Muhibur Rasheed Developer, Meshing Team Analysis and Design Applications Co (CD-Adapco)

e-mail: [email protected] website

Research Interests

Data Structures, Computational Biology, Machine Learning, Sampling, Uncertainty Quantification, High Performance Computing, Visualization.

Previous Professional Experience

Lecturer, Computer Science Department, UT Austin

September 2014 – May 2015

Postdoctoral Researcher, Institute for Computational Engineering and Sciences, UT Austin September 2014 – May 2015

Research Assistant, Imaging Research Center, UT Austin

June 2014 – August 2015

Research Assistant, Computational Visualization Center, UT Austin Sept 2008 – Aug 2009, Jun 2010 – Dec 2010, Sep 2011 – Dec 2011

Teaching Assistant, UT Austin Sept 2009 – May 2010, Jan 2011 – Aug 2011, Jan 2012 – May 2012, Sep 2012 – present

Lecturer, Bangladesh University of Engg. and Tech., Dhaka, Bangladesh June 2005 – Aug 2008

Software Development Intern, IBM

Education

Jun 2012 – Aug 2012

University of Texas at Austin, Austin, Texas, USA • PhD • Adviser: Professor Chandrajit L. Bajaj Bangladesh University of engineering and technology, Dhaka, Bangladesh • MSc Engg. in computer science and engineering • BSc Engg. in computer science and engineering

Referees

Professor Chandrajit L. Bajaj University of Texas at Austin Austin, Texas, USA e-mail: [email protected] Dr Rezaul Alam Chowdhury Stony Brook University Stony Brook, New York, USA e-mail: [email protected]

Professor Greg Plaxton University of Texas at Austin Austin, Texas, USA e-mail: [email protected]

2008 – 2014

2006-2008 2000-2005

Research

• Computational geometry, geometric modeling and visualizations: My research topics include efficient sampling techniques for search and integration over high-dimensional geometric spaces, computing geometric and analysis-ready mesh representations of molecular structures, interactive visualization of molecular models and their properties. • Algorithms and Data Structures: I have developed data structures for geometry representations, and point clouds in high dimensions with support for quasi-constant time neighborhood search, heuristics-based search algorithms for NP-Hard graph oplimization problems etc. • Machine Learning: My focus was on applying machine learning for calibrating mathematical models of physical systems, learning to classify different types of molecular interactions based on their structural and chemical properties. During my internship, I had also worked on graphical models for a representing and predicting identity theft risks. • Uncertainty Quantification and Propagation: I am working on a framework to theoretically put an upper bound on the error of the final prediction due errors/uncertainty in data, models or computational approximations and how they propagate.

Selected Publications

[RBB15] M. Rasheed, R. Bettadapura, and C. Bajaj. Computational refinement and validation protocol for proteins with large variable regions applied to model HIV Env spike in CD4 and 17b bound state. Structure 2015; 23(6):1138-1149, 2015. [RB15] Muhibur Rasheed and Chandrajit Bajaj, Symmetric and highly congruent tiled meshes for shells. Proceedings of the 24th International Meshing Roundtable 2015, Procedia Engineering 124:213225, 2015. [BRVB15] R. Bettadapura, M. Rasheed, A. Volrath, and C. Bajaj. PF2 Fit: Polar fast Fourier alignment of atomistic structures with 3D electron microscopy. PLoS Computational Biology, 2015; 11(10):e1004289., 2015. [CRKMOSB13] R. A. Chowdhury, M. Rasheed, D. Keidel, M. Moussalem, A. Olson, M. Sanner, and C. Bajaj. Protein-protein docking with f2dock 2.0 and gb-rerank. PLoS ONE, 8(3):e51307, 2013. [BCR11] C. Bajaj, R. A. Chowdhury, and M. Rasheed. A dynamic data structure for flexible molecular maintenance and informatics. Bioinformatics, 27(1):5562, 2011. [RB15a] Muhibur Rasheed and Chandrajit Bajaj, Characterization and construction of a family of highly symmetric spherical polyhedra with application in modeling self-assembling structures, arXiv:1507.08374. [RBC15] M. Rasheed, N. Clement, A. Bhowmick, C. Bajaj. Quantifying and Visualizing Uncertainties in Molecular Models. arXiv:1508.03882. [RRB14] M. Rasheed, A. Rand, and C. Bajaj. Maintaining flexible molecular surfaces using augmented dynamic octrees. Technical Report 14-23, Institute of Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, USA 78712., 2014. [RB14a] M. Rasheed and C. Bajaj. Predicting symmetric spherical shell assemblies. Technical Report 14-24, Institute of Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX, USA 78712., 2014. Complete and updated lists are available at my personal site (with download links), at Google Scholar, and at Researchgate