Ramtin Zand

Orcid: 0000-0002-9477-0094

According to our database1, Ramtin Zand authored at least 46 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing.
CoRR, 2024

2023
Work in Progress: Real-time Transformer Inference on Edge AI Accelerators.
Proceedings of the 29th IEEE Real-Time and Embedded Technology and Applications Symposium, 2023

Application of Machine Learning for Quality Risk Factor Analysis of Electronic Assemblies.
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

A Novel Stochastic LSTM Model Inspired by Quantum Machine Learning.
Proceedings of the 24th International Symposium on Quality Electronic Design, 2023

Realtime Facial Expression Recognition: Neuromorphic Hardware vs. Edge AI Accelerators.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Caveline Detection at the Edge for Autonomous Underwater Cave Exploration and Mapping.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Facial Expression Recognition at the Edge: CPU vs GPU vs VPU vs TPU.
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

Heterogeneous Integration of In-Memory Analog Computing Architectures with Tensor Processing Units.
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

IMAC-Sim: : A Circuit-level Simulator For In-Memory Analog Computing Architectures.
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

2022
Static hand gesture recognition for American sign language using neuromorphic hardware.
Neuromorph. Comput. Eng., December, 2022

APTPU: Approximate Computing Based Tensor Processing Unit.
IEEE Trans. Circuits Syst. I Regul. Pap., 2022

Xbar-Partitioning: A Practical Way for Parasitics and Noise Tolerance in Analog IMC Circuits.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2022

Reliability-Aware Deployment of DNNs on In-Memory Analog Computing Architectures.
CoRR, 2022

A Python Framework for SPICE Circuit Simulation of In-Memory Analog Computing Circuits.
CoRR, 2022

Static Hand Gesture Recognition for American Sign Language using Neuromorphic Hardware.
CoRR, 2022

Interconnect Parasitics and Partitioning in Fully-Analog In-Memory Computing Architectures.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Energy-Efficient Deployment of Machine Learning Workloads on Neuromorphic Hardware.
Proceedings of the 13th IEEE International Green and Sustainable Computing Conference, 2022

MRAM-based Analog Sigmoid Function for In-memory Computing.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

2021
Probabilistic Interpolation Recoder for Energy-Error-Product Efficient DBNs With p-Bit Devices.
IEEE Trans. Emerg. Top. Comput., 2021

An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021

An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks.
Proceedings of the 12th International Green and Sustainable Computing Workshops, 2021

2020
Hardware-Algorithm Co-Design of a Compressed Fuzzy Active Learning Method.
IEEE Trans. Circuits Syst., 2020

A Single-Cycle MLP Classifier Using Analog MRAM-based Neurons and Synapses.
CoRR, 2020

SOT-MRAM based Sigmoidal Neuron for Neuromorphic Architectures.
CoRR, 2020

Electrically-Tunable Stochasticity for Spin-based Neuromorphic Circuits: Self-Adjusting to Variation.
Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

TSV Extrusion Morphology Classification Using Deep Convolutional Neural Networks.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019
MRAM-Enhanced Low Power Reconfigurable Fabric With Multi-Level Variation Tolerance.
IEEE Trans. Circuits Syst. I Regul. Pap., 2019

Composable Probabilistic Inference Networks Using MRAM-based Stochastic Neurons.
ACM J. Emerg. Technol. Comput. Syst., 2019

Self-Organized Sub-bank SHE-MRAM-based LLC: An energy-efficient and variation-immune read and write architecture.
Integr., 2019

AQuRate: MRAM-based Stochastic Oscillator for Adaptive Quantization Rate Sampling of Sparse Signals.
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

Clockless Spin-based Look-Up Tables with Wide Read Margin.
Proceedings of the 2019 on Great Lakes Symposium on VLSI, 2019

HSC-FPGA.
Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

2018
A Parity-Preserving Reversible QCA Gate with Self-Checking Cascadable Resiliency.
IEEE Trans. Emerg. Top. Comput., 2018

Survivability Modeling and Resource Planning for Self-Repairing Reconfigurable Device Fabrics.
IEEE Trans. Cybern., 2018

Synthesis of normally-off boolean circuits: An evolutionary optimization approach utilizing spintronic devices.
Proceedings of the 19th International Symposium on Quality Electronic Design, 2018

SNRA: A Spintronic Neuromorphic Reconfigurable Array for In-Circuit Training and Evaluation of Deep Belief Networks.
Proceedings of the 2018 IEEE International Conference on Rebooting Computing, 2018

Low-Energy Deep Belief Networks Using Intrinsic Sigmoidal Spintronic-based Probabilistic Neurons.
Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018

Logic-Encrypted Synthesis for Energy-Harvesting-Powered Spintronic-Embedded Datapath Design.
Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018

2017
Energy-Efficient and Process-Variation-Resilient Write Circuit Schemes for Spin Hall Effect MRAM Device.
IEEE Trans. Very Large Scale Integr. Syst., 2017

Voltage-Based Concatenatable Full Adder Using Spin Hall Effect Switching.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2017

Heterogeneous energy-sparing reconfigurable logic: spin-based storage and CNFET-based multiplexing.
IET Circuits Devices Syst., 2017

R-DBN: A Resistive Deep Belief Network Architecture Leveraging the Intrinsic Behavior of Probabilistic Devices.
CoRR, 2017

Heterogeneous Technology Configurable Fabrics for Field-Programmable Co-Design of CMOS and Spin-Based Devices.
Proceedings of the IEEE International Conference on Rebooting Computing, 2017

2016
Scalable Adaptive Spintronic Reconfigurable Logic Using Area-Matched MTJ Design.
IEEE Trans. Circuits Syst. II Express Briefs, 2016

2015
Adaptive Mitigation of Radiation-Induced Errors and TDDB in Reconfigurable Logic Fabrics.
Proceedings of the 24th IEEE North Atlantic Test Workshop, 2015

Reactive rejuvenation of CMOS logic paths using self-activating voltage domains.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015


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