PhD STUDENTS
Imran Usman
Digital Watermarking Using Machine Learning Approaches (Completed in 2010)
Rafi Ullah
Digital Watermarking for Image Authentication and Recovery (Completed in 2010)
Maqsood Hayat
Prediction of Membrane Proteins Using Machine Learning Approach (Completed in 2012)
Zia-ur-Rehman
Classification of G Protein Coupled Receptors (Completed in 2013)
Sana Ambreen
Study of Intelligent Reversible Watermarking (Completed in 2013)
Muhammad Tahir
Protein Subcellular Classification using Machine Learning Approaches (Completed in 2014)
Khurram Jawad
Multimedia Watermarking Using Intelligent Techniques (Completed in 2015)
Adnan Idris
Customer Churn prediction using Computational Intelligence (Completed in 2015)
Ayesha Siddiqa
Reversible Watermarking Based on Histogram Shifting and Error Expansion (Completed in June 2016)
Summuyya Munib
Study of Watermarking Approaches for Image and Text Based Applications (Completed in Nov 2017)
Iqbal Murtaza
Human Detection and Activity Recognition in Videos (Completed in Dec 2017)
Noorul Wahab
Histopathology Images Based Breast Cancer Analysis Using Deep Neural Networks
Naveed Chouhan
Deep Neural Network Based classification Using Highway Network Architecture
Aqsa Saeed
Transfer Learning in Deep Neural Networks
Um-e-Zahoora
Intrusion Detection using Deep Neural Networks
Saddam Hussain
Automatic Segmentation of Supraspinatus Muscle using MRI and Deep Convolutional Neural Network
PhD STUDENTS CO-SUPERVISED
Naeem Akhter
Visual Tracking of Mechanically Thrown Planer Objects, Institute of Computer Technology, Vienna University of Technology, Austria, 2012. (Completed)
Mehdi Hasan
Study of Computer Aided Diagnostic for Medical Image Segmentation (Completed in 2015)
Muhammad Safdar
Intelligent Decision Making Ensemble Classification System for Breast Cancer Prediction (Completed in 2015)
Saima Rathore
Automatic Segmentation and Classification of Colon Biopsy Images (Completed in 2015)
Anabia Sohail
Breast Cancer Analysis Using Histopathology Images and Deep Convolutional Neural Networks
Anum Mushtaq
Security Design for Industry 4.0
Mumtaz
Brain Tumor Analysis using Deep Neural Networks
MS STUDENTS
Awais Masoud
Reversible Image Watermarking of MRI Images
Nosherwan Ali
Image Restoration Using Computational Intelligence
Nusrah Hussain
Image Based Object Tracking Using Computational Intelligence
Namra Aftab
Computer Vision Based Intruder Detection
Azmat Tanvir
Browse Back Post Event Analyzer
Raheel Zia
Intelligent Image Watermarking Using Swarm Intelligence
Jan Alam
Fuzzy RBFNN Based Carotid Artery Extraction from CT Scan Images
Muhammad Kashif
Prediction of Thar Coal Combustion Characteristics Using Artificial Neural Network
Muhammad Waqas
Noise Detection and Estimation in Digital Images
Muhammad Umair Gul
Reversible Watermarking Based on Invariant Image Classification and Dynamic Histogram Shifting
Muhammad Danish Nassem
Robust and Reversible Image Watermarking Using Clustering Algorithm
Kamran
Computational Intelligence Based Reversible Image Watermarking
Faheem Ullah
Reversible Watermarking for Electronic Medical Record (EMR) Systems
Duraid Abdullah
Object Recognition by Exploiting Characteristics of Brain Cortex
Khawaja M. Asim
Anomaly Detection in Videos for Security Purposes
M. Talhah Mirza
Developing an Image Watermarking Technique Robust to Print-Scan Attack
Qadeer Ahmed
Smartphone Based Image Watermarking Technique for Preventing Forgery
Junaid Arshad
Short-term Wind Power Prediction Through CI for Steady Power Provision
M. Tariq Bashir
Identifying Local Behaviors in Crowded Scenes
Furqan Mir
Computational Intelligence Based Optimization of Fuel Arangement of a Nuclear Reactor
Noorul Ain
Mitosis Detection in Breast Cancer Histopathology Images Using Hybrid Feature Space
Awais Rehman
Computer Aided Diagnosis (CAD) Based Breast Cancer Detection
M. Islam
Churn Prediction Using GP-AdaBoost Ensemble of Class Classifiers
Sajjad Jamil
Developing Accurate Churn Prediction Model with Comprehensibility and Intuitive Feedback
Iqra Chaudhary
Big Data Analytics for Enterprise Revenue Optimization
Amna Ali
Feature Selection and Classification of Churners for Telecom Industry
Uzair Ahmed
Churn Prediction Analysis Using Deep Neural Networks Based Ensemble
Arsalan Amjad
Developing a Classification System for Raman Spectroscopy Based Analysis of Milk and Dairy Products
Tooba Qasim
Detection of SS7 Attack Using NFV Application
Javed Iqbal
Wind Power Prediction Using LSTM
M. Abbas
Extracting Signals of Higgs Boson from Background Noise using Deep Neural Networkn
Warfana Ali
Breast Cancer Detection using Deep Learning and Histopathological Images
Huniya Sohail
Acoustic Objects Detection, Localization and Classification
Aqsa Kiran
Reverse Image Search: Techniques Implementation and Comparison
BS STUDENTS
Arslan Ashraf
Development of Ransomware Detection System using Deep Neural Networks and Transfer Learning
Abdul Aziz
Development of Ransomware Detection System using Deep Neural Networks and Transfer Learning
M.Furqan Rafique
Malware detection using Machine Learning
Muhammad Ali
Malware detection using Machine Learning
Mudasser Afzal
Automatic Segmentation of Supraspinatus Tendon from MRI of Human Shoulder
Mansor Ahmad
Automatic Segmentation of Supraspinatus Tendon from MRI of Human Shoulder
Muhammad Burhan
Breast Cancer Classification using Histopathological Images and Channel Boosted Convolutional Neural Networks
Masoud Tarar
Raspberry Pi based Development of Driver’s Drowsiness Detector using Lightweight Deep Convolutional Neural Networks
Suleman Rashid
Raspberry Pi based Development of Driver’s Drowsiness Detector using Lightweight Deep Convolutional Neural Networks
M. Faique
Vision Based Drowsiness Detector for Real Driving Conditions
S. Ahmad
Vision Based Drowsiness Detector for Real Driving Conditions
M. Anwaar Nabit
Vision Based Drowsiness Detector for Real Driving Conditions
Abu Bakr Bajwa
Vision Based Drowsiness Detector for Real Driving Conditions
Muhammad Arslan
Intelligent Selection of Wavelet Coefficients for Reversible Watermarking of Medical Images
Tariq Habib Afridi
Automatic Prediction of Mitochondrial proteins
Muhammad Naveed
Multi-level GPCRs Classification using Protein Sequences and Machine Learning Approaches
Muhammad Rizwan
Churn Prediction in Telecommunication using Data Mining and Machine Learning Approache
Abdul Qadir
DNA Sequence Watermarking using Compression, Encryption and BCH Coding
Muhammad Danish Naseem
Watermarking of Biometric Images for Template Protection
Faheem Ullah
Protection of Relational Database using Watermarking
Sarah Naeem
Employing Grayscale Morphological Reconstruction to Identify Candidate Airways on CT Slides of Lungs
Qadeer Ahmad
Image Denoising using Hybrid Intelligent System based on Genetic Programming and Particle Swam Optimization
Najeebullah Khan
Wind Power Prediction using ANN and Evolutionary Algorithms
Muhammad Tayyeb Mirza
Prediction of Mitochondrial Proteins of Malaria Parasites using Machine Learning
Ibbad Hafeez
Developing a Robust System for Watermarking of DNA sequences
Maryam Ihtesham
Computational Intelligence based Medical Decision system for Identification of Carotid Artery Abnormalities
Huma Shehwa
Computational Prediction of Eukaryotic Subcellular Localization
Adnan Shabbir
Identification of Vascular Diseases from Carotid Artery Ultrasound Images using Intelligent Decision System
Kashifa Kiran
Identification of Vascular Diseases from Carotid Artery Ultrasound Images using Intelligent Decision System
Maham Zafar
Identification of Vascular Diseases from Carotid Artery Ultrasound Images using Intelligent Decision System
Wasim Akram
Identification of Vascular Diseases from Carotid Artery Ultrasound Images using Intelligent Decision System
BS STUDENTS CO-SUPERVISED
Adnan Shabir, Kashifa Kiran, Maham Zafar, and Wasim Akram
Identification of Vascular Diseases from Carotid Artery Ultrasound Images Using Intelligent Decision System
Faculty of Software Engineering,
Foundation University,
Rawalpindi, 2011
Huma Shehwana
Computational prediction of Eukaryotic protein sub-cellular Location
Deparment of Enviromental Sciences,
Faculty of Basis and Applied Sciences,
International Islamic University,
Islamabad, 2011
Saira Tariq, and Zunaira Rauf
Predicting Piwi-interacting RNA (piRNA) Using Machine Learning Techniques
Department of Bioinformatics and Biotechnology,
Faculty of Basic and Applied Sciences,
International Islamic University,
Islamabad, 2013