Sanjoy Baruah, Ayan Chakrabarti, Chien-Ju Ho, Ulugbek Kamilov, Brian Kocoloski and William Yeoh join the School of Engineering & Applied Science in 2017.
Sanjoy Baruah, professor
- PhD, MS, computer science, University of Texas, Austin
- BTech, computer science and engineering, Indian Institute of Technology, New Delhi, India
Baruah joins CSE from the University of North Carolina at Chapel Hill, where he has been a professor of computer science since 2005 and a member of the faculty since 1999. Previously, he was assistant professor at the University of Vermont and the New Jersey Institute of Technology and a faculty research associate at the University of Maryland. He begins Sept. 1.
Baruah’s research is in scheduling theory; real-time and safety-critical system design; computer networks; resource allocation and sharing in distributed computing environments.
Ayan Chakrabarti, assistant professor
- PhD, SM, engineering sciences, Harvard University
- B Tech, M Tech, electrical engineering, Indian Institute of Technology, Madras
Chakrabarti joins CSE from Toyota Technological Institute in Chicago, where he is a research assistant professor. Previously, he was a postdoctoral fellow at Harvard University. He joins the faculty Sept. 1.
Chakrabarti’s research focuses on computer vision, computational photography and machine learning. Using tools from machine learning, he works to develop efficient and reliable visual inference algorithms, as well as new high-capability cameras and visual sensors. He also is interested in solving the computer vision applications that impact robotics and autonomous vehicles, graphics and virtual reality, and consumer photography.
Chien-Ju Ho, assistant professor
- PhD, computer science, University of California, Los Angeles
- BS, MS, computer science and information engineering, National Taiwan University
- BS, physics, National Taiwan University
Ho joins CSE from Cornell University, where he is a postdoctoral associate in information science. He was a research intern for Microsoft Research and a visiting doctoral student at Harvard University. He received a Google Outstanding Graduate Research Award in computer science from UCLA in 2015. He joins the faculty Aug. 1.
Ho’s research centers on the design and analysis of human-in-the-loop systems, with a focus on acquiring and utilizing human-generated data. The research spans and draws from the fields of machine learning, algorithmic economics, optimization, and online behavioral social science. He plans to explore the behavioral aspects of data science and to develop realistic human behavior models and study how the models influence the design of machine learning algorithms and incentive mechanisms when humans are involved in producing and using data.
Ulugbek Kamilov, assistant professor
- PhD, electrical engineering, École Polytechnique Fédérale de Lausanne in Switzerland
- BSc, MSc, communication systems, École Polytechnique Fédérale de Lausanne
Kamilov joins the ESE and CSE departments from Mitsubishi Electric Research Laboratories in Cambridge, Mass., where he has been a research scientist in computational sensing since 2015. He previously was an intern for Microsoft Corp. in Zurich, Switzerland. He joins the faculty Sept. 1.
Kamilov’s research areas are developing new techniques for computational imaging in biomedical and industrial applications, as well as signal and image processing, tomographic imaging, X-ray tomography, sensing for autonomous vehicles, inverse problems, statistical inference, proximal-gradient algorithms, belief propagation, message passing and alternating direction method of multipliers.
Brian Kocoloski, assistant professor
- PhD, computer science, University of Pittsburgh
- BS, computer science, University of Dayton
Kocoloski joins CSE from the University of Pittsburgh, where he is a graduate student researcher. Previously, he was a co-op engineer for Advanced Micro Devices (AMD) and a research intern at Sandia National Laboratories. He also was application developer at JPMorgan Chase & Co. and a quality assurance analyst at NCR Corp. He begins Jan. 1, 2018.
Kocoloski’s research seeks to make it easier to efficiently use large parallel computers. His work has focused on system software for high performance computing (HPC) systems, where he has designed lightweight operating systems and virtualization mechanisms to support parallel applications. He is interested in addressing scalability challenges in parallel systems.
William Yeoh, assistant professor
- PhD, MS, computer science, University of Southern California
- BSE, MS, mechanical engineering and applied mechanics, University of Pennsylvania
Yeoh joins CSE from New Mexico State University, where he has been an assistant professor of computer science since 2012. He received a CAREER Award from the National Science Foundation in 2016 and was named one of AI’s 10 to Watch by IEEE Intelligent Systems. Previously, he was a research scientist at Singapore Management University and a postdoctoral research associate at the University of Massachusetts. He joins Sept. 1.
Yeoh’s research focuses on artificial intelligence with an emphasis on developing optimization algorithms for single and multi-agent system. He also develops efficient incremental search algorithms for solving path planning problems in single-agent systems. These algorithms are popular for solving dynamic path-planning problems in robotics and have been adapted for use in the Mars Rovers and autonomous vehicles in the DARPA Urban Challenge. His goal is to deploy these algorithms in a smart grid and smart home application, as part of the overall goal of a $5 million NSF research center for which he is co-investigator.
The School of Engineering & Applied Science at Washington University in St. Louis focuses intellectual efforts through a new convergence paradigm and builds on strengths, particularly as applied to medicine and health, energy and environment, entrepreneurship and security. With 88 tenured/tenure-track and 28 additional full-time faculty, 1,200 undergraduate students, 1,200 graduate students and 20,000 alumni, we are working to leverage our partnerships with academic and industry partners — across disciplines and across the world — to contribute to solving the greatest global challenges of the 21st century.