JALEES UR RAHMAN
Data Scientist
Contact Number:
Email Address:
Skype ID:
--jaleeskhani
Location:
PEC Reg. No.:
GitHub Profile:
Lahore, Pakistan
ELECT/80702
https://github.com/jaleeskhani
OBJECTIVE
I want to be a part of an establishment that would enable me to apply my research and technical knowledge
in developing that establishment and provide excellent opportunities for grooming my research, technical,
analytical, and management abilities.
Relevant Skills: Creative, self-motivated, writing communication skills, eager to explore, learn and share.
EDUCATIONAL QUALIFICATION
Qualification
Majors
Institution
Completion Year
Ph.D. in Computer
Engineering
MS in Computer
Engineering
Deep Learning
Medical Imaging
GIK Institute of Engineering
Sciences and Technology, Topi
2020 – Present
Deep Learning
Machine Learning
GIK Institute of Engineering
Sciences and Technology, Topi
2019
Computer
Engineering
COMSATS University
Abbottabad Campus
2017
(with distinction)
BS in Electrical and
Computer Engineering
PROFESSIONAL SKILLS
Proficiency: Data Science, Deep Learning, Machine Learning, Computer Vision, Bioinformatics, Medical Image
Processing, Natural Langauge Processing, Algorithms, Computer Architecture, System’s Logics.
IDEs: MATLAB, Spyder, Jupyter, Google Colab, RStudio, MS Visual Studio, Proteus, MPLAB.
Libraries: MatConvNet, Keras, TensorFlow, scikit-learn, OpenCV, Bioconductor, pandas, pyspark, plotly.
Languages: C, C++, Python, R, MATLAB, LaTeX, Verilog, Assembly.
Relevant Courses: OOP, Microprocessor & Microcontroller, Digital Logic & System Designs, Digital Signal
Processing, Computer Organization, Operating System Concepts, Control Systems, Electric Circuits Analysis,
Electronics, Project Planning Management.
PROFESSIONAL EXPERIENCE
•
Instructor
Sep 2020 – Present
Instructor of Basic Programming Courses at GIKI
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Research Assistant
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Teacher Assistant
Oct 2019 – June 2020
Data Analyst of Cancer Genomics at Precision Medicine Lab, affiliated with NCBC
Sep 2017 – May 2019
Managerial Activities of Senior Project Design (CS481 & CS482)
•
Instructor
Instructed CS101 Lab at GIKI
Sep 2017 – June 2018
RESEARCH AND DEVELOPMENT PROJECTS
Ongoing Project: Brain Activation based Alzheimer’s Disease (AD) Detection using Deep Learning
Research project implementing in Python and MATLAB.
Problem Statement: Due to AD’s progressive and irreversible nature, early detection of the disease is mandatory
and challenging.
Progress: Different modalities of brain imaging are helpful for the early detection of AD. Different stages of the
disease are predicted using structural brain MRI.
Recent Project: Analysis of DNA Methylation Data of Kidney Clear Cell Carcinoma
Research project implemented in Python and R.
Problem Statement: Images data have been analyzed for cancer detection, but textual (genomics) data may have
more information than images.
Results: Analyzed DNA methylation (textual) data of kidney clear cell carcinoma and corroborated that the DNA
methylation pattern in tumor samples is way different than normal samples. Also analyzed that DNA methylation
pattern is different in stages, genders, and ages.
Future Directions: This research can lead towards precise (personal) medicines in the future for cancer patients.
COVID-19 Calculator: Pandemic Predictions based on SEIR Model
Development project implemented in Python and MATLAB.
Implemented COVID-19 pandemic calculator, which predicts peak exposed, infectious, hospitalized, and dead based
on different input parameters. Also indicates the end date of COVID-19.
MS Thesis Research: Motion Fields based Video Classification with Deep Learning
Software-based research project implemented in MATLAB.
Problem Statement: Convolutional Neural Networks (CNNs) performance depends on representational capacity
and the depth of the network, which leads to an increase in inference time and hinders real-time deployment.
Methodology: Block matching algorithms-based motion fields of videos provide a smaller but richer representation
of frames which results in potential acceleration of CNN by decreasing input size and hence the depth of the network.
Results: Resulted in improved accuracy and more than 20× faster inference.
Future Direction: Want to deploy my proposed architecture on hardware.
BS Final Year Project: Wireless Sensors Based Task Migration in Internet of Things
Hardware-based research project implemented in Assembly language using microcontrollers.
Problem Statement: Load balancing is needed when thousands of devices/sensors are interconnected on a local
network.
Methodology: Migration of tasks from local range to global range can control the traffic. We have designed
intelligent algorithms for the microcontroller, which migrate tasks to a cloud in case of load wirelessly.
Other Relevant Projects
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Depression level detection using LSTM for Twitter Data
Sentiment Analysis of Urdu data
Comparison of Different base Machine Learning Models for Intrusion Detection
Breast Cancer Early Diagnosis using Machine Learning
ANN Training using Genetic Algorithm
A New Grouping Genetic Algorithm for Clustering Problems
End-to-end Project Delivery on Cyber-Security Data Analytics
Course Projects
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•
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32-bit RISC Processor
Generic Neural Network in MATLAB
Library Management System
A Graph Application in Visual Studio
Noise Remover in Voice Signals
Digital Stop Watch in Assembly Language
POSTER PRESENTATION
Presented poster entitled “Abnormalities in DNA Methylation: A Biomarker for Kidney Cancer” at BigC’19 held
at LUMS.
AWARDS AND HONORS
•
•
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Scholarship during Ph.D. at GIKI
Scholarship during MS at GIKI
Two Times Dean’s Honor Role Certificate
NON-CREDIT CERTIFICATIONS
Type
Title
Source
Status
Course
Neural Networks and Deep Learning
deeplearning.ai
Completed
Course
Introduction to Data Science in Python
Recent Trends in Artificial Intelligence and
Computer Vision
Deep Learning Specialization
Data Science in Stratified Healthcare and
Precision Medicine
Introduction to Computer Vision with Watson
and OpenCV
University of Michigan
Completed
FSCE, GIKI
Completed
deeplearning.ai
The University of
Edinburgh
In progress
IBM
In progress
Crash Course
Specialization
Course
Course
In progress
OTHER ACTIVITIES
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Freelancing
Management
Online Learning
Programming
Sports
REFFERENCES
Name
Profession
Dr. M. Hanif
Asst. Professor
Dr. Mohammad
Tariq
Director
Dr. Habib Jan
Team Lead
Address
FCSE, GIKI
Topi
FAST NUCES
Peshawar
PML, RMI
Peshawar
Phone
-
Ext. 2504
-
Ext. 124
Email-
-
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