Hey! I am

Tasnim Ahmed

I'm a

About

About Me

  • Name: Tasnim Ahmed
  • Date of birth: August 20, 1997
  • Address: Room No. 503, AC - II, IUT, Board Bazar, Gazipur, Bangladesh
  • Zip code: 1704
  • Email: tasnimahmed@iut-dhaka.edu
  • Phone: +88 01713 934471

Education

2016 - 2019

Bachelor of Science in Computer Science and Engineering

Islamic University of Technology

Board Bazar, Gazipur, Bangladesh.

2013 - 2015

Higher Secondary Certificate

Rajshahi College

Rajshahi, Bangladesh.

. . . - 2013

Secondary School Certificate

Rajshahi Collegiate School

Rajshahi, Bangladesh.

Work Experiences

January, 2020 - Present

Lecturer, Department of Computer Science and Engineering

Islamic University of Technology

Board Bazar, Gazipur, Bangladesh.

November, 2018 - January, 2019

Software Engineer Intern

Samsung Research and Development Institute, Bangladesh (SRBD)

Dhaka, Bangladesh.

Skills

React

80%
Web Frontend Development

React Native

85%
iOS and Android App Development

Laravel

90%
Web Backend Development

Tensorflow, Keras

75%
Deep Learning

C

85%

C++

90%

Java

80%

JavaScript

85%

Python

90%

Arduino and Raspberry Pi

75%

Publications

A Complete Bangla Optical Character Recognition System: An Effective Approach

2019 International Conference on Computer and Information Technology - ICCIT

Dhaka, Bangladesh.

Tasnim Ahmed, Md. Nishat Raihan, Rafsanjany Kushol, Md Sirajus Salekin

View Paper
A Novel Approach to Classify Electrocardiogram Signals Using Deep Neural Networks

2020 International Conference on Computer and Information Sciences - ICCIS

Aljouf, Kingdom of Saudi Arabia.

Tasnim Ahmed, Ariq Rahman, Tareque Mohmud Chowdhury, Rafsanjany Kushol, Md. Nishat Raihan

Accepted, To be published.

Teaching

Teaching

Projects

Projects

Website for Panpacific Properties Ltd.

2020

Developed using Laravel Web Framework with HTML, CSS, Bootstrap ,JavaScript and MySQL. Visit Website.

IUT 10th ICT FEST Website

2019

An website for organizing registration and payment procedures of IUT 10th ICT FEST. I used Laravel Web Framework with HTML, CSS, Bootstrap ,JavaScript and MySQL. Visit Website.

Depth and Skeleton Based Dynamic Hand Gesture Recognition

2019

DHG-14/28 dataset is used. 14 different gestures are detected with the help of CNN and LSTM. Each sample in the dataset contains 22 joint points' location as well as depth images. Final accuracy achieved is 74%. Project codes can be obtained from this Github link.

Contact

Contact Me

Address

Room No. 503, 2nd Academic Building, IUT, Gazipur, Bangladesh

Contact Number

+88 01713 934471