Filament-free RRAM Nonvolatile Memory Technology
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Filamentary RRAM Nonvolatile Memory Technology
MRAM Nonvolatile Memory Technology
OTP Nonvolatile Memory Technology
Intelligent Near-Sensor Computations Using Emerging Memory Devices
Intelligent Near-Sensor Computations Using Emerging Memory Devices
Exposure Sensing and Readout Control in Hybrid Pixel Designs Using RRAM Devices. Near-sensor first level of efficient raw data processing for further intelligent vision tasks efficiency. On-sensor light intensity's intelligent in-memory encoding and computation for efficient data movement, processing and storage.
Exposure Sensing and Readout Control in Hybrid Pixel Designs Using RRAM Devices. Near-sensor first level of efficient raw data processing for further intelligent vision tasks efficiency. On-sensor light intensity's intelligent in-memory encoding and computation for efficient data movement, processing and storage.
A description of the images you are showcasing for your project, your process, and the artifacts you created along the way
A description of the images you are showcasing for your project, your process, and the artifacts you created along the way
Key Publications
A. Kumar1 et al. (2025). Evaluation of Fluxon Synapse Device Based on Superconducting Loops for Energy Efficient Neuromorphic Computing, Frontiers in Neuroscience. 10.3389/fnins.2025.1511371.
Y. Zhou, A. Kumar2 et al. (2025). Modeling of Conduction Mechanism in Filament-Free Multilayer Bulk RRAM, IEEE Transactions on Electron Devices (IEEE TED). 10.1109/TED.2024.3521953.
A. Kumar1 et al. (2024). Filament-free Bulk RRAM with High Endurance and Long Retention for Neuromorphic Few-Shot Learning On-Chip, IEEE Intl. Elect. Device Meeting (IEDM). 10.1109/IEDM50854.2024.10873390.
J. Park*, A. Kumar1* et al. (2024). Multilevel, Forming and Filament Free, Bulk Switching Trilayer RRAM for Neuromorphic Computing at the Edge,” Nature Communication. 10.1038/s41467-024-46682-1.
A. Kumar1 et al. (2024). RRAM Based Processing-in-Memory for Efficient Intelligent Vision Tasks at the Edge, Memories - Materials, Devices, Circuits and Systems, Elsevier. 10.1016/j.memori.2024.100115.
A. Kumar1 et al., (2022). PUF Implementation Using Competing OTPM Devices in Novel 5T-2OTPM Differential Configuration, IEEE Transactions on Electron Devices (IEEE TED). 10.1109/TED.2021.3126696.
A. Kumar1 et al. (2022). Optimized Programming for STT-MTJ-Based TCAM for Low-Energy Approximate Computing, Appl. Of Emerg. Mem. Technol., Adv. Microelectronics, Springer. 10.1007/978-981-13-8379-3_6.
A. Kumar1 et al. (2019). Verilog-A SPICE Model of PECVD SiO2 OTP Memory Device. IEEE Conf. on Modeling of Systems Circuits and Devices (IEEE MOS-AK). 10.1109/MOS-AK.2019.8902433
A. Kumar1 et al. (2018). OxRAM Resistive Switching for DR Improvement, IEEE International Symposium on Circuits and Systems (IEEE ISCAS). 10.1109/ISCAS.2018.8351348
A. Kumar1 et al. (2018). Switching-Time Dependent PUF Using STT-MRAM, IEEE 31st International Conference on VLSI Design (IEEE VLSID). 10.1109/VLSID.2018.103
A. Kumar1 et al. (2016). An Energy-Efficient Hybrid (CMOS-MTJ) TCAM using Stochastic Writes for Approximate Computing, Non-volatile Memory Technology Symposium (IEEE NVMTS). 10.1109/NVMTS.2016.7781512
A. Kumar1 et al. (2016). Hybrid CMOS-OxRAM Image Sensor for Overexposure Control, IEEE 8th International Memory Workshop (IEEE IMW). 10.1109/IMW.2016.7495276
A. Kumar1 (2013). Assertion Based Functional Verification of March Algorithm Based MBIST Controller Using Coverage Analysis, Computer Science. abs/2106.11461
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