Search Results for author: Roman Genov

Found 9 papers, 2 papers with code

On-CMOS High-Throughput Multi-Modal Amperometric DNA Analysis with Distributed Thermal Regulation

no code implementations30 Jul 2022 Hamed M. Jafari, Xilin Liu, Roman Genov

Over 95% of the circuit blocks are synergistically shared among the four operating modes, including CPA, CV, IS, and the proposed temperature regulation mode.

Toward A Formalized Approach for Spike Sorting Algorithms and Hardware Evaluation

1 code implementation13 May 2022 Tim Zhang, Corey Lammie, Mostafa Rahimi Azghadi, Amirali Amirsoleimani, Majid Ahmadi, Roman Genov

Spike sorting algorithms are used to separate extracellular recordings of neuronal populations into single-unit spike activities.

Spike Sorting

PRUNIX: Non-Ideality Aware Convolutional Neural Network Pruning for Memristive Accelerators

no code implementations3 Feb 2022 Ali Alshaarawy, Amirali Amirsoleimani, Roman Genov

In this work, PRUNIX, a framework for training and pruning convolutional neural networks is proposed for deployment on memristor crossbar based accelerators.

Network Pruning Quantization

HYPERLOCK: In-Memory Hyperdimensional Encryption in Memristor Crossbar Array

no code implementations27 Jan 2022 Jack Cai, Amirali Amirsoleimani, Roman Genov

We present a novel cryptography architecture based on memristor crossbar array, binary hypervectors, and neural network.

Design Space Exploration of Dense and Sparse Mapping Schemes for RRAM Architectures

no code implementations18 Jan 2022 Corey Lammie, Jason K. Eshraghian, Chenqi Li, Amirali Amirsoleimani, Roman Genov, Wei D. Lu, Mostafa Rahimi Azghadi

The impact of device and circuit-level effects in mixed-signal Resistive Random Access Memory (RRAM) accelerators typically manifest as performance degradation of Deep Learning (DL) algorithms, but the degree of impact varies based on algorithmic features.


A Hierarchical Graph Signal Processing Approach to Inference from Spatiotemporal Signals

no code implementations25 Oct 2020 Nafiseh Ghoroghchian, Stark C. Draper, Roman Genov

Such a model maps signals onto vertices of a graph and the time-space dependencies among signals are modeled by the edge weights.

EEG Object Tracking +1

Coded Two-Bucket Cameras for Computer Vision

no code implementations ECCV 2018 Mian Wei, Navid Sarhangnejad, Zhengfan Xia, Nikita Gusev, Nikola Katic, Roman Genov, Kiriakos N. Kutulakos

We introduce coded two-bucket (C2B) imaging, a new operating principle for computational sensors with applications in active 3D shape estimation and coded-exposure imaging.

Cannot find the paper you are looking for? You can Submit a new open access paper.