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. Garagić, D; Peskoe, J; Liu, F; Claffey, MS; Bendich, P; Hineman, J; Borggren, N; Harer, J; Zulch, P; Rhodes, BJ, Upstream fusion of multiple sensing modalities using machine learning and topological analysis: An initial exploration, Ieee Aerospace Conference Proceedings, vol. 2018-March (June, 2018), pp. 1-8, ISBN 9781538620144 [doi[abs]
  2. Tralie, CJ; Smith, A; Borggren, N; Hineman, J; Bendich, P; Zulch, P; Harer, J, Geometric Cross-Modal Comparison of Heterogeneous Sensor Data, Proceedings of the 39th IEEE Aerospace Conference (March, 2018) [abs]
  3. Hughes, ME; Abruzzi, KC; Allada, R; Anafi, R; Arpat, AB; Asher, G; Baldi, P; de Bekker, C; Bell-Pedersen, D; Blau, J; Brown, S; Ceriani, MF; Chen, Z; Chiu, JC; Cox, J; Crowell, AM; DeBruyne, JP; Dijk, D-J; DiTacchio, L; Doyle, FJ; Duffield, GE; Dunlap, JC; Eckel-Mahan, K; Esser, KA; FitzGerald, GA; Forger, DB; Francey, LJ; Fu, Y-H; Gachon, F; Gatfield, D; de Goede, P; Golden, SS; Green, C; Harer, J; Harmer, S; Haspel, J; Hastings, MH; Herzel, H; Herzog, ED; Hoffmann, C; Hong, C; Hughey, JJ; Hurley, JM; de la Iglesia, HO; Johnson, C; Kay, SA; Koike, N; Kornacker, K; Kramer, A; Lamia, K; Leise, T; Lewis, SA; Li, J; Li, X; Liu, AC; Loros, JJ; Martino, TA; Menet, JS; Merrow, M; Millar, AJ; Mockler, T; Naef, F; Nagoshi, E; Nitabach, MN; Olmedo, M; Nusinow, DA; Ptáček, LJ; Rand, D; Reddy, AB; Robles, MS; Roenneberg, T; Rosbash, M; Ruben, MD; Rund, SSC; Sancar, A; Sassone-Corsi, P; Sehgal, A; Sherrill-Mix, S; Skene, DJ; Storch, K-F; Takahashi, JS; Ueda, HR; Wang, H; Weitz, C; Westermark, PO; Wijnen, H; Xu, Y; Wu, G; Yoo, S-H; Young, M; Zhang, EE; Zielinski, T; Hogenesch, JB, Guidelines for Genome-Scale Analysis of Biological Rhythms., Journal of Biological Rhythms, vol. 32 no. 5 (October, 2017), pp. 380-393 [doi[abs]
  4. 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]
  5. 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, vol. 17 no. 1 (October, Submitted, 2016), pp. 214 [doi[abs]