Arise, Awake & Stop Not, till your goal is reached!

An ECE graduate with hardware and software experience, my goal is to utilise my knowledge and build solutions that can directly benefit of the society. I abide by the mantra Arise, Awake & Stop Not, till your goal is reached!

Although I'm pretty interdisciplinary in terms of research, my main interest lies in Embedded Systems and Machine Learning. I'd like to apply these concepts in the healthcare and security domain.

At present, I'm pursuing my PhD in Electrical and Computer Engineering at Purdue University. I'm also a Research Assistant at SPARC Lab.

Apart from that, I like photography, playing badminton and swimming. I also want to travel to Amazon rainforest, get a scuba diving certification and go skydiving!

SKILLS

I have worked in several projects using various software, tools, programming languages and hardware electronics throughout my tenure in college and at work. Here are spme of my technical skills and soft skills.

Technical Skills

Double click on each icon to know more.

Soft Skills

Tools and Software

Proteus

95%

Vivado

70%

Keil

90%

Jupyter

95%

Adobe Photoshop

80%

Apache Airflow

60%

Subject Knowledge

Digital Logic and Design

90%

IoT

70%

Microcontrollers and Embedded Systems

90%

VLSI

70%

Computer Communication

85%

Machine Learning, Deep Learning

70%

Data Structures

70%

Education Details

Vellore Institute of Technology | 2020

Electronics and Communication Engineering

CGPA: 9.24/10

Central Board of Secondary Education (CBSE)

Score: 92%

Jaipuriar School Mumbai | 2016

Indian Certificate of Secondary Education(ICSE)

Score: 96%

Ebenezer International School Bangalore | 2014

Work Experience

I've had wonderful opportunities to learn and work on real time projects as an intern and full time employee. Here's a brief description about my work experience. Please refer to my CV for more details.

August 2021 -Present

Graduate Research Assistannt

SPARCLAB, Purdue University

1. Application of Human Body Communication (manuscript under preparation):

A low power wearable technology powered using body-heat which senses the bioptential signal ECG and transmits the date to the receiver using HBC.

Hardware - PSoc Microcontroller, Mercury DC-DC for energy harvesting, PicoScpe as Receiver
Language - MATLAB and Python (for signal processing on decoder side)

My major contributions include:
Developed code for transmission and decoding of biopotential signal communicated via HBC

Optimised power to allow perpetual operation of the system.

Performed experiments on various subjects with the in-house PCB.

Developed a code for ensuring good quality of recieved

2. Detection and Analysis of Frequency Emanation from Various Sources:

Hardware - Various SDR like HackRF, Ettus USRP210, Spectrum Analyser
Technology - GNU Radio

My major contributions include data collection and analysis of rogue frequency emanations from unintended sources like USB/HDMI Cables/Power Cables/Monitors/SDRs.

August 2020 – August 2021

Developer- Research and Innovation (Analytics and Insights)

TATA CONSULTANCY SERVICES LTD, MUMBAI

1. Analytics in a Box:

An automated prediction system for classification and regression problems on structured data to eases the process of data augmentation, selection of best ML model and updation of model based on changing trends of data.

Technology Stack- GAN, AutoML, Adaptive ML, Front-end UI
Language- Python, HTML/CSS

2. Cogni Extract:

An ML-based solution for extracting information from Unstructured data to automate the manual process

Technology stack- MLOps (Airflow), NLP(Spacy), ML (Sklearn CRF Suite)
Programming Language - Python

3. Automated Reglation Compliance (ongoing)

May 2020 – July 2020

Research Intern

YUAN ZE UNIVERSITY, TAIWAN

Deep Learning Via ECG & PPG Signals to Predict Depth of Anesthesia

Worked under the guidance of Prof Jiann-Shin Shieh to predict the depth of anesthesia using deep learning models via continuous signal data of ECG and PPG acquired by 50 patients during surgery. The accuracy achieved was 82%.

Language: Python and MATLAB

January 2020 – April 2020

Machine Learning Intern (Analytics and Insights department)

Tata Consultancy Services Ltd.

Transportation And Logistic Optimisation Using IOT & ML

Worked in the Analytics and Insights department in a project to predict the lifetime of Li-ion batteries used in Electric Vehicles and suggest the user as to how long the vehicle can travel with the existing battery life on different terrains and also the charging time required for a particular travel destination.

Language: Python

May 2019 – June 2019

Research Intern (SEAL Lab - Department of Computer Engineering)

INDIAN INSTITUTE OF TECHNOLOGY, KHARAGPUR

Generation Of TRNG for Hardware Security

Worked under the guidance of Prof. Rajat Subhra Chakraborty to implement a robust and effective mechanism for designing a True Random Number Generator(TRNG) for hardware security.

Hardware : Artix 7 FPGA
Language: Verilog
Tool : Vivado

May 2018 – July 2018

Summer Intern (Department of Electrical Engineering)

INDIAN INSTITUTE OF TECHNOLOGY, BOMBAY

Real Time Weigh Scale

Worked under the guidance of Prof Virendra Singh as a part of a project to create an IOT based robust weigh scale unsing IIT Bombay produced microcontroller AT89C51A.

Tool : Vivado and the Thingspeak cloud platform.
Language : Embedded C
Tool: Keil

PUBLICATION

Here's a list of my publication so far. You can also check them out here

Chowdhury, M. R., Madanu, R., Abbod, M. F., Fan, S. Z., & Shieh, J. S. (2021). Deep learning via ECG and PPG signals for prediction of depth of anesthesia. Biomedical Signal Processing and Control, 68, 102663. [Paper Link]
Bari, M. F., Chowdhury, M. R., Chatterjee, B., & Sen, S. (2022). Detection of Rogue Devices using Unintended Near and Far-field Emanations with Spectral and Temporal Signatures. In International Microwave Symposium-IMS 2022. [Paper Link]
Bari, M. F., Chowdhury, M. R., & Sen, S. (2022). Long Range Detection of Emanation from HDMI Cables Using CNN and Transfer Learning. In Design, Automation & Test in Europe Conference & Exhibition (DATE) 2023. [Paper Link]

PROJECTS

These are some of my favorite projects in no particular order.

Deep Learning via ECG and PPG signals for prediction of Depth of Anesthesia

A state-of-the-art and accurate method to predict depth of anesthesia by deep neural networks via ECG and PPG signals.The accuracy achieved is 86%. This work is published in the journal Biomedical Signal Processing and Control, Vol. 68, 102663, pp. 1-12 (2021).

Gesture Vocaliser for Deaf & Mute

An inexpensive gloved technology which eases the communication between the disabled by converting the hand action of the wearer into text using Arduino.

Infant Monitoring System

Indication of infant’s temperature, presence in the cot and a check of whether the infant is crying or not; and hence alerts the nurse/doctor during an emergency

Faculty Availability System

IoT based project using NODEMCU and Blynk which enables students to know the availability of faculties in their respective cabin through an app.

Audio Manipulation

This project consisted of an inexpensive method for manipulating audio file- noise removal, echo addition and audio compression. Software used- MATLAB.

Sensor fused robot

A sensor fusion system mounted on a robot interfaced with Arduino Mega. A log of the sensor data was made using RaspberryPi.

Hotel Management System

Implemented in Java using different classes.

EXTRA CURRICULARS

These are a few things I like doing!

My photography

Here are some of the pictures I've clicked. Visit my Instagram Page to view more.

Click on any picture for a larger view.

CONTACT ME

Want to say Hi to me?

I can assist you with coding, GRE and selection of universities for higher education! I am also open to any collaboration on projects in IoT, Hardware Security and ML.

You can email me at royc.meghna@gmail.com or connect with me on social media. The links are given below.

You can even a schedule a talk with me if you wish to!