A Short CV of Arunasalam Rahunanthan

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A Short CV of Arunasalam Rahunanthan Professional Preparation Professional Experience University of Peradeniya, Sri Lanka Computer Sciences, B.Sc. Engineering, 2001 University of Wyoming Mathematics, Ph.D., 2005 2009 University of Wyoming Mathematical Modeling of Multi-Phase Flows, Postdoctoral Research Scientist, 2009 2012 01/2016 : Program Coordinator, Dept. of Mathematics and Computer Science, Central State University, Wilberforce, Ohio 01/2015 : Tenure-Track Assistant Professor, Dept. of Mathematics and Computer Science, Central State University, Wilberforce, Ohio 08/2014 01/2015: Visiting Assistant Professor, Dept. of Mathematics and Statistics, University of Toledo, Toledo, Ohio 08/2013 08/2014: Instructor, Dept. of Mathematics and Computer Science, Edinboro University of Pennsylvania, Edinboro, Pennsylvania 08/2012 08/2013: Visiting Assistant Professor, Dept. of Mathematics and Statistics, University of Toledo, Toledo, Ohio 02/2009 08/2012: Postdoctoral Research Scientist, Dept. of Mathematics and School of Energy Resources, University of Wyoming, Laramie, Wyoming 01/2005 02/2009: Graduate Assistant, Dept. of Mathematics, University of Wyoming, Laramie, Wyoming 09/2002 01/2005: Engineer/Senior Engineer, Dept. of Management of Information Systems, Celetronix, Sri Lanka 12/2001 09/2002: Instructor, Dept. of Engineering Mathematics, University of Peradeniya, Sri Lanka Grants A. Rahunanthan, PI, NSF Research Initiation Award: Uncertainty Quantification of Multi- Phase Porous Media Flows on GPUs, Award Amount: U$ 299, 208, June 2016 - May 2019. Awards and Honors Great Lakes section of SIAM Travel Award, 2015 Center for Innovation and Distance Learning s Certificate for successful completion of Teaching with Technology, Central State University, 2015 SIAM Post-doc Travel Award - ICIAM, 2011 Nominee for Outstanding PhD Dissertation Award, University of Wyoming, 2010 SIAM Student Travel Award - Computational Science and Engineering, 2009 Paul-Stock Scholarship, University of Wyoming, December, 2007 Graduate School Travel Funding, University of Wyoming, December, 2007 Graduate School Assistantship, University of Wyoming, 2007-2009

A. Rahunanthan 2 of 5 Graduate Student Research Assistantship, 2005 2007 Graduate School s Certificate for successful completion of the fall 2005 Teaching Assistants Discussion Series, University of Wyoming, 2005 Silver medal District Chess Championship (Seniors), Jaffna, Sri Lanka, 1992 Peer-reviewed Journals 13. V. Ginting, F. Pereira, and A. Rahunanthan (2015), Multi-Physics Markov Chain Monte Carlo Methods for Subsurface Flows, Mathematics and Computers in Simulation, Vol. 118, pp. 224-238 12. V.U. Karthik, S. Sivasuthan, A. Rahunanthan, R.S. Thyagarajan, P. Jayakumar, L. Udpa, and S.R.H. Hoole (2015), Faster, more accurate, parallelized inversion for shape optimization in electroheat problems on a graphics processing unit (GPU) with the real-coded genetic algorithm, COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, Vol. 34, Issue 1, pp. 344-356 11. S.R.H. Hoole, V.U. Karthik, S. Sivasuthan, A. Rahunanthan, R.S. Thyagarajan, and P. Jayakumar (2015), Finite elements, design optimization, and nondestructive evaluation: A review in magnetics, and future directions in GPU-based, element-by-element coupled optimization and NDE, International Journal of Applied Electromagnetics and Mechanics, Vol. 47, pp. 607-627 10. S. Sivasuthan, V.U. Karthik, A. Rahunanthan, P. Jayakumar, R.S. Thyagarajan, L. Udpa and S.R.H. Hoole (2014): A Script-Based, Parameterized Finite Element Mesh for Design and NDE on a GPU, IETE Technical Review, Vol. 32, Issue 2, pp. 94 103 9. S.R.H. Hoole, V.U. Karthik, S. Sivasuthan, A. Rahunanthan, R.S. Thyagarajan, and P. Jayakumar (2014), Electromagnetic Device Optimization: The Forking of Already Parallelized Threads on Graphics Processing Units, Applied Computational Electromagnetics Society Journal, Vol. 29, Issue 9, pp. 677-684 8. A. Rahunanthan, F. Furtado, D. Marchesin, and M. Piri (2014), Hysteretic Enhancement of Carbon Dioxide Trapping in Deep Aquifers, Computational Geosciences, Vol. 18, Issue 6, pp. 899-912 7. V. Ginting, F. Pereira, and A. Rahunanthan (2014), A Prefetching Technique for Prediction of Porous Media Flows, Computational Geosciences, Vol. 18 (5), pp. 661-675 6. V. Ginting, F. Pereira, and A. Rahunanthan (2014), Rapid Quantification of Uncertainty in Permeability and Porosity of Oil Reservoirs for Enabling Predictive Simulation, Mathematics and Computers in Simulation, Vol. 99, pp. 139-152 5. V. Ginting, F. Pereira, and A. Rahunanthan (2013), A Multi-stage Bayesian Prediction Framework for Subsurface Flows, International Journal for Uncertainty Quantification, Vol. 3, Issue 6, pp. 499-522 4. F. Pereira, and A. Rahunanthan (2011), A Semi-discrete Central Scheme for the Approximation of Two-phase Flows in Three Space Dimensions, Mathematics and Computers in Simulation, Vol. 81, Issue 10, pp. 2296-2306 3. A. Rahunanthan, and D. Stanescu (2010), High-order W-methods, Journal of Computational and Applied Mathematics, Vol. 233, Issue 8, pp. 1798-1811 2. A. Rahunanthan, and D. Stanescu (2009), Stable Interface Conditions for Discontinuous Galerkin Approximations of Navier-Stokes Equations, Journal of Scientific Computing, Vol.41, Issue 1, pp. 118-138

A. Rahunanthan 3 of 5 1. S. R. H. Hoole, A. Rahunanthan, T. Sivapriya, and S. Sutharsan (2003), MacLean s Model of Flux Penetration: Addressing Stability, Magnetics, IEEE Transaction, Vol.39, Issue 3, pp. 1187-1190 Peer-reviewed Conference Proceedings 2. V. Ginting, F. Pereira, and A. Rahunanthan (2012), Multiple Markov Chains Monte Carlo Approach for Flow Forecasting in Porous Media, Procedia Computer Science, Vol. 5, pp. 707-716 1. V. Ginting, F. Pereira, and A. Rahunanthan (2012), Forecasting Production in an Oil Reservoir Simulation and Its Challenges, Proceedings of ENUMATH 2012, the 9th European Conference on Numerical Mathematics and Advanced Applications, Leicester - United Kingdom, September 2011 (A. Cangiani et al., eds.), Springer Non Peer-reviewed Conference Proceedings/Reports 3. V. Ginting, F. Pereira, and A. Rahunanthan, Multi-Stage Markov Chain Monte Carlo Methods for Porous Media Flows, 1st International Symposium on Uncertainty Quantification and Stochastic Modeling (Uncertainties 2012), Maresias, SP, Brazil, February 26 - March 2, 2012 2. M. Akbarabadi, F. Furtado, F. Pereira, M. Piri, and A. Rahunanthan, Stationary Discontinuities in Hysteretic CO 2 /brine Two-phase Flow, Tenth Annual Carbon Capture & Sequestration Conference, Pittsburgh, PA, May 2-5, 2011 1. F. Pereira, and A. Rahunanthan, Numerical Simulation of Two-phase Flows on a GPU, 9th International meeting on High Performance Computing for Computational Science (VECPAR 10), Berkeley, CA, June 22-25, 2010 Poster Presentations M. Akbarabadi, F. Furtado, F. Pereira, M. Piri, A. Rahunanthan, Stationary Discontinuities in Hysteretic CO 2 /brine Two-phase Flow, Tenth Annual Carbon Capture & Sequestration Conference, Pittsburgh, PA, May 2-5, 2011 F. Pereira, A. Rahunanthan, Numerical Simulation of Two-phase Flows on a GPU, 9th International meeting on High Performance Computing for Computational Science (VECPAR 10), Berkeley, CA, June 22-25, 2010 Invited Talks/Conference Presentations/Talks A Bayesian Predictive Simulation for Aquifer Contamination, Statistical Learning: The Tenth Eugene Lukacs Symposium, Bowling Green State University, May 14, 2016 Dynamic Data Integration on GPUs for Forecasting Porous Media Flows, Dept. of Mathematics Colloquium, University of Dayton, November 5, 2015 Speeding-up predictive simulation for Porous Media Flows on GPUs, Dept. of Mathematics and Statistics Colloquium, Wright State University, September 25, 2015 Predictive Simulation Using Multi-Physics MCMCs for Porous Media Flows, 2015 GLSIAM Conference on Multiscale Modeling with PDEs, Grand Valley State University, May 2, 2015 Forecasting Porous Media Flows on GPUs, Midwest Numerical Analysis Day 2015, Wright State University, April 25, 2015

A. Rahunanthan 4 of 5 Multi-Physics Markov Chain Monte Carlo Methods for Subsurface Flows, Applied Analysis & Dynamical Systems seminar, University of Toledo, October 16, 2014 Multi-Physics Markov Chain Monte Carlo Methods for Subsurface Flows, Workshop: Experimentation, Mathematical Modeling & Numerical Simulation of Porous Media Flows, Laramie, Wyoming, May 19-21, 2014 Dynamic Data Integration for Forecasting Porous Media Flows in A Bayesian Framework, Pace University, March 25, 2014 Sampling Strategies for Speeding-up Generation of MCMC Chains in Prediction for Porous Media Flows, Research Group Meeting, Edinboro University of Pennsylvania, October 31, 2013 Predictive Simulation for Porous Media Flows on GPUs, Great Lakes Section of the SIAM Conference on Computational Mathematics: Modeling, Algorithms and Applications, Central Michigan University, April 20, 2013. A Bayesian Framework for Subsurface Characterization on GPUs, Applied Analysis & Dynamical Systems seminar, University of Toledo, September 13, 2012. Multiple Markov Chains Monte Carlo Approach for Flow Forecasting in Porous Media in the contributed workshop Computational Flow and Transport: Modeling, Simulations and Algorithms, International Conference on Computational Science, Omaha, Nebraska, June 4-6, 2012 Parallel Markov Chain Monte Carlo Methods in Predictive Simulations for Porous Media Flows in the contributed minisymposia CO 2 Sequestration: Experimentation, Multi-scale Modeling and Simulation IV, Interpore2012, Purdue University, May 14-16, 2012 Multi-stage, Multi-physics Markov Chain Monte Carlo Methods for Prediction in Subsurface Flows, Third Workshop on Porous Media Flows: Experimentation, Multi-Scale Modeling & Simulation, Laramie, Wyoming, May 8-10, 2012 A Comparative Study of Markov Chain Monte Carlo Methods for Predictive Simulations of Flows in Subsurface Formations, School of Earth Sciences, Ohio State University, April 12, 2012 Dynamic Data Integration in Subsurface Characterization Using Mathematical and Statistical Tools, Department of Mathematics, University of Akron, March 22, 2012 Predictive Simulation for CO 2 Sequestration in Saline Aquifers, SIAM Conference on Uncertainty Quantification, Raleigh, North Carolina, April 2-5, 2012 An Efficient Numerical Simulator for Two-Phase Flows on a GPU and Applications to Oil Reservoirs and CO 2 Sequestration, SIAM Conference on Parallel Processing for Scientific Computing (PP12), Savannah, Georgia, February 15-17, 2012 Multi-Stage Markov Chain Monte Carlo Methods for Porous Media Flows, Applied Math/Analysis seminar, University of Wyoming, October 11, 2011 Rapid Quantification of Uncertainty in Permeability and Porosity of Subsurface for Enabling Predictive Simulation, The Second CFSF Workshop on Porous Media Flows, Laramie, Wyoming, September 27-29, 2011 Sampling Strategies for Reducing Computational Burden in Predictive Simulations of Twophase Flows in the contributed minisymposia Advances in the Predictive Simulation of Complex Systems, 7th International Congress on Industrial and Applied Mathematics (ICIAM 2011), Vancouver, BC, Canada, July 18-22, 2011

A. Rahunanthan 5 of 5 High-order W-methods, SIAM Conference on Computational Science and Engineering (CSE09), Miami, FL, March 2-6, 2009 High-order W-methods, UW Graduate Symposium, Laramie, WY, April, 2008 Stable Interface Conditions for Discontinuous Galerkin Approximations of the Navier-Stokes Equations, SIAM Conference on Analysis of Partial Differential Equations (PD07), Phoenix, AZ, December 10-12, 2007 Stable Interface Conditions for One-dimensional Discontinuous Galerkin Approximations of the Navier-Stokes Equations, UW-NCAR Days Workshop, Steamboat springs, CO, November, 2007 Conservative Cascade Remapping between Spherical grids (CaRS), SIParCS Student Internship Presentations, NCAR, Boulder, CO, August, 2007 Addressing Stability: MacLean s Model of Flux Penetration, UW Mathematics Department Graduate Seminar, Laramie, WY, November, 2006