Computer Science Software Engineering

EDUCATION AND TRAINING

[ **/**/**** – **/**/**** ] Master of Science in Computer Science

Comsats University Islamabad

[ 08/03/2016 – 13/09/2020 ] Bachelor of Science (Hons) in Software Engineering National University of modern languages,Islamabad City: Islamabad Country: Pakistan CGPA: 3.46

[ 23/11/2020 – 08/05/2022 ]

[ 07/06/2020 – 25/11/2022 ]

Home : Rehmat Colony, Younas Chowk, Street 1, Opposite Usman Ideal academy, ferozpour road, 54760 Lahore Pakistan

Email: ************@*****.*** Phone: +92-308*******

Phone: +92-303*******

Date of birth: 26/11/1996 Nationality: Pakistani

WORK EXPERIENCE

[ 01/01/2024 – Current ] University computer science lecturer University of south asia, cantt

City: lahore Country: Pakistan

As a dedicated Computer Science Lecturer in the Department of Computer Science, I have extensive experience teaching BSCS students a range of subjects, including UI/UX Design, Introduction to Computing and Social Networks, Web Development with HTML and CSS, and Mobile Application Development, among others. My responsibilities include developing and delivering comprehensive course materials and lectures that are both engaging and informative, fostering a dynamic learning environment. University computer science lecturer (Visiting)

Zohra Institute of health sciences and technology rawalpindi City: rawalpindi Country: Pakistan

As a committed Computer Science Lecturer, I have taught a diverse range of subjects to BSCS students, including UI/UX Design, Introduction to Computing and Social Networks, Web Development with HTML and CSS, and Mobile Application Development. My responsibilities involve developing and delivering engaging lectures, creating comprehensive course materials, and conducting practical lab sessions that provide students with hands-on experience and practical skills. Senior Computer Manager

MSN Enterprises

City: Islamabad Country: Pakistan

As a Senior Computer Manager, one of my primary responsibilities was to develop and manage the IT budget, ensuring that all expenditures aligned with the organization’s strategic goals and financial guidelines. This involved careful planning and analysis to allocate resources effectively across various IT projects and operational needs. I also played a crucial role in maintaining the company's computer systems, which included tasks such as regularly updating passwords, installing security updates, running antivirus software, and performing operating system upgrades to protect against security threats.. https://www.comsats.edu.pk/

City: Islamabad Country: Pakistan CGPA: 3.02

https://www.numl.edu.pk/

Uzma Nisar

[ 12/09/2012 – 14/12/2014 ] Intermediate in Computer Science FBISE, Islamabad https://www.fbise.edu.pk/

City: Islamabad Country: Pakistan

Matric

LANGUAGE SKILLS

Other language(s):

Urdu

LISTENING C1 READING C1 WRITING C1

SPOKEN PRODUCTION C2 SPOKEN INTERACTION B2

English

LISTENING C2 READING C2 WRITING C2

SPOKEN PRODUCTION C2 SPOKEN INTERACTION C2

Levels: A1 and A2: Basic user - B1 and B2: Independent user - C1 and C2: Proficient user

[ 15/10/2010 – 12/12/2012 ]

DIGITAL SKILLS

My Digital Skills

Personal Skills

problem solving time management Good listener and communicator Google Drive Social Media Google Docs Facebook Microsoft Excel Professional Skills

LinkedIn Outlook Microsoft Word Microsoft Office Microsoft Powerpoint Zo om Skype

RESEARCH DIRECTION

Enhanced Pediatric Pneumonia Diagnosis with Chest X-Ray using Deep Attention

[ 12/02/2023 – 03/12/2023 ] Mechanism

The advent of deep learning technologies has revolutionized the field of medical diagnostics, particularly in recent years. This aligns with the findings of the seminal study,

"Enhanced Paediatric Pneumonia Diagnosis with Chest X-Ray Using Deep Attention Mechanism." This research explores the application of Convolutional Neural Networks

(CNNs) combined with an integrated attention mechanism known as CoATNet to enhance the accuracy and responsiveness of pediatric pneumonia diagnosis through chest X-ray analysis. The primary objective of this study is to develop and validate a robust deep learning model capable of detecting subtle pneumonia symptoms in children's chest X- rays. CoATNet's innovative attention mechanism allows the model to prioritize critical areas in the images, thereby enhancing pattern recognition capabilities. This attention- based approach facilitates medical professionals in better understanding the neural components involved in the diagnostic process by making the model's predictions more interpretable. CoATNet demonstrated exceptional performance, achieving a Micro Average of 98.2%, a Weighted Average of 98.7%, and a Model Accuracy of 99.7%. These metrics indicate the model's ability to accurately differentiate between cases of pneumonia and non-pneumonia, even in the presence of class imbalances. RECOMMENDATIONS

Name: Dr Basit Raza Associate Professor

Associate Professor in Comsat University Islamabad Phone number: +92-331*******

E-mail: **************@*****.***

Name: Dr Saif Ur Rehman Malik Associate Professor

Associate Professor in Comsat University Islamabad Phone number: +92-331-*******

E-mail: *******@***.**

City: Islamabad Country: Pakistan

FBISE, Islamabad https://www.fbise.edu.pk/

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