جستجوی استاد راهنمای دانشگاهی

Nicholas Evans is a Distinguished Professor in the Department of Linguistics at the School of Culture, History & Language, Australian National University. He is an ARC Laureate Fellow and serves as Director of the ARC Centre of Excellence for the Dynamics of Language (CoEDL), reflecting his leadership in integrating typology, descriptive linguistics, and cognitive science. His work spans linguistic diversity, endangered languages, and the interplay between language and culture. His research focuses on Australian and Papuan languages, with extensive fieldwork in remote communities. Key interests include linguistic typology, historical and contact linguistics, semantics, and the cognitive underpinnings of grammar. He has published foundational grammars and dictionaries of Kayardild, Bininj Gun-wok, and Dalabon, contributing significantly to the documentation of endangered languages. His recent publications reveal a strong trend in cross-linguistic studies of social cognition (SCOPIC), syntactic typology, and phylogenetic modeling of the Yam languages. These works integrate linguistic, cognitive, and genetic data, highlighting interdisciplinary approaches to understanding language evolution and human diversity. ARC Laureate Fellow Fellow of the Australian Academy of the Humanities (FAHA) Fellow of the Academy of the Social Sciences in Australia (FASSA) Fellow of the British Academy (FBA) Evans supervises research students and leads major projects such as 'The Wellsprings of Linguistic Diversity' and CoEDL, which involve extensive collaboration across institutions and disciplines. His grants include modeling Pacific creoles and phonemic analysis of Tok Pisin. He is also involved in digital archiving initiatives like PARADISEC and the Language Data Commons of Australia, ensuring long-term preservation of linguistic data. He leads and contributes to research teams focused on Southern New Guinea languages, paradigm syncretisms (PARABANK), and cultural heritage preservation. His work emphasizes reciprocal engagement with speech communities and training the next generation of language documenters.

• Linguistic Typology
• Historical Linguistics
• Contact Linguistics
• +۱۲ مورد دیگر

David Williamson Shaffer is the Sears Bascom Professor of Learning Analytics and Vilas Distinguished Achievement Professor of Learning Sciences at the University of Wisconsin-Madison's Department of Educational Psychology. He is also a Data Philosopher at the Wisconsin Center for Education Research. His work focuses on merging statistical and qualitative methods to model complex human collaboration. Shaffer holds an AB in History and East Asian Studies from Harvard University (1987), and MS/PhD in Media Arts and Sciences from MIT (1996/1998). Before academia, he was a teacher, curriculum developer, and game designer. His research emphasizes Quantitative Ethnography —a methodology combining big data analysis with cultural interpretation. Key contributions include Epistemic Network Analysis (ENA) and over 250 publications, including influential books like How Computer Games Help Children Learn (2006) and Quantitative Ethnography (2017). Awardees of the EU Marie Curie Fellowship (2008) and Spencer Foundation Fellowship (2003), Shaffer's work has been presented globally at conferences like Learning Analytics & Knowledge and Computer Supported Collaborative Learning. His interdisciplinary approach bridges education, data science, and humanities, addressing challenges in authentic STEM experiences, collaborative learning analytics, and culturally responsive pedagogy.

• Learning Analytics
• Learning Sciences
• Quantitative Ethnography
• +۴ مورد دیگر

Anca Dragan is an Associate Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, where she runs the InterACT Lab focused on algorithms for human-AI and human-robot interaction. Currently on leave from Berkeley, she leads AI Safety and Alignment at Google DeepMind, overseeing safety for Gemini models and preparing for future advancements. Dragan has been a co-PI of the Center for Human-Compatible AI and served on the steering committee for the Berkeley AI Research (BAIR) Lab. B.Sc. in Computer Science from Jacobs University Bremen, Germany Ph.D. from Carnegie Mellon University Dr. Dragan's research focuses on enabling AI agents to work effectively with, around, and in support of people. Her work bridges robotics, machine learning, and game theory to create systems that better understand human preferences and coordinate with users. Key areas include AI alignment (ensuring AI does what people actually want), learning reward functions from diverse human feedback forms, and developing algorithms for human-AI collaboration across domains like autonomous vehicles, brain-machine interfaces, and recommender systems. Her research emphasizes maintaining uncertainty about human preferences and accounting for the plurality of human values. Dr. Dragan's recent publications reveal a strong focus on addressing fundamental challenges in AI safety and alignment. Her work spans theoretical foundations of reward learning, practical implementations for human-AI coordination, and critical examinations of limitations in current approaches. There's a clear trajectory toward more robust, safe, and value-aligned AI systems that can handle complex human preferences while avoiding both present-day harms and potential catastrophic risks. IEEE RAS Early Academic Career Award in Robotics and Automation (2021) McEntyre Award for Excellence in Teaching (2020) PECASE (Presidential Early Career Award for Science and Engineering) (2019) Sloan Fellowship (2018) NSF CAREER Award (2017) Okawa Foundation Award (2017) MIT Tech Review 35 Innovators Under 35 (2017) Multiple best paper awards at top robotics and AI conferences Dr. Dragan has mentored numerous successful students who have gone on to faculty positions at MIT, Stanford, CMU, and Princeton, as well as industry roles at DeepMind, Waymo, and Meta. Her advising philosophy emphasizes both technical rigor and consideration of broader societal impacts. She has secured significant research funding including NSF CAREER, ONR Young Investigator, and Okawa Foundation awards, supporting work on human-AI interaction and alignment. Dragan has also consulted for Waymo for six years, helping develop roadmaps for deploying increasingly learning-based safety-critical systems. Dr. Dragan leads the InterACT Lab at UC Berkeley, which has produced influential work on Cooperative Inverse Reinforcement Learning, Inverse Reward Design, and other foundational concepts in human-AI interaction. The lab's research has significantly shaped the field of AI alignment, with applications spanning autonomous vehicles that coordinate with human drivers, brain-machine interfaces that adapt to user needs, and language models that better understand human preferences. Current work focuses on scaling safety approaches as AI capabilities advance, ensuring alignment keeps pace with technological progress.

• Human-AI Interaction
• Human-Robot Interaction
• AI Safety and Alignment
• +۵ مورد دیگر

Andrew Stephen is the L’Oréal Professor of Marketing and Deputy Dean for Faculty and Research at Saïd Business School, University of Oxford. He leads the Marketing faculty and directs the Oxford Future of Marketing Initiative, focusing on emerging technologies like AI and data-driven strategies in marketing, media, and advertising. His research explores digital marketing, consumer behavior, and the impact of new technologies, earning him recognition as a top global marketing scholar. His academic contributions span leading journals such as the Journal of Consumer Research and Harvard Business Review. He serves as editor of the Journal of Consumer Research, co-editor of the International Journal of Research in Marketing, and actively engages with industry through councils like the Mobile Marketing Association’s Brand Safety Council. Teaching responsibilities include marketing curriculum oversight and courses across MBA, Executive MBA, and DPhil programs, focusing on digital transformation, marketing analytics, and the future of marketing. His work bridges academic rigor with industry relevance, addressing challenges in tech-enabled marketing and global brand strategies. Awards: Top marketing academic in the UK (AMA), featured in Poets & Quants’ top 40 under 40, multiple research excellence awards. Labs/Initiatives: Oxford Future of Marketing Initiative, fostering collaborations with leading companies to tackle industry challenges. Grants/Advising: Extensive industry partnerships and academic grants not explicitly detailed in the text.

• Digital Marketing
• Social Media Strategy
• Consumer Behavior
• +۵ مورد دیگر

Andreas Vlachos is a Professor of Natural Language Processing and Machine Learning at the Department of Computer Science and Technology, University of Cambridge, and holds the Dinesh Dhamija Fellowship at Fitzwilliam College. His research spans dialogue modeling, automated fact-checking, imitation learning, semantic parsing, biomedical text mining, and trustworthiness in AI systems. PhD in Computer Science, University of Cambridge (supervised by Ted Briscoe and Zoubin Ghahramani) Lecturer at University of Sheffield Postdoctoral roles at UCL, University of Cambridge (NLIP group, Stephen Clark), and University of Wisconsin-Madison (Mark Craven) Current research focuses on evaluating and mitigating biases in language models, advancing fact-checking methodologies, and improving model robustness through interpolation, reinforcement learning, and causal reasoning. His work integrates natural logic, knowledge graphs, and multimodal evidence for verification tasks. Recent publications address uncertainty quantification, temporal planning benchmarks, and ethical framing of NLP artifacts. Grants from ERC, EPSRC, Facebook, Google, and the Alan Turing Institute fund his research team. Collaborations include Sebastian Riedel, Stephen Clark, and Mark Craven. Key projects explore disinformation detection, long-form generation, and confidence calibration in AI systems.

• Natural Language Processing
• Machine Learning
• Dialogue Modelling
• +۱۰ مورد دیگر

Roberto Navigli is a Full Professor in the Department of Computer, Control and Management Engineering at Sapienza University of Rome, where he leads the Sapienza NLP Group. He has held academic positions at Sapienza since 2007, progressing from Researcher to Associate Professor, and now Full Professor. Navigli is internationally recognized for his groundbreaking work in multilingual natural language processing and computational semantics. His research spans multiple areas within Natural Language Processing, with a particular focus on multilinguality , lexical semantics (Word Sense Disambiguation and induction), sentence-level semantics (Semantic Role Labeling and Semantic Parsing), and Large Language Models . As the leader of the Minerva LLM project, he pioneered the development of the first pretrained LLM in Italian. His creation of BabelNet, the largest multilingual encyclopedic computational dictionary covering 271 languages and about 14 million concepts, represents a landmark achievement in computational linguistics. Professor Navigli's recent publications demonstrate a strong focus on advancing multilingual capabilities of language models, addressing challenges in semantic understanding across languages, and developing robust evaluation frameworks. His work on Italian LLM optimization, lexical ambiguity in machine translation, and cross-lingual safety gaps reflects his commitment to building more accurate and reliable language technologies that work effectively across diverse linguistic contexts. AAAI Fellow (2025) EurAI Fellow (2024) ELLIS Fellow (2024) ACL Fellow (2023) Outstanding Paper Awards at ACL 2024, ACL 2023, and NAACL 2021 Best Resource Paper Award at ACL 2022 Prominent Paper Awards from the Artificial Intelligence Journal (2023, 2017) META Prize 2015 for BabelNet Professor Navigli has successfully secured substantial research funding, including two prestigious ERC Grants (MultiJEDI ERC Starting Grant 2010-2016 and MOUSSE ERC Consolidator Grant 2017-2023, totaling around 3 million euros), PI of PRIN 2017 and PRIN 2020 projects (overall 1.4 million euros), and a Google Focused Research Award (around 300k$). He has mentored over 30 PhD students, many of whom have gone on to successful careers in academia and industry. His leadership extends to major international conferences, serving as General Chair of ACL 2025 and Program Co-Chair of ACL-IJCNLP 2021. As the director of the Sapienza NLP Group and co-leader of the Transversal Project on Large Language/Multimodal Models in the FAIR (Future Artificial Intelligence Research) project, Professor Navigli oversees a vibrant research ecosystem focused on advancing the state-of-the-art in natural language understanding across languages. His spinoff company, Babelscape, translates academic research into practical applications for industry.

• Natural Language Processing
• Multilingual Natural Language Understanding
• Large Language Models
• +۵ مورد دیگر

Sakari Melander is a Professor at the Faculty of Law , University of Helsinki, specializing in Criminal Law , with a focus on constitutionalization, Europeanization, and sentencing policies. His work bridges theoretical criminal law with practical legislative and policy challenges. Key research areas include EU criminal law, constitutional constraints on criminal legislation, and general doctrines of criminal law. He has extensive experience in parliamentary legal consultation, providing expert opinions to Finland’s Legislative Committees (e.g., on immigration control, anti-corruption directives, and digital evidence handling). Recent publications address topics like EU corporate sanction policies, constitutionalization of criminal law, and reforms in Finnish sentencing systems. His 2025 article in the New Journal of European Criminal Law explores balancing administrative and criminal sanctions in the EU. Scientific awards include: Hilkka ja Otto Brusiin Foundation Thesis Prize (2001) Magister Bonus – Good Teacher Award (2014) Primustohtori Award (2010) Year’s Teacher (2010) Year’s Opponent (2008) He leads research projects such as Criminal Law Under Pressure: Differentiation and Harmonization (2012-2015) and Assessment of Human Trafficking Sanction Practices (2021-2022), and supervises doctoral theses on criminal law topics.

• Criminal Law
• EU Criminal Law
• Constitutional Law
• +۴ مورد دیگر

Zizi Papacharissi is a UIC Distinguished Professor of Communication and Political Science at the University of Illinois at Chicago (UIC), serving as Department Head of Communication. She is also a University Scholar and affiliate faculty at the Discovery Partners Institute (University of Illinois System). Her research explores the social and political implications of digital media, with a focus on affective publics, networked identities, and democratic processes. She holds a PhD from the University of Texas at Austin and has authored over 10 books and 80+ journal articles. Education: PhD, University of Texas at Austin (2000) in New Media Technologies and Political Communication MA, Kent State University (1997) in Communication Studies BA, Mount Holyoke College (1995) in Media Studies and Economics Research Interests: Dr. Papacharissi investigates how digital media shape political participation, identity formation, and public discourse. Key areas include affective publics (emotional dimensions of online activism), the role of social media in democracy, and the ethical implications of AI and connective technologies. Her work bridges communication studies, political theory, and sociology. Recent Contributions: Her 2021 book After Democracy explores post-democratic futures in the digital age. She edits Social Media & Society and collaborates with tech firms like Facebook/Meta and Tencent on media ethics and policy. Her research on #Egypt and #OWS movements highlights social media’s role in mobilizing protests. Awards & Recognition: 2018 Wayne Danielson Award (National Communication Association) 2015 Best Book Award (NCA Human Communication and Technology Division) High-Impact Scholar (University of Texas at Austin) Advising & Grants: While no student names are listed, her courses (e.g., Democracy in a Digital Age ) reflect her mentorship in critical media studies. She has secured grants from the National Academies of Science and the Institute of Medicine for projects on youth well-being and digital media. Labs & Teams: Her research lab focuses on digital media’s societal impact, collaborating with global institutions like the Oxford Internet Institute and the Harvard Kennedy School. She chairs UIC’s interdisciplinary Digital Media and Democracy initiative.

• Social Media Studies
• Political Communication
• Digital Democracy
• +۵ مورد دیگر

Andy Pavlo is an Associate Professor with Indefinite Tenure in the Computer Science Department at Carnegie Mellon University's School of Computer Science. He is an active member of the CMU Database Group and the Parallel Data Laboratory, where he leads research in database management systems with a focus on self-driving architectures, transaction processing, and large-scale analytics. His work bridges academic research and industry applications through projects like NoisePage, OtterTune (which he co-founded and served as CEO before it ceased operations), and Peloton. Dr. Pavlo's research interests span database management systems with particular emphasis on autonomous database architectures that can self-tune and optimize without human intervention. His work explores transaction processing systems that can handle high-throughput workloads while maintaining consistency, and large-scale data analytics techniques that efficiently process massive datasets. He has made significant contributions to query optimization, database extensibility, and automatic database tuning using machine learning techniques. His recent work on database extensibility revealed critical issues in PostgreSQL's extension ecosystem, showing that approximately 16% of extensions are incompatible with at least one other extension due to API violations and memory errors. His research output demonstrates a consistent focus on practical database systems challenges, with recent publications examining database extensibility, user-defined function optimization, and the cyclical nature of database research. The articles show a strong trend toward making database systems more autonomous, with increasing integration of machine learning techniques for automatic tuning and optimization. His work often combines deep theoretical analysis with practical implementation in open-source systems. Dijkstra Award 2024 for contributions to database systems research Dr. Pavlo actively mentors graduate students, with current advisees including Wan Shen Lim, William Zhang, and Sam Arch (co-advised with Todd Mowry). His former students have gone on to successful careers in both industry and academia. He has secured significant research funding through CMU's affiliate program with major database companies including ClickHouse, DataStax, dbt, Firebolt, MotherDuck, RelationalAI, SingleStore, Spiral, PingCAP/TiDB, Yellowbrick, and Yugabyte. His research is supported by these industry partnerships and likely includes NSF funding given his active participation in the database research community. At CMU, Dr. Pavlo leads the Database Group and organizes several seminar series including "SQL or Death," "Database Building Blocks," and "ML⇄DB Technical Talks." These seminars bring together researchers and practitioners to discuss cutting-edge developments in database systems. He also runs a summer research internship program that has attracted students for multiple consecutive years, indicating a strong research group with ongoing projects and funding.

• Database Management Systems
• Self-Driving Database Architectures
• Transaction Processing Systems
• +۴ مورد دیگر

Daniel Abadi is the Darnell-Kanal Professor of Computer Science at the University of Maryland, College Park, with an appointment in the University of Maryland Institute for Advanced Computer Studies. He leads the Data Systems Lab at Maryland (DSLAM) and has made significant contributions to database system architecture and implementation, particularly in scalable and distributed systems. Prof. Abadi's research focuses on database system architecture, especially at the intersection with scalable and distributed systems. He is best-known for the development of the storage and query execution engines of the C-Store (column-oriented database) prototype, which was commercialized by Vertica and eventually acquired by Hewlett-Packard, and for his HadoopDB research on fault tolerant scalable analytical database systems which was commercialized by Hadapt and acquired by Teradata. His current work includes deterministic distributed systems like Calvin and SLOG, which provide strictly serializable, low-latency, geographically replicated database transactions. Analysis of his recent publications reveals a strong focus on modern database challenges including transaction processing, distributed systems architecture, data mesh concepts, schema evolution, and IoT data management. His work consistently addresses the tension between consistency, availability, and performance in distributed database systems, with recent emphasis on moving beyond traditional two-phase commit protocols and exploring novel approaches to data architecture like data mesh. ACM Fellow Sloan Research Fellowship Churchill Scholarship NSF CAREER Award VLDB Best Paper Award Two VLDB Test of Time Awards (for C-Store and HadoopDB) 2008 SIGMOD Jim Gray Doctoral Dissertation Award 2013-2014 Yale Provost's Teaching Prize 2013 VLDB Early Career Researcher Award PhD dissertation advisor for Alexander Thomson and Jose Falerio, whose dissertations won SIGMOD Jim Gray Doctoral Dissertation Awards in 2015 and 2020 respectively Prof. Abadi has advised multiple PhD students, including Alexander Thomson and Jose Falerio, both of whom received the prestigious SIGMOD Jim Gray Doctoral Dissertation Award. His research has been supported by numerous grants including NSF funding for projects like SLOG. He maintains an active presence in the database community through his widely-read blog DBMS Musings and through service on program committees for major conferences including SIGMOD, VLDB, and CIDR. He leads the DSLAM research group at the University of Maryland, which focuses on cutting-edge database system research with strong industry connections and practical impact.

• Database System Architecture
• Distributed Database Systems
• Scalable Transaction Processing
• +۳ مورد دیگر

Arvind Karunakaran is an Assistant Professor at Stanford University in the Department of Management Science and Engineering. He holds affiliations with the Center for Work, Technology, and Organization (WTO) , Stanford Technology Ventures Program (STVP) , Stanford Institute for Human-centered Artificial Intelligence (HAI) , and the Digital Economy Lab (DEL) . His research focuses on authority and accountability in the workplace , particularly under technological change and human-AI augmentation. Education: Ph.D. from MIT Sloan School of Management (2018) His work employs ethnographic and field-based methods to study empirical puzzles in workplace dynamics, complemented by comparative-historical analysis and quantitative/textual data analysis . Key research areas include social/algorithmic evaluation of workers , human-AI reskilling , and conflicts in symmetrical relations . Recent publications analyze AI's impact on workplace inequality , platform governance , and crowd-based accountability . His findings are published in top journals like Administrative Science Quarterly and Organization Science . Scientific Awards & Recognitions: Best Published Paper Award (ASA, 2025) Gerard J. Tellis Best Junior Faculty Paper Award (AIM Conference, 2025) W. Richard Scott Article Award (ASA, 2024) Responsible Research in Management Award (RRBM, 2024) Future of Organizations Fellowship (2024) Professor Karunakaran advises doctoral and master's students in areas related to technology and organizations , and teaches courses on organizational behavior , organizational theory , and innovation management .

• Sociology of Work and Occupations/Professions
• Organization Theory
• Technological/Organizational Change
• +۴ مورد دیگر

Erik Bohlin is a Professor at Western University's Ivey Business School in the Business, Economics and Public Policy department. He holds the Ivey Chair in Telecommunication Economics, Policy and Regulation and serves as Editor-in-Chief of Telecommunications Policy . Currently on leave from Chalmers University of Technology, he combines economic theory with telecommunications policy analysis. PhD in Economics of Technology from Chalmers University of Technology (1995) BA in Business Administration and Economics from Stockholm School of Economics (1987) Masters and Bachelor in Theology from Community Chapel College (1984-1985) His research focuses on telecommunications policy, digitalization's socioeconomic impact, broadband regulation, and technology diplomacy. He examines network effects, market entry strategies, and digital infrastructure's role in economic growth. Recent publications analyze 5G regulation, AI's societal impact, digital technology adoption strategies, and broadband's economic effects. These works span telecommunications economics, policy analysis, and technology's macroeconomic influence. Scientific Affiliation : Member of Swedish Royal Academy of Engineering Past Chair of International Telecommunications Society Teaching activities include developing and instructing graduate courses on Digital Strategy and Policy. The Chair receives funding from Ivey Business School, Bell Canada, and TELUS.

• Telecommunications Policy
• Digital Economy
• Regulatory Economics
• +۴ مورد دیگر

Katja Hose is a Full Professor of Data Management at TU Wien's DBAI research unit, heading the Data Management and Knowledge-Driven AI Lab. She previously held a Poul Due Jensen Foundation Professorship at Aalborg University. Her research focuses on data and knowledge engineering, including graph databases, knowledge graphs, querying, analytics, and machine learning, with interdisciplinary applications in bioscience, healthcare, and environmental assessment. Education: PhD in Computer Science (Ilmenau University of Technology, 2009), Postdoc at Max Planck Institute for Informatics (2009–2012). Academic roles include Program Co-Chair for ISWC 2024 and EDBT 2023, and editorial board membership at VLDBJ and TGDK. She leads projects like TARGET (health virtual twins) and ARMADA (data management). Research Interests: Knowledge Graphs, Semantic Web, Big Data, Machine Learning, Data Integration, and Provenance Systems. Key contributions include SHACL shape extraction, conversational data analytics, and environmental knowledge graphs. Awards include the 2025 Distinguished Meta-Reviewer Award and 2024 Manfred Paul Award. Advising and Grants: Supervised students including E. Pürmayr (Diploma Thesis 2025). Active in EU projects (TARGET, ARMADA) and grant coordination. Labs/Teams: DMKI Lab at TU Wien, collaborating with interdisciplinary teams in healthcare and environmental science.

• Knowledge Graphs
• Semantic Web
• Data Management
• +۷ مورد دیگر

Gyu Tag Lee is a Professor in the International Studies Department at George Mason University Korea, specializing in Cultural Studies with a focus on K-Pop, media criticism, and the globalization of culture. He holds a PhD in Cultural Studies from George Mason University (2013), an MA in Communication from Seoul National University, and a BA in English Language and Literature from the same institution. Having completed three years of military service in the Republic of Korea Air Force, he has been teaching at George Mason University Korea since 2014. His research interests span Cultural Studies, Media Criticism, Popular Music, K-Pop and Hallyu, Globalization of Culture, and Music Industry studies. Professor Lee is particularly recognized for his expertise on K-Pop's global expansion, cultural appropriation issues within the industry, and the relationship between Korean cultural identity and global pop music markets. His extensive publications reflect a consistent focus on K-Pop's evolution, from its historical roots to contemporary challenges and future directions. His work examines the tension between local Korean identity and global appeal, the role of digital platforms in fan engagement, and the cultural politics surrounding K-Pop's international success. Professor Lee's research demonstrates how K-Pop functions as both a cultural product and economic phenomenon with significant implications for understanding transnational cultural flows. As a respected commentator in the field, he serves on the selection committee for the Korean Music Awards and has been featured in numerous international media outlets including Wall Street Journal, South China Morning Post, Netflix's documentary Explained, and major Korean broadcasters such as KBS, MBC, and SBS. His insights on cultural appropriation in K-Pop have been particularly influential in shaping discussions about cultural sensitivity and global cultural exchange. Professor Lee teaches courses including Media Criticism, Globalization and Culture, K-Pop, Hallyu, and Korean Society, and Korean Popular Culture in a Global World, bringing his scholarly expertise directly into the classroom to educate the next generation of cultural critics and analysts.

• Cultural Studies
• Media Criticism
• Popular Music
• +۵ مورد دیگر

Dr. Carola Weil serves as Dean of McGill University's School of Continuing Studies and Associate Professor in the Department of Political Science since July 2018, following leadership roles as founding Dean at American University and Senior Associate Dean at USC's Annenberg School. Her educational background includes: Post-Doctoral Fellowship, University of Southern California School of International Service Post-Doctoral Fellowship, Harvard University John F. Kennedy School of Government Belfer Center Ph.D. and M.A. in Political Science, University of Maryland Master of Public Management, University of Maryland B.A. in History (Minor in Politics), Bryn Mawr College Dr. Weil's research centers on human security, migration, and conflict transformation with specialized expertise in gender dynamics in international relations and public diplomacy . Her work bridges policy analysis and practical applications in humanitarian intervention, while her recent focus explores lifelong learning systems and the impact of digital technologies on adult education , addressing evolving workforce demands through innovative educational frameworks. Her publication trajectory reveals a strategic evolution from foundational work on women in international security (1990s) to contemporary analyses of digital media diversity and global communication challenges in higher education. Early scholarship examined military intervention dilemmas in humanitarian crises, later pivoting toward systemic analyses of information ecosystems and educational accessibility in the digital age. Dr. Weil co-founded Women In International Security (WIIS) and serves on multiple non-profit boards, leveraging her dual German-American citizenship and multilingual capabilities to advance organizational development initiatives. Her peacebuilding consultancy spans Pakistan, Afghanistan, Darfur, Colombia, and the African Great Lakes region with specific attention to gender-inclusive journalism practices. Her leadership extends to advising on global strategy for technology-enhanced education and future workforce development, though no formal student advisement lists or grant details appear in the source material.

• International Relations
• Human Security
• Migration
• +۸ مورد دیگر