Ilkay Altintas

Ilkay Altintas
Professor
Engineering and Computer Engineering

Ph.D. University of Amsterdam
M.S. Middle East Technical University
B.S. Middle East Technical University

Ilkay Altintas is the Chief Data Science Officer at the San Diego Supercomputer Center (SDSC), UC San Diego, where she is also the Founder and Director for the Workflows for Data Science Center of Excellence. Since joining SDSC in 2001, she has worked on different aspects of scientific workflows as a principal investigator and in other leadership roles across a wide range of cross-disciplinary NSF, DOE, NIH and Moore Foundation projects.

Milos D. Ercegovac


Milos D. Ercegovac
Professor
Computer Science

Ph.D. University of Illinois, Urbana-Champaign
M.S. University of Illinois, Urbana-Champaign
B.S. University of Belgrade

Professor Ercegovac specializes in research and teaching in digital arithmetic, digital design, and computer system architecture. His recent research is in the areas of approximate arithmetic, composite algorithms, complex arithmetic, design for low power and arithmetic in application-specific architectures.

Miryung Kim


Miryung Kim
Associate Professor
Computer Science

Ph.D. University of Washington
M.S. University of Washington
B.S. Korea Advanced Institute of Science and Technology

Professor Kim is an expert on software engineering, with focus on designing techniques to evolve large software systems and to improve software quality. Her research group, Software Evolution and Analysis Laboratory, develops sofware analysis algorithms and development tools to make it easier to develop and evolve large scale software systems. she also has extensive background in automated program transformation, user studies with professional engineers, and statistical analysis of open source project data to allow data-driven decisions for designing novel software tools. 

She is a recipient of an NSF Faculty Early Career Development (CAREER) Award, Microsoft SEIF Award, IBM Jazz Innovation Award, and Google Faculty Award. She has a strong track record of building scalable and practical tools for program transformation, refactoring, and mining software repository data.

Ramin Ramezani


Ramin Ramezani
Assistant Adjunct Professor
Computer Science

Ph.D. Imperial College London
M.S. Lancaster University
B.S. Bangalore University

Dr. Ramin Ramezani is currently an Adjunct Assistant Professor within the Department of Computer Science, and managing technical director at CTSI, David Geffen School of Medicine, UCLA. He was formerly the Chief Technologist in the Big Data and Analytical Unit within the Department of Surgery and Cancer at Imperial College London, leading a multidisciplinary group named Big Data and Analytical Unit. The center was designed with the aim to apply a combination of computer science and engineering techniques to investigate and better understand ongoing problems in healthcare such as obesity or adverse events in hospitals. This unit is within the Institute for Global Health Innovations at Imperial College, led by UK’s former minister of health. Ramin received his PhD in Artificial Intelligence at the Department of Computing at Imperial College London. He received his MSc with distinction in Digital Signal Processing from University of Lancaster, and BSc with honors in Computer Science.

Yuval Tamir


Yuval Tamir
Associate Professor
Computer Science

Ph.D. University of California, Berkeley


Professor Tamir founded and is currently directing the UCLA Concurrent Systems Laboratory. His research interests include hardware, software, and algorithmic issues related to the design and implementation of computer systems. Most of his work is focused on techniques for achieving high performance and high reliability for parallel and distributed systems. Current research projects include: resilient virtualization, fault injection, fault-tolerant cluster managers, fault tolerance for distributed applications, networks-on-a-chip for chip multiprocessors, hardware support for checkpointing, memory hierarchy in multicore chips.

Wei Wang

Wei Wang
Professor
Computer Science

Ph.D. University of California, Los Angeles
M.S. State University of New York

Wei Wang is the Leonard Kleinrock Chair Professor in Computer Science and Computational Medicine at University of California, Los Angeles and the director of the Scalable Analytics Institute (ScAi). She is also a member of the UCLA Jonsson Comprehensive Cancer Center, Institute for Quantitative and Computational Biology, and Bioinformatics Interdepartmental Graduate Program. She received her PhD degree in Computer Science from the University of California, Los Angeles in 1999.