- Our Faculties
- Muhammad Sultan Zia
Muhammad Sultan Zia (he/him )
Academic Position:
Professor
Teaching Interests:
Machine Learning, Computer Vision, Data Science, IoT, and Image Processing.
Fields of Research (FoR):
Machine Learning, Computer Vision, Data Science, IoT, and Image Processing.
Keywords:
Research, Competent, Leader, Post Ph.D., etc.
Department:
Contact Details:
- Email: ziactn@gmail.com, sultan.zia@cs.uol.edu.pk, hod.grt@cs.uol.edu.pk
- Mobile No: +92 3222112333, +92 3455890109
- Landline/Extension: +92 533 111 243 622 / 147
- Office Location: Department of Computer Science. The University of Chenab, Gujrat, Pakistan.
- Website
Social Links
- ResearchGate
- Google Scholar
Student Advising Schedule:
Mon-Fri 2:00 pm to 5:00 pm
Total Experience
17+ Years
BIOGRAPHY
Prof. Dr. M. Sultan Zia received MS-CS and Ph.D. degrees in computer vision and machine learning from FAST-National University of Computer and Emerging Sciences, Islamabad in 2008 and 2016, respectively. Earlier, he did his MCS from International Islamic University, Islamabad in 2005. He has 27 total publications in HEC Recognized journals and conferences with 20 international impact factored journal papers, 04 ISI & Scopus indexed journals, 02 Conference papers, and one Book chapter. Prof. Dr. M. Sultan Zia has an immense teaching, research, development, and administrative experience. He has 17+years of total teaching and research experience at the university level and 4.5 years of industrial (software development & team lead) experience. He also has HEC/NCEAC accreditation experience for graduate and undergraduate programs. Currently, Prof. Dr. M. Sultan Zia is working as a Professor / Chairperson of the Department of Computer Science at The University of Chenab, Gujrat, Pakistan.
ACADEMIC APPOINTMENTS
No. | Designation | School/Institute/University | Duration |
1. | Professor | The University of Chenab, Gujrat, Pakistan. | May. 2022 to Date |
2. | HoD / Associate Professor | The University of Lahore, Chenab Campus, Gujrat, Pakistan. | Oct. 2018 to Apr. 2022 |
3. | Head of IT Department / AP | COMSATS University, Sahiwal Campus, Pakistan. | Dec. 2012 to Oct. 2018 |
4. | Assistant Professor | NFC Institute of Engineering and Fert. Research, Faisalabad, Pakistan | Aug. 2009 to Dec. 2012 |
5. | Senior Technical Consultant Microsoft Technologies | Geek’s Computer Innovative Knowledge, Islamabad, Pakistan | Mar. 2006 to Jul. 2009 |
6. | Software Engineer | Silver Technologies, Islamabad, Pakistan | Feb. 2005 to Mar. 2006 |
7. | Visiting Lecturer | International Islamic University, Islamabad, Pakistan. | Fall 2005 to spring 2009 |
MY QUALIFICATIONS
No. | Degree / Program of Study Name | Awarding Body/University/Institute | Passing Year |
1. | Ph.D. / Computer Vision and Machine Learning | National University of Computer And Emerging Sciences, Islamabad, Pakistan | 2016 |
2. | MS – Computer Sciences | National University of Computer And Emerging Sciences, Islamabad, Pakistan | 2008 |
3. | Masters (MCS) – Computer Sciences | International Islamic University, Islamabad, Pakistan | 2005 |
4. | Bachelors – Double Maths, Statistics | Islamia University Bahawalpur, Pakistan | 2001 |
MY RESEARCH ACTIVITIES: JOURNALS ARTICLES / BOOK CHAPTERS / PATENTS
No. | Title | Details |
1. | Morphological gradient based adapted selective filter for removal of rician noise from magnetic resonance images | M. Sultan Zia, M. Arfan Jaffar, Tae-Sun Choi. "Morphological gradient based adapted selective filter for removal of rician noise from magnetic resonance images &, Microscopy Research and Technique, 75(8), March 2012, 1044-1050. (ISSN: 1097-0029) (HEC Category: W) |
2. | Rician Noise Removal from MR Images using Novel Adapted Selective Non-Local Means Filter | M. Sultan Zia, M. Arfan Jaffar, Anwar M. Mirza. “Rician Noise Removal from MR Images using Novel Adapted Selective Non-Local Means Filter”, Multimedia Tools and Applications, 2014, Volume 72, Issue 01, 1-19. |
3. | Anisotropic Diffusion based Brain MRI Segmentation and 3D Reconstruction | M. Arfan Jaffar, M. Sultan Zia, Ghaznafar Latif, Anwar M. Mirza, Irfan Mehmood, Naveed Ejaz & Sung Wook Baik. “Anisotropic Diffusion based Brain MRI Segmentation and 3D Reconstruction” International Journal of Computational Intelligence Systems, Volume 5, Issue 3, 2012, 494-504. |
4. | An Adaptive Training Based Classification System for Patterns in Facial Expressions using SURF Descriptor Templates | M. Sultan Zia, M. Arfan Jaffar. “An Adaptive Training Based Classification System for Patterns in Facial Expressions using SURF Descriptor Templates”, Multimedia Tools and Applications, Volume 74, Issue 11, (2015): PP: 3881-3899. |
5. | Facial Expressions Recognition using an Ensemble of key-point’s Descriptor sets | M. Sultan Zia, M. Arfan Jaffar. “Facial Expressions Recognition using an Ensemble of key-point’s Descriptor sets” The Imaging Science Journal, Volume 63, Issue 3 (March 2015), pp. 160-167. |
6. | Cross-Cultural Emotion Classification Based on Incremental Learning and LBP-Features | M. Sultan Zia, and M. Arfan Jaffar. “Cross-Cultural Emotion Classification Based on Incremental Learning and LBP-Features.” Applied Mathematics & Information Sciences, Volume 9, No. 5 (2015), PP:2651-2656. |
7. | A novel spontaneous facial expression recognition using dynamically weighted majority voting based ensemble classifier | M. Sultan Zia, Majid Hussain and M. Arfan Jaffar. “A novel spontaneous facial expression recognition using dynamically weighted majority voting based ensemble classifier”, Multimedia Tools and Applications, Vol. 77, Issue 19, 2018. 25537-25567. |
8. | DCT Features Based Malignancy and Abnormality Type Detection Method for Mammograms | M. Arfan Jaffar, Nawazish Naveed, M. Sultan Zia, Bilal Ahmed and Tae-Sun Choi. “DCT Features Based Malignancy and Abnormality Type Detection Method for Mammograms”, International Journal of Innovative Computing, Information and Control (IJICIC), Vol. 7, Number 9, September 2011, 5495-5513. |
9. | Incremental Learning Based Facial Expression Classification System using a novel multinomial classifier | M. Sultan Zia, and Majid Hussain, M. Arfan Jaffar. “Incremental Learning Based Facial Expression Classification System using a novel multinomial classifier.”, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 32, Issue 04, 2018, 1856003. |
10. | SCOUT: A Sink CamOUflage and concealed data delivery paradigm for circumvention of sink targeted cyber threats in wireless sensor networks | Saqib Ubaid, Majid Hussain, M. Sultan Zia, et al. “SCOUT: A Sink CamOUflage and concealed data delivery paradigm for circumvention of sink targeted cyber threats in wireless sensor networks”, The Journal of Supercomputing, Vol. 74, Issue 10, 2018, 5022–5040. |
11. | An ensemble shape gradient features descriptor-based nodule detection paradigm: a novel model to augment complex diagnostic decisions assistance | M.Arfan Jaffar, M. Sultan Zia, Majid Hussain, et al. “An ensemble shape gradient features descriptor-based nodule detection paradigm: a novel model to augment complex diagnostic decisions assistance”, Multimedia Tools and Applications, May 2018. 79(13), 8649–8675. |
12. | Texture based Localization of a Brain tumor from MR-images by using a Machine learning Approach | Rehman, Zaka Ur, M. Sultan Zia, Giridhar Reddy Bojja, Muhammad Yaqub, Feng Jinchao, and Kaleem Arshid. “Texture based Localization of a Brain tumor from MR-images by using a Machine learning Approach.” Medical Hypotheses (2020): 109705. |
13. | State of the Art CNN Optimizer for Brain Tumor Segmentation in Magnetic Resonance Images | M. Yaqub, J. Feng, M. Sultan Zia, et al. “State of the Art CNN Optimizer for Brain Tumor Segmentation in Magnetic Resonance Images”, Brain Sciences Journal, July 2020. 10(7), 427. |
14. | Sixth Generation (6G) Wireless Networks: Vision, Research Activities, Challenges and Potential Solutions | Mohammed H. Alsharif, M. Sultan Zia, et at. “Sixth Generation (6G) Wireless Networks: Vision, Research Activities, Challenges and Potential Solutions”. Symmetry 2020, 12(4), 676 |
15. | Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis | M. Shabaan, M. Yaqub, M. Sultan Zia, et at. “Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis”. BMC Medical Informatics and Decision Making, 2020, 20(1), 177. |
16. | Analysis of Deep Neural Networks for Human Activity Recognition in Videos – A Systematic Literature Review | Umair Muneer, Hadiqa A., M. Sultan Zia, et at. “Analysis of Deep Neural Networks for Human Activity Recognition in Videos – A Systematic Literature Review”. IEEE Access, September 2021, Vol. 9, 126366 – 126387 |
17. | Analysis of Deep Neural Networks for Human Activity Recognition in Videos – A Systematic Literature Review | Umair Muneer, Hadiqa A., M. Sultan Zia, et at. “Analysis of Deep Neural Networks for Human Activity Recognition in Videos – A Systematic Literature Review”. IEEE Access, September 2021, Vol. 9, 126366 – 126387 |
18. | A secure demand response management authentication scheme for smart grid | Irshad, Azeem, S. A. Chaudhry, M. Sultan Zia, et al. “A secure demand response management authentication scheme for smart grid.” Sustainable Energy Technologies and Assessments, Vol. 48 (2021): P: 101571. |
19. | A Self-Activated CNN Approach for Multi-Class Chest-Related COVID-19 Detection | Najam-ur Rehman, M. Sultan Zia, et at. “A Self-Activated CNN Approach for Multi-Class Chest-Related COVID-19 Detection”. Applied Sciences, September 2021, Vol. 11 (19), P: 9023, |
20. | Classification of Non Discriminant ERD/ERS Comprising MI EEG Signals | Zaib unnisa, M. Sultan Zia, Aneela Abbas. “Classification of Non Discriminant ERD/ERS Comprising MI EEG Signals” International Journal of Advanced Computer Science and Applications, Volume 11 Issue 1, 364-375, January 2020. |
21. | Predicting the Future Transaction from Large & Imbalanced Banking Dataset | Sadaf Ilyas, M. Sultan Zia, et al. “Predicting the Future Transaction from Large & Imbalanced Banking Dataset”, International Journal of Advanced Computer Science and Applications, Volume 11 Issue 1, 273-286 January 2020. |
22. | Detecting Video Surveillance using VGG19 Convolutional Neural Networks | Umair Muneer, M. Sultan Zia, et al. “Detecting Video Surveillance using VGG19 Convolutional Neural Networks” International Journal of Advanced Computer Science and Applications, Volume 11 Issue 2, March 2020. |
23. | A Convergence Time Optimization Paradigm for OSPF based Networks Through SDN SPF Protocol | Asad Ali Khan, Majid Hussain, M. Zafrullah, M. Sultan Zia ” A Convergence Time Optimization Paradigm for OSPF based Networks Through SDN SPF Protocol”, International Conference on Future Networks and Distributed Systems (ICFNDS) 2017, July 19 – 20, 2017, Cambridge, UK |
24. | Ensemble Usage for Classification of EEG Signals A Review with Comparison | Zaib Unnisa, M. Sultan Zia, et al. “Ensemble Usage for Classification of EEG Signals A Review with Comparison.” In International Conference on Human-Computer Interaction, pp. 189-208. Springer, Cham, 2020 |
25. | Ensemble Usage for Classification of EEG Signals A Review with Comparison | Zaib Unnisa, M. Sultan Zia, et al. “Ensemble Usage for Classification of EEG Signals A Review with Comparison.” Lecture Notes in Artificial Intelligence & Lecture Notes in Computer Science, LNCS, volume 12196, 2020. |
MY RESEARCH SUPERVISION:
Areas of Supervision | Machine Learning, Computer Vision, Data Science, IOT, and Digital Image Processing. |
Currently Supervising
Student Name | Research Topic | Affiliation |
Rimsha Arif | Diseases Detection In Brain MRI Using Stack Auto Encoder | The University of Lahore, Gujrat |
Komal Dawood | A Deep Learning Model For OD, OC AND PPA Area Segmentation For Glaucoma Detection | The University of Lahore, Gujrat |
Saher Ul Nisa | Crime hotspot detection underlying road network based on clustering | The University of Lahore, Gujrat |
Syeda Faryal Gillani | Automatic Depression Analysis Through Facial Appearance Using Deep Learned Spectral Features | The University of Lahore, Gujrat |
Sumbal Mustafa | Occupancy Detection Using Neural Network And Fuzzy System | The University of Lahore, Gujrat |
Nazish Razzaq | A deep learning model for engagement detection among online learnrers in e-learning environment | The University of Lahore, Gujrat |
Tooba Rashid | Automatic Wrist Fracture Detection Using Deep Learning hybrid Model Based on CNN and LSTM | The University of Lahore, Gujrat |
Usman Ali Baig | Early stage Brain Tumor Segmentation by using Deep Learning Approach | The University of Lahore, Gujrat |
Ummara Ayman | Epileptic Patient Activity Recognition System Using Extreme Learning Machine | The University of Lahore, Gujrat |
Completions
Student Name | Research Topic | Affiliation |
Sania Azhar | Pneumonia detection is in chest x-ray images using restricted Boltzmann machine | The University of Lahore, Gujrat |
Najam Ur Rehman | Lung Disease Detection In CT Images using Hybrid Features and Convolution Neural Network | The University of Lahore, Gujrat |
Maira Attique | An Enhanced Stack Autoencoder for solving classification problems | The University of Lahore, Gujrat |
Hadiqa Aman Ullah | An Improved Human Activity Recognition Approach in Videos by Using Deep Neural Networks | The University of Lahore, Gujrat |
Mishal Fatima | Semantic Segmentation of Real-World Objects by Using Deep Neural Networks | The University of Lahore, Gujrat |
Sohaib Shakir | Segmentation Based OCR For Cursive Language Urdu Nastaleeq Writing | The University of Lahore, Gujrat |
Demographic classification of face images | ||
Saira Mushtaq | Behavioral Feature Fusion Based Deep Learning Approach for Driver Fatigue Detection | The University of Lahore, Gujrat |
Muhammad Qasim Mahmood | Spatial Temporal Crime Prediction Using Transfer Learning | The University of Lahore, Gujrat |
Awais Ali | Clustering Ensemble Based Spatio-Temporal Crime Hot-Spots Detection | The University of Lahore, Gujrat |
Zaibunnisa | Classification of Motor Imagery EEG Signals | The University of Lahore, Gujrat |
Iqra Saleem | Deep Learning Application: MRI-based Brain Tumor Segmentation and Predicting Patient’s Survival Time | The University of Lahore, Gujrat |
Anam Mukhtar | CT Scan-based Lung Nodule Segmentation and Classification using V-NET architecture | The University of Lahore, Gujrat |
Sadaf Ilyas | Predicting the Future Transaction from Large and Imbalanced Banking Dataset | The University of Lahore, Gujrat |
BS | Sign Language (hand gesture) Recognition, Training and Testing System | The University of Lahore, Gujrat |
BS | Mouse Pointer Controlling by using Finger Gesture and Eyes-Gaze | The University of Lahore, Gujrat |
BS | SURF features based face recognition | The University of Lahore, Gujrat |
BS | Automated class attendance system using face detection and face recognition | The University of Lahore, Gujrat |
BS | Quick Load (Automated mobile card loading application based on optical character | The University of Lahore, Gujrat |
BS | recognition) | The University of Lahore, Gujrat |
BS | Intensity measurement of facial expressions | The University of Lahore, Gujrat |
BS | Biometric Identification, Information and Security System | The University of Lahore, Gujrat |
BS | Color Blind Assistant | The University of Lahore, Gujrat |
MY TEACHINGS:
Course Information (Name/Code) | Year Taught | Program (BS/MS/PhD) | University /Institute |
Deep Learning | 2021 | MS (CS, SE, IT) | The University of Lahore, Gujrat |
Advanced Data Science | 2020 | MS (CS, SE, IT) | The University of Lahore, Gujrat |
Advanced Theory of Computation | 2021 | MS (CS) | The University of Lahore, Gujrat |
Advanced Topics in Computer Vision | 2019 | MS (CS, SE) | The University of Lahore, Gujrat |
Applied Machine Learning | 2021 | MS (CS, SE, IT) | The University of Lahore, Gujrat |
Machine Learning | 2021 | BS (CS, SE, IT) | The University of Lahore, Gujrat |
Advanced Digital Image Processing | 2015 | MS (CS) | COMSATS University, Sahiwal Campus. |
Advanced Analysis of Algorithms | 2015 | MS (CS) | COMSATS University, Sahiwal Campus. |
Advanced Topics in Computer Vision | 2015 | MS (CS) | COMSATS University, Sahiwal Campus. |
Theory of Computation | 2016 | MS (CS) | COMSATS University, Sahiwal Campus. |
Design and Analysis of Algorithms | 2016 | BS (CS) | COMSATS University, Sahiwal Campus. |
Digital Image Processing | 2016 | BS (CS) | COMSATS University, Sahiwal Campus. |
Operating System Concepts | 2017 | BS (CS) | COMSATS University, Sahiwal Campus. |
Discrete Structures | 2017 | BS (CS) | COMSATS University, Sahiwal Campus. |
Computer Graphics | 2017 | BS (CS) | COMSATS University, Sahiwal Campus. |
Compiler Construction | 2012 | BS (CS) | NFC Institute of Engineering and Fert. Research, Faisalabad |
Artificial Intelligence | 2012 | BS (CS) | NFC Institute of Engineering and Fert. Research, Faisalabad |
Digital Image Processing | 2012 | BS (CS) | NFC Institute of Engineering and Fert. Research, Faisalabad |
Digital Signal Processing | 2011 | BS (CS) | NFC Institute of Engineering and Fert. Research, Faisalabad |
Analysis of Algorithms | 2010 | BS (CS) | NFC Institute of Engineering and Fert. Research, Faisalabad |
Theory of Automata | 2009 | BS (CS) | NFC Institute of Engineering and Fert. Research, Faisalabad |
Data Structures and Algorithms | 2009 | BS (CS) | NFC Institute of Engineering and Fert. Research, Faisalabad |