Gleich and Tan receive promotion to full professor
04-12-2022
The Purdue University Board of Trustees approved faculty promotions for two Department of Computer Science faculty members on April 8, 2022.
David F. Gleich, Jyoti and Aditya Mathur Associate Professor of Computer Science, was promoted to full professor.
Professor Gleich’s research is focused on high performance and large scale computations with a focus on enabling previously infeasible analysis of data from biology, social networks, and scientific simulations. Matrix algebra is a particularly attractive paradigm to study these procedures as it often gives rise to efficient computational procedures in a variety of settings (serial, parallel, streaming). This research straddles a few different areas and often involves working with large datasets on high performance computing architectures (e.g. MPI clusters) and data computing architectures (e.g. MapReduce).
Gleich held the John von Neumann post-doctoral fellowship at Sandia National Laboratories in Livermore, CA before joining Purdue University in fall 2011. He received his PhD in computational and mathematical engineering from Stanford University in 2009. Gleich also holds a courtesy appointment in the Department of Mathematics.
Lin Tan, Mary J. Elmore New Frontiers Associate Professor of Data Science and Associate Professor of Computer Science, was promoted to full professor.
Lin Tan, Mary J. Elmore New Frontiers Associate Professor of Data Science and Associate Professor of Computer Science, was promoted to full professor.
Professor Tan's research interests include artificial intelligence and software synergy, software engineering, software reliability and security, and software text analytics. Some of Tan’s research focuses on leveraging machine learning and natural language processing techniques to improve software dependability and using software approaches to improve the dependability of machine learning systems.
Before joining Purdue University in 2019, Tan was a Canada Research Chair and an associate professor at the University of Waterloo. Tan earned her PhD in computer science in 2009 from the University of Illinois Urbana-Champaign.
About the Department of Computer Science at Purdue University
Founded in 1962, the Department of Computer Science was created to be an innovative base of knowledge in the emerging field of computing as the first degree-awarding program in the United States. The department continues to advance the computer science industry through research. US News & Reports ranks Purdue CS #20 and #18 overall in graduate and undergraduate programs respectively, ninth in both software engineering and cybersecurity, 14th in programming languages, 13th in computing systems, and 24th in artificial intelligence. Graduates of the program are able to solve complex and challenging problems in many fields. Our consistent success in an ever-changing landscape is reflected in the record undergraduate enrollment, increased faculty hiring, innovative research projects, and the creation of new academic programs. The increasing centrality of computer science in academic disciplines and society, and new research activities - centered around data science, artificial intelligence, programming languages, theoretical computer science, machine learning, and cybersecurity - are the future focus of the department. cs.purdue.edu
Writer: Emily Kinsell, emily@purdue.edu