Biography

Mirza Mohammad Lutfe Elahi received the B.Sc. degree in Computer Science and Engineering from the University of Dhaka, Bangladesh. He pursued his M.Sc. in Computer Engineering at University of Texas at Arlington, USA. He worked on modeling and simulation of a General Motors (GM) conveyor system using decision making optimizer in Masters Thesis. He also worked in CISCO, Milpitas as a Software Engineer Intern. He joined North South University in 2011. His current research interests are primarily in Machine Learning and Computer Vision.

Interests

  • Machine Learning
  • Computer Vision

Education

  • MSc in Computer Engineering

    University of Texas at Arlington, USA

  • BSc in Computer Science & Engineering

    University of Dhaka, Bangladesh

Experience

 
 
 
 
 

Senior Lecturer

Department of Electrical and Computer Engineering, North South University

Mar 2015 – Present Dhaka, Bangladesh
 
 
 
 
 

Lecturer

Department of Electrical and Computer Engineering, North South University

Jan 2011 – Mar 2015 Dhaka, Bangladesh
 
 
 
 
 

Software Engineer Intern

CISCO

Jun 2010 – Dec 2010 Milpitas, USA

Teaching

.js-id-Summer-2021
Summer 2021 Spring 2021 Fall 2020

CSE 115: Programming Language I

Summer 2021

CSE 373: Design and Analysis of Algorithms

Summer 2021

CSE 373: Design and Analysis of Algorithms

Spring 2021

CSE 115: Programming Language I

Spring 2021

CSE 115: Programming Language I

Fall 2020

CSE 373: Design and Analysis of Algorithms

Fall 2020

CSE 115: Programming Language I

Summer 2020

CSE 373: Design and Analysis of Algorithms

Summer 2020

CSE 115: Programming Language I

Spring 2020

CSE 373: Design and Analysis of Algorithms

Spring 2020

CSE 115: Programming Language I

Fall 2019

CSE 373: Design and Analysis of Algorithms

Fall 2019

CSE 499B: Senior Design II

Fall 2019

CSE 115: Programming Language I

Summer 2019

CSE 445: Machine Learning

Summer 2019

CSE 499A: Senior Design I

Summer 2019

CSE 115: Programming Language I

Spring 2019

CSE 445: Machine Learning

Spring 2019

CSE 499B: Senior Design II

Spring 2019

Publications

Quickly discover relevant content by filtering publications.

Assessing climate-induced agricultural vulnerable coastal communities of Bangladesh using machine learning techniques

The agricultural arena in the coastal regions of South-East Asian countries is experiencing the mounting pressures of the adverse effects of climate change. The study focuses on identifying issues other than climatic factors using the Livelihood Vulnerability Index (LVI) to measure agricultural vulnerability. A practical application of the outcome of the study was the development of a mobile application. The paper provides a methodology for a unique vulnerability assessment technique using a mobile application, which can be used for the planning and management of resources by different stakeholders in a sustainable way.
DOI
Assessing climate-induced agricultural vulnerable coastal communities of Bangladesh using machine learning techniques

IOT Based Submersible ROV for Pisciculture

Pisciculture refers to the controlled commercial breeding and raising fish in tanks or enclosures such as fish ponds. An automated IOT …
DOI
IOT Based Submersible ROV for Pisciculture

Forecasting River Sediment Deposition through Satellite Image Driven Unsupervised Machine Learning Techniques

The hydrologic and riverine systems of the Earth’s surface, subject to ever increasing instability, requires forecasting techniques now more than ever. The study aims to demonstrate that remote sensing and unsupervised machine learning techniques coupled with appropriate validation metric can be employed to quickly forecast regions that are subject to future river sediment deposition.
DOI
Forecasting River Sediment Deposition through Satellite Image Driven Unsupervised Machine Learning Techniques

Fusion Based Approach to Discovering Social Circles in Ego Networks

Communication among people via social network generates enormous amount of data every day. This data can be valuable if they are …
DOI
Fusion Based Approach to Discovering Social Circles in Ego Networks

Optimizing Real-time Vehicle Sequencing of a Paint Shop Conveyor System

A discrete event simulation model and a decision optimizer that were developed for a General Motors paint shop conveyor system are …
DOI
Optimizing Real-time Vehicle Sequencing of a Paint Shop Conveyor System
See all publications

Contact

  • lutfe DOT elahi AT northsouth DOT edu
  • +8802-55668200 Ext 1513 (Office)
  • Plot 15, Block B, Bashundhara, Dhaka - 1229,
  • SAC 922