جست‌وجوی استاد و پژوهشگر

David Fultonمشاهده پروفایل

استاد

• Human dimensions of fish and wildlife management
• Natural resource policy
• Wildlife and fisheries planning
• +۲ مورد دیگر

David Fulton serves as a Professor and Assistant Unit Leader at the Minnesota Cooperative Fish and Wildlife Research Unit, University of Minnesota, based in Hodson Hall. His research and teaching focus on human dimensions of fish and wildlife management, with a Ph.D. from Colorado State University forming his academic foundation. His educational background includes: Ph.D. from Colorado State University Professor Fulton's research program investigates social, political, and cultural factors influencing conservation decision-making, emphasizing human values and attitudes through interdisciplinary methodologies. He integrates theories from sociology and psychology while advocating for combined qualitative and quantitative social research approaches to address complex wildlife management challenges. His work consistently bridges theoretical frameworks with practical conservation applications. Analysis of his 2020-2023 publications reveals persistent themes in trust dynamics with government agencies, landowner disease management preferences, community stewardship identity, and socioecological conflict resolution. His scholarship frequently applies social identity theory and self-determination theory to examine human behavior in natural resource contexts, demonstrating strong alignment with evolving sociocultural conservation paradigms. David Fulton operates within the Minnesota Cooperative Fish and Wildlife Research Unit, a collaborative entity involving the University of Minnesota, U.S. Geological Survey, and state/federal natural resource agencies. This unit specializes in generating actionable research that integrates social science with ecological data to directly inform fish and wildlife management policies and practices.

Jodi Halpernمشاهده پروفایل

استاد

• Empathy
• AI Ethics
• Bioethics
• +۸ مورد دیگر

Jodi Halpern is a full-time Professor at the University of California, Berkeley, and a co-founder of the Kavli Center for Ethics, Science and the Public (2022). She serves as Faculty Director of BERGIT (Berkeley Group for Ethics and Regulation of Innovative Technologies) and actively consults for organizations including the Federal Reserve Bank of San Francisco, Kaiser Permanente, Intel, Salesforce, and the Mayor’s Office of Los Angeles. Halpern’s work bridges psychiatry, philosophy, and bioethics to address empathy in leadership, AI ethics, and gene editing. Professor at UC Berkeley Co-founded Kavli Center (2022) Faculty Director of BERGIT Consults for tech, healthcare, and government entities Halpern’s research focuses on empathic curiosity as a tool for conflict resolution and trust-building in healthcare, post-war reconciliation, and AI ethics. Her current projects include Engineering Empathy (investigating AI’s impact on emotional relationships), Gene Editing from Bench to Bedside (exploring scientists’ beliefs about gene editing), and Remaking the Self in the Wake of Illness (narratives of adaptation to illness). She integrates philosophical analysis with empirical research in psychology, neuroscience, and behavioral economics. Her notable scientific awards include the 2022 Guggenheim Fellowship in Health and Medicine, the 2019 Chancellor’s Chair at UC Berkeley, and the Yale University Award for the best PhD of significance to humanity across disciplines. Halpern received her MD and PhD through the NIH Medical Scientist Training Program Award , completed psychiatry residency at UCLA, and held fellowships at Princeton, Greenwall, and Townsend centers.

• Machine Learning
• Data Mining
• Computer Vision
• +۳ مورد دیگر

Professor Xue Li is a faculty member in the School of Electrical Engineering and Computer Science at the University of Queensland. His research focuses on machine learning, data mining, and their applications in healthcare, materials science, and computer vision. He has authored over 300 publications, including seminal works on knowledge graph completion, video quality enhancement, and alloy design using machine learning. His work bridges theoretical advancements with real-world applications, such as clinical diagnosis andTinyML systems. Key research interests include graph representation learning, medical informatics, and efficient algorithms for multimedia data. Notable contributions include developing commonsense-enhanced relation extraction models and frameworks for compressed video reconstruction. His research also addresses challenges in federated learning and privacy-preserving genomics. Prof. Li has collaborated extensively with industry and academia, contributing to projects in RFID systems, electronic nose pattern recognition, and cybersecurity. His work is published in top-tier venues like IEEE Transactions and ACM conferences. Despite no listed awards, his prolific output underscores academic impact.

Parisa Kordjamshidiمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۷ مورد دیگر

Parisa Kordjamshidi is an Associate Professor of Computer Science and Engineering at Michigan State University (MSU), leading the Heterogeneous Learning and Reasoning (HLR) Lab. Her research focuses on Neuro-Symbolic AI, spatial language understanding, and structured learning, with notable contributions to frameworks like Saul for declarative programming. She joined MSU in 2019 after roles at Tulane University and the Florida Institute for Human and Machine Cognition. Education: Ph.D. in Computer Science from KU Leuven (2013), postdoctoral research at UIUC's Cognitive Computation Group, and work in the KnowEng project. Research Interests: Artificial Intelligence, Machine Learning, Natural Language Processing, Neuro-Symbolic systems, spatial semantics extraction, structured output learning, and multimodal reasoning. Key projects include NSF CAREER awards for spatial language understanding and ONR grants for integrating domain knowledge into AI. Awards: NSF CAREER (2019), Amazon Faculty Research Award (2022), Fulbright Scholar (2025), and Rising Stars at MIT EECS (2015). Grants: Active projects on Neuro-Symbolic compositional generalization (ONR), spatial language learning (NSF), and collaborations with the Department of Media and Information for health misinformation management. Professional Activities: Editorial roles at JAIR, TACL, and Frontiers journals; service on program committees for ACL, EMNLP, and AAAI; organization of workshops like Spatial Language Understanding (SpLU) and CLeaR. Lab and Software: HLR Lab develops Saul (declarative learning-based programming framework) and tools for spatial role labeling. Her team emphasizes mentoring, with structured weekly meetings, reading groups, and conference participation for students.

Sharad Mehrotraمشاهده پروفایل

استاد

• Data Management
• Distributed Systems
• Database as a Service
• +۷ مورد دیگر

Sharad Mehrotra is a Distinguished Professor at the University of California, Irvine (UCI), leading the Center for Emergency Response Technologies (CERT) and directing the NSF-funded RESCUE project. He previously served at the University of Illinois, Urbana-Champaign, and holds a Ph.D. from the University of Texas at Austin (1993). His research focuses on data management, IoT systems, privacy-preserving technologies, and smart spaces, with contributions to frameworks like TIPPERS and MARS. Education: Ph.D., Computer Science, University of Texas at Austin, 1993 Research Interests: His work bridges database systems, security, and IoT, emphasizing privacy in smart environments. Notable projects include sentient space technologies for disaster response, cryptographic methods for encrypted data queries, and semantic IoT integration. Recent efforts address privacy in multi-owner data systems and resilient community water infrastructure. Awards & Recognition: ACM Fellow (2024) SIGMOD Best Paper (2001), DASFAA Best Paper (2004) NAVWAR Innovation Award (2021) Outstanding Graduate Mentor (2005) Grants & Leadership: As RESCUE PI, he managed $12.5M NSF funding, developing crisis-response software deployed by emergency agencies. Collaborations include the Cal-IT2 institute (UCSD/UCI) and the US Navy’s TIPPERS platform. He co-leads initiatives like the NSF Civic Innovation Challenge for disaster resilience in aging communities. Labs & Teams: Directs UCI’s Information Systems Group and CERT, fostering interdisciplinary research with 60+ members. His teams produce open-source tools (e.g., SEMIoTIC, PrivacySphere) and engage in global partnerships via Fulbright Visiting Scholar programs.

• Natural Language Processing
• Computational Linguistics
• Language Models
• +۳ مورد دیگر

Kentaro Inui is a distinguished researcher at Tohoku University , specializing in Natural Language Processing , Computational Linguistics , and Machine Learning . His work focuses on advancing language model behavior through rigorous empirical analysis, including mechanisms for detokenization , entity identification , and numerical reasoning . Inui has pioneered methods to rectify spurious beliefs in LLMs via unlearning techniques and explored the dynamics of reasoning strategies in neural models. His research addresses chat translation quality through metrics like MQM-Chat and investigates repetition neurons responsible for text generation patterns. Inui also contributes to argumentation analysis with annotation frameworks like LPAttack and develops resources such as COPA-SSE for commonsense reasoning. His work on universal graph-based relation extraction and cross-stitching architectures has established new benchmarks in NLP task performance. Inui's publications span top-tier conferences including ACL , EMNLP , and LREC , often involving collaborations with researchers like Benjamin Heinzerling and Jun Suzuki. His methodological innovations in semi-structured explanation generation , position embedding (e.g., SHAPE), and zero pronoun resolution demonstrate his focus on both theoretical and practical NLP challenges. While no direct awards or student mentorship data appear in the provided corpus, his extensive publication record (over 20 papers between 2021-2025) underscores significant contributions to NLP education tools , knowledge base integration , and dialogue system consistency . Current projects like ReCall mechanisms and numerical property encoding directions highlight his ongoing impact on model interpretability and reasoning accuracy.

Egor Kostylevمشاهده پروفایل

دانشیار

• Foundations of AI
• Symbolic AI
• Description Logics
• +۹ مورد دیگر

Egor Kostylev serves as an Associate Professor in the Department of Informatics within the Faculty of Mathematics and Natural Sciences at the University of Oslo. His research focuses on the theoretical foundations connecting symbolic and sub-symbolic artificial intelligence, particularly examining relationships between formal logic systems and machine learning approaches. His educational background includes an MSc (Specialist, 2005) and PhD (Candidate, 2009) from Lomonosov Moscow State University under Prof. Vladimir A. Zakharov. He subsequently held research positions at the University of Edinburgh (2010-2013) and the University of Oxford (2013-2020) before joining the University of Oslo in 2020. Kostylev's research interests center on bridging symbolic AI formalisms with sub-symbolic approaches. He investigates connections between various logics (Description Logics, Temporal Logics, Datalog), query languages (SPARQL, Regular Path Queries, OTTR), and machine learning formalisms (Graph Neural Networks, Markov Logic Networks). His work addresses critical challenges in Explainable, Trustworthy, and Green AI through theoretical foundations that connect different AI paradigms. His publication record demonstrates consistent high-impact contributions in theoretical computer science and AI, with numerous publications in top venues including AAAI, LICS, Journal of the ACM, and ICLR. His recent work shows a clear trajectory toward unifying logical reasoning with neural network approaches, particularly through graph neural networks and their connections to logical formalisms. The research spans theoretical foundations of knowledge representation, temporal reasoning in knowledge bases, and the logical expressiveness of modern neural architectures. As a research leader, Kostylev supervises multiple PhD students including Shuwen (Aurora) Liu, Maximilian Pflüger, Roxana Pop, Dongzhuoran Zhou, and Erik Snilsberg. He serves as a Research Theme Leader for the Integreat SFF: Norwegian Centre for Knowledge-driven Machine Learning. His teaching responsibilities include IN3020/4020 Database Systems courses. He leads the Data and Knowledge Management (DKM) research group at the University of Oslo, which focuses on foundational aspects of knowledge representation, database theory, and the intersection with modern machine learning techniques. The group actively collaborates with international researchers and contributes to advancing theoretical understanding of how symbolic and neural approaches to AI can complement each other.

• Natural Language Processing
• Text Simplification
• Emoji Analysis
• +۹ مورد دیگر

Dr Matthew Shardlow is a Reader in the Department of Computing and Mathematics at Manchester Metropolitan University . His career spans teaching and research, with a focus on Natural Language Processing (NLP) and its applications in Text Mining across disciplines like Neuroscience , Chemistry , Finance , and Journalism . He leads the Natural Language Processing Lab , which explores the use of Large Language Models (LLMs) in text-based applications. Key research areas include: Text Simplification : Developing methods to make complex texts accessible. Emoji Analysis : Understanding emoji usage in language and machine interpretation. Text Mining : Applying NLP to diverse fields like healthcare and education. Matthew’s recent publications highlight advancements in LLMs , lexical simplification , biomedical text processing , and AI ethics . He actively mentors BSc , Master’s , and PhD students aligned with his interests and maintains collaborations through the OpenMinTeD project and National Centre for Text Mining . Contact: m.shardlow@mmu.ac.uk .

Jorge E Vinualesمشاهده پروفایل

استاد

• Public International Law
• International Dispute Settlement
• Environmental Law and Policy
• +۵ مورد دیگر

Professor Jorge E. Vinuales holds the Harold Samuel Chair of Law and Environmental Policy at the University of Cambridge and is the founding Director of the Cambridge Centre for Environment, Energy and Natural Resource Governance (C-EENRG). He also serves as a Research Professor of International Law at LUISS, Rome, and holds multiple international roles, including Chairman of the UNECE/WHO-Europe Protocol on Water and Health Compliance Committee and member of ICSID's arbitrator panel. His research spans Public International Law, Environmental Law, Investment Law, and Human Rights , with a focus on energy transitions, climate policy, and sustainability governance. He has published extensively in journals like Nature Climate Change and Global Environmental Change , emphasizing interdisciplinary approaches blending legal theory with climate economics and systems modeling. Vinuales has received the Choice Outstanding Academic Title award for his co-edited volume on the UN Friendly Relations Declaration. His advisory and arbitration practice involves high-profile cases for states, investors, and international organizations, including landmark disputes like Green Power v. Spain . He is a member of the Institut de Droit International and contributes to global policy initiatives through the Hague Academy of International Law and UN courses.

David G. Duffمشاهده پروفایل

استاد

• Tax Law and Policy
• Corporate Taxation
• International Taxation
• +۵ مورد دیگر

David G. Duff is a Professor of Law and Director of the Tax LLM program at the Peter A. Allard School of Law, University of British Columbia. He specializes in tax law and policy, corporate and international taxation, environmental taxation, and distributive justice. Prior to joining UBC in 2009, he was a faculty member at the University of Toronto Faculty of Law and held roles in tax policy analysis with the Ontario Ministry of Finance. He is affiliated with organizations such as the Canadian Tax Foundation and the International Fiscal Association, and has been a visiting scholar at institutions including Oxford University and the Max Planck Institute for Public Finance. Education: B.A., LL.B., M.A., LL.M. Research interests include tax avoidance, statutory interpretation, environmental taxation, and the intersection of tax law with social justice. He has been widely cited by the Supreme Court of Canada, notably in the 2011 SCC 63 decision on the Canadian GAAR. His work explores tax policy's role in addressing inequality and climate change, with a focus on international tax frameworks and Canadian tax law reforms. Publications span over 80 works, including seminal textbooks like *Canadian Income Tax Law* (7th ed., 2023) and *Taxation of Business Organizations in Canada*. His research trends emphasize GAAR interpretations, international tax treaty compliance, and environmental taxation strategies. Notable contributions include analyses of BEPS initiatives, cross-border income taxation, and the principal purpose test in treaty abuse prevention. Scientific Awards: Extensive citations in high-profile court decisions, though no explicit awards listed. Advising and grants: No specific student advisees listed, but his leadership in tax LLM programs suggests extensive teaching and mentorship. Grants and funding details are not detailed in the provided texts. Labs/Teams: Active in the Centre for Business Law at UBC and collaborates with global institutions like the Oxford University Centre for Business Taxation.

Vassilis Christophidesمشاهده پروفایل

استاد

• Databases
• Web Information Systems
• Big Data Processing
• +۹ مورد دیگر

Vassilis Christophides is a Professor of Computer Science at the University of Crete and holds an advanced research position at Inria Paris, where he leads work in the MiMove team. His research spans databases, web information systems, big data processing, and IoT analytics, with a strong emphasis on entity resolution, data integration, and scalable data mining. He has supervised numerous research projects funded by the European Union and the Greek State, and has published over 130 articles in top-tier conferences and journals. Research Interests: His primary research areas include Databases, Web Information Systems, Big Data Processing and Analytics, and Information Systems for the Internet of Things. He also focuses on entity resolution, knowledge graphs, streaming data, and explainable AI, particularly in the context of anomaly detection and fairness-aware data systems. His recent work explores hybrid attention models for entity alignment and causal analysis in time series classification. Recent Research Trends: Analysis of his recent publications (2021–2025) reveals a strong focus on entity resolution with fairness constraints, explainable anomaly detection, and adaptive scheduling in IoT edge analytics. He also investigates deepfake detection, crop type mapping using satellite data, and structural bias in knowledge graphs, demonstrating a broad and impactful research portfolio at the intersection of data management and machine learning. Scientific Awards: 2004 SIGMOD Test of Time Award Best Paper Award, ISWC 2003 Best Paper Award, ISWC 2007 Advising and Grants: While specific student names are not listed in the provided texts, Christophides has co-authored numerous papers with researchers such as Vasilis Efthymiou, Ioannis Tsamardinos, and Nikolaos Myrtakis, suggesting active mentorship. He has been the scientific coordinator of multiple EU and national research projects, indicating substantial grant leadership and project management experience. Labs and Teams: He is affiliated with the MiMove team at Inria Paris, a research group focused on mobility and data-intensive systems. His work bridges academic and applied research, leveraging Inria’s infrastructure for large-scale data experimentation and innovation in IoT and edge computing environments.

Reinier Kraakmanمشاهده پروفایل

استاد

• Business law
• Comparative company law
• Corporate governance
• +۴ مورد دیگر

Reinier Kraakman serves as the Ezra Ripley Thayer Professor of Law at Harvard Law School, Harvard University. A leading authority in corporate law and governance, he has influenced global company law reforms through consultancy with the Bank for International Settlements and advisory roles in Russia and Vietnam. His international engagement includes teaching summer programs in Germany and Japan and holding the Anton Philips Professorship at Tilburg University (2003-2004). His research spans business law, comparative company law, corporate governance, corporate takeovers, limited liability, shareholder-derivative suits, and third-party enforcement strategies. Kraakman's work emphasizes functional and comparative approaches to corporate legal structures across jurisdictions, examining how legal frameworks address agency problems and organizational evolution. Analysis of his publication record reveals consistent focus on foundational corporate law elements, historical development of business organizations, and post-crisis market regulation. His work bridges historical perspectives with contemporary governance challenges, particularly in emerging markets and financial regulatory contexts. Scientific awards and honors include: ECGI Research Associate (2006) Anton Philips Professor at the University of Tilburg (2003-2004) Kraakman co-authored the seminal 'The Anatomy of Corporate Law: A Comparative and Functional Approach' and has advised on corporate governance reforms internationally. His teaching portfolio includes specialized seminars on comparative corporate law for East Asia and Europe at Harvard Law School, contributing significantly to global legal education and policy development.

Kalina Bontchevaمشاهده پروفایل

پژوهشگر

• NLP for social media
• semantic search
• GATE infrastructure
• +۸ مورد دیگر

Kalina Bontcheva is a Senior Researcher in the Natural Language Processing Group within the Department of Computer Science at the University of Sheffield. She holds an EPSRC Career Acceleration Fellowship (working part-time since October 2015) focused on personalized summarization of social media content. Her research spans multiple EU-funded projects including PHEME (computing veracity of social media), TrendMiner, DecarboNet, and uComp, with significant contributions to the GATE (General Architecture for Text Engineering) open-source NLP infrastructure since 1999. Dr. Bontcheva's research interests focus on the intersection of natural language processing and social media analysis. Her work encompasses NLP for social media, semantic search, information extraction from social platforms, crowdsourcing of NLP corpora, collaborative text annotation, semantic technologies, and text mining and analytics. She has particular expertise in developing methods for personalized, abstractive multi-document summarization across different social media platforms, addressing the challenges of noisy, jargon-filled and dynamic content. Her interdisciplinary approach combines machine learning, semantic technologies, and social dimension analysis to create systems that adapt to individual users' information seeking goals. Analysis of her recent publications reveals a strong focus on social media processing challenges, with emphasis on Twitter analysis, temporal expression recognition, and handling noisy text. Her work consistently addresses the unique characteristics of social media content and develops specialized techniques for information extraction, sentiment analysis, and user geolocation within these platforms. The GATE framework serves as the foundation for much of her tool development, demonstrating her commitment to creating reusable, open-source NLP infrastructure. Her most significant award is the EPSRC Career Acceleration Fellowship, which supports her work on personalized social media summarization. This prestigious fellowship includes a substantial budget of £560k and involves collaborations with industry partners including The Press Association, British Telecom, and Fizzback. Dr. Bontcheva has led numerous major research projects throughout her career. She was Principal Investigator on three EU-funded projects (MUSING, TAO, and ServiceFinder) between 2006-2009, coordinating the TAO consortium with seven partner institutions. She currently leads the PHEME EU project and serves as PI for TrendMiner and DecarboNet European projects, while also contributing as Co-I on the uComp project. Her project portfolio demonstrates consistent success in securing competitive research funding across multiple domains within NLP and semantic technologies. She works within the Natural Language Processing Group at the University of Sheffield, which has been central to the development of the GATE infrastructure. Her work connects with various initiatives including the GATE Cloud platform and the TextVRE project for e-humanities textual studies. She has established collaborations with organizations including the Press Association, British Telecom, Oxford Internet Institute, and Sheffield's Department of Journalism to ensure her research addresses real-world needs across different user communities.

Rola El-Husseiniمشاهده پروفایل

دانشیار

• Middle East Studies
• Political Sociology
• Gender and Politics
• +۷ مورد دیگر

Rola El-Husseini is an Associate Professor and Senior Lecturer at Lund University , affiliated with the Department of Political Science and MECW: The Middle East in the Contemporary World . Her work bridges political sociology, gender studies, and Middle Eastern politics. PhD from Ecole des Hautes Etudes en Sciences Sociales (EHESS), Paris (2003) Postdoc at Yale University (2004-2005) Former positions at Texas A&M University , CUNY-Graduate Center , and George Washington University Research Interests: Focuses on Middle Eastern politics , gender dynamics , sectarian conflict , and women's political representation . Current projects include analyzing Arab women's legislative challenges and UN-ESCWA commissioned works . Recent Publications examine topics like Lebanese societal divisions , women in Arab judiciaries , and gender-state conflicts . Her 2012 book Pax Syriana: Elite Politics in Postwar Lebanon remains a seminal work on post-civil war political systems. Scientific Collaborations include projects like SWEMENA and MECW 2.0 , involving 20+ researchers across Sweden, Europe, and the MENA region. She actively participates in public seminars and international conferences . Labs & Networks: Associated with CMES and Mechanical Fingerprint Lab . Leads the Qualitative Methods Lab and contributes to Swedish Middle East Network .

Edoardo Serraمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Cybersecurity
• +۵ مورد دیگر

Edoardo Serra is an Associate Professor in the Department of Computer Science at Boise State University (BSU), a role he has held since July 2021. He previously served as an Assistant Professor at BSU from 2015 to 2021 and holds a joint appointment as a Senior Researcher at Pacific Northwest National Laboratory (PNNL) since June 2021. Since January 2023, he has co-directed the Computing Ph.D. Program at BSU and serves as General Chair of the 2024 ACM CIKM Conference. His academic journey includes a Ph.D. in Computer Science Engineering from the University of Calabria, Italy (2012), followed by postdoctoral positions at the University of Calabria and the University of Maryland. He also served as a Visiting Researcher at UCLA (2010–2011). His research focuses on AI/ML applications in cybersecurity, graph representation learning, generative AI, and robust AI systems. Notable projects include: NSF-funded cybersecurity curriculum integration Department of Defense-funded analysis of terrorist networks Idaho Department of Commerce precision agriculture initiatives Key research areas include graph neural networks, adversarial robustness, and ML-driven security solutions. His work has been recognized with awards such as Best Application Paper (2021) and Best Paper Award (2018). He actively contributes to professional service roles, including program chairs and editorial boards. Current projects emphasize AI ethics, generative models, and scalable graph algorithms. He advises on applied AI consulting for industry and government, focusing on model interpretability and cybersecurity implications.