Efe Ozkaya, Heriberto A. Nieves-Vazquez, Jun Ueda, and Bachir Taouli, Automated Liver Magnetic Resonance Elastography Quality Assessment and Liver Stiffness Measurement using Deep Learning, Abdominal Radiology
Jacob Blevins and Jun Ueda, Encrypted Model Reference Adaptive Control with False Data Injection Attack Resilience via Somewhat Homomorphic Encryption-Based Overflow Trap, IEEE Transactions on Industrial Cyber-Physical Systems, accepted
Hiroaki Kawase (former visiting scholar from UEC, Japan) receives the young researcher award from UJA (United Japanese Researchers Around the World) on his paper, Hiroaki Kawase, Waiman Meinhold, Jun Ueda, Encrypted Classification for Prevention of Adversarial Perturbation and Individual Identification in Health-Monitoring, 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics…
This year, we will be presenting two papers on false data injection attacks on teleoperated robotic systems at ICRA 2025 in Atlanta. Jun Ueda, Jacob Blevins, Affine Transformation-based Perfectly Undetectable False Data Injection Attacks on Remote Manipulator Kinematic Control with Attack Detector, IEEE Robotics and Automation Letters, 8690 – 8697,…
https://grad.gatech.edu/news/15-georgia-tech-phd-students-awarded-fellowship-propel-stem-research?utm_source=newsletter&utm_medium=email&utm_content=Graduate%20Students&utm_campaign=Daily%20Digest%20-%20Oct.%2015%2C%202024 https://atlanta.arcsfoundation.org/ The ARCS Scholar Award recognizes outstanding doctoral students who have a record of past achievement and who show exceptional promise of making a significant contribution to the worldwide advancement of science and technology. Heriberto Nieves is a first-year ARCS Scholar who received the Wahlen Award. Nieves is a…
J. Ueda and J. Blevins, “Affine Transformation-based Perfectly Undetectable False Data Injection Attacks on Remote Manipulator Kinematic Control with Attack Detector,” in IEEE Robotics and Automation Letters, doi: 10.1109/LRA.2024.3451397. This paper demonstrates the viability of perfectly undetectable affine transformation attacks against robotic manipulators where intelligent attackers can inject multiplicative and…
Professor Jun Ueda in the George W. Woodruff School of Mechanical Engineering and robotics Ph.D. student Heriberto Nieves, working with a team from the Icahn School of Medicine at Mount Sinai, have successfully applied deep learning techniques for accurate, automated quality control image assessment. The research, “Deep Learning-Enabled Automated Quality Control for…
https://onlinelibrary.wiley.com/doi/10.1002/jmri.29490 Deep Learning-Enabled Automated Quality Control for Liver MR Elastography: Initial ResultsHeriberto A. Nieves-Vazquez BS, Efe Ozkaya PhD, Waiman Meinhold PhD, Amine Geahchan MD, Octavia Bane PhD, Jun Ueda PhD, Bachir Taouli MD, MHA
Special Issue on the Future of Assistive Robotics: Innovative Approaches and Insights into Enhancing Lives
