Hi, I am Vysakh
Tech Consultant
Experienced professional working in the field of next generation perception systems for autonomous vehicles.
Contact MeAbout Me
My Introduction
Over the past 6 years I have designed and developed end-to-end artificial intelligence systems for companies in autonomous driving, telecom and IoT. I provide consulting services delivering applications and services related to artificial intelligence, 3D perception data and cloud.
experience
Publications
Services
What I offer3D Measurement Data Solutions
Perception System Engineering
Azure Cloud Solutions
Papers
Most recent Research Papers
Unified Framework for Vision Inference on the Edge
This work proposes a unified platform to generate deep learning models compatible on edge devices from Intel, NVIDIA and XaLogic.
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Democratizing Active Safety Systems for Cyclists
This work tries to propose a simple, efficient, and easy-to-make active safety system for cyclists that will act as a third eye.
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Deep rectified system for high-speed tracking in images
Deep Rectified System for High-speed Tracking in Images (DRSHTI) is a unified open-source web portal developed for object detection in images.
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ScaleNet
Scalable and Hybrid Framework for Cyber Threat Situational Awareness Based on DNS, URL, and Email Data Analysis : This work takes the advantage of deep learning architectures to classify and correlate malicious activities that are perceived from the various sources such as DNS, Email, and URLs.
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S.P.O.O.F Net
Syntactic Patterns for identification of Ominous Online Factors: This work aims to demonstrate the possibilities of incorporating NLP concepts to cybersecurity use cases and provide future researches a new thinking curve to develop systems in this domain.
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A.R.E.S
Automatic Rogue Email Spotter: his work aims to show the abilities of word embedding have to solve issues related to cybersecurity use cases.
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Deep Neural Networks as Feature Extractors for Classification of Vehicles in Aerial Imagery
Here, we identify an optimum classification strategy for the proposed detection system, which is the initial stage of designing a vehicle detection pipeline.
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