| SPEAKER | TITLE OF THE TALK |
| Krishna Narayanan |
To be declared |
| Maneesh Agrawala |
To be declared |
| Piya Pal |
To be declared |
Maneesh Agrawala is the Forest Baskett Professor of Computer Science and Director of the Brown Institute for Media Innovation at Stanford University. He works on computer graphics, human computer interaction and visualization. His focus is on investigating how cognitive design principles can be used to improve the effectiveness of audio/visual media. The goals of this work are to discover the design principles and then instantiate them in both interactive and automated design tools. Honors include an Okawa Foundation Research Grant (2006), an Alfred P. Sloan Foundation Fellowship (2007), an NSF CAREER Award (2007), a SIGGRAPH Significant New Researcher Award (2008), a MacArthur Foundation Fellowship (2009), an Allen Distinguished Investigator Award (2014) and induction into the SIGCHI Academy (2021). He was named an ACM Fellow in 2022.
Piya Pal received her Ph.D. in Electrical Engineering from California Institute of Technology in 2013. Prior to her appointment at UC San Diego, she was an Assistant Professor of Electrical and Computer Engineering at the University of Maryland, College Park where she was also affiliated with the Institute for Systems Research. Her doctoral thesis titled “New directions in sparse sampling and estimation for underdetermined systems” was awarded the 2014 Charles and Ellen Wilts Prize for Outstanding Thesis in Electrical Engineering at Caltech. She received an NSF CAREER Award in 2016 to pursue her research in “Smart Sampling and Correlation-Driven Inference for High Dimensional Signals."
