DSE Faculty | MAS

DSE Faculty

Co-Directors

Yoav Freund

Yoav Freund


Faculty Co-Director
Professor of Computer Science & Engineering
Jacobs School of Engineering
University of California, San Diego

Dr. Yoav Freund is a professor of Computer Science and Engineering at UC San Diego. His work is in the area of machine learning, computational statistics and their applications. Dr. Freund works on applications of machine learning algorithms in bioinformatics, computer vision, finance, network routing and high-performance computing. He has developed a new approach to the study and development of machine learning algorithms, where the goal is to produce a good decision algorithm for a repetitive decision task. Dr. Freund is an internationally known researcher in the field of machine learning, a field which bridges computer science and statistics. He is best known for his joint work with Dr. Robert Schapire on the Adaboost algorithm. For this work they were awarded the 2003 Gödel prize in Theoretical Computer Science, as well as the Kanellakis Prize in 2004.

Yannis Papakonstantinou


Faculty Co-Director
Professor of Computer Science & Engineering
Jacobs School of Engineering
University of California, San Diego

Dr. Yannis Papakonstantinou is a Professor of Computer Science and Engineering at the University of California, San Diego. His research is in the intersection of data management technologies and the web, where he has published over ninety research articles that have received more than 12,000 citations, according to Google Scholar. A common theme of his research is the extension of database platforms and query processors beyond centralized relational databases and into semistructured databases, integrated views of distributed databases and web services, textual data and queries involving keyword search, and most recently spatiotemporal sensor data. He has given multiple tutorials and invited talks, has served on journal editorial boards and has chaired and participated in program committees for many international conferences and workshops.

Ilkay Altintas de Callafon


Faculty Co-Director
Faculty Co-Director
Chief Data Science Officer
San Diego Supercomputer Center
University of California, San Diego

Dr. 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. She is a co-initiator of and an active contributor to the popular open-source Kepler Scientific Workflow System, and the co-author of publications related to computational data science and e-Sciences at the intersection of scientific workflows, provenance, distributed computing, bioinformatics, observatory systems, conceptual data querying, and software modeling. Ilkay is the recipient of the first SDSC Pi Person of the Year in 2014, and the IEEE TCSC Award for Excellence in Scalable Computing for Early Career Researchers in 2015.

Faculty, Lecturers, and Visiting Faculty

Alin Deutsch


Professor
Computer Science & Engineering
Jacobs School of Engineering
University of California, San Diego

Dr. Alin Deutsch is interested in XML databases and XML query languages. He received his Ph.D. in computer science from the University of Pennsylvania in 2002. He received his M.S. in computer science from the Technical University of Darmstadt (Germany) in 1995 and his B.S. in computer engineering from the Bucharest Polytechnic University (Romania) in 1993 - graduating with honors from each institution. During his doctoral studies at the University of Pennsylvania, Deutsch worked as an intern at the AT&T Research Labs and Texas Instruments. As a teaching assistant at the University of Pennsylvania, he taught Java programming techniques and a tutorial on XML technologies. Due to his extensive experience, he is able to provide an effective mix of high-level technical detail and real-world interpretations - enabling him to interact with a wide variety of audiences. Deutsch's entrepreneurial skills have led to a patent in 2000 based on query optimization.

Amarnath Gupta


Research Scientist
Associate Professor
Computer Science & Engineering
Jacobs School of Engineering
University of California, San Diego

Dr. Amarnath Gupta received his Ph.D. in Computer Science from Jadavpur University in India. He is currently a full Research Scientist at the San Diego Supercomputer Center of UC San Diego, and directs the Advanced Query Processing Lab. His primary areas of research include semantic information integration, large-scale graph databases, ontology management, event data management and query processing techniques. Before joining UC San Diego, he was the Chief Scientist at Virage, Inc., a startup company in multimedia information systems. Dr. Gupta has authored over 100 papers and a book on Event Modeling, holds 13 patents and is a recipient of the 2011 ACM Distinguished Scientist award.

Sanjoy Dasgupta


Lecturer
Computer Science & Engineering
Jacobs School of Engineering
University of California, San Diego

Dr. Sanjoy Dasgupta develops algorithms for the statistical analysis of high-dimensional data. Such data is now widespread, in domains ranging from environmental modeling to genomics to web search. The geometry of high-dimensional spaces presents unusual challenges; many traditional statistical procedures were developed with one- or two-dimensional data in mind and do not scale well to this modern context. Some of them are very inefficient; others give poor results because of counter-intuitive effects in high dimension. Dasgupta has developed the first provably correct, efficient algorithms for a variety of canonical statistical tasks, especially related to clustering (grouping) data. He is one of the few machine learning researchers whose work combines algorithmic theory with geometry and mathematical statistics. He adds a strong theoretical focus to UCSD's CSE artificial intelligence and bioinformatics groups. Prior to joining the UCSD Jacobs School in 2002, Sanjoy Dasgupta was a senior member of the technical staff at AT&T Labs-Research, where his work focused on algorithms for data mining, with applications to speech recognition and to the analysis of business data. Prof Dasgupta received a Ph.D. in Computer Science in 2000 from UC Berkeley and a B.A. in Computer Science from Harvard in 1993. He is a member of the editorial boards of the Journal of Machine Learning Research, the Journal of Artificial Intelligence Research, and the Machine Learning Journal.

Amit Chourasia


Sr. Visualization Scientist
San Diego Supercomputer Center
Lecturer
Computer Science & Engineering
Jacobs School of Engineering
University of California, San Diego

Amit Chourasia is a Sr. Visualization Scientist at the San Diego Supercomputer Center, UC San Diego where he leads the Visualization Group. His work is focused on leading the research, development and application of software tools and techniques for visualization. Key area of his work is to develop methods to represent data in a visual form that is clear, succinct and accurate (a challenging yet very exciting endeavor). He has had an opportunity to work with research groups in diverse science and engineering disciplines and contends that with the help of visualization, domain and data scientists can visually validate and investigate their data, explore and gain significant insights as well as share results within and outside their community.

Ahmet Enis Cetin


Visiting Professor
Electrical and Computer Engineering
Jacobs School of Engineering
University of California, San Diego

Dr. Ahmet Enis Cetin studied Electrical Engineering at the Orta Dogu Teknik Universitesi (METU). After getting his B.Sc. degree, he got his M.S.E and Ph.D. degrees in Systems Engineering from the Moore School of Electrical Engineering at the University of Pennsylvania in Philadelphia. Between 1987-1989, he was Assistant Professor of Electrical Engineering at the University of Toronto, Canada. Since then he has been with Bilkent University, Ankara, Turkey. Currently he is a full professor. During summers of 1988, 1991, 1992 he was with Bell Communications Research (Bellcore), NJ, USA. He spent 1994-1995 academic year at Koc University in Istanbul, and 1996-1997 academic year at the University of Minnesota, Minneapolis, USA as a visiting associate professor. He is currently on sabbatical leave at UC San Diego. He is involved in Multimedia Understanding Through Semantics and Computational Learning Network of Excellence research MUSCLE-ERCIM, computer vision based wild-fire detection research VBI Lab , biomedical signal and image processing research , MIRACLE project , signal processing research for food safety and quality applications, wavelet theory, inverse problems and used to carry out research related to Turkish Language and Speech Processing.

Volkan Vural


Research Scientist
San Diego Supercomputer Center
Lecturer
Computer Science & Engineering
Jacobs School of Engineering
University of California, San Diego

Dr. Volkan Vural is currently a research scientist with San Diego Supercomputer Center's Cyberinfrastructure Research, Education and Development (CI-RED) group. Since 2014, Dr. Vural has been an adjunct Professor at the Carroll School of Management at Boston College. In 2001, he received his B.S. in Telecommunications and Computer Engineering from Middle East Technical University in Ankara, Turkey. He received his M.S. in Statistical Machine Learning from Northeastern University in 2004. He also received his Pd.D. in Statistical Machine Learning from Northeastern University in 2009. Dr. Vural has served as the Senior Developer at Eze Software Group in Boston, Massachusetts.