David E. Breen

Teaching Research Publications CV

Associate Professor
Department of Computer Science
College of Computing and Informatics
Drexel University
3141 Chestnut Street
Philadelphia, PA 19104

Office : 143 University Crossings
3175 JFK Boulevard
Office # : (215) 895-1626
Dept. # : (215) 895-2669
FAX # : (215) 895-0545
david AT cs.drexel.edu

Office Hours - Thursdays, 3:00 PM → 5:30 PM
Other times by appointment

News

I was an invited speaker at the Karman Conference on Additive Fabrication of Interactive Material Systems.

My undergraduate advisee Hollis Liu has been given a CS Department Outstanding Research Award.

I have received a CURE Grant with Dr. Mark Zarella of DUCoM.

My MS student Rafael Campos has been profiled on the CCI web site.

I am part of the Drexel team that was awarded one of the National Institutes for Manufacturing Innovation!
Called AFFOA, the institute focuses on advanced fibers and textiles and is led by MIT.
Go here for more information.
AFFOA recently announced that it will establish a Fabric Discovery Center here at Drexel.

Check out "Level Set Morphing Goes to Hollywood!"

I am affiliated with the Center for Visual and Decision Informatics, the Center for Functional Fabrics, and the Center for Biological Discovery from Big Data.

I collaborate with six research teams:

Dr. Mark Zarella of Drexel University College of Medicine's Advanced Pathology Imaging Laboratory and Dr. Fernando Garcia of Cancer Treatment Centers of America,
Genevieve Dion's Shima Seiki Haute Technology Laboratory, Dr. Antonios Kontsos' Theoretical and Applied Mechanics Group, Dr. Vadim Shapiro's Spatial Automation Laboratory and the (Randy) Kamien Group,
Dr. Jessica Hodgins and Dr. Jim McCann of the Carnegie Mellon University Computer Graphics Lab,
Dr. Lining Yao of the Carnegie Mellon University Morphing Matter Lab,
Dr. Ken Museth of Voxel Tech Inc.,
a team led by Dr. Ali Shokoufandeh in Drexel's Computer Science Department.

I am an Organizing Committee Member for the 2019 International Conference on Biotechnology and Bioinformatics.
I am currently on the Program Committee of
      the 2019 International Work-Conference on Bioinformatics and Biomedical Engineering,
      the 2019 Genetic and Evolutionary Computation Conference (GECCO),
      the 2019 Conference on Artificial Life,
      the 2019 International Conference on System Modeling and Optimization.

Teaching

Research Interests

Geometry is the technical thread that runs through most of my research. This may include geometric computation, geometric modeling, and geometric analysis.
Having studied physics as an undergraduate, physics-based modeling also is a frequent theme in my research, which can be seen in my energy-based optimization and simulation work.

Since I am fascinated by living systems and how they work, I have worked extensively with biologists, biomedical engineers and physicians. This has led to my research efforts in geometric biomedical computing. This is a research area that lies at the intersection of biology, medicine, engineering and computer science, and one that develops algorithms and software to solve geometry-related computing problems for a variety of biomedical applications.

I am intrigued by the dynamic processes that aggregate small-scale, local interactions to produce large-scale, self-organizing macroscopic behavior and structures.

I have also returned to my technical roots (cloth modeling) by getting involved with the research at the Center for Functional Fabrics.
I am helping to develop computational technologies needed for the design of advanced textiles.

I am currently involved in six research projects:

shape and image analysis for computer-aided diagnosis of breast tumors,

computational technologies for the design of knitted structures,

a system for 3D content-based data management,

design tools for deforming printed structures,

swarm-based prediction techniques,

feature-based 3D level set morphing.

My research is funded by the National Science Foundation, the Commonwealth of Pennsylvania, and the Center for Visual and Decision Informatics.