Hello, I'm Shuvo Kumar Paul from Dhaka, Bangladesh. I've completed my BSc in CSE from North South University and earned my MS in CS degree from Independent University, Bangladesh. I've worked both as a researcher and as a Soft./Web developer. I'm currently working as a Research Associate at the Computer Vision & Cybernetics group under the supervision of Dr. M. Ashraful Amin. My research interests include, but are not limited to, Computer Vision, Machine Learning, Deep Learning, Brain Computer Interface, Human Computer Interaction, and Natural Language Processing.

Work Experience (4)

Researcher
Computer Vision & Cybernetics, BD
Oct 2017 - Current
http://www.cvcrbd.org/

Research Area: Natural Language Processing, Deep Learning, Human Computer Interaction

  • Currently working on "Bengali speech recognition system" and "key word based image description and information retrieval".

System Engineer (Automation)
Fair & Appropriate Tech. Ltd. (FAT)
August 2016 - May 2017
http://fatbd.com/

While working as a System Engineer at FAT I worked daily to employ my programming skills in the development of a number of technical projects, web solutions and assignments which help the monitoring process of various telecom tasks of Grameen Phone.

  • Developed one-click solutions for various telecom configuration tasks.

  • Built a web task management system.

  • Developed automated solutions for various integration tasks.

Research Assistant and Teaching Assistant
Independent University, Bangladesh
Sept 2014 - Feb 2016
http://www.iub.edu.bd/

Research Area: Computer Vision, Machine Learning, Brain Computer Interface

  • Developed a Data Acquisition tool in python for the MUSE brain sensing headband.

  • Worked on gesture recognition with the help of Microsoft Kinect.

Jr. Web Developer
Gonon Tech.
May 2014 - August 2014
http://gonon.com/

Developed web solutions using Joomla, Laravel, Wordpress.

Education (2)

MS in
Computer Science
Independent University, Bangladesh
September 2014 - December 2016
Grade: 3.75
Thesis: Cognitive task classification from wireless EEG.
  • machine learning
  • signal processing
  • BCI
  • HCI

BSc in
Computer Science & Engineering
North South University
January 2010 - April 2014
Grade: 3.33
Thesis: A target tracking arduino bot.
  • image processing
  • pattern recognition
  • machine learning
  • robotics

Publications

Cognitive Task Classificaiton from Wireless EEG in BIH 2015: Brain Informatics and Health
August 2015

Abstract: Human brain uses a complex electro-chemical signaling pattern that creates our imagination, memory and self-consciousness. It is said that Electroencephalography better known as EEG contains signatures of various tasks that we perform. In this paper we study the possibility of categorizing tasks conducted by humans from EEG recordings. The novelty of this study mainly lies in the use of very cost effective consumer grade wireless EEG devices. Three cognitive tasks were considered: text reading and writing, Math problem solving and watching videos. Twelve subjects were used in this experiment. Initial features were calculated from Discrete Wavelet Transform (DWT) of raw EEG signals. After application of appropriate dimensionality reduction, Support Vector Machine (SVM) was used for classification of tasks. DWT + Kernel PCA with SVM based classifier showed 86.09 % accuracy.

March 2015

Abstract: This work reports the design, construction and control of a two-wheel object tracking robot. The Android controlled Arduino bot is a robot armed with a brain to recognize and track objects persuasively. Object recognition and tracking were achieved through extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object. However, we have also demonstrated tracking through offline data because of the limitations of the processing power of the cellular devices.

Projects

Task Management System

Muse Data Acquisition Tool

Brainiacs

Project Beetle

Marky

Skills

Programming Languages

  • Python
  • C#
  • Javascript/Node
  • C/C++
  • Php

Frameworks/Libraries

  • Laravel
  • Bootstrap
  • electron
  • jQUery
  • vuejs
  • reactjs

Other

  • Git
  • anaconda
  • matlab
  • api
  • nltk

Awards

First Runner up
Microsft Imagine Cup, Bangladesh Regional Finals, 2011
2011

Developed a windows app called "Project Beetle" that had a suite of tools capable of diagnosing, tracking, and predicting crop disease.

Merit Scholarship
North South University
2010

Was awarded a scholarship based on admission test and previous academic achievements.

Merit Scholarship
Independent University, Bangladesh
2014

Was awarded a scholarship based on previous research work and academic achievements.

Languages

English

Fluent

French

Intermediate

Japanese

Beginner

Chinese

Beginner

Extra Curricular Activities

Technical Volunteer
Proyash

Have been organizing charity fund raising and winter clothing drive every year

Participant
Confucius Institute, Bangladesh

Participated in various inter-cultural activities organized by Confucius Institute, NSU.

Performer
Prachyanat

Have been an active theater activist since 2015.

Interests

  • Books
  • Playing musical instruments
  • Travelling
  • Music
  • Painting

References

Dr. M. Ashraful Amin

Chair, Dept. of Computer Science & Engineering, IUB

Dr. Mamun Molla

Assistant Professor, ECE Department, NSU

Mr. Ahmed Selim Anwar

Senior System Engineer, Grameen Phone