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Umair Adrees

FAST · 2020
Email
umairidreesisb@gmail.com
Phone
+923368837376
LinkedIn
GitHub

Academic

Program
CGPA
Year
2020
Education
Address
DOB

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Umair Adrees
+923368837376,umairidreesisb@gmail.com
Chour Harpal, Rawalpindi.
Linkdin: umair-idrees-b982a11a3
Education
Bachelor of Science (Electrical Engineering)
Major:
Power Electronics
Fauji Foundation College New Lalazar, Rawalpindi
F.Sc (Pre-Engineering)
Army Public School And College Westridge 3, Rawalpindi
Matric (Science)
Projects
Final Project:  Smart Waste Management System Using IOT:
A smart remotely controlled device that can monitor the status (Empty/Full) of garbage and nature of gases (carbon
monoxide) in the dumpster through an android application.
Semester Projects:
Home Automation System [atmega32, ASM Language]
Designed and Implemented on the Hardware.
F.M and A.M modulation [Matlab]
Modulation of signals with Graphical User Interface.
Image processing [Matlab]
Processing with Graphical User Interface.
Public Addressing System [MOSFET and BJT]
Designed the Amplifier.
Stop watch [Logic Gates]
Simulated and Implemented it on the hardware.
Water Level Detector
Done Simulation and Implementation.
Work Experience
Intern at FECTO Cement Limited
Worked with skilled staff, learned about cement making process. Familiarization with
equipment used in organization and its maintenance.
Intern at Kohinoor Textile Mills Limited
Worked with highly qualified professionals, learned about Generation and distribution of
Electrical energy.
Jul 2019  – Aug 2019
Jul 2018  – Aug 2018
Skills & Tools
Professional Skills
Team Work, Team Management, problem Solving and Communication Skills.
Technical Skills
MATLAB, Etap, C++, Python, Atmel, AUTOCAD, Proteus, Cisco Packet Tracer.
Achievements
Athletics At FAST
Awarded trophy of Man of the Match.
Activities
Participant of ‘Alpha Arduino’ in NaSCon’19.
Coordinator for ‘Project Exhibition’ in IEEE’15.
Interests
Music, Sports
Class of BS (EE)
Final Year
Projects
Automated Cardiopulmonary Resuscitation Package Delivery
Autonomous UAV
This project aims to design and implement a GPS following UAV, which would deliver the package
from initial destination to final destination. This prototype would get rid of traffic issues as well as
reduce time of delivery. In this prototype we will give coordinates to UAV through google map using
a app. The UAV will follow the coordinates, it will pick the package and deliver it to the destination.
Amazon has been Package Carrying Autonomous UAV for home deliveries.
Technology Used:
Raspberry Pi, Python, APM Ardupilot.
Supervisor Name:
Dr. Mukhtar Ullah
Group Members:
Danish Abbasi (i13 - 0396)
Bilal Hussain (i15 - 0574)
Rohail Abbas (i15 - 0554)
Mudassir Iqbal (i16 - 0526)
Automated Plastic Size Controller
is being faced by the plastic industry, where the plastic bag size is maintained by manual air
pressure control. Sometimes the desired size cannot be achieved due to inbuilt fixed values of the
pressure valve. Hence leads to inefficient production. There is no such system to keep the record
for the total number of plastic bags produced. The desired size of plastic bags or plastic packaging
does not match with the achieved size at times. Trained human labor is required all the time as a
small distraction could lead to inaccurate sizes being manufactured. The proposed project is
expected to contribute to the up-gradation of the Plastic Manufacturing Industry.
Automated Plastic Size Controller is going to make an automated pressure control system that will
assist in getting the desired size without labor. Mainly servomotor valve is being used which will
control the size of plastic through pressure sensors and solenoid valves. First of all, the system will
take the input as a desired size of plastic. Secondly, the servomotor valve will adjust itself to get the
desired pressure using the pressure sensor. Thirdly when the pressure is set and the system will
start counting the number of plastic pieces/bags produced using the IR sensor. Lastly, the system
will send and save data on the database from where users or authorities can view the information
that how much pieces or bags they have produced.
Technology Used:
Arduino, Xamp, Proteus
Supervisor Name:
Dr. Ataul Aziz Ikram
Group Members:
Sana Malik (i16-0518)
Karima Bibi (i16-0530)
Sardar Muhammad Haseeb Ullah (i16-0576)
Blind See
A very affordable system made for visually impaired people consisting of main 2 products, a
headgear which is equipped with a camera that is used to convert text to audio so that the visually
impaired can read and a smart stick equipped with sensors and hap-tic feedback that will help the
user avoid obstacles and changes in elevation so that they will know their surroundings. The
products are not only helpful for blind people but can also be useful for low sighted and aged
individuals.
gadgets in the market for the visually impaired. Even if they do exist they are extremely expensive
and difficult to come by. So we as electrical engineers decided to design and develop a cheap and
easy system for blind people that would assist them in their day to day tasks.
Technology Used:
Raspberry Pi, Python, Arduino
Supervisor Name:
Dr. Mukhtar Ullah
Group Members:
Mohammad Salman Hussain (i16 - 0462)
Faris Khan (i16 - 0414)
Ibrahim Samad Afridi (i16 - 0440)
Decentralized Coalition Formation for Multi-Agent System
Whenever there is a need to accomplish a task using agents i.e. UAVs (Unmanned Air Vehicles) and
UGVs (Unmanned Ground Vehicles), there sometimes comes a situation where a single agent is not
able to handle that task on its own. When this situation arises, there is a dire need for group or
coalition formation of those agents to accomplish that task. The agents need to communicate with
each other and collaborate with each other according to the mission. The purpose of this FYP is
Implementing an IEEE algorithm for best coalition (Group) formation, minimizing the resource cost
for accomplishing a task which cannot be accomplished by a single agent. Agent could be a Ground
Vehicle, Drone or any functioning unit. The Agents will be able to communicate and send signals to
each other to make them able to accomplish a task together.
Applications:
The application of this FYP is very wide range and some of the them have been quoted below
Surveillance and Security
Package Delivery System
Target Execution
Defense Projects
Object Detection
Technology Used:
MATLAB, Proteus, Radio Frequency transmission,
Wireless Communication, Arduino Nano.
Supervisor Name:
Dr. Waqas Bin Abbas
Group Members:
Malik Abdul Wahab (i16 - 0553)
Muhammad Saad (i16 - 0448)
Muhammad Shahrukh (i16 - 0417)
Deciphering Sign language into Audio & Visual Display using gloves with
sensors
According to the World Health Organization (WHO), 466 million people across the world have
disabling hearing loss (over 5% of the world’s population), of whom 34 million are children. Physical
disability of hearing for deaf people and disability of speaking for dumb people yields to lack of
communication between normal person and deaf and dumb person. To overcome this problem, we
introduce an application. Our application model is a desirable interpreter which translates sign
language to synthesized text and voice.
Sign Language Gloves with Integrated Sensors (application): is a specialized glove which will help
communication between a deaf and dumb person and a person of coherent senses. User will wear
glove on each hand and perform a particular gesture. This gesture will be converted into audio and
displayed on LCD. It will be easy to use and targets the need of an average man.
Technology Used:
Arduino IDE
Supervisor Name:
Dr. Waqas bin Abbas
Group Members:
Qasim Javid (i16 - 0443)
Imran Haider (i16 - 0527)
Laeba Iqbal (i16 - 0439)
Deep Learning Based Vehicle Identification and Classification System
In this project, artificial intelligence in the form of deep learning neural networks is being utilized to
devise a vehicle type identification and classification system. As crime rate related to vehicles is
increasing day by day, there must be a monitoring system for the identification of vehicles. So, this
project is being offered in collaboration with Safe City Islamabad with the intent of further
extending its capabilities of the currently deployed solutions.
This system requires a camera module to acquire snapshots which would be processed locally and
at a central server. Then this system would apply a combination of Deep Learning Algorithms
utilizing Neural Networks and Image Processing techniques on the camera snapshots to classify the
subject vehicle as motorbike, car, van, truck etc. It would also be able to identify the make/brand of
the vehicles (i.e. Toyota, Honda, Suzuki etc.). The Deep Learning Neural Network would
continuously get updated as it is fed with the new data. This would ensure that the system
continues to evolve with time, producing accurate results.
Technology Used:
Python, OpenCV, Tensorflow,
Raspberry Pi, NVIDIA GPU
Supervisor Name:
Dr. Farhan Khalid
Group Members:
Syed Muhammad Ahmed (i16-0479)
Sameer Abdul Rehman (i16-0519)
Suleman Khan (i16-0536)
Electric Power Generation from Overhead Water Tanks
shortage, high cost power generation, and dependency on foreign oil, economic crisis, blackouts,
and increased electricity bills. Economies around the globe are facing high-energy demand to
achieve sustainable economic growth. However, the challenge is not only to meet the rising
demand but also to put less reliance on the depleting fossil fuels, which cause damaging
environmental effects. Affordable and sustainable energy supplies not only bring prosperity for the
population at large but also help eradicate poverty through various direct and indirect channels.
Sustainable Development Goal 7: Ensure access to affordable, reliable, sustainable and modern
energy for all by 2025.
Hence, contributing towards the solution to these problems, our aim is to harvest potential energy
of water present in residential overhead water tanks and generate electricity. Through pipes, water
would fall down onto the turbine. The kinetic energy of water would be used to rotate the turbine
blades which would drive the generator to produce electricity. During the peak hours, we can
generate maximum power. That in turn can charge a battery. Through an inverter, we can convert
DC to AC for load purposes. This solution will be cost effective, environmental friendly and can be
installed at remote and off grid areas to fulfil the basic needs. Being an unconventional way to
generate power, it would tackle the problem of ongoing energy crisis minimizing the burden on
existing sources. Deployed on a large scale it can save municipal a substantial amount of money.
Technology Used:
MATLAB (Simulink)- For Simulations
Renewable Technology
Supervisor Name:
Dr. Muhammad Jafar
Group Members:
Aliza Sharif (i16 - 0542)
Ammar Saeed Haider (i16 - 0495)
Sarmad Mahmood (i16 - 0501)
Facial Recognition-Based Attendance System
The main objective of this project is to offer a system that simplifies and automates the process of
recording and tracking students' attendance through face recognition technology. It is the next step
in biometric identification technology. The objective is to identify or verify a person from a digital
image or surveillance video. This will also automate the system of updating attendance database
automatically.
Technology Used:
Image processing
Supervisor Name:
Engr. Shahid Quershi
Group Members:
Faizan Ali (i14 - 0543)
Muhammad Shehzad (i14 - 0373)
Sohaib Arshad (i15 - 0578)
Green Self-Powered Air-Water Harvester
Clean water and sustainable sources are needed for social and economic progress in society.
and water shortage adds to the urgency of the problem and key integral steps have to be taken
without delay.
Green Self-Powered Air-Water Harvester is the solution to this grave problem. Renewable energy
technologies such as wind turbine and solar panel, when used to generate power, not only require
less overall maintenance but help in saving money long term, as there are no operating costs.
Moreover, renewable energy generation sources emit little to no greenhouse gases or pollutants
into the air, contributing to an overall healthier atmosphere. Instead of generating water
conventionally, the technique of Thermo-Electric Cooling (TEC) is adapted that is powered by best
suitable renewable energy technology, keeping in mind the geographic limitations.
Thermo-Electric Cooler operates by the Peltier Effect; When direct electric current passes through
the device, temperature difference is created by the transfer of heat between the two electrical
junctions. Humid air gets in contact with the cold side of Peltier Cooler and water is produced. Air-
Water Harvester is designed to produce maximum amount of water from air as it is operable in
three different modes depending on the weather and environmental conditions.
Existing solutions are either using vapor compression techniques that are costly, require
maintenance and high input power, or are TEC based but only work in particular weather
conditions. Green Self-Powered Air-Water Harvester requires no maintenance, runs on green
energy and is remotely monitorable using cloud storage, which helps in remotely observing the
performance of the device and facilitating fault detection. It is cheap and capable of producing
maximum amount of water in all weather conditions.
Technology and Tools Used:
Thermo-Electric Cooler (TEC),
Arduino (Computing Platform),
SolidWorks, Altium Designer, Adobe Photoshop,
ESP32 Microcontroller, CloudMQTT, Grafana
Supervisor Name:
Dr. Rashad Ramzan
Group Members:
Asfa Sajid (i16 - 0433)
Obaid Ullah Aamer (i16 - 0581)
Saad Walayat (i16 - 0408)
STATCOM for voltage Regulation and Power Quality
Electrical loads both generate and absorb reactive power. Since the transmitted load often varies
considerably from one hour to the next, the reactive power balance in a grid varies as well. This can
result in unacceptable variations in voltage, including voltage depression or even voltage collapse.
The Static Synchronous Compensator (STATCOM) is a shunt device of the Flexible AC Transmission
Systems (FACTS) continuously provides variable reactive power in response to voltage variations,
supporting the stability of the grid. The STATCOM regulates voltage at its terminal by controlling
the amount of reactive power injected into or absorbed from the power system. When system
voltage is low, the STATCOM generates reactive power (STATCOM capacitive). When system
voltage is high, it absorbs reactive power (STATCOM inductive). The variation of reactive power is
performed by means of a Voltage-Sourced Converter (VSC) connected on the secondary side of a
coupling transformer. The VSC uses forced-commutated power electronic devices to synthesize a
voltage from a DC voltage source.
Installing a STATCOM at one or more suitable points in a grid will increase power transfer capability
by enhancing voltage stability and maintaining a smooth voltage profile under different network
conditions. Its ability to perform active filtering is also very useful for improvements in power
quality.
Technology Used:
MATLAB Simulink, STM Cube,
Altium designer, TrueStudio
Supervisor Name:
Dr. Muhammad Jaffer
Group Members:
Sayeda Hafsa Noor (i16-0498)
Syed Adnan Hassan (i16-0525)
Osama Zahid (i16-0450)
IoT Based Demand Side Load Management System
Since past few decades human depending on electrical devices has been increased. So it has
increased energy demand as well to tackle this issue governments has introduced peak hours
(when demand is high) and off hours. As prices of electricity is high during peak hours. It has
increased price of bill for consumer. Consumer need to reduce demand during peak hours
somehow.
To cop up this problem we need to manage load during peak hours because extra burden has
pulled during this time. It is not convenient for consumer to check status of devices and to turn it
on/off. So we can design a smart device which will merge home devices and reduce demand during
peak hour to save energy and reduce amount of bill.
Technology Used:
Internet of Things (IoT)
Supervisor Name:
Engr. Shehzad Ahmad
Group Members:
Abrar Javed (i15 - 0570)
Kashif Mustafa (i15 - 0559)
Muhammad Hussain (i15 - 0491)
IoT Based Food and Medicine Quality Monitoring
A whopping number of perishables items both frozen food and medicines gets spoiled due to
undetected temperature excursions caused by long electricity outages or refrigerator failures. The
temperature and intensity of light in the storage area are considered as a primary parameter in
food/medicine storage safety. The case becomes more complex when spoiled food freezes again.
There exists no mechanism other than expensive chemical testing from labs to detect that either
the food or medicine is good for use or not. This not only affects the health of the consumer but
also causes monetary losses.  To overcome this issue, continuous data monitoring is required for a
better-quality monitoring of perishable items.
Here we proposed IoT enabled solution which provides a distinctive variety of sensors to monitor
the fridge parameters (temperature, humidity, light, door open close, vibration sensor, and voltage
sensor) with higher accuracy. The system also has an inbuilt vibration sensor for theft monitoring. It
also has the ability to generate an alert in case of any movement. Communication between
modules (node and gateway) is achieved by LoRa based communication protocol. In the realm of
IoT, LoRa (Long Range) based communication brings revolution due to its low power consumption
and long-range coverage.
The proposed system has two modules, i.e., LoRa node and the gateway. The sensors constantly
read the information and send it to the gateway. The data is stored at the cloud and is accessible to
the authoritative personnel through a web/mobile application. The local store manager and the
authoritative personnel will be notified immediately if any of the parameters get out of the preset
threshold limit.
Technology Used:
CNC Machine, Altium, Proteus,
Solid Works, Arduino, Nextion Editor,
MIT App Inventor
Supervisor Name:
Prof. Dr Rashid Ramzan
Group Members:
Muhammad Usman (i16 - 0493)
Muhammad Hassan Sharif  (i16 - 0427)
Qurat Ul Ain Soomro (i16 - 0410)
Motorbike Crash Detection and Notification System
This project aims to provide with an affordable electronic system which can be integrated with any
motorbike to successfully detect an accident and autonomously notify emergency responders with
the location of the incident. Accident prevention systems are non-existent in two-wheel drives
which results to often fatal or life lasting injuries. This system would ensure that emergency
responders are notified immediately as the unfortunate person who was in accident wouldn’t be in
the right state, mentally or physically, to notify authorities. The system will be helpful in saving
countess lives as the response time of emergency responders would be cut short.
Notification System: The notification system is self-powered and does not require any separate
power source outside of the product. The coordinates of would be detected automatically by the
GPS and send to an emergency contact provided by the user and to emergency services via GSM.
GSM would require a SIM card which would be provided by the user.
Technology Used:
Arduino IDE, Proteus, Matlab
Supervisor Name:
Dr. Mukhtar Ullah
Group Members:
Haroon Ashraf (i16-0415)
Shaheer Ashraf (i16-0413)
Shazeel Sadaqat (i16-0568)
Nemobile: The Self-Driving Robot
This project aims to design and implement an autonomous self driving robot, which will be able to
detect lanes and obstacles in its way. The model we have designed is a proof of concept model
which can easily be implemented on real life vehicles by adding minor adjustments. Some minor
adjustments include, using a higher resolution camera and using the images from camera to detect
obstacles instead of ultrasonic sensors. Using images to detect obstacles has also been
implemented by us but due to the smaller scale of the model with respect to its speed, it was more
viable to use ultrasonic sensors on the smaller model. On a larger scale model using the image
processing algorithm developed will be more suitable.
This product has 2 major future aspirations, the first being that this proof of concept can be used to
road by a huge margin and also decrease traffic caused by human errors. Another Future aspiration
for this project is to make a self-driving kit which is compatible with almost any car. After
installation of this kit the car will be fully autonomous, this will be the next step towards a new
Technology Used:
Raspberry Pi, Python, Tensorflow,
Carla Simulator, Keras, Proteus.
Supervisor Name:
Dr. Ata-Ul Aziz Ikram
Group Members:
Muhammad Murtaza Khan (i16 - 0478)
Tayyab Rehman (i16 - 0528)
Smart Beverage Container Collecting Machine
This Project aims for collecting empty beverage containers at the source and increasing the
recycling rates with a reward system. It becomes possible for users to preserve and to collect the
waste separately and cleanly at the point that the waste occurs by throwing different beverage
containers. If people are given an incentive to properly dispose of PET bottles it will reduce littering
and allow recycling. More than 480 billion plastic drinking bottles were sold in 2016 across the
world, up from about 300 billion a decade ago. If placed end to end, they would extend more than
halfway to the sun. By 2021 this will increase to 583.3 billion, creating an environmental crisis. So
the need to improve recycling processes and restrict environmental crises gives this project the true
value and importance.
Smart Beverage Container Collecting Machine collects recyclable bottles and cans. Firstly, the user
inserts a beverage container and an RGB camera detects using CNN (Convolution Neural Network) if
it matches the accepted type of container. After acceptance, it goes into the conveyor belt system
to be sorted to its related dustbin depending on its type (Cans, bottles). A reward is sent to the
user’s mobile phone in the form of a text message. Also, a cloud is used to show the current
capacity of all the dustbins to the recycling company.
Technology Used:
Raspbian, PyCharm,CNN
Supervisor Name:
Dr. Wasim Ikram
Group Members:
Muhammad Haseeb Ahmed (i16 - 0514)
Abdus Sami (i16 - 0402)
Muhammad Uzair(i16 - 0452)
Smart Cafe
This project aims to design and implement a smart cafe app, which will replace the ordering and
delivery system of the current restaurants and cafes. Absence of such methods in the
restaurant/cafe industry causes many problems for cafes and customers. Current cafe management
system is dealing with some problems like irregularities in ordering, wastage of time, customer
dissatisfaction and increased manpower. To improve the situation, we suggested "Smart Cafe" app
as a solution to the above mentioned problems.
Smart Cafe is an android app which will allow customers/students to place their order from
anywhere in the university and cafe will tell you how much time it will take for your order to
prepare and after that time, student can pick their food from the cafe. There are three methods to
pay for the order:

Through credit card.

Through Wallet Payment which can be top upped from the cafe owner.

Through Cash on delivery.
For the app to work, students have to install the app and make their personal account. They need
an internet connection. Feedback regarding the services can also be given. It will be helpful for the
students and cafe owner for better track of their business.
Technology Used:
Java language, Html, PHP
Android Studio
Supervisor Name:
Dr. Arshad Hassan
Group Members:
Gulraiz Hayat (i13- 0351)
Aqib Shafiq (i14 - 0567)
Smart Waste Management System Using IoT
This project aims to design and implement a Smart Waste Management System (SWMS) using IoT
which could be helpful in making our environment clean. Absence of such systems is a major cause
for deep-rooted filthy surroundings which ultimately give rise to many diseases and distorts the
aesthetic beauty of our environment. This project is providing an efficient system which will lead to
eradicate the overflowing garbage by helping municipal authorities. Smart Waste Management
System (SWMS) is based on low cost embedded devices that helps in monitoring the level of the
garbage and detection of harmful gases in the waste bins. A unique ID is assigned to every waste
bin in the city so to localize the waste bin which is full or empty. Concerned authorities can access
the detailed status of waste bins with the help of internet through an android application so that
immediate cleaning action can be taken. Pi camera has been installed which will prop up the
municipal authority by sending the picture of sanitary worker.
Technology Used:
Internet of Things ( IoT )
Supervisor Name:
Engr. Aamer Hafeez
Group Members:
Aaqib Javed (i15 - 0425)
Umair Adrees (i15 - 0240)
Haseeb Hassan (i15 - 0531)
Solar Panel Auto-Cleaning Robot
The challenge of mitigating power loss in Solar Photovoltaic (PV) systems due to dust is critical to
the economical deployment of Solar Systems in arid regions. These areas suffer from high aerosol
concentration levels and frequent sand storms lead to an accumulation of a layer of dust on the
surface of solar arrays. The dust stays in place due to slight and occasional rain fall. The traditional
manual cleaning mechanisms have disadvantages like risk of staff accidents, damage of panels and
poor maintenance etc. This project provides an effective & non-abrasive auto cleaning mechanism
for Photovoltaic modules of solar panels and ultimately efficiency of solar cells will be increased.
Technology Used:
Arduino, Proteus, Wi-Fi App,
Bluetooth App, MATLAB.
Supervisor Name:
Engr. Aamer Hafeez
Group Members:
Akif Ansar (i16-0552)
Moeez Ali Tahir (i16-0544)
Sumiya Shafi (i16-0569)
Underground fault detection and location in Power lines using
GSM Technology
This project aims to design and implement an underground fault detection and location in power
lines using GSM technology. Electrical energy worth billions of rupees are being wasted because
faults in underground power lines are not detected timely and a lot of resources are being utilized
in order to detect and locate fault in various power lines. This project finds a solution for this
problem by implanting a set of units on various points on power distribution line and measuring the
instantaneous values continuously.
Underground fault detection and location in power lines using GSM technology
We will implement certain nodes each containing CT (current transformer) and PT (potential
transformer) which will measure the current and voltage and give the value to a main node, main
node will then compare the values of current and voltage between nodes and detect the faults
quickly saving time and money After determining type of fault microcontroller sends type of fault
and its location to authorities in the form of SMS using GSM and GPRS module.
Technology Used:
Proteus , Arduino
Supervisor Name:
Engr.Shehzad Ahmad
Group Members:
Hamza Farooq (i15 - 0479)
Osama Ali (i15 - 0335)
Haris Ahmed (i16 - 0521)
Universal IR Remote for Home Appliances
This project is basically based on IR communication. Infrared (IR) communication is a widely used
and easy to implement wireless technology that has many useful applications. The most prominent
examples in day to day life are TV/video remote controls, motion sensors, and infrared
thermometers. With a simple IR transmitter and receiver, you can make remote controlled robots,
distance sensors, heart rate monitors, DSLR camera remote controls, TV remote controls, and lots
more.  The use of home wireless networks, Smart Phones and Tablets enabled with Wi-Fi has
grown. Wi-Fi communications can provide a control link to a Universal Infrared Remote Control. By
combining these technologies, a single control interface on a smart phone and then provides a new
control interface to consumer’s home entertainment systems. Or any other devices that are
capable of being Infrared Remote Controlled.
Technology Used:
Infrared
Supervisor Name:
Dr.Babar Kaleem
Group Members:
Mohammad Haseeb (i14 - 0454)
Muhammad Sajid Farooq (i15 - 0484)
Ramis Hussain Ch (i15 - 0516)
High Achievers
Class of BS (EE)
Abdul Wahab (i16- 0553)
back in the summers of 2016. I wanted to choose a good university for my bachelors and in this
stead, I asked my seniors and my relatives. Some answered NUST, some said UET, some said FAST. I
chose FAST for my future studies after discussing with my parents and cleared the entry test. It was
not far until I realized that the way you study in college is very different from how you study in
University. In University your horizon is as broad as you can make it. You can learn as much as you
want. Albeit, the syllabus is defined and confined but the resources are potentially infinite. The
more you explore the topic the more you get into its depth and this helps you discover other
dimensions of the topic. At my time in university I studied from multiple resources, I used to go on
internet to find the best books related to that subject, this is why I scored good. It won’t be
medically correct to call your brain a muscle but the analogy I am going to draw is not bogus and
has been proven in various scientific studies. When you train your muscles, they become stronger,
the same happens with our brain, the more we train it the more our neural networks are toned.
The question of how is rather interesting but simple. Read! As much as you can. Read books,
newspaper, blogs, stories whatever you like. I read allot and this helped me allot because first, you
have the temperament and practice of studying long when needed and second, you improve your
neural connections and focus. I took part in allot of activities in my starting semesters and I was the
general secretary of our Engineering society so managing co-curricular activities with studies is
what you learn in University .Last but not the least, I would consider it important to mention the
role my teachers and mentors played in my journey. Instructors in FAST are very helpful and they
are available for mentorship all the time. I have had gone to my professors in times of need and had
never returned unfulfilled. The culture diversity in FAST is something you experience when you
come out from college. FAST made me believe that everything is possible if we make it put our
focus and energy into it.
Aliza Sharif  (i16-0542)
The thought of having my name written in the medalists list, sharing that honor with the best
students of our batch, never occurred to me. I always considered myself an average student but
one thing that has brought me to this position is HARD WORK. Believe me guys, hard work and
consistency is the key to success, it can make you do wonders.
I had a hard time in my initial days at FAST because I couldn’t adapt to the new system that easy. I
took my time to settle myself and noticed all the rat race that’s been going out around here. At this
stage of my life, I found some sincere friends who always had my back. This gave me a lot of
courage and determination to move myself towards excellence and I made my core purpose to
LEARN.
From that day till now, I have always worked upon to polish my skills and abilities and obviously I
couldn’t have done it without the support of our respective teachers and faculty staff of FAST.
From my journey, here is the piece of little advice to you all:
Never let anybody make you feel low, it lies solely in your own hands how you shape your future.
Always believe in yourself and don’t give in to the fear of failure, instead, learn from your mistakes.
Don't ever shy away to take challenges and fly high. If YOU can dream it, YOU can do it.
Ammar Saeed Haider (i16-0495)
To be a part of FAST-NU was not a planned event but after completing 4 years at this university I
realized that it was a great and worthy experience. It is a long road and every day you meet
different challenges along the way. FAST has enabled me to fight those challenges and has provided
me all the essential skills that would help me in my professional life. Time management is one of
the key skills the university focuses on as you have to be on your toes to survive a rigorous
semester load. Besides that it also focuses that their students turn out to be ethical individuals in
their practical life. Diversity is one of the key features of FAST where people from different ethnic
backgrounds come together. I think this has helped me to interact with different people giving me a
better picture of the practical life. Aside from gaining essential skills and vast learning experience,
FAST has helped me to become more independent and to grow as an individual. It also has trained
me to survive and compete in tough situations. Lastly, I am glad that FAST has provided me with
some of the best experiences and a chance to meet supportive teachers and friends and great
memories that I would remember throughout my life.
Faris Khan (i16-0414)
Electrical Engineering.
I was able secure a gold medal in the very first semester of electrical engineering. It was what one
might say a great moment of my life.
One might think it required countless hours of studying, focus, determination and keeping the goal
in your mind constantly. That might be true for most people generally, but this was not true in my
case.
After joining the university it took me some time to adjust, I made friends and I enjoyed my first
semester. I had never planned on getting a gold medal that was just simply not my goal. In fact I
didn’t realize I secured a gold medal till my friends told me. My goal was to learn, new concepts,
new information that would be of use to me when I left this institution four years down the line,
After all what is a medal, what does it signify? That one achieved the highest grades in all the
courses? That can be done by many methods many shortcuts, but it does not mean that one has
the best knowledge, concepts or best skills to be applied in the real world, in the end the ability to
apply knowledge in the real world is what matters most.
I didn’t go home and studying extra hard or spend sleepless nights going over the course material
rather the only thing I did was pay attention in class, that’s it. All I did for the most part was give my
entire focus during the lectures, I tried to understand the concepts in the class. I didn’t study much
when I went home as I had other commitments. When the time came for quizzes or midterms I
would just revise what was already clear in my head from sitting attentively in the class. Midterms
and finals went by easily.
I ended up achieving something that I had never planned for, rather it was a result of consistency,
attentiveness and keeping the real goal clear in my head… learning.
I would like to express my gratitude to the university and its faculty members, FAST has groomed
and polished me, it has made me reassess my goals and vision. I now know the most important goal
is lifelong learning.
Muhammad Imran Haider Abid (i16-0527)
We all aspire greatness in our life’s and acceptance of the ordinary is almost never the case
whether we forge bonds of matrimonial alliance, in deciding our career paths or something as
mundane as choosing our favorite cereal. All those who have tread and changed our perceptions on
the do’s and don’ts of our time have shown almost inhuman resilience and persistence in
overcoming seemingly impossible odds. We as aspirants look up to them and hope that history
records and commemorates our existence in the redefining moments that shaped our present and
are guides to our future. Elon Musk and Mark Twain have said “Don’t confuse education with
schooling”. Education is a lifelong process and is completely separate from the pressures and
domain of competitive grading. To the dear reader giving up precious time in reading this note, I
leave these engaging words for your ponderance “Game changers of our time have done
extraordinary and awe-inspiring breakthroughs without college degrees but with REAL LEARNING”.
Muhammad Usman (i16-0493)
It’s an honor to secure my name on the list of high achievers in FAST –  National University of
Computer and Emerging Sciences (NUCES) Islamabad batch 16 of Electrical Engineering. I am
grateful and happy to have my name on it.
I had a clear vision about the career that I wanted to pursue after college. I wanted to be an
most reputable and academically disciplined institutes; being part of it is an honor and a
memorable part of my life. Time spent in FAST has been challenging; tough routines crush you, but
so does life. Achieving such an honor despite hardships and difficulties is something I cannot
describe in words. Managing your name in High Achievers’ List is like winning despite life’s crushing
routines and callings. Failures are inevitable but behind every failure, an opportunity to succeed is
always present. Not giving up and fighting back is the secret to success. I have learned that during
One thing I would highlight here is the sacrifices of my parents and the efforts of my teachers. Their
sacrifices and efforts have shaped my personality and I owe my achievements to them.
Muhammad Uzair (i16-0452)
It is a great honour for me to recognize among the best students of my batch and to write a High
Getting my twelve years of education from a government institute and a first member of my family
to get enrolled in an engineering discipline was an achievement in itself. But a journey to these
achievements was not easy. It contained a lot of ups and downs. I suffered a lot in my early
semesters due to a lack of self-esteem, communication skills, and a competition with O/A level
background students. But, I successively achieved a medal in Fall’18, a name on Dean List in
Spring’19 and ‘A’ grades in technical courses which were once looked impossible to me. This all
happened with patience, hard work and motivation to study.
I never study the whole day; I spend time just like a normal student. But I study when it is needed; I
prepare fully for my exams, complete my assignments on time and do my projects on time.
I would advise every student to never bunk your class and always listen to your teacher with the
concentration that help you to attain good marks in exams and never disappoint you. Always
believe in yourself, listen to your heart and never compare yourself with other students but take
tips from them. I believe that every student irrespective of their background can achieve all their
goals.
In Last, I would like to pay special tribute to my Parents, all Teachers who taught me up till now and
the FAST learning atmosphere without them I am unable to write this note.
I am looking forward to contribute my services to engineering discipline and in the betterment of
my beloved country.
Qurat Ul Ain Soomro (i16-0410)
It is a matter of exceptional pride for me to be recognized among the high achievers of the
Electrical Engineering class of 2020 of FAST-National University of Computers and Emerging
Sciences (NUCES), Islamabad campus.
I always believe that success is never bound by any terms of places, people, gender or any
particular set standards. My early educational journey started in a city of Sindh and afterward
moved to Islamabad for secondary education. For my higher studies, I was thankfully given a
distinction medals and got the name in high achievers’ catalog. From College to university, the
academia is quite a different ordeal.  I had tons of hurdles, but I knew there isn't any summit that
can't ascend. I never had set numbers of study hours or any particular formula for achieving it all.
Success is never defined by any set of medals or grades. It's a consistent hard work until you stand
beside your set destiny. I always believed that I am a cluster of imperfections so I always had a
room of improvements in my personality, thinking and end goals.
I would also enlighten the diverse atmosphere of FAST, which not only helped me in grooming
myself but also led me to a number of unforgettable innovative and cheerful experiences. Along
with academic knowledge, FAST also makes us compatible with the industry by arranging industrial
visits.
On this point, I would like to highlight the sacrifices and efforts of my parents and teachers. My
struggle and efforts weren't of any output if they weren't there to guide me.  Lastly, I hope to pay
back my country in a way that will bring change in the lives of millions.
Tayyab Rehman (i16-0528)
It is with great joy and pride that, I am able to say, I have achieved some form of academic feat in
with two medals in my life. One silver medal in the second semester and another silver medal in
sixth.
Putting aside the awards, since I have been given the platform, I would like to talk about setting
one’s values .It is extremely important that you value the things that really matter. Do not put value
on yourself based on what GPA you are getting or how many awards you are getting. If you do that
chances are, if you are overachieving then you will develop hubris in your attitude and if you are
underachieving you will be frustrated and depressed. Rather, you must value effort, learning and
sincerity as these things will remain eternal in your life. GPA and awards are just the byproduct of
these. I never have a GPA goal or something, I just learn with sincerity and effort and the rest
follows. To be completely honest, my awards are going to sit on my shelf collecting dust and the
most I will get out of them is a sentence in my CV. But my curiosity for learning, hardworking effort
and my sincerity towards myself and others will remain with me throughout my life. So for a short
gain, yes, GPA is enough but for a lifetime of gain, work on your values and other things will come
to you eventually.
Lastly, I am extremely grateful to my teachers and my university for showing me these values in life
and for giving me an opportunity to gain knowledge and learn. FAST has helped develop my
character and I hope it continues to do so for the next generations to come.
PosiƟon Holder
Class of BS (EE)
Medal Holders of Bachelor of Science (Electrical Engineering)
Batch 2016
S.No
Roll-No
Name
Fall-16 Spring-17 Fall-17 Spring-18 Fall-18 Spring-19 Fall-19
1.
i16-0542 Aliza Sharif
Gold
2.
i16-0495 Ammar Saeed Haider Bronze
Gold
Bronze
Bronze
3.
i16-0414 Faris Khan
Gold
4.
i16-0553 Malik Abdul Wahab
Gold
Bronze Silver
Silver
5.
i16-0527 Muhammad Imran
Haider Abid
Silver
Gold
6.
i16-0493 Muhammad Usman
Bronze
7.
i16-0452 Muhammad Uzair
Silver
8.
i16-0410 Qurat Ul Ain Somoro
Bronze Silver
Gold
Gold
9.
i16-0498 Sayeda Hafsa Noor
Silver
Bronze Bronze
10.
i16-0528 Tayyab Rehman
Silver
Silver

AI enrichment

Umair Adrees is a final-year Electrical Engineering student specializing in Power Electronics with experience in IoT, embedded systems, and automation projects. He has completed internships in industrial settings and possesses technical skills in MATLAB, Python, C++, and hardware prototyping tools.
Skills (AI)
["Power Electronics", "IoT", "Embedded Systems", "MATLAB", "Python", "C++", "Arduino", "Raspberry Pi", "Proteus", "AutoCAD", "Etap", "Home Automation", "UAV Development", "Signal Processing", "Image Processing"]
Status: ai_done
Provenance
Source file:
Created: 1777723971