Choudur Lakshminarayan (lchoudur)

Choudur Lakshminarayan

Teaching Professor

School of Business

Edwin A. Stevens Hall 402


  • PhD (1990) Texas (Mathematical Sciences)


Research Areas
Large-Scale Machine Learning, Mathematical Statistics, Applied Mathematics, Biostatistics, Statistical Signal Processing, Data Mining, Text Mining, and Industrial Mathematics, and Causal Inference.

Application Areas
Highly Scalable Algorithms, Sensor Analytics, Healthcare and Pharmaceuticals, Energy, Semiconductor manufacturing, Database Technology, Large Scale Data centers, Finance, Marketing Optimization, Web analytics, Digital Marketing



Industry Professor of Statistics, College of Business, Stevens Institute of Technology

Adjunct Assistant Professor
, Department of Statistics and Data Sciences and Electrical and Communication Engineering, The University of Texas at Austin, 2018-2022

Adjunct Professor, Department of Mathematics and Statistics, American University, D.C., 2020-2022

Faculty Affiliate and Adjunct Assistant Professor, Department of Statistics and Data Sciences, The University of Texas at Austin, September 2012-2022

Visiting Professor, Indian Institute of Technology, Hyderabad, Department of Electrical Engineering, Spring, 2012- June 2013

Professor, Indian Institute of Information Technology, Bangalore, 09/2003-06/2004


Engineering Fellow, Sr. Director, Chief Data Scientist, Teradata Labs, 2016-2022

Principal Research Scientist, Big Data Advanced R&D Center, Hewlett-Packard Laboratories, 2013-2016

Principal Research Scientist, Hewlett-Packard Laboratories, 2007-2013

Senior Research Scientist, Hewlett-Packard Laboratories, 2002-2007

Sr. Member Technical Staff, E-Business Research, Compaq Computer 2001-2002

Member Technical Staff, Advanced Product Development and Research Labs, Motorola, 2000- 2001

Mathematical Statistician, Texas Instruments, 1992- 2000

Analyst/Biostatistician, Johnson and Johnson, 1988-1989Scientific

Institutional Service

  • Stevens Institute for Artificial Intelligence Member
  • Program Academic Committee for the Business Intelligence and Analytics (BIA) and Management Information Systems (MIS) programs. Member
  • Undergraduate Curriculum Committee for 2023-2024 Member
  • Course development for Frontiers of Technology Member
  • BI&A faculty meeting Member
  • Non tenure track lecturer position in Information systems Chair
  • Non-tenure track lecturer in Analytics Member
  • Non tenure track position in Information systems Chair
  • Search Committee for non-tenure track position in Analytics Member

Professional Service

  • American statistical association, Austin Chapter Vice President

Consulting Service

LiveOak Inc
Machine Learning and Forecasting models for predicting luxury real-estate properties going on sale in Southern California
7X.Energy, Solar Energy
Battery Storage Optimization and Bidding for Wind and Solar at Sub Stations in Texas
Rollick, Austin, Texas
Campaign Optimization for Forklifts by Toyota
BrilliantMD, An Austin based Health Analytics Company, 2016-2017
Analytical pipelines for optimized care-giving from acute care to rehabilitation
Imanage, a document analytics company, Chicago, Illinois, 2016-
Machine Learning for Document Clustering and Classification. Detection of fraud by attorneys at Law firms.
Realtor.Com, A Newscorp Company, Santa Clara, California
Machine Learning and Forecasting models for predicting real-estate properties going on sale in the United States of America.
Hologic Systems, Marboro, Massachusetts, 2017
Image recognition for automated Detection of Cancer of the Cervix.
Alberta Open Data Institute
A Canadian government initiative for analytics of publicly available data related to Healthcare, Energy, and other verticals with consequences to public policy
McKinsey & Company, Institute for Corporate Excellence, Washington, D.C., 2007
Consulting on Text analytics and mining methods to analyze enduring corporate excellence
BHEL, Research and Development, Government of India, 2007
Adviser on the project related to Gas turbine diagnostics and monitoring via machine learning
B2K Corporation and Brickwork, Bangalore, India, 2003-2005
Adviser related to Quantitative methods, Analytics, and Training in Finance, retail, Business process outsourcing, and Engineering
National Bank of Kuwait, Kuwait City, Kuwait, 2004
Workshop on “Analytics in Banking,” and advise on project related to customer recruitment and Retention, Kuwait City, Kuwait
Government of Karnataka, Revenue Department, 2003
Adviser related to Mining government lands records data to detect trends in crop yields, mutation time for deed transfers, and other aspects of government owned lands and tracts
World Omni Financial Corporation (Subsidiary of Toyota corporation), Deerfield Beach, Florida, 2000


Selected Appointments

Associate Editor, Journal of Applied Stochastic Models in Business and Industry (ASMBI), Wiley

Quality and Productivity Research Conference (QPRC), American Society for Quality, 2019 (program committee)

SIAM International conference on data mining (program committee)

Joint Statistical meetings (program committee)
HP Tech Con’11, (Review Committee Member)

International Conference on Big Data Analytics, 2012, New Delhi, India (program committee)

Innovation and Entrepreneurship

Co-Founder, Chief Scientific Officer, Pattern Sciences LLC: An Austin based Startup involved in Data Sciences and Machine Learning in Healthcare applications, and Department of Defense contracts.

Honors and Awards

Elected Fellow of the American Statistical Association

Engineering Fellow, Teradata Corporation

Elected Sr. Member Technical Staff, Advanced Career Path, Compaq Computer

Elected Master Technologist, Technical Career Path, HP laboratories

Over 30 issued United States Patents

Hewlett Packard Innovation Award Return on marketing Investment HP Star Award

Special Invited Paper, Topological Data Analysis in Digital Marketing, International Society for Business and Industrial Statistics

Special Invited paper, Markov Random Fields in Pattern Recognition for Semiconductor Manufacturing, Institute of Mathematical Statistics/American Statistical Association, Spring Research Conference, Alexandra, Virginia, (2001)

Professional Societies

  • ASA – American Statistical Association Fellow

Patents and Inventions

Selected Patents

Segments of contacts, 11,244,332, February 8, 2022
Incrementally Updating a Database Statistic, 10,922,314, February 16, 2021
Singular Value Decompositions, 10,012,1527, September 1, 2020
Segments of Contacts, 10,565,603, February 18, 2020
Multi-column statistic generation of a multi-dimensional tree, 10,545 January 28, 2020
Managing Database with Counting Bloom Filter, 10,452,676, October 22, 2019
Incrementally Updating Statistics, 10,430, 41, October 1, 2019
Estimating Unique Entry Counts Using a Counting Bloom Filter, 9, 465,826, October 11, 2016
Generating a Qury plan for estimating a number of unique attributes, in a database, 9,576,027, February 21, 2017
Energy Based Wavelet Thresholding, 9,405,731, February 21, 2017
Anomaly Detection in Streaming Data, 9,218,527, April 1, 2014
System and Method for Ranking Anomalies, 9,141 914, September 22, 2015
Estimate the number of unique values in a list, 9,158, 815, October 13, 2015
Detecting Regime Change in Streaming Data, 9,078,629, July 14, 2015
Classifying Unclassified Samples, 9,037,518, May 19, 2015
Anomaly Detection in Data Centers, 8,668,620, April 1, 2014
Classification of a signal in a time domain,8,706,203, April 22, 2014
Compression of Non-dyadic Sensor data Organized within a Non-dyadic Hierarchy, 8,898,209, November 25, 2014
Estimation of Unique Database Values, 8,549,004, October 1, 2013
Website Analysis using Quantitative and Qualitative Data, 8,396,737, March 12, 2013
Method and System for Site Path Evaluation Using Web Session Clustering, 8,572, 223, October 29, 2013
Method and apparatus for identifying anomalies of a signal, 8,620,609, December 31, 2013
Prediction of Financial Performance for a Portfolio of Marketing Investments, 8,180,693, May 15, 2012
System and Method for Incorporating Qualitative inputs in Econometric Models. 8,180, 694, May 15, 2012
System and method for optimizing financial performance generated by marketing investments under budget constraints, 8,027,897, September 27, 2011
Multi Regime Detection in Streaming Data, 8,620,987
Process Capability Metrics in On-line Monitoring, (US7,002,106,82): Defensive Publication
System and Method for estimating unique attributes in a database, 7,428,550, September 23, 2008

Selected Publications


    Book Chapter

    1. Lakshminarayan, C. (2023). Clinical Trial Designs, Real World Data, and Statistical Thermodynamics. Procceddings (pp. 39-49). Springer: XIV International Workshop on Intelligent Statistical Quality Control.


    Data Science Principles (Statistical Learning)
    Statistical Software using SAS
    Probability and StatisticsApplied Statistics for Business and Management
    Linear programming and applications
    Analytic Geometry
    College Algebra

    Streaming Data Analytics
    Data Management
    Foundations of Business Analytics
    Multivariate Analysis
    Linear Models theory
    Streaming Data and Pattern Analysis (Statistical Time Series)
    Foundations of Probability and Statistics
    Statistical Pattern Recognition
    Applied Statistics for Scientists and Engineers
    Statistical Quality ControlLinear Regression Analysis
    Mathematics for Management sciences

    Industrial Training (Advanced)
    Design and Analysis of Statistical Experiments, Texas Instruments Incorporated)
    Statistical Process and Quality Control, Texas Instruments Incorporated
    Large-Scale Machine Learning: Theory and Computation (Teradata Engineering)