From Potential to Promise: Developing Scholars, one Eureka moment at a time
Lunch will be served at 11:45 am.
In this talk, I will tell the story of our work with some truly remarkable undergraduate students at Rutgers-Camden, who despite many odds have achieved success that is unprecedented for the Camden campus. I will discuss the various challenges that we faced and some ideas that have worked very well (and some that have not) for us. We have been applying some of these ideas in our work with high school students and students at other institutions.
Dr. Rajiv Gandhi is a Professor of Computer Science at Rutgers University-Camden. He also teaches part-time at the University of Pennsylvania. He received his Ph.D. in Computer Science in 2003 from the University of Maryland, College Park. His research interests lie in the broad area of theoretical computer science. Specifically, he is interested in approximation and randomized algorithms. He is a passionate educator who loves working with students with diverse backgrounds, helping them achieve their potential. He is the recipient of the 2022 SIGACT Distinguished Service award, and has also received several teaching excellence awards. Since 2009, he has also been working with high school students as part of the Program in Algorithmic and Combinatorial Thinking (http://algorithmicthinking.org).