@SundarAnand

A YOUNG CHAP, READY TO ROCK THE WORLD

Dreaming and doing big

 

SUNDAR ANAND

About me

Young chap passionate about data science and automation of IT services, always excited to implement digitized end to end solutions based on Machine Learning and Deep Learning concepts by leveraging the industry’s best in class cloud platform and programming languages. I love to constantly up-skill myself with new technologies by upholding my motto of Dreaming and Doing BIG!!


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WHO AM I

 

PROGRAM REPRESENTATIVE, VIT CHENNAI

July 2018 - August 2019

Program representative of Electronics and Computer Engineering department in Vellore Institute of Technology, Chennai

TEACHING ASSISTANT - DATA STRUCTURES

July 2018 - November 2018

Teaching assistant under Prof Karthik. R for Data Structures and Algorithms in Vellore Institute of Technology, Chennai.

INTERNSHIP

2019 - 2020

Research Internship at National University of Singapore (NUS), School of Computing working on Data Analytics for IoT network packets.

Industrial Internship at Ensemble Energy, Palo Alto working on Data Engineering for Renewable Energy Sources.

VOLUNTEER OF THE FLAGSHIP CONFERENCE OF INDIA - COMSNETS

Dec 2018 - Jan  2019

I was selected as one among the 12 students around the globe to volunteer and attend the ComsNets (Communication Networks) conference, the flagship conference of India in the field fo Networks, with full sponsorship from logistics and food to stay.

BEST PROJECT AWARD

April 2019

Our team SmarTrack was awarded for the best project of the year by Vellore Institute of Technology's Founder and Chancellor Dr. G. Viswanathan. The project was in the domain of Embedded Systems, Data Communication Networks, and Machine Learning!!

WINNER - MAKEATHONS AND HACKATHONS

2018 - 2019

  • First place of a Makeathon conducted by Valeo - Building an AI-enabled cooling technology for high-frequency voltage converter (58V to 42V).

  • First place of a hackathon conducted by ACM and Mozilla - An automated smart security system which recognizes the known people and also criminals. Autonomous criminal tracking was also done and suitable alerts were sent to the police.

  • Won Rs 20K at Hackhub - 24 hours hackathon conducted by IEEE Computer Society - Predicting the damage level of the buildings after the Earthquake using CNN with residual blocks. Suitable mobile app and mail alerts to police, ambulance and fire service were done.

RESEARCH WORKS

Jan 2018 - Present

Journal Papers:

1. Applied Soft Computing - The Official Journal of the World Federation on Soft Computing (WFSC) - Elsevier 

Paper Title: Attention Embedded Residual CNN for Disease Detection in Tomato Leaves

Impact Factor: 4.873

2. Progress in Artificial Intelligence - Springer Journal 

Paper Title: Attention Residual Network for Micro-Expression Recognition using Image Analysis

Impact Factor: 3.08

Status: Under Review

Conference research papers:

1. IEEE 6th World Forum on Internet of Things, 2020, Louisiana, USA

Paper Title: Multi-Path Enabled Privacy Breach Mitigation For IP Cameras

Status: Ongoing research

2. IEEE 11th International Conference on Communication System and Networks, 2019, Bangalore, India

Volunteer & Presenter

Paper Title: Real-time GPS tracking using serverless architecture and ARM processor

3. 2019 IEEE 4th International Conference on Computer and Communication Systems, Singapore

Presenter

Paper Title: Low Power Real Time GPS Tracking Enabled With RTOS and Serverless Architecture

4. The 2019 Third IEEE International Conference on Electrical, Computer and Communication Technologies, 2019, Coimbatore, India

Presenter

Paper Title: An Efficient Mask Reduction Strategy to Optimize Storage and Computational Complexity in Routing Table Lookups

5. Elsevier 2019 2nd International Conference on Recent Trends in Advanced Computing

Presenter

Paper Title: Image Based Smart Surveillance System For Homes with Remote Door Lock Switching 

6. Springer 2020 The Second International Conference on Advances in Electrical and Computer Technologies 

Presenter

Paper Title: Facial Expression Image Analysis to Classify High and Low Level Autism Spectrum Disordered Kids using Attention Mechanism Embedded Deep Learning Technique

Status: Accepted and yet to be published

MY INTERNSHIPS

 

MY PROJECTS / PUBLICATIONS

We offer solutions that raise your life above the expected

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EFFICIENT ROUTING TABLE

A reduced subnet mask system

An Efficient Mask Reduction Strategy to
Optimize Storage and Computational
Complexity in Routing Table Lookups (IEEE Research paper)

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NETWORKING SMART SECURITY​

When you can track, why just watch

You can run but can’t escape. Smart intelligence enabled security cameras for both personal and public use. 

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ACMS - ADVANCED CARPOOLING SYSTEM

Place where miles make smiles

Smart Carpooling system, one stop solution for air pollution control and the best chance to make friends.

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AIRBORNE 

Cognitive Interaction

A magic wand to make your own spell in the air. A new form of AI enabled human-computer interaction for seamless and comfortable communication between people and devices.​

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SMARTRACK

GPS Tracking

Low Power vehicle tracking system using ARM and serverless architecture (IEEE Research paper and demo exhibit)

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INFESTATION DETECTOR

Portable doctor for plants

Live pest and Disease Infestation detection in plants, aiding farmers to get the suitable medicine for the same.

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MICRO-EXPRESSION IMAGE ANALYSIS

Emotion recognition using Micro-Expression

  

Attention Residual Network for Micro-Expression Recognition using Image Analysis. A Deep Learning technique to recognize human emotions using their Micro-Expressions.

 

MY SKILLS

What I Do

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CLOUD

I use the cloud environment to develop the real-time working systems. I have experience working on AWS (Amazon Web Services). My work on the cloud points towards a modern architecture with microservices and serverless systems.

MACHINE LEARNING

I have been working in the era of machine learning for quite some time. Predicting or categorizing data with the use of ML enables some of the activities which were considered to be never possible, some of my projects will themselves stand as examples for the same.

DEEP LEARNING

Following the lectures of one of the most insightful person in the field, Mr. Andrew NG, has given me a lot of intuitions about the deep learning and its applications. My current interest leans in the direction of Convolution Neural Networks with TensorFlow framework.

 

TESTIMONIALS

 

Sundar is an ambitious, studious student of his batch of students in Electronics and Computer Engg. He is the program representative of his batch with great leadership skills. He had organized one of the signature events "NFS Aqua" during Technovit 2018 an international tech fest organized by students at VIT Chennai. He actively engages in finding out innovative technical solutions and has also done a research paperwork titled "An efficient mask reduction strategy to optimize storage and computational complexity in routing table lookups" under my guidance which purely was the effort put by these students after having learnt the concept during my class hour and their eureka moment of optimizing and finding out loopholes in existing approach.  He actively volunteers in both internal and external activities. I wish him all the best for his career

Prof. Jayavignesh, Assistant Professor School of Electronics Engineering, Vellore Institute of Technology

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"We offer solutions that raise your life above the expected"

 

LET’S CONNECT

+91 9176127866

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