Timothy J. Becker
Assistant Professor
Computing Sciences
College of Arts and Sciencestbecker@hartford.edu 860.768.4502 D 310A
Education
PhD, University of Connecticut
BS, University of Hartford
BA, University of Hartford
Timothy James Becker is a graduate of Computer Science and Engineering with a concentration in Bioinformatics from the University of Connecticut. His research spans a wide range of applied algorithms and integrative science. He first graduated from The Hartt School, majoring in Music Production and Technology while minoring in Jazz Guitar and then later graduated from the College of Arts and Sciences majoring in Computer Science while minoring in Math. He uses his passion and experience in informatics to challenge students to think critically.
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, “Structural variation calling and genotyping by moment-based deep convolutional neural networks”, International Journal of Data Mining and Bioinformatics (IJDBM), 25:1-2, 37-52 (2021). https://doi.org/10.1504/IJDMB.2021.116880
Timothy Becker and Dong-Guk Shin, “Efficient methods for hierarchical multi-omic feature extraction and visualisation”, International Journal of Data Mining and Bioinformatics (IJDMB), 23:4,285-298 (2020). https://doi.org/10.1504/IJDMB.2020.108699
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.
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.
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).
Timothy Becker and Dong-Guk Shin, “Structural variation calling and genotyping by moment-based deep convolutional neural networks”, International Journal of Data Mining and Bioinformatics (IJDBM), 25:1-2, 37-52 (2021). https://doi.org/10.1504/IJDMB.2021.116880
Timothy Becker and Dong-Guk Shin, “Efficient methods for hierarchical multi-omic feature extraction and visualisation”, International Journal of Data Mining and Bioinformatics (IJDMB), 23:4,285-298 (2020). https://doi.org/10.1504/IJDMB.2020.108699
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.
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.
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).