جستجوی استاد راهنمای دانشگاهی

Andrew Stephenمشاهده پروفایل

استاد

• Digital Marketing
• Social Media Strategy
• Consumer Behavior
• +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.

Xavier Serraمشاهده پروفایل

استاد

• Audio Signal Processing
• Sound and Music Computing
• Music Information Retrieval
• +۵ مورد دیگر

Xavier Serra is a Full Professor at the Department of Engineering at Universitat Pompeu Fabra (UPF), Barcelona. He is the founder and director of the Music Technology Group (MTG), and leads the UPF-BMAT Chair on AI and Music. He also coordinates the Master in Sound and Music Computing and serves as President of the Phonos Foundation. His research focuses on audio signal processing, sound and music computing, and computational musicology, emphasizing open science and open innovation. Education: BSc in Biology, University of Barcelona (1981) Master in Music, Florida State University (1983) PhD in Computer Music, Stanford University (1989) Research Interests: Audio Signal Processing Data-Driven and Knowledge-Driven Methodologies Music Information Retrieval Cultural Music Analysis (e.g., Carnatic/Turkish/Andalusian Music) Music Education Technology Notable Projects: CompMusic (ERC Advanced Grant, 2010-2017): Multicultural computational music analysis Open datasets: Freesound, Saraga, FSD50K Technologies: Reactable, Vocaloid, Essentia API Recent Trends in Articles: Focus on AI-driven audio processing (neural fingerprints, generative models), cross-cultural music analysis, and explainable music difficulty estimation. Awards: ERC Advanced Grant (2010) for CompMusic Project. Labs/Teams: Director of MTG, Phonos Foundation, and UPF-BMAT Chair. Active in open-source projects and international collaborations.

John Gallagherمشاهده پروفایل

دانشیار

• Digital Writing
• Audience Analysis
• AI Communication
• +۱ مورد دیگر

John Gallagher is Associate Professor in English and Information Sciences at UIUC. His research examines how writers adapt to participatory audiences in digital environments, including social media interactions and AI writing tools. Using case studies and computational methods, he explores algorithmic audiences, ethical implications of AI, and technical communication in institutional contexts. He teaches courses in professional writing, digital rhetoric, and research methodologies. Recent projects analyze content creators' narratives about platform algorithms, inclusive emoji design, and academic integrity challenges posed by generative AI.

• Medical Informatics
• Artificial Intelligence in Healthcare
• Healthcare Data Integration
• +۷ مورد دیگر

Prof. Martin Boeker is a Professor of Medical Informatics at the Technical University of Munich (TUM), affiliated with the TUM School of Medicine and Health. His work focuses on advancing healthcare through AI-driven solutions, interoperability frameworks, and precision medicine initiatives. Key projects include the German Medical Text Corpus (GeMTeX) and the MIRACUM DIFUTURE Alignment Hub. Expertise: Medical Informatics, AI in Healthcare, Federated Learning, Health Data Integration Key Contributions: FHIR-based systems, clinical decision support, patient-centered outcomes research Leadership: Director of the Institute for AI and Informatics in Medicine at TUM Hospital Right of the Isar Research emphasizes bridging clinical practice and data science through projects like modular health crawlers, automated guideline adherence monitoring, and cross-institutional medical NLP solutions. His work spans oncology informatics, rare disease management, and pandemic response data ecosystems. Recent articles highlight innovations in digital twins for precision oncology, federated analysis in oncology, and German-language medical NLP challenges. He collaborates internationally on EHR standardization and healthcare interoperability, contributing to the Medical Informatics Initiative (MII) and pandemic evidence ecosystems. Grants and collaborations involve the German Federal Ministry of Education and Research, European initiatives, and industry partnerships. Educational efforts focus on training future medical informatics professionals through MII competency programs.

Jens Foerdererمشاهده پروفایل

استاد

• Economics of Information Systems
• Digital Markets
• Digital Transformation
• +۴ مورد دیگر

Jens Foerderer is a Professor at the Technical University of Munich (TUM) School of Management, holding the Professorship for Innovation and Digitalization. His research focuses on the economics of information systems, competition in digital markets, and quantifying the business value of digital technologies. University of Mannheim - B.Sc. (2011), M.Sc. (2013), Ph.D. (2017) Visiting Research Fellow, University of Oxford, Oxford Internet Institute (2023) Key research areas include: Digital transformation metrics and measurement frameworks Competition dynamics in platform ecosystems Web scraping and data-driven analysis of digital markets Econometric methods for causal inference in digital contexts Enterprise software platform governance Impact of platform owner strategies on innovation Recent publications analyze: Causal effects of platform governance in digital ecosystems Competitive interactions in platform markets Timing dynamics in data breach disclosures Knowledge boundaries in enterprise software development Platform award mechanisms and their innovation impacts

Marta Severoمشاهده پروفایل

مدرس

• Cultural Heritage
• Digital Humanities
• Intangible Cultural Heritage
• +۶ مورد دیگر

Marta Severo is a Lecturer at University of Paris Nanterre in the Department of Information, Communication, Digital Media within the Faculty of Humanities and Social Sciences. She also maintains significant research affiliations with University of Lille where she has directed multiple projects including the PEPS Digital Routes Project (2015-2016). Her academic profile is characterized by interdisciplinary research at the intersection of digital technologies and cultural heritage. Her research focuses on digital representations of cultural heritage, particularly intangible cultural heritage (ICH) and cultural itineraries like the Via Francigena. She investigates how digital methods can be used to study, represent, and safeguard cultural heritage through social media analysis, network mapping, and participatory platforms. Her work examines the relationship between amateurs and institutions in knowledge production, with special attention to Wikipedia as a citizen science tool. Her publication portfolio demonstrates consistent scholarly output with significant contributions to understanding digital representations of cultural routes, stakeholder networks along heritage paths, and participatory approaches to cultural heritage management. Her research shows a clear trajectory from methodological development in digital humanities to applied studies of specific heritage contexts. Humboldt Research Fellowship for Experienced Researchers (2023-2025) for project on ethics of digital participation IUF project funding for 'Data in action' research on research trajectories of implication NEST project (Marie Skłodowska-Curie RISE Action Programme) visiting fellowship at UC Berkeley (2022) As a research leader, Marta Severo has directed multiple significant projects including the ANR COLLABORA project (construction of an observatory of cultural contributory devices), the Wikipatrimoine project (exploring collaborative management of cultural heritage), and the ICH Observatory project (mapping digital networks of ICH stakeholders in France). Her work demonstrates strong commitment to interdisciplinary collaboration across computer science, social sciences, and heritage management. She frequently partners with European institutions including the European Association of Via Francigena Routes and has presented at numerous international conferences on cultural heritage and digital methods.

Abayomi Baiyereمشاهده پروفایل

دانشیار

• Digital Transformation
• Information Systems
• Digital Strategy
• +۶ مورد دیگر

Abayomi Baiyere serves as an Associate Professor in the Department of Digitalization at Copenhagen Business School (CBS), where he conducts cutting-edge research at the intersection of digital technologies and organizational transformation. His work significantly contributes to UN Sustainable Development Goals through digitally-enabled societal impact initiatives and has yielded 69 research outputs including high-impact publications in premier journals like Information Systems Journal and Information Systems Research . His research program focuses on: Digital transformation frameworks (notably the MIND framework for capability assessment) Platform design and governance mechanisms Smart service systems development Workplace transformation through digital subtraction logic Digital strategy implementation challenges Analysis of his 15 most recent publications (2024-2025) reveals a strong theoretical grounding in institutional and practice-based perspectives, with increasing emphasis on ethical dimensions of digital transformation, AI implementation constraints, and methodological innovations in computational research. His work consistently bridges conceptual rigor with practical applicability for organizational leaders. Dr. Baiyere actively shapes academic discourse through editorial roles including co-editing The Routledge Companion to Management Information Systems (2025) and organizing key events like the African IS Paper Development Workshop (2020). His public engagement includes 6 media contributions discussing digital workplace transformation and strategic implementation challenges, demonstrating commitment to translating research into practical insights for broader audiences. Within CBS, he has supervised 8 academic works while contributing to the department's international recognition in digitalization research. His activities reflect deep engagement with both theoretical advancement in information systems and practical solutions for organizational digital maturity.

Viktoria HSE Robertsonمشاهده پروفایل

استاد

• Antitrust Law
• Digitalization
• EU Competition Law
• +۳ مورد دیگر

Prof. Viktoria HSE Robertson is a Professor of Corporate Law, Antitrust Law, and Digitalization at Vienna University of Economics and Business (WU Vienna), where she also serves as Head of the Department of Antitrust Law and Digitalization. Her research focuses on European and international antitrust law, digitalization's impact on competition, and comparative legal frameworks. She teaches courses such as *Corporate Law*, *Competition, Antitrust and Intellectual Property Law*, and *Competition Law in the Digital Economy*, emphasizing digital markets and regulatory challenges. Her work bridges antitrust law with digital innovation, addressing topics like algorithmic pricing, data governance, and the role of competition law in safeguarding democracy. Robertson is affiliated with organizations such as the Academic Society for Competition Law and the Women in Competition Law Network Austria. Her recent research includes studies on DMA implementation, computational antitrust, and green transition policies within EU competition frameworks. Robertson holds degrees including Mag. (Austria), MJur (Oxford), and has authored books like *Competition Law’s Innovation Factor: The Relevant Market in Dynamic Contexts in the EU and the US*. Her interdisciplinary approach integrates legal analysis with technological and economic considerations, shaping modern competition law discourse globally.

Bryce Westlakeمشاهده پروفایل

دانشیار

• Digital Forensics
• Biometric Identification
• Child Sexual Abuse Material
• +۴ مورد دیگر

Bryce Westlake is an Associate Professor in the Department of Justice Studies within the College of Social Sciences at San Jose State University. He is a leading researcher in digital forensics and child sexual abuse material detection, with significant contributions to both forensic science education and alternative sexuality studies. Education: Ph.D. in Criminology from Simon Fraser University (2015) Master's degree in Criminology from Simon Fraser University Bachelor of Arts degree in Psychology and Sociology (double major) from University of British Columbia Dr. Westlake's research spans two primary areas with significant societal impact. In digital forensics, he focuses on developing automated tools to detect, collect, analyze, and match child sexual abuse material disseminated online. His work involves international collaboration with researchers, law enforcement agencies, and government partnerships to create more effective detection systems. In his secondary research area, he explores alternative sexuality, particularly BDSM communities, conducting multi-phasic, kink-positive studies examining health and safety within these communities. His research aims to destigmatize participation through a deeper understanding of the social and emotional enrichment practitioners receive from activities. His recent publications demonstrate a clear trend toward increasingly sophisticated technical approaches to combating child sexual exploitation while simultaneously advancing understanding of alternative sexual practices. The technical publications focus on biometric identification, file structure analysis, and ethical web scraping methods, while his BDSM-related work emphasizes community safety, education pathways, and mental health benefits. This dual focus positions him uniquely at the intersection of technology, law enforcement, and human sexuality research. Scientific Awards: The Storytellers Award (Social Sciences and Humanities Research Council) - April 2014 Canadian Graduate Scholarship (Social Science and Humanities Research Council) - May 2012 Dr. Westlake has been heavily involved in developing the forensic science program at SJSU, creating six undergraduate courses, revising two graduate courses, and introducing one graduate course. In Fall 2020, he created and implemented a new concentration in digital evidence (computer forensics) for forensic science majors - one of the first in-person digital forensic bachelor of science degrees in the United States meeting FEPAC standards. He has developed and directs the Silicon Valley Digital Forensics Laboratory, which began accepting students for internships in Fall 2024. He was awarded a three-year $497,948 grant from the National Science Foundation in 2023 to study 'Training digital forensics examiners through hands-on education investigating live criminal investigations.' Through the Silicon Valley Digital Forensics Laboratory and partnerships with criminal justice agencies (district attorneys offices, law enforcement agencies, etc.), Dr. Westlake provides students with training and practical experience conducting digital forensic investigations from start (evidence collection) to finish (report writing and testimony). He also co-hosted the first annual Child Sexual Abuse Reduction Research Network workshop in Adelaide Australia in December 2023.

• Fog Computing
• Cloud Computing
• Large-scale Distributed Systems
• +۷ مورد دیگر

Guillaume Pierre is a Professor and research leader at Univ Rennes, affiliated with Inria, CNRS, and IRISA, where he leads the Magellan research team. He is based at the Institute of Science and Technology of Information and Communication (ISTIC), Department of Computer Science and Electronics. His research focuses on fog computing, cloud computing, and large-scale distributed systems, with applications in scalable web hosting and edge intelligence. Research Interests: Fog and Edge Computing Cloud Computing and Resource Management Scalable Web Application Hosting Peer-to-Peer and Decentralized Systems Stream Processing and Kubernetes Orchestration Elasticity and Energy Efficiency in Distributed Environments His recent publications highlight a strong trend in geo-distributed systems, particularly focusing on Kubernetes cluster federation, fog-based environmental monitoring, and elasticity in stream processing. His work bridges theoretical advances with practical implementations in real-world fog and cloud infrastructures. Scientific Awards: Best Paper Award, IEEE International Symposium on Applications and the Internet (2005) Best Paper Award, IEEE International Conference on Cloud Engineering (IC2E 2014) Guillaume Pierre has advised numerous PhD students, many of whom now hold positions at Google, Amazon, Ericsson, and Ansys. He has coordinated major research projects such as the H2020 FogGuru initiative and the DiPET project on distributed data stream processing. His work is supported by EU funding and institutional collaborations. Labs and Teams: He leads the Magellan research team at the INRIA/IRISA lab, which is at the forefront of innovation in fog and cloud computing technologies.

• Environmental Policy
• Plant Biosecurity
• Ecosystem Services
• +۴ مورد دیگر

Clive Potter is Professor of Environmental Policy at Imperial College London's Centre for Environmental Policy within the Faculty of Natural Sciences. His interdisciplinary work bridges environmental science and social science to inform government policy, with specific focus on plant biosecurity, ecosystem services, and stakeholder engagement in rural and urban contexts. Professor Potter's research centers on agricultural restructuring and sustainable land use governance in industrialized nations, examining 25+ years of policy evolution and farmer responses to market, policy, and socio-cultural shifts. He investigates policy learning mechanisms and public involvement in environmental risk management, particularly regarding tree disease epidemics like ash dieback, analyzing how historical knowledge and local observations integrate into biosecurity frameworks. His approach combines natural science collaborations with social survey methodologies across UK and EU contexts. Recent publications (2021-2024) reveal intensifying focus on urban forestry dynamics during crises (including COVID-19), socio-ecological art-science collaborations, and policy innovations for landscape-scale conservation. Key trends include systematic analysis of tree pest impacts in cities, integration of public health co-benefits in climate policy, and novel stakeholder engagement methods using digital tools. His work increasingly addresses equity dimensions in environmental governance and the role of diverse knowledge systems in managing complex socio-ecological risks.

Tanel Alumäeمشاهده پروفایل

دانشیار

• Speech Processing
• Natural Language Processing
• Machine Learning
• +۵ مورد دیگر

Tanel Alumäe is a Tenured Associate Professor of Speech Processing and Head of the Laboratory of Language Technology at Tallinn University of Technology (TalTech). He holds a PhD in Information and Communication Technology from TalTech (2006) and has conducted research at institutions like LIMSI/CNRS, Aalto University, and Raytheon BBN Technologies. His research focuses on speech processing, speaker and language recognition, and low-resource language technologies. Affiliations: Department of Software Science, School of Information Technologies, TalTech. Education: PhD in ICT (2006), MSc in Informatics (2002), Diploma in Computer & Systems Engineering (1999). Research interests include speech recognition, speaker diarization, spoken language translation, and combating DeepFake voices. He leads teams achieving top results in competitions like IARPA BABEL, NIST LRE, and Interspeech challenges. His work emphasizes open-source tools and equitable AI solutions. Key Awards: Best Student Paper at Odyssey 2024 and TSD 2018. Keeletegu Awards (2019, 2011) for contributions to Estonian language technology. Grants & Leadership: Managed the National Programme for Estonian Language Technology (2011–2017). Serves as Secretary of the Northern European Association for Language Technology (NEALT) and Area Chair for ICME, EACL, and Interspeech conferences. Labs & Teams: Directs the Laboratory of Language Technology, focusing on practical applications of speech and language technologies.

Jacob R. Hallمشاهده پروفایل

استادیار

• Political Economy
• Law & Economics
• Economic History
• +۷ مورد دیگر

Jacob R. Hall is an Assistant Professor in the Salmon P. Chase Center for Civics, Culture, and Society at The Ohio State University. His research lies at the intersection of Political Economy, Law & Economics, and Economic History, with a particular focus on long-term economic growth and institutional development. He employs spatial and network data extensively in his empirical work, drawing on both European and American historical contexts. His research interests center on understanding the deep historical roots of economic and political institutions. He investigates questions related to the emergence of the state, the evolution of legal systems, the impact of social orders on violence, and the economic consequences of major historical transformations such as the Neolithic Revolution, the Commercial Revolution, and the Industrial Revolution. His methodological toolkit includes quantitative analysis of historical datasets, particularly those involving geography and social networks. While no specific publications are listed, his research trajectory is evident from his teaching materials and the datasets he references, which include resources like the English Medieval Crop Yields Database, the Gazetteer of English Markets and Fairs, and the Domesday Book. His work bridges economics, history, and data science, aiming to provide rigorous empirical answers to fundamental questions in social science. Hall has developed comprehensive lecture notes for undergraduate courses, including Global Economic History , which covers topics from the Malthusian economy to the 20th century, and The Economics of the Law , which applies economic principles to property, contracts, torts, and legal systems. He has also given talks on the Great Depression and the relationship between institutions and economic growth. His academic background includes a PhD in Economics from George Mason University (2023) and a postdoctoral fellowship at the University of Pennsylvania and the Penn Initiative for the Study of Markets. He maintains an active online presence through a personal website and GitHub, where he shares teaching materials and code, indicating a commitment to open scholarship and educational resource development. He is affiliated with professional organizations and resources in economic history, such as the Economic History Association and the Economic History Society, and engages with tools for GIS, network analysis (e.g., igraph), and web scraping. Although no formal advising relationships, grants, or scientific awards are mentioned in the provided text, his position and research program suggest active involvement in the academic community.

• Machine Learning
• Datasets
• Reliable Generalization
• +۵ مورد دیگر

Ludwig Schmidt is an Assistant Professor in the Computer Science Department at Stanford University and a member of Stanford Data Science. He also serves as a member of the technical staff at Anthropic and LAION, contributing to both academic and industrial research in machine learning. Dr. Schmidt completed his PhD at MIT, where he received the prestigious George M. Sprowls Award for best PhD theses in computer science, followed by a postdoctoral position at UC Berkeley. His educational background provides a strong foundation for his research at the intersection of theoretical and applied machine learning. Dr. Schmidt's research focuses on the empirical foundations of machine learning, with particular emphasis on datasets, reliable generalization, multimodality, and language models. His work addresses critical challenges in ensuring machine learning models perform consistently across different domains and data distributions. His research group has made significant contributions to open source machine learning through projects like OpenCLIP, DCLM, and the LAION-5B dataset, which have become important resources for the machine learning community. An analysis of Dr. Schmidt's recent publications reveals a strong focus on dataset quality, multimodal learning, and language model training. His work spans from fundamental research on generalization and robustness to practical applications in vision-language systems and tabular data. A recurring theme is the importance of high-quality, diverse datasets for training robust machine learning models, with several papers addressing dataset curation, evaluation methodologies, and the impact of data quality on model performance. New Horizons Award at EAAMO Best paper awards at ICML & NeurIPS Best paper finalist at CVPR Sprowls dissertation award from MIT (George M. Sprowls Award) Dr. Schmidt actively mentors doctoral students and postdoctoral researchers. His current advisees include doctoral candidates Liangyu Chen, Shiye Su, Elaine Sui, Audrey Xie, John Yang, Yuhui Zhang, and Wanjia Zhao. He serves as Doctoral Dissertation Reader for Kyle Hsu and Aishwarya Mandyam, and as Postdoctoral Faculty Sponsor for Benjamin Feuer and Mike Merrill. His research has attracted significant funding that supports these students and enables his group to contribute to open source projects like OpenCLIP and LAION-5B. Dr. Schmidt leads a research group focused on empirical machine learning foundations. The group actively contributes to open source machine learning through code repositories and datasets, including OpenCLIP, OpenFlamingo, LAION-5B, and the DataComp datasets. Their work bridges theoretical insights with practical applications, developing tools and resources that advance the entire machine learning community.

Steve Oneyمشاهده پروفایل

دانشیار

• Human Computer Interaction
• Programming Education
• Accessibility and Computing
• +۵ مورد دیگر

Steve Oney is an Associate Professor at the University of Michigan School of Information and Computer Science and Engineering (by courtesy). His research focuses on enabling and encouraging more people to write and customize computer programs by creating new programming tools and exploring usability issues in programming environments. With a strong background in Human-Computer Interaction, he bridges the gap between theoretical research and practical applications in programming education, accessibility, and developer tool design. Dr. Oney completed his Ph.D in Human-Computer Interaction at Carnegie Mellon University's Human-Computer Interaction Institute under Professor Brad Myers and Dr. Joel Brandt. He also earned an M.Eng in Computer Science and SB degrees in Computer Science and Mathematics from MIT. His research spans multiple interconnected areas with a unifying theme of making programming more accessible and understandable. Key focus areas include programming education tools that help instructors understand student code at scale, web automation systems that simplify repetitive tasks, accessibility research addressing challenges faced by visually impaired programmers, and innovative VR programming environments. His work consistently emphasizes the human aspects of programming, exploring how tools can better support diverse programming needs and contexts. Dr. Oney's research output shows a strong trajectory toward increasingly sophisticated tools that integrate AI capabilities while maintaining a focus on human-centered design principles. Recent publications demonstrate growing emphasis on inclusive design, educational applications, and the integration of generative AI in programming environments. L@S 2024 Best Paper Award for CFlow CHI 2023 Honorable Mention for VizProg UIST 2024 Best Short Paper (EdCode) VL/HCC 2019 Best Short Paper Recognition for Contribution to Diversity and Inclusion (CSCW 2021) UMSI Excellence in Instruction Award (2021) University of Michigan President's Postdoctoral Fellowship (2015) As a mentor, Oney advises multiple Ph.D. students and postdoctoral researchers, with several successful graduates including Dr. Lei Zhang (June 2024). His research has secured over $1 million in funding from the National Science Foundation, Google, and Adobe, supporting projects that address critical challenges in programming education, accessibility, and developer tool design. He leads the Programming Tools Lab at the University of Michigan, where his team develops innovative tools that help programmers work more effectively. Current projects focus on AI-enhanced programming education, web automation, accessibility for diverse user groups, and next-generation programming environments for virtual and augmented reality.