Takashi NAGATA

Email: takashin at uci dot edu

Takashi NAGATA is currently a PhD candidate working in the Neuromorphic Machine Intelligence Lab at University of California, Irvine towards a Ph.D. in Computer Science with a concentration in Reinforcement Learning.
He received his B.S. degrees in computer science from Tokyo University of Science, Japan, in 2008 and M.S. in 2010 respectively. He has 7+ years experience in total as a systems engineer in financial industry and a technical support engineer for BigData technologies especially Hadoop and its ecosystem such as Hive, HBase, and Spark etc.

Research Interests

I’m interested in the intersection of machine learning and cognitive science, and its application such as robotics.

Work Experience

Applied Scientist Intern, Amazon (A9 Visual Search & AR) Summer 2021
Applied Scientist Intern, Amazon (A9 Visual Search & AR) Summer 2020
Applied Scientist Intern, Amazon Summer 2019
Graduate Student Researcher / Teaching Assistant, UC Irvine Sep 2017 - present
Developer Support Engineer, Amazon Web Services Japan Apr 2013 - Aug 2017
Systems Engineer, Hewlett-Packard Japan, Ltd. Apr 2010 - Mar 2013

Education

M.S. Information Science, Tokyo University of Science, Japan. 2010
Concentration: Controlling multi-robots based on mobile agents.
Advisor: Prof. Munehiro Takimoto
B.S. Information Science, Tokyo University of Science, Japan. 2008
Concentration: Controlling multi-robots based on mobile agents.
Advisor: Prof. Munehiro Takimoto

Publications

Xing, J., Nagata, T., Chen, K., Zou, X., Neftci, E., & Krichmar, J.L. (2021). Domain Adaptation In Reinforcement Learning Via Latent Unified State Representation. AAAI'21.
Nagata, T., Takimoto, M., & Kambayashi, Y. (2013). Cooperatively Searching Objects Based on Mobile Agents. Trans. Comput. Collect. Intell., 11, 119-136.
Nagata, T., Takimoto, M., & Kambayashi, Y. (2009). Suppressing the Total Costs of Executing Tasks Using Mobile Agents. 2009 42nd Hawaii International Conference on System Sciences, 1-10.

Skills

COMPUTING SKILLS
Programming Languages: Python and Deep Learning frameworks (PyTorch and Tensorflow/Keras), Java, Matlab, and SQL
Operating Systems: Unix (hp-ux and Solaris) and Linux (RHEL and Ubuntu)
Other: Practical knowledge of Amazon Web Services and ITIL based service management (certified ITIL v3 Foundation)
LANGUAGE SKILLS
Japanese: Native
English: Fluent