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Danny Chen

Danny Z. Chen

Professor

Department of Computer Science and Engineering

Professor
College of Engineering

Email: dchen@nd.edu

Phone: 574-631-8804

Office: 326E Cushing Hall

Education

Ph.D., Computer Science, Purdue University, 1992

M.S., Computer Science, Purdue University, 1988

B.S., Computer Science and Mathematics, University of San Francisco, 1985

Biography

Dr. Chen has developed many efficient sequential and parallel algorithms for solving fundamental geometric, graphic, and combinatorial problems, and has published over 150 journal and conference papers in these areas. In addition, he has given many invited talks on his research work at conferences, research institutes, and computer science departments in the US, Canada, Europe, and Asia.

Summary of Activities/Interests

Computational geometry and applications, biomedical imaging, automated medical treatment and diagnosis, parallel algorithms, machine learning.

News

Joint Paper on Collective Behaviors Wins 2017 Cozzarelli Prize

March 1, 2018

The paper titled “Three-dimensional Visualization and a Deep Learning Model Reveal Complex Fungal Parasite Networks in Behaviorally Manipulated Ants,” co-authored by David Hughes, an entomologist at Pennsylvania State University, and Danny Z. Chen, professor of computer science and engineering at the University of Notre Dame), has been selected as one of six papers published in 2017 to receive the National Academy of Sciences’ Cozzarelli Prize.

Close Collaboration Sheds Light on Collective Behaviors

November 21, 2017

From the earliest of days, researchers have been recording their observations, analyzing what they see to interpret and apply the facts before them. Today, however, imaging especially in biomedical communities requires more than the human eye or even incredibly accurate “cameras.” In cases such as the joint project between Notre Dame and Pennsylvania State University, it requires close collaboration between biologists and computer scientists using deep-learning methods for artificial intelligence to speed up and improve the process.

Notre Dame Researchers Develop Software for Potential Use by Law Enforcement

October 26, 2016

The software code developed at Notre Dame makes the iris identification process easier for law enforcement to use and, hopefully, apply. The code works by looking at iris features and presenting them to the user in a way that is similar to a program that conducts fingerprint analysis.

Chen’s Results Reported by “Math in the Media” of American Mathematical Society

September 6, 2016

Chen Contributed to Recent Progress on an Unsolved Mathematical Problem

July 15, 2016