publications

2024

1. Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models

   Jean Park, Kuk Jin Jang, Basam Alasaly, and 5 more authors

   arXiv preprint arXiv:2408.12763, 2024

   arXiv
2. DC4L: Distribution shift recovery via data-driven control for deep learning models

   Vivian Lin, Kuk Jin Jang, Souradeep Dutta, and 3 more authors

   In 6th Annual Learning for Dynamics & Control Conference, 2024
3. Development of Oculomics Artificial Intelligence for Cardiovascular Risk Factors: A Case Study in Fundus Oculomics for HbA1c Assessment and Clinically Relevant Considerations for Clinicians

   Joshua Ong, Kuk Jin Jang, Seung Ju Baek, and 8 more authors

   Asia-Pacific Journal of Ophthalmology, 2024
4. Credal Bayesian Deep Learning

   Michele Caprio, Souradeep Dutta, Kuk Jin Jang, and 4 more authors

   arXiv e-prints, 2024

   PDF
5. Fundus Image-based Visual Acuity Assessment with PAC-Guarantees

   Sooyong Jang, Kuk Jin Jang, Hyonyoung Choi, and 4 more authors

   2024

   arXiv

2023

1. Imprecise Bayesian Neural Networks

   Michele Caprio, Souradeep Dutta, Kuk Jin Jang, and 4 more authors

   arXiv preprint arXiv:2302.09656, 2023
2. Take Me Home: Reversing Distribution Shifts using Reinforcement Learning

   Vivian Lin, Kuk Jang, Souradeep Dutta, and 3 more authors

   arXiv preprint arXiv:2302.10341, 2023
3. Distributionally robust statistical verification with imprecise neural networks

   Souradeep Dutta, Michele Caprio, Vivian Lin, and 5 more authors

   arXiv preprint arXiv:2308.14815, 2023
4. Memory Classifiers for Robust ECG Classification against Physiological Noise

   Kuk Jin Jang, Souradeep Dutta, Jean Park, and 2 more authors

   In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023
5. Incremental Learning with Memory Regressors for Motion Prediction in Autonomous Racing

   Yahan Yang, Souradeep Dutta, Kuk Jin Jang, and 2 more authors

   In Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023), 2023

2021

1. Learning-‘N-Flying: A Learning-Based, Decentralized Mission-Aware UAS Collision Avoidance Scheme

   Alëna Rodionova, Yash Vardhan Pant, Connor Kurtz, and 3 more authors

   ACM Trans. Cyber-Phys. Syst., Sep 2021

   Abs DOI

   Urban Air Mobility, the scenario where hundreds of manned and Unmanned Aircraft Systems (UASs) carry out a wide variety of missions (e.g., moving humans and goods within the city), is gaining acceptance as a transportation solution of the future. One of the key requirements for this to happen is safely managing the air traffic in these urban airspaces. Due to the expected density of the airspace, this requires fast autonomous solutions that can be deployed online. We propose Learning-‘N-Flying (LNF), a multi-UAS Collision Avoidance (CA) framework. It is decentralized, works on the fly, and allows autonomous Unmanned Aircraft System (UAS)s managed by different operators to safely carry out complex missions, represented using Signal Temporal Logic, in a shared airspace. We initially formulate the problem of predictive collision avoidance for two UASs as a mixed-integer linear program, and show that it is intractable to solve online. Instead, we first develop Learning-to-Fly (L2F) by combining (1) learning-based decision-making and (2) decentralized convex optimization-based control. LNF extends L2F to cases where there are more than two UASs on a collision path. Through extensive simulations, we show that our method can run online (computation time in the order of milliseconds) and under certain assumptions has failure rates of less than 1% in the worst case, improving to near 0% in more relaxed operations. We show the applicability of our scheme to a wide variety of settings through multiple case studies.

2020

1. Methods, systems, and computer readable media involving a content coupled physical activity surface

   Rahul Mangharam, Orkan Telhan, Kuk Jin Jang, and 1 more author

   May 2020

   US Patent 10,642,360
2. Learning-to-Fly RL: Reinforcement Learning-based Collision Avoidance for Scalable Urban Air Mobility

   Kuk Jang, Yash Vardhan Pant, Alëna Rodionova, and 1 more author

   In 2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), May 2020
3. Towards Automated Comprehension and Alignment of Cardiac Models at the System Invariant Level

   Samuel Huang, Madeline Diep, Kuk Jang, and 6 more authors

   In CSBio’20: Proceedings of the Eleventh International Conference on Computational Systems-Biology and Bioinformatics, May 2020
4. Learning-to-fly: Learning-based collision avoidance for scalable urban air mobility

   Alëna Rodionova, Yash Vardhan Pant, Kuk Jang, and 2 more authors

   In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), May 2020

2019

1. Electroanatomic Mapping to determine Scar Regions in patients with Atrial Fibrillation

   Jiyue He, Kuk Jin Jang, Katie Walsh, and 3 more authors

   In 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), May 2019
2. Robustness evaluation of computer-aided clinical trials for medical devices

   Kuk Jin Jang, Yash Vardhan Pant, Bo Zhang, and 2 more authors

   In Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems, May 2019

2018

1. Computer Aided Clinical Trials for Implantable Cardiac Devices

   Kuk Jang, James Weimer, Houssam Abbas, and 4 more authors

   In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), May 2018
2. Computer Aided Clinical Trials for Implantable Cardiac Devices

   Kuk Jin Jang, James Weimer, Houssam Abbas, and 4 more authors

   May 2018

2017

1. Nonlinear hybrid automata model of excitable cardiac tissue

   Houssam Abbas, Kuk Jin Jang, and Rahul Mangharam

   EPiC Series in Computing, May 2017

2016

1. The challenges of high-confidence medical device software

   Zhihao Jiang, Houssam Abbas, Kuk Jin Jang, and 1 more author

   Computer, May 2016
2. Three challenges in cyber-physical systems

   Rahul Mangharam, Houssam Abbas, Madhur Behl, and 3 more authors

   In 2016 8th International Conference on Communication Systems and Networks (COMSNETS), May 2016
3. High-level modeling for computer-aided clinical trials of medical devices

   Houssam Abbas, Zhihao Jiang, Kuk Jin Jang, and 3 more authors

   In 2016 IEEE International High Level Design Validation and Test Workshop (HLDVT), May 2016
4. Towards high confidence medical device software

   Zhihao Jiang, Houssam Abbas, Kuk Jin Jang, and 1 more author

   IEEE Computer, May 2016
5. Benchmark: Nonlinear Hybrid Automata Model of Excitable Cardiac Tissue

   Houssam Abbas, Kuk Jin Jang, and Rahul Mangharam

   May 2016
6. Computer Aided Clinical Trials for Implantable Cardiac Devices

   Houssam Abbas, Zhihao Jiang, Kuk Jin Jang, and 4 more authors

   May 2016
7. In-silico pre-clinical trials for implantable cardioverter defibrillators

   Zhihao Jiang, Houssam Abbas, Kuk Jin Jang, and 4 more authors

   In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), May 2016
8. Towards model checking of implantable cardioverter defibrillators

   Houssam Abbas, Kuk Jin Jiang, Zhihao Jiang, and 1 more author

   In Proceedings of the 19th International Conference on Hybrid Systems: Computation and Control, May 2016

2015

1. Model Checking Implantable Cardioverter Defibrillators

   Houssam Abbas, Kuk Jin Jang, Zhihao Jiang, and 1 more author

   arXiv preprint arXiv:1512.08083, May 2015
2. Cloud Mat: Context-aware personalization of fitness content

   Kuk Jin Jang, Jungmin Ryoo, Orkan Telhan, and 1 more author

   In 2015 IEEE International Conference on Services Computing, May 2015

2013

1. A robust wearable health monitoring system based on WSN

   Young Hwan Kim, Kuk-Jin Jang, Seung-chul Lee, and 2 more authors

   In 2013 IEEE 10th Consumer Communications and Networking Conference (CCNC), May 2013
2. A wearable healthcare system for cardiac signal monitoring using conductive textile electrodes

   Chae Young Lim, Kuk Jin Jang, Hyun-woo Kim, and 1 more author

   In 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), May 2013

2012

1. Enabling system-level platform resilience through embedded data-driven inference capabilities in electronic devices

   Naveen Verma, Kyong Ho Lee, Kuk Jin Jang, and 1 more author

   In 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2012

2011

1. Scalable customization of atrial fibrillation detection in cardiac monitoring devices: Increasing detection accuracy through personalized monitoring in large patient populations

   Kuk Jin Jang, Guha Balakrishnan, Zeeshan Syed, and 1 more author

   In 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, May 2011
2. A data-driven modeling approach to stochastic computation for low-energy biomedical devices

   Kyong Ho Lee, Kuk Jin Jang, Ali Shoeb, and 1 more author

   In 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, May 2011