Professor Helen Finch (University of Leeds) is a leading scholar in German Literature , with a focus on Holocaust Studies , Queer Memory , and German-Jewish Cultural Production . Affiliated with the School of Languages, Cultures and Societies and the Centre for Jewish Studies , she co-leads the LCS Queer Area Studies Network and contributes to equality initiatives through the LGBT+ staff network . Research: Holocaust representation in German works, queer identity in postwar literature, transnational memory studies, curriculum design in German studies Awards: Fellow of the Higher Education Academy (2014) Academic Output : Her 15 most recent publications span Holocaust poetics , queer life writing , translation ethics , and Sebaldian intertextuality , with a particular focus on intersections between trauma , identity , and intergenerational testimony . Supervision : Currently guides PhD research on topics including transnational transphobia , queer art practices , and LGBTQ+ cross-cultural representation . Her students explore areas from German exile photography to postcolonial queer narratives .
Christiane Fellbaum serves as Lecturer with Rank of Professor in Princeton University's Program in Linguistics and Department of Computer Science, where she has been a senior research scholar since returning in 1987 after postdoctoral work at the University of Paris. Her foundational contributions to computational linguistics include co-developing WordNet and co-founding the Global WordNet Association. Her educational background features: Ph.D. in Linguistics, Princeton University (1980) Postdoctoral Fellowship, University of Paris Fellbaum's research integrates theoretical linguistics with computational applications, specializing in lexical semantics, corpus analysis, and semantic network construction. Her work bridges computational linguistics and lexicography through projects like WordNet and Medical WordNet, with recent emphasis on multilingual resources, bias analysis in embeddings, and African language technology development. She examines semantic phenomena including idioms, verb alternations, and emotion scales through both corpus linguistics and formal ontological frameworks. Analysis of her publication trajectory reveals sustained innovation in lexical resource development since the 2000s, evolving from foundational WordNet studies to contemporary work on large language model adaptation and social bias mitigation. Current research demonstrates increasing interdisciplinary collaboration across NLP, cognitive science, and social justice applications. Her scientific recognition includes: Wolfgang Paul Prize from the German Humboldt Foundation (2001) Antonio Zampolli Prize (2006) Fellbaum has secured continuous research funding from the U.S. National Science Foundation, European Union Seventh Framework, Frank Moss Foundation, and Tim Gill Foundation. She actively mentors junior researchers through Princeton's Independent Work seminars and hosts the North American Computational Linguistics Olympiad (NACLO), while leading major international collaborations including the KYOTO and SIERA European projects. As director of the WordNet project and permanent fellow at the Berlin-Brandenburg Academy of Sciences, she maintains leadership in global lexical resource initiatives through the Princeton Language and Intelligence initiative and Natural and Artificial Minds research group.
Noah A. Smith is an Adjunct Professor of Computer Science and Engineering at the University of Washington. His work focuses on computational linguistics, machine learning, and natural language processing. He holds a Ph.D. in Computer Science from Johns Hopkins University (2006). His research explores ethical AI applications, multimodal systems, and foundational aspects of language models. Key research areas include: Ethical considerations in NLP, such as detecting rights abuses through text analysis Efficient decoding and alignment strategies for large language models Large-scale evaluation frameworks for multitask and multimodal generation Understanding pretraining dynamics and data composition effects Recent work emphasizes transparency in language models (e.g., tracing outputs to training data) and improving alignment through human feedback. He has contributed to open-source projects like OLMo and Dolma, advancing reproducibility in NLP research. No awards explicitly listed in provided texts. No specific advising or grant details available, though extensive publication output indicates active research involvement.
Roles and Affiliations: Full Professor at the School of Computing and Information Systems (SCIS), Singapore Management University (SMU). Research Advisor to Xiaosen Zheng and Kankan Zhou. Serves as Action Editor for Transactions of the Association for Computational Linguistics (TACL) , Program Co-Chair of EMNLP 2019, and Editorial Board Member of Computational Linguistics (2015-2017). Education: PhD in Computer Science, University of Illinois at Urbana-Champaign (2008) B.S. and M.S. in Computer Science, Stanford University Research Focus: Specializes in natural language processing (NLP), text mining, machine learning, and data mining. Current interests include question answering, social media content analysis, and combating misinformation. Explores topics like counterfactual syntax for cross-lingual understanding, interventional training for robust NLU, and bias detection in vision-language models. Publications: Over 100+ peer-reviewed papers across top conferences (ACL, EMNLP, NAACL) and journals. Recent work emphasizes multimodal analysis, hate speech detection in memes, and robustness improvements for large language models. Key themes include cross-lingual systems, knowledge base question answering, and misinformation mitigation. Grants & Advising: Supervises PhD/Master’s students in cutting-edge NLP research. Leads projects on model memorization studies, hate meme classification, and interventional training frameworks. Active in organizing conferences and editorial roles. Teaching: Teaches courses in software foundations and programming fundamentals, bridging theory and practical NLP applications.
Simon Gathercole is a Professor of New Testament and Early Christianity at the University of Cambridge's Faculty of Divinity. He serves as Director of Studies in Theology at Fitzwilliam College and holds editorial roles for Journal for the Study of the New Testament , Early Christianity , and New Testament Studies . His research focuses on New Testament interpretation, early Christian-Jewish relations, and Christological doctrines. Education: Bachelor's in Classics and Theology from Cambridge PhD under James Dunn at Durham University Short-term studies at University of Tübingen and Jewish Theological Seminary, New York Research Interests: Explores connections between New Testament texts and contemporary literature, specializing in Pauline studies, Gospel christology, and apocryphal writings. Current projects include early views on eschatological timing and substitutionary atonement theory. Recent Work Trends: Recent articles engage with Pauline syntax in 1 Thessalonians, Lukan parables' eschatology, and inscriptions' utility for NT studies. Maintains focus on manuscript titles and Gnostic texts' theological implications. Advising & Grants: Supervises doctoral research in Pauline theology and extra-canonical Gospels. Active in editorial work shaping NT scholarship through journal curation. Labs/Teams: Leads Cambridge's Divinity Faculty research initiatives, collaborating on projects like the Corpus Inscriptionum Iudaeae/Palaestinae .
Ellen Bialystok is a prominent academic in the fields of psycholinguistics and cognitive neuroscience, focusing on bilingualism and its effects on aging and executive functioning. She has contributed extensively to interdisciplinary research through publications, editorships, and theoretical analyses. Her research explores how bilingualism modifies cognitive control, working memory, and neuroplasticity, particularly in aging populations. Key themes include cognitive reserve, language representation, and neural mechanisms underlying bilingual processing. The articles highlight a consistent focus on bilingualism's impact on cognitive aging, executive function, and lexical access, with methodologies spanning behavioral studies, ERP analysis, and theoretical frameworks. Keywords include psycholinguistics, neuroscience, and cognitive psychology.
Joakim Nivre is a Professor at Uppsala University's Department of Linguistics and Philology. He is a leading researcher in computational linguistics, with a focus on dependency parsing, Universal Dependencies (UD) framework development, and multilingual NLP applications. His recent work explores LLMs in climate change discourse analysis, pharmacovigilance explainability, and historical text processing. Key research areas: Dependency parsing theory, Universal Dependencies standardization, LLM evaluation Collaborations: SweSAT-1.0 benchmark development, ClimateEval project, PARSEME integration His 2025-2023 publications demonstrate expertise in explainable AI for healthcare, synthetic data generation for idioms, and multilingual benchmark design. Notably, he co-developed SweSAT-1.0 to evaluate Swedish LLMs and contributed to typology-informed UD revisions. Despite extensive work in NLP, no scientific awards are mentioned in available texts.
Zhiqiang Yu serves as an Associate Professor in the Department of Modern Languages and Comparative Literature at Baruch College's Weissman School of Arts and Sciences, City University of New York. With over two decades of teaching experience, he has established himself as a dedicated educator specializing in Chinese language, cinema, and civilization courses. Education: Ph.D. in Chinese, University of Washington M.A. in Asian Civilization, University of Iowa B.A. in Chinese Literature, Fudan University (Shanghai) Professor Yu's research focuses on innovative approaches to Chinese language pedagogy, with particular interest in applying economic principles and artificial intelligence to language teaching. His work bridges traditional linguistic scholarship with modern educational technology, examining how efficiency, resource allocation, and technological advancements can enhance language learning outcomes. His research spans Chinese linguistics, dialectology, cinema studies, and cultural elements in language teaching. His publication record reveals a consistent trajectory toward optimizing language instruction through systematic analysis. Recent work increasingly focuses on AI applications in language education and the economic framework of pedagogical efficiency. His scholarship demonstrates a progression from traditional linguistic analysis toward innovative teaching methodologies that incorporate modern technological and theoretical frameworks. Scientific Awards: Award of Excellent Academic Research Reviewer from Journal of International Chinese Education (2016) Graduate Teaching Fellowship from University of Washington (1993) Graduate Teaching Fellowship from University of Iowa (1989) Graduate Research Fellowship from University of Iowa (1988) Student Excellency Award from Fudan University (1984) Professor Yu has served extensively on departmental committees including as Department Assessment Coordinator and Secretary of the Asian and Asian-American Studies Committee. He has organized numerous academic events featuring prominent Chinese cultural figures and has contributed to developing Chinese language curriculum resources including online placement tests. His professional service extends to editorial work for CUNY publications and Chinese language training for the New York Police Academy. He maintains active involvement with multiple professional organizations including the American Name Society, American Oriental Society, American Society of Geolinguistics, Association for Asian Studies, and Chinese Language Teachers Association, frequently presenting at international conferences on Chinese language pedagogy.
Julie Anne Legate is Professor and Chair of Linguistics at the University of Pennsylvania's Department of Linguistics. She earned her PhD from the Massachusetts Institute of Technology in 2002. Legate co-directs the Penn Syntax Lab and served as Editor-in-Chief of Natural Language & Linguistic Theory for 10 years. Her research focuses on syntactic theory, morphosyntax, and syntax-semantics interfaces, with specialization in endangered/understudied languages. Key interests include passives, impersonals, causatives, null subjects, case theory, and locality domains. She maintains secondary research interests in language acquisition. Legate's publications demonstrate extensive work on voice systems (especially passives), ergativity, case theory, recursion, and cross-linguistic analysis of languages including Acehnese, Warlpiri, and Lithuanian. Her research frequently combines theoretical innovation with empirical fieldwork. Awards include the LSA’s Best Paper in Language Award (2020) for On Passives of Passives . She has advised multiple PhD students including Faruk Akkuş (2021), Milena Šereikaitė (2020), Ava Irani (2019), Helen Jeoung (2018), and Einar Freyr Sigurðsson (2017). Current projects include: syntactic islands (with Charles Yang), Mandarin bridge verbs (with Jiayi Lu and Charles Yang), null subjects in Brazilian Portuguese (with Gesoel Mendes), and passive agent binding.
Ari Schlesinger is an Assistant Professor of Computer Science at the University of Georgia (UGA), directing the Socially Responsible Tech Lab. She holds a PhD from the School of Interactive Computing at Georgia Institute of Technology. Her research focuses on anti-discriminatory computing, technology policy, and equitable sociotechnical systems. She advocates for reducing computing-enabled harm to advance justice in technology. Education : PhD in Human-Centered Computing (HCC), Georgia Tech Affiliations : ACM's U.S. Technology Policy Committee Her work spans Human-Computer Interaction (HCI), Artificial Intelligence (AI), and broader CS applications. Key interests include addressing algorithmic bias, inclusive design, and policy frameworks for ethical computing. She has developed strategies to mitigate discrimination in technical systems through frameworks like anti-discriminatory computing. Awards include the 2021 Outstanding Graduate Teaching Assistant Award and a Best Paper Award at CHI 2018. Her research has been featured in venues like CSCW and CHI, focusing on topics from chatbot ethics to decentralized social networks. Lab : Socially Responsible Tech Lab at UGA Grants/Advising : Advises graduate student Eddie Alexander Gomez Schieber. Active in policy advocacy and academic leadership roles.
Gabrielle Hodge is a Senior Lecturer in Sign Language Linguistics at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. A deaf researcher, she specializes in sociolinguistics related to deaf communities, sign languages, and multimodal communication. Her work incorporates corpus linguistics, applied linguistics, and semiotics methodologies. Education: PhD in Linguistics (Macquarie University, 2014), BA (Hons) in Linguistics (La Trobe University, 2008). Teaching includes undergraduate and postgraduate courses in sign language linguistics and sociolinguistics. She chairs the University BSL Plan Implementation Group (2024-2030) and actively supervises PhD and MSc students in deaf community research. Research focuses on accessibility, sign language corpus methods, and inclusive language theory. Notable projects include the Accessibility & Inclusion Toolkit for deaf Australians and Signing to Know & Survive , exploring deaf communication resilience. She develops training for educators and interpreters, emphasizing direct access without relay systems. Key contributions include advancing corpus-driven sign language research, analyzing deaf professionals' trust in interpreters, and creating climate change resilience resources in Auslan. Her work challenges traditional linguistic frameworks to better incorporate deaf perspectives and embodied communication practices.
Shiqing Ma is an Assistant Professor in the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst. Previously, he held a faculty position at Rutgers University from 2019 to 2023. He earned his Ph.D. in Computer Science from Purdue University (2019) and B.E. from Shanghai Jiao Tong University (2013). His research focuses on secure, intelligent, and transparent computing systems, particularly at the intersection of security, AI, and software systems. Key areas include integrating machine learning into software systems, ensuring algorithmic security through program analysis, and developing novel system architectures. Professor Ma's work has been recognized with prestigious awards, including the NSF CAREER Award (2023), and distinguished paper awards at USENIX Security (2017) and NDSS (2016). He actively contributes to the academic community through editorial roles and program committees in security, privacy, and software engineering. His research explores topics like backdoor attacks, AI safety, and bias mitigation in large language models. Recent articles emphasize defense mechanisms against adversarial attacks, watermarking techniques, and automated debugging systems for machine learning pipelines.
Mohammad Hamdaqa is an Associate Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal, where he leads the Laboratory of Software and Emerging Technologies. His academic journey includes a Ph.D. in Electrical and Computer Engineering from the University of Waterloo (2016), a Master's in Electrical and Computer Engineering from Concordia University, an MBA from the New York Institute of Technology, and a Bachelor's in Computer Engineering from Jordan University of Science and Technology. His research focuses on the intersection of software engineering and emerging technologies, particularly examining how software engineering approaches can be adapted for complex new platforms like cloud computing and blockchain. His work spans model-driven software engineering, cloud application architecture, smart contract development, and infrastructure as code. He investigates both how traditional software engineering practices can evolve to address the challenges of modern distributed systems and how emerging technologies can transform software development processes themselves. Analysis of his recent publications reveals a strong emphasis on blockchain technologies (particularly smart contracts), cloud-native applications, and the application of AI to software engineering tasks. His work shows a consistent thread of empirical research combined with practical tool development, with increasing focus on sustainability aspects of software systems in recent years. Much of his research bridges theoretical foundations with practical implementation concerns. Professor Hamdaqa serves as a thesis supervisor for multiple graduate students, with recent completed Master's theses focusing on smart contract auditing, prompt engineering for OCL generation, model-driven epidemiology, and security practices in infrastructure as code. He actively recruits students for research projects in his laboratory. He is a member of both the IEEE Computer Society and the Association for Computing Machinery (ACM), has served on program committees for major software engineering conferences, and is on the editorial board of Service Transaction on Internet of Thing. His laboratory, the Laboratory of Software and Emerging Technologies, serves as the hub for his research activities in blockchain, cloud computing, and model-driven engineering.
Lea Rees is Lady Wallis Budge Junior Research Fellow in Egyptology at University College, Oxford, and an Associate Member of the University’s Faculty of Asian and Middle Eastern Studies. She leads and collaborates on fieldwork at Dahshur with the German Archaeological Institute in Cairo and on conservation and publication in the tomb of Ramesses III (KV 11). Research interests span Egyptian settlement and landscape archaeology, cultural interactions, archaeological theory, and the history of Egyptology. She employs phenomenological, sociological, and archival perspectives to investigate ancient lived environments and their modern reception. Egyptian settlement archaeology Landscape biography and phenomenology Cross-cultural iconography (e.g., Bes in the Achaemenid Empire) Archaeological theory and spatial sociology Conservation and epigraphy in the Valley of the Kings Her recent publications concentrate on two major arenas: the Valley of the Kings , where multi-year conservation and documentation campaigns in KV 11 have yielded richly illustrated reports and new insights into Ramesside burial equipment; and Dahshur , where she interrogates long-term landscape transformations from Early Dynastic encampments to Old Kingdom pyramid towns and their subsequent deconstruction. Scientific recognition includes the competitive Lady Wallis Budge Junior Research Fellowship and ongoing collaboration with the German Archaeological Institute, the Ramesses III Conservation Project, and international scholarly networks. Current projects & teams : Post-doctoral project ‘Historicising phenomenology: A landscape biography of Dahshur’ at Oxford Field director, Dahshur excavations (German Archaeological Institute Cairo) Research collaborator, Ramesses III (KV 11) Publication and Conservation Project
Torsten Grust is a Professor of Computer Science at the University of Tübingen, leading the Database Systems research group since 2008. Previously, he held professorships at TU München and TU Clausthal. He earned his M.Sc. (Diploma) and Ph.D. in Computer Science from Universität Konstanz in 1994 and 1999, respectively. His research focuses on database languages, query and programming language technology, and scalable processing of non-relational queries. He bridges database and programming language research, emphasizing mutual benefits between the fields. **Education:** Ph.D. in Computer Science, University of Konstanz (1999) M.Sc. (Diploma), Computer Science, University of Konstanz (1994) Visiting Scientist, IBM Silicon Valley Laboratories (2000) **Research Interests:** Design and optimization of database languages Query compilation and execution engines Integration of functional programming with SQL Query provenance and debugging **Awards and Honors:** ACM SIGMOD Reproducibility Award (2021) University of Tübingen Teaching Award (2021/22) Winner of Dyalog 2019 APL Program Solving Competition Member of the VLDB Endowment Board of Trustees (2022–2027) **Advising & Grants:** Guided numerous students, including alumni such as Alexander Ulrich, Benjamin Dietrich, and Christian Duta Recipient of grants supporting research in query compilation, provenance analysis, and database language design **Labs & Teams:** Leads the Database Systems research group at University of Tübingen Collaborates with the National Institute of Informatics (Tokyo) on query and programming languages
