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ORCIDRashmi Jha
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2020 – today
- 2024
[j14]Manoj Yasaswi Vutukuru
, John Marty Emmert, Rashmi Jha:
A Survey of Electromagnetic Radiation Based Hardware Assurance and Reliability Monitoring Methods in Integrated Circuits. IEEE Access 12: 150623-150638 (2024)- [c24]Andrew Muha, Manoj Yasaswi Vutukuru, Vamshi Kiran Gogi, Rashmi Jha:
On-Chip Antennas for IC Reliability and Aging Monitoring. MWSCAS 2024: 1276-1280 - 2023
- [j13]Corey Butts, Rashmi Jha, Temesguen Messay Kebede, David Kapp:
Resilient Embedded Systems Designs via on the Fly Generation of Adaptive Degenerate Components Using Machine Learning. IEEE Trans. Computers 72(5): 1236-1246 (2023) - [c23]Siddharth Barve, Rashmi Jha:
Neuromorphic Dendritic Synapse Integrating Gated-RRAM. MWSCAS 2023: 15-19 - [i5]Joseph Bertrand, Nick Griffey, Ming-Lun Lu, Rashmi Jha:
Studying Accuracy of Machine Learning Models Trained on Lab Lifting Data in Solving Real-World Problems Using Wearable Sensors for Workplace Safety. CoRR abs/2309.05831 (2023) - 2022
- [j12]Junjun Huan, Nicholas Olexa, Brett Hochman, Swarup Bhunia, Rashmi Jha, Soumyajit Mandal:
Intrinsically Secure Non-Volatile Memory Using ReRAM Devices. IEEE Access 10: 104577-104588 (2022) - [j11]Alexander Jones, Rashmi Jha:
Exploring the associative learning capabilities of the segmented attractor network for lifelong learning. Frontiers Artif. Intell. 5 (2022) - [j10]Alexander Jones, Aaron Ruen, Rashmi Jha:
A Spiking Neuromorphic Architecture Using Gated-RRAM for Associative Memory. ACM J. Emerg. Technol. Comput. Syst. 18(2): 36:1-36:22 (2022) - [j9]Bayley King, Rashmi Jha, Temesguen Kebede, David Kapp:
Securing 3rd-Party HDL IP: a Feasibility Study Using Evolutionary Methods. J. Hardw. Syst. Secur. 6(1-2): 17-31 (2022) - [j8]Thomas Brennan, Ming-Lun Lu, Rashmi Jha, Joseph Bertrand:
Machine Learning for Detection and Risk Assessment of Lifting Action. IEEE Trans. Hum. Mach. Syst. 52(6): 1196-1204 (2022) - [c22]Siddharth Barve, Rashmi Jha:
NeuroSOFM-Classifier: A Low Power Classifier Using Continuous Real-Time Unsupervised Clustering. NANOARCH 2022: 12:1-12:6 - 2021
- [j7]Alexander Jones, Rashmi Jha:
A Compact Gated-Synapse Model for Neuromorphic Circuits. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(9): 1887-1895 (2021) - [c21]Tyler Westland, Nan Niu, Rashmi Jha, David Kapp, Temesguen Kebede:
Semi-Automatic Bug Generation Using Test Case Negation. CSR 2021: 141-146 - [c20]Siddharth Barve, Sanket Shukla, Sai Manoj Pudukotai Dinakarrao, Rashmi Jha:
Adversarial Attack Mitigation Approaches Using RRAM-Neuromorphic Architectures. ACM Great Lakes Symposium on VLSI 2021: 201-206 - [c19]Aaron Ruen, Abhijeet Barua, Rashmi Jha, John Marty Emmert:
Fully BEOL-Compatible Switch Boxes Using RRAMs and Thin Film Transistors for Reconfigurable and Secure ICs. MWSCAS 2021: 820-825 - [c18]Carla Purdy, John Marty Emmert, Rashmi Jha, Ranga Vemuri:
Educating the Next Generation of Cybersecurity Defenders at the University of Cincinnati. MWSCAS 2021: 836-839 - 2020
- [j6]Michael L. Santacroce, Daniel J. Koranek, Rashmi Jha:
Detecting Malware Code as Video With Compressed, Time-Distributed Neural Networks. IEEE Access 8: 132748-132760 (2020) - [j5]Alexander Jones, Andrew Rush, Cory E. Merkel, Eric Herrmann, Ajey P. Jacob, Clare Thiem, Rashmi Jha:
A neuromorphic SLAM architecture using gated-memristive synapses. Neurocomputing 381: 89-104 (2020) - [j4]Thomas Schultz, Rashmi Jha, Matthew J. Casto, Brian Dupaix:
Vulnerabilities and Reliability of ReRAM Based PUFs and Memory Logic. IEEE Trans. Reliab. 69(2): 690-698 (2020) - [j3]Tony Bailey, Andrew Ford, Siddharth Barve, Jacob Wells, Rashmi Jha:
Development of a Short-Term to Long-Term Supervised Spiking Neural Network Processor. IEEE Trans. Very Large Scale Integr. Syst. 28(11): 2410-2423 (2020) - [c17]Andrew Ford, Rashmi Jha:
Memristive Device Variability Performance Impact on Neuromorphic Machine Learning Hardware. IGSC (Workshops) 2020: 1-7 - [c16]Tyler Westland, Nan Niu, Rashmi Jha, David Kapp, Temesguen Kebede:
Relating the Empirical Foundations of Attack Generation and Vulnerability Discovery. IRI 2020: 37-44 - [c15]Bayley King, Siddharth Barve, Andrew Ford, Rashmi Jha:
Unsupervised Clustering of COVID-19 Chest X-Ray Images with a Self-Organizing Feature Map. MWSCAS 2020: 395-398 - [c14]Drew Hanna, Rashmi Jha:
Secured IC Provisioning Using Advanced Memory Devices. MWSCAS 2020: 834-839 - [i4]Kristian Snyder, Thomas Brennan, Ming-Lun Lu, Rashmi Jha, Menekse S. Barim, Marie Hayden, Dwight Werren:
A deep learning approach for lower back-pain risk prediction during manual lifting. CoRR abs/2003.09521 (2020) - [i3]Dillon Staub, Rashmi Jha, David Kapp:
A CRISPR-Cas-Inspired Mechanism for Detecting Hardware Trojans in FPGA Devices. CoRR abs/2005.07332 (2020) - [i2]Alexander Jones, Rashmi Jha:
A Compact Gated-Synapse Model for Neuromorphic Circuits. CoRR abs/2006.16302 (2020)
2010 – 2019
- 2019
- [j2]Amir H. Gandomi, Mahmoud Daneshmand, Rashmi Jha, Devinder Kaur, Huansheng Ning, Calvin Robinson, Herbert Schilling:
Guest Editorial Nature-Inspired Approaches for IoT and Big Data. IEEE Internet Things J. 6(6): 9213-9216 (2019) - [c13]Alexander Jones, Rashmi Jha, Ajey P. Jacob, Cory E. Merkel:
A Segmented Attractor Network for Neuromorphic Associative Learning. ICONS 2019: 19:1-19:8 - [c12]Thomas Schultz, Rashmi Jha:
Operating Temperature Based Vulnerabilities in ReRAM. MWSCAS 2019: 464-467 - 2018
- [c11]Eric Herrmann, Rashmi Jha:
Gate-Controlled Memristors and their Applications in Neuromorphic Architectures. ACM Great Lakes Symposium on VLSI 2018: 385-390 - 2017
- [c10]Sam Wenke, Andrew Rush, Tony Bailey, Rashmi Jha:
Novel spiking neural network utilizing short-term and long-term dynamics of 3-terminal resistive crossbar arrays. MWSCAS 2017: 432-435 - 2016
- [j1]Wenchao Lu, Wenbo Chen, Yibo Li, Rashmi Jha:
Self Current Limiting MgO ReRAM Devices for Low-Power Non-Volatile Memory Applications. IEEE J. Emerg. Sel. Topics Circuits Syst. 6(2): 163-170 (2016) - [i1]Mohammad Nasim Imtiaz Khan, Swaroop Ghosh, Radha Krishna Aluru, Rashmi Jha:
Multi-Bit Read and Write Methodologies for Diode-STTRAM Crossbar Array. CoRR abs/1606.00470 (2016) - 2015
- [c9]Wenchao Lu, Wenbo Chen, Prem Thapaliya, Ryan O' Dell, Rashmi Jha:
Switching characteristics of MgO based self-compliant ReRAM devices. MWSCAS 2015: 1-4 - 2014
- [c8]Wenbo Chen, Wenchao Lu, Yibo Li, Kaitlyn Alexander, Rashmi Jha:
An integrated active-pixel-sensor and memristive platform for neural-inspired image learning and recognition. MWSCAS 2014: 741-744 - [c7]Yibo Li, Wenbo Chen, Wenchao Lu, Rashmi Jha:
Impact of coupling capacitance on read operation of RRAM devices in 1D1R crossbar architectures. MWSCAS 2014: 989-992 - [c6]Wenchao Lu, Wenbo Chen, Yibo Li, Ahmed Kaake, Rashmi Jha:
A hardware-based approach for implementing biological visual cortex-inspired image learning and recognition. MWSCAS 2014: 1001-1004 - 2013
- [c5]Branden Long, Saptarshi Mandal, Rashmi Jha, Alexander Pronin, Peter J. Hulbert:
Understanding the impact of slow electro-forming in Resistive Random Access Memories. MWSCAS 2013: 85-88 - [c4]Saptarshi Mandal, Branden Long, Ammaarah El-Amin, Rashmi Jha:
Doped HfO2 based nanoelectronic memristive devices for self-learning neural circuits and architecture. NANOARCH 2013: 13-18 - [c3]Yibo Li, Branden Long, Saptarshi Mandal, Wenbo Chen, Rashmi Jha:
Understanding the impact of diode parameters on sneak current in 1Diode 1ReRAM crossbar architectures. NANOARCH 2013: 64-69 - [c2]Hadi Hajimiri, Prabhat Mishra, Swarup Bhunia, Branden Long, Yibo Li, Rashmi Jha:
Content-aware encoding for improving energy efficiency in multi-level cell resistive random access memory. NANOARCH 2013: 76-81 - 2012
- [c1]Rashmi Jha, Branden Long:
Understanding the Switching Mechanism in Transition Metal Oxide Based ReRAM Devices. ISVLSI 2012: 73-77
Coauthor Index
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last updated on 2024-11-07 21:37 CET by the dblp team
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