Peer-Reviewed Publications from our REU Site
- [9] Ruth Obe, Brandt Kaufmann, Kaelen Baird, Sam Kadel, Yasmin Soltani, Mostafa Cham, Matthias K. Gobbert, Carlos A. Barajas, Zhuoran Jiang, Vijay R. Sharma, Lei Ren, Stephen W. Peterson, and Jerimy C. Polf. Accelerating Real-Time Imaging for Radiotherapy: Leveraging Multi-GPU Training with PyTorch. In 22nd IEEE International Conference on Machine Learning and Applications (ICMLA), pages 1735-1742, 2023.
- [8] Katherine Yi, Angelina Dewar, Tartela Tabassum, Jason Lu, Ray Chen, Homayra Alam, Omar Faruque, Sikan Li, Mathieu Morlighem, and Jianwu Wang. Evaluating Machine Learning and Statistical Models for Greenland Subglacial Bed Topography. In 22nd IEEE International Conference on Machine Learning and Applications (ICMLA), pages 659-666, 2023.
- [7] Nithya Navarathna. 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.
- [6] Joseph Clark, Anaise Gaillard, Justin Koe, Nithya Navarathna, Daniel J. Kelly, Matthias K. Gobbert, Carlos A. Barajas, and Jerimy C. Polf. Multi-Layer Recurrent Neural Networks for the Classification of Compton Camera Based Imaging Data for Proton Beam Cancer Treatment, In 9th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2022), pages 213-222, 2022.
- [5] 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. In 9th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2022), pages 128-137, 2022.
- [4] Matthias K. Gobbert and Jianwu Wang. Team-Based Online Learning in Multidisciplinary Research and Instruction, In The 18th International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS 2022), in press (2022).
- [3] Sokhna A. York, Alina M. Ali, David C. Lashbrooke, Rodrigo Yepez-Lopez, Carlos A. Barajas, Matthias K. Gobbert, and Jerimy C. Polf. Promising Hyperparameter Configurations for Deep Fully Connected Neural Networks to Improve Image Reconstruction in Proton Radiotherapy, In 2021 IEEE International Conference on Big Data (Big Data 2021), pages 5648-5657, 2021.
- [2] Eliot Kim, Peter Kruse, Skylar Lama, Jamal Bourne, Michael Hu, Sahara Ali, Yiyi Huang, and Jianwu Wang. Multi-Task Deep Learning Based Spatiotemporal Arctic Sea Ice Forecasting. In 2021 IEEE International Conference on Big Data (Big Data 2021), pages 1847-1857, 2021.
- [1] Matthias K. Gobbert and Jianwu Wang. Lessons from an Online Multidisciplinary Undergraduate Summer Research Program. In The 17th International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS 2021), in press (2021).