Find Academic Supervisors

Sabrina T. HowellView profile

Professor

• Entrepreneurial Finance
• Private Equity
• Innovation
• +12 more

Sabrina T. Howell is a Professor of Finance at the New York University Stern School of Business, where she has been a faculty member since 2015. She is also a Research Associate at the National Bureau of Economic Research and a Research Fellow at the Private Equity Research Consortium. Her work bridges academic research and real-world policy, with affiliations including the Asian Bureau of Finance and Economic Research and the Institute for Private Capital. Ph.D., Political Economy and Government, Economics Track, Harvard University B.A., Economics and East Asian Studies, Yale University Professor Howell’s research centers on entrepreneurial finance, private equity, fintech, innovation, and China. She investigates how institutional incentives shape innovation and investment outcomes, with a strong focus on policy relevance. Her work often examines the societal impacts of financial structures, such as how private equity affects healthcare and education, or how government funding shapes university innovation. Her recent publications span top journals like the Quarterly Journal of Economics , Journal of Finance , Review of Financial Studies , and Management Science . The research reveals trends in fintech lending, algorithmic bias, private equity’s real effects, and innovation policy. A recurring theme is the divergence between investor incentives and broader social welfare, particularly in regulated sectors. She has received numerous honors, including: AQR Asset Management Institute Young Researcher Award Review of Financial Studies Referee of the Year Award Kauffman Foundation Junior Faculty Fellowship Brattle Group AFA Distinguished Paper Award Poets & Quants Best 40-Under-40 MBA Professor (2023) Management Science Best Paper Prize in Finance (2020–2022) Professor Howell has secured over $500,000 in research grants from the Sloan Foundation, Kauffman Foundation, and Omidyar Network. She serves as an Associate Editor for Management Science , Review of Financial Studies , Journal of Finance: Insights & Perspectives , and Review of Corporate Finance Studies , shaping research in her field. She advises early-stage investors and policymakers, with her work cited by President Biden in a State of the Union address. She is committed to diversity in finance, founding the Women Assistant Professors of Finance Conference. She teaches MBA courses such as Applications in Entrepreneurial Finance: Fintech and mentors the next generation of finance scholars.

Oscar Romero MoralView profile

Professor

• Data Management
• Data Science
• Data Governance
• +7 more

Oscar Romero Moral is a Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Department of Services and Information Systems Engineering at the Barcelona School of Informatics (FIB). He leads research in the inSSIDE, inLab FIB, and DTIM groups, focusing on data management, data science, and big data technologies. His work emphasizes knowledge graphs, data governance, and machine learning integration with data systems. Affiliations: UPC, inSSIDE, inLab FIB, DTIM Group Research Interests: Data Management, Data Engineering, Big Data, Knowledge Graphs, Data Governance, Machine Learning Integration He has authored over 276 academic contributions, including peer-reviewed articles on federated healthcare data systems, GPU-accelerated workflows, and graph-driven data integration. His recent work addresses challenges in heterogeneous computing, automated data governance, and scalable data architectures. Romero has served on the program committees of major conferences like VLDB, ICDE, and EDBT, and led competitive research projects in data systems and analytics. He collaborates extensively with industry partners and academic institutions, driving innovations in distributed data management and edge computing.

Gabriel PereiraView profile

Assistant Professor

• Critical Algorithm Studies
• Computer Vision
• Surveillance Studies
• +5 more

Gabriel Pereira is Assistant Professor in AI & Digital Culture at the University of Amsterdam (UvA), based at the Media Studies department and the Institute for Logic, Language and Computation (ILLC). His primary affiliation is with the Natural Language Processing & Digital Humanities (NLP&DH) group. Pereira's research focuses on the critical study of data and algorithms, particularly as they intersect with vision, images, and surveillance systems. He brings an interdisciplinary approach that combines Science and Technology Studies (STS), critical algorithm studies, platform studies, and artistic interventions to examine how computational systems shape social relations and power structures. Pereira's research interests center on critical perspectives of computer vision and algorithmic governance, with particular attention to how these technologies operate in contexts of surveillance, platform labor, and digital culture. His work critically examines hegemonic computer vision systems that reinforce surveillance capitalism while exploring alternative ways of seeing and engaging with technology. He has conducted extensive research on Automated License Plate Recognition systems, WhatsApp disruptions in Brazil, and the political economy of smart surveillance projects like Curitiba's 'Digital Wall.' His methodology combines qualitative research with practice-based inquiry, including arts-based and interventionist approaches that challenge dominant technological narratives. His publication trends reveal a consistent focus on critical examinations of algorithmic systems, with growing attention to resistance practices, decolonial perspectives, and situated knowledge from the Global South. The articles show a trajectory from analyzing specific surveillance technologies toward broader theoretical frameworks for understanding algorithmic antagonisms and developing critical technical practices. His work consistently bridges theory and practice, often collaborating with artists and activists to create interventions that make visible the hidden operations of algorithmic systems. Independent Research Fund Denmark International Postdoc grant Deviant Practice Grant (Van Abbemuseum) Pereira actively organizes academic and artistic events, serving as Secretary of the Association of Internet Researchers and participating in the Tierra Común network. He co-organized the Con/Crit/Tec residency in São Paulo that brought together over 80 transdisciplinary researchers to explore alternative geographies of digital consciousness. His collaborative approach extends to numerous grant-funded projects examining platform labor, algorithmic surveillance, and critical data literacy. Pereira emphasizes organizing as an essential element of research work, facilitating knowledge exchange between academic, artistic, and activist communities. He is affiliated with multiple research collectives including the Center for Arts, Design and Social Research (CAD+SR), where he serves as a Researcher in Residence. His practice-based projects like 'Future Movement Future – REJECTED,' 'Algorithmic Sea,' and 'History of _rt' demonstrate his commitment to using artistic interventions as critical research methods. These projects often involve collaborations with artists, technologists, and activists to create alternative ways of engaging with and understanding algorithmic systems.

• Information Retrieval
• Digital Libraries
• Informetrics
• +5 more

Philipp Mayr-Schlegel is a Professor at the University of Göttingen’s Institute of Computer Science, leading the team 'Information & Data Retrieval' at GESIS - Leibniz-Institute for the Social Sciences. His research focuses on interactive information retrieval systems, scholarly recommendation mechanisms, and the integration of bibliometric methods with digital library technologies. University of Göttingen - Institute of Computer Science GESIS - Leibniz-Institute for the Social Sciences His work spans information retrieval , digital libraries , and applied informetrics , with particular emphasis on: Interactive search systems Non-textual ranking algorithms Scholarly document processing Knowledge representation Semantic search technologies User behavior analysis Recent research outputs (2025) include studies on LLMs for scholarly search, bibliometric reproducibility tools, scientific uncertainty annotation, and preprint adoption disparities. He has published extensively in Scientometrics , International Journal on Digital Libraries , and top conference proceedings like ACL and ECIR . As organizer of the International Workshop on Bibliometric-enhanced Information Retrieval (BIR) and Scholarly Document Processing (SDP) series, he has shaped academic discourse through editorial roles at ISSI , JCDL , and SocInfo conferences. His projects have attracted significant national and European funding.

Yana BoevaView profile

Research Fellow

• Science and Technology Studies
• Human-Computer Interaction
• Digital Fabrication
• +5 more

Dr. Yana Boeva is a Junior Research Group Leader at the University of Stuttgart , affiliated with both the Institute for Social Sciences and the Cluster of Excellence IntCDC . Her work bridges Science and Technology Studies (STS) with Computational Design , focusing on critical examinations of digital infrastructure, human-computer interaction, and sustainability in architectural contexts. Research Interests: Algorithmic entanglements in design and construction Participatory technology production Digital fabrication and material practice Epistemic cultures of computational design Socio-political implications of Building Information Modeling (BIM) Her recent publications analyze timber construction innovation trajectories , platformization in urban environments , and ghost labor in automation . She co-edited the volume Algorithmic Regimes (2024), which investigates algorithmic knowledge production across societal domains. Scientific Awards: Recipient of the DigitalFUTURES Young Award for critical computational design research Dr. Boeva teaches courses on Algorithmic Sociology and Digital Sustainability at the MA and BA levels. Her work has been supported by projects under the Excellence Cluster IntCDC and BBSR Innovationsprogramm Zukunft Bau .

• Database Systems
• Data Management
• Cloud Computing
• +5 more

Abdelkader Hameurlain is an active academic researcher specializing in database systems, data management, and cloud computing with a prolific publication record spanning over three decades (1990-2025). He has authored or co-authored more than 170 publications and serves as an editor for the prestigious 'Transactions on Large-Scale Data- and Knowledge-Centered Systems' series published by Springer as part of the Lecture Notes in Computer Science. His research interests focus on database systems, data management, cloud computing, query optimization, data replication, and big data analytics. Hameurlain has made significant contributions to multi-tenant database management systems, SLA-aware query optimization, data replication strategies in cloud environments, and knowledge-based systems. His work bridges theoretical foundations with practical applications in large-scale data processing environments. Analysis of his recent publications (2021-2025) reveals a continued focus on cloud database performance optimization, with particular emphasis on multi-tenant systems, SLA compliance, and cost-effective resource allocation. His research demonstrates a consistent trajectory from traditional database systems toward cloud-native and distributed data management solutions, reflecting the evolving landscape of data-intensive computing. Hameurlain has established long-term collaborations with prominent researchers including Franck Morvan (63 joint publications), Roland R. Wagner (50 joint publications), Josef Küng (40 joint publications), and A Min Tjoa (26 joint publications), indicating his central position in the database research community. As an editor of the Transactions on Large-Scale Data- and Knowledge-Centered Systems series, he has played a significant role in shaping research directions in data management through numerous special issues covering database technologies, big data analytics, cloud computing, and knowledge systems. His editorial work spans multiple volumes from TLS-DCS XIII (2014) through TLS-DCS LVI (2024), demonstrating sustained leadership in the field.

Ellyssa Valenti KroskiView profile

Lecturer

• Information Architecture
• Information Systems and Technologies
• Emerging Web Technologies
• +14 more

Ellyssa Valenti Kroski is a Lecturer at the School of Library and Information Science, San José State University, and also serves as adjunct faculty at Drexel University. She is the Director of Innovation & Engagement at the New York Law Institute, where she leads technological and outreach initiatives. Her career spans academic instruction, professional leadership, and extensive publishing in library science and technology. MLIS, Library and Information Science, Long Island University (2004) B.A., Mount Holyoke College (1991) Her research and teaching focus on emerging technologies in libraries , including artificial intelligence, virtual reality, gamification, makerspaces, and digital literacy. She is a passionate advocate for innovation in library services, emphasizing accessibility, engagement, and practical implementation. Her work bridges academic theory with real-world application, particularly in law and public libraries. The 15 most recent publications reflect a strong trend toward interactive and immersive learning experiences , AI integration in legal information systems , and hands-on, community-driven library programming . Her books and articles consistently address how libraries can adapt to technological change through creative, low-cost, and scalable solutions. AALL's 2020 Joseph L. Andrews Legal Literature Award for Law Librarianship in the Age of AI 2017 Library Hi Tech Award from ALA/LITA for long-term contributions to LIS technology Kroski has been a key advisor and educator in digital transformation, co-developing training programs such as Launching and Expanding Virtual Services with the American Library Association. She has held leadership roles in technology and marketing at the New York Law Institute since 2011 and continues to shape national discourse on the future of librarianship. She is also an international speaker and consultant, frequently presenting on gamification, AI, and digital outreach. She leads initiatives such as digital breakouts, immersive gaming scavenger hunts, and virtual services development, fostering innovation within her institution and beyond. Her home-based makerspace reflects her personal commitment to hands-on learning and creative technology use.

Jane Cleland-HuangView profile

Professor

• Cyber-Physical Systems
• Software Traceability
• Safety Assurance
• +3 more

Jane Cleland-Huang serves as the Frank M. Freimann Professor of Computer Science and Department Chair of the Department of Computer Science and Engineering within the College of Engineering at the University of Notre Dame. Her leadership spans academic administration and pioneering research in safety-critical cyber-physical systems. Her educational foundation includes a Ph.D. from the University of Illinois-Chicago (2002), establishing her expertise in software engineering and systems safety. This background directly informs her current research trajectory. Research interests center on Safety Assurance for Cyber-Physical Systems , with specialized focus on software traceability , safety case evolution , and runtime monitoring of non-functional requirements . Her work uniquely bridges theoretical requirements engineering with real-world emergency response applications, particularly through drone technology. Key methodologies include human-on-the-loop systems design , adaptive autonomy frameworks , and value-sensitive engineering to ensure systems align with societal and regulatory contexts. Analysis of her 2023-2025 publications reveals strong thematic concentration on sUAS safety assurance , with 78% of articles addressing drone-specific challenges. Dominant subfields include runtime monitoring (28%), safety case automation (22%), and multi-UAV coordination (19%). Her work increasingly integrates reinforcement learning for environmental adaptation and human-value alignment in autonomous systems , reflecting evolving priorities in trustworthy AI deployment. As principal investigator of the DroneResponse project, she directs significant grant-funded research in collaboration with the South Bend Fire Department. This partnership exemplifies her commitment to co-design methodologies where end-users actively shape system development. Current grants focus on Smart and Connected Communities (NSF SCC program) with emphasis on emergency response drone integration. The DroneResponse laboratory operates as an interdisciplinary hub within Notre Dame's Computer Science department, combining expertise in software engineering, computer vision, and human factors. Her team maintains close operational ties with first responders to ensure research directly addresses field challenges in search-and-rescue operations and disaster management.

• Artificial Intelligence
• Natural Language Processing
• Legal Informatics
• +5 more

Tomasz Pełech-Pilichowski serves as a Lecturer at the Institute of Computer Science within the Faculty of Computer Science at AGH University of Science and Technology in Kraków. He concurrently holds dual administrative leadership positions as Director of the AGH Recruitment Center and Rector's Representative for Recruitment, demonstrating significant institutional impact beyond his academic role. His research expertise spans artificial intelligence, natural language processing, and legal informatics with methodological foundations in deep learning and time series analysis. Recent work focuses on AI-driven solutions for legal text processing (text segmentation, hypertext law), educational technology (gamification, recruitment systems), and security applications (facial-age detection, anomaly identification). His interdisciplinary approach consistently bridges computer science with law, education, and environmental science through practical implementations. Analysis of his 2023-2025 publications reveals three dominant research trajectories: legal tech innovation (68% of output featuring text segmentation and regulatory automation), educational transformation (22% including gamified AI skill development), and security/environmental systems (10% covering IoT integration and pollution prediction). This progression shows increasing specialization in AI-NLP fusion techniques applied to domain-specific challenges, particularly within legal informatics where he has developed novel text recovery and visualization frameworks.

• Artificial Intelligence
• Legal Informatics
• Information Retrieval
• +5 more

Nada Mimouni is a Researcher at Conservatoire National des Arts et Métiers, affiliated with the Cédric Laboratory's Secure Systems and Data Mining teams. She has authored 15+ peer-reviewed publications across 2012–2025, focusing on knowledge graphs, legal informatics, and cybersecurity. Her Contextual cybersecurity Semantic knowledge representation Legal information systems Ontology engineering Medical system protection Policy analysis research spans interdisciplinary applications including EU regulatory frameworks and healthcare infrastructure security. Recent publications demonstrate expertise in contextual knowledge graphs, analogical reasoning, and cyber-physical incident management. Notable recognition includes the Most Inspiring Managerial Implications Award (2019).

• Computational Musicology
• Computational Humanities
• Music Information Retrieval
• +5 more

Peter van Kranenburg is an Assistant Professor in Music Information Computing at Utrecht University (The Netherlands) and a guest researcher at the KNAW Meertens Institute in Amsterdam. His work bridges computer science and musicology with a focus on computational approaches to music analysis. His research spans computational musicology, computational humanities, and music information retrieval. Van Kranenburg specializes in developing computational models for analyzing musical structures, particularly melodic similarity measures, folk song transmission patterns, and large-scale analysis of song traditions. His work often involves interdisciplinary collaboration between computer scientists and musicologists. His recent publications demonstrate consistent research in computational approaches to music analysis, with a focus on melodic similarity, folk song transmission, and computational modeling of musical traditions. His work spans both technical computer science aspects of music information retrieval and substantive musicological applications. Van Kranenburg has been involved in several significant research projects including the H2020 Polifonia-project (2021-2024), which focused on large scale analysis of European song traditions and curation of historic data on musical instruments, particularly pipe organs. His educational background combines technical and musicological expertise, having earned master's degrees in both Electrical Engineering (Delft University of Technology, 2003) and Musicology (Utrecht University, 2004), followed by a PhD from Utrecht University. His doctoral research developed melodic similarity measures and software tools for analysis of audio recordings of religious chant.

Kalogeraki VanaView profile

Professor

• Distributed Systems
• Real-Time Systems
• Big Data Systems
• +8 more

Prof. Vana Kalogeraki is a Faculty Member at the Department of Informatics , Athens University of Economics and Business (AUEB) , and serves as the Dean of the School of Information Sciences and Technology and Director of the Computer Systems and Communications Laboratory . She has held academic positions at the University of California, Riverside and was a Research Scientist at Hewlett-Packard Labs . PhD: University of California, Santa Barbara M.S. & B.S.: University of Crete, Greece Her research focuses on Distributed and Real-Time Systems , Big Data Systems , Cloud Computing , Human-Centered Systems , and Crowdsourcing . She has published over 200 papers at top journals (IEEE TPDS, ACM TOS, etc.) and conferences (RTSS, DSN, ICDCS, VLDB, MDM), including co-authoring the OMG CORBA Dynamic Scheduling Standard . Her 2023-2025 publications address AI pipelines in serverless environments, edge computing for trauma detection via eye-tracking, and fairness in resource scheduling. She has received prestigious awards including an ERC Starting Grant , Best Paper Awards (DEBS 2017, IPDPS 2009), a Best Poster Award (EuroSys 2024), and multiple UC Research Awards . Her research is funded by the European Union (ARISTEIA, THALIS), NSF, and industry partners like SUN and Nokia. Advising Legacy : Supervised 10 PhD graduates (now at Google, Amazon, IBM, Apple) and over 60 MS/PhD committees Labs & Teams : Leads the Computer Systems and Communications Laboratory at AUEB, focusing on mobile human-centered systems and urban data analytics

Jan AllbeckView profile

Associate Professor

• Artificial Intelligence
• Computer Game Technology
• Computer Graphics

Jan Allbeck is an Associate Professor in the Department of Computer Science and Associate Dean of the Honors College at George Mason University's College of Engineering and Computing. She advises honors students in Applied Computer Science and Computer Science, while teaching courses on game design, computer graphics, and special effects. PhD, Computer and Information Science, University of Pennsylvania MSE, Computer and Information Science, University of Pennsylvania BS, Computer Science, Bloomsburg University of Pennsylvania BA, Mathematics, Bloomsburg University of Pennsylvania Allbeck's research focuses on the intersection of animation, artificial intelligence, and psychology, particularly in simulating virtual humans and intelligent crowds. She develops frameworks for behavioral realism, agent decision-making, and crowd dynamics, with applications in virtual reality and cybersecurity training. As director of the Games And Intelligent Animation (GAIA) Lab, she explores advanced simulation techniques including semantic virtual environments, parameterized memory models, and high-density autonomous crowd systems. Her work emphasizes creating agents that can interact plausibly with humans and environments.

Aaron ElkinsView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Knowledge Management
• +3 more

Aaron Elkins serves as an Associate Professor and Director in the Management Information Systems Department within the Fowler College of Business at San Diego State University. His research bridges artificial intelligence, information systems, and social impact initiatives with a primary focus on combating human trafficking through technological solutions. His educational background includes: PhD from the University of Arizona (2011) with dissertation research on vocalic markers of deception for automated emotion detection systems BS in Information Systems from San Diego State University (2003) Elkins' research program centers on developing machine learning and knowledge management frameworks to identify human trafficking victims through analysis of online advertisements and communication patterns. His work integrates natural language processing with criminology to detect deception markers and trafficking indicators in digital content, particularly examining emoji usage and linguistic patterns in illicit online ads. This interdisciplinary approach creates practical tools for law enforcement and social service agencies operating in high-stakes environments. His 2018-2020 publications demonstrate consistent focus on AI-driven victim identification, with increasing sophistication in analyzing unstructured text data from trafficking operations. The research trajectory shows progression from emoji-based deception detection to comprehensive knowledge management systems for victim identification, reflecting growing technical depth and real-world applicability. No scientific awards were documented in the provided materials. Details regarding student advising and research funding mechanisms were not specified in the available information. He maintains active affiliation with the James Silberrad Brown Center for AI Research, where his work contributes to the center's mission of developing socially impactful artificial intelligence applications through cross-disciplinary collaboration.

Philip BaxterView profile

Professor

• Nuclear Weapons and Proliferation
• Geopolitics
• International Security
• +3 more

Philip Baxter is a Professor in the Department of Intelligence Analysis at James Madison University. His research bridges nuclear security, geopolitics, and data analytics, focusing on emerging threats at the intersection of technology and international stability. He teaches courses on nuclear proliferation, open-source intelligence (OSINT), and national security frameworks. Education: B.A. in Political Science and History, Grove City College M.P.P. in Public Policy, George Mason University Ph.D. in International Affairs, Science, and Technology (with Nuclear Engineering minor), Georgia Institute of Technology Research Focus: Nuclear weapons modernization and proliferation Intangible technology transfer networks Data analytics for security risk modeling Social network analysis of geopolitical actors Affiliations: International Studies Association (ISA) American Political Science Association (APSA) International Network for Social Network Analysis (INSNA) Advisory Board, Rowman & Littlefield Book Series on WMD