Seminar in AI - Fall 2020

Sponsored by the Institute for AI+X

This weekly seminar will focus on broad research issues in artificial intelligence, image analysis, computer vision, pattern recognition, robotics, applied machine learning and other relevant fields. The purpose of the seminar is to provide the participants with the understanding of current research in these areas, as well as to promote greater awareness and interaction between multiple research groups within USF and in Tampa Bay area. The format of the course is informal. Scheduled presentation by participants and invited speakers are followed by question and answer period. The seminar is open to all students interested in artificial intelligence research. Faculty and researchers interested in these fields are invited to virtually attend. Please contact Larry Hall (lohall@mail.usf.edu) to be added to the mailing list to get the link for a lecture.

Time: 1:00-2:00pm, Friday, via Blackboard Collaborate Ultra
Faculty coordinator : Lawrence O. Hall, Office: ENB 330
Email lohall@mail.usf.edu

Date	Speakers	Topic
Aug. 28	Organization
Sep. 4	Mauricio Pamplona Segundo	High-resolution Synthetic Fingerprint Generation
		CT Image for CNN's
Sep. 11	John Licato	Analogical Reasoning: Separating human from machine (and animal) cognition
Sep. 18	Shaun Canavan, USF	Affective Computing: Past, Present, and Future
Sep. 25	Caio da Silva	On Recurrent Neural Networks for Multivariate Time Series with Missing Values By Che, et. al. (https://www.nature.com/articles/s41598-018-24271-9),
Oct. 2	Issam El Naqua - Chair, Department of Machine Learning at Moffitt Cancer Center	Machine Learning in decoding epi/genomic architecture and variant structures.
Oct. 9	Hunter Morera	Abnormality Detection in Wireless Capsule Endoscopy Using Deep Neural Networks
Oct. 16	Gilbert Rotich	Representation Learning in Satellite Images for Fine-Grained Building Detection
Oct. 23	Kaoutar Ben Ahmed	Ensembles of Convolutional Neural Networks for Survival Time Estimation of High-grade Glioma Patients from Multimodal MRI
Oct. 30	Alessandro Negro, Graph Aware	Fighting COVID-19 by Finding Relevant Converging Research Patterns with Knowledge Graphs
Nov. 6	Sven Dickinson, University of Toronto, Samsung Research	The Role of Symmetry in Human and Computer Vision
Nov. 13	Diane Cook, Regents Professor and Huie-Rogers Chair, Washington State University	Constructing a Human Digital Twin
Nov. 20	Prof. Sriram Chellappan, USF	AI Applications for the Surveillance of Mosquito Vectors and Habitats
Dec. 4	Dr. Jayashree Kalpathy-Cramer, Harvard Medical School	Deep learning in medical imaging- opportunities and challenges

Additional Events

Date	Time	Room	Name	Topic

The proceedings of the Spring 2020 class can be found here
The proceedings of the Fall 2019 class can be found here
The proceedings of the Spring 2019 class can be found here
The proceedings of the Fall 2018 class can be found here
The proceedings of the Spring 2018 class can be found here
The proceedings of the Fall 2017 class can be found here
The proceedings of the Spring 2017 class can be found here
The proceedings of the Fall 2016 class can be found here
The proceedings of the Spring 2016 class can be found here
The proceedings of the Fall 2015 class can be found here

Website maintained by : Lawrence Hall
Email lohall@mail.usf.edu

Updated 01/23/2020