Alin Deutch [ DBLP|Google Scholar ]

Alin's interests include prdata publishing and integration, specification and verification of database-powered business processes and semistructured and XML data. His research is currently sponsored by the NSF.

Arun Kumar [ Google Scholar ]

Arun's research interests are in data management and systems for machine learning-based data analytics. His research focuses on designing abstractions, algorithms, and systems that make it easier and faster to analyze large and complex datasets using machine learning.

Yannis Papakonstantinou [ DBLP|Google Scholar ]

Yannis' research extends the capabilities of data platforms and query processors. He has published over 100 research articles with more than 14,000 citations.

Victor Vianu [ DBLP|Google Scholar ]

Victor's research interests are in database systems and theory. He has been focusing on verification of database-driven systems, an area at the boundary of databases and computer-aided verification. His current research focuses on automatic verification of interactive data-driven Web services and business processes. He is also interested in the theory of query languages and computational logic.

Kamalika Chaudhuri [Google Scholar]

Kamalika's research interests lie in the area of machine learning. Specifically, much of her work is on privacy-preserving machine learning and unsupervised learning, but she's also broadly interested in a number of topics in learning theory, such as confidence-rated prediction, online learning, and active learning.

Babak Salimi [Google Scholar]

Babak's research interests are in data management, causal inference, responsible data science and data ethics. His research seeks to unify techniques from theoretical data management, causal inference and machine learning to develop the necessary conceptual foundations for decision-making and policy evaluation from complex relational data, algorithmic fairness, explainability and accountability.

Rana Alotaibi

Rana's research interests lie in hybrid stores databases, large scale data integration and scalable self tuning database systems.

Side Li

Tara Mirmira

Supun Nakandala

Supun's research interest lies broadly in the intersection of Machine Learning and Systems, an emerging area which is also known as Machine Learning Systems. His current work involves implementing efficient, scalable, and reliable algorithms, systems, and abstractions for Deep Learning powered Machine Learning workloads.

Ainur Smagulova

Ainur's research interests lie at the intersection of the theory and applications of databases and big data management systems. Currently, she is focused on data processing for massively parallel systems, more specifically, parallel computation of queries over large graphs and their complexity.

Vraj Shah

Vraj's research interest lies in accelerating the advanced data analytics life cycle by simplifying data sourcing for Machine Learning (ML) and making it easier and cheaper to deploy ML powered data analytics applications, improving both efficiency and usability of ML for data science.

Marysia Tran

Marysia's research interests lie in logic and database theory.

Yuhao Zhang

Xiuwen Zheng

Xiuwen's research interests lie in heterogeneous data management, polystore system, query optimization and AI in DB.

Ilkay Altintas

Ilkay Altintas is the Director for the Center of Excellence in Workflows for Data Science at the San Diego Supercomputer Center (SDSC), UCSD.

Chaitanya K. Baru

Director, Center for Large-scale Data Systems research (CLDS), clds.sdsc.edu Director, Advanced Cyberinfrastructure Development Group (ACID).

Amaranath Gupta

Amarnath Gupta is a Research Scientist at the San Diego Supercomputer Center (SDSC) of the University of California San Diego.

Nikos Koulouris

Vicky Papavasileiou

Konstantinos (Costas) Zarifis

Yuliang Li

Chunbin Lin

Jianguo Wang

Yannis Katsis

Wojtek Kazana

Elio Damaggio

Alan Nash

Andrey Balmin

Lying Sui

Frank Neven

Karl Denninghoff

Sťephane Grumbach

Gottfried Vossen

Avinash Vyas

Bertram Ludascher

Dayou Zhou

Emiran Curtmola

Guilian Wang

Heasoo Hwang

Kevin Zhao

Kian Ong

Lian Chen

Liying Sui

Michalis Petropoulos

Min Qian

Nathan Bales

Nicola Onose

Nikolaos Trogkanis

Pavel Velikhov

Pratik Mukhopadhyay

Sergio Lifschitz

Vagelis Hristidis

Yu Xu

Yupeng Fu

Triptych

An end-to-end data system for sourcing data and features, as well as specifying, optimizing, and managing the ML model selection process.

Genisys

Deep learning-powered database perception to enable data systems to see and hear unstructured data for unified type-agnostic analytics.

Forward

A declarative, rapid development framework for data-driven Ajax reports and applications. Rich visualizations and collaborative workflows require only a few lines of SQL-based code and visualization/interaction markup.