Alain Tchagang

Roles and responsibilities

Research Officer, Digital Technology Research Centre.

My research activities include: Artificial Intelligence, Machine Learning, Statistical Signal Processing and application to solve various problems in life science, physical science and engineering.

Current research and/or projects

Current Foundational Research

  1. Bayesian (deep) neural networks
  2. Inverse machine learning problems
  3. Statistical signal processing and subspace clustering
  4. Machine learning of dynamical systems design, control and simulations (PDEs)

Current Application Projects

  1. Machine learning and artificial intelligence for the design, simulation and discovery of novel molecules, drugs and materials with targeted properties from molecular dynamics and quantum mechanics calculations first principles.
  2. Design of control strategies for electric vehicle-to-X integration, with X = Home, Building, Vehicle, or Grid; and machine learning energy forecast for peak shaving and frequency regulations.
  3. Bioinformatics and computational systems biology: integrative Omics data mining for predictive and personalized medicine.
  4. Biomedical Engineering, Biomedical signal processing and Biomedical instrumentations.

Education

  • Ph.D. Biomedical Engineering, University of Minnesota, Minneapolis, MN, USA, 2007
  • M.Sc. Electrical Engineering, University of Minnesota, Minneapolis, MN, USA,  2004
  • Master Electrical Engineering, Ecole Nationale Superieure Polytechnique, Yaoundé, Cameroon, 2000
  • M.Sc. Physics, University of Yaoundé I, Cameroon, 1997
  • B.Sc. Physics, University of Yaoundé I, Cameroon, 1996

Affiliations

- IEEE member

- IEEE Engineering in Medicine and Biological Society (EMBS) Member

Awards

  • NRC-IIT Award Outstanding Research Achievement Award - 2009.

Inventions and patents

  1. Tchagang AB. Order-preserving clustering data analysis system and method. US and Canada Patent, 2013.

Key publications

  1. Tchagang AB and Valdés JB. A Classification Scheme for Inverse Design of Molecules: from Targeted Electronic Properties to Atomicity. 2019 https://arxiv.org/abs/1904.10321
  2. Tchagang AB and Valdés JB. Prediction of the Atomization Energy of Molecules Using Coulomb Matrix and Atomic Composition in a Bayesian Regularized Neural Networks. 2019. https://arxiv.org/abs/1904.10321
  3. Tchagang AB and Valdés JB.Discrete Fourier Transform Improves the Prediction of the Electronic Properties of Molecules in Quantum Machine Learning. 32nd IEEE-CCECE 2019. https://arxiv.org/abs/1904.03160
  4. Tchagang AB and Ashouri A. Accurate Energy Forecast in Buildings: A Data Driven Machine Learning Approach.  32nd IEEE-CCECE 2019
  5.  Tchagang AB and Yeong Yoo Y. Multi -objective optimization of combined peak shaving and frequency regulation in Vehicle-to-Building/Grid. 32nd Electric Vehicle Symposium (EVS32), Lyon, France, May19-22, 2019 (NRC-EME-56006)
  6. Tchagang AB. Bioinformatics Identification of Drug Gene Modules: Application to Clear Cell Carcinoma of the Ovary. 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
  7. Tchagang AB, Fauteux F, Tulpan D, Pan Y. Bioinformatics identification of new targets for improving low temperature stress tolerance in spring and winter wheat. BMC Bioinformatics, 2017, 18:174.
  8. Tchagang AB, Fauteux F, Pan Y. Integration of 3D gene expression patterns and gene regulatory networks for clinical applications in epithelial ovarian cancer.  IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). 2016.
  9. Tulpan D, Leger S, Tchagang AB, Pan Y. Enrichment of Triticum aestivum gene annotations using ortholog cliques and gene ontologies in other plants. BMC Genomics, 2015, 16:299
  10. Tchagang AB, Famili F, Pan Y. Subspace Clustering of DNA Microarray Data: Theory, Evaluation, and Applications. International Journal of Computational Models and Algorithms in Medicine (IJCMAM), IGI Global, 2014.
  11. Tchagang AB, Pan Y, Famili F, Tewfik AH, Benos PV. Biclustering of DNA Microarray Data: Theory, Evaluation, and Applications. Bioinformatics: Concepts, Methodologies, Tools, and Applications, IGI Global, 2013, 513-551
  12. Tchagang AB, Phan S, Famili F, Shearer H, Fobert P, Huang Y, Zou J, Huang D,  Cutler A, Liu Z, Pan Y. Mining biological information from 3D short time-series gene expression data: the OPTricluster algorithm. BMC Bioinformatics, 2012, 13:54.
  13. Tchagang AB, Gawronski A, Bérubé H, Phan S, Famili F, Pan Y. GOAL: A software tool for assessing biological significance of genes groups. BMC bioinformatics, 2010, 11 (1), 229

Previous work experience

  • Post.Doc. Computational and Systems Biology, School of Medicine University of Pittsburg, PA, USA, 2007-2008.

Additional links

Google Scholar: https://scholar.google.com/citations?user=u_Q0QvEAAAAJ&hl=en

GitHub: https://github.com/tableau

ResearchGate: https://www.researchgate.net/profile/Alain_Tchagang

arXiv: https://arxiv.org/search/quant-ph?searchtype=author&query=Tchagang%2C+A

Alain Tchagang

Senior Research Officer
Digital Technologies
1200 Montreal Road
Ottawa, Ontario K1A 0R6
Preferred language: French
Other(s): French
Telephone: 343-990-8484
Email: Alain.Tchagang@nrc-cnrc.gc.ca

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Expertise

Energy

From: National Research Council Canada

 
 
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