May 28, 2026
Our paper on a new framework for system-level convergence of IoMT, LLMs, and XAI for healthcare has been accepted to Information Fusion
We are pleased to announce that our paper, 'Toward Trustworthy Digital Healthcare: A System-Level Convergence of IoMT, Large Language Models, and Explainable AI,' has been accepted to Information Fusion — a top-tier journal in computer science with an Impact Factor of 15.5 and a JCR ranking in the top 1-2%. Congratu...
Read more →
May 27, 2026
Our paper on Explainable Ensemble Learning for Anxiety and Stress Detection has been accepted to Applied Soft Computing Journal
We are excited to announce that our paper, 'Explainable Ensemble Learning Framework for Anxiety and Stress Detection in Pediatric Sleep EEG,' has been accepted to Applied Soft Computing Journal (IF=6.6, JCR top 10%). Congratulations to the team on this important publication milestone!
May 16, 2026
Our paper VisionDES has been accepted at ACM SIGKDD (KDD 2026)!
We are thrilled to announce that our paper, 'VisionDES: Robust and Explainable Dynamic Vision Ensemble,' has been accepted at the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2026) — one of the most prestigious and competitive venues in data mining and machine learning (BK=4). Visi...
Read more →
May 11, 2026
Welcome to InfoLab, Yakhyo and Shannon!
We are delighted to welcome two new members to InfoLab! Yakhyokhuja (Yakhyo) Valikhujaev joins as an incoming Ph.D. student, bringing expertise in large language models, multimodal AI, and trustworthy AI systems. Shannon Henry joins as a combined M.S./Ph.D. student, with a background in AI security, deep learning, a...
Read more →
Apr 09, 2026
Our paper on Personalized Vigilance Estimation has been accepted at CogSci 2026.
Our paper, 'KANformer: Personalized Vigilance Estimation with Transformer Features and Kolmogorov–Arnold Sequence Modeling,' has been accepted at CogSci 2026 with a highly competitive 9.3% acceptance rate. Congratulations to the team!
Apr 08, 2026
Our paper on Dynamic Ensembles Multimodal Prediction accepted on ICPR 2026.
Our paper, "MM-DES: Enhancing Multimodal Clinical Prediction with Joint Contrastive Embeddings and Dynamic Ensembles," has been accepted at the 28th International Conference on Pattern Recognition (ICPR 2026). Congratulations to the team!
