Optimization Techniques Group

Introduction

Team Members

Group members who always work hard to provide quality teaching & Research.

Publications

  1. Rafique, Muhammad, Javid Iqbal, Kashif Javed Lone, Adil Aslam Mir, Kimberlee Jane Kearfott, Amjad Iqbal, Shahzad Ahmad Qureshi, Shahab Ahmad Abbasi, and Dimitrios Nikolopoulos. "Multifractal detrended cross-correlation analysis of radioactivity borne radon, thoron and meteorological time series." Physica A: Statistical Mechanics and its Applications 607 (2022): 128214.. View
  2. Hussain, Lal, Shahzad Ahmad Qureshi, Amjad Aldweesh, Jawad ur Rehman Pirzada, Faisal Mehmood Butt, Elsayed Tag Eldin, Mushtaq Ali, Abdulmohsen Algarni, and Muhammad Amin Nadim. "Automated breast cancer detection by reconstruction independent component analysis (RICA) based hybrid features using machine learning paradigms." Connection Science 34, no. 1 (2022): 2784-2806.. View
  3. Adil Aslam Mir; Fatih Vehbi Celebi; Hadeel Alsolai; Shahzad Ahmad Qureshi; Muhammad Rafique; Jaber S. Alzahrani; Hany Mahgoub; Manar Ahmed Hamza, “Anomalies Prediction in Radon Time Series for Earthquake Likelihood Using Machine Learning-Based Ensemble Model”, IEEE Access, 2022. View
  4. Shahzad Ahmad Qureshi; Lal Hussain; Haya Mesfer Alshahrani; Syed Rahat Abbas; Mohamed K Nour; Nayabb Fatima; Muhammad Imran Khalid; Huniya Sohail; Abdullah Mohamed; Anwer Mustafa Hilal, “Gunshots Localization and Classification Model Based on Wind Noise Sensitivity Analysis Using Extreme Learning Machine”, IEEE Access, 2022. View
  5. Shahzad Ahmad Qureshi; Wesley Wei-Wen Hsiao; Lal Hussain; Haroon Aman; Trong-Nghia Le; Muhammad Rafique, “Recent Development of Fluorescent Nanodiamonds for Optical Biosensing and Disease Diagnosis”, Biosensors, 2022. View
  6. Shahzad Ahmad Qureshi, “Quantitative auto-fluorescence quenching of free and bound NADH in HeLa cell line model with Carbonyl cyanide-p-Trifluoromethoxy phenylhydrazone (FCCP) as quenching agent”, Photodiagnosis and Photodynamic Therapy,2022. View
  7. Shahzad Ahmad Qureshi; Lal Hussain; Qurat-ul-ain Chaudhary; Syed Rahat Abbas; Raja Junaid Khan; Amjad Ali; Ala Al-Fuqaha, “Kalman Filtering and Bipartite Matching Based Super-Chained Tracker Model for Online Multi Object Tracking in Video Sequences”, Applied Sciences, 2022. View
  8. Aqsa Kiran; Shahzad Ahmad Qureshi; Asifullah Khan; Sajid mahmood; Muhammad Idrees; Aqsa Saeed; Muhammad Assam; Mohamad Reda A. Refaai; Abdullah Mohamed, “Reverse Image Search Using Deep Unsupervised Generative Learning and Deep Convolutional Neural Network”, Applied Sciences, 2022. View
  9. Mirza Mumtaz Zahoor; Shahzad Ahmad Qureshi; Asifullah Khan; Aziz ul Rehman; Muhammad Rafique, “A novel dual-channel brain tumor detection system for MR images using dynamic and static features with conventional machine learning techniques”, Waves in Random and Complex Media, 2022. View
  10. Hanan Abdullah Mengash; Lal Hussain; Hany Mahgoub; A. Al-Qarafi; Mohamed K Nour; Radwa Marzouk; Shahzad Ahmad Qureshi; Anwer Mustafa Hilal, “Smart Cities-Based Improving Atmospheric Particulate Matters Prediction Using Chi-Square Feature Selection Methods by Employing Machine Learning Techniques”, Applied Artificial Intelligence, 2022. View
  11. Mumtaz Zahoor; Shahzad Ahmad Qureshi; Sameena Bibi; Saddam Hussain Khan; Asifullah Khan; Usman Ghafoor; Muhammad Raheel Bhutta, “A New Deep Hybrid Boosted and Ensemble Learning-Based Brain Tumor Analysis Using MRI”, Sensors,2022. View
  12. Shahzad Ahmad Qureshi; Shan E. Ahmed Raza; Lal Hussain; Mohamed K. Nour; Aziz ul Rehman; Fahd; Anwer Mustafa Hilal, “Intelligent Ultra-Light Deep Learning Model for Multi-Class Brain Tumor Detection”, Applied Sciences, 2022. View
  13. Muhammad Rafique; Javid Iqbal; Syed Ahsin Ali Shah; Aftab Alam; Kashif Javed Lone; Adnan Barkat; Muhammad Ali Shah; Shahzad Ahmad Qureshi; Dimitrios Nikolopoulos, “On fractal dimensions of soil radon gas time series”, Journal of Atmospheric and Solar-Terrestrial Physics, 2022. View
  14. Shahzad Ahmad Qureshi; Aziz Ul Rehman; Adil Aslam Mir; Muhammad Rafique; Wazir Muhammad, “Simulated Annealing-Based Image Reconstruction for Patients With COVID-19 as a Model for Ultralow-Dose Computed Tomography”, Frontiers in Physiology, 2022. View
  15. Syed Taimoor Hussain Shah; Shahzad Ahmad Qureshi; Aziz ul Rehman; Syed Adil Hussain Shah; Arslan Amjad; Adil Aslam Mir; Amal Alqahtani; David A. Bradley; Mayeen Uddin Khandaker; Mohammad Rashed Iqbal Faruque et al., “A Novel Hybrid Learning System Using Modified Breaking Ties Algorithm and Multinomial Logistic Regression for Classification and Segmentation of Hyperspectral Images”, Applied Sciences,2021. View
  16. Aziz ul Rehman; Shahzad Ahmad Qureshi, “A review of the medical hyperspectral imaging systems and unmixing algorithms’ in biological tissues”, Photodiagnosis and Photodynamic Therapy, 2021. View
  17. Syed Taimoor Hussain Shah; Shahzad Ahmad Qureshi; Aziz ul Rehman; Syed Adil Hussain Shah; Jamal Hussain, “Classification and Segmentation Models for Hyperspectral Imaging - An Overview”, Communications in Computer and Information Science,2021. View
  18. Maroof, Noorulain; Khan, Asifullah; Qureshi, Shahzad Ahmad; ul Rehman, Aziz; Khalil, Rafiullah Khan; Shim, Seong-O, “Mitosis detection in breast cancer histopathology images using hybrid feature space”, Photodiagnosis and Photodynamic Therapy, 2020. View
  19. Aziz ul Rehman; Iftikhar Ahmad; Shahzad Ahmad Qureshi, “Biomedical Applications of Integrating Sphere: A Review”, Photodiagnosis and Photodynamic Therapy, 2020. View
  20. Shahzad Ahmad Qureshi; Aziz ul Rehman, “Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations”, Photodiagnosis and Photodynamic Therapy, 2020. View
  21. Aziz ul Rehman; Shahzad Ahmad Qureshi, “The role of primary and secondary bio-molecules in optical diagnosis of pandemic COVID-19 outbreak”, Photodiagnosis and Photodynamic Therapy, 2020. View
  22. Syed Taimoor Hussain Shah; Syed Gibran Javed; Abdul Majid; Syed Adil Hussain Shah; Shahzad Ahmad Qureshi, “Novel Classification Technique for Hyperspectral Imaging using Multinomial Logistic Regression and Morphological Profiles with Composite Kernels”, 16th International Bhurban Conference on Applied Sciences and Technology (IBCAST), 2019. View
  23. Anabia Sohail; Saranjam Khan; Rahat Ullah; Shahzad Ahmad Qureshi; Muhammad Bilal; Asifullah Khan, “Analysis of hepatitis C infection using Raman spectroscopy and proximity based classification in the transformed domain”, Biomedical Optics Express, 2018. View
  24. S A Qureshi; S M Mirza; N M Rajpoot; M Arif, “Hybrid Diversification Operator-Based Evolutionary Approach Towards Tomographic Image Reconstruction”, IEEE Transactions on Image Processing, 2011. View
  25. Shahzad Ahmad Qureshi; Sikander M. Mirza; M. Arif, “Hybrid simulated annealing image reconstruction for transmission tomography”, Inverse Problems in Science and Engineering, 2009. View
  26. Shahzad Ahmad Qureshi; Sikander M. Mirza; M. Arif, “Optimization of Projections for Parallel-Ray Transmission Tomography Using Genetic Algorithm”, Wireless Networks, Information Processing and Systems, 2008. View
  27. Shahzad Ahmad Qureshi; Sikander M. Mirza; M. Arif, “A Template Based Continuous Genetic Algorithm for Image Reconstruction”, IEEE International Multitopic Conference, 2007 . View
  28. Shahzad Ahmad Qureshi; Sikander M. Mirza; M. Arif, “Determination of optimal number of projections and parametric sensitivity analysis of operators for parallel-ray transmission tomography using hybrid continuous genetic algorithm”, International Journal of Imaging Systems and Technology, 2007. View
  29. Shahzad Ahmad Qureshi, “Effect of number of of projections on inverse radon transform based image reconstruction by using filtered back-projection for parallel beam transmission tomography”, Science International, 2007. View
  30. Qureshi, Shahzad Ahmad; Mirza, Sikander M.; Arif, M., “Fitness function evaluation for image reconstruction using binary genetic algorithm for parallel ray transmission tomography”, Second International Conference on Emerging Technologies, Proceedings, 2006. View
  31. Shahzad Ahmad Qureshi, “Quality of Inverse Radon Transform-Based Image Reconstruction Using Various Frequency Domain Filters in Parallel Beam Transmission Tomography”, Science International, 2006. View
  32. Shahzad Ahmad Qureshi; Sikander M. Mirza; M. Arif, “Inverse Radon Transform-Based Image Reconstruction using Various Frequency Domain Filters in Parallel Beam Transmission Tomography”, Student Conference on Engineering Sciences and Technology, 2005. View

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