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Timothy J. Becker

Assistant Professor

Computing Sciences

College of Arts and Sciences
860.768.4502 D 310A
Education

MS, University of Connecticut

BS, University of Hartford

BA, University of Hartford


Timothy James Becker is a PhD candidate in Computer Science at the University of Connecticut with research spanning a wide range of applied algorithms and integrative science. He is a two-time UHart alumnus with degrees from The Hartt School and the College of Arts and Sciences. He teaches Computer Science, Computer Science and Engineering, and Multimedia Web Design and Development courses, and uses his passion and experience in informatics to challenge students to think critically.

Facutly Page/GitHub Profile

 

Timothy Becker and Dong-Guk Shin, “Efficient methods for hierarchical multi-omic feature extraction and visualisation”, International Journal of Data Mining and Bioinformatics (IJDMB), 23, 4 (2020). https://doi.org/10.1504/IJDMB.2020.108699

Timothy Becker, et al. “FusorSV: an algorithm for optimally combining data from multiple structural variation detection methods”, Genome Biology 19, 38 (2018). https://doi.org/10.1186/s13059-018-1404-6

Timothy Becker and Dong-Guk Shin, “TensorSV: structural variation inference using tensors and variable topology neural networks” 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Seoul, Korea (South), December 16-19, (2020).

Timothy Becker and Dong-Guk Shin, "HFM: Hierarchical Feature Moment Extraction for Multi-Omic Data Visualization," 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), San Diego, CA, USA, November 18-21, (2019), pp. 1970-1976, doi: 10.1109/BIBM47256.2019.8983015.

Timothy Becker. “A General Perceptual Model for Eldercare Robots”, Association for the Advancement of Artificial Intelligence Conference Workshops (AAAI), San Francisco, August 7-11, (2011).

Mary Becker, Timothy Becker, Christopher Bellucci. “Diatom tolerance metrics to identify total phosphorus as candidate cause of aquatic life impairment in Connecticut, USA freshwater streams”, Ecological Indicators 93, pp. 638-646 (2018). https://doi.org/10.1016/j.ecolind.2018.05.046.