Zulquranin Abbas

Academic

Verbatim text

Education
Zulquranin Abbas
+92-329-4312497, zulqurnainabbas25@gmail.com
111/1 Street 7, Islamabad.
Bachelor of Science (Electrical Engineering)
Major:
Electronics
Kips College, Multan
F.Sc (Pre-Engineering)
Kips College, Multan
Matric (Science)
Projects
Final Project: loT-based Energy Consumption Monitoring and Electricity Bill Forecasting in a Net-metering System.
Developed a system to monitor energy consumption and forecast electricity bills using loT technology in a net-metering
environment.
Semester Projects:
Analysis of an FM system with SSB-AM based frequency-division multiplexing with MATLAB
Voltage & Current monitoring of EV battery using ESP32
Work Experience
Intern, National Institute of Electronics, Islamabad
Demonstrated proficiency in CMOS technology and its application in integrated circuit (IC)
design.
Executed PCB layout tasks with precision and minimizing electromagnetic interference.
Conducted circuit simulations using industry-standard software.
Marketed the States Bank app to attract more users.
Maintained good relationships with clients by listening to them and solving any issues they
had. Taught clients about finance to help them handle it better.
kills & Tools
July 2023 - Aug 2023
Mar 2022 - May 2022
Professional Skills
earn Work, Team Management, Team Organization and Anger Management.
Technical Skills
C/C++, Assembly Language, Verilog, PLC Programming, AutoCAD I SolidWorks, Multisim I
Proteus, MATLAB Simulink, ATMEL, Lab View, Arduino IDE, Cadence Virtuoso, PCB
Designing & Fabrication.
Trainings I Certification
Intern, National Institute of Electronics, Islamabad. Virtual
ctivities
FAST NUCES ISLAMABAD CAMPUS
FAST SCHOOL OF
ELECTRICAL ENGINEERING
FINAL YEAR PROJECTS
FAST NUCES ISLAMABAD CAMPUS
Underwater Wireless Magnetic Induction Communication System
This project focuses on developing an underwater Magnetic Induction (Ml) communication system
to enable efficient, short-range data transfer between divers and underwater equipment. Unlike
acoustic or radio-based methods, Ml communication leverages low-frequency magnetic fields to
transmit data with minimal attenuation, eliminating the need for a line-of-sight and functioning
effectively in murky water while ensuring marine life safety.
The system comprises a transmitter, receiver, Ml coils, and a microcontroller for encoding and
decoding signals, with an optimized coil design and communication protocol to enhance range,
data rate, and reliability. Using MATLAB, LTspice, Proteus, STM32, and ESP32, this project
demonstrates a scalable and energy-efficient solution for underwater exploration, diver
communication, and marine research applications.
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Technology Used:
STM-32, ESP-32, LTspice, Porteus, logic Probe
and
MATLAB.
Supervisor Name:
Dr. Niaz Ahmed
Group Members:
Hamza Rauf (i20 - 1907)
Hanzala Tahir (i21 - 0904)
Taha Salman (i21 - 0904)
FAST NUCES ISLAMABAD CAMPUS
Dynamic Whistle Blower Traffic Monitoring System
This project aims to design and implement a Dynamic Whistleblower Traffic Monitoring System,
an ML & loT-powered solution to enhance traffic law enforcement and road safety. Speeding is a
major cause of road accidents, yet the absence of real-time, automated monitoring systems leads
to increased violations and fatalities. This project leverages ML, loT, and cloud computing to provide
an efficient and scalable approach to speed detection and enforcement.
The system integrates 2D LIDAR sensors, high-resolution cameras, and machine learning models to
detect speeding vehicles, recognize number plates, and transmit data to a cloud-based dashboard
for automated violation reporting. By ensuring accuracy, efficiency, and real-time enforcement, this
solution aims to reduce road accidents, improve compliance, and lay the foundation for smart, ML
& loT-driven traffic management in the future.
Technology Used:
Internet of Things, Machine Learning,
Cloud Computing, Embedded Systems.
Supervisor Name:
Dr. Muhammad Tariq
Group Members:
Amir Sallach Khan (i21 - 0962)
Muhammad Talha Nadeem (i19 - 0802)
FAST NUCES ISLAMABAD CAMPUS
FPGA Based Flight Controller for Autonomous Quadcopter
This project introduces an FPGA-based flight controller for real-time processing and autonomous
drone navigation. Leveraging the cutting-edge Xilinx Zynq-7000 Soc and the innovative Zynqberry
platform, the system unites the acceleration of programmable logic (PL) with the versatility of an
ARM processor. The Guidance, Navigation, and Control (GNC) architecture employs a
heterogeneous computing approach: core control algorithms run on the ARM processor, while
computationally intensive functions-such as sensor fusion and trajectory optimization-are
offloaded to the FPGA fabric.
Engineered for high-performance UAV applications, this solution delivers low latency, enhanced
autonomy, and energy-efficient computation. It is ideally suited for companies at the forefront of
FPGA-based aerospace, robotics, and embedded GNC system development, setting a new
benchmark for next-generation flight control innovation.
Su p e rvi s or:
D r . Sheh zad S a leem
Team memb era:
Hamza Shaftq
121-092.7
Abdullah w -1m IZl.-o910
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FPGA- BASED FLIGHT CONTROLLER
FOR
AUTONOMOUS OUADCOPTER
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G NC D esign & Ana lys is
GNC AR M co d e
A ccel e r a tor D esi g n
T e le m e try
MATLAB@
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Code
Des ign & Deve lopment Environments
Technology Used:
FPGA, VIVADO, KiCAD, PlatformlO, Visual
Studio Code, MATLAB.
Supervisor Name:
Dr. Shehzad Saleem
Group Members:
Muhammad Hamza Shafiq (i21- 0917)
Muhammad Abdullah Waseem (i21 - 0910)
Muhammad Wasiq Rehan (i21- 0908)
FAST NUCES ISLAMABAD CAMPUS
Realizing Subaquatic World Using Remotely Operated Vehicle
This project focuses on the development of a specialized Remotely
Operated Vehicle (ROV) designed for underwater rescue and exploration,
particularly in dam reservoirs. Given the scarcity of skilled divers and the
high costs of commercial alternatives, our ROV aims to provide a cost-
effective and efficient solution for locating submerged bodies, inspecting
underwater structures, and enhancing traceability in challenging
environments. Equipped with advanced sensors and imaging systems, it
will enable real-time monitoring, precise localization, and rapid decision-
making, ultimately improving the effectiveness and safety of underwater
operations.
Technology Used:
ROV Framework, Live Streaming and Control
System.
Supervisor Name:
Dr. Niaz Ahmed
Group Members:
Muhammad Shehzad (i19 - 0794)
Muhammad Wafa Haider (i19 - 0900)
Moiza Eman (i20 - 1913)
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Energy Consumption Monitoring and Electricity Bill Forecasting in a Net
Metering System
This project aims to design and implement an energy consumption monitoring and electricity bill
forecasting system for net metering setups, which could become a crucial tool for efficient energy
management in the future. The lack of real-time monitoring and forecasting solutions in the
energy sector today leads to inefficient energy use and unexpected electricity costs. Through this
project, we aim to introduce an innovative approach to energy tracking and cost estimation,
helping consumers optimize electricity usage and manage their expenses effectively.
Electricity consumption and cost management are critical concerns worldwide, especially with the
increasing adoption of renewable energy sources. In many regions, improper energy monitoring
leads to higher costs and inefficient utilization of grid power, impacting both consumers and
utility providers.
A net metering system allows consumers to both import electricity from the grid and export
excess energy back to it, reducing overall costs. However, without proper monitoring, users
cannot fully optimize this system. This project focuses on automating energy tracking, analyzing
real-time consumption, and providing accurate electricity bill forecasts. By integrating real-time
monitoring with automated forecasting, we aim to enhance energy efficiency, reduce wastage,
and provide users with greater control over their electricity usage.
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Energy Consumption Monitoring and
Electricity Bill Forecasting in a Net-
Metering System
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Supervisor
Dr Shahzad Saleem
Team Members
Gu i Hameed Khan
211-0903
Zulqurna1n Abbas
201 2380
Technology Used:
Arduino ide, Proteus, MATLAB, Adafruit.
Supervisor Name:
Dr. Shahzad Saleem
Group Members:
Gui Hameed Khan (i21 - 0903)
Zulqurnain Abbas (i20- 2380)
FAST NUCES ISLAMABAD CAMPUS
Microwave Assisted Autoclave System
This project aims to design and implement a Microwave-Assisted Autoclave System, an
innovative approach to sterilization that leverages microwave energy for efficient and rapid
sterilization of medical and laboratory equipment. Traditional autoclaves rely on high-pressure
steam for sterilization, which can be time-consuming and energy-intensive. The introduction of
microwave technology in sterilization processes could revolutionize the healthcare and laboratory
industries by offering a faster, more energy-efficient, and cost-effective solution.
An autoclave is a sterilization device that uses high-pressure steam to eliminate microorganisms
from medical and laboratory equipment. It operates by sealing items in a chamber, heating them
to 121-134°C at 15-30 psi, and maintaining this for 15-30 minutes. After sterilization, steam is
released, and items are dried. Your Microwave-Assisted Autoclave System aims to enhance this
process with faster, more efficient, and energy-saving sterilization using microwave technology.
Cle an Clave
Revol u tioniz ing Steri lizat io n with M icrowaves
an Clave is an 1nnovat1ve autoclave d es igned to
stenl1ze dental equipment using m1 c rowave -
norntecl steam. Unlike trad1t1onal autoclaves that
Ly on 1 Ps1st1ve heating elements, Clean Clave uses
rnlcr owaves to heat water. pr-oducin g steam
ff1c1ently. This stearn 1s then tran s ferred into a
atonl1zat1on chamber, where dental tools are
exposed to high-temperature vapor, ensuring
thorough d1s1nfect1on
How it: works :
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Tools & Technologies
Group Members:
20 1- 2755 W ard a N a eern
2 11 - 0973 Mirs ab Shahid
191- 0800 Osarna Nadeern
Technology Used:
Arduino IDE, Proteus, COMSOL Physics
AutoCAD.
Supervisor Name:
Dr. Awais Ayub
Group Members:
Mirsab Shahid (i21 - 0973)
Warda Naeem (i20 - 2755)
Osama Nadeem (i19 - 0800)
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An loT Based Platform to Monitor a Water Pump
This project aims to design and implement an loT-based platform for real-time monitoring of water pumps,
ensuring efficient operation and preventing potential failures. Inefficient water pump management leads to
excessive energy consumption, equipment damage, and operational disruptions. This system enables
remote tracking of critical parameters such as flow rate, pressure, current, voltage, and vibration, allowing
for timely intervention and improved system reliability.
Water pumps play a vital role in industrial, agricultural, and domestic applications, and their continuous
operation is crucial for maintaining water supply and energy efficiency. By integrating ESP32, ThingSpeak,
and HTTP protocols, this project enables real-time data transmission to the cloud, where users can monitor
performance and receive alerts when sensor readings exceed predefined thresholds. Additionally, SMTP-
based email notifications ensure immediate awareness of critical issues.
By automating water pump monitoring and providing real-time insights, this project contributes to optimized
energy consumption, reduced maintenance costs, and improved operational efficiency.
An IoT-Based Platform to
Monitor a Water Pump
OBJECTIVE
Ensuring efficient water pump operation through real-lime monitoring of key
parameters such as flow rate. pressure. current. voltage, and vibration. The
system aims to detect anomalies, optimize performance, and prevent failures
using IoT-based remote monitoring.
OVERVIEW
The system continuously collects sensor data, transmits it to the cloud using
HTTP. and visualizes it on ThingSpeak. Users receive email alerts via SMTP
when predefined thresholds are exceeded, enabling timely maintenance
actions.
Block Diagram
Features
Work Flow
-
Supervisor. Prof. Shahzad Saleem
Group Members:
ShizaJamil(20i·2312)
Maryam Malik(20i·2488)
AliHassan(20i·1915J
-
Data
Acquisition
Data
Dashboard
Email
Alert
--
Transmission
Display
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Tools
-
-
QThlngSpeak
Technology Used:
ESP32, ThingSpeak, HTTP, SMTP
Supervisor Name:
Dr. Shahzad Saleem
Group Members:
Ali Hassan (i20 - 1915)
Shiza Jamil (i20 - 2312)
Maryam Malik (i20 - 2488)
FAST NUCES ISLAMABAD CAMPUS
Cloud-Vision Based Road Fault Detection
Using Yololl And RTAB-Mapping
This project aims to develop an advanced road fault detection system leveraging cloud-based
computer vision and mapping techniques. The lack of automated road monitoring solutions leads to
infrastructure deterioration, vehicle damage, and safety risks. Our system utilizes YOLOv11 for real-
time road defect detection and RTAB Mapping for precise spatial localization. The detected faults
are processed and stored in the cloud, where they can be accessed through a dedicated web
application. The web app visualizes road conditions using Azure Maps and provides real-time alerts,
enabling authorities to monitor and respond efficiently. By integrating cloud computing, the system
ensures scalability, remote accessibility, and real-time analytics to improve road maintenance and
safety.
Super vis or: Or. Muhammad Tariq
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en automated road
SLAM to detect e nd map
YOLOll for object detection en
reconstruction. the system capture
LIOAR. GPS. IMU. a nd a camera mounted o
collected date is processed end uploaded to Az
Azure Digital Twins. enabling reel- time monitoring. v
a nd automated a le rts for proactive maintena nce.
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Technology Used:
Microsoft Azure, Ultralytics, Matlab,
Raspberry Pi , ROS2 , Python , Visual Studio ,
Open CV
Supervisor Name:
Dr. Muhammad Tariq
Group Members:
Abdullah Naghman {21i-0905)
Zuhaib Saadat {21i-0946)
llqa Shahid (21i-0958)
FAST NUCES ISLAMABAD CAMPUS
Designing a level 2 EV charger.
This project aims to develop a Level 2 Electric Vehicle (EV) charger to address the limited charging
is a major barrier to EV adoption. By designing an efficient Level 2 EV charger, this project
promotes sustainable transportation and facilitates the transition to electric mobility.
Objectives
•
Develop a reliable Level 2 EV charging solution to reduce charging time and improve
efficiency.
•
•
Reduce range anxiety and promote the adoption of electric vehicles.
•
Implement a cost-effective and scalable design to support future expansion of EV
infrastructure.
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DESIGNING A
LEVEL 2
EV CHARGER
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Huzarfa Sardar-
211 - 0915
OG.JECTIVES
Deve lop i ng a
Leve l
E lectric Vehic l e
(EV) cha r ger to
and reducing range anxiety and promotin g EV adopt ion_
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Technology Used:
Arduino.
Proteus.
MATLAB.
Supervisor Name:
Dr. Awais Ayub
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Group Members:
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Hameed Samad (i21- 0927)
ARDU:X:NO
FAST NUCES ISLAMABAD CAMPUS
Smart RFID-Enabled loT Pet Feeder
This project focuses on developing a Smart RFID-enabled loT pet feeder that leverages cloud
technology through MS Azure, an ESP32 microcontroller programmed with Arduino IDE, and a
mobile app built using Flutter. The system automates the feeding process by using RFID tags to
identify individual pets, ensuring they are fed at the right time with the correct portion size. By
integrating with the cloud, the feeder can be remotely monitored and controlled via a mobile
application, providing convenience for pet owners who want to manage their pets' feeding
schedules from anywhere.
With this innovative solution, pet owners no longer need to worry about overfeeding or
underfeeding their pets. The automated feeder ensures precise portion control, improving the
health and well-being of pets by sticking to personalized meal plans. Whether you're at home or
away, the system will offer peace of mind knowing your pets are being fed consistently and on
time. Through MS Azure, real-time data is stored and analyzed for further optimization of feeding
routines, making it a cutting-edge tool in pet care .
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NAME:
Roll No:
SHAHMEER ALI
19Hl860
BESAAM ANSAR
191-0895
SHAFQAT HUSSAIN
201- 2461
Objective:
Crea t e a Smart RAO- Enabled loT Pt't Feeder that
automatic.Uy dd'ects pets and dispenses food based on
personallud schedules. all controlled via a mobile app.
Motivation:
Provide pet owners with comfort and peace of mind by
ensuring their pets are fed on t ime. even when they
are not around.
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Deliverables
Technology Used:
Microsoft Azure, Arduino IDE, Flutter
Supervisor Name:
Dr. Atta UI Aziz lkram
Group Members:
Shahmeer Ali Mirza(l19-0860)
Besaam Ansar(l19-0895)
Syed Shafqat Hussain(l20-2461)
FAST NUCES ISLAMABAD CAMPUS

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