2021

Daniilidis, K., Guibas, L., Kavraki, L., Koumoutsakos, P., Kyriakopoulos, K., Lygeros, J., Pappas, G. J., Triantafyllou, M., & Tsiotras, P. (2021). Robotics in the AI era: A vision for a Hellenic Robotics Initiative. Foundations and Trends® in Robotics, 9(3), 201-265.

Ghodsi, Z., Jha, N. K., Reagen, B., & Garg, S. (2021). Circa: Stochastic ReLUs for Private Deep Learning. Advances in Neural Information Processing Systems, 34, 2241-2252.

Gokhale, V., Eid, M., Kroep, K., Prasad, R. V., & Rao, V. S. (2021). Toward Enabling High-Five Over WiFi: A Tactile Internet Paradigm. IEEE Communications Magazine, 59(12), 90-96.

Idrees, M., Maqbool, M. M., Bhatti, M. K., Rahman, M. M. U., Hafiz, R., & Shafique, M. (2021). An approximate-computing empowered green 6G downlink. Physical Communication, 49, 101444.

Krishnamurthy, P., & Khorrami, F. (2021). Resilient redundancy-based control of cyber–physical systems through adaptive randomized switching. Systems & Control Letters, 158, 105066.

Mukherjee, H., Salam, H., & Santosh, K. C. (2021). Lung Health Analysis: Adventitious Respiratory Sound Classification Using Filterbank Energies. International Journal of Pattern Recognition and Artificial Intelligence, 35(14). https://doi.org/10.1142/s0218001421570081

Muzammel, M., Salam, H., & Othmani, A. (2021). End-to-end multimodal clinical depression recognition using deep neural networks: A comparative analysis. Computer Methods and Programs in Biomedicine, 211, 106433.

Schillinger, P., García, S., Makris, A., Roditakis, K., Logothetis, M., Alevizos, K., Ren, W., Tajvar, P., Pelliccione, P., Argyros, A. A., Kyriakopoulos, K. J., & Dimarogonas, D. V. (2021). Adaptive heterogeneous multi-robot collaboration from formal task specifications. Robotics and Autonomous Systems, 145, 103866. https://doi.org/10.1016/j.robot.2021.103866

Shafique, M., Theocharides, T., Reddy, V. J., & Murmann, B. (2021, December). TinyML: Current Progress, Research Challenges, and Future Roadmap. In 2021 58th ACM/IEEE Design Automation Conference (DAC) (pp. 1303-1306). IEEE.

Tsilomitrou, O., & Tzes, A. (2021). Mobile Data-Mule Optimal Path Planning for Wireless Sensor Networks. Applied Sciences, 12(1), 247.

Huang, H., Li, X., Wang, L., & Fang, Y. (2021, December). 3D-MetaConNet: Meta-learning for 3D Shape Classification and Segmentation. In 2021 International Conference on 3D Vision (3DV) (pp. 982-991). IEEE.

Krishnamurthy, P., & Khorrami, F. (2021, December). Practical Prescribed-Time Stabilization and Tracking for Uncertain Nonlinear Systems with Disturbance Inputs. In 2021 60th IEEE Conference on Decision and Control (CDC) (pp. 4588-4593). IEEE.

Limaye, N., Chowdhury, A. B., Pilato, C., Nabeel, M. T., Sinanoglu, O., Garg, S., & Karri, R. (2021, December). Fortifying RTL Locking Against Oracle-Less (Untrusted Foundry) and Oracle-Guided Attacks. In 2021 58th ACM/IEEE Design Automation Conference (DAC) (pp. 91-96). IEEE.

Putra, R. V. W., Hanif, M. A., & Shafique, M. (2021, December). SparkXD: A Framework for Resilient and Energy-Efficient Spiking Neural Network Inference using Approximate DRAM. In 2021 58th ACM/IEEE Design Automation Conference (DAC) (pp. 379-384). IEEE.

Putra, R. V. W., & Shafique, M. (2021, December). SpikeDyn: A Framework for Energy-Efficient Spiking Neural Networks with Continual and Unsupervised Learning Capabilities in Dynamic Environments. In 2021 58th ACM/IEEE Design Automation Conference (DAC) (pp. 1057-1062). IEEE.

Tan, B., Garg, S., Karri, R., Liu, Y., Zuzak, M., Chakraborty, A., Srivastava, A., Aramoon, O., Xu, Q., Gang, Q., Porter, A., Szep, J., & Savage, W. (2021, December). Independent Verification and Validation of Security-Aware EDA Tools and IP. In 2021 58th ACM/IEEE Design Automation Conference (DAC) (pp. 1299-1302). IEEE.

Thirupathi, A. N., Alhanai, T., & Ghassemi, M. M. (2021, November). A machine learning approach to detect early signs of startup success. In Proceedings of the Second ACM International Conference on AI in Finance (pp. 1-8).

Veldanda, A. K., Liu, K., Tan, B., Krishnamurthy, P., Khorrami, F., Karri, R., Dolan-Gavitt, B., & Garg, S. (2021, November). NNoculation: Catching BadNets in the Wild. In Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security (pp. 49-60).