Browsing Electronic & Electrical Eng (Scholarly Publications) by Author "Shanker, Shreejith"
Now showing items 1-15 of 15
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Blockchain, what time is it? Trustless Datetime Synchronization for IoT
Shanker, Shreejith; Regnath, Emanuel; Shivaraman, Nitin; Easwaran, Arvind; Steinhorst, Sebastian (2020)Time synchronization among IoT devices is a fundamental requirement for efficient and reliable communication on a global scale. Common synchronization schemes such as NTP operate on a trust-based client-server model, which ... -
Build automation and runtime abstraction for partial reconfiguration on Xilinx Zynq Ultrascale+
Shanker, Shreejith (2020)Partial reconfiguration (PR) is fundamental to building adaptive systems on modern FPGA SoCs, where hardware can be adapted dynamically at runtime. Vendor supported reconfiguration is performance ... -
A case for FPGA-based accelerators for energy-efficient motion picture video processing
Shanker, Shreejith (SPIE, 2023)In recent years, computing-based video processing workflows have become an integral part of the motion picture industry. These workloads are highly data- and compute-intensive, requiring capable hardware to achieve ... -
Custom precision accelerators for energy-efficient image-to-image transformations in motion picture workflows
Shanker, Shreejith (SPIE, 2023)Image to Image (I2I) transformations have been an integral part of video processing workflows with applications in Image Synthesis for Virtual Productions, Segmentation, and Matting, among others. Over the years, ... -
DeCoRIC: Decentralized Connected Resilient IoT Clustering
Shanker, Shreejith (2020)Maintaining peer-to-peer connectivity with low energy overhead is a key requirement for several emerging Internet of Things (IoT) applications. It is also desirable to develop such connectivity solutions for non-static ... -
Exploring Highly Quantised Neural Networks for Intrusion Detection in Automotive CAN
Shanker, Shreejith (2023)Vehicles today comprise intelligent systems like connected autonomous driving and advanced driving assistance systems (ADAS) to enhance the driving experience, which is enabled through increased connectivity to ... -
Exploring Lightweight Federated Learning for Distributed Load Forecasting
Shanker, Shreejith; Zhao, Jin (2023)Federated Learning (FL) is a distributed learning scheme that enables deep learning to be applied to sensitive data streams and applications in a privacy-preserving manner. This paper focuses on the use of FL for analyzing ... -
FPGA-based Deep-Learning Accelerators for Energy Efficient Motor Imagery EEG classification
Shanker, Shreejith (2022)In recent years, Deep Learning has emerged as a powerful framework for analysing and decoding bio-signals like Electroencephalography (EEG) with applications in brain computer interfaces (BCI) and motor control. Deep ... -
Heterogeneous Communication Virtualization for Distributed Embedded Applications
Shanker, Shreejith (IEEE, 2021)Distributed embedded applications (DEAs) are typically implemented on diverse embedded nodes interconnected through communication network(s) to exchange data and control information to achieve the desired ... -
IMEC: A Memory-Efficient Convolution Algorithm For Quantised Neural Network Accelerators
Shanker, Shreejith (IEEE, 2022)Quantised convolution neural networks (QCNNs) on FPGAs have shown tremendous potential for deploying deep learning on resource constrained devices closer to the data source or in embedded applications. An essential building ... -
A Lightweight FPGA-based IDS-ECU Architecture for Automotive CAN
Shanker, Shreejith (IEEE, 2022)Recent years have seen an exponential rise in complex software-driven functionality in vehicles, leading to a rising number of electronic control units (ECUs), network capabilities, and interfaces. These expanded ... -
A Lightweight Multi-Attack CAN Intrusion Detection System on Hybrid FPGAs
Shanker, Shreejith (2022)Rising connectivity in vehicles is enabling new capabilities like connected autonomous driving and advanced driver assistance systems (ADAS) for improving the safety and reliability of next-generation vehicles. This ... -
Real-time zero-day Intrusion Detection System for Automotive Controller Area Network on FPGAs
Shanker, Shreejith (2023)Increasing automation in vehicles enabled by in- creased connectivity to the outside world has exposed vulnerabilities in previously siloed automotive networks like controller area networks (CAN). Attributes of CAN such ... -
VEGa: A high performance vehicular Ethernet gateway on hybrid FPGA
Shanker, Shreejith (2017)Modern vehicles employ a large amount of distributed computation and require the underlying communication scheme to provide high bandwidth and low latency. Existing communication protocols like Controller Area Network (CAN) ...