Research & Presentations


2025-2026

OSCAR Scholar's Program

  • Shruti Gajre, Student; Shrusthi HC, Student; Eric A. Suess; LLM-Driven Book Genre Classification & Sentiment Analysis oscar-posters.pptx

2023-2024


2022-2023


2021-2022


2020-2021

  • 2020 Annual Air & Waste Management Association (AWMA) Conference, Shivkumar, Aditya P., Gregory, Sean R., Suess, Eric A., Suess, David T., Startup and Shutdown Air Permit Limit Development Framework for Combustion Sources Monitored by Continuous Emission Monitoring Systems

  • Bay Area R User Group (BARUG), COVID19 Data Hub, A curated COVID19 R Package, RPubs

Center for Student Research, CSR Scholar's Program

  • Islas, Nathaniel, Project Title: Classifying Genetic Mutations Based on Medical Literature Using Machine-Learning

Engineering Management Capstone Projects

  • Data Science for Industrial Engineering, Sajith Gowthaman, 2020

2019-2020

Center for Student Research, CSR Scholar's Program

  • Bahlibi, Abraham, Project Title: Racial Prejudice in Yelp Reviews by using Topic Modeling and the Racial Position Model

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

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


2013-2014


2012-2013


2011-2012


2010-2011


2009-2010


2008-2009


2007-2008

Special Masters of Science in Computational Biology, Thesis

  • A Computational Platform for Analyzing The C. Elegans Nervous System, Eric W. Wasiolek, 2008

2006-2007


2005-2006


2004-2005


2003-2004


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


2000-2001


1999-2000


1998-1999