# Publications

- Q. Mu, V. Tavella, J. Kirby, T. Cecere, M. Chung, J. Lee, S. Li, S. Ahmed, C. Reilly, and X. Luo. Antibiotics Ameliorate Lupus-like Symptoms in Mice, (7)1:15675. Scientific Reports, 2017.
- S. Karunarathne, M. Chung, and J. A. Ogejo. Compartmental process-based model for estimating ammonia emission from liquid dairy manure storage tank. Proceedings of the 2017 ASABE Annual International Meeting, 2017.
- M. Chung, J. Krueger, and M. Pop. Robust Parameter Estimation for Biological Systems: A Study on the Dynamics of Microbial Communities. Mathematical Bioscience, 294:71-84, 2017. [Supplementary Matlab Code]
- A. Carracedo Rodriguez, M. Chung, and S. M. Ciupe. Understanding the complex patterns observed during hepatitis B Virus therapy. Viruses, (9)117:1-15, 2017.
- J. Chung and M. Chung. Optimal regularized inverse matrices for inverse problems. SIAM Journal on Matrix Analysis and Applications, 38(2):458-477, 2017. [arXiv Preprint]
- Robert Smith et al., Population Modelling Working Group, Population Modelling by Examples II, SCSC '16 Proceedings of the Summer Computer Simulation Conference (SummerSim), No. 51, Montreal, Quebec, Canada - July 24 - 27, 2016. Society for Computer Simulation International, 2016.
- Y. Zhao, M. Chung, B.A. Johnson, C.S. Moreno, and Q. Long. Hierarchical Feature Selection Incorporating Known and Novel Biological Information: Identifying Genomic Features Related to Prostate Cancer Recurrence. Journal of the American Statistical Association, 111(516):1427-1439, 2016.
- J. Chung, M. Chung, and D.P. O’Leary. Optimal regularized low rank inverse approximation. Linear Algebra and its Applications, 468, 260-269, 2015.
- J. Chung and M. Chung. An Efficient Approach for Computing Optimal Low-Rank Regularized Inverse Matrices. 30(11), 1-19, Inverse Problems, 2014.
- J. Chung and M. Chung. Computing Optimal Low-Rank Matrix Approximations for Image Processing. Published in IEEE Proceedings of the Asilomar Conference on Signals, Systems, and Computers. November 3-6, 2013, Pacific Grove, CA, USA, 2013.
- B. Göbel, K.M. Oltmanns, and M. Chung. Linking neuronal activity to the glucose metabolism. Theoretical Biology and Medical Modelling, 10(50), 1-19, 2013.
- M. Chung, B.A. Johnson and Q. Long. A Tutorial on Rank-based Coefficient Estimation for Censored Data in Small- and Large-Scale Problems. Statistics and Computing, 23(5), 601-614, 2013. [Supplementary Matlab Code]
- S. McClellan, M. Casey, and M. Chung. Coherent Pre-Distortion of Low-Frequency PLC Carriers. The Sixth International Conference on Communication Theory, Reliability, and Quality of Service. Conference Proceedings, 29-34, 2013.
- E. Haber, M. Chung, and F. Hermann. An effective method for parameter estimation with PDE constraints with multiple right hand sides. SIAM Journal on Optimization, 22(3), 739–757, 2012.
- J. Chung, M. Chung, and D.P. O’Leary. Optimal error filters for image deconvolution with data acquisition errors. Journal of Mathematical Imaging and Vision, 44(3), 336-374, 2012.
- M. Chung and E. Haber. Experimental design in biological systems. SIAM Journal on Control and Optimization, 50(1): 471–489, 2012.
- M. Chung and B. Göbel. Advances in Systems Biology, chapter Mathematical Modeling of the Human Energy Metabolism based on the Selfish Brain Theory, pages 425–440. Springer, 2012.
- B. Göbel, M. Chung, K.M. Oltmanns, A. Peters, and D. Langemann. Robust modeling of appetite regulation. Journal of Theoretical Biology, 291:65–75, 2011.
- J. Chung, M. Chung, and D.P. O’Leary. Designing optimal spectral filters for inverse problems. SIAM Journal on Scientific Computing, 33(6):3132–3152, 2011.
- M. Chung, B. Göbel, A. Peters, K.M. Oltmanns, and A. Moser. A mathematical model of the brain’s energy sensing. Journal of Biomedical Science and Engineering, 4:136–145, 2011.
- Q. Long, M. Chung, C.S. Moreno, and B.A. Johnson. Risk prediction for prostate cancer recurrence through regularized estimation with simultaneous adjustment for nonlinear clinical effects. Annals of Applied Statistics, 5(3):2003–2023, 2011.
- B.A. Johnson, Q. Long, and M. Chung. On path restoration for censored outcomes. Biometrics, 67, 2011.
- B. Göbel, D. Langemann, K.M. Oltmanns, and M. Chung. Compact energy metabolism model: Brain controlled energy supply. Journal of Theoretical Biology, 264(4): 1214–1224, 2010.
- M. Conrad and B. A. Johnson. A quasi-Newton algorithm for efficient computation of Gehan estimates. Technical Report, Emory University, Department of Biostatistics and Bioinformatics, TR-2010-02, 2010.
- M. Conrad, C. Hubold, B. Fischer, and A. Peters. Modeling the Hypothalamus-Pituitary-Adrenal system: homeostasis by interacting positive and negative feedback. Journal of Biological Physics, 35:149–162, 2009.
- L. Ramrath, J. Levering, M. Conrad, A. Thuemen, H. Fuellgraf, and A. Moser. Mathematical identification of a neuronal network consisting of GABA and DA in striatal slices of the rat brain. Computational and Mathematical Methods in Medicine, 10(4):273–285, 2009.
- J. Olesch, N. Papenberg, T. Lange, M. Conrad, and B. Fischer. Matching CT and ultrasound data of the liver by landmark constrained image registration. Proceedings of SPIE (7261) 1: 72610G, 2009.
- M. Conrad and N. Papenberg. Iterative adaptive Simpson and Lobatto quadrature in Matlab. Technical Report, Emory University, Department of Mathematics and Computer Science, TR-2008-012, 2008.
- A. Peters, M. Conrad, C. Hubold, U. Schweiger, B. Fischer, and H. L. Fehm. The principle of homeostasis in the hypothalamus-pituitary-adrenal system: new insight from positive feedback. American Journal of Physiology: Regulatory, Integrative and Comparative Physiology, 293(1):R83–R98, 2007.
- M. Conrad. Modellierung und Parameterschätzung endokriner Systeme (German). PhD thesis, Institute of Mathematics, University of Lübeck, 2006.
- M. Conrad, C. Hubold, B. Fischer, U. Schweiger, H.L. Fehm, and A. Peters. The principle of regulation (abstract). Experimental and Clinical Endocrinology & Diabetes, 113:490, 2005.
- H. Krüger, C. Hubold, M. Conrad, A. Peters, and H.L. Fehm. Responses of the LHPA-system to CRH stimulation in subjects with type 1 diabetes mellitus and obesity (abstract). Experimental and Clinical Endocrinology & Diabetes, 113:495–496, 2005.
- M. Conrad. Multiresolution on the sphere (abstract). In Konstantinos Daniilidis, Reinhard Klette, and Ales Leonardis, Imaging Beyond the Pin-hole Camera. 12th Seminar on Theoretical Foundations of Computer Vision, Number 04251 in Dagstuhl Seminar Proceedings. Internationales Begegnungs- und Forschungszentrum (IBFI), Schloss Dagstuhl, Germany, 2005.
- M. Conrad, C. Hubold, B. Fischer, and A. Peters. The selfish brain: A new model of the LHPA-system (abstract). Experimental and Clinical Endocrinology & Diabetes, 112:481–482, 2004.
- A. Peters, U. Schweiger, L. Pellerin, C. Hubold, K. M. Oltmanns, M. Conrad, B. Schultes, J. Born, and H.L. Fehm. The selfish brain: competition for energy resources. Neuroscience & Biobehavioral Reviews, 28(2):143–180, 2004.
- M. Conrad and J. Prestin. Tutorials on Multiresolution in Geometric Modelling. Chapter Multiresolution on the Sphere, pages 165-202. Springer, New York, 2002.
- M. Conrad. Approximation und Multiskalenzerlegung auf der Sphäre (German). Master thesis, Institute of Mathematics, University of Hamburg, 2001.

## In progress & submitted

- M. Chung, M. Binois, R.B. Gramacy, D.J. Moquin, A.P. Smith, A.M. Smith. Parameter and Uncertainty Estimation for Dynamical Systems Using Surrogate Stochastic Processes. arXiv preprint arXiv:1802.00852, under review at SIAM/ASA UQ, 2018. [arXiv Preprint]
- L. Ruthotto, J. Chung, and M. Chung. Optimal Experimental Design for Constrained Inverse Problems. arXiv preprint arXiv:1708.04740, under review at SISC, 2017. [arXiv Preprint]
- J. Chung, M. Chung, J. T. Slagel, and L. Tenorio. Stochastic Newton and Quasi-Newton Methods for Large Linear Least-squares Problems. In preparation, 2018. [arXiv Preprint]
- S. Karunarathne, J. A. Ogejo, and M. Chung. Process-based Models for Estimating Emissions of Ammonia and Greenhouse Gases from Stored Liquid Dairy Manure: A Critical Review. Submitted to Environmental Science and Technology Journal, 2017.