Raazesh Sainudiin

Raazesh Sainudiin

I work at the interface of computing, mathematics and statistics to solve real-world problems through custom-built mathematical and statistical models.

The full list of publications in peer-reviewed journals, conference proceedings as well as software contributions follows below. Please see CV for a field-specific picture.

Journal Articles and Full Conference Papers

  1. Statistical Hypothesis Testing and Modelling of Peoples' Power: A Causal Study of the #BlackLivesMatter Movement via Hawkes Processes on Social and Mass Media. Alfred Lindström, Simon Lindgren and Raazesh Sainudiin. Preprint of Invited Book Chapter Submission (1.2MB)
  2. Hawkes Processes on Social and Mass Media: A Causal Study of the #BlackLivesMatter Movement in the Summer of 2020. Alfred Lindström, Simon Lindgren and Raazesh Sainudiin. In Proceedings of the 12th International Conference on Data Science, Technology and Applications - DATA; ISBN 978-989-758-664-4; ISSN 2184-285X, SciTePress, pages 77-88. DOI: 10.5220/0012089500003541, 2023 (preprint as PDF 825KB)
  3. Swapping trajectories with a sufficient sanitizer, Julián Salas, David Megías, Vicenç Torra, MarinaToger, Joel Dahne and Raazesh Sainudiin, Pattern Recognition Letters, Vol. 131, 474-480, 2020. https://doi.org/10.1016/j.patrec.2020.02.011.
  4. Characterizing the Twitter Networks of Prominent Politicians and SPLC-defined Hate Groups in the 2016 US Presidential Election, Raazesh Sainudiin, Kumar Yogeeswaran, Kyle Nash and Rania Sahioun, Social Network Analysis and Mining, 9:34, 2019. https://doi.org/10.1007/s13278-019-0567-9. (expanded appendices are in PDF of Working Paper 816KB)
  5. Minimum distance histograms with universal performance guarantees, Raazesh Sainudiin and Gloria Teng, Japanese Journal of Statistics and Data Science, 2019. https://doi.org/10.1007/s42081-019-00054-y
  6. Full Likelihood Inference from the Site Frequency Spectrum based on the Optimal Tree Resolution, Raazesh Sainudiin and Amandine Véber, Theoretical Population Biology, 2018, https://doi.org/10.1016/j.tpb.2018.07.002 (PDF 676KB)
  7. A nonlinear dynamical system approach for the yielding behaviour of a viscoplastic fluid, Teodor Burghelea, Miguel Moyers-Gonzalez and Raazesh Sainudiin, Soft Matter, 13, 2024-2039, 10.1039/C6SM02361D, 2017
  8. Design of Conventional and Neural Network Based Controllers for a Single-Shaft Gas Turbine, Hamid Asgari, XiaoQi Chen, Mohsen Fathi Jegarkandi and Raazesh Sainudiin, Aircraft Engineering and Aerospace Technology, Vol. 89, Iss: 1, pp. 52-65, DOI: 10.1108/AEAT-11-2014-0187, 2017
  9. The Transmission Process: A Combinatorial Stochastic Process for the Evolution of Transmission Trees over Networks, Raazesh Sainudiin and David Welch, Journal of Theoretical Biology, Volume 410, Pages 137–170, 10.1016/j.jtbi.2016.07.038, 2016. See research project: Meme Evolution Programme
  10. A Beta-Splitting Model for Evolutionary Trees, Raazesh Sainudiin and Amandine Véber, Royal Society Open Science 3: 160016, 2016
  11. Ancestries of a Recombining Diploid Population, Raazesh Sainudiin, Bhalchandra Thatte, and Amandine Véber, Journal of Mathematical Biology, Volume 72, Issue 1, pp 363-408, 2016 (preprint PDF 436KB). The final publication is available at Springer via 10.1007/s00285-015-0886-z
  12. NARX Models for Simulation of the Start-up Operation of a Single-Shaft Gas Turbine, Hamid Asgari, XiaoQi Chen, Mirko Morini, Michele Pinelli, Raazesh Sainudiin, Pier Ruggero Spina and Mauro Venturini, Applied Thermal Engineering, Volume 93, Pages 368-376, 2016
  13. A microscopic Gibbs field model for the macroscopic yielding behavior of a viscoplastic fluid, Raazesh Sainudiin, Miguel Moyers-Gonzalez and Teodor Burghelea, Soft Matter,11, 5531-5545, 10.1039/C5SM00857C, 2015
  14. Finding the best resolution for the Kingman-Tajima coalescent: theory and applications, Raazesh Sainudiin, Tanja Stadler and Amandine Véber, Journal of Mathematical Biology, Volume 70, Issue 6, pp 1207-1247, 2015 (preprint PDF 384KB). The final publication is available at Springer via 10.1007/s00285-014-0796-5
  15. Terrorist Attacks Escalate in Frequency and Fatalities Preceeding Highly Lethal Attacks, Andy Martens, Raazesh Sainudiin, Chris G. Sibley, Jeff Schimel and David Webber, PLoS ONE 9(4): e93732. doi:10.1371/journal.pone.0093732, 2014
  16. Modeling and Simulation of the Transient Behavior of an Industrial Power Plant Gas Turbine, Asgari. H., Venturini. M., Chen. X.Q., and Sainudiin, R., Journal of Engineering for Gas Turbines and Power, 136(6), 061601, 2014 (In News: Gas To Power Journal)
  17. Pingala’s Fountain, R. Sainudiin, R. Sridharan, M. D. Srinivas, K. Yogeeswaran, Ganita Bharati: Bulletin of the Indian Society for History of Mathematics, Vol. 35, No. 1-4, pp. 117-123, 2013 (PDF in color 16MB, PDF 272KB)
  18. Human-assisted spread of maladaptive behavior in a critically endangered bird, Melanie Massaro, Raazesh Sainudiin, Don Merton, James V. Briskie, Anthony M. Poole and Marie L. Hale, PLoS ONE 8(12): e79066 DOI: 10.1371/journal.pone.0079066, 2013 (PDF of preprint 6712KB, In News: National Geographic Online, Audobon Magazine, New Scientist .)
  19. Modelling and Simulation of Gas Turbines, Hamid Asgari, XiaoQi Chen, and Raazesh Sainudiin, International Journal of Modelling, Identification and Control, Vol. 20, No. 3, pp. 253-270, 2013 (PDF 484KB)
  20. A Rigorous Extension of the Schönhage-Strassen Integer Multiplication Algorithm Using Complex Interval Arithmetic, Raazesh Sainudiin and Thomas Steinke, Reliable Computing, vol. 18, pp. 97-116, 2013 (PDF 340KB)
  21. Artificial Neural Network Based System Identification for a Single-Shaft Gas Turbine, Hamid Asgari, XiaoQi Chen, Mohammad B. Menhaj and Raazesh Sainudiin, Journal of Engineering for Gas Turbines and Power, 135(9), 092601, 2013
  22. An auto-validating, trans-dimensional, universal rejection sampler for locally Lipschitz arithmetical expressions, Raazesh Sainudiin and Thomas York, Reliable Computing, vol.18, pp.15-54, 2013 (PDF 2612KB)
  23. Posterior expectation of regularly paved random histograms, Raazesh Sainudiin, Gloria Teng, Jennifer Harlow and Dominic Lee, ACM Trans. Model. Comput. Simul. 23, 1, Article 6, 20 pages, 2013 (PDF 1864KB)
  24. Analysis of ANN-Based Modelling Approach for Industrial Systems, Hamid Asgari, XiaoQi Chen, and Raazesh Sainudiin, International Journal of Innovation, Management and Technology, vol. 4, no. 1, pp. 165-169, 2013
  25. Mapped Regular Pavings, Jennifer Harlow, Raazesh Sainudiin and Warwick Tucker, Reliable Computing, vol. 16, pp. 252-282, 2012 (PDF 972KB)
  26. ANN-Based System Identification, Modelling and Control of Gas Turbines -- A Review, Hamid Asgari, Xiao Qi Chen, Mohammad Bagher Menhaj and Raazesh Sainudiin, Advanced Materials Research, 622-623, pp. 611-617, 2012
  27. Statistical regular pavings to analyze massive data of aircraft trajectories, Gloria Teng, Kenneth Kuhn and Raazesh Sainudiin, Journal of Aerospace Computing, Information, and Communication, Vol. 9, No. 1, pp. 14-25, doi: 10.2514/1.I010015, 2012 (PS 31MB or lossy PDF 2.9MB or zipped 26 PNG pages)
  28. Experiments with the Site Frequency Spectrum, Raazesh Sainudiin, Kevin Thornton, Jennifer Harlow, James Booth, Michael Stillman, Ruriko Yoshida, Robert Griffiths, Gilean McVean and Peter Donnelly, Bulletin of Mathematical Biology (Special Inaugural Issue in Algebraic Biology), Volume 73, Number 4, 829-872. DOI: 10.1007/s11538-010-9605-5, 2011 (AMS review)
  29. Extending Galton’s Binomial Quincunx to the Trinomial Septcunx, Jennifer Harlow, Bry Ashman and Raazesh Sainudiin, Technology Innovations in Statistics Education, 3(2), 2009
  30. Auto-validating von Neumann rejection sampling from small phylogenetic tree spaces, Raazesh Sainudiin and Thomas York, Algorithms for Molecular Biology 4:1, 2009
  31. Simple models of genomic variation in human SNP density, Raazesh Sainudiin, Andrew Clark, and Rick Durrett, BMC Genomics 8:146, 2007
  32. Relative contribution of seed-transmitted inoculum to foliar populations of Phaeosphaeria nodorum, Rebecca S. Bennett, Michael G. Milgroom, Raazesh Sainudiin, Barry M. Cunfer, and Gary C. Bergstrom, Phytopathology 97(5):584-591, 2007
  33. Identification of physicochemical selective pressure on protein encoding nucleotide sequences, Wendy S. W. Wong, Raazesh Sainudiin and Rasmus Nielsen, BMC Bioinformatics 7:148, 2006
  34. Detecting site-specific physicochemical selective pressures: applications to the class-I HLA of the human major histocompatibility complex and the SRK of the plant sporophytic self-incompatibility system, Raazesh Sainudiin, Wendy Shuk Wan Wong, Krithika Yogeeswaran, June Nasrallah, Ziheng Yang and Rasmus Nielsen, Journal of Molecular Evolution 60: 315-326, 2005
  35. Microsatellite mutation models: insights from a comparison of humans and chimpanzees, Raazesh Sainudiin, Richard T. Durrett, Charles Aquadro and Rasmus Nielsen, Genetics 168: 383-395, 2004

Books and Book Chapters

  1. ScaDaMaLe: Scalable Data Science and Distributed Machine Learning, An Open Executible Book. Edited by Raazesh Sainudiin, https://lamastex.github.io/ScaDaMaLe/, 2021
  2. Scalable Data Science - 2.2 from Atlantis, Dan Lilja, Raazesh Sainudiin and Tilo Wiklund, Published by GitBook https://lamastex.gitbooks.io/sds-2-2/, (~1200 pages), 2018.
  3. Scalable Data Science - 1.x from Middle Earth, Raazesh Sainudiin and Sivanand Sivaram, Published by GitBook https://www.gitbook.com/book/lamastex/scalable-data-science/details, 791 pages, 24th July 2017.
  4. An Auto-validating Rejection Sampler for Differentiable Arithmetical Expressions: Posterior Sampling of Phylogenetic Quartets, Raazesh Sainudiin, In Martine Ceberio and Vladik Kreinovich (Eds.), Constraint Programming and Decision Making (Studies in Computational Intelligence), Springer Verlag, Berlin, Heidelberg, pp. 143-152, 2014 (PDF 400KB)
  5. Modelling and Simulation Approaches for Gas Turbine System Optimization, Hamid Asgari, XiaoQi Chen and Raazesh Sainudiin, In M.K. Habib and J.P. Davim (Eds.), Engineering Creative Design in Robotics and Mechatronics, Ch. 14, pp. 240-264, IGI Global, Hershey, PA, 2013
  6. Machine Interval Experiments: Accounting for the Physical Limits on Empirical and Numerical Resolutions, Raazesh Sainudiin, LAP Academic Publishers, Köln, Germany, ISBN-13: 978-3838315997, 2010
  7. Applications of interval methods to phylogenetics, Raazesh Sainudiin and Ruriko Yoshida, In L. Pachter and B. Sturmfels (Eds.), Algebraic Statistics for Computational Biology, Cambridge University Press, 2005
  8. Models of microsatellite evolution, Peter Calabrese and Raazesh Sainudiin, In R. Nielsen (Ed.), Statistical Methods in Molecular Evolution, Series: Statistics for Biology and Health, Springer, 2004

Conference Proceedings

  1. Detecting Slag Formations with Deep Convolutional Neural Networks, von Koch Christian, Anzén William, Fischer Max, Sainudiin Raazesh. In: Bauckhage C., Gall J., Schwing A. (eds) Pattern Recognition. DAGM GCPR 2021. Lecture Notes in Computer Science, vol 13024. Springer, Cham. https://doi.org/10.1007/978-3-030-92659-5_36 (PDF 2378KB, video).
  2. Distributed training and scalability for the particle clustering method UCluster, Olga Sunneborn Gudnadottir, Daniel Gedon, Colin Desmarais, Karl Bengtsson Bernander, Raazesh Sainudiin and Rebeca Gonzalez Suarez, Proceedings of the 25t International Conference on Computing in High Energy and Nuclear Physics (CHEP), EPJ Web of Conferences, Volume 251, 2021, Article Number 02054, 8 pages, DOI: doi.org/10.1051/epjconf/202125102054, arXiv:2109.00264 [hep-ex]
  3. Rejecting the Null Hypothesis of Apathetic Retweeting of US Politicians and SPLC-defined Hate Groups in the 2016 US Presidential Election, Raazesh Sainudiin, Kumar Yogeeswaran, Kyle Nash and Rania Sahioun, 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, August 28-31, 2018, DOI: 10.1109/ASONAM.2018.8508555 (or PDF 136KB)
  4. Final Report Final Report of 16w5099 - Interval Analysis and Constructive Mathematics, Eds. Douglas Bridges, Hannes Diener, Baker Kearfott, Vladik Kreinovich, Patricia Melin, Raazesh Sainudiin and Helmut Schwichtenberg, pp. 1-13, 2017, 5-Day-Workshop,Casa Matemática Oaxaca (CMO) in Mexico, November 13-18, 2016.
  5. Optimal Hyper-parameter Search in Support Vector Machines Using Bezier Surfaces, Shinichi Yamada, Kourosh Neshatian and Raazesh Sainudiin, Springer Lecture Notes on Artificial Intelligence Series, Proceedings of the 28th Australian Joint Conference on Artificial Intelligence, 623-629, 2015.
  6. "L1-consistent Adaptive Multivariate Histograms from a Randomized Queue Prioritized for Statistically Equivalent Blocks", Gloria Teng, Jennifer Harlow and Raazesh Sainudiin, in the Proceedings of the International Conference on Mathematics, Statistics, and Financial Mathematics 2014 with IASC-ARS Sessions, November 18-19, Kuala Lumpur, Malaysia, pp. 88-102, 2014 (PDF 716KB)
  7. An Iterative `Sudoku Style' Approach to Subgraph-based Word Sense Disambiguation, Steve L. Manion and Raazesh Sainudiin, Proceedings of the Third Joint Conference on Lexical and Computational Semantics, *SEM 2014, Dublin, Ireland, August 23-24, 11 pages, 2014 (PDF 328 KB)
  8. Modeling and Simulation of the Start-up Operation of a Heavy-Duty Gas Turbine by Using NARX Models, Asgari. H., Chen. X.Q., Sainudiin, R., Morini, M., Pinelli, M., Spina, P.R. and Venturini. M., ASME Turbo Expo 2014, Turbine Technical Conference and Exposition, International Gas Turbine Institute, American Society of Mechanical Engineers, 10 pages, June 2014 (ASME Digital Collection or preprint as PDF 980KB)
  9. There and Back Again: Split and Prune to Tighten, Raazesh Sainudiin, Jennifer Harlow and Warwick Tucker, Proceedings of the 2013 IEEE International Conference on Fuzzy Systems, 7 pages, 7-10 July, 2013 (PDF 512KB)
  10. DAEBAK!: Peripheral Diversity for Multilingual Word Sense Disambiguation, Steve Manion and Raazesh Sainudiin, Proceedings of the 7th International Workshop on Semantic Evaluation (SemEval 2013), in conjunction with the Second Joint Conference on Lexical and Computational Semantics (*SEM 2013), 5 pages, 2013 (PDF 196KB)
  11. Analysis of ANN-Based Modelling Approach for Industrial Applications, Hamid Asgari, XiaoQi Chen and Raazesh Sainudiin, International Conference on Industrial Applications and Innovations, Hong Kong, December 29-30, 2012 (PDF 352KB)
  12. ANN-based System Identification Modelling and Control of Gas Turbines - A Review, Hamid Asgari, XiaoQi Chen, Mohammad B. Menhaj and Raazesh Sainudiin, International Conference on Power and Energy Engineering (ICPEE 2012), Phuket Island, Thailand, 1-2 Sep, 7 pages, 2012
  13. Application of artificial neural networks to rotating equipment, Hamid Asgari, XiaoQi Chen and Raazesh Sainudiin, Tehran, Iran: 3rd Conference on Rotating Equipment in Oil and Power Industries, January 2-3, 2012 (PDF 744KB)
  14. Considerations in Modelling and Control of Gas Turbines - a Review, Hamid Asgari, XiaoQi Chen and Raazesh Sainudiin, Proceedings of the 2nd International Conference on Control, Instrumentation, and Automation, December 27-29, 2011 in Shiraz, Iran, 2011 (PDF 540KB)
  15. A Rigorous Extension of the Schönhage-Strassen Integer Multiplication Algorithm Using Complex Interval Arithmetic, Thomas Steinke and Raazesh Sainudiin, June 3, 2010, EPTCS 24 Proceedings Seventh International Conference on Computability and Complexity in Analysis, Zhenjiang, China, 21-25th June 2010

Industrial Contracts

  1. "Consulting on technical and non-technical aspects of various Data Science Processes" for Combient AB, Stockholm, Sweden, 2017 (confidential)
  2. "Nonparametric Self-Exciting Space-Time Point Process Model for Crime Risk Prediction", Raazesh Sainudiin, Statistical Consulting for Wynyard Group, Christchurch, NZ, UC Contract Number 14-02-007, 2014 (confidential)
  3. "Intelligent Bidding Systems (Collaborative Filtering)", Raazesh Sainudiin (with Kourosh Neshantian), Ministry of Business Innovation and Employment (two year-long Capability Fellowships), Consulting for adScale Laboratories, Christchurch, NZ, UC Contract Numbers E6075 and E6076, 2013-2014
  4. "Imputation Variance Estimation for Statistics New Zealand's Accommodation Occupancy Survey", Raazesh Sainudiin and Richard Penny, Statistical Consulting Report Prepared for The New Zealand Ministry of Tourism, Resource Centre 36, Sub-Project 5050300, p. 1-25, 2009 (PDF 936KB)

Submitted / Under Review

  1. Swapping trajectories with a sufficient sanitizer, Julián Salas, David Megı́as, Vicenç Torra, Marina Toger, Joel Dahne and Raazesh Sainudiin, 21 pages, 2019.
  2. Data-adaptive histograms through statistical regular pavings, Raazesh Sainudiin, Gloria Teng, Jennifer Harlow and Warwick Tucker, 2016 (PDF 2.6MB)
  3. Scalable Multivariate Histograms, Raazesh Sainudiin and Tilo Wiklund, 14 pages, 2020 (PDF 800KB)
  4. Exact Bayesian A/B testing using distributed fault-tolerant Moore rejection sampler, Benny Avelin and Raazesh Sainudiin, Extended Abstract, 2 pages, 2018 (PDF 104KB)
  5. Some Distributions on Finite Rooted Binary Trees, Sean Cleary, Mareike Fischer, Robert C. Griffiths and Raazesh Sainudiin, 25 pages, 2017 (arxiv:1708.06130)
  6. A nonparametric view of the civilizing process in London's Old Bailey, Jasper Mackenzie, Raazesh Sainudiin, James Smithies and Heather Wolffram, Research Report UCDMS2015/1, 32 pages, 2015 (PDF version 2 1.2MB, PDF version 1 4.8MB)

In Preparation

  1. Empirical Population Pedigree Processes: Case of the Florida Scrub Jays, Nancy Chen, Andrew G Clark, John Fitzpatrick, Raazesh Sainudiin and Amandine Véber, 2016
  2. Modeling of Black Robin populations using matrix-analytic age-structured branching processes: Informed management strategies for reintroduction of endangered species, Sophie Hautphenne, Melanie Massaro and Raazesh Sainudiin, 2014
  3. Empirical Population Pedigree Processes: Theory, Raazesh Sainudiin and Amandine Véber, 2011
  4. Classification of Voxel Images, Josh Collins, Ben Martin and Raazesh Sainudiin, 2010
  5. Computational Statistical Experiments in Matlab, Raazesh Sainudiin and Dominic Lee, 341 pages, 2007-2016 (CSEBook.pdf ). See https://github.com/lamastex/computational-statistical-experiments
  6. Memetic Notions of Self in Trans-traditional Life Experiments, Raazesh Sainudiin, 1991 (see Self-Study Group)

Cited Technical Reports, Software, Theses, Preprints and Others

  1. The Polarised State of the Swedish Political Twitterverse, Uppsala Summer Math Camp 2019 Report, Department of Mathematics, Uppsala University, August 30 2019 (PDF 2.7MB)
  2. Minimum distance estimation with universal performance guarantees over statistical regular pavings, Raazesh Sainudiin and Gloria Teng, 17 pages, 2018 (PDF 708KB)
  3. Faculty As a Citizen Submission to the Productivity Commission on New Models of Tertiary Education in New Zealand:
  4. MRS 2.0: A C++ Class Library for Statistical Set Processing and Computer-Aided Proofs in Statistics (Version 2.0) [Software], Jennifer Harlow, Raazesh Sainudiin, Gloria Teng, Warwick Tucker and Thomas York, Available from https://github.com/lamastex/mrs2, 2017
  5. The Transmission Process: A Combinatorial Stochastic Process for the Evolution of Transmission Trees over Networks, Raazesh Sainudiin and David Welch, Research Report UCDMS2016/1, 2016, 56 pages, 2016 PDF 868KB (JTB preprint PDF 900KB, See final publication in Journal of Theoretical Biology, Volume 410, Pages 137–170, 10.1016/j.jtbi.2016.07.038, 2016)
  6. Approximate Bayesian Computation from multi-locus SNP+microsatellite markers in structured recombining populations, Jennifer Harlow, Sharyn Goldstien, Brendan Bycroft and Raazesh Sainudiin, In LCE: A C++ Class Library for Lumped Coalescent Experiments:: modules: mct, hudson_ms and ABCReg and AHABCtesting, https://github.com/lamastex/lce, 2016
  7. The Transmission Process: A Combinatorial Stochastic Process on Binary Trees over the Contact Network of Hosts in an Epidemic, Raazesh Sainudiin and David Welch, Research Report UCDMS2015/4, 2015, 31 pages, 2015 (PDF 684KB)
  8. A Beta-Splitting Model for Evolutionary Trees, Raazesh Sainudiin and Amandine Véber, Research Report UCDMS2015/3, 20 pages, 2015 (PDF 272KB). Also see final publication in Royal Society Open Science 3: 160016, 2016
  9. Some Distributions on Finite Rooted Binary Trees, Sean Cleary, Mareike Fischer, Robert C. Griffiths and Raazesh Sainudiin, Research Report UCDMS2015/2, 21 pages, 2015 (PDF 616KB)
  10. A Microscopic Gibbs Field Model for the Macroscopic Behavior of a Viscoplastic Fluid, Raazesh Sainudiin, Miguel Moyers-Gonzalez and Teodor Burghelea, Research Report UCDMS2014/1, 17 pages, 2014 (PDF 5.6MB)
  11. L_1-consistent adaptive multivariate histograms from a randomized queue prioritized for statistically equivalent blocks, Gloria Teng, Jennifer Harlow and Raazesh Sainudiin, Research Report UCDMS2014/2, 15 pages, 2014 (PDF 716KB)
  12. Ancestries of a Recombining Diploid Population, Raazesh Sainudiin, Bhalchandra Thatte, and Amandine Véber, Research Report UCDMS2014/3, 42 pages, 2014 (PDF 472KB)
  13. MRS: C++ Class Library for Statistical Set Processing (Version 1.0) [Software], Jennifer Harlow, Raazesh Sainudiin and Thomas York, Available from http://lamastex.org/codes/mrs/, 2013
  14. Catalan Coefficients, Raazesh Sainudiin, William Taylor and Gloria Teng, Sequence A185155 in The On-Line Encyclopedia of Integer Sequences, 2012, published electronically at http://oeis.org
  15. Multi-threaded rigorous global optimization with Intel threading building blocks and thread-safe parts of C-XSC, Brendan Bycroft and Raazesh Sainudiin, March 13, 2011 (PDF 288KB)
  16. A mechatronically measurable double pendulum for machine interval experiments, Piers Lawrence, Michael Stuart, Richard Brown, Warwick Tucker and Raazesh Sainudiin -- Indian Statistical Institute Technical Report, isibang/ms/2010/11, October 25, 2010 (PDF or PDF 900KB)
  17. A C++ Class Library for Statistical Set Processing, Raazesh Sainudiin and Jennifer Harlow, In Rajendra Bhatia (Ed.), Short Communication in Mathematical Software, International Congress of Mathematicians, Hyderabad, August 19-27, 2010, Section 21, p. 670, Hindustan Book Agency, India, 2010
  18. "A unified multi-resolution coalescent: Markov lumpings of the Kingman-Tajima n-coalescent", Raazesh Sainudiin and Tanja Stadler -- Research Report UCDMS2009/4, April 5, 2009 (PDF 680KB); Version 2 revised on October 12, 2009 (PDF 692KB); Version 3 revised on September 14, 2013 (PDF 368KB); Version 4 revised on April 29, 2014 (PDF 384KB)
  19. "An Auto-validating Rejection Sampler", Raazesh Sainudiin and Thomas York -- BSCB Dept. Technical Report BU-1661-M, December 2005 (PDF 1.7MB, arXiv link, Related Reports: PDF or PDF 2623KB)
  20. Machine interval experiments, Raazesh Sainudiin, Ph.D. dissertation in the field of Statistics, Cornell University, May 2005 (PDF 1.8MB)
  21. Enclosing the Maximum Likelihood of the Simplest DNA Model Evolving on Fixed Topologies: Towards a Rigorous Framework for Phylogenetic Inference, Raazesh Sainudiin -- BSCB Dept. Technical Report BU-1653-M, February 2004 (revised December 2004) (PDF 1.7MB)
  22. Statistical inference of microsatellite models: An application to humans and chimpanzees, Raazesh Sainudiin, M.S. thesis in the field of Biometrics, Cornell University, 2003 (PDF 584KB)