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Imran Ahmad Qureshi

Imran Ahmad Qureshi

Lecturer

ISRA Uni | Islamabad

Technologies

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Introduction to Python

Data whisperer, decoding the language of numbers with finesse.

My Work

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Data Manipulation with pandas

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Introduction to Python

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Intermediate Python

DataCamp Course Completion

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My Work Experience

Where I've interned and worked during my career.

Isra University | Sep 2018 - Present

Lecturer

I have been teaching courses as follows • Microprocessor and interfacing • Embedded Systems • Probability and random variables • Signal and System • Electronic Circuit Design • Linear Algebra and Differential Equation I have supervised many FYPs as follows • Self Designed Heartbeat Sensor and Contactless Infrared based Thermometer using Arduino Pro mini • Machine Learning based Fatigue Measurement using Arduino UNO with publication (Ayaz, M., Ayub, M. W., & Qureshi, I. A. (2020, October). Arduino Based Fatigue Level Measurement in Muscular Activity using RMS Technique. In 2020 International Conference on e-Health and Bioengineering (EHB) (pp. 1-4). IEEE.) • Voice Controlled Robotic Car using Arduino Mega. • Car Parking Management System using Arduino UNO. • Password Based Circuit Breaker using Arduino UNO. • Smart Notice Board using Arduino Mega. • Traffic Light Control using Arduino UNO. • PIR Motion Sensor and Fingerprint Sensor based Security System using Arduino UNO.
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Isra University | Nov 2017 - Sep 2018

Lab Engineer

Taught Labs of: • Microprocessor and Interfacing Techniques Lab • Embedded Systems Lab • Electronic Circuit Design Lab • Signal and System Lab • Electric Network Analysis Lab • Communication Systems Lab

END Technologies Pvt Ltd | Aug 2016 - Nov 2017

Research And Development Manager

My responsibilities were • Team leading in making Basic Electrical Engineering Trainer & Instrumentation & Measurement Trainer. • Managing International Projects related to Signal Processing, Image Processing & Machine Learning using Matlab, Python & R as follows • Counting Photo-Receptors in Optical Coherent Tomography Images. • Counting Pollen Grains in Images. • Brain Tumour segmentation. • Face Recognition based Attendance Management System using SVM & HOG. • Fake & Real Face Detection using SVM & HOG. • License Plate Recognition. • OMR sheet scanner for counting correct attempted MCQs. • Handwritten Digit Recognition using Fourier response & SVM polynomial. • Separation of Colored and Black & White Images. • Gender Recognition from Images Using SVM. • Clustering fingerprint images using K-Means. • MNIST based Handwritten Digit Recognition using KNN, NB, PCA, Linear Fischer Discriminant & Self Organizing Map. • Clustering fingerprint images using K-Means. • Gender Recognition Using SVM. • IOT Attacks Prediction using SVM, DT & RF. • Prediction extent of disease of ECG data using RF & SVM. • Time Series Price Forecasting using RF. • Sensorless Drive Diagnosis using Logistic Regression. • Prediction of Solar Radiance using SVM & Bayesian Ridge regression. • Sign Language Recognition. • Classification of dementia disease using XGboost & Logistics Regression. • Classification of Nursery data using SVM & Logistic regression. • Regression on Wine Dataset using LASSO, Ridge, RF, DT & KNN. • Speech Recognition System. • Filtering of voice signal. • Discrimination between voiced & unvoiced phonemes. • Data analysis of list of 10 weather monitoring stations around Denver area. • Data analysis of Temperature & Rainfall of Washington, DC & Denver, CO. • Data analysis & Hypothesis Testing Hotel Booking Cancellation Prediction. • Data analysis of UAE Fish Catching. • Data analysis of UAE Transactions. • Data analysis of no of Patients Treated at Primary Health Centers.

END Technologies Pvt Ltd | Jan 2013 - Jul 2016

Research Engineer

My responsibilities were • Working on Atmel, AVR and PIC based Development Boards, Kits and Programmers. • Circuits Simulation, Designing and Assembling of PCBs for all modules of Analog and Digital Communication Trainer. • Completing many research based international online projects to Signal Processing, Image Processing, Machine learning & Communication Systems as follows;  Counting Photo-Receptors in OCT images.  Speech Recognition System using Bayesian Framework.  Filtering of a voice signal using multiple filters.  Modulation & demodulation of Quantized Speech Signal using BPSK, QPSK, 4-QAM, 16-QAM, 32-QAM, 64-QAM.  Oversampling/ Interpolation of the QPSK modulated quantized speech signal.  Generating binary messages using Filtering and Fourier series.  Comparison between theoretical and simulation of 4-PAM.  Comparison of Fourier transform of signals having different sampling rates.  Plot input & output time sequences & their fourier transform sequences of LTI system.  4-bit ALU in Simulink.  5-bit Multiplier in Simulink.  Solar PV, Wind Turbine and Battery interfacing in Simulink.

My Education

Take a look at my formal education

Master of Science (MS) in Electrical Engineering, Signal and Image ProcessingInstitute of Space Technolog | 2015
BS Electronics Engineering, Electronics EngineeringInternational Islamic University | 2011

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