Research Area 05
Autonomous Systems & Applications
UAVsRoboticsIoTAgricultureSmart infrastructureHealthcareHuman-centered systems
Overview
Next-generation wireless networks are poised to become the backbone of an increasingly connected and intelligent world. From autonomous systems and smart infrastructure to digital healthcare, industrial automation, and immersive experiences, xGI advances the technologies that transform breakthrough research into real-world impact. By integrating innovations in AI, communications, and sensing, xGI aims to develop intelligent systems that improve quality of life, strengthen economic competitiveness, and address critical societal challenges.
Affiliated Faculties
Affiliated Faculties
Highlighted Publications
- Md Sanzid Bin Hossain, Zhishan Guo and Hwan Choi. Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning Approach, IEEE Journal of Biomedical and Health Informatics, 27(6): 2829-2840, June 2023.
- Jinghao Sun, Rongxiao Shi, Kexuan Wang, Nan Guan and Zhishan Guo. Efficient Feasibility Analysis for Graph-based Real-Time Task Systems, International Conference on Embedded Software (EMSOFT), September 2020, pp. 3385--3397. (Best Paper Award)
- Jinghao Sun, Tianyi Wang, Yang Li, Nan Guan, Zhishan Guo, Qingxu Deng, Guozhen Tan. SEAM: An Optimal Message Synchronizer in ROS with Well-Bounded Time Disparity, 2023 IEEE Real-Time Systems Symposium (RTSS), Taipei, December 2023. (Best Paper Award)
- Lee, Jaemin, Jeeseop Kim, and Aaron D. Ames. “Hierarchical relaxation of safety-critical controllers: Mitigating contradictory safety conditions with application to quadruped robots.” 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2023.
- Lee, Jaemin, Mingyo Seo, Andrew Bylard, Robert Sun, and Luis Sentis. “Real-Time Model Predictive Control for Industrial Manipulators with Singularity-Tolerant Hierarchical Task Control.” In 2023 IEEE International Conference on Robotics and Automation (ICRA), pp. 12282-12288. IEEE, 2023.
- “Information Fusion: Scaling Subspace Driven Approaches” (with Sally Ghanem), Submitted to IEEE Transactions on Image Processing, 2021.
- Holder, T., Rahman, M., Summers, E., Roberts, D., Wong, C.W. and Bozkurt, A., 2022, December. Contact-free simultaneous sensing of human heart rate and canine breathing rate for animal assisted interactions. In Proceedings of the Ninth International Conference on Animal-Computer Interaction (pp. 1-10). DOI: 10.1145/3565995.3566039.
- “Robust Group Subspace Recovery: A New Approach for Multi-Modality Data Fusion” (with Sally Ghanem, Ashkan Panahi, and Ryan A. Kerekes). Published in IEEE Sensors, 2020.
- “Atlantic Hurricane Activity Prediction: A Machine Learning Approach” (with T. Asthana, X. Sun, S. Roheda, L. Xie), Special Issue “Recent Advances and Future Prospects of Machine Learning in Predictive Modeling of Atmospheric Sciences”, Journal of Atmosphere, Section Atmospheric Techniques, Instruments, and Modeling, 2021.
- Lee, Jaemin, Jeeseop Kim, and Aaron D. Ames. “A data-driven method for safety-critical control: Designing control barrier functions from state constraints.” 2024 American Control Conference (ACC). IEEE, 2024.
- Ahmmed, P., Holder, T., Foster, M., Castro, I.D., Patel, A., Torfs, T. and Bozkurt, A., 2021, October. Noncontact electrophysiology monitoring systems for assessment of canine-human interactions. In 2021 IEEE Sensors (pp. 1-4). DOI: 10.1109/SENSORS47087.2021.9639748.
- Kim, Donghyun, Steven Jens Jorgensen, Jaemin Lee, Junhyeok Ahn, Jianwen Luo, and Luis Sentis. “Dynamic locomotion for passive-ankle biped robots and humanoids using whole-body locomotion control.” The International Journal of Robotics Research 39, no. 8 (2020): 936-956.
- Ashikahmed Bhuiyan, Kecheng Yang, Samsil Arefin, Abusayeed Saifullah, Nan Guan and Zhishan Guo. Mixed-Criticality Multicore Scheduling of Real-Time Gang Task Systems, 2019 IEEE Real-Time Systems Symposium (RTSS), Hong Kong, December 2019, pp. 469--480. (Outstanding Paper Award, Best Student Paper Award)
- “Robust Multi-Modal Sensor Fusion: An Adversarial Approach” (with S. Roheda, H. Krim, and B. S. Riggan), IEEE Sensors Journal 21.2 (2020): 1885-1896.
- Foster, M., Wu, T., Roberts, D.L. and Bozkurt, A., 2022. Preliminary evaluation of a system with on-body and aerial sensors for monitoring working dogs. Sensors, 22(19), p.7631. DOI: 10.3390/s22197631.
- Jinghao Sun, Xisheng Li, Mingyang Gong, Nan Guan, Zhishan Guo, Mingsong Chen, Jun Zhao, Qingxu Deng. Jointly Ensuring Timing Disparity and End-to-End Latency Constraints in Hybrid DAGs. The 31st IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Irvine, US, May 2025. (Outstanding Paper Award)
- Foster, M., Agcayazi, T., Agcayazi, T., Wu, T., Gruen, M., Roberts, D.L. and Bozkurt, A., 2019, November. Preliminary evaluation of dog-drone technological interfaces: Challenges and opportunities. In Proceedings of the Sixth International Conference on Animal-Computer Interaction (pp. 1-5). DOI: 10.1145/3371049.3371065.
- “Event Driven Sensor Fusion” (with S. Roheda, Z.-Q. Luo, T. Wu), Elsevier Signal Processing, Volume 188, November 2021.
- Reynolds, J., Williams, E., Martin, D., Readling, C., Ahmmed, P., Huseth, A. and Bozkurt, A., 2022. A multimodal sensing platform for interdisciplinary research in agrarian environments. Sensors, 22(15), p.5582. DOI: 10.3390/s22155582.
- Lee, Jaemin, Jeeseop Kim, Wyatt Ubellacker, Tamas G. Molnar, and Aaron D. Ames. “Safety-critical control of quadrupedal robots with rolling arms for autonomous inspection of complex environments.” In 2024 IEEE International Conference on Robotics and Automation (ICRA), pp. 3485-3491. IEEE, 2024.