Understanding the Switching Mechanism in Transition Metal Oxide Based ReRAM Devices. - Rashmi Jha; Branden Long (ISVLSI, 2012)

Understanding the impact of slow electro-forming in Resistive Random Access Memories. - Branden Long; Saptarshi Mandal; Rashmi Jha; Alexander Pronin; Peter J. Hulbert (MWSCAS, 2013)

Content-aware encoding for improving energy efficiency in multi-level cell resistive random access memory. - Hadi Hajimiri; Prabhat Mishra 001; Swarup Bhunia; Branden Long; Yibo Li; Rashmi Jha (NANOARCH, 2013)

Understanding the impact of diode parameters on sneak current in 1Diode 1ReRAM crossbar architectures. - Yibo Li; Branden Long; Saptarshi Mandal; Wenbo Chen 002; Rashmi Jha (NANOARCH, 2013)

Doped HfO2 based nanoelectronic memristive devices for self-learning neural circuits and architecture. - Saptarshi Mandal; Branden Long; Ammaarah El-Amin; Rashmi Jha (NANOARCH, 2013)

An integrated active-pixel-sensor and memristive platform for neural-inspired image learning and recognition. - Wenbo Chen 002; Wenchao Lu; Yibo Li; Kaitlyn Alexander; Rashmi Jha (MWSCAS, 2014)

Impact of coupling capacitance on read operation of RRAM devices in 1D1R crossbar architectures. - Yibo Li; Wenbo Chen 002; Wenchao Lu; Rashmi Jha (MWSCAS, 2014)

A hardware-based approach for implementing biological visual cortex-inspired image learning and recognition. - Wenchao Lu; Wenbo Chen 002; Yibo Li; Ahmed Kaake; Rashmi Jha (MWSCAS, 2014)

Switching characteristics of MgO based self-compliant ReRAM devices. - Wenchao Lu; Wenbo Chen 002; Prem Thapaliya; Ryan O' Dell; Rashmi Jha (MWSCAS, 2015)

Multi-Bit Read and Write Methodologies for Diode-STTRAM Crossbar Array. - Mohammad Nasim Imtiaz Khan; Swaroop Ghosh; Radha Krishna Aluru; Rashmi Jha (CoRR, 2016)

Self Current Limiting MgO ReRAM Devices for Low-Power Non-Volatile Memory Applications. - Wenchao Lu; Wenbo Chen 002; Yibo Li; Rashmi Jha (IEEE J. Emerg. Sel. Topics Circuits Syst., 2016)

Novel spiking neural network utilizing short-term and long-term dynamics of 3-terminal resistive crossbar arrays. - Sam Wenke; Andrew Rush; Tony Bailey; Rashmi Jha (MWSCAS, 2017)

Gate-Controlled Memristors and their Applications in Neuromorphic Architectures. - Eric Herrmann; Rashmi Jha (ACM Great Lakes Symposium on VLSI, 2018)

A Segmented Attractor Network for Neuromorphic Associative Learning. - Alexander Jones 001; Rashmi Jha; Ajey P. Jacob; Cory E. Merkel (ICONS, 2019)

Operating Temperature Based Vulnerabilities in ReRAM. - Thomas Schultz 004; Rashmi Jha (MWSCAS, 2019)

Guest Editorial Nature-Inspired Approaches for IoT and Big Data. - Amir H. Gandomi; Mahmoud Daneshmand; Rashmi Jha; Devinder Kaur 001; Huansheng Ning; Calvin Robinson; Herbert Schilling (IEEE Internet Things J., 2019)

Memristive Device Variability Performance Impact on Neuromorphic Machine Learning Hardware. - Andrew Ford; Rashmi Jha (IGSC (Workshops), 2020)

Relating the Empirical Foundations of Attack Generation and Vulnerability Discovery. - Tyler Westland; Nan Niu; Rashmi Jha; David Kapp; Temesguen Kebede (IRI, 2020)

Secured IC Provisioning Using Advanced Memory Devices. - Drew Hanna; Rashmi Jha (MWSCAS, 2020)

Unsupervised Clustering of COVID-19 Chest X-Ray Images with a Self-Organizing Feature Map. - Bayley King; Siddharth Barve; Andrew Ford; Rashmi Jha (MWSCAS, 2020)

Detecting Malware Code as Video With Compressed, Time-Distributed Neural Networks. - Michael L. Santacroce; Daniel J. Koranek; Rashmi Jha (IEEE Access, 2020)

A deep learning approach for lower back-pain risk prediction during manual lifting. - Kristian Snyder; Thomas Brennan; Ming-Lun Lu; Rashmi Jha; Menekse S. Barim; Marie Hayden; Dwight Werren (CoRR, 2020)

A CRISPR-Cas-Inspired Mechanism for Detecting Hardware Trojans in FPGA Devices. - Dillon Staub; Rashmi Jha; David Kapp (CoRR, 2020)

A neuromorphic SLAM architecture using gated-memristive synapses. - Alexander Jones 001; Andrew Rush; Cory E. Merkel; Eric Herrmann; Ajey P. Jacob; Clare Thiem; Rashmi Jha (Neurocomputing, 2020)

Vulnerabilities and Reliability of ReRAM Based PUFs and Memory Logic. - Thomas Schultz 004; Rashmi Jha; Matthew J. Casto; Brian Dupaix (IEEE Trans. Reliab., 2020)

Development of a Short-Term to Long-Term Supervised Spiking Neural Network Processor. - Tony Bailey; Andrew Ford; Siddharth Barve; Jacob Wells; Rashmi Jha (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Semi-Automatic Bug Generation Using Test Case Negation. - Tyler Westland; Nan Niu; Rashmi Jha; David Kapp; Temesguen Kebede (CSR, 2021)

Adversarial Attack Mitigation Approaches Using RRAM-Neuromorphic Architectures. - Siddharth Barve; Sanket Shukla; Sai Manoj Pudukotai Dinakarrao; Rashmi Jha (ACM Great Lakes Symposium on VLSI, 2021)

Educating the Next Generation of Cybersecurity Defenders at the University of Cincinnati. - Carla Purdy; John Marty Emmert; Rashmi Jha; Ranga Vemuri (MWSCAS, 2021)

Fully BEOL-Compatible Switch Boxes Using RRAMs and Thin Film Transistors for Reconfigurable and Secure ICs. - Aaron Ruen; Abhijeet Barua; Rashmi Jha; John Marty Emmert (MWSCAS, 2021)

A Compact Gated-Synapse Model for Neuromorphic Circuits. - Alexander Jones 001; Rashmi Jha (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

NeuroSOFM-Classifier: A Low Power Classifier Using Continuous Real-Time Unsupervised Clustering. - Siddharth Barve; Rashmi Jha (NANOARCH, 2022)

Intrinsically Secure Non-Volatile Memory Using ReRAM Devices. - Junjun Huan; Nicholas Olexa; Brett Hochman; Swarup Bhunia; Rashmi Jha; Soumyajit Mandal (IEEE Access, 2022)

Exploring the associative learning capabilities of the segmented attractor network for lifelong learning. - Alexander Jones 001; Rashmi Jha (Frontiers Artif. Intell., 2022)

A Spiking Neuromorphic Architecture Using Gated-RRAM for Associative Memory. - Alexander Jones 001; Aaron Ruen; Rashmi Jha (ACM J. Emerg. Technol. Comput. Syst., 2022)

Securing 3rd-Party HDL IP: a Feasibility Study Using Evolutionary Methods. - Bayley King; Rashmi Jha; Temesguen Kebede; David Kapp (J. Hardw. Syst. Secur., 2022)

Machine Learning for Detection and Risk Assessment of Lifting Action. - Thomas Brennan; Ming-Lun Lu; Rashmi Jha; Joseph Bertrand (IEEE Trans. Hum. Mach. Syst., 2022)

Neuromorphic Dendritic Synapse Integrating Gated-RRAM. - Siddharth Barve; Rashmi Jha (MWSCAS, 2023)

Studying Accuracy of Machine Learning Models Trained on Lab Lifting Data in Solving Real-World Problems Using Wearable Sensors for Workplace Safety. - Joseph Bertrand; Nick Griffey; Ming-Lun Lu; Rashmi Jha (CoRR, 2023)

Resilient Embedded Systems Designs via on the Fly Generation of Adaptive Degenerate Components Using Machine Learning. - Corey Butts; Rashmi Jha; Temesguen Messay Kebede; David Kapp (IEEE Trans. Computers, 2023)

On-Chip Antennas for IC Reliability and Aging Monitoring. - Andrew Muha; Manoj Yasaswi Vutukuru; Vamshi Kiran Gogi; Rashmi Jha (MWSCAS, 2024)

A Survey of Electromagnetic Radiation Based Hardware Assurance and Reliability Monitoring Methods in Integrated Circuits. - Manoj Yasaswi Vutukuru; John Marty Emmert; Rashmi Jha (IEEE Access, 2024)

ARIA: Additive ReRAM-Based Integrity and Aging Monitoring for ICs. - Thomas Schultz 004; Rashmi Jha; Brian Dupaix; Matthew J. Casto (IEEE Access, 2025)