Curriculum Vitae

Work Experience

Desjardins, Canada

• Senior Data Scientist (Research and Development)
  • Affiliation: Research and Innovation Team, Center of Excellence in Advanced Analytics and Artificial Intelligence.
  • Duration: October 2021 - to date

Polytechnique Montreal, Canada

• Postdoctoral Fellow
  • Affiliation: SWAT Lab, Computer Engineering and Software Engineering
  • Supervisor: Prof. Foutse Khomh
  • Duration: November 2017 - September 2021

SAP Labs Montreal, Canada

• Machine Learning Research Intern
  Working on collaborative research projects partnered by Polytechnique Montreal and SAP Labs Montreal.
  • Research Project 3:
    • Duration: July 2020 - June 2021
    • R&D Focus: We are developing a framework for automated feature engineering for machine learning application development.
  • Research Project 2:
    • Duration: May 2019 - April 2020
    • R&D Focus: We developed ML-based time-series forecasting models for automated availability forecasting and management of parking space occupancy.
  • Research Project 1: Automatic Detection and Correction of Transaction Errors Using Machine Learning
    • Duration: November 2017 - October 2018
    • R&D Focus: We developed machine learning based solution for automatic detection and correction of errors in retail transactions.

TAS Inc, Canada

• Machine Learning Research Intern
  Worked on a collaborative research project partnered by Polytechnique Montreal and TAS Inc.
  • Research Project:
    • Duration: November 2018 - April 2019
    • R&D Focus: We developed a prototype for automated resume analysis. We analyzed requirements and feasibility of ML-based automated ranking of candidates for recruitment process in Human Reseurce Management.

University of Saskatchewan, Canada

• Graduate Research and Teaching Assistant
  • Affiliation: Department of Computer Science
  • Duration: September 2010 - April 2017

Khulna University, Bangladesh

• Assistant Professor
  • Affiliation: Computer Science and Engineering Discipline
  • Duration: January 2006 - August 2010
• Lecturer
  • Affiliation: Computer Science and Engineering Discipline
  • Duration: December 2003 - December 2005

Education

Doctor of Philosophy (PhD), Computer Science

• University of Saskatchewan, Canada (2018)
  • Concentration: Software Engineering
  • Dissertation: Change Impact Analysis of Code Clones
  • Advisor: Prof. Chanchal K. Roy

Master of Science (MSc), Computer Science and Engineering

• Islamic University, Bangladesh (2004)
  • Concentration: Pattern Recognition
  • Thesis: Small Vocabulary Continuous Speech Recognition in Bangla Language
  • Supervisor: Prof. Md Farukuzzaman Khan
  • Position: First in First Class
  • Award: Chanchellor’s Gold Medal

Bachelor of Science (Honors), Computer Science and Engineering

• Islamic University, Bangladesh (2002)
  • Concentration: Pattern Recognition
  • Thesis: Recognition of Bengali Numerals Using Artificial Neural Network
  • Supervisor: Prof. Md Babul Islam
  • Position: First in First Class
  • Award: University Grants Commission (UCG) Award

Higher Secondary and Secondary School Certificate

• HSC: Machpara College (86%), Dhaka Education Board (1995), Bangladesh
• SCC: Shomoshpur High School (83.1%), Jessore Education Board (1993), Bangladesh
• Award: Education Board Merit Scholarships

Publications

Multi-object Tracking in Video Sequences Based on Background Subtraction and SIFT Feature Matching

A New Approach of Extendable Multicast Routing Protocol in Mobile Ad Hoc Networks

An Empirical Study of the Impacts of Clones in Software Maintenance

Comparative Stability of Cloned and Non-cloned Code: An Empirical Study

On the Relationships Between Domain-based Coupling and Code Clones: An Exploratory Study

A Change-Type Based Empirical Study on the Stability of Cloned Code

On the Relationships between Stability and Bug-Proneness of Code Clones: An Empirical Study

Is Cloned Code Really Stable?

Investigating Design Anti-pattern and Design Pattern Mutations and Their Change- and Fault-proneness

Are Multi-language Design Smells Fault-prone? An Empirical Study

Challenges in Machine Learning Application Development: An Industrial Experience Report

Clones in Deep Learning Code: What, Where, and Why?

Multi-language Design Smells: A Backstage Perspective

Machine Learning Application Development: Practitioners' Insights

Ontological Approach in Smart Service Systems: A Literature Review

Design Smells in Multi-language Systems and Bug-proneness: A Survival Analysis