2023

Camponogara, I., Farnè, A., & Volcic, R. (2023). Tool-sensed object information effectively supports vision for multisensory grasping. bioRxiv, 2023-01.

Chaikalis, D., Evangeliou, N., Tzes, A., & Khorrami, F. (2023). Modular Multi-Copter Structure Control for Cooperative Aerial Cargo Transportation. Journal of Intelligent & Robotic Systems, 108(2), 31.

Cuniberto, E., Huang, Z., Ward, M. D., & Shahrjerdi, D. (2023). Unraveling the complex electrochemistry of serotonin using engineered graphitic sensors. Analyst, 148(1), 105-113.

Goswami, R. G., Amith, P. V., Hari, J., Dhaygude, A., Krishnamurthy, P., Rizzo, J., Tzes, A., & Khorrami, F. (2023, February). Efficient Real-Time Localization in Prior Indoor Maps Using Semantic SLAM. In 2023 9th International Conference on Automation, Robotics and Applications (ICARA) (pp. 299-303). IEEE.

Krishnamurthy, P., & Khorrami, F. (2023). A Matrix Pencil Formulation for Non-Conservative Realization of Scaling-Based Controllers for Feedforward-Like Systems. IEEE Transactions on Automatic Control, 1–14.

Krishnamurthy, P., & Khorrami, F. (2023). Prescribed‐time regulation of nonlinear uncertain systems with unknown input gain and appended dynamics. International Journal of Robust and Nonlinear Control, 33(5), 3004-3026.

Mehrdad, S., Shamout, F. E., Wang, Y., & Atashzar, S. F. (2023). Deep learning for deterioration prediction of COVID-19 patients based on time-series of three vital signs. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-37013-3

Mezdour, L., Kadem, K., Merouani, M., Haichour, A. S., Amarasinghe, S., & Baghdadi, R. (2023, February). A Deep Learning Model for Loop Interchange. In Proceedings of the 32nd ACM SIGPLAN International Conference on Compiler Construction (pp. 50-60).

Paik, P., Thudi, S., & Atashzar, S. F. (2022). Power-Based Velocity-Domain Variable Structure Passivity Signature Control for Physical Human-(Tele) Robot Interaction. IEEE Transactions on Robotics, 39(1), 386-398.

Papanicolaou, A., Fu, H., Krishnamurthy, P., & Khorrami, F. (2023). A Deep Neural Network Algorithm for Linear-Quadratic Portfolio Optimization With MGARCH and Small Transaction Costs. IEEE Access, 11, 16774-16792.

Putra, R. V. W., Hanif, M. A., & Shafique, M. (2023). RescueSNN: enabling reliable executions on spiking neural network accelerators under permanent faults. Frontiers in Neuroscience, 17. https://doi.org/10.3389/fnins.2023.1159440

Unlu, H. U., Chaikalis, D., Tsoukalas, A., & Tzes, A. (2023). UAV Indoor Exploration for Fire-Target Detection and Extinguishing. Journal of Intelligent & Robotic Systems, 108(3), 54.

Borkar, N., Krishnamurthy, P., Tzes, A., & Khorrami, F. (2023, February). Autonomous Navigation of Quadrotors Using Tactile Feedback. In 2023 9th International Conference on Automation, Robotics and Applications (ICARA) (pp. 70-74). IEEE.

Chaikalis, D., Evangeliou, N., Tzes, A., & Khorrami, F. (2023, June). Decentralized Leader-Follower Visual Cooperative Package Transportation using Unmanned Aerial Manipulators. In 2023 European Control Conference (ECC) (pp. 1-5). IEEE.

Dai, B., Huang, H., Krishnamurthy, P., & Khorrami, F. (2023, May). Data-Efficient Control Barrier Function Refinement. In 2023 American Control Conference (ACC). (to appear).

Evangeliou, N., Chaikalis, D., Giakoumidis, N., & Tzes, A. (2023, February). Mechatronic Design of an Amphibious Drone. In 2023 9th International Conference on Automation, Robotics and Applications (ICARA) (pp. 230-233). IEEE.

Goswami, R. G., Krishnamurthy, P., & Khorrami, F. (2023, May). Data-Driven Deep Learning Based Feedback Linearization of Systems with Unknown Dynamics. In 2023 American Control Conference (ACC). (to appear)

İftar, A., & Khorrami, F. (2023, June). Extension Principle and Controller Design for Nonlinear Systems. In 2023 European Control Conference (ECC) (pp. 1-6). IEEE.

Krishnamurthy, P., Khorrami, F., & Tzes, A. (2023, June). Robust Prescribed-Time Practical Tracking and Disturbance Attenuation for Flexible-Joint Manipulators with Input Unmodeled Dynamics. In 2023 European Control Conference (ECC) (pp. 1-6). IEEE.

Libby, J., Somwanshi, A. A., Stancati, F., Tyagi, G., Patel, A., Bhatt, N., Rizzo, J., & Atashzar, S. F. (2023, April). What Happens When Pneu-Net Soft Robotic Actuators Get Fatigued?. In 2023 International Symposium on Medical Robotics (ISMR) (pp. 1-6). IEEE.

Putra, R. V. W., & Shafique, M. (2023, February). Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks. In 2023 9th International Conference on Automation, Robotics and Applications (ICARA) (pp. 197-201). IEEE.

Unlu, H. U., Chaikalis, D., Tsoukalas, A., & Tzes, A. (2023, February). UAV-Navigation Using Map Slicing and Safe Path Computation. In 2023 9th International Conference on Automation, Robotics and Applications (ICARA) (pp. 208-212). IEEE.

Wei, S., Krishnamurthy, P., & Khorrami, F. (2023, May). Neural Lyapunov Control for Nonlinear Systems with Unstructured Uncertainties. In 2023 American Control Conference (ACC). (to appear)

Xing, D., Shen, J., Ho, C., & Tzes, A. (2023, June). ROIFormer: Semantic-Aware Region of Interest Transformer for Efficient Self-Supervised Monocular Depth Estimation. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 37, No. 3, pp. 2983-2991).

Xing, D., & Tzes, A. (2023, June). Synthetic Aerial Dataset for UAV Detection via Text-to-Image Diffusion Models. In 2023 IEEE Conference on Artificial Intelligence (CAI) (pp. 51-52). IEEE.

Zhou, X., Paik, P., & Atashzar, S. F. (2023, May). Upper-limb Geometric MyoPassivity Map for Physical Human-Robot Interaction. In 2023 IEEE International Conference on Robotics and Automation (ICRA) (pp. 12065-12070). IEEE.

Fu, H., Sarmadi, A., Krishnamurthy, P., Garg, S., & Khorrami, F. (2023). Mitigating Backdoor Attacks on Deep Neural Networks. In Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Use Cases and Emerging Challenges (pp. 395-431). Cham: Springer Nature Switzerland.

Shamout, F. E. (2023). Machine Learning for Decision Support Systems: Prediction of Clinical Deterioration. In Digital Health: From Assumptions to Implementations (pp. 85-99). Cham: Springer International Publishing.

Unlu, H. U., Chaikalis, D., Gonçalves, V., & Tzes, A. (2023). Control Barrier Functions and LiDAR-Inertial Odometry for Safe Drone Navigation in GNSS-Denied Environments. In IntechOpen eBooks. https://doi.org/10.5772/intechopen.1002654