Research & Presentations
2022-2023
- Keeley D., Suess E.A., (2023) Accuracy of Precipitation Forecasts: Finding the Right Threshold for what is Considered Rain, Journal of Computational Statistics paper
2021-2022
- JSM 2021 Seattle (on-line), speed talk, Jedidiah Harwood and Eric A. Suess, The Rose Garden Event: A Hierarchical Bayesian Approach to Modeling Positive Coronavirus video
2020-2021
- Bay Area R User Group (BARUG), COVID19 Data Hub, A curated COVID19 R Package, RPubs
Engineering Management Capstone Projects
- Data Science for Industrial Engineering, Sajith Gowthaman, 2020
2019-2020
- Shenzhen Talk, Data Science and Machine Learning
Engineering Management Capstone Projects
- Time Series Analysis and Forecasting of Gross Domestic Product (GDP) for the United States of America Using Time Series Methods, Sanket Kiran Annigeri, Harsh Parel, 2019
2018-2019
- JSM 2018 Vanvouver, Data Competition Winner, Keeley D., Suess E.A., Accuracy of Precipitation Forecasts: Finding the Right Threshold for what is Considered Rain paper
- JSM 2018 Vancouver, paper Sheth M., Gundreddy M., Shah V., Suess E.A., Spatial and Temporal Trends in Weather Forecasting and Improving Predictions with ARIMA Modeling paper
Engineering Management Capstone Projects
- Impact of the 2007-2009 recession on the United States Economy, Aditya Pareek 2018
- Forecasting with Machine Learning, Jason Lash 2018
2017-2018
- Trumbo B.E., Suess E.A. (2017) Simulations. In: Alhajj R., Rokne J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY Simulations
- JSM 2018 Vancouver, poster presentation, Classroom Demonstration: Deep Learning for Classification and Prediction, Introduction to GPU Computing
- JSM 2018 Vancouver, Data Exp0 2018, poster presentation, Prize Winner poster First Prize
Center for Student Research, CSR Scholar's Program
- Larangeira, Guilherme - Deep Learning with Keras, Tensorflow and Statistical Programming Language, R poster
- Li, Qing - Clustering & Predictive Analysis of Kaggle’s TMDb 5000 Movie Dataset poster
Engineering Management Capstone Projects
- Comparison of the Socio-Economic Status of California to the Other States of the United States of America, Shrivas Ramakrishna 2017
- Electric Forecasting of Pacific Gas & Electric Company, Abhinay Kakumani 2017
- Forecasting & Inventory Analysis on General Motors Company using SAS vs QM Softwares, Bharath Kumara Adapala and Raja Satakopan Ramdass 2017
- Computation of Facebook Metrics of a Cosmetic Brand Using SAS, Veerendra Bhargav Ganti and Abhyuday Thunga 2017
- Process Improvement in a Call Center using Six Sigma Techniques, Mohommed Saifullah Khan 2017
- Analysis of NBA Players' Tweets Sentiment, Twitter use Habits and Popularity, Pei Ching Chen 2017
- Forecasting and Inventory Analysis on Retail Companies by Using Tableau, Richa Agrawal and Krishnasree Devarapalli 2018
- Correlation Analysis on U.S. Unemeployment Using Minitab, Srividya Rangarajan and Surya Venkatesh Peri 2018
2016-2017
Engineering Management Capstone Projects
- A Holistic View Into the Future of Teleworking, Anu Prakash 2016
- Sentiment Analysis of Tweets Using Hash Tags, Pashanth Chandrappa 2016
- ANOVA for Compost Reactor in Python, Zainab Sayyed Mohammed Iqbal 2017
- Seasonal Analysis of Electric Vehicles Sales, Gurumanoj and Jude Satish Simonraj 2017
2015-2016
- Bayesian Deconvolution of Signals Observed on Arrays. Journal of Time Series Analysis. abstract
- Presentation: CSU East Bay Statistics, Data Science Club: First Meetup What is Data Science
2014-2015
- JSM 2015 Seattle, poster presentation Classroom Demonstration: Data Visualization in Introductory Statistics classes, bubble charts and maps
2013-2014
- Trumbo B., Suess E. (2014) Gibbs Sampling. In: Alhajj R., Rokne J. (eds) Encyclopedia of Social Network Analysis and Mining. Springer, New York, NY Gibbs Sampling
- JSM 2014 Boston, poster presentation Classroom Demonstrations of Big Data paper paper.pdf
- JSM 2014 Boston, poster presentation Classroom Simulation: Distribution of Ties Induced by Rounding paper paper.pdf
2012-2013
- JSM 2013 Montreal, poster presentation Classroom Demonstrations of Parallel Processing for Computational Statistics
2011-2012
- DOWJONES Women at the Wheel, Do Female Executives Drive Start-Up Success
- Presentation, DeAnza College CSUEB Interface
2010-2011
- Introduction to Probability Simulation and Gibbs Sampling with R. Suess and Trumbo book
- Presentation made for the China American Business and Education Center, College of Business and Economics, CSU East Bay U.S. Statistics U.S. Surveys
- JSM 2011 Miami, poster presentation Effect of Oil Spill on Birds: A Graphical Assay of the Deepwater Horizon Oil Spills Impact on Birds Prize Winners Third Prize
2009-2010
- CSUPERB 22nd Annual CSU Biotechnology Symposium, poster presentation, Biostat_poster.ppt
- Advances in Bioinformatics and Genomics Symposium Rtutorial.ppt
- ICOTS8 The Strength of Evidence Versus the Power of Belief: Are We All Bayesians?
- JSM 2010 Vancouver, paper Classroom Derivation and Simulation: An Asymptotic Two-Sample Test for Comparing Population Medians
2008-2009
- 2009 Annual Air & Wast Management Association (AWMA) Conference Presentation Development of Startup & Shutdown Permit Limits Based Upon Historical Data from Combutstion Sources Monitored by CEMS
2007-2008
- JSM 2008 Denver, paper Classroom Use of R: Coverage Probabilities of Poisson Interval Estimates.pdf
Special Masters of Science in Computational Biology, Thesis
- A Computational Platform for Analyzing The C. Elegans Nervous System, Eric W. Wasiolek, 2008
2006-2007
- JSM 2007 Salt Lake City, Classroom Simulation: Distributions of Sales and Queue Lengths at a Fast-Food Counter.pdf
2005-2006
- Stats How Much Confidence You Have in Binomial Confidence Intervals?
- JSM 2006 Seattle, poster presentation Is it Normal? A Simulation Study of Properties of Some Normality Tests paper paper.pdf
- JSM 2006 Seattle, poster presentation Classroom Simulation: Indicators of Outliers in Boxplots of Normal Data paper paper.pdf
- CSU Annual Student Research Competition: Women: Work or Not? Xiaoyin Zhong, First Place
2004-2005
- Stats Simulation: Computing the Probabilities of Matching Birthdays
- JSM 2005 Minneapolis, Classroom Simulation: Understanding One-Way Random-Effects ANOVA Poster.doc, aov00d1.odc, aov00d2.odc, aov01d1.odc, aov01d2.odc
- JSM 2005 Minneapolis, Classroom Simulation: The Margin of Error in a Public Opinion Poll, PollPosters.doc, PollHandout.doc paper paper.pdf
- CSU Annual Student Research Competition: Comparing Analogical and Self Mapping on Time Conceptualization Jessica Chevalier, First Prize
2003-2004
- JSM 2004 Toronto, poster presentation Classroom Simulation: Are Variance-stabilizing Transformations Really Useful? paper paper.pdf
- JSM 2004 Toronto, poster presentation An Introduction to R: Simulating Birthday Matches in the Nonuniform Case paper paper.pdf
2002-2003
- Relationship Between Football Playing Ability and Selected Performance Measures. The Journal of Strength and Conditioning Research. abstract
- JSM 2003 San Francisco, poster presentation Using Simulation Methods in Statistics Instruction: Evaluating Estimators of Variability paper.pdf
2001-2002
- Hierarchical Bayesian Model for Certification of a Country as ‘Free’ from an Animal Disease. Preventive Veterinary Medicine. abstract paper.pdf
- Stats Using Computer Simulation to Investigate Relationships Between the Sample Mean and Standard Deviation
- CSU Annual Student Research Competition: Improving prediction methods to estimate power curtailment Saki Kinney
- CSU Annual Student Research Competition: A user-friendly SAS program for determining statistical dependence between variables in observational studies Xiaojie Li, First Prize
- CSU Annual Student Research Competition: Analysis of Microarray Genomic Data of Breast Cancer Patients Hui Liu
2000-2001
- Stats Elementary Uses of the Gibbs Sampler: Applications to Medical Screening Tests
- CSU Annual Student Research Competition: Cross-Validation vs. Bootstrap: Estimates of Prediction Error in Statistical Modeling Script_hor.ssc ScriptCrossVal.SSC Kaniz Rachid Lubana Mamun
1999-2000
- JSM 2000 Indianapolis, Certifying Countrywise Disease Freedom in Animal Livestock Populations: A Bayesian Approach
- ISEEV7 Hierarchical Bayesian Model for Certification of a Country as "Free" from an Animal Disease
1998-1999
- JSM 1999 Baltimore, Bayesian Deconvolution of Seismic Array Data Using the Gibbs Sampler