2022

Aloqaily, M., Bouachir, O., Ridhawi, I. A., & Tzes, A. (2022). An adaptive UAV positioning model for sustainable smart transportation. Sustainable Cities and Society, 78, 103617. https://doi.org/10.1016/j.scs.2021.103617

Alsowaina, K. N., Atashzar, S. F., Pur, D. R., Eagleson, R., Patel, R. V., Elnahas, A. I., Hawel, A. I., Alkhamesi, N. A., & Schlachta, C. M. (2022). Video Context Improves Performance in Identifying Operative Planes on Static Surgical Images. Journal of Surgical Education, 79(2), 492-499.

Castillo, C. S. M., Vaidyanathan, R., & Atashzar, S. F. (2022). Synergistic upper-limb functional muscle connectivity using acoustic mechanomyography. IEEE Transactions on Biomedical Engineering, 69(8), 2569-2580.

Derzsi, Z., & Volcic, R. (2022). Not only perception but also grasping actions can obey Weber’s law. bioRxiv (Cold Spring Harbor Laboratory). https://doi.org/10.1101/2022.06.15.496276

Dritsas, L., Kontouras, E., Vlahakis, E., Kitsios, I., Halikias, G., & Tzes, A. (2022). Modelling issues and aggressive robust load frequency control of interconnected electric power systems. International Journal of Control, 95(3), 753-767.

Evangeliou, N., Chaikalis, D., Tsoukalas, Α., & Tzes, A. (2022). Visual Collaboration Leader-Follower UAV-Formation for Indoor Exploration. Frontiers in Robotics and AI, 8. https://doi.org/10.3389/frobt.2021.777535

Evangeliou, N., Giakoumidis, N., Chaikalis, D., Tsoukalas, A., Unlu, H. U., Xing, D., & Tzes, A. (2022). Mechatronic Design of a Delivery Octarotor Drone. International Journal of Mechanical Engineering and Robotics Research, 11(5), 351-356.

Fu, H., Veldanda, A. K., Krishnamurthy, P., Garg, S., & Khorrami, F. (2022). A feature-based on-line detector to remove adversarial-backdoors by iterative demarcation. IEEE Access, 10, 5545-5558.

Hanif, M. A., & Shafique, M. (2022). A cross-layer approach towards developing efficient embedded Deep Learning systems. Microprocessors and Microsystems, 88, 103609. https://doi.org/10.1016/j.micpro.2020.103609

Konstantinou, C., Wang, X., Krishnamurthy, P., Khorrami, F., Maniatakos, M., & Karri, R. (2022). HPC-based malware detectors actually work: Transition to practice after a decade of research. IEEE Design & Test, 39(4), 23-32.

Korres, G., Park, W., & Eid, M. (2022). A Comparison of Vibrotactile Feedback and Electrical Muscle Stimulation (EMS) for Motor Response During Active Hand Movement. IEEE Transactions on Haptics, 15(1), 74-78.

Li, X., Wang, L., & Fang, Y. (2022). Unsupervised Category-Specific Partial Point Set Registration via joint Shape completion and registration. IEEE Transactions on Visualization and Computer Graphics, 29(7), 3251–3265. https://doi.org/10.1109/tvcg.2022.3157061

Marchisio, A., Mrazek, V., Massa, A., Bussolino, B., Martina, M., & Shafique, M. (2022). RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks. IEEE Access, 10. https://doi.org/10.1109/ACCESS.2022.3214312

Matsuo, Y., LeCun, Y., Sahani, M., Precup, D., Silver, D., Sugiyama, M., ... & Morimoto, J. (2022). Deep learning, reinforcement learning, and world models. Neural Networks, 152, 267-275.

Nikfam, F., Marchisio, A., Martina, M., & Shafique, M. (2022). AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks Through Accuracy Gradient. IEEE Access, 10. https://doi.org/10.1109/ACCESS.2022.3213734

Rousseas, P., Bechlioulis, C. P., & Kyriakopoulos, K. J. (2022). Trajectory Planning in Unknown 2D Workspaces: A Smooth, Reactive, Harmonics-Based Approach. IEEE Robotics and Automation Letters, 7(2), 1992-1999.

Sun, T., Hu, Q., Libby, J., & Atashzar, S. F. (2022). Deep Heterogeneous Dilation of LSTM for Transient-Phase Gesture Prediction Through High-Density Electromyography: Towards Application in Neurorobotics. IEEE Robotics and Automation Letters, 7(2), 2851-2858.

Surabhi, V. R., Krishnamurthy, P., Amrouch, H., Henkel, J., Karri, R., & Khorrami, F. (2022). Trojan detection in embedded systems with FinFET technology. IEEE Transactions on Computers, 71(11), 3061-3071.

Tyacke, E., Reddy, S. P., Feng, N., Edlabadkar, R., Zhou, S., Patel, J., Hu, Q., & Atashzar, S. F. (2022). Hand Gesture Recognition via Transient sEMG Using Transfer Learning of Dilated Efficient CapsNet: Towards Generalization for Neurorobotics. IEEE Robotics and Automation Letters, 7(4), 9216-9223.

Wang, L., Zhou, N., Huang, H., Wang, J., Li, X., & Fang, Y. (2022). GP-Aligner: Unsupervised Groupwise Nonrigid Point Set Registration Based on Optimizable Group Latent Descriptor. IEEE Transactions on Geoscience and Remote Sensing, 60, 1-13.

Xing, D., Evangeliou, N., Tsoukalas, A., & Tzes, A. (2022). A Siamese Network for real-time object tracking on CPU. Software Impacts, 12. https://doi.org/10.1016/j.simpa.2022.100266

Yin, M., Veldanda, A. K., Trivedi, A., Zhang, J., Pfeiffer, K., Hu, Y., Garg, S., Erkip, E., Righetti, L., & Rangan, S. (2022). Millimeter Wave Wireless Assisted Robot Navigation with Link State Classification. IEEE Open Journal of the Communications Society, 3, 493-507.

Zarei, A. A., Jensen, W., Jadidi, A. F., Lontis, E. R., & Atashzar, S. F. (2022). Gamma-band enhancement of functional brain connectivity following transcutaneous electrical nerve stimulation. Journal of neural engineering, 19(2), 026020.

Yuan, Z., Azzino, T., Hao, Y., Lyu, Y., Pei, H., Boldini, A., Mezzavilla, M., Beheshti, M., Porfiri, M., Hudson, T. E., Seiple, W., Fang, Y., Rangan, S., Wang, Y., & Rizzo, J. R. (2022). Network-Aware 5G Edge Computing for Object Detection: Augmenting Wearables to “See” More, Farther and Faster. IEEE Access, 10, 29612-29632.

Alrahis, L., Patnaik, S., Shafique, M., & Sinanoglu, O. (2022, March). MuxLink: Circumventing Learning-Resilient MUX-Locking Using Graph Neural Network-based Link Prediction. In 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 694-699). IEEE.

Alsuradi, H., & Eid, M. (2022 September). An ensemble deep learning approach to evaluate haptic delay from a single trial EEG data. Frontiers in Robotics and AI, 9. https://doi.org/10.3389/frobt.2022.1013043

Alsuradi, H., Park, W., & Eid, M. (2022, October). Assessment of EEG-based functional connectivity in response to haptic delay. Frontiers in Neuroscience, 16. https://doi.org/10.3389/fnins.2022.961101

Camponogara, I., & Volcic, R. (2022, May). Visual uncertainty unveils the distinct role of haptic cues in multisensory grasping. ENeuro, 9(3), ENEURO.0079-22.2022. https://doi.org/10.1523/eneuro.0079-22.2022

Chaikalis, D., Evangeliou, N., Tzes, A., & Khorrami, F. (2022, June). Adaptive control of coupled-multicopter systems. In 2022 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 1375-1380). IEEE.

Chaikalis, D., Evangeliou, N., Tzes, A., & Khorrami, F. (2022, June). Design, Modelling, Localization, and Control for Fire-Fighting Aerial Vehicles. In 2022 30th Mediterranean Conference on Control and Automation (MED) (pp. 432-437). IEEE.

Chithrra Raghuram, V. V., Salam, H., Nasir, J., Bruno, B., & Celiktutan, O. (2022, November). Personalized productive engagement recognition in robot-mediated collaborative learning. In Proceedings of the 2022 International Conference on Multimodal Interaction (pp. 632-641).

Colucci, A., Steininger, A., & Shafique, M. (2022, October). enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 5155-5162). IEEE.

Dai, B., Krishnamurthy, P., & Khorrami, F. (2022, December). Learning a better control barrier function. In 2022 IEEE 61st Conference on Decision and Control (CDC) (pp. 945-950). IEEE.

Hao, Y., Feng, J., Rizzo, J. R., Wang, Y., & Fang, Y. (2022, October). Detect and Approach: Close-Range Navigation Support for People with Blindness and Low Vision. In European Conference on Computer Vision (pp. 607-622). Cham: Springer Nature Switzerland.

Hayat, N., Geras, K. J., & Shamout, F. E. (2022, December). MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images. In Machine Learning for Healthcare Conference (pp. 479-503). PMLR.

Huang, H., Chen, C., & Fang, Y. (2022, October). Manifold adversarial learning for cross-domain 3d shape representation. In European Conference on Computer Vision (pp. 272-289). Cham: Springer Nature Switzerland.

Huang, H., Chen, C., & Fang, Y. (2022, October). Non-Rigid Multiple Point Set Registration Using Latent Gaussian Mixture. In 2022 IEEE International Conference on Image Processing (ICIP) (pp. 3181-3185). IEEE.

Karadimos, A., Tzes, A., Evangeliou, N., & Dermatas, E. (2022, May). Virtual Reality Simulation of a Robotic Laparoscopic Surgical System. In 2022 8th International Conference on Control, Decision and Information Technologies (CoDIT) (Vol. 1, pp. 1573-1579). IEEE.

Khan, M. O., & Fang, Y. (2022, September). Implicit Neural Representations for Medical Imaging Segmentation. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 433-443). Cham: Springer Nature Switzerland.

Kourta, S., Namani, A. A., Benbouzid-Si Tayeb, F., Hazelwood, K., Cummins, C., Leather, H., & Baghdadi, R. (2022, March). Caviar: an e-graph based TRS for automatic code optimization. In Proceedings of the 31st ACM SIGPLAN International Conference on Compiler Construction (pp. 54-64).

Krishnamurthy, P., & Khorrami, F. (2022, November). Efficient non-conservative realization of dynamic scaling-based controllers via matrix pencils for uncertain nonlinear strict-feedback systems. Systems & Control Letters, 169. https://doi.org/10.1016/j.sysconle.2022.105393

Li, Q., Liu, Y. S., Cheng, J. S., Wang, C., Fang, Y., & Han, Z. (2022). HSurf-Net: Normal estimation for 3D point clouds by learning hyper surfaces. Advances in Neural Information Processing Systems, 35, 4218-4230.

Marchisio, A., Caramia, G., Martina, M., & Shafique, M. (2022, July). fakeWeather: Adversarial attacks for deep neural networks emulating weather conditions on the camera lens of autonomous systems. In 2022 International Joint Conference on Neural Networks (IJCNN) (pp. 1-9). IEEE.

Putra, R. V. W., & Shafique, M. (2022, July). lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents. In 2022 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.

Salam, H., Manoranjan, V., Jiang, J., & Celiktutan, O. (2022, March). Learning personalised models for automatic self-reported personality recognition. In Understanding Social Behavior in Dyadic and Small Group Interactions (pp. 53-73). PMLR.

Shamout, F. E., Wang, P., Hayat, N., Ling, V. N., St John, T. L., Ghosheh, G., Orquiola, L., Gadhia, V., & Almallah, Z. (2022, November). 10 Development and evaluation of a machine learning model to predict positive urine cultures in the outpatient setting and minimize the use of antibiotics. Part I: EPapers. https://doi.org/10.1136/bmjhci-2022-fciasc.10

Sun, T., Libby, J., Rizzo, J., & Atashzar, S. F. (2022, October). Deep Augmentation for Electrode Shift Compensation in Transient High-density sEMG: Towards Application in Neurorobotics. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 6148-6153). IEEE.

Tsoukalas, A., Annor, P. S., Kafeza, E., & Tzes, A. (2022, February). IoT Enhancements for an In-house Calm Computing Environment. In 2022 8th International Conference on Automation, Robotics and Applications (ICARA) (pp. 239-242). IEEE.

Viale, A., Marchisio, A., Martina, M., Masera, G., & Shafique, M. (2022, October). LaneSNNs: Spiking Neural Networks for Lane Detection on the Loihi Neuromorphic Processor. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 79-86). IEEE.

Wu, M., Huang, H., & Fang, Y. (2022, August). 3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation. In 2022 26th International Conference on Pattern Recognition (ICPR) (pp. 4001-4007). IEEE.

Xing, D., Tsoukalas, A., Evangeliou, N., Giakoumidis, N., & Tzes, A. (2022, June). Siamese adaptive transformer network for real-time aerial tracking. In 2022 International Conference on Unmanned Aircraft Systems (ICUAS) (pp. 570-575). IEEE.

Xing, D., Unlu, H. U., Evangeliou, N., & Tzes, A. (2022, May). Drone Surveillance Using Detection, Tracking and Classification Techniques. In International Conference on Image Analysis and Processing (pp. 446-457). Cham: Springer International Publishing.

Younis, H., Hassan, M., Younis, S., & Shafique, M. (2022, March). Team of Tiny ANNs: A Way Towards Cost-Efficient Scalable Deep Learning. In 2022 2nd International Conference on Artificial Intelligence (ICAI) (pp. 52-57). IEEE.

Yuan, S., Li, X., Huang, H., & Fang, Y. (2022). Meta-Det3D: Learn to Learn Few-Shot 3D Object Detection. In Proceedings of the Asian Conference on Computer Vision (pp. 1761-1776).

Zhou, J., Ma, B., Liu, Y. S., Fang, Y., & Han, Z. (2022). Learning consistency-aware unsigned distance functions progressively from raw point clouds. Advances in Neural Information Processing Systems, 35, 16481-16494.