| 2026 | GECCO | Mini Cellular Automata for Spatio-Temporal Task Identification. | Tej Pandit, Dhireesha Kudithipudi |
| 2022 | ISCAS | SCOLAR: A Spiking Digital Accelerator with Dual Fixed Point for Continual Learning. | Vedant Karia, Fatima Tuz Zohora, Nicholas Soures, Dhireesha Kudithipudi |
| 2021 | CVPR | ALPS: Adaptive Quantization of Deep Neural Networks With GeneraLized PositS. | Hamed Fatemi Langroudi, Vedant Karia, Zachariah Carmichael, Abdullah M. Zyarah, Tej Pandit, John L. Gustafson, Dhireesha Kudithipudi |
| 2021 | ISCAS | MetaplasticNet: Architecture with Probabilistic Metaplastic Synapses for Continual Learning. | Fatima Tuz Zohora, Vedant Karia, Anurag Reddy Daram, Abdullah M. Zyarah, Dhireesha Kudithipudi |
| 2020 | CVPR | Adaptive Posit: Parameter aware numerical format for deep learning inference on the edge. | Hamed Fatemi Langroudi, Vedant Karia, John L. Gustafson, Dhireesha Kudithipudi |
| 2020 | ISCAS | Metaplasticity in Multistate Memristor Synaptic Networks. | Fatima Tuz Zohora, Abdullah M. Zyarah, Nicholas Soures, Dhireesha Kudithipudi |
| 2019 | DATE | Deep Positron: A Deep Neural Network Using the Posit Number System. | Zachariah Carmichael, Hamed Fatemi Langroudi, Char Khazanov, Jeffrey Lillie, John L. Gustafson, Dhireesha Kudithipudi |
| 2019 | IJCNN | Exploiting Randomness in Deep Learning Algorithms. | Hamed Fatemi Langroudi, Cory E. Merkel, Humza Syed, Dhireesha Kudithipudi |
| 2019 | IJCNN | Neuromemristive Multi-Layer Random Projection Network with On-Device Learning. | Abdullah M. Zyarah, Dhireesha Kudithipudi |
| 2018 | ISCAS | On-Device Learning in Memristor Spiking Neural Networks. | Abdullah M. Zyarah, Nicholas Soures, Dhireesha Kudithipudi |
| 2018 | VLSID | Secure Neural Circuits to Mitigate Correlation Power Analysis on SHA-3 Hash Function. | James Thesing, Dhireesha Kudithipudi |
| 2017 | IJCNN | A penalized maximum likelihood approach to the adaptive learning of the spatial pooler permanence. | Ernest Fokou, Lakshmi Ravi, Dhireesha Kudithipudi |
| 2017 | IJCNN | Robustness of a memristor based liquid state machine. | Nicholas Soures, Lydia Hays, Dhireesha Kudithipudi |
| 2017 | IJCNN | Extreme learning machine as a generalizable classification engine. | Abdullah M. Zyarah, Dhireesha Kudithipudi |
| 2017 | ISCAS | Ziksa: On-chip learning accelerator with memristor crossbars for multilevel neural networks. | Abdullah M. Zyarah, Nicholas Soures, Lydia Hays, Robin Jacobs-Gedrim, Sapan Agarwal, Matthew J. Marinella, Dhireesha Kudithipudi |
| 2016 | ISCAS | A design of HTM spatial pooler for face recognition using memristor-CMOS hybrid circuits. | Timur Ibrayev, Alex Pappachen James, Cory E. Merkel, Dhireesha Kudithipudi |
| 2015 | VLSID | Comparison of Off-Chip Training Methods for Neuromemristive Systems. | Cory E. Merkel, Dhireesha Kudithipudi |
| 2013 | IJCNN | Periodic activation functions in memristor-based analog neural networks. | Cory E. Merkel, Dhireesha Kudithipudi, Nick Sereni |
| 2012 | VLSID | Towards Thermal Profiling in CMOS/Memristor Hybrid RRAM Architectures. | Cory E. Merkel, Dhireesha Kudithipudi |
| 2011 | IJCNN | Reconfigurable N-level memristor memory design. | Cory E. Merkel, Nakul Nagpal, Sindhura Mandalapu, Dhireesha Kudithipudi |