Admission Office : 0992811720. Examination Office : 0992922550 , 922551
Admission Office : 0992811720. Examination Office : 0992922550 , 922551

Dr. Muhammad Zeeshan

Dr. Muhammad Zeeshan

Position: Assistant Professor

Research Domains

Video compression
Digital images processing
Machine learning
Information security

List of thesis supervised, Click to download

Final Year Projects (FYP) Supervision by Dr. Muhammad Zeeshan:

S# FYP Title Student Group
1 Light For Blinds Syed Abbas Shahbaz Ali
2 Computer Vision-Based Driver Monitoring System By Using Internet Of Things (IoT) To Avoid Drowsiness Related Accidents Jawad Khan
3 Deep Packet Inspection Muhammad Tahir Raja Muhammad Awais Turk
4 AI based ATS friendly Resume Generated App Abrar Sardar Fahad Jadoon
5 Face Recognition Based Attendance System For Aust Usman Khalid Muhammad Aown Rafaqat
6 Violence Prediction Model Real-Time Muhammad Jazzlan Haris Jadoon
7 Plant Disease Detection Mudassar Khan Ihtisham Ali
8 AI-Voice Assistant Saad Ahmad Muhammad Atif
9 Face Recognition Attendance System Usama Aijaz Irfan Touryaly
10 Currency Note Identification App Ifrah Tahir Rubab Ejaz
11 Real Time Facial Based Recommendation System Nadia Noor Nazia Ayub
12 AI Based Cosmetics Recommendation System Shazar Asghar Sohail Asghar

 

 

 

MS Thesis Supervision by Dr. Muhammad Zeeshan:

S#s Student Topic
1 Wasal Ahmed Khan Deep Packet Inspection For Network Intrusion Detection System Using Deep Learning
2 Shahroz Khan

 

Enhancing Payload And Security In Video Steganography Using Convolutional Neural Networks
3 Faria Bibi Digital Documents Quality Enhancement Using Generative Adversarial Network
4 Jamshaid Jhangir Identification Of Abnormal Behavior Of Sensor Devices In Smart City
5 Usama Ali Network Traffic And Flow Classification Using Deep Neural Networks
6 Assad Iqbal Network Traffic Identification And Classification Using Machine Learning
7 Muddassar Ali Building Image Translation Using Generative Adversarial Networks
8 Kamran Ahmed Anomaly Detection in Internet of Things Networks Using Artificial Intelligence and Blockchain
8 Firdous Khan Multi-Image Steganography Using Deep Neural Networks
9 Hammad Shah A Generative AI Framework for High-Capacity Image Steganography with Minimal Visual Distortion
10 Faeza Mushtaq Anomalies Detection In Encrypted Internet Of Things Traffic Using Deep Neural Networks
11 Safeer Un Nisa A Hybrid Deep Learning Framework for Advanced Persistent Threats Detection in  Internet of Things Networks
12 Mahzaib Synthetic Threat Generation using Large Language Models/ Generative AI
13 Naila Zainab A Framework for Intelligent Automated Penetration Testing Using Large Language Models
14 Aqsa Sohrab A Large Language Model-Driven Approach to Phishing Detection and Cyber Threat Intelligence
15 Hina Nazir Enhancing Security Information and Event Management Systems using Large Language Models for Automated Threat Intelligence
16 Muhammad Abid Generative AI for Synthetic Workload Generation in Lightweight Cryptography Testing