Emanuel Carneiro

Research Scientist - ICTP

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  • 2018-present: Research Scientist, ICTP

  • 2016-2017: Fulbright Visiting Associate Professor, Stanford University

  • 2016-present: Associate Professor, IMPA - Rio de Janeiro (on leave since October 2018)

  • 2011-2016: Assistant Professor, IMPA - Rio de Janeiro

  • 2010-2011: Associate Consultant, McKinsey and Company

  • 2009-2010: Member, Institute for Advanced Study, Princeton

  • 2005-2009: Ph.D. in Mathematics, The University of Texas at Austin

How would you define your field of study? What is your vision about it? Which are the topics you're most passionate about?

My research is primarily in harmonic analysis and its interactions with other areas of mathematics such as number theory, approximation theory and partial differential equations. Harmonic analysis is concerned with understanding the different types of oscillatory phenomena in nature, many of which are modelled via the Fourier transform. These have many applications in telecommunications, data analysis and in biomedical equipments. I am particularly interested in investigating some optimization problems in this context.

Emanuel Carneiro

How do you expect your experience in IMM to be? Why did you accept to teach for this project?

Wonderful. I am passionate about teaching and mentoring highly motivated students, and I think it will be a lovely experience to meet the studendts of the IMM and share experiences with them.

What is your teaching philosophy? What would you like to transmit to your students? How do you motivate them?

I believe in hard work above all other things. Of course one needs a bit of talent, a bit of time, a bit of resources, etc., but if you are not willing to put your best effort then you should not be in my class. My goal is to reveal the very best in each student, not in relative terms (i.e. comparing one to another), but in absolute terms (comparing you with yourself only).

Do you have one of two favorite quotes you would like to share and/or a personal “motto”?

“Hard work beats talent when talent does not work hard".

 

Selected Publications

 
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Complex Analysis - Spring Semester 2020

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Fabrizio Bianchi