Department of Mathematics
 Search | Help | Login | pdf version | printable version

Math @ Duke





.......................

.......................


Research Interests for John Harer

Research Interests: Computational Topology, Computational Biology, Algorithms

Professor Harer's primary research is in the use of geometric, combinatorial and computational techniques to study a variety of problems in data analysis, shape recognition, image segmentation, tracking, brain imaging, biological networks and gene expression.

Keywords:
Algorithms, Automatic Data Processing, Biomass, Chromosome Mapping, Crosses, Genetic, Genome, Plant, Genotype, Image Processing, Computer-Assisted, Imaging, Three-Dimensional, Inbreeding, Models, Biological, Multivariate Analysis, Oryza sativa, Phenotype, Plant Roots, Principal Component Analysis, Quantitative Trait Loci, Quantitative Trait, Heritable, Recombination, Genetic, Reproducibility of Results, Software, Workflow
Current projects:
Biochronicity
Computational Topology
Statistical Topology
Self-Healing Networks
Network Inference
Geometric Image Analysis
Areas of Interest:

Computational Biology
Computational Topology
Dynamics on Networks
Algorithms

Recent Publications
  1. Bendich, P; Chin, SP; Clark, J; Desena, J; Harer, J; Munch, E; Newman, A; Porter, D; Rouse, D; Strawn, N; Watkins, A, Topological and statistical behavior classifiers for tracking applications, IEEE Transactions on Aerospace and Electronic Systems, vol. 52 no. 6 (December, 2016), pp. 2644-2661 [doi[abs]
  2. McGoff, KA; Guo, X; Deckard, A; Kelliher, CM; Leman, AR; Francey, LJ; Hogenesch, JB; Haase, SB; Harer, JL, The Local Edge Machine: inference of dynamic models of gene regulation., Genome Biology: biology for the post-genomic era, vol. 17 no. 1 (October, Submitted, 2016), pp. 214 [abs]
  3. Bendich, P; Gasparovic, E; Harer, J; Tralie, C, Geometric models for musical audio data, LIPIcs, vol. 51 (June, 2016), pp. 65.1-65.5, ISBN 9783959770095 [doi[abs]
  4. Bendich, P; Gasparovic, E; Harer, J; Izmailov, R; Ness, L, Multi-scale local shape analysis and feature selection in machine learning applications, Proceedings of the International Joint Conference on Neural Networks, vol. 2015-September (September, Accepted, 2015) [doi[abs]
  5. Perea, JA; Deckard, A; Haase, SB; Harer, J, SW1PerS: Sliding windows and 1-persistence scoring; discovering periodicity in gene expression time series data., BMC Bioinformatics, vol. 16 (August, 2015), pp. 257 [doi[abs]

 

dept@math.duke.edu
ph: 919.660.2800
fax: 919.660.2821

Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320