James Atlas

Senior LecturerJames Atlas

Jack Erskine 301
Internal Phone: 90307
I love computer science and explore research, teaching, and applications in data science, artificial intelligence, scientific computing, and education


Research Interests

My research interests are artificial intelligence, machine learning, constraint optimization, distributed and high performance computing, scientific computing, and computer science education. I explore applications in medical data, earth and space exploration, and multi-agent and mobile systems.

My current projects include machine learning models for prediction of health conditions and treatment efficacy, improved optimization for designing and training deep learning networks, adaptive sampling for scientific simulation, uncertainty reasoning for dynamic agent systems, improved curriculum and policies for primary and secondary professional development, service learning partnerships between students and community educators, and gamification of threshold concepts in computer science.

Recent Publications

  • Butler PH., Adebileje SA., Alexander SD., Amma MR., Amjomrouz M., Asghariomabad F., Atharifard A., Atlas J., Bamford B. and Bell ST. (2019) MARS pre-clinical imaging: The benefits of small pixels and good energy data. In Proceedings of SPIE - The International Society for Optical Engineering 11113 http://dx.doi.org/10.1117/12.2532367.
  • Roberts D., Enszer JA., Jayne AA., Rooney SI., Trauth A., Novocin A. and Atlas J. (2019) FLC E2T: A faculty learning community on effective (and efficient) teaching. In ASEE Annual Conference and Exposition, Conference Proceedings.
  • Pollock L., Atlas J., Bell T. and Henderson T. (2018) A Computer Science Study Abroad with Service Learning: Design and Reflections. In Proceedings SIGCSE '18: 485-490. ACM Digital Library. http://dx.doi.org/10.1145/3159450.3159589.
  • Pollock L., Harvey T., Atlas J. and Mouza C. (2018) Customizing a Field Experience for CS Undergrads in Teaching Computer Science for Your School Context. In Proceedings SIGCSE 2018: 1057-1057. ACM Digital Library.
  • Duncan C., Bell T. and Atlas J. (2017) What do the teachers think? Introducing computational thinking in the primary school curriculum. In ACM International Conference Proceeding Series: 65-74. http://dx.doi.org/10.1145/3013499.3013506.