Application of Emerging Data Techniques in Railway Maintenance
December 11-12, 2018
University of Delaware
(1.4 ceu’s or 14 professional development hours awarded for full participation)
Technology advances enable an ever increasing collection of data. The technical challenge lies in how to best utilize the benefits and capitalize on the opportunities presented by “big data.” The Application of Emerging Data Techniques in Railway Maintenance, a 2-day professional development course, focuses on data analysis techniques and practical case studies that are directly applicable to professionals working in Railroad Track Engineering.
Program Fee includes course handouts, continental breakfasts, and University parking. For more information regarding program fees, please see registration tab.
Topics covered include:
BACKGROUND TO DATA ANALYSIS:
Introduction to data
- Box Plots
- Q-Q Plots
- Univariate and Multivariate Analysis
- Correlation and Covariance
- Scatter Plots
- Regression Analysis
“BIG DATA”/DATA SCIENCE ANALYSIS TECHNIQUES (I):
- Machine Learning
- Supervised/Unsupervised Learning
- Learning Processes
- Support Vector Machines (SVM)
“BIG DATA”/DATA SCIENCE ANALYSIS TECHNIQUES (II):
- Kernel Methods
- Multivariate Adaptive Regression Splines (MARS)
“BIG DATA”/DATA SCIENCE ANALYSIS TECHNIQUES (III):
- Deep Learning and Neural Networks
- Feedforward Neural Networks
- Deep Belief Networks (DBN)
- Convolutional Neural Networks (CNN)
“BIG DATA”/DATA SCIENCE ANALYSIS TECHNIQUES (IV):
- Bayesian Analysis
- Bayesian Networks
- Naïve Bayes
- Gibbs Sampling
- Metropolis Hastings Algorithm
- Markov Chain Monte Carlo Application (MCMC)
- Track geometry and ballast condition information
- Tie condition information
- Software Implementations – Examples Using R-Software and Ipython
- Rail defect vs. Geometry Defect Relationships
- Geometry Degradation Forecasting
- Tie failure analysis
Program Fee includes course handouts, continental breakfasts, and University parking.
Individual Registrations: $795/person
Group Registrations (for 3 or more from the same company): 15% discount
Early Registration Discount: Deduct 10% /person if registering prior to December 1, 2018.
- Enrollment Deadline: November 15, 2018
- Cancellations and Substitutions: Refunds will be granted if the request is received in writing by March 14, 2018. Substitutions are permitted up through the first day of the course.
- Registration Confirmation: A confirmation e-mail will be sent a week to 10 days prior to the start of the program and will include directions to campus/parking.
- Accommodations & Transportation: Participants are responsible for making their own housing and transportation arrangements. Air transportation should be arranged to either Philadelphia or Baltimore airport. Amtrak runs through Wilmington, DE and also has limited stops in Newark, DE.
Call early and ask if the University of Delaware affiliated hotel rates are available for the dates you are requesting from the following hotels: Courtyard by Marriott– UD Campus Hotel – 400 Pencader Way, Newark, DE, 1-302-737-0900 Embassy Suites, Newark – 654 S. College Ave., Newark, DE. 1-302-368-8000 Homewood Suites – 640 S. College Ave., Newark, DE, 1-855-605-0320
Nii 0. Attoh-Okine, PhD, Professor of Civil Engineering at the university of Delaware is an expert in the application of statistical analysis to infrastructure application; probability graphical models; computational and large scale infrastructure data analysis. He has extensive experience in the application of statistical analysis and probability theory in the areas of Application of Mathematical Statistics to Large Scale Infrastructure Data, with application to highways, and railways. He has a Ph.D. from the University of Kansas and a Diplom Ingineur from the Rostov Institute of Civil Engineering, in Russia. He is a registered professional Engineer in Kansas and Editor of numerous textbooks and journals ASCE and IEEE journals, as well as author of numerous technical papers in his areas of expertise.
Dr. Attoh-Okine’s recently published book is Big Data and Differential Privacy: Analysis Strategies for Railway Track Engineering. John Wiley Publishers [May 2016]
Joseph W. Palese, MCE, PE is a Senior Scientist and Program Manager: Railroad Engineering and Safety Program at the University of Delaware. He has over 28 years of experience in track component design and analysis, failure analysis and component life forecasting algorithm specifications, and development of inspection systems. Throughout his career, Mr. Palese has focused on acquiring and utilizing large amounts of track component condition data for planning railway maintenance activities.
Mr. Palese has a Bachelor’s Degree of Civil Engineering, and a Master’s Degree of Civil Engineering, both from the University of Delaware, along with a MBA from Rowan University. He is currently pursuing hid PhD in Civil Engineering at the University of Delaware. He is a registered Professional Engineer in the state of New Jersey.
Allan M. Zarembski, PhD, P.E., FASME, Hon. Mbr. of AREMA joined the University of Delaware faculty as Research Professor and Founding Director of UD’s Railroad Engineering and Safety Program in 2012. An internationally recognized authority in the fields of track and vehicle/track system analysis, railway component failure analysis, track strength, and maintenance planning, Dr. Zarembski founded and served as President of ZETA-TECH Associates, Inc., a technical consulting and applied technology company in 1984, now an independent business unit of Harsco Rail. Prior to that, he had served in R&D positions with Pandrol, Inc. and Speno Rail Services Co., and was Manager of Track Research for the Association of American Railroads. He has also served as Deputy Director of the ASME’s Track Train Dynamics Program, and has presented numerous railroad engineering short courses throughout the U.S.
Author or co-author of more than 170 technical papers, 120 technical articles, and two books published by Simmons Boardman Books, Dr. Zarembski’s work and expertise have been recognized with numerous honors, including being named an honorary member of AREMA, and receiving both the American Society of Mechanical Engineers’ Rail Transportation Award in 1992, and the U.S. Federal Railroad Administration’s Special Act Award in 2001. He is a member of the American Society of Civil Engineers, and is a registered Professional Engineer in five states. Dr. Zarembski earned the MA and PhD in Civil Engineering from Princeton University, and the MS in Engineering Mechanics and BS in Aeronautics and Astronautics from New York University.