Prof. Dr. Muhammad Sultan Zia

Academic Position:

Professor & Chairperson

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:

Social Links

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 / Chairperson 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