Dror Baron  
Associate Professor
Department of Electrical and Computer Engineering
North Carolina State University

Links Publications Software Videos Bio/Contact CV Collaborators Other
During the last several years, we have been inundated by a deluge of data in applications including distributed networked systems, finance, medical imaging, and seismics. My interest lies in fundamental research for problems involving vast amounts of data that must be processed effectively and rapidly in order to extract useful - potentially "actionable" - information. To approach these problems, we must use a multi-disciplinary approach, and I combine tools from information theory, statistical signal processing, machine learning, and computer science. I call this computational information processing.

Specific research directions that I have worked on include:

Links to courses that I have taught: In addition to teaching, Joel Trussell and I developed software for automating questions in ECE 421 (Introduction to Signal Processing; undergraduate course) using WeBWorK software. Each student receives a customized version of each of the questions, and the student is allowed several attempts to solve the question. The student may also request another version of the question (with different numbers). We used these for homeworks and quizzes during the 2015 spring semester. Students solved the quizzes in class using laptops, tablets, or even smart-phones; they received quiz grades immediately. Overall, students provided favorable feedback about the WeBWorK-based system, especially because it allowed many small homeworks sets followed by brief quizzes, which forced them to study consistently throughout the semester. You are invited to check out some examples on our demo using a guest login. To learn more, please take a look at the paper below. We would be glad to hear from you.
Prospective Students
Regretfully, I cannot respond to most inquiries regarding openings for graduate and postdoctoral positions in my group. To get my attention, I suggest that you browse through my webpage, see whether some of the research directions seem interesting, and explain how it caught your attention. I will very likely respond to such inquiries. In contrast, prospective students who send the same letter to dozens or even hundreds of potential advisors should realize that this approach is unlikely to succeed.
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