جستجوی استاد راهنمای دانشگاهی

Antoine Bosselutمشاهده پروفایل

استادیار

• Natural Language Processing
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Antoine Bosselut is a Tenure Track Assistant Professor at École Polytechnique Fédérale de Lausanne (EPFL) in the School of Computer and Communication Sciences, where he leads the EPFL NLP group. His research focuses on developing AI reasoning agents that can model, represent, and reason about human and world knowledge, with applications in health, education, and global fairness. His research interests span multiple critical areas in modern AI: LLM Representations of Knowledge: Understanding what language models know and how they represent that knowledge internally Reasoning Algorithms: Developing methods to improve LLMs' reasoning capabilities through symbolic systems, neuroscience, and cognitive science Large-scale AI Development: Creating open-source foundation models with multilingual capabilities AI Democratization: Ensuring equitable access to AI technologies across different cultural and regulatory contexts His recent publications reveal a strong focus on the intersection of language models and cognitive science, with multiple studies examining how LLMs align with human cognition. He's also deeply engaged in practical applications of NLP technology, particularly in education and multilingual settings, as evidenced by his work on evaluating AI's impact on higher education and developing culturally-aware language models. His scientific achievements have been recognized with several prestigious awards: Outstanding Paper Award at NAACL 2025 ELLIS Scholar designation in 2024 Outstanding Paper Award at ACL 2023 Inclusion in Forbes 30 Under 30 list for Science & Healthcare in 2021 Bosselut actively mentors numerous PhD students across diverse NLP research areas and has secured significant recognition for his work in both academic and media circles. His lab has been featured in major publications including Communications of the ACM, The Atlantic, and Quanta Magazine, highlighting the societal impact of his research on commonsense reasoning and AI capabilities.

Arvind Parkheمشاهده پروفایل

استاد

• Global Supply Chains
• Strategic Alliances
• International Joint Ventures
• +۶ مورد دیگر

Arvind Parkhe is a Laura H. Carnell Professor of Strategy and International Business at Temple University’s Fox School of Business. He previously taught at Indiana University’s Kelley School of Business (1989–2003) and holds degrees from IIT Bombay (B.Tech.), Georgia State University (MBA), and Temple University (Ph.D.). His research focuses on strategic alliances, global supply chains, international joint ventures, and trust in cross-border partnerships. He has published in top journals like the Academy of Management Journal and Strategic Management Journal, earning awards such as the AIB Best Dissertation Award (1990) and JIBS Decade Award (2001). Teaching excellence spans all academic levels: recognized as outstanding faculty for Ph.D., MBA, and undergraduate programs. Service leadership includes Vice President of the Consortium for Undergraduate International Business Education (2014), Chair of Fox’s Strategic Management Department (2010–2020), and Managing Director of Fox MBA Programs (2005–2010). He received Temple’s Musser Outstanding Service Award (2012) and Faculty Service Excellence Award (2012). Key research contributions emphasize interorganizational networks, global competitive strategies, and trust mechanisms in alliances. His work bridges theory and practice, addressing challenges in global business operations and strategic collaboration.

Hutan Ashrafianمشاهده پروفایل

استاد

• Artificial Intelligence in Medicine
• Metabolic Surgery
• Health Policy
• +۴ مورد دیگر

Professor Hutan Ashrafian is a clinician-scientist and surgeon at the University of Leeds Business School, holding dual roles as Professor of Research Impact and Senior Research Fellow at Imperial College London. His expertise spans AI in healthcare, metabolic surgery, and ancient history. He pioneered STARD-AI and QUADAS-AI guidelines for AI diagnostics, collaborated on AI-driven breast cancer screening with Google and NHS, and led global health policy initiatives. Ashrafian’s work bridges medicine, history, and philosophy, including his contributions to understanding historical figures’ medical conditions, such as King Tutankhamun’s epilepsy. He has authored over 550 publications, 12 books, and holds a PhD in computational physiology and an MBA with distinction. Awards include the Hunterian Prize and Wellcome Trust Fellowship. His research also explores AI ethics, quantum physics paradoxes, and art-based medical diagnostics. Education: PhD in Computational Physiology (Imperial College London) MBA (Warwick Business School) MD (University College London) Bachelor of Science in Immunology (University College London) Research Interests: Ashrafian’s work spans: AI in Medicine: Diagnostic algorithms, guideline development (STARD-AI/QUADAS-AI), and ethical frameworks. Metabolic Surgery: Bariatric interventions, gut microbiome, and obesity treatments. Ancient History: Medical analyses of historical figures (e.g., Tutankhamun, Julius Caesar) and art-based pathology identification. Philosophy: AI rights (AIONAI law), temporal paradoxes, and the Simulation Argument. Awards: Royal College of Surgeons Arris and Gale Lectureship Hunterian Prize Wellcome Trust Research Fellowship Advising & Innovation: Supervised >50 PhD students, co-founded Oxford Medical Products (weight loss tech), and serves as CSO at Flagship Pioneering’s Preemptive Health division. He advises on NHS digital transformation and global health policy. Labs/Teams: Leads AI initiatives at Imperial’s Institute of Global Health Innovation and collaborates with Google, NICE, and international institutions on health tech solutions.

• Linguistics
• Descriptive Linguistics
• Documentary Linguistics
• +۷ مورد دیگر

Mark Post is a Senior Lecturer and Honours Coordinator in the Discipline of Linguistics at the Faculty of Arts and Social Sciences, The University of Sydney. He also serves as Deputy Head of School (Humanities) and is affiliated with the China Studies Centre, Sydney Southeast Asia Centre, and The Vere Gordon Childe Centre. His educational background includes a BA Hons from Wesleyan University, an MA from the University of Oregon, and a PhD from La Trobe University. Dr. Post's research focuses on describing and explaining the typologies and relationships among Greater Mainland Southeast Asian and Himalayan languages. His descriptive work relies exclusively on primary field data, with interests in improving fieldwork methodologies. He approaches linguistic explanation from a functional-diachronic perspective, viewing language as a dynamic process whose structures emerge from patterns of discourse and interaction. His extensive publication record reveals a strong focus on Eastern Himalayan languages, particularly Tani languages, with research spanning linguistic typology, historical linguistics, and language documentation. Key themes include classifiers, deixis, applicatives, and the ethnolinguistic prehistory of the Eastern Himalaya across more than 50 publications since 2004. His notable recognition includes: 2011 Recipient of the Association for Linguistic Typology's Pāṇini Award Dr. Post has supervised research students including Chintan SHETH on ethno-linguistic prehistory in the Eastern Himalaya. His grant history includes significant projects such as 'Pseudo grains and adaptiveness in the Eastern Himalayas' (ARC, 2023), 'Center for Cultural Linguistic Diversity - Eastern Himalayas' (Firebird Foundation, 2022), and 'A Documentation of the Upper Belt variety of Minyong (Adi)' (Endangered Languages Documentation Programme). He is a life member of the Galo Language Development Committee (Arunachal Pradesh, India) and actively participates in the Association for Linguistic Typology, Australian Linguistic Society, and North East Indian Linguistics Society.

• Ancient Philosophy
• Neoplatonism
• History of Philosophy
• +۴ مورد دیگر

Pieter d'Hoine serves as Professor and Vice Dean of Education at KU Leuven's Higher Institute for Philosophy. He is affiliated with the Wulf Mansion Centre for Ancient, Medieval and Renaissance Philosophy and LECTIO – KU Leuven Institute for the Study of Textual Transmission. Additional institutional roles include membership on the Board of the Institute for Living Languages, HIW Faculty Council, and Philosophy Program Oversight Committees. His research centers on Ancient Philosophy with emphasis on Neoplatonism, particularly Proclean metaphysics, logical structures in Platonic/Aristotelian commentaries, and mechanisms of philosophical canon formation. He investigates knowledge transmission from Greek-Roman antiquity through medieval and Renaissance scholarship, integrating digital humanities methodologies to analyze textual evolution and conceptual continuity across historical periods. Recent publications (2024) exhibit concentrated focus on Proclus' metaphysical frameworks, including predication theory, modes of being, and theological elements within Platonic exegesis. His work bridges textual criticism with systematic philosophy, examining how ancient commentators shaped enduring philosophical paradigms through citation practices and logical innovation in works like the Elements of Theology . No major scientific awards are documented in the provided materials. He actively supervises doctoral research, including G.J. Ruz Troncoso's analysis of Proclus' argumentative structures and S-H. Yang's study of Aristotelian metaphysics. Current funding supports eight major projects: "Een nieuw model voor de editie van antieke filosofische fragmenten" (2025-2031) as Co-promotor "De filosofische canon en de citaties van Plato en Aristoteles" (2024-2028) as Promotor "Rechtvaardigheid voor dieren" (Justice for Animals, 2024-2028) as Promotor "De mechanica van Canonvorming" (Canon Formation Mechanics, 2024-2028) as Promotor His research ecosystem operates through the Wulf Mansion Centre and LECTIO institute, which coordinate international collaborations on premodern textual transmission, utilizing digital tools to map philosophical concept evolution across millennia.

Kevin D. Ashleyمشاهده پروفایل

استاد

• Computational Social Science
• Artificial Intelligence
• Algorithms
• +۷ مورد دیگر

Kevin D. Ashley is a Professor of Law at the University of Pittsburgh School of Law. He is also a senior scientist at the Learning Research and Development Center and an adjunct professor of computer science at the University of Pittsburgh. His interdisciplinary work bridges artificial intelligence, legal analytics, and ethical reasoning. JD, Harvard Law School M.A. and PhD, University of Massachusetts BA, Princeton University His research focuses on computational modeling of legal reasoning , AI and ethics , legal text analytics , and case-based reasoning . He has pioneered AI applications for legal decision support, automated argumentation, and bias detection in legal corpora. Recent publications include studies on large language models in legal annotation, argument mining, and empirical legal analysis. His work has been supported by multiple National Science Foundation grants, emphasizing fairness in AI and access to justice. 2022 Codex Prize for Computational Law 2015 University of Massachusetts Outstanding Achievement Award 2002 AAAI Fellow for AI in Law contributions 2000 Chancellor’s Distinguished Research Award A former President of the International Association for Artificial Intelligence and Law, Ashley has held visiting roles at the University of Bologna, Stanford CodeX, and IBM Watson Research Center. He co-edits the journal Artificial Intelligence and Law and teaches courses on applied legal analytics.

• modality
• philosophy of religion
• philosophical logic
• +۲ مورد دیگر

Professor Scott A. Shalkowski is a faculty member in the Department of Philosophy at the University of Leeds, part of the School of Philosophy, Religion and History of Science. He holds the academic rank of Professor and specializes in modality, philosophy of religion, philosophical logic, and the epistemology of religious belief. His work bridges metaphysics, epistemology, and the philosophy of religion, with a focus on modal epistemology and theoretical virtues. Education: PhD in Philosophy, University of Michigan BA in Philosophy, Houghton College Research Interests: Shalkowski’s research explores modal epistemology, method in metaphysics, mathematical nominalism, and the epistemology of religious belief. He has contributed to debates on logical pluralism, modal realism, and the relationship between science and religion. Publications: His work spans topics like modal logic, theoretical virtues, and metaphysical frameworks. Notable articles include Modal Epistemology for Modalists (2023) and Modalism and Logical Pluralism (2009). His research often emphasizes empirical grounding in philosophical theorizing. Awards: Shalkowski has received awards from the National Endowment for the Humanities, Australian Research Council, and British Academy. He was also nominated for an Excellence in Teaching Award. Grants & Labs: His research has been supported by grants from major funding bodies. He contributes to interdisciplinary discussions through his work in the Centre for Philosophy of Religion and Theology and the Centre for Theoretical Philosophy at Leeds.

Oana Cocarascuمشاهده پروفایل

مدرس ارشد

• Argument mining
• Explainable AI
• Machine learning
• +۵ مورد دیگر

Dr. Oana Cocarascu is a Senior Lecturer in Artificial Intelligence at the Department of Informatics, Faculty of Natural, Mathematical & Engineering Sciences, King's College London. She holds a PhD and MEng in Computing (Artificial Intelligence) from Imperial College London and conducts applied research focusing on how artificial intelligence can be deployed to support real-world applications, with machine learning and natural language processing as core components of her work. Her research interests span argument mining, explainable AI, machine learning, natural language processing, and symbolic reasoning. She is particularly focused on developing AI systems that can provide transparent, accountable, and ethical decision-making processes. Her work addresses critical challenges in bias mitigation, fairness metrics, fact verification systems, and argumentation-based explanations for complex AI decisions. Analysis of her recent publications (2023-2025) reveals a strong focus on fairness in AI systems, with particular attention to individual fairness metrics and nuanced evaluation frameworks. She has made significant contributions to fact verification systems, especially in multimodal contexts involving charts and tabular data. Her work increasingly integrates argumentation theory with natural language processing to create explainable AI systems that can justify their decisions through structured reasoning. Dr. Cocarascu leads an EPSRC-funded project titled 'A framework for evaluating and explaining the robustness of NLP models' (2024-2027) and is actively involved in the Natural Language Processing Group at KCL. Her research fingerprint shows strong activity in argumentation (100%), decision-making (74%), artificial intelligence (50%), explainable AI (39%), and bias mitigation (35%). She has contributed to numerous high-impact publications in top venues including ACL, EMNLP, AAAI, and the Journal of Artificial Intelligence Research, with a particular focus on making AI systems more transparent, accountable, and aligned with human values. Her work intersects with UN Sustainable Development Goals, particularly those related to reducing inequality and building resilient infrastructure.

Simon Buckingham Shumمشاهده پروفایل

استاد

• Human-Computer Interaction
• Educational Technology
• Learning Analytics
• +۵ مورد دیگر

Professor Simon Buckingham Shum is a leading academic in Learning Informatics at the University of Technology Sydney (UTS), serving as inaugural Director of the Connected Intelligence Centre since 2014. His work bridges Human-Computer Interaction, Educational Technology, and Learning Analytics to develop AI-driven tools like OnTask that enhance student belonging through personalized feedback. Key research areas: Human-Computer Interaction, Learning Analytics, AI in Education, Collective Intelligence Recent work focuses: LLM-augmented qualitative analysis, Belonging Analytics frameworks, and ethical AI implementation in education CIC received the 2024 Vice-Chancellor’s Student Experience Award for scaling OnTask across multiple faculties. His contributions span over 30 years, including founding roles at The Open University’s Knowledge Media Institute and innovations in Open Educational Resources (OER), SocialLearn, and FutureLearn platforms. Notable awards: 2024 Student Experience Award (OnTask), Fellow of the Royal Society of Arts (RSA), DEFI STRI Researcher at University of Cambridge Education: B.Sc. in Psychology (York), M.Sc. in Ergonomics (UCL), PhD in Human-Computer Interaction (York) He leads multidisciplinary collaborations with teams across Business, Law, and Education faculties, pioneering tools like Theme Explorer and Qreframer bot. His recent focus on the "metacrisis" reframes educational technology’s role in addressing global systemic challenges through transdisciplinary approaches.

Amy Bruckmanمشاهده پروفایل

استاد

• Social Computing
• Online Collaboration
• Content Moderation
• +۳ مورد دیگر

Amy Bruckman is a Regents’ Professor and Senior Associate Chair in the School of Interactive Computing at Georgia Institute of Technology. As a Fellow of The ACM and member of the SIGCHI Academy , she contributes to social computing research focusing on online collaboration, cross-cultural understanding, and content moderation. Her 2022 book "Should You Believe Wikipedia? Online Communities and the Construction of Knowledge" explores digital knowledge creation. Education: Ph.D. from MIT Media Lab (1997), B.A. in Physics from Harvard (1987) Research Affiliations: GVU Center, IRI People and Technology Her work addresses social computing challenges including: AI ethics in human-AI interaction Algorithmic bias in content moderation Epistemic justice in online communities Comparative platform analysis (Reddit, Discord, TikTok) Grassroots technology movements Recent publications examine: AI support tools for online counseling Community-driven research frameworks Racial bias mitigation in toxic language detection Designing teachable social media experiences Human trafficking intervention ethics Scientific recognition includes: ACM Fellowship SIGCHI Academy membership She has contributed to: Georgia Tech's Computing Education initiatives Research ethics frameworks for Human-Computer Interaction

Nils Fleischhackerمشاهده پروفایل

استادیار

• Cryptography
• Theoretical Computer Science
• Zero-Knowledge Proofs
• +۵ مورد دیگر

Nils Fleischhacker is an Assistant Professor for Cryptography at Ruhr University Bochum, where he leads the Theoretical Cryptography group within the Faculty of Computer Science. His research focuses on foundational aspects of cryptography with particular emphasis on zero-knowledge proofs, digital signatures, and secure computation. Prior to joining Ruhr University, he held postdoctoral positions at Johns Hopkins University and Carnegie Mellon University. Dr. Fleischhacker received his PhD in Computer Science from Saarland University in February 2017, advised by Dominique Schröder. During his doctoral studies, he was a research intern at Microsoft Research with Chris Brzuska and a research visitor at the University of Maryland, College Park with Jonathan Katz and Dana Dachman-Soled. His research spans theoretical cryptography with significant contributions to zero-knowledge proofs, multi-signature schemes, property-preserving hash functions, and security proofs for cryptographic primitives. Fleischhacker's work often addresses fundamental questions about the limits and possibilities of cryptographic constructions, with particular attention to black-box separations and lower bounds. His recent publications demonstrate a strong focus on lattice-based cryptography and post-quantum secure protocols. Fleischhacker's publications over the past five years reveal a consistent research trajectory focused on improving the efficiency and security of cryptographic primitives, with particular emphasis on signature schemes, zero-knowledge protocols, and secure computation frameworks. His work frequently appears in top-tier cryptography venues including CRYPTO, EUROCRYPT, and CCS. Dr. Fleischhacker actively mentors PhD students, with numerous successful graduations spanning from 2010 to 2024. His former PhD students include Önder Askin (2024), Floyd Zweydinger (2023), and Lars Schlieper (2022), among others. His research is supported through various academic channels and collaborations. He is affiliated with several prominent research organizations including the Horst Görtz Institute (HGI) for Information Security, the DFG Excellence Cluster CASA, the EU Marie Curie Network QSI, and the International Association for Cryptologic Research (IACR). These affiliations provide a strong institutional framework for his theoretical cryptography research.

Anna Bergeمشاهده پروفایل

استاد

• Eskimo-Aleut Linguistics
• Language Documentation
• Language Contact in Prehistory
• +۳ مورد دیگر

Anna Berge is a Professor of Linguistics at the University of Alaska Fairbanks, directing the Alaska Native Language Archive. She holds a PhD from the University of California, Berkeley (1997), specializing in the documentation, description, and historical analysis of Eskimo-Aleut languages, particularly Unangam Tunuu (Aleut). Her research integrates linguistics with archaeology, genetics, and environmental studies to explore prehistoric language contact and divergence patterns along the North Pacific Coast. Her work focuses on morphosyntax, discourse analysis, and language revitalization for highly endangered languages. She teaches courses in Morphology, Field Methods, Community Language Documentation, and Eskimo-Aleut Linguistics, emphasizing practical skills for language preservation. Berge's multidisciplinary approach addresses Aleut language divergence from Eskimoan branches, leveraging data from multiple disciplines to reconstruct linguistic prehistory. She actively collaborates with Indigenous communities in Russia, Alaska, Canada, and Greenland to archive linguistic materials and support language maintenance initiatives.

Charalampos Papamanthouمشاهده پروفایل

دانشیار

• Computer Security
• Applied Cryptography
• Verifiable Computations
• +۵ مورد دیگر

Charalampos Papamanthou is an Associate Professor of Computer Science at Yale University, where he also serves as Co-director of the Yale Applied Cryptography Laboratory and a member of the Yale Institute for Foundations of Data Science. He holds affiliations with the Yale Center for Algorithms, Data, and Market Design. Additionally, he is Chief Scientist at Lagrange Labs. His research focuses on computer security and applied cryptography, particularly verifiable and privacy-preserving computations, leakage-abuse attacks on searchable encryption, and scalable blockchains/cryptocurrencies. He has advised numerous students and postdocs, and his work is supported by NSF, Protocol Labs, and JP Morgan. Research Interests: His primary areas include cryptographic protocols, privacy-preserving systems, blockchain infrastructure, secure cloud computing, and distributed consensus mechanisms. He has pioneered advancements in zero-knowledge proofs, private information retrieval, and dynamic searchable encryption. Awards: He has received prestigious awards such as the CCS Test-of-Time Award (2022), JP Morgan Faculty Research Award (2022), and NSF CAREER Award (2017). His contributions span over 140 publications in top venues like CRYPTO, CCS, and SODA. Teaching: He has taught advanced courses in cryptography, algorithms, and computer systems security at Yale and previously at the University of Maryland and Brown University. Recently, he chairs Yale’s PhD admissions in Computer Science. Labs & Teams: Leads the Yale Applied Cryptography Lab, focusing on real-world applications of cryptographic research. Collaborates with industry partners like Lagrange Labs to develop privacy-preserving technologies.

• Quantum-safe cryptography
• Lattice-Based Cryptography
• Post-Quantum Cryptography
• +۴ مورد دیگر

Ron Steinfeld is an Associate Professor in the Department of Software Systems & Cybersecurity at Monash University, Australia. He holds editorial roles in Designs Codes and Cryptography (since 2017) and has served on technical committees for top-tier conferences like ASIACRYPT, CRYPTO, and EUROCRYPT. His research focuses on quantum-safe cryptography, lattice-based cryptography, and blockchain security, with over 80 refereed publications and AUD$4M+ in research funding. Education: BSc Mathematics and Physics (Monash University, 1998) BE (Hons., First Class) Electrical and Computer Systems (Monash University, 2000) PhD Computer Science (Monash University, 2003) Research Interests: Design and analysis of cryptographic algorithms, quantum-safe protocols, lattice-based security foundations, and blockchain applications. His work underpins NIST standard algorithms like Kyber and Dilithium through structured lattice problem research. Recent Articles Trends: Focus on privacy-preserving blockchain protocols, post-quantum signature schemes, encrypted data search, and cryptographic applications in adversarial AI. Recent work includes fair Bitcoin watchtower schemes and genomic database privacy solutions. Awards: ASIACRYPT 2015 Best Paper Award Advising & Grants: Supervises PhD projects on quantum-safe cryptography and blockchain security. Leads initiatives like the AUD$4M ARC-funded Quantum Information Technology project. Collaborates with industry partners including CSIRO/Data61. Labs/Teams: Key contributor to Monash’s cybersecurity and cryptography research groups, involving interdisciplinary projects on materials discovery ( Æinstein initiative) and post-quantum blockchain security.

• Logic
• Philosophy of Artificial Intelligence
• Non-Standard Logics
• +۳ مورد دیگر

Fabio Aurelio D'Asaro is a Researcher at the Department of Human Sciences , University of Verona. His research focuses on Logic , Non-Standard Logics (non-monotonic, paraconsistent, modal, and probabilistic reasoning), and Explainable AI , with interdisciplinary connections to Philosophy of Science and Computational Epistemology . He explores how transparent AI systems can enhance trust, reliability, and ethical considerations in human-machine interactions, addressing topics like autonomy, control, and moral responsibility. D'Asaro is involved in international collaborations with institutions such as UCL KIDS , Imperial SPIKE , and LUCI Unimi . He also serves as an editor and organizer for journals and conferences on Explainable AI , AI Ethics , and Formal Argumentation . Research Grants : Development of Artificial Intelligence methods to support insurance policy sales (2022–2025) Scientific Awards : Premio italiano di Pedagogia 2025 (SIPED prize) for the book Il feedback a scuola. Strategie per promuovere l'apprendimento Teaching Roles : Big data epistemology (Master's Degree in Data Science) Computational epistemology and philosophy (Master's Degree in Artificial Intelligence) Logic and philosophy of science (Bachelor's Degree in Philosophy) Clinical logic and philosophy of science in physiotherapy (Bachelor's Degree in Physiotherapy programs across Vicenza, Rovereto, and Verona) Committee Memberships : ETHICS COMMITTEE – Human Sciences Research Policy Committee Seminar and Publications Committee