SSCDS Summer Research Program Lunch and Learn: Preparing a Competitive Application for Grad School & Fellowship Apps
- Sponsor
- Illinois Computer Science
- cs-reu@mx.uillinois.edu
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- 435
- Originating Calendar
- Siebel School Undergraduate Research
Preparing a Competitive Application for Grad School & Fellowship Apps
This session will provide information, examples, and strategies for how to prepare a competitive application for graduate school and external fellowships. The session will address questions such as: What should you write in the personal / research statement? What should you highlight in your resume? Should you take the GRE? Who and how should you ask for letters of recommendation? How are applications reviewed? Should you contact professors at the schools you are applying? How important is prior participation in research? Do awards (e.g., CRA Undergraduate Research Award) matter?
Presenters:
Svetlana Lazebnik
Svetlana Lazebnik received a Ph.D. in Computer Science at the University of Illinois in 2006. After serving as an assistant professor at the University of North Carolina at Chapel Hill from 2007 to 2011, she returned as faculty to the University of Illinois, where she is currently a Full Professor in the Department of Computer Science. Her notable awards include the NSF CAREER Award (2008), Microsoft Research Faculty Fellow (2009), Sloan Research Fellow (2013), and IEEE Fellow (2021). Her CVPR 2006 paper on Spatial Pyramid Matching received the 2016 Longuet-Higgins Prize for a paper with a significant impact on computer vision. She served as Program Chair for ECCV 2012, ICCV 2019, and CVPR 2023. She is currently serving as an Editor in Chief of the International Journal of Computer Vision. Her main research themes include scene understanding, joint modeling of images and language, and applications of image generation.
Marco Morales
Marco Morales is a Teaching Associate Professor at the Department of Computer Science at the University of Illinois Urbana-Champaign. He has been an Associate Professor at the Departments of Digital Systems and of Computer Science at Instituto Tecnológico Autónomo de México (ITAM), a Visiting Professor at Texas A&M University and a Lecturer at Universidad Nacional Autónoma de México (UNAM). He holds a Ph.D. in Computer Science from Texas A&M University, a M.S. in Electrical Engineering and a B.S. in Computer Engineering from UNAM. His research is focused on machine learning, motion planning and control for autonomous robots.