Embedded sensory data memory optimization for IoT edge inference with privacy, accuracy, and energy efficiency. - Jonathon Edstrom; Hritom Das; Yiwen Xu; Na Gong (SEC, 2019)

On Mathematical Models of Optimal Video Memory Design. - Yiwen Xu; Hritom Das; Yifu Gong; Na Gong (IEEE Trans. Circuits Syst. Video Technol., 2020)

Memory Optimization for Energy-Efficient Differentially Private Deep Learning. - Jonathon Edstrom; Hritom Das; Yiwen Xu; Na Gong (IEEE Trans. Very Large Scale Integr. Syst., 2020)

Application-Aware Quality-Energy Optimization: Mathematical Models Enabled Simultaneous Quality and Energy-Sensitive Optimal Memory Design. - Yiwen Xu; Hritom Das; Na Gong (IEEE Trans. Sustain. Comput., 2021)

Flexible Low-Cost Power-Efficient Video Memory With ECC-Adaptation. - Hritom Das; Ali Ahmad Haidous; Scott C. Smith; Na Gong (IEEE Trans. Very Large Scale Integr. Syst., 2021)

Benchmark Comparisons of Spike-based Reconfigurable Neuroprocessor Architectures for Control Applications. - Adam Z. Foshie; Charles Rizzo; Hritom Das; Chaohui Zheng; James S. Plank; Garrett S. Rose (ACM Great Lakes Symposium on VLSI, 2022)

STDP Based Online Learning for a Current-Controlled Memristive Synapse. - Ryan Weiss; Hritom Das; Nishith N. Chakraborty; Garrett S. Rose (MWSCAS, 2022)

Content-Adaptable ROI-Aware Video Storage for Power-Quality Scalable Mobile Streaming. - Ali Ahmad Haidous; William Oswald; Hritom Das; Na Gong (IEEE Access, 2022)

Evaluating Neuron Models through Application-Hardware Co-Design. - Catherine D. Schuman; Hritom Das; James S. Plank; Ahmedullah Aziz; Garrett S. Rose (ACSSC, 2023)

A Mixed-Signal Short-Term Plasticity Implementation for a Current-Controlled Memristive Synapse. - Nishith N. Chakraborty; Hritom Das; Garrett S. Rose (ACM Great Lakes Symposium on VLSI, 2023)

RFAM: RESET-Failure-Aware-Model for HfO2-based Memristor to Enhance the Reliability of Neuromorphic Design. - Hritom Das; Manu Rathore; Rocco Febbo; Maximilian Liehr; Nathaniel C. Cady; Garrett S. Rose (ACM Great Lakes Symposium on VLSI, 2023)

Reliability Analysis of Memristive Reservoir Computing Architecture. - Manu Rathore; Rocco D. Febbo; Adam Z. Foshie; Sree Nirmillo Biswash Tushar; Hritom Das; Garrett S. Rose (ACM Great Lakes Symposium on VLSI, 2023)

Spike-Timing-Dependent Plasticity for a Hafnium-Oxide Memristive Synapse. - Nishith N. Chakraborty; Hritom Das; Garrett S. Rose (MWSCAS, 2023)

Spike-Driven Synaptic Plasticity for a Memristive Neuromorphic Core. - Nishith N. Chakraborty; Hritom Das; Garrett S. Rose (MWSCAS, 2023)

Homeostatic Plasticity in a Leaky Integrate and Fire Neuron Using Tunable Leak. - Nishith N. Chakraborty; Hritom Das; Garrett S. Rose (MWSCAS, 2023)

Energy Efficient and High-Performance Synaptic Operating Point Evaluation for SNN Applications. - Nishith N. Chakraborty; SNB Tushar; Hritom Das; Garrett S. Rose (MWSCAS, 2023)

Approximate Memory for Low-Power Video Applications. - Hritom Das; Ali Ahmad Haidous; Scott C. Smith; Na Gong (IEEE Access, 2023)

Enhanced Read Resolution in Reconfigurable Memristive Synapses for Spiking Neural Networks. - Hritom Das; Nishith N. Chakraborty; Catherine D. Schuman; Garrett S. Rose (CoRR, 2023)

Optimizations for a Current-Controlled Memristor- Based Neuromorphic Synapse Design. - Hritom Das; Rocco D. Febbo; Charles P. Rizzo; Nishith N. Chakraborty; James S. Plank; Garrett S. Rose (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

An Efficient and Accurate Memristive Memory for Array-Based Spiking Neural Networks. - Hritom Das; Rocco D. Febbo; Sree Nirmillo Biswash Tushar; Nishith N. Chakraborty; Maximilian Liehr; Nathaniel C. Cady; Garrett S. Rose (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

HfO2-Based Synaptic Spiking Neural Network Evaluation to Optimize Design and Testing Cost. - SNB Tushar; Hritom Das; Garrett S. Rose (ISCAS, 2024)

A Memristive Reconfigurable Neuromorphic Array for Neuro-Inspired Dynamic Architectures. - Hritom Das; Nishith N. Chakraborty; Manu Rathore; Sk Hasibul Alam; Catherine D. Schuman; Garrett S. Rose (ISVLSI, 2024)

In-Sensor Motion Recognition with Memristive System and Light Sensing Surfaces. - Hritom Das; Imran Fahad; SNB Tushar; Sk Hasibul Alam; Graham Buchanan; Danny Scott; Garrett S. Rose; Sai Swaminathan (ISVLSI, 2024)

Hardware-Application Co-Design to Evaluate the Performance of an STDP-based Reservoir Computer. - Hritom Das; Karan P. Patel; Shelah Ameli; Nishith N. Chakraborty; Catherine D. Schuman; Garrett S. Rose (ISVLSI, 2024)

Evaluation of Neuron Parameters on the Performance of Spiking Neural Networks and Neuromorphic Hardware. - Catherine D. Schuman; Hritom Das; Garrett S. Rose; James S. Plank (ISVLSI, 2024)

Low-power and Computing-free Privacy Design for IoT Systems. - Hui Sun; Kyle Mooney; Mario Renteria-Pinon; Tingxiang Ji; Hritom Das; Na Gong; Jianqing Liu (ISVLSI, 2024)

Hardware software co-design for leveraging STDP in a memristive neuroprocessor. - Nishith N. Chakraborty; Shelah Ameli; Hritom Das; Catherine D. Schuman; Garrett S. Rose (Neuromorph. Comput. Eng., 2024)

Two Birds With One Stone: Differential Privacy by Low-Power SRAM Memory. - Jianqing Liu; Na Gong; Hritom Das (IEEE Trans. Dependable Secur. Comput., 2024)

Privacy by Design via Novel Memory Technologies. - Hritom Das; Mario Renteria-Pinon; Na Gong; Jianqing Liu (COINS, 2025)

An Exploration of a Heterogeneous Neural Configuration of SNNs. - George Evans; Karan P. Patel; Catherine D. Schuman; Garrett S. Rose; Srutarshi Banerjee; Hritom Das (ACM Great Lakes Symposium on VLSI, 2025)

In-Memory Template Matching with Approximated PCC Computation Leveraging Memristive System. - Sree Nirmillo Biswash Tushar; Sk Hasibul Alam; Graham Buchanan; Rocco Febbo; Hritom Das; Garrett S. Rose (ISQED, 2025)

Low-Cost Low-Power Failure-Tunable Memory for Differential Privacy. - Kyle Mooney; Mario Renteria-Pinon; Safa Haq; Hritom Das; Jianqing Liu; Na Gong (IEEE Trans. Circuits Syst. II Express Briefs, 2025)