Call of Workshop Duty: Advancing Games Research
Abstract | Games offer platforms to attract a large population to engage in training and decision-making activities, providing a valuable resource for systems engineering research. This workshop calls CSER 2019 participants to duty to define key future directions in games research. The goal of the workshop is to identify unique topics in games research that can advance systems engineering and attract funding from industry and government agencies. The workshop will foster discussions related to the use of games in training and understanding individual and collective behaviors for systems engineering applications. The workshop will also feature game elements to improve participant engagement.
Dr. Bryan Mesmer, University of Alabama – Huntsville
Bio: Dr. Bryan Mesmer is an Assistant Professor in the Department of Industrial and Systems Engineering and Engineering Management at the University of Alabama in Huntsville. His work has focused on eliciting, representing, and analyzing preferences present in systems engineering. His gaming research has investigated the benefits that gaming and systems engineering gain from adopting techniques from the other.
Dr. A. Emrah Bayrak, Stevens Institute of Technology
Bio: Dr. A. Emrah Bayrak is an Assistant Professor in the School of Systems and Enterprises at Stevens Institute of Technology. His research focuses on the design and optimization of smart and interconnected engineering systems. His recent work on gaming has studied crowdsourcing and computational methods for the solution of dynamic design problems and modeling decision-making in human-artificial intelligence teams in complex dynamic environments.
Workshop: Text Processing
Abstract | This workshop is an introduction to Natural Language Processing. We will cover the basic concepts behind processing text, the different approaches to extract insights, how to leverage on Machine Learning. Because there is no single solution for processing text, we will analyze what are the most proper ways to approach the different categories of text and needs. We will focus on a context-driven approach to text processing, that is the emerging way to do it, because of the continuous evolution of the language. The workshop has a classical lecture format plus hands-on sections, using Open Source tools both data science-generic, Knime, and text specific, Wordij.
Dr. Carlo Lipizzi, Industry Professor, Stevens Institute of Technology
Bio: Carlo Lipizzi is a Machine Learning and Data Science Professional serving Academia and Private sector.
At the School of Systems and Enterprises of the Stevens Institute of Technology (Stevens) he is an Industry Professor, the program lead of the Engineering Management and Systems Analytics graduate programs and manages a multi-million dollar Systems Engineering Research Center (SERC) research task on a convergent use of Natural Language Processing, Machine Learning, Data Mining and Data Visualization. Carlo has a Ph.D. in Engineering Management from Stevens, an Executive Management Degree from IMD, Lousanne, CH, and a Master equivalent in mathematics (“Laurea in Scienze Matematiche”) from the University of Rome, Italy.
