Muhammad imran
NUST
· 2024
Email
muhammad.imran1@seecs.edu.pk
Phone
—
LinkedIn
—
GitHub
—
Academic
Program
BE Electrical Engineering
CGPA
3.45
Year
2024
Education
School of Electrical Engineering and Computer Science (SEECS)
Address
—
DOB
—
Career
Current role
—
Target role
—
Skills
Computer Architecture, Embedded Systems, Machine Learning, Verilog HDL, Simulink, MATLAB
Interests / quote
Motivated to learn, has excellent leadership skills and multitasking strengths.
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
Name: Muhammad imran Company: Phone: Email: muhammad.imran1@seecs.edu.pk Professional Profile Motivated to learn, has excellent leadership skills and multitasking strengths. Interests include Computer Architecture, Embedded Systems and Machine Learning. Education BE Electrical Engineering School of Electrical Engineering and Computer Science , 3.45 BE Electrical Engineering School of Electrical Engineering and Computer Science (SEECS) , 3.45/4.00 (2024) Cambridge Advanced Level (Pre-Engineering) Lyceum International School , 83.09% (2019) Internship Experience System On Chip Lab - NUST ( 01-Mar-2023 - 08-Oct-2023 ) CodSoft - India ( 20-Aug-2023 - 20-Sep-2023 ) Research Assistant - Remote ( 01-Sep-2022 - 31-Dec-2022 ) Radar Lab - RIMMS, NUST ( 05-Jul-2021 - 31-Aug-2021 ) ESDAC Lab - NUST ( 28-Jun-2022 - 31-Aug-2022 ) Projects Building a 4-bit Microprocessor using Verilog HDL Microprocessors are widely used in many applications, including in computers, supercomputers, smart home devices and smart phones. We built a 4-bit Microprocessor that is mainly divided into three parts: Arithmetic Logic Unit (ALU), Data Registers and Control Logic using Verilog HDL. Dynamic Modelling of an Electric Vehicle in Simulink The goal of electric vehicle modeling is to develop accurate and comprehensive models of the vehicle and its components that are used to optimize the design and control of the electric vehicle and improve their performance, efficiency, and range. Speech Classifier using Machine Learning based Classification learner in MATLAB Audio Classification is performed using Machine Learning that involves identifying various audio signals into different classes or categories. The goal of audio classification is to enable machines to automatically recognize and distinguish between different types of audios, including music, speech, and envir Dual Axis 180 Degree Rotation Solar Tracker We combined concepts of electrical, mechanical and software engineering to implement this project. The solar tracker checks the direction where it detects more sunlight and shifts towards that direction. This is a viable solution for minimizing cost of solar panels and increases their working efficiency.
AI enrichment
Muhammad Imran is a 2024 Electrical Engineering graduate with a 3.45 CGPA from SEECS, specializing in embedded systems, computer architecture, and machine learning. He has practical experience through internships at NUST labs and CodSoft, alongside academic projects involving Verilog HDL, Simulink, and MATLAB.
Skills (AI)
["Verilog HDL", "Embedded Systems", "Machine Learning", "MATLAB", "Simulink", "Computer Architecture", "Microprocessor Design", "Speech Classification", "Solar Tracker Systems"]
Status: ai_done