Seminario: "How to give a good research talk"

Ponente: Diego Gutiérrez
Día: Viernes, 9 de marzo de 2018
Hora: 10:00-11:00h
Lugar: Seminario del Dept. Informática e Ingeniería de Sistemas, Edif. Ada Byron


Título: How to give a good research talk

Diego Gutiérrez, Dept. Informática e Ingeniería de Sistemas, Universidad de Zaragoza


So you have a great paper, with the results of this awesome technique you've been working on for the last year. The conference is just around the corner, and you have exactly 20 minutes to summarize... well, everything. How are you going to pull that off? How are you going to condensate all those months of hard work in so little time? It's clearly impossible, right? Or is it? How do you deliver the right message, without boring people to death? How do you know what to tell (and how to tell it), and what to leave out? This seminar will answer those questions (and more!) and offer additional insight about how to deliver a good research talk while making sure your message doesn't get lost in the noise.



Diego Gutiérrez is Profesor Titular at the University of Zaragoza. He is a member of the Instituto de Investigación en Ingeniería de Aragón and heads the research group Graphics and Imaging Lab. His areas of research include global illumination techniques, computational photography and exploiting the mechanisms of human perception for image synthesis and scene understanding. He has given a large number of talks at conferences, and has been an invited speaker at several prestigious institutions. He's an Associate Editor of three journals (IEEE Computer Graphics & Applications, ACM Transactions on Applied Perception and Computers & Graphics), and has served on numerous program committees. He regularly collaborates with companies and universities such as Disney, Adobe, NASA, MIT or Stanford. He has received several awards in his career, including the Google Faculty Research Award in 2015. He also received the ERC Consolidator Grant, from the European Research Council, worth 1.7 million euros, to study computational image and human perception.