Andrea Selleri is an Assistant Professor in the Department of English Literature at Bilkent University, where he joined in September 2020. He holds a BA and MA from the University of Trieste and a PhD from the University of Warwick. His research focuses on the intersections between British literature, criticism, and philosophy in the long nineteenth century, with particular attention to authorship, aesthetics, and interdisciplinary approaches. Dr. Selleri has published extensively on Victorian literature and its philosophical contexts, including a monograph exploring the evolution of authorship concepts and co-editing Literary Studies and the Philosophy of Literature (Palgrave, 2016). His recent work includes a three-volume critical edition, Literature and Philosophy in Nineteenth-Century British Culture (Routledge, 2024), which compiles annotated primary sources. At Bilkent, he teaches courses such as ELIT 246 (Drama and Performance) , ELIT 366 (Victorian Literature) , and ELIT 458 (Literature and Philosophy in Nineteenth-Century British Culture) . He coordinates the Philosophy and Literature Colloquia series and serves as a review editor for the Journal of Victorian Culture . His research interests span literary history, modern literatures in English, French, Spanish, and Italian, and the philosophy of literature. Current projects include studies on free will in Victorian fiction and the legacy of Romantic authorship in formalist aesthetics.
Maria Gorlatova is an Associate Professor of Electrical and Computer Engineering at Duke University's Pratt School of Engineering, where she leads the Intelligent Interactive Internet of Things (I3T) Lab. She also holds a secondary affiliation as Faculty Network Member of the Duke Institute for Brain Sciences and has previously served as Assistant Professor of Computer Science. Dr. Gorlatova earned her Ph.D. in Electrical Engineering from Columbia University (2013), following M.Sc. and B.Sc. (Summa Cum Laude) degrees in Electrical Engineering from University of Ottawa, Canada. Prior to joining Duke, she was an Associate Research Scholar in the Electrical Engineering Department and Associate Director of the Princeton EDGE Lab at Princeton University (2016-2018). She also has industry experience with Telcordia Technologies, IBM, and D. E. Shaw Research. Her research focuses on advancing intelligent behavior in Internet of Things systems and applications, particularly in mobile pervasive systems and the Internet of Things. Her work crosses traditional discipline boundaries, requiring thinking across multiple layers of system and protocol stacks. Current research themes include breaking barriers for technologies that enable fundamentally new deployments and experiences, such as energy harvesting, artificial intelligence adapted to IoT constraints, and augmented reality. Her lab specifically develops edge- and IoT-enabled intelligent augmented reality platforms, with applications in healthcare and human-robot collaboration. Analyzing her recent publications reveals a strong focus on augmented reality systems, particularly for medical applications. Her work spans computer vision for AR, spatial tracking, SLAM systems, vision-language models for AR security, and VR/AR applications in neurosurgery and rehabilitation. A significant portion of her recent work addresses challenges in mixed reality for medical procedures, demonstrating the translational impact of her research. Google Anita Borg USA Fellowship Canadian Graduate Scholar CGS NSERC Fellowships Columbia University Presidential Fellowship Columbia University Jury Award for Outstanding Achievement in Communications ACM SenSys Best Student Demonstration Award IEEE Communications Society Young Author Best Paper Award IEEE Communications Society Award for Advances in Communications Best Research Artifact Award, IEEE IPSN (2020) N2 Women Rising Star, Networking Networking Women (N2Women) (2019) Dr. Gorlatova's research has been supported by various funding sources that enable her work on edge computing for augmented reality, IoT systems, and medical applications. She actively mentors graduate students who frequently appear as first authors on her publications, indicating strong student involvement in her research. Her I3T Lab at Duke focuses on creating human-facing pervasive mobile computing platforms that enable transformative applications, with recent emphasis on creating advanced augmented reality platforms that integrate edge computing and IoT technologies. The I3T Lab is developing next-generation AR systems with capabilities in edge AI, collaborative spatial awareness, AR user cognitive context sensing, and AR QoS/QoE evaluation. Current projects include applications in healthcare (particularly neurosurgery guidance and rehabilitation) and human-robot collaboration scenarios, demonstrating the lab's focus on real-world impact of pervasive computing technologies.
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.
Jack Bowman is a Teaching Fellow in Modern History at the University of Warwick, School of Arts, Department of History. He teaches modules such as "Britain in the Twentieth Century" and "Race, Racism, and Resistance in Modern Britain," and serves as an Academic Writing Adviser and Teaching Representative for the Social Inclusion and Diversity Committee. PhD in History, University of Warwick (2019–2023) MA in Modern History, University of Warwick (2018–2019) BA (Hons) in History, University of Warwick (2015–2018) His research focuses on anti-colonial print cultures, particularly within the British Empire and the Pan-African movement. He specializes in book history, global histories of empire, queer histories, and visual media. His work explores the role of political publishing in anti-colonial activism and the intellectual networks of figures like V. K. Krishna Menon and Ras T. Makonnen. The recent publications and presentations reflect a strong engagement with transnational anti-colonial movements, Black radicalism, and the material culture of print. His work spans historical biography, archival research, and critical reviews of scholarship in visual culture, decolonization, and global knowledge systems. He frequently contributes to public history through outreach and digital media. University of Warwick, History Department Doctoral Scholarship (2019–2023) Jack Bowman advises undergraduate students and contributes to academic governance through committee roles. He is also involved in public engagement, including outreach to school children as the historian for George Padmore and creating educational resources for GCSE and A-Level students. He is a Convenor of the Modern British History Reading Group and a member of the Global History and Culture Centre and Manuscript and Print Cultures Research Group at Warwick. He is currently working on a new book project on the League Against Imperialism and maintains an active public presence through Twitter (@DrJackBowman) and podcast contributions, such as with Shoga Films on the Harlem Renaissance.
Annette Schellenberg-Lagler serves as Professor of Old Testament Studies at the University of Vienna's Faculty of Protestant Theology, where she concurrently holds leadership roles as Vice Dean, Director of Studies, and Deputy Head of the Institute for Old Testament Studies and Biblical Archaeology. Her academic career spans over two decades with significant contributions to biblical scholarship since joining Vienna in 2015 after positions at the University of Zurich and San Francisco Theological Seminary. Her educational foundation includes Protestant Theology studies at the University of Zurich (1991-1998), followed by doctoral completion in 2002 and habilitation in 2011 at the same institution. Key developmental phases include Swiss National Science Foundation research in Los Angeles (2003-2005) and tenure-track professorship in California (2007-2015). Schellenberg-Lagler's research centers on Prehistory (Genesis 1-11), Priestly literature, Wisdom literature, and the Song of Songs, with specialized focus on Old Testament Anthropology and theological controversies within ancient Near Eastern contexts. Her work consistently bridges textual analysis with anthropological and epistemological frameworks, particularly examining human cognition in wisdom texts and sensory dimensions in biblical poetry. Current projects include a Song of Songs commentary for Eerdmans' Illuminations series. Recent publications reveal evolving scholarly trajectories toward negative theology in Hebrew Bible studies and interdisciplinary epistemology, while maintaining deep engagement with Wisdom literature. Her editorial leadership as Editor-in-Chief of Vetus Testamentum since 2020 significantly shapes contemporary Old Testament scholarship. She actively mentors students through STEOP-Mentoring programs and doctoral seminars, building on early-career support from Swiss National Science Foundation and Zurich Young Talents scholarships. Her academic service extends to steering committees for the Society of Biblical Literature's 'Wisdom in Israelite Traditions' group and the Working Group on Old Testament Reception (AKRAT). As a core member of Vienna's Research Center 'Religion and Transformation in Contemporary Society' (RaT), she collaborates across multiple networks including the 'Epistemology in ancient Israel' consortium. Her institutional leadership drives curriculum development for Evangelical Theology programs while maintaining active participation in European scholarly societies like EABS and SBL.
Haitong Li is an Assistant Professor in the School of Electrical and Computer Engineering at Purdue University's College of Engineering, joining the faculty in 2022. His research bridges nanoelectronic devices, integrated circuits, and nanotechnology-inspired AI hardware to address critical challenges in energy-efficient artificial intelligence systems. Education: Ph.D. in Electrical Engineering, Stanford University Research Interests: Dr. Li pioneers emerging memory technologies—particularly Resistive RAM (RRAM)—for in-memory computing and neuromorphic systems. His work focuses on 3D monolithic integration of RRAM and gain cell memory with CMOS to enable edge AI, with recent breakthroughs in hardware acceleration for large language models and sustainable computing. Key innovations include carbon footprint prediction for LLMs and zeroth-order fine-tuning techniques. Publication Trends: Dr. Li's 2023-2025 publications reveal a strategic shift toward sustainable AI hardware, emphasizing carbon-aware LLM inference and edge deployment. His research consistently targets data movement reduction through memory-centric architectures, spanning photonic accelerators, neuro-symbolic computing, and heterogeneous 3D integration. Awards: No scientific awards were documented in the provided sources. Advising and Grants: Current advisees and grant funding details were not specified in the available materials. Labs and Teams: Research group composition and laboratory facilities were not described in the source text.
David Means is a Visiting Associate Professor of English at Vassar College, where he has taught since 2001. He holds a BA from The College of Wooster and an MFA in poetry from Columbia University. His academic work centers on creative writing, modern and contemporary fiction and poetry, and American culture. Education: BA, The College of Wooster MFA, Columbia University in the City of New York Means is a celebrated author of short fiction and novels, known for his lyrical prose, experimental narrative structures, and deep exploration of trauma, memory, and redemption. His work frequently appears in The New Yorker , Harper’s , The Paris Review , and other prestigious literary journals. His writing often returns to themes of violence, loss, and the quiet grace that emerges in their aftermath, drawing comparisons to Flannery O’Connor and Denis Johnson. His stories are marked by a nonlinear sense of time and a profound empathy for marginalized or broken characters. His recent publications include the story collection Instructions for a Funeral (2019) and Two Nurses, Smoking , with his novel Hystopia longlisted for the Man Booker Prize. His forthcoming non-fiction book, Pivot: Ruminations in the Shadow of Death , reflects on mortality and personal reflection. Selected Awards and Honors: Guggenheim Fellowship (2013) Three O. Henry Prizes Three Pushcart Prizes Los Angeles Book Prize for Fiction Finalist, National Book Critics Circle Award Finalist, Frank O’Connor International Short Story Prize Longlisted, Man Booker Prize Means has advised and influenced many emerging writers through his teaching and public readings. While specific students are not named in the sources, his role as a mentor is evident in his sustained presence in creative writing programs. He has no known research grants or lab affiliations, as his work is primarily literary and individual. He continues to publish and engage in public discourse on the nature of storytelling, including critiques of AI-generated fiction.
Elisa Ricci is a Full Professor at the Department of Information Engineering and Computer Science (DISI) at the University of Trento and serves as Head of the Research Unit Deep Visual Learning at Fondazione Bruno Kessler. She coordinates the Doctoral Program in Information Engineering and Computer Science at the University of Trento and holds prestigious fellowships from ELLIS and IAPR. Her research focuses on advancing computer vision and deep learning systems capable of operating in open-world environments. Key interests include domain adaptation, continual learning, and self-supervised learning for visual and multi-modal data processing. Her work addresses critical challenges in enabling machines to adapt to new domains without forgetting prior knowledge, with applications spanning robotics perception, medical imaging, and privacy-preserving AI systems. Recent publications reveal a dominant trend toward leveraging vision-language models for open-vocabulary tasks, training-free adaptation methods, and federated learning architectures. Significant research thrusts include machine unlearning for privacy, robustness against bias in visual classifiers, and novel class discovery using foundation models—particularly evident in 2025 publications addressing medical imaging, 3D segmentation, and collaborative generative systems. Her major recognitions include: ELLIS Fellow IAPR Fellow As Doctoral Program Coordinator at the University of Trento, she oversees PhD training while leading the Deep Visual Learning unit at Fondazione Bruno Kessler. Her research group secures competitive grants in AI-driven perception systems, though specific funding sources aren't detailed in the source material. The Deep Visual Learning Research Unit specializes in open-world computer vision challenges, developing frameworks for domain adaptation, continual learning, and multi-modal perception. Current projects integrate generative models with robotics applications while addressing privacy concerns in vision-language systems through unlearning techniques.
Karthik R. Narasimhan is a Professor at Princeton University's School of Engineering and Applied Science in the Department of Computer Science. Previously, he earned his PhD from MIT under Regina Barzilay and served as a visiting research scientist at OpenAI during 2017-18. His research focuses on the intersection of language and decision-making, building autonomous agents that learn from both experience and human knowledge. His research spans multiple high-impact areas including language agents (Text-DQN, CALM, ReAct, Tree of Thoughts), reinforcement learning (h-DQN, Multi-Objective RL), and AI safety (Toxicity in ChatGPT, DataMUX). He has developed critical datasets and benchmarks such as WebShop, InterCode, SWE-bench, and SILG that have become standard evaluation tools in the field. Current work emphasizes agent capabilities, software engineering automation, and multimodal interaction. His publication trends show strong focus on practical agent deployment (SWE-agent, Tree of Thoughts), safety evaluation (Probing AI Safety), and efficiency improvements (DataMUX). Recent work increasingly addresses real-world challenges in software engineering, security, and human-AI collaboration through rigorous benchmarking. Co-author of foundational GPT (2018) paper Key developer of Text-DQN (2015), CALM (2020), ReAct (2022), Tree of Thoughts (2023) Creator of influential benchmarks: WebShop (2022), SWE-bench (2023), InterCode (2023) He actively advises students through Princeton's computer science program, with research supported by multiple grants focused on autonomous agent development and language-based decision systems. His GitHub repositories (nlp-datasets, text-world-player) demonstrate strong community engagement in open-source research tools. Current projects include advancing language agent capabilities through Reflexion (2023) and Tree of Thoughts (2023) frameworks while addressing critical safety and efficiency challenges.
Yaping Zheng serves as an Assistant Professor in the Department of Accounting and Business Analytics within the Alberta School of Business at the University of Alberta. Her current teaching responsibilities include ACCTG 222: Introduction to Accounting for Management Decision Making, a course focused on cost behavior analysis, budgeting, and performance measures for management decisions, scheduled for Winter Term 2026 with office location at 3-21C Business Building. Her research spans critical areas in contemporary accounting: Financial Reporting and Corporate Disclosure mechanisms Textual Analysis applications in accounting contexts Big Data integration for financial analysts Management decision-making through accounting information systems Dr. Zheng's recent publication in Management Science (2025) examines empirical evidence of big data adoption by financial analysts, revealing its impact on disclosure practices and reporting usefulness. This work bridges advanced analytics with traditional accounting frameworks to address evolving market demands. No scientific awards were documented in the source materials, though publication in this premier journal signifies substantial scholarly contribution. Information regarding student supervision, research grants, or laboratory affiliations was not provided in the available texts.
Gail E. Kaiser is a Professor of Computer Science and the Director of the Programming Systems Laboratory (PSL) in the Computer Science Department at Columbia University. She has been with Columbia University since 1985, becoming a full Professor in 1998. Prof. Kaiser's research spans software engineering, program analysis, software testing, and software security, with recent focus on addressing challenges in AI/ML systems testing and security. Prof. Kaiser received her PhD in Computer Science from Carnegie Mellon University in 1985 and her ScB in Computer Science and Engineering from MIT in 1979. Her dissertation at CMU was titled "Semantics for Structure Editing Environments" under advisor Nico Habermann, and at MIT she completed "Automatic Extension of an Augmented Transition Network Grammar for Morse Code Conversations" under advisor Al Vezza. Prof. Kaiser's research interests primarily focus on software engineering following a systems building approach, with recent emphasis on static and dynamic program analysis techniques to improve software reliability and security. Since 2005, she has investigated testing "non-testable" programs, particularly in machine learning, data mining, and scientific computing applications where traditional testing oracles are insufficient. She has developed novel techniques and tools for detecting bugs and verifying repairs in complex systems. Concurrently, she has worked on collaboration environments for computational scientists, creating knowledge sharing and domain-aware environments to support scientific workflows. Prof. Kaiser's recent publications demonstrate a strong focus on the intersection of software engineering and artificial intelligence. Her work addresses critical challenges in testing AI systems, code understanding through deep learning, vulnerability detection, and educational tools for computational thinking. There's a clear evolution from traditional software engineering topics toward AI/ML applications, with particular emphasis on metamorphic testing for non-testable systems, code similarity analysis, and educational applications. Prof. Kaiser has received numerous prestigious awards throughout her career: Distinguished Journal Award (10 Years) from 18th IEEE International Conference on Software Testing, Verification and Validation (ICST), April 2025 Best Research Paper Award at 24th IEEE International Conference on Source Code Analysis & Manipulation (SCAM), October 2024 Distinguished Reviewer Awards for ASE 2024 and FSE 2024 ACM SIGSOFT Distinguished Paper Award for "CONCORD: Clone-aware Contrastive Learning for Source Code", July 2023 Best Student Paper Award at ICCE 2021 Multiple ACM SIGSOFT Distinguished Paper Awards dating back to 2014 Presidential Young Investigator in Software Engineering and Software Systems from NSF (1988-1993) Prof. Kaiser has chaired Columbia's doctoral program since 1997 and served on editorial boards including IEEE Internet Computing and as a founding associate editor of ACM Transactions on Software Engineering and Methodology. Her lab has been continuously funded by major agencies including NSF, NIH, DARPA, ONR, NASA, and numerous companies. Current grants include significant NSF funding for secure containers architecture, learning semantics of code for software assurance, and finding semantic security bugs. As Director of the Programming Systems Laboratory (PSL), Prof. Kaiser leads research in software systems, program analysis, and software testing. The lab has developed numerous tools and techniques for software reliability and security, with recent focus on challenges in AI/ML systems. Her work bridges theoretical foundations with practical applications, often resulting in deployable tools that address real-world software engineering challenges.
David Arbesú is Professor of Spanish at the University of South Florida, serving as Head of the Spanish Section and Graduate Program Director for the MA in Spanish within the Department of World Languages. He has presented at over 70 national and international conferences on medieval and Golden Age Spanish literature. His research specializes in manuscript studies, codicology, and palaeography, with significant contributions to Golden Age textual scholarship and Florida colonial history. Arbesú has discovered key historical manuscripts including Pedro Menéndez de Avilés' conquest records and legal proceedings concerning colonial Florida, demonstrating interdisciplinary expertise in literary analysis and historical documentation. Recent publications (2018-2023) reveal sustained focus on critical editions of medieval Spanish texts like Sendebar and Libro de los gatos , alongside colonial Florida manuscripts. His work consistently bridges philological precision with historical context, producing authoritative editions that illuminate textual transmission and cultural frameworks of Iberian literature. Arbesú serves on the Editorial Board of Harvard UP’s Dumbarton Oaks’ Medieval Library Spanish Series and as Book Review Editor for La corónica: A Journal of Medieval Hispanic Languages, Literatures, and Cultures , maintaining active leadership in scholarly publication standards.
Albert Presto is a Research Professor in the Department of Mechanical Engineering at Carnegie Mellon University with a courtesy appointment in Civil and Environmental Engineering. He serves as Director of the Center for Atmospheric Particle Studies (CAPS) and is a Faculty Affiliate at the Steinbrenner Institute for Environmental Education and Research. His work spans multiple interdisciplinary collaborations across environmental science, engineering, and public health domains. Department of Mechanical Engineering, College of Engineering Center for Atmospheric Particle Studies (CAPS) Steinbrenner Institute for Environmental Education and Research Africa Clean Air Network Advisory Council Health Effect Institute's Energy Review Committee Presto's research focuses on pollutant emissions from energy extraction and consumption and their subsequent atmospheric transformations. His work examines how gas and oil wells emit methane, how vehicles emit carbon monoxide and particulate matter, and how these pollutants undergo oxidation in the atmosphere to create secondary pollutants like ozone and secondary particulate matter. His approach combines ambient measurements, laboratory experiments, source testing of pollution sources, and atmospheric models to provide a holistic view of pollutant emissions and transformations. His recent publications reveal a strong emphasis on air quality monitoring technologies, particularly low-cost sensor networks deployed internationally. There's a clear trend toward studying air pollution in African cities (especially Nairobi, Kampala, and Addis Ababa), examining spatial and temporal variability of particulate matter, and investigating the health impacts of air pollution exposure. His work increasingly integrates machine learning approaches for pollution forecasting and leverages international collaborations to address global air quality challenges. Member of Africa Clean Air Network Advisory Council Collaborator with US embassies worldwide on air quality data collection Quoted in The Guardian on inequality of air pollution exposure, specifically noting how people of color are more likely to be exposed to harmful air pollution Collaborated on research regarding chemicals released during the Ohio train derailment Presto actively collaborates with medical professionals to develop neighborhood-by-neighborhood studies of pollutant exposure and to understand relationships between emissions and health effects like childhood asthma. His work includes investigating racial-ethnic exposure disparities to airborne pollutants and examining how proximity to pollution sources like fast-food restaurants affects pediatric asthma outcomes. He has received seed funding from the Scott Institute for Energy Innovation for research in clean hydrogen production, AI hardware efficiency, and decarbonizing transportation. As Director of CAPS, Presto leads a research team focused on atmospheric particle studies with applications ranging from local Pittsburgh air quality to global monitoring initiatives. His lab develops and deploys advanced air quality monitoring technologies, including low-cost sensor networks that have been implemented in multiple cities across Africa. The CAPS research group works at the intersection of environmental engineering, atmospheric science, and public health to address critical air quality challenges worldwide.
Roswitha Skare is a Professor of Documentation Science at the Department of Language and Culture, UiT The Arctic University of Norway, within the Faculty of Humanities, Social Sciences and Teacher Education. She is actively engaged in research and teaching, focusing on documentation studies, public libraries, archives, museums (LAM sector), digitalization, and film history. Her research interests include: Documentation and document theory Paratext and digital documents Public libraries and their role in society Libraries and social media Migration and refugee services in libraries Film history, especially silent films and early documentaries Cultural memory and Sámi cultural resilience Institutional convergence in cultural policy Her recent publications (2019–2025) reveal a strong focus on public libraries during and after the Covid-19 pandemic, the role of libraries in supporting immigrants and refugees, theoretical developments in document studies, and historical film analysis—particularly Robert Flaherty’s Nanook of the North . She frequently collaborates with scholars such as Andreas Vårheim, Noah Lenstra, and Sigrid Stokstad. Her work appears in journals like Journal of Documentation , Library & Information Science Research , and Proceedings from the Document Academy . Roswitha Skare teaches courses such as: MDV-1001: Multimediale dokumenter: Historie, teori og analyse MDV-1203: Bibliotek og formidling MDV-1207: Dokumentinstitusjoner og digitalisering MDV-1206: Prosjektoppgave i bibliotek- og dokumentasjonsvitenskap She supervises bachelor’s, project, and master’s students in library and documentation science. She is a member of the research group Engaging Conflicts in a Digital Era (ENCODE) and participates in projects such as LAMCOM – Libraries, archives, and museums in the community and SAMCOM - Sámi cultural centers as community and cultural resilience infrastructure , which explore the societal roles of cultural institutions and Indigenous resilience. No scientific awards are listed in the provided text.
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.
