Grad School 101
This session will include information about graduate school from both the student and faculty perspective. It will address questions such as: What is grad school like? How is it different from undergrad? How do you pay for it? Is it for everyone? Masters vs. PhD--what do these degrees do for you? Do you need to put your life on hold when you are in grad school? What are some of the best things about grad school?
Presenters:
Tong Zhang (tozhang@illinois.edu)
Tong Zhang is a professor of Computer Science at University of Illinois Urbana-Champaign. Previously, he was a professor at the Hong Kong University of Science and Technology, Rutgers university, and worked at IBM, Yahoo, Google, Baidu, and Tencent. Zhang's research interests include machine learning algorithms and theory, statistical methods for big data and their applications. He is a fellow of ASA, IEEE, and IMS, and he has been in the editorial boards of leading machine learning journals and program committees of top machine learning conferences. Zhang received a B.A. in mathematics and computer science from Cornell University and a Ph.D. in Computer Science from Stanford University.
Andreas Klöckner (andreask@illinois.edu)
Andreas Klöckner is an associate professor in the scientific computing area within the Department of Computer Science at the University of Illinois at Urbana-Champaign. His research focuses on high-order accurate integral equation methods and fast algorithms for elliptic boundary value problems as well as code transformation for high-performance scientific computing. He is the recipient of a 2017 National Science Foundation CAREER Award. In support of his research, Dr. Klöckner has released numerous scientific software packages. Previously, he was a Courant Instructor at the Courant Institute of Mathematical Sciences at New York University with Leslie Greengard, after obtaining his PhD degree from the Division of Applied Mathematics at Brown University in 2010 with Jan Hesthaven.
Darko Marinov (marinov@illinois.edu)
Darko Marinov is a Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. His main research interests are in Software Engineering, in particular improving software quality using software testing. He has a lot of fun looking for software bugs. He published over 100 conference papers, winning three "test-of-time" awards -- two ACM SIGSOFT Impact Paper awards (2012 and 2019) and one ASE Most Influential Paper Award (2015) -- and eight more paper awards -- seven ACM SIGSOFT Distinguished Paper awards (2002, 2005, 2010, 2015, 2016, 2017, 2021) and one CHI Best Paper Award (2017). He was elected a Fellow of Automated Software Engineering (2023). His work has been supported by AFRL via BBN, Boeing, Facebook, Google, Huawei, IBM, Intel, Microsoft, NSF, Qualcomm, Samsung, and SRC.
Seminar Zoom Meeting