Table of Contents:
- Research Interests
- Education
- Thesis
- Publications
- Current Research
- Research Internships
- Selected Projects
- Patents
- References
Research Interests
- Wearable assistive devices
- Biomedical engineering
- Robotics, Automation, Mechatronics, Communication techniques, Signal processing
Education
International Institute of Information Technology, Bangalore
5-year Bachelors + Masters degree in Electronics and Communication Engineering with a concentration in Embedded system design.
- August 2015 to July 2020.
- M.Tech CGPA: 3.66/4
Thesis
Decimeter level indoor localisation with a single router • Summer, 2020
For my Masters Thesis, I built a WiFi-CSI based indoor positioning system that achieves a resolution of 10 cm using a single off-the-shelf WiFi Router, and a device with a BCM43455c0 chip, like a Raspberry Pi 3B+ or above. Read more [draft post]
Paper: https://avoggu.com/mthesis.pdf
Video: Youtube link
Publications
Decimeter Level Indoor Localisation with a Single WiFi Router using CSI Fingerprinting
Aravind Reddy V, Vikas Vazhiyal, Madhav Rao, et.al
IEEE Wireless Communications and Networking Conference, March 2021.
Design and Development of a Flexible Robotic Operative Microscope for Neurosurgical Applications
Aravind Reddy V, Vikas Vazhiyal, Madhav Rao, et.al
42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020.
Design and Development of a Flexible Robotic Operative Microscope for Neurosurgical Applications
Aravind Reddy V, Vikas Vazhiyal, Madhav Rao, et.al
IEEE International Conference on Mechatronics and Automation(ICMA), 2020.
Mythri 1.0 - Progress of an Indian Surgical Robot
Aravind Reddy V, Vikas Vazhiyal, Madhav Rao, et.al
Indian Journal of Neurosurgery, March 2020.
Current Research
Practical Fingerprinting based Localisation using WiFi CSI and Particle Filtering.
Localisation using Fingerprinting is data and effort intensive. A modified form ofparticle filtering can be used to substantially reduce the number of fingerprints neededfor precise localisation.
Low Power Wireless Sensor Nodes for Precision Agriculture.
Low power, inexpensive, wireless sensor network nodes for deployment in agricultureby the Govt. of Karnataka. I’m designing a Raspberry Pi 0w based embedded device,and protocols to safely and efficiently transfer sensor data for processing.
Research Internships
The University of Alabama • Summer 2019
Design and development of a low-power, Bluetooth-Low-Energy embedded sensor sys-tem to measure energy intake in infants.
Surgical and Assistive Robotics Lab, IIITB • Summer, 2018
Design and development of a WiFi-RSSI based indoor positioning system with a res-olution of 4 metres to find and report positions of Dementia patients at NIMHANS, Bangalore.
Surgical and Assistive Robotics Lab, IIITB • Summer, 2017
Designed and built a surgical snake robot for use in Neuro-surgeries and minimallyinvasive cardiac surgeries with NIMHANS.
Selected Projects
Satellite Reception System • Summer, 2020
This is an ongoing project. I’m building a satellite reception system at my home withan RTL-SDR and a home made antenna. So far, I have successfully decoded signals for NOAA 15, 18, 19, Meteor M-2 weather satellites, and a few cube-sats.
Python to ARM assembly compiler • Winter, 2018
As a course project, my friend and I built a rudimentary compiler to transform a smallsubset of Python syntax to ARM Assembly.
Visible Light Communication System • Summer, 2017
We built a system and designed a protocol to send and receive data by modulatinglight using two 555 timers and no micro-controllers.
Cellular based Remote Irrigation System • Winter, 2016
For my first ever electronics project, we made a low cost ($10) phone controlled systemto control agricultural motors. By exploiting the components already present in built-in motor starters, this costs less than 1/5th the price of alternatives commerciallyavailable in India.
Other Research
Deploying Agile Wireless Networks with Unmanned Aerial Vehicles • IIITB, 2018
An investigation into the use of Drones and other UAVs to deploy agile wireless net-works and provide robust connectivity, and analysis of 3D placement topologies formaximum network efficiency.
Patents
A Flexible Surgical Device • July, 2017
Aravind Reddy, Krishna Nagaraj, Vinay Chandrashekar, Madhav Rao, Vikas V, Laxmi Rao, Subhajit Sen, Debabrata Das, Srikanth T K, Muralidhara V N.
Indian Patent Application no. 201741024666. (Patent pending)
References
Dr. Madhav Rao
Electronics and Communication Engineering department, IIIT Bangalore.
email: mr@iiitb.ac.in
Dr. Vikas Vazhayil
National Institute of Mental Health and Neuro-Sciences, Bangalore.
email: vikas.drv@gmail.com
Teaching Experience
EC201: Basic Electronics, EC202: Electronic Devices and Circuit Theory • Aug 2018 - Dec 2019
I have been the Teaching Assistant for these courses for the past 4 semesters. 96% ofthe student feedback said they would like me to be the TA again for the next semester.
GNUplot guide • Aug, 2018
To help my students plot better graphs, I wrote a tutorial for GNUplot. It’s part of the course website I designed for them.
Writing
An algorithm for efficient decoding of Hamming(7,4) codes • Feb, 2017
A processor-cache-friendly matrix-operation based algorithm to decode Hamming(7,4) Forward Error Correction encoding.
Miscellaneous
Internet Committee • 2017 - 2020
I’ve been leading the Internet Committee at IIITB. We make web-pages, and applications for IIITB, debug network errors, and manage network related tickets from students.
Uikit with VueJS — Vue cli 3 • October, 2018
My guide on using UIKit with VueJS, is published in the Oct 2018 newsletter of vueJS. https://bit.ly/2PDqqZt
A Trip Down Memory Lane
My article on the evolution of memory devices over the years is published in 8BIT, the IIITB University Magazine.
Technical Skills
- Scripting: bash, C, C++, Python, JavaScript, Matlab, Java, NodeJS
- Web-development: NodeJS, Python, VueJS, UIKit, Webpack, HTML, CSS, Javascript, 11ty
- Hardware: Arduino, RaspberryPi, SIM900A Dualband GSM/GPRS toolkit
- Machine Learning: LGBM, Random Forests, AutoViml, Pandas, Numpy
- Fabrication tools: Makerbot 3D printer
- Software suits: GNU/Octave, Matlab, Autodesk 123D, Docker