Home \ Faculty Details \ Ghazanfar Latif, Ph.D. (AI/CS)
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  • Phone:

    +966-13-849-9356

  • Email:

    glatif@pmu.edu.sa

  • Office No:

    F-012

  • Ghazanfar Latif, Ph.D. (AI/CS)

  • Job Title :

    Research Coordinator / Acting Director

    Center for Artificial Intelligence (CAI)

  • College :

    College of Computer Engineering and Science


    Deanship of Research


  • Department :

    Information Technology


    Deanship of Research


Dr. Ghazanfar Latif is a distinguished academic and researcher with extensive experience in higher education, including teaching, research, curriculum development, and academic administration. Recognized among the World's Top 2% Scientists by Stanford University in 2024, he has published over 100 research articles in the field of AI and holds 13 US patents. 

Currently Dr. Latif holds position of research coordinator (Deanship of Graduate Studies and Research) and also managing Center for Artificial Intelligence as Acting Director. He is also teaching for College of Computer Engineering and Sciences at Prince Mohammad bin Fahd University, Saudi Arabia. He completed his Ph.D., MS, and BS degrees in Computer Science (specialization in AI), earning a Gold Medal in his Ph.D. and merit scholarships for his MS and BS. His notable achievements include a Gold Medal with honor at the Innovations Exhibition in Geneva, Switzerland, and first place in the NEOM Oxagon Hackathon.

Post-Doctoral Fellow (AI / ML / DL – Minerals Recognition), UQAC, Canada

Ph.D. Computer Science (Specialization in Deep Learning),  UNIMAS, Malaysia

M.S. Computer Science (Specialization in Machine Learning), KFUPM, KSA

B.S. Computer Science, NUCES, Pakistan

US Patents                                                                                                             (Total Patents Granted: 5)

2023
  1. U.S. Patent No. US11829959B1: Ghazanfar Latif, Ghassen Ben Brahim (2023). System and methods for fully autonomous potholes detection and road repair determination. Washington, DC: U.S. Patent and Trademark Office. https://patents.google.com/patent/US11829959B1.

 

  1. U.S. Patent No. US11748588B1: Ghazanfar Latif, Ghassen Ben Brahim (2023). Automated Secure Paper Tray Access and Paper Quota Management System for Public Printers. Washington, DC: U.S. Patent and Trademark Office. https://patents.google.com/patent/US11748588B1.

 

  1. U.S. Patent No. US11755687B2: Khan, M. A., Mohammad, N., Brahim, G. B., Bashar, A., Ghazanfar Latif. (2023). Text independent writer verification method and system. Washington, DC: U.S. Patent and Trademark Office. https://patents.google.com/patent/US20230112880A1.

2022
  1. U.S. Patent No. US11227387B2: Ghazanfar Latif, (2022).  Multi-stage brain tumor image processing method and system. Washington, DC: U.S. Patent and Trademark Office.

https://patents.google.com/patent/US11227387B2.

 

  1. U.S. Patent No. US11393361B1: Ghazanfar Latif., Alghazo, J., Alufaisan, S., Albur, W., & Alsedrah, S. (2022). Braille Reader System using Deep Learning Framework. Washington, DC: U.S. Patent and Trademark Office. https://patents.google.com/patent/US11393361B1.

CIP US Patents                                               ________                                       (Total Patents Granted: 8)

2024
  1. U.S. Patent No. 11,914,673: Khan, M. A., Mohammad, N., Brahim, G. B., Bashar, A., & Ghazanfar Latif (2024). System to identify authorship of handwritten text based on individual alphabets, Washington, DC: U.S. Patent and Trademark Office. https://patents.google.com/patent/US11914673B2.

 

  1. U.S. Patent No. 12,019,709: Khan, M. A., Mohammad, N., Brahim, G. B., Bashar, A., & Ghazanfar Latif (2024). Writer verification method for handwritten cursively connected Arabic, Washington, DC: U.S. Patent and Trademark Office. https://patents.google.com/patent/US12019709B1.

 

  1. U.S. Patent No. 12,019,708: Khan, M. A., Mohammad, N., Brahim, G. B., Bashar, A., & Ghazanfar Latif (2024). Text independent writer verification device for handwritten cursively connected Arabic words, Washington, DC: U.S. Patent and Trademark Office. https://patents.google.com/patent/US12019708B1.

 

  1. U.S. Patent No. 12,039,006: Khan, M. A., Mohammad, N., Brahim, G. B., Bashar, A., & Ghazanfar Latif (2024). Writer verification device for Arabic handwriting, Washington, DC: U.S. Patent and Trademark Office. https://patents.google.com/patent/US12039006B1.

 

  1. U.S. Patent No. 12,045,313: Khan, M. A., Mohammad, N., Brahim, G. B., Bashar, A., & Ghazanfar Latif (2024).  Verification system for handwritten Arabic text, Washington, DC: U.S. Patent and Trademark Office. https://patents.google.com/patent/US12045313B2.

 

  1. U.S. Patent No. 12,045,312: Khan, M. A., Mohammad, N., Brahim, G. B., Bashar, A., & Ghazanfar Latif (2024).  Text verification device with battery power supply, Washington, DC: U.S. Patent and Trademark Office. https://patents.google.com/patent/US12045312B2.

 

  1. U.S. Patent No. 12,093,344: Khan, M. A., Mohammad, N., Brahim, G. B., Bashar, A., & Ghazanfar Latif (2024). Writer verification device having imaging device, Washington, DC: U.S. Patent and Trademark Office. https://patents.google.com/patent/US12093344B2/en

 
  1. U.S. Patent No. 12,111,887: Khan, M. A., Mohammad, N., Brahim, G. B., Bashar, A., & Ghazanfar Latif (2024). Digital pen writer verification device, Washington, DC: U.S. Patent and Trademark Office. https://patents.google.com/patent/US 12111887B2/en

 

International Journal Articles       (Total: 49  –  IF: 90.26, Corresponding Author: 96%, First Author 63%)

2024
  1. Ghazanfar Latif, Bouchard, K., Maitre, J. et al. A framework for microscopic grains segmentation and Classification for Minerals Recognition using hybrid features. Earth Sci Inform (2024). https://doi.org/10.1007/s12145-024-01478-1.

(ISI Impact Factor:2.7).

  1. Ghazanfar Latif, Alghazo, J., Khan, M. A., Brahim, G. B., Fawagreh, K., & Mohammad, N. (2024). Deep convolutional neural network (CNN) model optimization techniques—Review for medical imaging. AIMS Mathematics, 9(8), 20539-20571.

(ISI Impact Factor:1.8).

  1. Hasanaath A.A., Mohammed A.S, Ghazanfar Latif, Sherif E. A, Alghazo J., Hussain A. A., (2024), Acute Lymphoblastic Leukemia detection using Ensemble Features from multiple deep CNN Models, Electronic Research Archive, 32 (4), 2407-2423.

(ISI Impact Factor:0.8).

  1. Ghazanfar Latif, Alghazo, J., Mohammad, N., Abdelhamid, S. E., Brahim, G. B., & Amjad, K. (2024). A Novel Fragmented Approach for Securing Medical Health Records in Multimodal Medical Images. Applied Sciences, 14(14), 6293.

(ISI Impact Factor:2.838).

  1. Alghazo, R., Ghazanfar Latif; Mohammad, N., Alghazo, J., Pilotti, M. A. E., Deep Learning-based Arabic Sign Recognition System for Automated Communication with Hearing Impaired Individuals, KSII Transactions on Internet and Information Systems (in press).

(ISI Impact Factor:1.20).

2023
  1. Ghazanfar Latif, Bashar, A., Awang Iskandar, D. N. F., Mohammad, N., Brahim, G. B., & Alghazo, J. M. (2023). Multiclass tumor identification using combined texture and statistical features. Medical & biological engineering & computing, 61(1), 45-59.

 (ISI Impact Factor: 3.079).

  1. Alghazo, J., Ghazanfar Latif (2023). Editorial: AI/ML-Based Medical Image Processing and Analysis. Diagnostics, 13(24), 3671.

 (ISI Impact Factor: 3. 992).

  1. Mohammed, A. S., Hasanaath, A. A., Ghazanfar Latif, & Bashar, A. (2023). Knee Osteoarthritis Detection and Severity Classification Using Residual Neural Networks on Preprocessed X-ray Images. Diagnostics, 13(8), 1380.

 (ISI Impact Factor: 3.992).

  1. Ghazanfar Latif, Alghmgham, D. A., Maheswar, R., Alghazo, J., Sibai, F., & Aly, M. H. (2023). Deep learning in Transportation: Optimized driven deep residual networks for Arabic traffic sign recognition. Alexandria Engineering Journal, 80, 134-143.

 (ISI Impact Factor: 6.8).

  1. Ghazanfar Latif, Brahim, G. B., Abdelhamid, S. E., Alghazo, R., Alhabib, G., & Alnujaidi, K. (2023). Learning at Your Fingertips: An Innovative IoT-Based AI-Powered Braille Learning System. Applied System Innovation, 6(5), 91.

 (ISI Impact Factor: 3.8).

  1. Ghazanfar Latif, Nazeeruddin Mohammad, and Jaafar Alghazo. "DeepFruit: A dataset of fruit images for fruit classification and calories calculation." Data in Brief 50 (2023): 109524.

 (ISI Impact Factor: 1.2).

  1. Ghazanfar Latif, Sherif E. Abdelhamid, Khaled S Fawagreh, Ghassen Ben Brahim, Runna Alghazo (2023), Machine Learning in Higher Education: Students’ Performance Assessment considering Online Activity Logs, IEEE Access, 11, 69586 - 69600.

 (ISI Impact Factor: 3.476).

  1. Alghazo, J., Ghazanfar Latif, Hammad, B., Al-Abed, M., Sibai, F., & Al-Kouz, W. (2023). Prediction of the Performance of a Sun Tracking Photovoltaic System using different Artificial Intelligence Techniques: Case Study in Zarqa, Jordan. International Journal of Computing and Digital Systems, 14 (1), 10337-10345.

 (Scopus Indexed Journal).

2022
  1. Ghazanfar Latif, Morsy, H., Hassan, A., & Alghazo, J. (2022). Novel Coronavirus and Common Pneumonia Detection from CT Scans Using Deep Learning-Based Extracted Features. Viruses, 14(8), 1667.

 (ISI Impact Factor: 5.818).

  1. Ghazanfar Latif, Faisal Yousif Al Anezi, D.N.F. Awang Iskandar, Abul Bashar, and Jaafar Alghazo. (2022). Recent Advances in Classification of Brain Tumor from MR Images – State of the Art Review from 2017 to 2021. Current medical imaging.

 (ISI Impact Factor: 1.315).

  1. Ghazanfar Latif, (2022). DeepTumor: Framework for Brain MR Image Classification, Segmentation and Tumor Detection, Diagnostics, 12, no. 11 (2022): 2888.

 (ISI Impact Factor: 3.992).

  1. Ghazanfar Latif, Sherif E. Abdelhamid, Roxane Elias Mallouhy, Jaafar Alghazo, and Zafar Abbas Kazimi. 2022. Deep Learning Utilization in Agriculture: Detection of Rice Plant Diseases Using an Improved CNN Model. Plants 11, no. 17: 2230.

 (ISI Impact Factor: 4.658).

  1. Butt, M. M., Iskandar, D. N. F., Abdelhamid, S. E., Ghazanfar Latif, & Alghazo, R. (2022). Diabetic Retinopathy Detection from Fundus Images of the Eye Using Hybrid Deep Learning Features. Diagnostics, 12(7), 1607.

 (ISI Impact Factor: 3.992).

  1. Ghazanfar Latif, Kévin Bouchard, Julien Maitre, Arnaud Louis Abel Back, L. Paul Bédard, Deep Learning–Based Automatic Mineral Grain Segmentation and Recognition, Minerals, 2022.

 (ISI Impact Factor: 2.644).

  1. Ghazanfar Latif, Ben Brahim, G., Iskandar, D. N. F., Bashar, A., & Alghazo, J. (2022). Glioma Tumors’ Classification Using Deep-Neural-Network-Based Features with SVM Classifier. Diagnostics, 12(4), 1018.

 (ISI Impact Factor: 3.992).

  1. Majid Ali Khan, Nazeeruddin Mohammad, Ghassen Ben Brahim, Abul Bashar, Ghazanfar Latif, Writer Verification of Partially Damaged Handwritten Arabic Documents based on Individual Character Shapes, PeerJ Computer Science, 2022.

 (ISI Impact Factor: 1.390).

  1. Akaaboune, A., Elhassan, A., Ghazanfar Latif & Alghazo, J. (2022). PCA-WA Based Approach for Concurrent Control Chart Pattern Recognition. Operations and Supply Chain Management: An International Journal, 15(4), 474-485.

 (Scopus Indexed Journal).

2021
  1. Ghazanfar Latif, Al Anezi, F.Y., Sibai, F.N., Alghazo, J., (2021), Lung Opacity Pneumonia Detection with Improved Residual Networks. Journal of Medical and Biological Engineering 41, 581-591, Springer Nature.

 (ISI Impact Factor: 1.553).

  1. Ghazanfar Latif, Alghazo, J., Sibai, F. N., Iskandar, D. N. F., & Khan, A. H. (2021). Recent advancements in Fuzzy C-means based techniques for brain MRI Segmentation. Current medical imaging, 17(8), 917-930.

x (ISI Impact Factor: 1.315).

  1. Bashar, A., Ghazanfar Latif, Ben Brahim, G., Mohammad, N., & Alghazo, J. (2021). COVID-19 Pneumonia Detection Using Optimized Deep Learning Techniques. Diagnostics, 11(11), 1972.

 (ISI Impact Factor: 3.992).

  1. Ghazanfar Latif, Alghazo, R., Pilotti, M. A., & Brahim, G. B. (2021). Identifying" At-Risk" Students: An AI-based Prediction Approach. International Journal of Computing and Digital System.

 (Scopus Indexed Journal).

  1. Ghazanfar Latif, Alghazo, J., Mohammad, N., & Alghazo, R. (2021, July). Communicating with the Deaf and Hard of Hearing through Automatic Arabic Sign Language Translator. In Journal of Physics: Conference Series (Vol. 1962, No. 1, p. 012055). IOP Publishing.

 (Scopus Indexed Journal)

2020
  1. Ghazanfar Latif, N. Saravanakumar, Jaafar Alghazo, P. Bhuvaneswari, K. Shankar, Muhammad O. Butt, (2020), Scheduling and Resources Allocation in Network Traffic using Multiobjective, Multiuser Joint Traffic Engineering, Wireless Networks, 2020, Springer.

 (ISI Impact Factor: 2.405).

  1. Ghazanfar Latif, Iskandar, D. N. F. A., Alghazo, J., & Butt, M. M. (2020). Brain MR Image Classification for Glioma Tumor detection using Deep Convolutional Neural Network Features. Current Medical Imaging, DOI: 10.2352/J.ImagingSci.Technol.2019.63.2.020502.

 (ISI Impact Factor: 1.315).

  1. Ghazanfar Latif, Jaafar Alghazo, R. Maheswar, V. Vijayakumar, Mohsin Butt (2020), Deep Learning based Intelligence Cognitive Vision Drone for Automatic Plant Diseases Identification and Spraying, Journal of Intelligent & Fuzzy Systems, IOS Press.

 (ISI Impact Factor: 1.637).

  1. Roychowdhury, P., Alghazo, J. M., Ghazanfar Latif, (2020). POID: a passive all-optical inter-rack interconnect for data-centers. Wireless Networks, 1-13, In Press.

 (ISI Impact Factor: 2.405).

  1. Alghazo J, Rathee G, Gupta S, Tabrez Quasim M, Murugan S, Ghazanfar Latif, Dhasarathan V. (2020) A Secure Multimedia Processing through Blockchain in Smart Healthcare Systems. Transactions on Multimedia Computing, Communications, and Applications (TOMM), ACM.

 (ISI Impact Factor: 2.870).

  1. Ghazanfar Latif, Mohammad, N., AlKhalaf, R., AlKhalaf, R., Alghazo, J., & Khan, M. (2020). An Automatic Arabic Sign Language Recognition System based on Deep CNN: An Assistive System for the Deaf and Hard of Hearing. International Journal of Computing and Digital Systems, 9(4), 715-724.

 (Scopus Indexed Journal).

  1. Danyah A. Alghmgham, Ghazanfar Latif, Jaafar Alghazo, Loay Alzubaidi, Autonomous Traffic Sign (ATSR) Detection and Recognition using Deep CNN, Procedia Computer Science, Volume 163, pp. 266-274, 2019.

 (Elsevier, Scopus).

  1. M. Mohsin Butt, Ghazanfar Latif, D.N.F. Awang Iskandar, Jaafar Alghazo, Adil H. Khan, Multi-channel Convolutions Neural Network Based Diabetic Retinopathy Detection from Fundus Images, Procedia Computer Science, Volume 163, pp. 283-291, 2019.

 (Elsevier, Scopus).

  1. Al-Hmouz, A., Ghazanfar Latif, Alghazo, J., & Al-Hmouz, R. (2020). Enhanced Numeral Recognition for Handwritten Multi-language Numerals Using Fuzzy Set-Based Decision Mechanism. International Journal of Machine Learning and Computing, 10(1).

 (Scopus Indexed Journal).

2019
  1. Ghazanfar Latif, Achyut Shankar, Jaafar M. Alghazo, V. Kalyanasundaram, C.S. Boopathi and M. Arfan Jaffar, I-CARES: Advancing Health Diagnosis and Medication through IoT, Wireless Networks, 2019, Springer.      

 (ISI Impact Factor: 2.405).

  1. Al-Asad, J. F., Khan, A. H., Ghazanfar Latif., & Hajji, W. (2019). QR based Despeckling Approach for Medical Ultrasound Images. Current medical imaging, 15(7), 679-688.

 (ISI Impact Factor: 1.315).

  1. Alghazo, Jaafar M., Ghazanfar Latif, Loay Alzubaidi, and Ammar Elhassan. "Multi-Language Handwritten Digits Recognition based on Novel Structural Features." Journal of Imaging Science and Technology 63, no. 2 (2019): 20502-1.

(ISI Impact Factor: 0.46).

  1. Ghazanfar Latif, Nazeeruddin Mohammad, Jaafar Alghazo, Roaa AlKhalaf, and Rawan AlKhalaf. "ArASL: Arabic Alphabets Sign Language Dataset." Data in Brief 23 (2019): 103777.

 (Scopus Indexed Journal).

  1. Loay Alzubaidi, Ghazanfar Latif, Real time License Saudi Plate Recognition Using Raspberry Pi, International Journal of Advanced Trends in Computer Science and Engineering, Volume 8 (1.1), pp. 42-47, 2019.

 (Scopus Indexed Journal).

  1. Ghazanfar Latif, Kinza Waqar, Shifa Khaja Muhieitheen, Sarah Imran Khan, Majid Ali Khan, Loay Alzubaidi, Enhanced Deep CNN Models for Underwater Fish Classification, International Journal of Recent Technology and Engineering (IJRTE), 2019.

 (Scopus Indexed Journal).

  1. Loay Alzubaidi, Ghazanfar Latif, Jaafar M. Alghazo, Mohammed Zikria, Cloud-Based Interactive Hands free E-Learning Environment for Students with Disabilities, International Journal of Recent Technology and Engineering (IJRTE), Volume-8 Issue-3.

 (Scopus Indexed Journal)

2018
  1. Ghazanfar Latif, DNF Awang Iskandar, Jaafar M. Alghazo, and Nazeeruddin Mohammad, “Enhanced MR Image Classification Using Hybrid Statistical and Wavelets Features”, IEEE Access, 7, 9634-9644, (2018).

 (ISI Impact Factor: 4.098).

  1. Ghazanfar Latif, DNF Awang Iskandar, Jaafar Alghazo, and Arfan Jaffar, "Improving brain MR image classification for tumor segmentation using phase congruency." Current Medical Imaging Reviews 14.6 (2018): 914-922.

 (ISI Impact Factor: 1.315).

  1. Alghazo, J. M., Ghazanfar Latif, Elhassan, A., Alzubaidi, L., Al-Hmouz, A., & Al-Hmouz, R. (2017). An Online Numeral Recognition System Using Improved Structural Features–A Unified Method for Handwritten Arabic and Persian Numerals. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(2-10), 33-40.

 (Scopus Indexed Journal).

  1. Ghazanfar Latif, Iskandar, D. A., Alghazo, J., Butt, M., & Khan, A. H. (2018). Deep CNN based MR Image Denoising for Tumor Segmentation using Watershed Transform. International Journal of Engineering & Technology, 7(2.3), 37-42.

 (Scopus Indexed Journal)

2017
  1. Khan, Adil H., Jawad F. Al-Asad, and Ghazanfar Latif. "Speckle suppression in medical ultrasound images through Schur decomposition." IET Image Processing 12.3 (2017): 307-313.

 (ISI Impact Factor: 2.004).

  1. Ghazanfar Latif, Iskandar, D. A., Jaffar, A., & Butt, M. M. (2017). Multimodal Brain Tumor Segmentation using Neighboring Image Features. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(2-9), 37-42.

 (Scopus Indexed Journal)

2012
  1. Jaffar, M. Arfan, Sultan Zia, Ghazanfar Latif, Anwar M. Mirza, Irfan Mehmood, Naveed Ejaz, and Sung Wook Baik, Anisotropic Diffusion based Brain MRI Segmentation and 3D Reconstruction, International Journal of Computational Intelligence Systems, Volume 5, Issue 3, 2012, pages 494-504.                                

(ISI Impact Factor: 1.89).

 

International Conference Publications                                                                                         (Total Conference Papers: 33)

2024
  1. Ghazanfar Latif, Brahim, G. B., Houda, T., & Alghazo, J. (2024, May). Date Fruit Classification Using Transfer Learning Techniques. In 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) (pp. 1-7). IEEE.

(IEEE, Scopus).

  1. Emaan Nazeeruddin, Ghazanfar Latif, Mohammad Nazeeruddin (2024), Malicious URL Detection and Categorization using Machine Learning Techniques, 16th International Conference on Computational Intelligence and Communication Networks. (In process).

(IEEE, Scopus).

  1. Latif, G., Mohammad, N., Brahim, G. B., Alghazo, J., & Fawagreh, K. (2024, May). Detection of AI-written and human-written text using deep recurrent neural networks. In Fourth Symposium on Pattern Recognition and Applications (SPRA 2023) (Vol. 13162, pp. 11-20). SPIE.

(SPIE, Scopus).

  1. Ghazanfar Latif, Ghassen Bin Brahim, Nazeeruddin Mohammad, and Jaafar Alghazo. (2024, March). Combating medical image tampering using deep transfer learning. In AIP Conference Proceedings (Vol. 3034, No. 1).

 (AIP, Scopus).

  1. Akhtar Hussain, Ghazanfar Latif, Jaafar Alghazo and Eunjin Kim.  (2024, March). Flood detection using deep learning methods from visual images. In AIP Conference Proceedings (Vol. 3034, No. 1).

 (AIP, Scopus).

  1. Maria Alabdulrahman, Lara Alotaibi, Ghazanfar Latif, Jaafar Alghazo and Ahmed Hasanaath, (2024). Arabic Offense Text Detection in Social Networks using Collaborative Machine Learning, 6th International Symposium on Advanced Electrical and Communication, Khobar, Saudi Arabia.

 (IEEE, Scopus).

2023
  1. Ghazanfar Latif, N. Mohammad and J. Alghazo (2023). Plant Seedling Classification Using Preprocessed Deep CNN. 15th International Conference on Computer and Automation Engineering (ICCAE), Sydney, Australia, pp. 244-248.

 (IEEE, Scopus).

2022
  1. Ghadah Alhabib, Ghazanfar Latif, Jaafar Alghazo, Ghassen Ben Brahim, (2022, December). Seismic structures classification using novel features from seismic images. In 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN) (pp. 96-102).

 (IEEE, Scopus).

  1. David Feinauer, Ghazanfar Latif, Abeer M. Alenazy, Nizar Tayem, Jaafar Alghazo, Loay Alzubaidi, (2022, December). Oil spill identification using deep convolutional neural networks. In 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN) (pp. 240-245).

 (IEEE, Scopus).

  1. Suleiman Y Yerima, Abul Bashar, Ghazanfar Latif, (2022, December). Malicious pdf detection based on machine learning with enhanced feature set. In 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN) (pp. 486-491).

 (IEEE, Scopus).

2021
  1. Ghazanfar Latif; Faisal Anezi; M. Omair Butt; Jaafar Alghazo, Residual networks based classification of right whales in the ocean. In 3rd Smart Cities Symposium (SCS 2020) (Vol. 2020, pp. 427-432).

 (IET Inspec., Scopus).

  1. Shahad Alghamdi, Mariam Alabkari, Fatima Aljishi, Ghazanfar Latif, Abul Bashar, (2021). Lung Cancer Detection from LDCT Images Using Deep Convolutional Neural Networks. In International Conference on Communication, Computing and Electronics Systems: Proceedings of ICCCES 2020 (pp. 363-374).

 (Springer, Scopus).

  1. R. Al-Haddad; F. Sahwan; A. Aboalmakarem; Ghazanfar Latif; Yasmeen Alufaisan, Email text analysis for fraud detection through machine learning techniques. In 3rd Smart Cities Symposium (SCS 2020) (Vol. 2020, pp. 613-616).

 (IET Inspec., Scopus).

  1. Ghazanfar Latif, Alghazo, J., Butt, M., & Kazimi, Z. A. (2021, June). Fast Parallel SVM based Arrhythmia Detection on Multiple GPU Clusters. In 2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) (pp. 669-673). IEEE.

 (IEEE, Scopus).

  1. Saleh Al-Faraj, Mustafa Al-Bahrani, Saeed Al-Ghamdi, Marwan Rafie, Abul Bashar, Ghazanfar Latif, CNN-based Alphabet Identification and Sorting Robotic Arm, International Conference on Communication, Computing and Electronics Systems (ICCCES 2020). Springer.

 (Springer, Scopus).

  1. Shurouq Alufaisan, Wafa Albur, Shaikha Alsedrah, and Ghazanfar Latif, (2021). Arabic Braille numeral recognition using convolutional neural networks. In International Conference on Communication, Computing and Electronics Systems: Proceedings of ICCCES 2020 (pp. 87-101). Springer.

 (Springer, Scopus)

2020
  1. Alghazo, J., Bashar, A., Ghazanfar Latif, & Zikria, M. (2021, June). Maritime Ship Detection using Convolutional Neural Networks from Satellite Images. In 2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT) (pp. 432-437).

 (IEEE, Scopus).

  1. Ghazanfar Latif, Alsalem, B., Mubarky, W., Mohammad, N., & Alghazo, J. (2020, April). Automatic Fruits Calories Estimation through Convolutional Neural Networks. In Proceedings of the 2020 6th International Conference on Computer and Technology Applications (pp. 17-21).

 (ACM, Scopus).

  1. Mahmoud, A. A., Alawadh, I. N. A., Ghazanfar Latif, Alghazo, J. (2020, April). Smart Nursery for Smart Cities: Infant Sound Classification Based on Novel Features and Support Vector Classifier. In 2020 7th International Conference on Electrical and Electronics Engineering (ICEEE) (pp. 47-52).

 (IEEE, Scopus).

  1. Ghazanfar Latif, Faisal Yousif Al Anezi, Mohammad Zikria, Jaafar Alghazo, EEG-ECG Signals Classification for Arrhythmia Detection using Decision Trees, 2020 Fourth International Conference on Inventive Systems and Control (ICISC) (pp. 192-196).

 (IEEE, Scopus).

  1. Ghazanfar Latif, Muhammad O. Butt, Jaafar Alghazo, (2020, October). Ultrasound image despeckling and detection of breast cancer using deep CNN. In 2020 RIVF International Conference on Computing and Communication Technologies (RIVF) (pp. 1-5).

(IEEE, Scopus).

2019
  1. Sarwar M Haque, Ghazanfar Latif, Rafiul Hasan, Arifuzzaman, Shakib S Shafin, Quazi A Rahman, (2019, March). Scalable parallel SVM on cloud clusters for large datasets classification. In 2nd Smart Cities Symposium (SCS 2019) (pp. 1-5).

    (IET, Scopus).

  1. Loay Alzubaidi, Ghazanfar Latif, Jaafar Alghazo, (2019). Affordable and portable realtime saudi license plate recognition using SoC. In 2019 2nd International Conference on new Trends in Computing Sciences (ICTCS) (pp. 1-5).

 (IEEE, Scopus).

  1. Eman Shaikh, Iman Mohiuddin, Ayisha Manzoor, Ghazanfar Latif, Nazeeruddin Mohammad, (2019). Automated grading for handwritten answer sheets using convolutional neural networks. In 2019 2nd International conference on new trends in computing sciences (ICTCS) (pp. 1-6).

 (IEEE, Scopus).

2018
  1. Adil H. Khan, Ghazanfar Latif, D.N.F. Awang Iskandar, Jaafar Alghazo, Mohsin Butt, Segmentation of Melanoma Skin Lesions using Anisotropic Diffusion and Adaptive Thresholding, 8th International Conference on Biomedical Engineering and Technology (ICBET 2018), International Conference Proceedings Series by ACM (ISBN: 978-1-4503-6369-3).

           (ACM, Scopus)

  1. Ghazanfar Latif, D.N.F. Awang Iskandar, Jaafar Alghazo, Multiclass Brain Tumor Classification using Region Growing based Tumor Segmentation and Ensemble Wavelet Features, International Conference on Computing and Big Data (ICCBD 2018), Charleston, South Carolina, USA (ACM).

 (ACM, Scopus).

  1. Ghazanfar Latif, Jaafar Alghazo, Loay Alzubaidi, M. Muzzamal Naseer, Yazan Alghazo, Deep Convolutional Neural Network for Recognition of Unified Multi-Language Handwritten Numerals, 2nd IEEE Int. Workshop on Arabic and derived Script Analysis and Recognition (ASAR), March 12-14, 2018, The Alan Turing Institute, London, UK.

 (IEEE, Scopus).

  1. Maitham A Al-Dobais, Ghazanfar Latif, Fahad Abdulrahman G Alrasheed, Loay Alzubaidi, Adoptive Thresholding and Geometric Features based Physical Layout Analysis of Scanned Arabic Books, 2nd IEEE Int. Workshop on Arabic and derived Script Analysis and Recognition (ASAR), March 12-14, 2018, The Alan Turing Institute, London, UK.

 (IEEE, Scopus).

2017
  1. Ghazanfar Latif, M. Mohsin Butt, Adil H. Khan, Omair Butt, and DNF Awang Iskandar. "Multiclass brain Glioma tumor classification using block-based 3D Wavelet features of MR images." In 4th International Conference on Electrical and Electronic Engineering (ICEEE), pp. 333-337, Ankara Turkey, IEEE.

 (IEEE, Scopus).

  1. Jaffar Alghazo, Zafar Kazmi, Ghazanfar Latif, Cyber Security Analysis of Internet Banking in Emerging Countries: User and Bank Perspectives, 4th IEEE International Conference on Engineering Technologies and Applied Sciences (ICETAS).

 (IEEE, Scopus).

  1. Ghazanfar Latif, M. Mohsin Butt, Adil H. Khan, M. Omair Butt, Jawad F. Al-Asad, Automatic Multimodal Brain Image Classification using MLP and 3D Glioma Tumor Reconstruction, 9th IEEE-GCC Conference and Exhibition (IEEE-GCC), Manama Bahrain.

 (IEEE, Scopus).

  1. Ghazanfar Latif, Adil H. Khan, M. Mohsin Butt, Omair Butt, IoT based Real-time Voice Analysis and Smart Monitoring System for Disabled People, International Conference on Advanced Research (ICAR- 2017), Manama Bahrain, pp. 191-199.

 

  1. Jaafar M. Alghazo, Faisal Yousif Al Anezi, Ghazanfar Latif, Mohammad Mohsin Butt, Sustainable Economic Development through IT Workforce in Saudi Arabia, 2nd International Conference on Emerging Research for Sustainable Economic Development (2nd ERSED-2017), Manama Bahrain.

 

2013
  1. Ghazanfar Latif, Muhammad Mohsin Butt, and Adil Humayun Khan, Eye Click: Eye Gaze based User Interface for the Disabled People, International Conference on Technology for Helping People with Special Needs (ICTHP-2013), Saudi Arabia.

.

2010
  1. Qurat-Ul-Ain, Ghazanfar Latif, Sidra Batool Kazmi, M. Arfan Jaffar, and Anwar M. Mirza, Classification and Segmentation of Brain Tumor using Texture Analysis, in International Conference on Artificial Intelligence, Knowledge Engineering and Databases (AIKED 2010), University of Cambridge UK Pages: 147-155.

 

 

 

Book Chapters                                                                                                                                      (Total Published Chapters: 7)

2023
  1. Ghazanfar Latif, Jaafar Alghazo, and Zafar Kazmi (2023), Security Enabling for IoT and Wireless Sensor Networks based Data Communication, Advanced Wireless Communication and Sensor Networks: Applications and Simulations, Taylor & Francis.

 (Taylor & Francis, Scopus).

  1. Ghazanfar Latif, Jaafar Alghazo, and Sherif E. Abdelhamid (2022), Social Impacts of Technology with the Emergence of IoT, 5G and Artificial Intelligence, Advanced Wireless Communication and Sensor Networks: Applications and Simulations, Taylor & Francis.

 (Taylor & Francis, Scopus).

2020
  1. Ghazanfar Latif, Alghazo, J. M., Maheswar, R., Sampathkumar, A., & Sountharrajan, S. (2020). IoT in the Field of the Future Digital Oil Fields and Smart Wells. In Internet of Things in Smart Technologies for Sustainable Urban Development (pp. 1-17). Springer, Cham.

 (Springer, Scopus).

  1. Ghazanfar Latif, Alghazo, J. M., Maheswar, R., Jayarajan, P., & Sampathkumar, A. (2020). Internet of Things: Reformation of Garment Stores and Retail Shop Business Process. In Integration of WSN and IoT for Smart Cities (pp. 115-128). Springer, Cham.

 (Springer, Scopus).

  1. Ghazanfar Latif, Alghazo, J. M., Maheswar, R., Jayarajan, P., & Sampathkumar, A. (2020). Impact of IoT-Based Smart Cities on Human Daily Life. In Integration of WSN and IoT for Smart Cities (pp. 103-114). Springer, Cham.

 (Springer, Scopus).

  1. Debnath, Biswajit, Jaafar M. Alghazo, Ghazanfar Latif, Reshma Roychoudhuri, and Sadhan Kumar Ghosh. "An Analysis of Data Security and Potential Threat from IT Assets for Middle Card Players, Institutions and Individuals." In Sustainable Waste Management: Policies and Case Studies, pp. 403-419. Springer, Singapore, 2020.

 (Springer, Scopus).

2019
  1. Ghazanfar Latif, Jaafar Alghazo, (2019), IoT based Cloud based Rx Healthcare Expert System, Fog Computing for Healthcare 4.0 Environments: Technical, Societal, and Future Implications, Springer.

 (Springer, Scopus).

 

Research Poster Presentations                                                                                                                                 (Total Posters: 5)

2023
  1. Ghazanfar Latif, Khalid Alnujaidi, Ghadah Alhabib, Innovative Education System for the Blind: AI based Arabic Braille Language System, Technology in the Service of People, NEOM Oxagon Hackathon, 2022, Riyad, Saudi Arabia.

2020
  1. Wafa Albur, Shorouq Alufaisan, Shaikha Alsedrah, Ghazanfar Latif, Arabic Braille Words Recognition using Deep Learning Techniques, 2020 PMU International Conference on Industrial Revolution 4.0 in Computing, Mobility, and Manufacturing (CMM 2020), Khobar, Saudi Arabia.

2019
  1. Shahad Abdullah Alghamdi, Lama Adel Boubshait, Reem Ali Alsadiq, Ghazanfar Latif, Jaafar Alghazo, Arabic Handwritten Word Recognition using Deep Convolutional Neural Networks, IEEE International Conference on Imaging Systems & Techniques (IST), 2019, Abu Dhabi, UAE.

 

  1. Nouf Aljasim, Ayat Alali, Zahra Alhamad, Ghazanfar Latif, Jaafar Alghazo, Detection of defects in Oil-Pipes using Autonomous Robots through Image Analysis, IEEE International Conference on Imaging Systems & Techniques (IST), 2019, Abu Dhabi, UAE.

 

2018
  1. Ghazanfar Latif, Dayang Nurfatimah, Automated Brain Tumor Detection, Analysis, and Visualization System, Innovation & Technology Exposition (InTEX18), Kuching, Malaysia, 2018.

 

 

 

 

Google Scholar:
https://scholar.google.com/citations?user=8VcBXHAAAAAJ

Research Gate:
https://www.researchgate.net/profile/Ghazanfar_Latif

Scopus:
https://www.scopus.com/authid/detail.uri?authorId=55250487100

ORCID: 
https://orcid.org/0000-0002-5931-9353

Personal Website:
http://glatif.com

May 2021 – April 2023

Post-Doctoral Fellow/ Researcher (FRQNT), University of Quebec, Canada

Jan. 2019 – May 2021
Research Coordinator & Lecturer, Deanship of Research and Graduate Studies, Prince Mohammad bin Fahd University, KSA

Jan. 2014 – Jan. 2016
Lab Instructor, College of Computer Engineering and Sciences, Prince Mohammad Bin Fahd University, KSA

Sep. 2011 – Jan. 2022
Offshore Freelancer, 150+ Freelance Projects with 3000+ hours of work at UpWork.com

Aug. 2010 – Sep. 2011
Cloud EHR Engineer, CareCloud - MTBC® A Unique Healthcare IT Company in USA

 

Courses Instructed (Prince Mohammad University, KSA)          January 2014 - Present
Current Position: Research Coordinator, Deanship of Research and Graduate Studies)

  1. Computer Vision                                                                                   (Taught 2 times)
  2. Artificial Intelligence                                                                              (Taught 4 times)
  3. Machine Learning                                                                                 (Taught 1 time)
  4. Computer Graphics                                                                               (Taught 6 times)
  5. Computer Organization                                                                         (Taught 5 times)
  6. System Programming                                                                            (Taught 7 times)
  7. Web Server Management                                                                      (Taught 1 time)
  8. Introduction to Cryptography                                                                 (Taught 1 time)
  9. Building Electronic Commerce                                                              (Taught 1 time)
  10. Introduction to Computing                                                                     (Taught 2 times)
  11. Electronic Commerce Security (MISY 4342)                                          (Taught 1 time)
  12. Introduction to Information Technology                                                  (Taught 2 times)
  13. Intermediate Programming for Information Systems                              (Taught 1 time)
  14. Introduction to Computer Concepts and Applications                             (Taught 6 times)
  15. Computer Network Security (Diploma Course)                                       (Taught 2 times)

Labs Conducted (Prince Mohammad University, KSA)  January 2014 - Till date

  1. Embedded Systems Lab                                                                        (Taught 10 times)
  2. Synthesis with Hardware Descriptive Languages Lab                           (Taught 1 time)
  3. Cloud Computing Lab                                                                            (Taught 1 time)
  4. Web Server Management Lab                                                               (Taught 1 time)
  5. Programming Languages Lab                                                                (Taught 3 times)
  6. System Programming Lab                                                                     (Taught 7 times)
  7. Web Programming Lab                                                                          (Taught 1 time)
  8. Computer Science 1 Lab                                                                       (Taught 6 times)
  9. Digital Signal Processing Lab                                                                (Taught 2 times)
  10. Circuits-I Lab                                                                                         (Taught 4 times)
  11. Computer Science 2 Lab                                                                       (Taught 8 times)

Deep Learning, Artificial Intelligence, Machine Learning, Medical Image Processing, Data Science, Data Mining, Computer VisionCloud Computing, Internet of Things, Image Analysis, Embedded System, Robotics.

 

IEEE Professional Membership (2017 - Till Date)

ACM Honorary Membership (2011-2012)