activity
20162025
most citedScoring and Assessment in Medical VR Training Simulators with Dynamic Time Series Classification

31 citations · 104 across the 26 of their papers we have counts for

collaborators

40 papers

cs.LG2025

Machine Learning Methods for Small Data and Upstream Bioprocessing Applications: A Comprehensive Review

Johnny Peng, Thanh Tung Khuat, Katarzyna Musial +1

Data is crucial for machine learning (ML) applications, yet acquiring large datasets can be costly and time-consuming, especially in complex, resource-intensive fields like biophar…

cs.AI2024

Deep Reinforcement Learning for Digital Twin-Oriented Complex Networked Systems

Jiaqi Wen, Bogdan Gabrys, Katarzyna Musial

The Digital Twin Oriented Complex Networked System (DT-CNS) aims to build and extend a Complex Networked System (CNS) model with progressively increasing dynamics complexity toward…

cs.LG2024

Hyperbox Mixture Regression for Process Performance Prediction in Antibody Production

Ali Nik-Khorasani, Thanh Tung Khuat, Bogdan Gabrys

This paper addresses the challenges of predicting bioprocess performance, particularly in monoclonal antibody (mAb) production, where conventional statistical methods often fall sh…

q-bio.QM2024★ 1 cited

Uncertainty Quantification Using Ensemble Learning and Monte Carlo Sampling for Performance Prediction and Monitoring in Cell Culture Processes

Thanh Tung Khuat, Robert Bassett, Ellen Otte +1

Biopharmaceutical products, particularly monoclonal antibodies (mAbs), have gained prominence in the pharmaceutical market due to their high specificity and efficacy. As these prod…

physics.optics2024

Transfer Learning and the Early Estimation of Single-Photon Source Quality using Machine Learning Methods

David Jacob Kedziora, Anna Musiał, Wojciech Rudno-Rudziński +1

The use of single-photon sources (SPSs) is central to numerous systems and devices proposed amidst a modern surge in quantum technology. However, manufacturing schemes remain imper…

cs.LG2023★ 2 cited

Applications of Machine Learning in Biopharmaceutical Process Development and Manufacturing: Current Trends, Challenges, and Opportunities

Thanh Tung Khuat, Robert Bassett, Ellen Otte +2

While machine learning (ML) has made significant contributions to the biopharmaceutical field, its applications are still in the early stages in terms of providing direct support f…