Overview: this 4-day intensive workshop aims to provide students with expertise in the methods and tools of computational artificial intelligence that they can apply to their ongoing research. The workshop will include survey lectures of topics from the field, investigation of practical examples, and discussion of applicability to students research projects. In order to promote engagement between instructor and students, the class size is limited to 15 students selected from workshop applicants. While students must have some experience in applying statistical and computational methods, no detailed background in computational AI is assumed, and students from any domain of Data Science are encouraged to apply.
Dates: Tuesday 9/17/2019 to Friday 9/20/2019, 9:00am-5:00pm
Location: Texas A&M University
Instructor: Prof. Fernando Buarque de Lima Neto (University of Pernambuco, Brasil, Adjunct Prof Texas A&M ECE)
Sponsor: Texas A&M Institute of Data Science
Audience: PhD students who have passed their qualifying exam, are engaged in complex data-driven research in any domain, and who wish to incorporate AI-based modeling and/or simulation approaches into their work.
Prerequisites: programming and data manipulation skills and a strong background in an application domain for data-driven research
Application Procedure: applicants should send a single pdf file by email to email@example.com with the subject line “Computational / Artificial Intelligence Workshop Application” and containing the following:
- Student resume, including list of graduate courses taken
- Statement of their PhD research problem and the benefit they hope to derive from the workshop (500 words maximum)
- Statement of their commitment to attend the complete workshop if application is successful
- Letter of support from their PhD advisor, including consent for the student to miss any other academic activities (e.g. lectures) scheduled at the same time as the workshop
Deadline for Applications: end Thursday 8/22/2019
Notification of Acceptance: Thursday 8/29/2019
Enquiries: Prof. Ulisses Braga-Neto, Texas A&M ECE Department, firstname.lastname@example.org
Speaker Biography: Fernando Buarque de Lima Neto received his Ph.D. in Artificial Intelligence from the University of London-Imperial College (2002). He is head of Computational Intelligence and Associate Professor at the University of Pernambuco-Brazil, where he has supervised over 100 students in the PhD, MSc and BSc final dissertations. He has authored over 200 scientific publications and holds visiting positions at Texas A&M University, Florida Tech, University of Johannesburg and University of Münster-WWU (also Research Ambassador of WWU). He is Alexander von Humboldt Fellow and IEEE Senior Member. His current research focuses on Intelligent Computational for Modeling/Simulation and Decision Support Systems. He has previously delivered workshops in Computational / Artificial Intelligence for advanced PhD students in RWTH Aachen-Germany, University of Münster-Germany (twice), and in Naples-Italy, at the Università degli Studi di Napoli Federico II