Eugenio Culurciello

Hi, I am Eugenio Culurciello.

Since childhood I was captivated by computers and artificial intelligence. While in college, I read an article on the IEEE Spectrum on artificial and neuromorphic vision. Since that year in 1994, I had one goal in mind: giving machines the ability to perceive the world around them, just as us humans can do.

About my education: I received the Laurea (M.S.) degree in Electronics Engineering from the University of Trieste, Italy, in July 1997. My master thesis work was conducted at the Johns Hopkins University with professor Ernst Niebur. I then joined professor Andreas G. Andreou laboratory in January 1998 as a graduate student, and in 1999 I received a second M.S. degree in Electrical and Computer Engineering from the Johns Hopkins University, Baltimore. In September 2004 I received the Ph.D. degree in Electrical Engineering at The Johns Hopkins University.

About my former employment: between 2004 and 2011 I was with the Department of Electrical and Computer Engineering at Yale University. Recently, since July 2011, I was an associate professor of Electrical and Computer Engineering, the Weldon School of Biomedical Engineering, and Psychological Sciences in the College of Health & Human Sciences at Purdue University, where I directed the ‘e-Lab’ laboratory.

My academic research focus has always been in artificial vision systems, deep learning, hardware acceleration of vision algorithms. My research aims at extending the performance of circuits and systems by means of advanced technologies, and by taking advantage of the native properties of devices to augment system computational and communication capabilities. My former academic research interests and experience include: analog and mixed-mode integrated circuits with applications to biomedical instrumentation, biological sensors and interfaces, implantable sensors, telemetry sensors, biomimetic sensors. Bio-inspired vision sensory systems and application in Sensor Networks, efficient communication systems, event-based communication and processing. Silicon on Insulator and Silicon on Sapphire circuit design, models of devices, analog-to-digital conversion, radio circuits, radiation tolerant design and isolation amplifiers.

All of my work and efforts have been documented in over 100 international caliber papers and publications, all of which is summarized here. And also in my academic CV.

In 2010, I was the recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), which is the highest honor bestowed by the US government to outstanding scientists and engineers in the early stages of their independent research careers. I was a Distinguished Lecturer of the IEEE (CASS) and was also awarded the Best Paper Award by the IEEE Circuit and System Society in 2008. I authored the book "Silicon-on-Sapphire Circuits and Systems, Sensor and Biosensor interfaces" published by McGraw Hill in 2009, and co-authored "Biomedical Circuits and System, Integrated Instrumentation" published by Lulu in 2013.

I gave humndreds of invited talk all over the world, and in particula I gave the keynote address at the System-on-a-Chip Conference in 2011.

My research on synthetic vision has been featured on MSNBC, in the New York Times, The Economist, MIT Technology Review, BBC, Business Insider, Journal and Courier, US Today, the Engineer, CN beta, to name a few.

In 2013 I founded TeraDeep, a company focused on the design of mobile co-processors and neural network hardware for understanding images and videos.

We can now write the future together.