Dr. Matthias K Gobbert

Dr. Matthias K Gobbert

Professor · Tenured

Department of Information Systems Department of Mathematics and Statistics

College of Natural and Mathematical Sciences

About

Dr. Gobbert joined UMBC in 1997. He has graduated eight PhD and seven MS students, worked with more than 12 UMBC undergraduate students on research, plus many more in several REU Sites. Dr. Gobbert has more than 200 publications including 40 in peer-reviewed journals and 40 in refereed conferences. He is very active in shared governance on campus and endeavors to improving this teaching by working with the Faculty Development Center at UMBC.

Research interests

- Scientific computing and parallel algorithms for computing clusters and other architectures
- Machine learning techniques for applications of Big Data in science and engineering
- Multiscale modeling and numerical simulation of chemically reactive flows
- Numerical methods for stationary and time-dependent partial differential equations
- Applications in the life sciences, computational biology, engineering, statistics, and other areas

Teaching interests

Numerical Analysis; Computational Methods; Numerical Methods for Partial Differential Equations; Scientific and Parallel Computing; AI and Machine Learning.

Education

  • Ph D, Mathematics — Arizona State University (1996)
    A Homogenization Technique for the Development of Mesoscopic Scale Models for Chemical Vapor Deposition

Publications

  • Geant4-Based Simulation and Image Reconstruction of Tc-99m for Radiopharmaceutical Imaging 2025 2025 IEEE International Conference on Data Mining Workshops (ICDMW 2025) · 2025 IEEE International Conference on Data Mining Workshops (ICDMW 2025) · pp. 2003-2011 Ehsan Shakeri, Matthias K Gobbert, Vijay R Sharma, Lei Ren, Ananta Chalise, Stephen W Peterson, Jerimy C Polf
  • Large-Scale Optimizations in Proton Beam Radiotherapy by Neural Network Denoising of Robust Simulated Patient Data 2025 2025 IEEE International Conference on Data Mining Workshops (ICDMW 2025) · 2025 IEEE International Conference on Data Mining Workshops (ICDMW 2025) · pp. 2807-2815 Angelo Calingo, Bikash Gautam, Peter L Jin, Sidhya Pathak, Michelle Zhao, Hussam Fateen, Harrison Lewis, Matthias K Gobbert, Vijay R Sharma, Lei Ren, Ananta Chalise, Stephen W Peterson, Jerimy C Polf
  • Modeling Prompt Gamma (PG) Emission, Detection and Imaging in Real Patient Anatomy Using a Novel Compton Camera for Dose Verification in Proton Therapy 2025 Phys. Med. Biol. · 70 · pp. 125004 Vijay R Sharma, Zhuoran Jiang, Sina Mossahebi, Ehsan Shakeri, Ananta Chalise, Matthias K Gobbert, Stephen W Peterson, Jerimy C Polf, Lei Ren
  • Accelerating Real-Time Imaging for Radiotherapy: Leveraging Multi-GPU Training with PyTorch 2024 2023 International Conference on Machine Learning and Applications (ICMLA 2023) · pp. 1727-1734 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, Jerimy C Polf
  • Applications of Machine Learning to Improve the Clinical Viability of Compton Camera Based in vivo Range Verification in Proton Radiotherapy 2022 Frontiers in Physics · 10 · pp. 838273 Jerimy C Polf, Carlos A Barajas, Stephen W Peterson, Dennis S Mackin, Sam Beddar, Lei Ren, Matthias K Gobbert
  • Long-Time Simulations with Complex Code using Multiple Nodes of Intel Xeon Phi Knights Landing 2018 Journal of Computational and Applied Mathematics · Journal of Computational and Applied Mathematics · 337 · pp. 18-36 Jonathan S Graf, Matthias K Gobbert, Samuel Khuvis
  • Parallelizing Computation of Expected Values in Recombinant Binomial Trees 2018 Journal of Statistical Computation and Simulation · 88 (4) · pp. 657-674 Sai K Popuri, Andrew M Raim, Nagaraj k Neerchal, Matthias K Gobbert
  • Examining the Electrical Excitation, Calcium Signaling, and Mechanical Contraction Cycle in a Heart Cell 2017 Spora: A Journal of Biomathematics · 3 · pp. 66-85 Kristen Deetz, Nygel Foster, Darius Leftwich, Chad Meyer, Shalin Patel, Matthias K Gobbert, Carlos Barajas, Zana A Coulibaly
  • Multidisciplinary Education on Big Data + HPC + Atmospheric Sciences 2017 EduHPC-17: Workshop on Education for High-Performance Computing Jianwu Wang, Matthias K Gobbert, Zhibo Zhang, Aryya Gangopadhyay, Glenn G Page
  • Spatio-Temporal Analysis of Precipitation Data via a Sufficient Dimension Reduction in Parallel 2016 JSM Proceedings, Section on Statistics and the Environment · American Statistical Association · (3805-3815) Sai K Popuri, Ross Flieger-Allison, Lois Miller, Danielle Sykes, Pablo Valle, Nagaraj k Neerchal, Kofi Placid Adragni, Amita V Mehta, Matthias K Gobbert
  • A Memory-Efficient Finite Volume Method for Advection-Diffusion-Reaction Systems with Non-Smooth Sources 2015 Numerical Methods for Partial Differential Equations · 31 (1) · pp. 143-167 Jonas Schafer, Xuan Huang, Stefan Kopecz, Philipp Birken, Matthias K Gobbert, Andreas Meister
  • Calcium Induced Calcium Release with Stochastic Uniform Flux Density in a Heart Cell 2015 47th Summer Computer Simulation Conference 2015 (SCSC 2015) · pp. 6 pages Matthew W Brewster, Jonathan S Graf, Xuan Huang, Zana Coulibaly, Matthias K Gobbert, Bradford E Peercy
  • Investigation of a Novel Snout-Mounted Quad-Compton Camera System for In Vivo Proton Dose Verification via Prompt Gamma Imaging IEEE Transactions on Radiation and Plasma Medical Sciences Vijay R Sharma, Ehsan Shakeri, Zhuoran Jiang, Sina Mossahebi, Ananta Chalise, Matthias K Gobbert, Stephen W Peterson, Jerimy C Polf, Lei Ren
  • Improving Gamma Imaging in Proton Therapy by Sanitizing Compton Camera Simulated Patient Data using Neural Networks through the BRIDE Pipeline 2024 IEEE International Conference on Big Data (IEEE Big Data 2024) 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, Jerimy C Polf
  • Team-Based Online Learning in Multidisciplinary Research and Instruction The 18th International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS'22) · Accepted Matthias K Gobbert, Wang
  • Exploring Deep Learning to Improve Compton Camera Based Prompt Gamma Image Reconstruction for Proton Radiotherapy The 17th International Conference on Data Science (ICDATA'21) · Accepted Gerson C Kroiz, Carlos A Barajas, Matthias K Gobbert, Jerimy C Polf
  • Lessons from an Online Multidisciplinary Undergraduate Summer Research Program The 17th International Conference on Frontiers in Education: Computer Science & Computer Engineering (FECS'21) · Accepted Matthias K Gobbert, Jianwu Wang

Presentations

  • Team-Based Online Learning in Multidisciplinary Research and Instruction 2022 The 18th International Conference on Frontiers in Education: Computer Science & Computer Engineering (FECS'22) · The 2022 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'22) · Oral Presentation Matthias K Gobbert (Author & Presenter), Jianwu Wang (Author)
  • Lessons from an Online Multidisciplinary Undergraduate Summer Research Program 2021 The 17th International Conference on Frontiers in Education: Computer Science & Computer Engineering (FECS'21) · The 2021 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'21) · Oral Presentation Matthias K Gobbert (Author & Presenter), Jianwu Wang (Author)
  • Exploring Deep Learning to Improve Compton Camera Based Prompt Gamma Image Reconstruction for Proton Radiotherapy 2021 The 17th International Conference on Data Science (ICDATA'21) · The 2021 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'21) · Oral Presentation Gerson C Kroiz (Author), Carlos A Barajas (Author), Matthias K Gobbert (Author & Presenter), Jerimy C Polf (Author)
  • Online Training in Team-Based Multidisciplinary Research on Big Data + High-Performance Computing + Atmospheric Sciences under the CyberTraining Initiative 2021 SIAM Conference on Computational Science & Engineering · Society for Industrial and Applied Mathematics (SIAM) · Poster Matthias K Gobbert (Author & Presenter), Jianwu Wang (Author), Aryya Gangopadhyay (Author), Zhibo Zhang (Author)
  • Team-Based Online Multidisciplinary Education on Big Data + High-Performance Computing + Atmospheric Sciences 2020 The 16th International Conference on Frontiers in Education: Computer Science & Computer Engineering (FECS'20) · The American Council on Science and Education (ACSE) · Oral Presentation Jianwu Wang (Author), Matthias K Gobbert (Author & Presenter), Zhibo Zhang (Author), Aryya Gangopadhyay (Author)
  • The UMBC High Performance Computing Facility 2019 NIMBioS Investigative Workshop Scientific Collaboration Enabled by High Performance Computing · National Institute for Mathematical and Biological Synthesis (NIMBioS), University of Tennessee · Poster Carlos Barajas (Author), Reetam Majumder (Author), Matthias K Gobbert (Author & Presenter)
  • Multidisciplinary Education on Big Data + HPC + Atmospheric Sciences 2017 EduHPC-17: Workshop on Education for High-Performance Computing · ACM · Oral Presentation Jianwu Wang (Author), Matthias K Gobbert (Author & Presenter), Zhibo Zhang (Author), Aryya Gangopadhyay (Author), Glenn G Page (Author)
  • Challenges and Opportunities in Real-World Simulations on Modern Parallel Computing Platforms 2017 5th Regional Undergraduate Mathematics Research Conference · Towson University · Keynote/Plenary Address
  • Challenges and Opportunities in Long-Time Simulations of PDEs on Modern Parallel Computing Platforms 2015 Workshop on Recent Developments in the Numerics of Nonlinear Hyperbolic Conservation Laws · Mathematical Research Institute Oberwolfach · Oral Presentation
  • Numerical Methods for Long-Time Simulations of Parabolic PDEs on Modern Parallel Computing Platforms 2015 Oberseminar · Arbeitsgruppe Analysis und Angewandte Mathematik, Universitaet Kassel · Oral Presentation
  • The UMBC High Performance Computing Facility 2015 Spring 2015 Research Forum: High-Performance Computing · UMBC · Oral Presentation
  • Course Redesign as Strategic Tool to Consolidate Foundation Courses 2014 Spring 2014 Meeting of the MD-DC-VA Section of the MAA · MAA · Oral Presentation Matthias K Gobbert (Author & Presenter), Rajalakshm J Baradwaj (Author), Elizabeth Stanwyck (Author), Nagaraj k Neerchal (Author)
  • Undergraduate Research on the Fast Track: From Nothing to Publication in Eight Weeks 2014 AMS Eastern Sectional Meeting · AMS · Oral Presentation
  • Numerical Methods for Long-Time Simulations of Partial Differential Equations on Modern Parallel Computing Platforms 2014 AMS Southeastern Sectional Meeting · AMS · Oral Presentation

Grants and Contracts

  • REU Site: Online Interdisciplinary Big Data Analytics in Science and Engineering 2021 NSF · Grant · Funded Jianwu Wang (Principal), Matthias K Gobbert (Co-Principal)
  • MRI: Acquisition of Cutting-Edge GPU and Phi Nodes for the Interdisciplinary UMBC High Performance Computing Facility 2017 NSF · Grant Matthias K Gobbert (Principal), Meilin Yu (Co-Principal), Jianwu Wang (Co-Principal), Daniel Lobo (Co-Principal), Zhibo Zhang (Co-Principal)
  • MRI: Acquisition of Cutting-Edge GPU and Phi Nodes for the Interdisciplinary UMBC High Performance Computing Facility 2017 NSF · Grant · Currently Under Review Meilin Yu (Co-Principal), Matthias Gobbert (Principal)
  • RTK-FisVis: Real-Time Interactive Fluid Simulation and Visualization Toolkit 2017 NSF · Grant · Not Funded Meilin Yu (Principal), Matthias Gobbert (Co-Principal), Adam Bargteil (Co-Principal)
  • REU Site: Interdisciplinary Program in High Performance 2017 NSA · Grant · Funded Matthias K Gobbert (Principal), Nagaraj k Neerchal (Co-Principal), Bradford E Peercy (Co-Principal), Kofi Placid Adragni (Co-Principal)
  • REU Site: Interdisciplinary Program in High Performance 2016 NSA · Grant · Funded Matthias K Gobbert (Principal), Nagaraj k Neerchal (Co-Principal), Bradford E Peercy (Co-Principal), Kofi Placid Adragni (Co-Principal)
  • REU Site: Interdisciplinary Program in High Performance 2015 NSF/DOD · Grant · Funded Matthias K Gobbert (Principal), Nagaraj k Neerchal (Co-Principal), Bradford E Peercy (Co-Principal), Kofi Placid Adragni (Co-Principal)
  • REU Site: Interdisciplinary Program in High Performance 2015 NSF/DOD · Grant · Funded Matthias K Gobbert (Principal), Nagaraj k Neerchal (Co-Principal), Bradford E Peercy (Co-Principal), Kofi Placid Adragni (Co-Principal)
  • REU Site: Interdisciplinary Program in High Performance 2015 NSA · Grant · Funded Matthias K Gobbert (Principal), Nagaraj k Neerchal (Co-Principal), Bradford E Peercy (Co-Principal), Kofi Placid Adragni (Co-Principal)
  • REU Site: Interdisciplinary Program in High Performance 2015 NSA · Grant · Funded Matthias K Gobbert (Principal), Nagaraj k Neerchal (Co-Principal), Bradford E Peercy (Co-Principal), Kofi Placid Adragni (Co-Principal)
  • CC*IIE Networking Infrastructure: Enabling Big Computing and Data Intensive Cyberinfrastructure (EBCDIC) 2014 NSF · Grant · Funded Matthias Gobbert (Co-Principal), Jack Suess (Principal), Donald Edward Engel (Co-Principal)

Research in Progress

  • Deep Learning to Classify Compton Camera Based Prompt Gamma Imaging for Proton Radiotherapy 2019 Scholarly · On-Going Matthias K Gobbert, Jerimy C Polf
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