Publications

Peer-Reviewed Publications from our REU Site:

• [11] Michael O. Chen, Julian Hodge, Peter L. Jin, Ella Protz, Elizabeth Wong, Ruth Obe, Ehsan Shakeri, Mostafa Cham, Matthias K. Gobbert, Carlos A. Barajas, Vijay R. Sharma, Sina Mossahebi, Lei Ren, Stephen W. Peterson, and Jerimy C. Polf. Improving gamma imaging in proton therapy by sanitizing Compton camera simulated patient data using neural networks through the BRIDE pipeline. In 2024 IEEE International Conference on Big Data (IEEE Big Data 2024), in press (2024).
• [10] Olivia Zhang, Brianna Grissom, Julian Pulido, Kenia Munoz-Ordaz, Jonathan He, Mostafa Cham, Haotong Jing, Weikang Qian, Yixin Wen, and Jianwu Wang. Accurate and interpretable radar quantitative precipitation estimation with symbolic regression. In 2024 IEEE International Conference on Big Data (IEEE Big Data 2024), in press (2024).
• [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).

Technical Reports:

• [8] Michael O. Chen, Julian Hodge, Peter L. Jin, Ella Protz, Elizabeth Wong, Ruth Obe, Ehsan Shakeri, Mostafa Cham, Matthias K. Gobbert, Carlos A. Barajas, Zhuoran Jiang, Vijay R. Sharma, Lei Ren, Sina Mossahebi, Stephen W. Peterson, and Jerimy C. Polf. Using neural networks to sanitize Compton camera simulated data through the BRIDE pipeline for improving gamma imaging in proton therapy on the ada cluster,Technical Report HPCF–2024–5, UMBC High Performance Computing Facility, University of Maryland, Baltimore County, 2024. [pdf]
• [7] Olivia Zhang, Brianna Grissom, Julian Pulido, Kenia Munoz-Ordaz, Jonathan He, Mostafa Cham, Haotong Jing, Weikang Qian, Yixin Wen, and Jianwu Wang. Accurate and interpretable radar quantitative precipitation estimation with symbolic regression, Technical Report HPCF–2024–4, UMBC High Performance Computing Facility, University of Maryland, Baltimore County, 2024. [pdf]
• [6] Kaelen Baird, Sam Kadel, Brandt Kaufmann, Ruth Obe, Yasmin Soltani, Mostafa Cham, Matthias K. Gobbert, Carlos A. Barajas, Zhuoran Jiang, Vijay R. Sharma, Lei Ren, Stephen W. Peterson, and Jerimy C. Polf. Enhancing Real-Time Imaging for Radiotherapy: Leveraging Hyperparameter Tuning with PyTorch. Technical Report HPCF–2023–12, UMBC High Performance Computing Facility, University of Maryland, Baltimore County, 2023. [pdf]
• [5] 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 Bed Topography, Technical Report HPCF–2023–11, UMBC High Performance Computing Facility, University of Maryland, Baltimore County, 2023. [pdf]
• [4] Joseph Clark, Anaise Gaillard, Justin Koe, Nithya Navarathna, Daniel J. Kelly, Matthias K. Gobbert, Carlos A. Barajas, and Jerimy C. Polf. Sequence-Based Models for the Classification of Compton Camera Prompt Gamma Imaging Data for Proton Radiotherapy on the GPU Clusters Taki and Ada, Technical Report HPCF-2022-12, UMBC High Performance Computing Facility, University of Maryland, Baltimore County, 2022. [pdf]
• [3] Jorge López González, Theodore Chapman, Kathryn Chen, Hannah Nguyen, Logan Chambers, Seraj A. M. Mostafa, Jianwu Wang, Sanjay Purushotham, Chenxi Wang, and Jia Yue. Exploring Machine Learning based Atmospheric Gravity Wave Detection, Technical Report HPCF-2022-11, UMBC High Performance Computing Facility, University of Maryland, Baltimore County, 2022. [pdf]
• [2] Alina M. Ali, David C. Lashbrooke Jr., Rodrigo Yepez-Lopez, Sokhna A. York, Carlos A. Barajas, Matthias K. Gobbert, and Jerimy C. Polf. Imaging Proton Radiotherapy Using a Neural Network, Technical Report HPCF-2021-12, UMBC High Performance Computing Facility, University of Maryland, Baltimore County, 2021. [pdf]
• [1] Jamal Bourne Jr., Michael Hu, Eliot Kim, Peter Kruse, Skylar Lama, Sahara Ali, Yiyi Huang, and Jianwu Wang. Multi-Task Spatiotemporal Deep Learning Based Arctic Sea Ice Prediction, Technical Report HPCF-2021-11, UMBC High Performance Computing Facility, University of Maryland, Baltimore County, 2021. [pdf]