod.) in Computational Linguistics (Trinity College Dublin), PhD in Speech Technology (Trinity College Dublin) Roles: Technology Manager of the Gaois research group, Module Coordinator for Irish Linguistics (LIG1004), Co-coordinator for Corpus Research (LIG1010) Publications: Authored Fuaimeanna na Gaeilge , creator of fuaimeanna.ie , and co-editor of Decoding the Oral Traditions of Scotland and Ireland . His research interests span terminology, placename studies, digital humanities, and language preservation. He leads projects like Terminologue (a cloud-based terminology platform) and collaborates on initiatives such as the EU-GA terminology project. He is active in professional organizations like SNSBI, SIEF, and CIGILT. Grants & Projects: Funded by AHRC/IRC, Department of the Gaeltacht, RIA. Key projects include Logainm.ie , Gaois surname database , and Historical Dictionary of Modern Irish . Labs/Teams: Gaois research group (focused on language technology), Terminologue (terminology management), and collaborations with the Digital Repository of Ireland (DRI).