MOHAMMAD SAZZADUR RAHMAN

**** ************ ***, ******** *****: 337-***-****

Indiana, 47203 Email: acsccq@r.postjobfree.com

SKILLSET

Skill

Tool

Model Based Design

Matlab/Simulink, MotoHawk

Defect Management

Team Foundation Server

New Product Development

Hardware in Loop Testing

Verification &Validation

Matlab/Simulink, NI VeriStand, NI VeriStand UI Manager, MotoTune

Product Development Process

AGILE

CAD Software

AutoCAD

Programming Language

C, C++, Python, LabVIEW

Calibration

MotoTune, Simulink

CAN communication

Simulink, CANKing

Equipment

Welding, Mills, Lathe, 3D printer, Soldering

Engineering Data Analysis

JMP

Microcontroller

Beaglebone, Arduino, ATMEL

Computer Vision

OpenCV, Matlab, In-Sight Explorer

Technical Writing and Presentation

LaTeX, Keynote, Microsoft Office, iDraw

Language

English, Bengali

EXPERIENCE

Engineering Associate Intern July 2015 to Present

LHP Engineering Solutions, Product Platform Division Columbus, IN

Environments: NI VeriStand 2014, NI VeriStand UI Manager Beta, NI LabVIEW 2014, NI TestStand 2014

Verified data correctness and created test assets for the HIL testing applications

Created and deployed the SDF in NI VeriStand and tested the framework on NI PXIe 8880 system hardware

Created, modified and executed automated tests in NI TestStand

Used NI VeriStand UI Manager to create the GUI for the HIL testing

Physical testing and maintenance of existing software and hardware

Graduate Research Assistant August 2013 to May 2015

University of Louisiana at Lafayette Lafayette, Louisiana

Environments: C++, OpenCV, Matlab, ZBAR, Python

Devised a method for mapping the workspace of industrial bridge cranes using computer vision (Provisional patent at USPTO, application number: 62066642)

Invented a technique of mapping the crane workspace using QR codes

Led a research group of three members

Used OpenCV library with C++ for image processing in order to apply the mapping algorithm

Applied object detection algorithms to detect obstacles

Combined ZBAR with OpenCV in order to read QR codes and use them for mapping

Made a database of objects in a workspace to use it for mapping with QR codes

PROFESSIONAL TRAINING

“Fundamentals of Control Systems – Diesel Engine” SAE Certificate of Mastery Course July 2015

Engineering Process Training

CAN Communications (J1939)

Code Generation Training

Controls Theory and Application

Diesel Engine and Controls Training

(Speed Governing; Controls Model;

System Diagrams, Wiring, and CAN)

Business Etiquette, Leadership,

Stress and Conflict Management,

Communication, and Teamwork

“Designing Leaders”- University of Louisiana at Lafayette (Selected by the Dean of Engineering) April 2015

Leadership Skills Development

Communication Skills Development

Professional Development

Industry Cultures

Social, Cultural, and Legal Systems

Understanding Technology Markets

“Industrial Training”- Chittagong Dry Dock Ltd. June 2010

Learnt Ship Repairing Techniques, Design, Quality Control, Maintenance, Planning, Marketing and Equipment Operations

EDUCATION

Master of Science May 2015

University of Louisiana at Lafayette Mechanical Engineering GPA: 3.28/4.0 Lafayette, LA

Concentration: Controls, Robotics, and Computer Vision

Thesis Title: Machine Vision Techniques for Crane Workspace Mapping

Bachelor of Science February 2011

Bangladesh University of Engineering & Technology Mechanical Engineering GPA: 3.31 Dhaka, Bangladesh

PROJECTS

Development of a feedback PI Electronic Throttle Controller (ETC) June 2015

Developed a feedback PI Electronic Throttle Controller using MATLAB Simulink and MotoHawk blocks.

Calibrated the control system (gain, offset, and limit values) using MotoTune

Tested and validated the controller using Throttle Valve

Learned about the instabilities encountered in feedback PI Controller and eliminated them

Remotely controlled the ETC using CAN communication

Development of a Control System for an Electronic Fuel Injector June 2015

Developed a Control System for an Electronic Fuel Injector using MATLAB Simulink and MotoHawk blocks

Simulation parameters were piston position and crank shaft RPM

Calibrated the Control System using MotoTune

Simulated the Control System for different engine speeds and tested on a Fuel Injector

Development of a Min Gov and Max Gov Model June 2015

Developed a feedback Minimum Governor model that could control the engine RPM at idle using Simulink and MotoHawk blocks

Developed a feedback Maximum Governor model that could limit the engine RPM to a set value

Simulated the model for different load conditions

Controlling an RC Car Using Arduino September 2014

Building an Automated Fish Tank Using Microcontroller May 2008

PUBLICATIONS

Simple Near-Realtime Crane Workspace Mapping Using Machine Vision

ASME Dynamic System and Controls Conference 2014, San Antonio, Texas

Crane Workspace Mapping Using Image Segmentation and QR codes

ASME Dynamic System and Controls Conference 2015, Columbus, Ohio

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