Publications: AIPRL

Thesis/FYPs/Publications at AIPRL

List of PhD Thesis

Sr. No.

Student Name

Title

Supervisor

1

Engr. Muhammad Aqeel

Hyperspectral Imaging-Based Milk Adulteration Detection and Classification Using Machine Learning Techniques

Engr. Dr. Ahmed Sohaib

2

Engr. Muhammad Kamran

Machine Learning based Hyperspectral Imaging for Soil Characterization and Fertility Evaluation in Smart Farming

Engr. Dr. Ahmed Sohaib

List of MS Thesis

Sr. No.

Name of Student

Title

Supervisor

1

Zobia Shahid

Identification of Skin Diseases Using Image Processing

Engr. Dr. Ahmed Sohaib

2

Sidrah Shabbir

Spatial-Spectral based Deep Learning for Hyperspectral

Image Classification to limit Hughes Phenomena

Engr. Dr. Muhammad Ahmed

3

Zainab Saleem

Prediction of Microbial Spoilage and Shelf-Life of Bakery Products through Hyperspectral Imaging

Engr. Dr. Ahmed Sohaib

4

Asma Shehzadi

Automatic Dental Disease Detection in X-Ray Image Using Machine Learning

Engr. Dr. Ahmed Sohaib

5

Hamail Ayaz

Classification of Meat using Hyperspectral Imaging

Engr. Dr. Ahmed Sohaib

6

Hafiz Hussain Khan

Unsupervised Adulterated Red-Chili Powder Classification through Hyperspectral Imaging

Engr. Dr. Ahmed Sohaib

7

Ramsha Farooq

Fake Spectral Signature in Hyper Spectral Imaging

Engr. Dr. Ahmed Sohaib

8

Maheen Zulfiqar

Blood Stain Identification using Hyperspectral Imaging

Engr. Dr. Ahmed Sohaib

9

Mamoona Akmal

Rapid Non-Destructive Hyperspectral Imaging-Based Medicine Expiry Detection and Classification using Ensemble Learning

Engr. Dr. Ahmed Sohaib

10

Hifza Munawer

Hyperspectral Band Selection Approaches for Predicting the Level of Adulteration in Different Oils using ML Techniques

Engr. Dr. Ahmed Sohaib

List of Final Year Projects

FYP Title

Year

Funding Agency

Funds

Qualitative and Quantitative based Milk Contamination Fraud Detection and Classification using Advance ML and HSI Technology

NGIRI 2023-24

Ignite 

PKR 69,612

Hyper spectral imaging based milk adulteration detection and classification using deep learning techniques mobile application

NGIRI 2023-24

Ignite 

PKR 73,492

Hyperspectral Imaging-Based Milk Adulteration Detection and Classification Using Machine Learning Techniques

NGIRI 2022-23

Ignite 

PKR 70,312

AI Based Drinking Water Quality Assessment using FTIR

-

-

-

Real-Time Crop Health Monitoring Using AI-Based Drone Surveillance and YOLOv12

-

-

-

Hyperspectral Band Selection Approaches for Predicting the Level of Adulteration in Different Oils using ML Techniques

-

-

-

An Intelligent Health Assessment System for Crops  and Fruit Using Drone

-

-

-

Medicine Characterization-Based Sorting and Labeling Using Machine Learning

-

-

-

IoT Based Smart  Farming System Using Machine Learning

-

-

-

Automation Delivery Services Robot

-

-

-

Design and Development of Fruit Sorting and Labeling for Quality Assessment using Machine Learning

-

-

-

HPLC with Hyperspectral imaging based milk Adulteration detection & classification using deep learning techniques

-

-

-



List of Publications

 

  1. Spatial Prior Fuzziness Pool-Based Interactive Classification of Hyperspectral Images

Authors: Muhammad Ahmad, Asad Khan, Adil Mehmood Khan, Manuel Mazzara, Salvatore Distefano, Ahmed Sohaib, Omar Nibouche

            https://doi.org/10.3390/rs11091136

           Journal Name: Remote Sensing 

           Impact Factor: 4.2

           Publisher Name: MDPI

  1. Hyperspectral imaging for bloodstain identification

Authors: Maheen Zulfiqar, Muhammad Ahmad, Ahmed Sohaib, Manuel Mazzara, Salvatore Distefano

https://doi.org/10.3390/s21093045

Impact Factor:4.1

Journal Name: Sensors

Publisher: MDPI

  1. Hyperspectral imaging for minced meat classification using nonlinear deep features

Authors: Hamail Ayaz, Muhammad Ahmad, Manuel Mazzara, Ahmed Sohaib

https://doi.org/10.3390/app10217783

Impact Factor:2.5

Journal Name: Applied Sciences

Publisher: MDPI

  1. Hyperspectral imaging for color adulteration detection in red chili

Authors: Muhammad Hussain Khan, Zainab Saleem, Muhammad Ahmad, Ahmed Sohaib, Hamail Ayaz, Manuel Mazzara

https://doi.org/10.3390/app10175955

Impact Factor:2.5

Journal Name: Applied Sciences

Publisher: MDPI

  1. Hyperspectral imaging-based unsupervised adulterated red chili content transformation for classification: Identification of red chili adulterants

Authors: Muhammad Hussain Khan, Zainab Saleem, Muhammad Ahmad, Ahmed Sohaib, Hamail Ayaz, Manuel Mazzara, Rana Aamir Raza

https://doi.org/10.1007/s00521-021-06094-4(0123456789

Impact Factor:    …..

Journal Name: Neural Computing and Applications

Publisher: Springer London

  1. Prediction of microbial spoilage and shelf-life of bakery products through hyperspectral imaging

Authors: Zainab Saleem, Muhammad Hussain Khan, Muhammad Ahmad, Ahmed Sohaib, Hamail Ayaz, Manuel Mazzara

10.1109/ACCESS.2020.3026925 

Impact Factor:3.7

Journal Name: Ieee Access

Publisher: IEEE

  1. Myoglobin-based classification of minced meat using hyperspectral imaging

Authors: Hamail Ayaz, Muhammad Ahmad, Ahmed Sohaib, Muhammad Naveed Yasir, Martha A Zaidan, Mohsin Ali, Muhammad Hussain Khan, Zainab Saleem

https://doi.org/10.3390/app10196862

Impact Factor:2.5

Journal Name: Applied sciences

Publisher: MDPI

  1. Multiclass non-randomized spectral–spatial active learning for hyperspectral image classification

Authors: Muhammad Ahmad, Manuel Mazzara, Rana Aamir Raza, Salvatore Distefano, Muhammad Asif, Muhammad Shahzad Sarfraz, Adil Mehmood Khan, Ahmed Sohaib

https://doi.org/10.3390/app10144739

Impact Factor:2.5

Journal Name: Applied sciences

Publisher: MDPI

 

  1. Unsupervised adulterated red-chili pepper content transformation for hyperspectral classification

Authors: Muhammad Hussain Khan, Zainab Saleem, Muhammad Ahmad, Ahmed Sohaib, Hamail Ayaz

https://doi.org/10.48550/arXiv.1911.03711

 Impact Factor: …….

Journal Name: arXiv preprint arXiv:1911.03711

Publisher:  ……..

  1. Milk adulteration identification using hyperspectral imaging and machine learning

Authors: Muhammad Aqeel, Ahmed Sohaib, Muhammad Iqbal, Syed Sajid Ullah

https://doi.org/10.3168/jds.2024-25635

Impact Factor:3.7

Journal Name: Journal of Dairy Science

Publisher: Elsevier

 

  1. Hyperspectral Identification of Milk Adulteration Using Advance Deep Learning

Authors: Muhammad Aqeel, Ahmed Sohaib, Muhammad Iqbal, Syed Sajid Ullahd

10.1109/ACCESS.2024.3504334

Impact Factor:  ……

Journal Name: IEEE Access

Publisher: IEEE

  1. Hyperspectral identification of oil adulteration using machine learning techniques

Authors: Furqan Rustam Muhammad Aqeel, Ahmed Sohaib, Muhammad Iqbal, Hafeez Ur Rehman

10.1016/j.crfs.2024.100773

Impact Factor: 6.2

Journal Name: Journal of Current Research in Food Science

Publisher: ELSEVIER

  1. Unsupervised adulterated red-chili pepper content transformation for hyperspectral classification

Authors: Muhammad Hussain Khan, Zainab Saleem, Muhammad Ahmad, Ahmed Sohaib, Hamail Ayaz

10.48550/arXiv.1911.03711

Impact Factor: …..

Journal Name: arXiv e-prints

Publisher: ….