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Prof. Dr. Shazia Saqib

Dean & Professor

Pro Vice Chancellor’s Message

Academic Degrees

Ph.D (CS) - Deep Learning, GC University Lahore - 2019

MS(CS) - GC University Lahore - 2009

MSc - Quaid-e-Azam University - 1993

ACADEMIC APPOINTMENT

  • Associate Professor, University of Central Punjab – 2022-2024
  • Associate Professor & Dean CS, Lahore Garrison University – 2019-2022
  • Assistant Professor & Dean CS, Lahore Garrison University – 2013-2019
  • Assistant Professor & HoD CS, Lahore Garrison University – 2008-2013
  • Assistant Professor, G.C. University Lahore – 2000-20071994-1999
  • Dy. Director Computer, Institute of Cost and Management Accountants of Pakistan, Lahore – 1994-1999

Research Publications

Towards secure FinTech: A survey, taxonomy, and open research challenges

S Mehrban, MW Nadeem, M Hussain, MM Ahmed, O Hakeem, S Saqib, …

IEEE Access 8, 23391-23406

Effective demand forecasting model using business intelligence empowered with machine learning

MA Khan, S Saqib, T Alyas, AU Rehman, Y Saeed, A Zeb, M Zareei,

IEEE Access 8, 116013-116023

Intelligent routing between capsules empowered with deep extreme machine learning technique

NS Naz, MA Khan, S Abbas, A Ather, S Saqib

SN Applied Sciences 2 (1), 1-10

Diagnosis heart disease using Mamdani fuzzy inference expert system

I Naseer, B Khan, S Saqib, S Tariq, M Akhter

EAI Endorsed Transactions on Scalable Information Systems 7 (26)

Forecast the influenza pandemic using machine learning

MA Khan, WUH Abidi, MA Al Ghamdi, SH Almotiri, S Saqib, T Alyas, …

TECH SCIENCE PRESS

Roman Urdu news headline classification empowered with machine learning

RA Naqvi, MA Khan, N Malik, S Saqib, T Alyas, D Hussain

Comput. Mater. Contin 65, 1221-1236

Intelligent dynamic gesture recognition using CNN empowered by edit distance

S Saqib, A Ditta, MA Khan, SAR Kazmi, H Alquhayz

Tech Science Press

Recognition of static gestures using correlation and cross-correlation

S Saqib, SAR Kazmi

Int. J. Adv. Appl. Sci 5 (6), 11-18

Repository of static and dynamic signs

S Saqib, SAR Kazmi

International Journal of Advanced Computer Science and Applications 8 (11)

Diagnosing the stage of hepatitis C using machine learning

MB Butt, M Alfayad, S Saqib, MA Khan, M Ahmad, MA Khan, …

Journal of Healthcare Engineering 2021

Analysis of the Smart Player’s Impact on the Success of a Team Empowered with Machine Learning

MA Khan, M Habib, S Saqib, T Alyas, KM Khan, MA Al Ghamdi, …

Tech Science Press

Video summarization for sign languages using the median of entropy of mean frames method

S Saqib, SAR Kazmi

Entropy 20 (10), 748

Automatic sign language recognition: Performance comparison of word based approach with spelling based approach

S Saqib, SAR Kazmi, K Masood, S Alrashed

International Journal of Advanced Computer Science and Applications 9 (5)

Big Data Management of Hospital Data using Deep Learning and Block-chain Technology: A Systematic Review

N Ejaz, R Ramzan, T Maryam, S Saqib

EAI Endorsed Transactions on Scalable Information Systems 8 (32)

Circle Detection Using Morphological Operations

S Saqib

Lahore Garrison University Research Journal of Computer Science and …

Image segmentation using marker-controlled watershed transformation and morphology

H Shabbir, H Bibi, S Aamir, MS Saqib, MN Afshan

Lahore Garrison University Research Journal of Computer Science and …

A Unified Framework for Encryption and Decryption of Images Based on Autoencoder (UFED)

M Azeem, S Saqib, F Sadiq

International Journal 10 (3)

An analysis of security challenges and their perspective solutions for cloud computing and IoT

M Muhammad, T Alyas, F Ahmad, F Butt, W Qazi, S Saqib

EAI Endorsed Transactions on Scalable Information Systems 8 (30)

Drift Analysis based Complexity: REST & BULKAPI based Data Accessing System Model

N Hassan, S Latif, M Usama, M Armaghan, S Saqib, T Alyas, MA Khan

INT JOURNAL COMPUTER SCIENCE & NETWORK SECURITY-IJCSNS

University Information with LMS Facilities for Pupils and Lecturers in a PinBoard Android Mobile Application

B Abbas, A Ali, MA Khan, S Saqib, S Naseem

INT JOURNAL COMPUTER SCIENCE & NETWORK SECURITY-IJCSNS

Drift Analysis for MPSO based MUD

TA Riaz, S Saqib

IJCSNS 20 (1), 187

Gesture Recognition for Dynamic Signs for Urdu Language

S Saqib

Government College University, Lahore

Automated Food Ordering System

S Saqib

Lahore Garrison University Research Journal of Computer Science and Information Technology

Hashing Based Software Watermarking for Source Code Files

S Saqib, AR Kazmi, S Alrashed

Lahore Garrison University Research Journal of Computer Science and …

Image Segmentation by Using Threshold Techniques

MA Atta, M Imtiaz, A Hassan, S Saqib

Lahore Garrison University Research Journal of Computer Science and Information Technology

DATASET FOR AMERICAN SIGN LANGUAGE

S Saqib

Lahore Garrison University Research Journal of Computer Science and Information Technology

Effects of Mobile Phone Radiation on Human Health

S Saqib

Lahore Garrison University Research Journal of Computer Science and Information Technology

Projects Worked on

Project Title: “Information Retrieval System using RAG

Role: Lead Researcher

Description: Developed a retrieval-augmented generation system that improved search accuracy.

 

Project Title: “Predictive Analytics for Healthcare Data

Role: Lead Researcher

Description: Applied machine learning models to predict patient outcomes, leading to an increase in predictive accuracy.

 

Project Title: “Job Recommendation System”

Lead Data Scientist

Description: Developed a personalized job recommendation system using machine learning algorithms to match job seekers with relevant job openings. The system analyzed user profiles and job descriptions, achieving a 25% increase in match accuracy and improving user satisfaction with job recommendations.

 

Project Title: “Intrusion Detection System

Role: Lead Researcher

Description: Developed a machine learning-based intrusion detection system that achieved a better detection rate and reduced false positives, enhancing network security.

 

Project Title: “Flow-Based Network Traffic Monitoring

Role: Lead Researcher

Description: Created a flow-based network monitoring framework that improved network management efficiency through advanced analytics and anomaly detection.

 

Project Title: “Human Activity Recognition

Role: Lead Data Scientist

Description: Designed algorithms for human activity recognition using sensor data, achieving better classification accuracy for applications in healthcare and smart home automation.

 

Project Title: “Facial Expressions Recognition

Role: Lead Researcher

Description: Implemented deep learning models to recognize facial expressions with approximately 90% accuracy, useful in human-computer interaction and security.

 

Project Title: “Hand Gesture Recognition

Role: Lead Researcher

Description: Developed a hand gesture recognition system using CNN and image processing, achieving 88% accuracy.

 

Project Title: “Cyst Detection and Classification Using Hyperspectral Imaging

Role: Lead Researcher

Description: Developed a hyperspectral imaging-based system for cyst detection, improving diagnostic accuracy for early disease detection.

 

Project Title: “Bank Fraud Detection

Role: Lead Data Scientist

Description: Created a bank fraud detection system using machine learning, achieving better detection rate and significantly reducing false positives to enhance transaction security.

Biography

Dr. Shazia Saqib holds a PhD in Deep Learning from GC University Lahore.  She is an honorary Research Fellow at INTI International  University Malaysia. She is an M.Sc.  Computer Science from  Quaid-e-Azam University. She has an experience in teaching for the last 32  years in well-reputed universities and institutions like GC University, Punjab University, University of Central Punjab, Lahore Garrison University, Institute of Cost and Management Accountants of Pakistan, and the National School of Public Policy.  She has taught different courses that include Deep Learning, Machine Learning, Data Mining, Digital Image Processing,  Algorithms, Data Structures & Algorithm Design, Assembly Language Programming, Operating Systems and Object-Oriented Programming.  Her research interest is in Video Summarization and Recognition, Semantic Segmentation, Digital Health, and Sports Analytics.

Courses Taught

  • Deep Learning
  • Machine Learning
  • Programming for Bigdata
  • Digital Image Processing
  • Algorithm Analysis and Design
  • Data Structures
  • Computer Organization and Assembly Language Programming
  • Object-Oriented Programming
  • Introduction to Programming