I love computer science and explore research, teaching, and applications in data science, artificial intelligence, scientific computing, and education
Qualifications
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
- Dapamede T., Chapagain KM., Moghiseh M., Atlas J., Butler PH. and Butler APH. (2023) Probability Mapping of Spectral CT Material Decomposition to Aid in Determining Material Identification and Quantification Likelihood. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 13836 LNCS: 202-213. http://dx.doi.org/10.1007/978-3-031-25825-1_15.
- Dobbs H., Batchelor O., Green R. and Atlas J. (2023) Smart-Tree: Neural Medial Axis Approximation of Point Clouds for 3D Tree Skeletonization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 14062 LNCS: 351-362. http://dx.doi.org/10.1007/978-3-031-36616-1_28.
- Smith A., Atlas J. and Atharifard A. (2023) Correcting Charge Sharing Distortions in Photon Counting Detectors Utilising a Spatial-Temporal CNN. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 13836 LNCS: 75-90. http://dx.doi.org/10.1007/978-3-031-25825-1_6.
- 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.