Table of Contents

Tamnun E Mursalin


Contact Information

Graduate in Jan. 2013

Current Research

Using fluorescence microscopy, parallel image processing and machine learning to examine the effects of kinase inhibitors on live cells.

Tamnun-E-Mursalin
The main goal of the research is to identify a suitable staining procedure and an optimal parallel image processing techniques which will be able to classify different kinase inhibitors from treated cells. The project will require three different phases: i) identifying an appropriate dye that provides sufficient information, ii) identifying optimal parallel image processing tool to extract information iii) distinguishing the Kinase inhibitors. The first part of the project is to identify an appropriate dye that can stain the cell and provide the most physiological and morphological imaging information. The process involves treating cells with different dye, capturing the florescent images of treated cells and analyzing the imaging properties of the stained cells. The second part of the project is to find the best image processing technique to extract physiological relevant information from these images and parallely processing them. The image processing technique should successfully be able to analyzed the physiological behavior, such as, autophagy, apoptosis, er stress, nacarosis and as many other relevant information from the images and perform the operation parallely. In the third phase, the appropriate dye and optimal image process tool will be applied on cells treated with library of kinase inhibitors. The goal is to identify a optimize technique by using machine learning and parallel processing that will be able to classify the kinase inhibitors base on the images achieved from the stained cells.

Awards



Book Chapter

* Tamnun E Mursalin and Shamim Akhter “An Advanced Automated Neural Netwrok based Textile DEfect Detector.” Advanced Knowledge Application in Practice”, Published by SCIYO, ISBN: 978-953-307-141-1. (intech-an_advanced_and_automated_neural_network_based_textile_defect_detector_.pdf)

Publications

* Tamnun E Mursalin, Eshita Zebin, Ahmed Ridwanul Islam “Fabric Defect Inspection System Using Neural Network and Microcontroller.” Journal Of Theoretical and Applied Information Technology (JATIT), Volume 4, no 7. (PDF)



Author Book



Professional Experience



Education


Coop Experience


M.Sc. Project

Title: “SSCS: Smart Spell Checker System Using Adaptive Software Architecture"
Supervisor: Prof. Dr. Mieczyslaw M. Kokar, Software Engineering Department
Northeastern University, Boston, USA

Research Experience

Research Assistant ( 2005-2007 ): “Development of a Decision Support System for Stock Market Investment"
Supervisor: Prof. Dr. Md. Jahangir Alam, MIS Department
Dhaka University, Dhaka, Bangladesh

Professional Certificate Training



Programming Skill:



Safety Training

Basic CoursesAdditional Courses
CourseDateCourseDate
WHMIS (core) Aug 11, 2010 Laser Safety Sept 16, 2010
Fire Safety Aug 6, 2010 Biosafety Sept 8th, 2010
Asbestos Awareness Aug 6, 2010 Eng.Phy Sept 17th, 2010
Ergonomics Aug 6, 2010
Slips/Trips/Falls Aug 24, 2010