Publications

S. Lensgraf, R. R. Mettu, Beyond Layers: A 3D-Aware Toolpath Algorithm for Fused Filament Fabrication. In Proceedings of the 2016 IEEE International Conference on Robotics and Automation (ICRA). Best Automation Paper Award.

R. R. Mettu, T. Charles, S. J. Landry. CD4+ T-cell Epitope Prediction Using Antigen Processing Constraints. Journal of Immunological Methods, 432:72--81, 2016.

X. Jiang, R. R. Mettu, K. B. Venable, G. Parker. Flexibility meets Variability: A multi- agent constraint-based approach for incorporating renewables into the power grid. AAAI-15 Workshop on Computational Sustainability, pp 69--73.

A. K. Reddy, S. Shanbag, C. Wang, R. R. Mettu, T. Wolf. VHub: Single-Stage Virtual Network Mapping through Hub Location. In revision, Journal of Computer Networks, 77 (2015): 169-180.

T. Li, N. K. Steede, H.-N. P. Nguyen, L. C. Freytag, J. B. McLachlan, R. R. Mettu, J. E. Robinson and S. J. Landry A comprehensive analysis of contributions from protein conformational stability and MHCII-peptide binding affinity to CD4+ epitope immunogenicity in HIV-1 envelope glycoprotein. Journal of Virology, 88(17): 9605–9615, 2014.

Y. Lei, R. R. Mettu. A Confidence Measure for Model Fitting with X-Ray Crystallography Data. In Proceedings of ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics, September 2013.

Ö. Sümer , U. A. Acar, A. T. Ihler, R. R. Mettu. Fast parallel and adaptive updates for dual-decomposition solvers. In Proceedings of the 25th AAAI Conference on Artificial Intelligence, August 2011.

M. Segall, E. Champness, C. Leeding, R. Lilien, R. R. Mettu, B. Stevens Applying medicinal chemistry transformations to guide the search for high quality leads and candidates.Journal Chemical Information and Modeling, (11):2967-2976, 2011.

Ö. Sümer , U. A. Acar, A. T. Ihler, R. R. Mettu. Adaptive Exact Inference in Graphical Models. Journal of Machine Learning Research, 12(Nov):3147-3186, 2011.

U. A. Acar, A. T. Ihler, R. R. Mettu, Ö. Sümer. Adaptive Updates for Maintaining MAP Configurations with Applications to Bioinformatics. In Proceedings of the IEEE Workshop on Statistical Signal Processing, August 2009, pp 413--416.

T. Langlois, R. R. Mettu, and R. W. Vachet. Protein Identification using Receptor Arrays and Mass Spectrometry. Advances in Computational Biology, Springer Advances in Experimental Medicine and Biology Series, 2009.

U. A. Acar, A. T. Ihler, R. R. Mettu, Ö. Sümer. Adaptive Bayesian Inference in General Graphs. In Proceedings of the 24th Annual Conference on Uncertainty in Artificial Intelligence, July 2008, pp 1--8.

S. Jaiswal, A. Ganz, and R. R. Mettu. An Optimization Framework for Demand-based Fair Stream Allocation in MIMO Ad Hoc Networks. ACM Transactions on Mobile Networks, 14(4):451--469, 2008.

U. A. Acar, A. T. Ihler, R. R. Mettu, Ö. Sümer. Adaptive Bayesian Inference. In 21st Annual Conference on Neural Information Processing Systems, December 2007.

S. Jaiswal, A. Ganz, R. R. Mettu. An Optimization Framework for Demand-based Fair Stream Allocation in MIMO Ad Hoc Networks. In Proc. of 4th International Conference on Broadband Communciations, Networks and Systems, September 2007. Winner of Best Paper Award.

S. Raman, A. Ganz, R. R. Mettu. A Fair Bandwidth Allocation Framework for Heterogeneous Multi-Radio Wireless Mesh Networks. In Proc. of 4th International Conference on Broadband Communciations, Networks and Systems, September 2007.

L. Wang, R. R. Mettu, B. R. Donald. A Polynomial-Time Algorithm for de novo Protein Backbone Structure Determination from NMR Data. Journal of Computational Biology, 13(7):1267-88, 2006.

R. R. Mettu, R. H. Lilien, B. R. Donald. High-Throughput Inference of Protein-Protein Interfaces from Unassigned NMR Data. In Bioinformatics, 2005; 21 (Suppl. 1):i292-i301. Presented at 13th Annual International Conference on Intelligent Systems for Molecular Biology (ISMB).

L. Wang, R. R. Mettu, B. R. Donald. An Algebraic Geometry Approach to de novo Protein Structure Determination from NMR Data. In Proc. 2005 IEEE Computer Society Bioinformatics (CSB), pp. 235--246.

R. R. Mettu and C. G. Plaxton. Optimal Time Bounds for Approximate Clustering. Machine Learning Journal 56(1/2/3):35-60, 2004.

L. Wang, R. R. Mettu, R. H. Lilien, B. R. Donald. An Exact Algorithm For Determining Protein Backbone Structure From NH Residual Dipolar Couplings. In Proc. IEEE Computer Society Bioinformatics Conference, August 2003, pp. 611-612. Winner of Best Poster Award.

R. R. Mettu and C. G. Plaxton. The Online Median Problem. SIAM Journal On Computing, 32:816-832, 2003.

R. R. Mettu and C. G. Plaxton. Optimal Time Bounds for Approximate Clustering. In Proceedings of the 18th Conference on Uncertainty in Artificial Intelligence, August 2002, pages 344-351.

R. R. Mettu and C. G. Plaxton. The Online Median Problem. In Proceedings of the 41st Annual Symposium on Foundations of Computer Science, November 2000, pages 339-348.

M. Korupolu, R. R. Mettu, V. L. Ramachandran and Y. Zhao. Experimental Evaluation and Comparison of Algorithms for Incremental Graph Connectivity and Biconnectivity. DIMACS Implementation Challenge Workshop V, October 1996.

R. R. Mettu. Approximation Algorithms for NP-Hard Clustering Problems. Ph.D. Dissertation, Department of Computer Science, University of Texas at Austin, Technical Report TR-02-62, 114 pages, August 2002. (abstract) (PostScript) (PDF) (bibTeX)

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