MUHAMMAD SULEIMAN QURESHI

MUHAMMAD SULEIMAN QURESHI

MUHAMMAD SULEIMAN QURESHI

Class of 2024
BS Electrical Engineering
Minor: Computer Science

Aspiration Statement

My interests lie in Robotics, Automation, and Control and I am always eager to learn.

Core Skills

  • C
  • C++
  • Communication
  • Leadership
  • MATLAB
  • Problem Solving
  • Python
  • ROS

Academic Awards / Achievements

  • Dean’s List, Spring 2021, 2022 & 2023

Experience

Leadership / Meta-curricular

  • Lead, IEEE Student Chapter (March 2023 - March 2024)
  • Organizer of DURS (2023)
  • Orientational Leader (2021)

Internship / Volunteer Work

  • Software Engineering Intern, Motive (June-September 2023)
  • Teaching Assistant, Signals and Systems (January-April 2023)
  • Research Intern, Summer Tehqiq Research Program, Habib University (June-August 2022)

Publications / Creative Projects

  • Effects of Parasitic Elements in High Frequency GaN-based DC-DC Converters for Electric Vehicle Applications Presented in INMIC 2023:
  • Development of a DC-DC converter-based nano grid platform Presented in Dhanani School of Science and Engineering Undergraduate Research Symposium 2023.:

Final Year Project

Project Title

Autonomous Tow Truck for Industrial Plant

Description

This project aims to improve the efficiency of Indus Motor Company (IMC) operations, by converting their tow trucks, which carry loads from one shop to another, into autonomous mobile robots removing the need for a dedicated driver to operate manually. This involves Intervention in the actuator system to electronically control the wheels; installation of a sensor portfolio to sense the environment; modeling of robot motions and interactions in the presence of differing loads; algorithm development to simultaneously localize the robot and map its environment; and safe navigation to deliver loads from a start to goal location while avoiding collisions. Apart from addressing IMC's needs, this project also provides a promising research problem in the field of autonomous robotics by providing a real-world semi-structured environment that serves as a realistic step forward from a fully structured environment in a typical manufacturing floor, while also avoiding the complexity of fully unstructured environments.