March 22, 2024
Our paper titled “BioDiffusion - A Versatile Diffusion Model for Biomedical Signal Synthesis” has been accepted for publication at the MDPI Bioengineering Journal.
March 11, 2024
Our paper titled “Enhancing Time-Series Prediction with Temporal Context Modeling - A Bayesian and Deep Learning Synergy” has been accepted for publication at FLAIRS-37.
October 10, 2023
Alex Katrompas defends his Ph.D. dissertation. Congratulations!
Title: Recurrence and Temporal Attention Synergy for Optimal Time-Series Modeling And Interpretability
June 30, 2023
Our paper titled “Temporal Attention Signatures for Interpretable Time-Series Prediction” has been accepted for publication at ICANN 2023.
June 8, 2023
Xiaomin Li defends her Ph.D. dissertation. Congratulations!
Title: Mitigating Data Shortage in Biomedical Signal Analysis – An Investigation into Transfer Learning and Generative Models
May 29, 2023
Our paper titled “Conditional Diffusion with Label Smoothing for Data Synthesis from Examples with Noisy Labels” has been accepted for publication at EUSIPCO 2023.
April 5, 2023
Lee Hinkle defends his Ph.D. dissertation. Congratulations!
Title: Deep Neural Network Representations of Physiological Time-Series Sensor Data for Improved Recognition Performance
April 5, 2023
Gentry Atkinson defends his Ph.D. dissertation. Congratulations!
Title: Mitigating the Effects of Label Noise in Time-Series Sensor Data
March 16, 2022
Our paper titled “TTS-GAN - A Transformer-based Time-Series Generative Adversarial Network” has been accepted for publication at AIME 2022.
March 3, 2022
Our paper titled “Individual Convolution of Ankle, Hip, and Wrist Data for Activities-of-Daily-Living Classification” has been accepted for publication at IE 2022.
September 27, 2021
Dr. Metsis and the Department of Computer Science (CS) at Texas State University has received a major award from the U.S. Department of Education’s GAANN program to support Ph.D. students in Computer Science.
For more details click here. 
