THE USM DATA SCIENCE ENSEMBLE
The Dubyak Center for Digital Science and Innovation is proud to present The USM Data Science Ensemble: a seminar series focused on AI and Data Science. This monthly series will feature talks by our invited, keynote speakers Reza Zadeh, Luis Carvalho, Ryan Taylor, Robert Swain, Allan Hanbury, Vikas Singh, Ahmad P. Tafti, Mehdi Maadooliat, and Hilal Maradit Kremers. All of our speakers are highly distinguished members of their respective fields, representing cutting-edge research interests. Each talk will provide a professional forum for data scientists, artificial intelligence (AI) practitioners, and applied machine learning researchers to present their latest research findings and innovations.
Each seminar will consist of a combination of talks, panel discussions, and paper/poster presentations. We reserve significant time for open discussions on sharing best practices and future directions in the field.
Our focus is on exploring the intersection of data science and real-world applications. We hope this series will bring together scientists and interested audiences to explore the open problems, applications, and future directions in AI and data science. Click the links below to learn more about our past events as well as our upcoming events, and how to attend them via Zoom.
Modeling Residential Burglaries in Boston: a Data Science Case
Our March 4th event featured Luis Carvalho's presentation on a new methodology for modeling events in a network, using residential burglaries in Boston as a case study.
Applying Data Analytics in the Corporate Context
Our April 1st event featured Ryan Taylor and Robert Swain's presentation sharing their data and analytics transformation journey when applying analytics in the corporate context.
Effective and Efficient Neural Re-Ranking in Information Retrieval
Join us on May 6th, 4 - 5pm EDT, for Allan Hanbury's presentation on new approaches to overcoming disadvantages related to neural re-ranking in information retrieval.
Why Fairness in Deep Learning matters (and why social implications of AI is just one of many reasons)
Join us on June 3rd, 4 - 5pm EDT, for Vikas Singh's presentation on designing fair machine learning algorithms for modern deep learning systems.
Functional Singular Spectrum Analysis
Join us on August 5th, 4 - 5pm EDT, for Mehdi Maadooliat's presentation introducing a new extension of the Singular Spectrum Analysis (SSA) called functional SSA.
Our adventure with AI methods in orthopedics: lessons learned
Join us on October 7th, 4 - 5pm EDT, for Hilal Maradit Kremers' presentation on the natural language processing and deep learning computer vision algorithms being used to improve orthopedic surgical procedures focused on the hips and knees.