Peer Reviewed Publications from our REU Site

  • [7]. Katherine Yi, Angelina Dewar, Tartela Tabassum, Zhengze Lu, Ray Chen, Homayra Alam, Omar Faruque, Sikan Li, Mathieu Morlighem, Jianwu Wang. Evaluating Machine Learning and Statistical Models for Greenland Bed Topography. Accepted by the 22nd IEEE International Conference on Machine Learning and Applications (ICMLA) 2023.
  • [6]. Nithya Navarathna and Matthias K. Gobbert. The Power of GPUs in Machine Learning to Improve Proton Beam Therapy for Cancer Treatment. UMBC Review: Journal of Undergraduate Research, 24:51–69, 2023.
  • [5]. Joseph Clark, Anaise Gaillard, Justin Koe, Nithya Navarathna, Daniel Kelly, Matthias Gobbert, Carlos Barajas and Jerimy Polf. Multi-Layer Recurrent Neural Networks for the Classification of Compton Camera Based Imaging Data for Proton Beam Cancer Treatment, Accepted by the 2022 National Symposium for NSF REU Research in Data Science, Systems, and Security (REU 2022 Symposium), IEEE, 2022.
  • [4]. Jorge López González, Theodore Chapman, Kathryn Chen, Hannah Nguyen, Logan Chambers, Jianwu Wang, Seraj A.M. Mostafa, Sanjay Purushotham, Chenxi Wang and Jia Yue. Atmospheric Gravity Wave Detection Using Transfer Learning Techniques. the 9th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2022), IEEE, 2022.
  • [3]. Sokhna York, Alina Ali, David Lashbrooke, Rodrigo Yepez-Lopez, Carlos Barajas, Matthias Gobbert, Jerimy Polf. Promising Hyperparameter Configurations for Deep Fully Connected Neural Networks to Improve Image Reconstruction in Proton Radiotherapy, Accepted by the 2021 National Symposium for NSF REU Research in Data Science, Systems, and Security (REU 2021 Symposium), IEEE, 2021.
  • [2]. Eliot Kim, Peter Kruse, Skylar Lama, Jamal Bourne, Michael Hu, Sahara Ali, Yiyi Huang, Jianwu Wang. Multi-Task Deep Learning Based Spatiotemporal Arctic Sea Ice Forecasting. Accepted by the 2021 IEEE International Conference on Big Data (BigData 2021), IEEE, 2021.
  • [1]. Matthias K. Gobbert, Jianwu Wang. Lessons from an Online Multidisciplinary Undergraduate Summer Research Program. Accepted by the 17th International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS 2021).