Publications

Research

Interdisciplinary Research Areas

Specialized Research Areas
  • Descriptive Analytics – Clustering, Segmentation, Visualization
  • Predictive Analytics – Classification, Regression, Case-based reasoning
  • Big Data, cloud computing and data-intensive systems
  • Intrusion detection and prevention in data mining
  • Wireless body Sensor Networks (WBSN)
  • Security Models Development for Information, Biometric & NLP
  • IoT and Internet of Medical Things (IoMT)
  • Artificial Intelligence, Data Science
  • Data Analytics & Visualization
  • Pattern Recognition & Image Processing
  • Biometrics and Pattern Recognition
  • Machine Learning and Deep Learning
  • Computational Intelligence
  • Natural Language Processing

Publications

Journals

Journals

  1. Saba, T., Akbar, S., Kolivand, H., & Ali Bahaj, S. (2021). Automatic detection of papilledema through fundus retinal images using deep learning. Microscopy Research and Technique, 84(12), 3066-3077.
  2. Hassan, S. A., Akbar, S., Rehman, A., Saba, T., Kolivand, H., & Bahaj, S. A. (2021). Recent Developments in Detection of Central Serous Retinopathy through Imaging and Artificial Intelligence Techniques–A Review. IEEE Access.
  3. Khan, M. A., Akram, T., Sharif, M., Alhaisoni, M., Saba, T., & Nawaz, N. (2021). A probabilistic segmentation and entropy-rank correlation-based feature selection approach for the recognition of fruit diseases. EURASIP Journal on Image and Video Processing, 2021(1), 1-28.
  4. Larabi-Marie-Sainte, S.; Alskireen, R.; Alhalawani, S. Emerging Applications of Bio-Inspired Algorithms in Image Segmentation. Electronics 2021, 10, 3116. https://doi.org/10.3390/electronics10243116
  5. Haseeb, K., Saba, T., Rehman, A., Ahmed, I., & Lloret, J. (2021). Efficient data uncertainty management for health industrial internet of things using machine learning. International Journal of Communication Systems, 34(16), e4948. 
  6. Rehman, A., Haseeb, K., Saba, T., & Kolivand, H. (2021). M-SMDM: A model of security measures using Green Internet of Things with Cloud Integrated Data Management for Smart Cities. Environmental Technology & Innovation, 24, 101802.
  7. Al-Hamar, Y., Kolivand, H., Tajdini, M., Saba, T., & Ramachandran, V. (2021). Enterprise Credential Spear-phishing attack detection. Computers & Electrical Engineering, 94, 107363.
  8. Rehman, A., Sadad, T., Saba, T., Hussain, A., & Tariq, U. (2021). Real-time diagnosis system of COVID-19 using X-ray images and deep learning. IT Professional, 23(4), 57-62.
  9. Kianat, J., Khan, M. A., Sharif, M., Akram, T., Rehman, A., & Saba, T. (2021). A joint framework of feature reduction and robust feature selection for cucumber leaf diseases recognition. Optik, 240, 166566.
  10. Shah, I., Akbar, S., Saba, T., Ali, S., & Rehman, A. (2021). Short-term forecasting for the electricity spot prices with extreme values treatment. IEEE Access, 9, 105451-105462.
  11. Shahzad, M. N., Ali, H., Saba, T., Rehman, A., Kolivand, H., & Bahaj, S. A. (2021). Identifying patients with PTSD utilizing resting-state fMRI data and neural network approach. IEEE Access, 9, 107941-107954.
  12. Khan, M. Z., Khan, M. U. G., Saba, T., Razzak, I., Rehman, A., & Bahaj, S. A. (2021). Hot-Spot zone detection to tackle COVID19 spread by fusing the traditional machine learning and deep learning approaches of computer vision. Ieee Access, 9, 100040-100049.
  13. Khan, M. A., Zhang, Y. D., Alhusseni, M., Kadry, S., Wang, S. H., Saba, T., & Iqbal, T. (2021). A fused heterogeneous deep neural network and robust feature selection framework for human actions recognition. Arabian Journal for Science and Engineering, 1-16.
  14. Rehman, A., Saba, T., Tariq, U., & Ayesha, N. (2021). Deep learning-based COVID-19 detection using CT and X-ray images: Current analytics and comparisons. IT Professional, 23(3), 63-68.
  15. Saba, T., Haseeb, K., Shah, A. A., Rehman, A., Tariq, U., & Mehmood, Z. (2021). A Machine-Learning-Based Approach for Autonomous IoT Security. IT Professional, 23(3), 69-75. 
  16. Saba, T., Rehman, A., Latif, R., Fati, S. M., Raza, M., & Sharif, M. (2021). Suspicious activity recognition using proposed deep L4-branched-ActionNet with entropy coded ant colony system optimization. IEEE Access, 9, 89181-89197.
  17. Tanveer, M., Shah, T., Rehman, A., Ali, A., Siddiqui, G. F., Saba, T., & Tariq, U. (2021). Multi-Images Encryption Scheme Based on 3D Chaotic Map and Substitution Box. IEEE Access, 9, 73924-73937. 
  18. Khan, S., Abbas, N., Nasir, M., Haseeb, K., Saba, T., Rehman, A., & Mehmood, Z. (2021). Steganography-assisted secure localization of smart devices in internet of multimedia things (IoMT). Multimedia Tools and Applications, 80(11), 17045-17065.
  19. Haimed, A. M. A., Saba, T., Albasha, A., Rehman, A., & Kolivand, M. (2021). Viral reverse engineering using Artificial Intelligence and big data COVID-19 infection with Long Short-term Memory (LSTM). Environmental Technology & Innovation, 22, 101531. 
  20. Saba, T., Sadad, T., Rehman, A., Mehmood, Z., & Javaid, Q. (2021). Intrusion Detection System Through Advance Machine Learning for the Internet of Things Networks. IT Professional, 23(2), 58-64.
  21. Khan, M. S., Anjum, A., Saba, T., Rehman, A., & Tariq, U. (2021). Improved Generalization for Secure Personal Data Publishing Using Deviation. IT Professional, 23(2), 75-80.
  22. Adnan, M. M., Rahim, M. S. M., Rehman, A., Mehmood, Z., Saba, T., & Naqvi, R. A. (2021). Automatic image annotation based on deep learning models: a systematic review and future challenges. IEEE Access.
  23. Saba, T., Rehman, A., Jamail, N. S. M., Marie-Sainte, S. L., Raza, M., & Sharif, M. (2021). Categorizing the Students’ Activities for Automated Exam Proctoring Using Proposed Deep L2-GraftNet CNN Network and ASO Based Feature Selection Approach. IEEE Access, 9, 47639-47656.
  24. Khan, M. A., Kadry, S., Zhang, Y. D., Akram, T., Sharif, M., Rehman, A., & Saba, T. (2021). Prediction of COVID-19-pneumonia based on selected deep features and one class kernel extreme learning machine. Computers & Electrical Engineering, 90, 106960.
  25. Iqbal, S., Siddiqui, G. F., Rehman, A., Hussain, L., Saba, T., Tariq, U., & Abbasi, A. A. (2021). Prostate Cancer Detection Using Deep Learning and Traditional Techniques. IEEE Access, 9, 27085-27100.
  26. Javed, R., Rahim, M. S. M., Saba, T., Fati, S. M., Rehman, A., & Tariq, U. (2021). Statistical Histogram Decision Based Contrast Categorization of Skin Lesion Datasets Dermoscopic Images. Comput. Mater. Contin, 67, 2337-2352.
  27. Afza, F., Khan, M. A., Sharif, M., Kadry, S., Manogaran, G., Saba, T., … & Damaševičius, R. (2021). A framework of human action recognition using length control features fusion and weighted entropy-variances based feature selection. Image and Vision Computing, 106, 104090.
  28. Rehman, A., Khan, M. A., Saba, T., Mehmood, Z., Tariq, U., & Ayesha, N. (2021). Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture. Microscopy Research and Technique, 84(1), 133-149.
  29. Rehman, A., Haseeb, K., Saba, T., Lloret, J., & Sendra, S. (2021). An Optimization Model with Network Edges for Multimedia Sensors Using Artificial Intelligence of Things. Sensors, 21(21), 7103.
  30. Rehman, A., Saba, T., Haseeb, K., Larabi Marie-Sainte, S., & Lloret, J. (2021). Energy-Efficient IoT e-Health Using Artificial Intelligence Model with Homomorphic Secret Sharing. Energies, 14(19), 6414.
  31. Rehman, A., Haseeb, K., Saba, T., Lloret, J., & Ahmed, Z. (2021). Mobility supports 5G architecture with real-time routing for sustainable smart cities. Sustainability, 13(16), 9092.
  32. Nawaz, M., Mehmood, Z., Bilal, M., Munshi, A. M., Rashid, M., Yousaf, R. M., … & Saba, T. (2021). Single and multiple regions duplication detections in digital images with applications in image forensic. Journal of Intelligent & Fuzzy Systems, 40(6), 10351-10371.
  33. Haider, W., Nisar, M. W., Saba, T., Sharif, M., Haider, R. U., Bilal, N. M., & Khan, M. A. (2021). A complexity reduced and reliable integrity protection for large relational data over clouds. International Journal of Information and Computer Security, 15(1), 49-66.
  34. Rehman, A., Haseeb, K., Saba, T., Lloret, J., & Tariq, U. (2021). Secured Big Data Analytics for Decision-Oriented Medical System Using Internet of Things. Electronics, 10(11), 1273.
  35. Khan, M. U. G., Naz, Z., Khan, J., Saba, T., Abunadi, I., Rehman, A., & Tariq, U. (2021). Cognitive Skill Enhancement System Using Neuro-Feedback for ADHD Patients. CMC-COMPUTERS MATERIALS & CONTINUA, 68(2), 2363-2376.
  36. Kalsum, T., Mehmood, Z., Kulsoom, F., Chaudhry, H. N., Khan, A. R., Rashid, M., & Saba, T. (2021). Localization and classification of human facial emotions using local intensity order pattern and shape-based texture features. Journal of Intelligent & Fuzzy Systems, (Preprint), 1-21.
  37. Durbhaka, G. K., Selvaraj, B., Mittal, M., Saba, T., Rehman, A., & Goyal, L. M. (2021). Swarm-LSTM: Condition monitoring of gearbox fault diagnosis based on hybrid LSTM deep neural network optimized by swarm intelligence algorithms. CMC-Comput. Mater. Continua, 66(2), 2041-2059.
  38. Awan, M. J., Rahim, M. S. M., Salim, N., Rehman, A., Nobanee, H., & Shabir, H. (2021). Improved Deep Convolutional Neural Network to Classify Osteoarthritis from Anterior Cruciate Ligament Tear Using Magnetic Resonance Imaging. Journal of Personalized Medicine, 11(11), 1163.
  39. Memon, S., Wang, J., Bhangwar, A. R., Fati, S. M., Rehman, A., Xu, T., & Zhang, L. (2021). Temperature and Reliability-Aware Routing Protocol for Wireless Body Area Networks. IEEE Access, 9, 140413-140423. 
  40. Sadad, T., Rehman, A., Hussain, A., Abbasi, A. A., & Khan, M. Q. (2021). A Review on Multi-organ Cancer Detection Using Advanced Machine Learning Techniques. Current medical imaging, 17(6), 686-694.
  41. Shah, I., Sajid, F., Ali, S., Rehman, A., Bahaj, S. A., & Fati, S. M. (2021). On the Performance of Jackknife Based Estimators for Ridge Regression. IEEE Access, 9, 68044-68053.
  42. Haimed, A. M. A., Saba, T., Albasha, A., Rehman, A., & Kolivand, M. (2021). Viral reverse engineering using Artificial Intelligence and big data COVID-19 infection with Long Short-term Memory (LSTM). Environmental Technology & Innovation, 22, 101531.
  43. Ejaz, K., Rahim, M. S. M., Bajwa, U. I., Chaudhry, H., Rehman, A., & Ejaz, F. (2020). Hybrid segmentation method with confidence region detection for tumor identification. IEEE Access, 9, 35256-35278.
  44. Ayesha, H., Iqbal, S., Tariq, M., Abrar, M., Sanaullah, M., Abbas, I., … & Hussain, S. (2021). Automatic medical image interpretation: State of the art and future directions. Pattern Recognition, 107856.
  45. Rehman, A., Haseeb, K., Fati, S. M., Lloret, J., & Peñalver, L. (2021). Reliable Bidirectional Data Transfer Approach for the Internet of Secured Medical Things Using ZigBee Wireless Network. Applied Sciences, 11(21), 9947.
  46. Rehman, A. NEURAL COMPUTING FOR ONLINE ARABIC HANDWRITING RECOGNITION USING HARD STROKE FEATURES MINING., International Journal of Innovative Computing, Information and Control, vol. 17(1), pp. 177-191
  47. Souad Larabi-Marie-Sainte. “Outlier Detection Based Feature Selection Exploiting Bio-Inspired Optimization Algorithms”.  Applied Sciences – MDPI, 11(5), 6769. [ISI – Web of Science Q3, Scopus Q2 – Impact factor 2.287].  https://doi.org/10.3390/app11156769
  48. Souad Larabi-Marie-Sainte, Betool S. Alnamlah, Norah F. Alkassim, Sara Y. Alshathry. “A new framework for Arabic recitation using speech recognition and Jaro Winkler algorithm”. Kuwait Journal of Sciences, ISSN 2307-4108, Accepted in Feb 2021. [ISI Web of Science – Scopus Q2].
  49. Amjad Rehman, Tanzila Saba, Khalid Haseeb, Souad Larabi-Marie-Sainte, Jaime Lloret. “Energy-Efficient IoT e-Health Using Artificial Intelligence Model with Homomorphic Secret Sharing”. MDPI Energy Journal, 14(6414). [ISI – WOS Q3 – Scopus Q2 Impact factor 3.004]. https://doi.org/10.3390/en14196414.
  50. Tanzila Saba, Amjad Rehman, Nor Shahida Jamail, Souad Larabi-Marie-Sainte, Mudassar Raza, and Muhammad Sharif. “Categorizing the Students? Activities for Automated Exam Proctoring using Proposed Deep L2-GraftNet CNN Network and ASO Based Feature Selection Approach”. IEEE ACCESS Journal, pp: 1-18, March 2021. [ISI – Web of Science Q1 – Scopus Q1 – Impact factor 0. 4.098]. DOI: https://doi.org/10.1109/ACCESS.2021.3068223.
  51. The Impact of Coronavirus Pandemic (covid-19) On Education: The Role Of Virtual And Remote Laboratories In Education, Technology in Education, ELSEVIER, Sept 2021, IF-4.19
  52. Sana Akhtar, Rabia Latif, Faiza Iqbal, Ayesha Altaf, “exGDD: Extended Game Design Document template for Mobile Game Design and Development”, International Journal of Applied Engineering Research, Vol. 6 No. 2 (July-December 2021)
  53. Rida Nasir, Mehreen Afzal, Rabia Latif, Waseem Iqabl, “Behavioral Based Insider Threat Detection Using Deep Learning, IEEE Access, October 2021.
  54. Muhammad Waleed, Rabia Latif, Bello Musa Yakubu, Majid Iqbal Khan, Seemab Latif, “T-Smart: Trust Model for Blockchain Based Smart Marketplace, Journal of Theoretical and Applied Electronic Commerce Research, September 2021
  55. Seemab Latif, Faisal Shafait, Rabia Latif, “Analyzing LDA and NMF Topic Models for Urdu Tweets via Automatic Labeling, IEEE Access 9, 127531-127547 (2021)
  56. Rabia Latif, Malik Uzair Ahmed, Shahzaib Tahir, Seemab Latif, Waseem Iqbal, Awais Ahmad: “A Novel Trust Management Model for Edge Computing & quot; Complex & Intelligent Systems, 2021.
  57. Tanzila Saba, Amjad Rehman, Rabia Latif, Suliman Mohamed Fati, Mudassar Raza, Muhammad Sharif: Suspicious Activity Recognition Using Proposed Deep L4-Branched- Actionnet With Entropy Coded Ant Colony System Optimization. IEEE Access 9: 89181- 89197 (2021)
  58. Rabia Latif, Syeda Hadia Afzaal, Seemab Latif, “A Novel Cloud Management Framework for Trust Establishment and Evaluation in a Federated Cloud Environment”. Journal of Supercomputing, 2021.
  59. Akbar, Nur A., Amgad Muneer, Narmine ElHakim, and Suliman M. Fati 2021. “Distributed Hybrid Double-Spending Attack Prevention Mechanism for Proof-of-Work and Proof-of-Stake Blockchain Consensuses” Future Internet 13, no. 11: 285. https://doi.org/10.3390/fi13110285
  60. Rehman, Amjad, Khalid Haseeb, Suliman M. Fati, Jaime Lloret, and Lourdes Peñalver. 2021. “Reliable Bidirectional Data Transfer Approach for the Internet of Secured Medical Things Using ZigBee Wireless Network” Applied Sciences 11, no. 21: 9947. https://doi.org/10.3390/app11219947
  61. Khan, Amjad Rehman, Fatemeh Doosti, Mohsen Karimi, Majid Harouni, Usman Tariq, Suliman Mohamed Fati, and Saeed Ali Bahaj. “Authentication through gender classification from iris images using a support vector machine.” Microscopy research and technique (2021).
  62. Muneer, Amgad, Suliman Mohamed Fati, Nur Arifin Akbar, David Agustriawan, and Setyanto Tri Wahyudi. “iVaccine-Deep: Prediction of COVID-19 mRNA Vaccine Degradation using Deep Learning.” Journal of King Saud University-Computer and Information Sciences (2021)
  63. Memon, Saifullah, Jingyu Wang, Ali Raza Bhangwar, Suliman Mohamed Fati, Amjad Rehman, Tong Xu, and Lei Zhang. “Temperature and Reliability-aware Routing protocol for Wireless Body Area Networks.” IEEE Access (2021)
  64. Amgad Muneer, Shakirah Mohd Taib, Suliman Mohamed Fati, Abdullateef O. Balogun, and Izzatdin Abdul Aziz (2021). “A Hybrid Deep Learning-Based Unsupervised Anomaly Detection in High Dimensional Data” Comput. Mater. Continu X (2021).
  65. Amgad Muneer, Rao Faizan Ali, Suliman Mohamed Fati, Sheraz Naseer (2021). “COVID-19 Recognition using Self-supervised Learning Approach in Three New Computed Tomography Databases” Journal of Hunan University Natural Science
  66. Nur Arifin Akbar, Irma Darmayanti, Suliman Mohamed Fati, Amgad Muneer (2021). “Deep Learning of a Pre-trained Language Model’s Joke Classifier Using GPT-2” Journal of Hunan University Natural Science.
  67. Ghaleb, Ebrahim A.A., P. D.D. Dominic, Suliman M. Fati, Amgad Muneer, and Rao F. Ali 2021. “The Assessment of Big Data Adoption Readiness with a Technology–Organization–Environment Framework: A Perspective towards Healthcare Employees” Sustainability 13, no. 15: 8379. https://doi.org/10.3390/su13158379
  68. Betool Alnamlah, Sara Alshathry, Norah Alkassim, Nor Shahida Mohd Jamail,The necessity of a lead person to monitor development stages of the DevOps pipeline, Indonesian Journal of Electrical Engineering and Computer Science, Vol. 21, No. 1, January 2021, pp. 348~353
  69. Nouf Bin saif, Mashael Almohawes, Nor Shahida Mohd Jamail, The impact of user involvement in software development process, Indonesian Journal of Electrical Engineering and Computer Science, Vol. 21, No. 1, January 2021, pp. 354~359 
  70. Leanah Alsaber, Ebtesam Al Elsheikh, Sarah Aljumah, Nor Shahida Mohd Jamail, Perspectives on the adherance to scrum rules in software project management, Indonesian Journal of Electrical Engineering and Computer Science, Vol. 21, No. 1, January 2021, pp. 360~366
  71. Leanah Alsaber, Ebtesam Al Elscheikh, Sarah Aljumah, Nor Shahida Mohd Jamail, “Scrumbear” framework for solving traditional scrum model problems,Bulletin of Electrical Engineering and Informatics (BEEI), Vol.10, No.1, February2021, pp. 319~326
  72. Gabriela Mogos, Nor Shahida Mohd Jamail, Study on security risks of e-banking system, Indonesian Journal of Electrical Engineering and Computer Science, Vol. 21, No. 2, February 2021, pp. 1065~1072
  73. Rabia Javed;Tanzila Saba;Salman Humdullah;Nor Shahida Mohd Jamail;Mazhar Javed Awan, An Efficient Pattern Recognition Based Method for Drug-Drug Interaction Diagnosis, 2021 1st International Conference on Artificial Intelligence and Data Analytics (CAIDA), IEEE, Publication Year: 2021,Page(s):221 – 226
  74. Sadia Ali, Yaser Hafeez, Mamoona Humayun, Nor Shahida Mohd Jamail, Muhammad Aqib, Asif Nawaz, Enabling Recommendation System Architecture in Virtualized Environment for E-Learning, Egyptian Informatics Journal, pp May 15, 2021.
  75. Tanzila Saba, Amjad Rehman, Nor Shahida Mohd Jamail1, Souad Larabi -Marie-Sainte, Mudassar Raza, Muhammad Sharif, Categorizing the Students’ Activities for Automated Exam Proctoring using Proposed Deep L2-GraftNet CNN Network and ASO Based Feature Selection Approach, IEEE, VOLUME 9, 2021, pp 47639-47656
  76. Comprehensive Study: Octave Allegro Risk Assessment and STRIDE Threat Modelling, Journal of Network and Computer Applications
  77. Khaled M. Almustafa, “Covid19-Mexican-Patients’ Dataset (Covid19MPD) Classification and Prediction Using Feature Importance”, Concurrency and Computation: Practice and Experience, Wiley, September 24, 2021. doi: 10.1002/cpe.6675. Wiley, (Q3)
  78. Khaled M. Almustafa, “Prediction of chronic kidney disease using different classification algorithms”, Accepted at the Informatics in Medicine Unlocked, ISSN 2352-9148, https://doi.org/10.1016/j.imu.2021.100631 June 2021, Elsevier (Q3)
  79. Al-Ghobari, Mohanad, Amgad Muneer, and Suliman Mohamed Fati. “Location-Aware Personalized Traveler Recommender System (LAPTA) Using Collaborative Filtering KNN.” Comput. Mater. Continu 68 (2021).
  80. Sajjad, Muhammad, Farheen Ramzan, Muhammad Usman Ghani Khan, Amjad Rehman, Mahyar Kolivand, Suliman Mohamed Fati, and Saeed Ali Bahaj. “Deep convolutional generative adversarial network for Alzheimer’s disease classification using positron emission tomography (PET) and synthetic data augmentation.” Microscopy Research and Technique (2021).
  81. Saba, Tanzila, Amjad Rehman, Rabia Latif, Suliman Mohamed Fati, Mudassar Raza, and Muhammad Sharif. “Suspicious Activity Recognition Using Proposed Deep L4-Branched-Actionnet With Entropy Coded Ant Colony System Optimization.” IEEE Access 9 (2021): 89181-89197.
  82. Khan, Amjad Rehman, Fatemeh Doosti, Mohsen Karimi, Majid Harouni, Usman Tariq, Suliman Mohamed Fati, and Saeed Ali Bahaj. “Authentication through gender classification from iris images using support vector machine.” Microscopy research and technique (2021).
  83. Naseer, Sheraz, Rao Faizan Ali, Suliman Mohamed Fati, and Amgad Muneer. “iNitroY-Deep: Computational Identification of Nitrotyrosine Sites to Supplement Carcinogenesis Studies Using Deep Learning.” IEEE Access 9 (2021): 73624-73640.
  84. Shah, Ismail, Faiza Sajid, Sajid Ali, Amjad Rehman, Saeed Ali Bahaj, and Suliman Mohamed Fati. “On the Performance of Jackknife Based Estimators for Ridge Regression.” IEEE Access 9 (2021): 68044-68053.
  85. Sadad, Tariq, Amjad Rehman Khan, Ayyaz Hussain, Usman Tariq, Suliman Mohamed Fati, Saeed Ali Bahaj, and Asim Munir. “Internet of medical things embedding deep learning with data augmentation for mammogram density classification.” Microscopy Research and Technique (2021).
  86. Suliman Mohamed Fati. “Detecting Cyberbullying across Social Media Platforms in Saudi Arabia Using Sentiment Analysis: A Case Study.” The Computer Journal (2021).
  87. Suliman Mohamed Fati, Amgad Muneer, Nur Arifin Akbar, and Shakirah Mohd Taib. “A Continuous Cuffless Blood Pressure Estimation Using Tree-Based Pipeline Optimization Tool.” Symmetry 13, no. 4 (2021): 686.
  88. Naseer, Sheraz, Rao Faizan Ali, Amgad Muneer, and Suliman Mohamed Fati. “IAmideV-deep: Valine amidation site prediction in proteins using deep learning and pseudo amino acid compositions.” Symmetry 13, no. 4 (2021): 560.
  89. Alqourabah, Hamood, Amgad Muneer, and Suliman Mohamed Fati. “A Smart Fire Detection System using IoT Technology With Automatic Water Sprinkler.” International Journal of Electrical and Computer Engineering (IJECE) 9, no. 4 (2021).
  90. Hamas, Abdullah, Amgad Muneer, and Suliman Mohamed Fati. “Smart Security Door System Using SMS Based Energy Harvest.” International Journal of Electrical and Computer Engineering (IJECE) 9, no. 4 (2021).
  91. R. Javed, M. Shafry, T. Saba, S. M. Fati, A. Rehman et al., “Statistical histogram decision based contrast categorization of skin lesion datasets dermoscopic images,” Computers, Materials & Continua, vol. 67, no.2, pp. 2337–2352, 2021.
  1. A framework of human action recognition using length control features fusion and weighted entropy-variances based feature selection, F Afza, MA Khan, M Sharif, S Kadry, G Manogaran, T Saba, I Ashraf, Image and Vision Computing, 104090, 2020.

 

  1. A comparative study of features selection for skin lesion detection from dermoscopic images, R Javed, MSM Rahim, T Saba, A Rehman, Network Modeling Analysis in Health Informatics and Bioinformatics 9 (1),2020

 

  1. Secure and energy-efficient framework using Internet of Medical Things for e-healthcare,T Saba, K Haseeb, I Ahmed, A Rehman, Journal of Infection and Public Health 13 (10), 1567-1575,3,2020

 

  1. Brain tumor detection: a long short-term memory (LSTM)-based learning model, J Amin, M Sharif, M Raza, T Saba, R Sial, SA Shad, Neural Computing and Applications 32 (20), 15965-15973,4,2020

 

  1. Secure and energy-aware heuristic routing protocol for wireless sensor network, K Haseeb, KM Almustafa, Z Jan, T Saba, U Tariq, IEEE Access 8, 163962-163974,1,2020

 

  1. A Hybrid Deep Learning Architecture for the Classification of Superhero Fashion Products: An Application for Medical-Tech Classification, Mashood Nasir, M Attique Khan, M Alhaisoni, T Saba, A Rehman, T Iqbal, Computer Modeling in Engineering & Sciences 124 (3), 1017-1033,1,2020.

 

  1. Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges, T Saba, Journal of Infection and Public Health 13 (9), 1274-1289,1,2020

 

  1. Melanoma Detection and Classification using Computerized Analysis of Dermoscopic Systems: A Review, M Nasir, MA Khan, M Sharif, MY Javed, T Saba, H Ali, J Tariq, Current Medical Imaging 16 (7), 794-822,2020

 

  1. Reliability Analysis for Electronic Devices Using Generalized Exponential Distribution, S Ali, S Ali, I Shah, GF Siddiqui, T Saba, A Rehman, IEEE Access 8, 108629-108644,2020

 

  1. Volumetric Segmentation of Brain Regions From MRI Scans Using 3D Convolutional Neural Networks, F Ramzan, MUG Khan, S Iqbal, T Saba, A Rehman, IEEE Access 8, 103697-103709,2,2020

 

  1. Cursive multilingual characters recognition based on hard geometric features, A Rehman, M Harouni, T Saba, International Journal of Computational Vision and Robotics 10 (3), 213-222,2,2020

 

  1. Microscopic melanoma detection and classification: A framework of pixel‐based fusion and multilevel features reduction, A Rehman, MA Khan, Z Mehmood, T Saba, M Sardaraz, M Rashid,Microscopy Research and Technique 83 (4), 410-423,13, 2020

 

  1. A machine learning method with threshold based parallel feature fusion and feature selection for automated gait recognition, M Sharif, M Attique, MZ Tahir, M Yasmim, T Saba, UJ Tanik,Journal of Organizational and End User Computing (JOEUC) 32 (2), 67-92,10,2020

 

  1. Use of machine intelligence to conduct analysis of human brain data for detection of abnormalities in its cognitive functions, J Amin, M Sharif, M Yasmin, T Saba, M Raza, Multimedia Tools and Applications 79 (15), 10955-10973,9,2020

 

  1. An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection, MA Khan, T Akram, M Sharif, K Javed, M Raza, T Saba, Multimedia Tools and Applications, 1-30,7,2020

 

  1. Reduced Reference Image Quality Assessment Technique Based on DWT and Path Integral Local Binary Patterns, N Abbas, T Saba, S Khan, Z Mehmood, A Rehman, R Tabasum, Arabian Journal for Science and Engineering, 1-15,2020

 

  1. LSDAR: A Light-weight Structure based Data Aggregation Routing Protocol with Secure Internet of Things Integrated Next-generation Sensor Networks, K Haseeb, N Islam, T Saba, A Rehman, Z Mehmood, Sustainable Cities and Society 54,7,2020

 

  1. Boosting the performance of the BoVW model using SURF–CoHOG-based sparse features with relevance feedback for CBIR, F Baig, Z Mehmood, M Rashid, MA Javid, A Rehman, T Saba, A Adnan, Iranian Journal of Science and Technology, Transactions of Electrical,10,2020

 

  1. A deep learning approach for automated diagnosis and multi-class classification of Alzheimer’s disease stages using resting-state fMRI and residual neural networks, F Ramzan, MUG Khan, A Rehmat, S Iqbal, T Saba, A Rehman, Journal of Medical Systems 44 (2), 37,9,2020

 

  1. Hand-crafted and deep convolutional neural network features fusion and selection strategy: an application to intelligent human action recognition, MA Khan, M Sharif, T Akram, M Raza, T Saba, A Rehman, Applied Soft Computing 87, 105986,17,2020

 

  1. Handling Irregularly Sampled Longitudinal Data and Prognostic Modeling of Diabetes Using Machine Learning Technique, S Perveen, M Shahbaz, T Saba, K Keshavjee, A Rehman, A Guergachi,IEEEAccess 8, 21875-21885,2,2020

 

  1. Intelligent game-based learning: an effective learning model approach, T Saba, International Journal of Computer Applications in Technology 64 (2), 208-221,2020

 

  1. Skew decision process based on machine learning content analysis and clustering,T Saba, International Journal of Computer Applications in Technology 63 (3), 191-199,2020

 

  1. EGCIR: Energy-Aware Graph Clustering and Intelligent Routing Using Supervised System in Wireless Sensor Networks, T Saba, K Haseeb, I Ud Din, A Almogren, A Altameem, SM Fati, Energies 13 (16), 4072,2020

 

  1. A sustainable deep learning framework for object recognition using multi-layers deep features fusion and selection, M Rashid, MA Khan, M Alhaisoni, SH Wang, SR Naqvi, A Rehman, Sustainability 12 (12), 5037,5,2020

 

  1. Detecting Pneumonia Using Convolutions and Dynamic Capsule Routing for Chest X-ray Images, A Mittal, D Kumar, M Mittal, T Saba, I Abunadi, A Rehman, S Roy, Sensors 20 (4), 1068,17, 2020

 

  1. Efficient Hybrid Clustering Scheme for Data Delivery Using Internet of Things Enabled Vehicular Ad Hoc Networks in Smart City Traffic Congestion, A Sharif, JP Li, MA Saleem, T Saba, R Kumar, Journal of Internet Technology 21 (1), 149-157,1,2020

 

  1. Malicious Insider Attack Detection in IoTs Using Data Analytics, AY Khan, R Latif, S Latif, S Tahir, G Batool, T Saba, IEEE Access 8, 11743-11753,8,2020

 

  1. Brain tumor detection using fusion of hand crafted and deep learning features,T Saba, AS Mohamed, M El-Affendi, J Amin, M Sharif, Cognitive Systems Research 59, 221-230,19,2020

 

  1. Enhancing fragility of zero-based text watermarking utilizing effective characters list,T Saba, M Bashardoost, H Kolivand, MSM Rahim, A Rehman, MA Khan, Multimedia Tools and Applications, 79 (1), 341-354

 

  1. Recent Developments in Detection of Central Serous Retinopathy through Imaging and Artificial Intelligence Techniques – A Review, T Sadad, A Rehman, A Hussain, AA Abbasi, MQ Khan,Current medical imaging,2020

 

  1. BoVW model based on adaptive local and global visual words modeling and log-based relevance feedback for semantic retrieval of the images, R Bibi, Z Mehmood, RM Yousaf, M Tahir, A Rehman, M Sardaraz, EURASIP Journal on Image and Video Processing 2020 (1), 1-30,2020

 

  1. Hybrid segmentation method with confidence region detection for tumor identification, K Ejaz, MSM Rahim, UI Bajwa, H Chaudhry, A Rehman, F Ejaz, IEEE Acces,1,2020

 

  1. Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists, MA Khan, I Ashraf, M Alhaisoni, R Damaševičius, R Scherer, A Rehman,Diagnostics 10 (8), 565,8,2020

 

  1. A resource conscious human action recognition framework using 26-layered deep convolutional neural network, MA Khan, YD Zhang, SA Khan, M Attique, A Rehman, S Seo, Multimedia Tools and Applications, 1-23,3,2020

 

  1. An ensemble of neural networks for nonlinear segmentation of overlapped cursive script, A Rehman, International Journal of Computational Vision and Robotics 10 (4), 275-288,1,2020

 

  1. Classification of stomach infections: A paradigm of convolutional neural network along with classical features fusion and selection, A Majid, MA Khan, M Yasmin, A Rehman, A Yousafzai, U Tariq, Microscopy research and technique 83 (5), 562-576,19,2020

 

  1. Study of software development cost estimation techniques and models, J Rashid, MW Nisar, T Mahmood, A Rehman, SY Arafat, Mehran University Research Journal Of Engineering & Technology 39 (2), 413,2020

 

  1. Efficient hybrid approach to segment and classify exudates for DR prediction,M Sharif, J Amin, M Yasmin, A Rehman, Multimedia Tools and Applications 79 (15), 11107-11123,3,2020

 

  1. Reduced Reference Image Quality Assessment Technique Based on DWT and Path Integral Local Binary Patterns,N Abbas, T Saba, S Khan, Z Mehmood, A Rehman, R Tabasum, Arabian Journal for Science and Engineering, 1-15,2020

 

  1. A sustainable deep learning framework for object recognition using multi-layers deep features fusion and selection,M Rashid, MA Khan, M Alhaisoni, SH Wang, SR Naqvi, A Rehman, Sustainability 12 (12), 5037,5,2020

 

  1. Blockchain Based Sustainable Local Energy Trading Considering Home Energy Management and Demurrage Mechanism, AS Yahaya, N Javaid, FA Alzahrani, A Rehman, I Ullah, A Shahid, Sustainability 12 (8), 3385,12,2020

 

  1. Multi-Objective Particle Swarm Optimization-based Feature Selection for Face Recognition, S Larabi-Marie-Sainte, S Ghouzali, Studies in Informatics and Control 29 (1), 99-109,2020

 

  1. Firefly algorithm based feature selection for Arabic text classification, SL Marie-Sainte, N Alalyani, Journal of King Saud University-Computer and Information Sciences 32 (3)28,2020

 

  1. Face identification based bio-inspired algorithms. S Ghouzali, SL Marie-Sainte, Int. Arab J. Inf. Technol. 17 (1), 118-127,2020

 

  1. Prediction of heart disease and classifiers’ sensitivity analysis, KM Almustafa, BMC bioinformatics 21 (1), 1-18,1,2020

 

  1. Automatic NoSQL to Relational Database Transformation with Dynamic Schema Mapping, Z Aftab, W Iqbal, KM Almustafa, F Bukhari, M Abdullah, Scientific Programming 2020,

 

  1. Online Workload Burst Detection for Efficient Predictive Auto scaling of Applications, F Tahir, M Abdullah, F Bukhari, KM Almustafa, W Iqbal, IEEE Access 8, 73730-73745,1,2020

 

  1. Cleft prediction before birth using deep neural network, N Shafi, F Bukhari, W Iqbal, KM Almustafa, M Asif, Z Nawaz, Health Informatics Journal, 1460458220911789,3,2020

 

  1. Dynamic Horizontal and Vertical Scaling for Multi-tier Web Applications,ANisar, W Iqbal, F Bokhari, F Bukhari, K Almustafa, INTELLIGENT AUTOMATION AND SOFT COMPUTING 26 (2), 353-365,2020

 

  1. Classification of epileptic seizure dataset using different machine learning algorithms, KMAlmustafa , Informatics in Medicine Unlocked 21, 100444,2020

 

  1. Modelling Virtual Machine Workload in Heterogeneous Cloud Computing Platforms, SM Fati, AK Jaradat, I Abunadi, AS Mohammed, Journal of Information Technology Research (JITR) 13 (4), 1-15

 

  1. Development of intelligent road maintenance system mobile apps for a highway, NHM Jamail, AH AG, NSM Jamail, Bulletin of Electrical Engineering and Informatics 9 (6), 2350-2357,2020

 

  1. Integrating Scrum development process with UX design flow,NK Al Ghanmi, NSM Jamail, Bulletin of Electrical Engineering and Informatics 9 (6), 2630-2636, 2020

 

  1. Review of space charge measurement by pulsed electro-acoustic technique, MHAS Kandar, NAM Jamail, NA Othman, QE Kamarudin, NSM Jamail, Indonesian Journal of Electrical Engineering and Computer Science 20 (2)2020

 

  1. A computational forensic framework for detection of hidden applications on Android,NSMJTahiraRasul, Rabia Latif, Indonesian Journal of Electrical Engineering and Computer Science 20 ,2020

 

  1. “Scrumbear” framework for solving traditional scrum model problems, L Alsaber, E Al Elsheikh, S Aljumah, NSM Jamail, Bulletin of Electrical Engineering and Informatics 10 (1), 319-326,2020

 

  1. Software Cost Estimation Using Expert Judgement, COCOMO and Function Points

NSMJ Nora Khaled AlGhanmi, International Journal of Advanced Science and Technology 29 (No. 9s), 1158-1166,            2020

 

  1. Risk Management in Agile and Waterfall Models: A Review, NSMJ Sara Alshathry, BetoolAlnamlah, Norah Alkassim, International Journal of Advanced Science and Technology 29 (No. 9s), 1149-1157,2020

 

  1. Analysis of Pressure Effects for Current Density and Electric Field Performance of Gas Insulations, NAM Jamail, M Hisham, MS Kamarudin, MFM Yousof, QE Kamarudin,International Journal of Integrated Engineering 12 (2), 89-96,2020

 

  1. Application of Polarization and Depolarization Current in High Voltage Insulator-A Review, NSunthrasakaran, NAM Jamail, NSM Jamail, MNR Baharom,MAMPiah,International Journal of Integrated Engineering 12 (2), 159-169

 

  1. Kleptographic Attack on Elliptic Curve Based Cryptographic Protocols, A Sajjad, M Afzal, MMW Iqbal, H Abbas, R Latif, RA Raza, IEEE Access 8, 139903-139917,2020

 

  1. Analytical study of hardware-rooted security standards and their implementation techniques in mobile, N Ashraf, A Masood, H Abbas, R Latif, N Shafqat, Telecommunication Systems, 1-25,2020
Anim pariatur cliche reprehenderit, enim eiusmod high life accusamus terry richardson ad squid. 3 wolf moon officia aute, non cupidatat skateboard dolor brunch. Food truck quinoa nesciunt laborum eiusmod. Brunch 3 wolf moon tempor, sunt aliqua put a bird on it squid single-origin coffee nulla assumenda shoreditch et. Nihil anim keffiyeh helvetica, craft beer labore wes anderson cred nesciunt sapiente ea proident. Ad vegan excepteur butcher vice lomo. Leggings occaecat craft beer farm-to-table, raw denim aesthetic synth nesciunt you probably haven’t heard of them accusamus labore sustainable VHS.
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Conferences

Conferences

  1. SNAD Arabic Dataset for Deep Learning, D AlSaleh, MB AlAmir, S Larabi-Marie-Sainte, Proceedings of SAI Intelligent Systems Conference, 630-640,2020

 

  1. Enhancing Credit Card Fraud Detection Using Deep Neural Network, SL Marie-Sainte, MB Alamir, D Alsaleh, G Albakri, J Zouhair, Science and Information Conference, 301-313,2020

 

  1. An Adaptive Image Processing Model of Plant Disease Diagnosis and Quantification Based on Color and Texture Histogram, W Ismail, MA Khan, SA Shah, MY Javed, A Rehman, T Saba, 2020 2nd International Conference on Computer and Information Sciences,2020

 

  1. Skin Lesion Classification: An Optimized Framework of Optimal Color Features Selection, F Afza, MA Khan, M Sharif, T Saba, A Rehman, MY Javed, 2020 2nd International Conference on Computer and Information Sciences,2020

 

  1. Fractional-Order Control of a Fuel Cell–Boost Converter System, A Fekik, AT Azar, NA Kamal, H Denoun, KM Almustafa, L Hamida, International Conference on Advanced Machine Learning Technologies, 2020

 

  1. Detection and Prevention of a Malicious Activity in Industrial Federated Cloud Computing Paradigm, A Gerard, R Latif, W Iqbal, N Gerard, AH Johar, U Asghar, International Conference on Applied Human Factors and Ergonomics, 393-399,2020

 

  1. Backward-Forward Sequence Generative Network for Multiple Lexical Constraints, S Latif, S Bashir, MMA Agha, R Latif, IFIP International Conference on Artificial Intelligence Applications,2020
Anim pariatur cliche reprehenderit, enim eiusmod high life accusamus terry richardson ad squid. 3 wolf moon officia aute, non cupidatat skateboard dolor brunch. Food truck quinoa nesciunt laborum eiusmod. Brunch 3 wolf moon tempor, sunt aliqua put a bird on it squid single-origin coffee nulla assumenda shoreditch et. Nihil anim keffiyeh helvetica, craft beer labore wes anderson cred nesciunt sapiente ea proident. Ad vegan excepteur butcher vice lomo. Leggings occaecat craft beer farm-to-table, raw denim aesthetic synth nesciunt you probably haven’t heard of them accusamus labore sustainable VHS.
Anim pariatur cliche reprehenderit, enim eiusmod high life accusamus terry richardson ad squid. 3 wolf moon officia aute, non cupidatat skateboard dolor brunch. Food truck quinoa nesciunt laborum eiusmod. Brunch 3 wolf moon tempor, sunt aliqua put a bird on it squid single-origin coffee nulla assumenda shoreditch et. Nihil anim keffiyeh helvetica, craft beer labore wes anderson cred nesciunt sapiente ea proident. Ad vegan excepteur butcher vice lomo. Leggings occaecat craft beer farm-to-table, raw denim aesthetic synth nesciunt you probably haven’t heard of them accusamus labore sustainable VHS.

Thesis

Conferences

  1. SNAD Arabic Dataset for Deep Learning, D AlSaleh, MB AlAmir, S Larabi-Marie-Sainte, Proceedings of SAI Intelligent Systems Conference, 630-640,2020

 

  1. Enhancing Credit Card Fraud Detection Using Deep Neural Network, SL Marie-Sainte, MB Alamir, D Alsaleh, G Albakri, J Zouhair, Science and Information Conference, 301-313,2020

 

  1. An Adaptive Image Processing Model of Plant Disease Diagnosis and Quantification Based on Color and Texture Histogram, W Ismail, MA Khan, SA Shah, MY Javed, A Rehman, T Saba, 2020 2nd International Conference on Computer and Information Sciences,2020

 

  1. Skin Lesion Classification: An Optimized Framework of Optimal Color Features Selection, F Afza, MA Khan, M Sharif, T Saba, A Rehman, MY Javed, 2020 2nd International Conference on Computer and Information Sciences,2020

 

  1. Fractional-Order Control of a Fuel Cell–Boost Converter System, A Fekik, AT Azar, NA Kamal, H Denoun, KM Almustafa, L Hamida, International Conference on Advanced Machine Learning Technologies, 2020

 

  1. Detection and Prevention of a Malicious Activity in Industrial Federated Cloud Computing Paradigm, A Gerard, R Latif, W Iqbal, N Gerard, AH Johar, U Asghar, International Conference on Applied Human Factors and Ergonomics, 393-399,2020

 

  1. Backward-Forward Sequence Generative Network for Multiple Lexical Constraints, S Latif, S Bashir, MMA Agha, R Latif, IFIP International Conference on Artificial Intelligence Applications,2020
Anim pariatur cliche reprehenderit, enim eiusmod high life accusamus terry richardson ad squid. 3 wolf moon officia aute, non cupidatat skateboard dolor brunch. Food truck quinoa nesciunt laborum eiusmod. Brunch 3 wolf moon tempor, sunt aliqua put a bird on it squid single-origin coffee nulla assumenda shoreditch et. Nihil anim keffiyeh helvetica, craft beer labore wes anderson cred nesciunt sapiente ea proident. Ad vegan excepteur butcher vice lomo. Leggings occaecat craft beer farm-to-table, raw denim aesthetic synth nesciunt you probably haven’t heard of them accusamus labore sustainable VHS.
Anim pariatur cliche reprehenderit, enim eiusmod high life accusamus terry richardson ad squid. 3 wolf moon officia aute, non cupidatat skateboard dolor brunch. Food truck quinoa nesciunt laborum eiusmod. Brunch 3 wolf moon tempor, sunt aliqua put a bird on it squid single-origin coffee nulla assumenda shoreditch et. Nihil anim keffiyeh helvetica, craft beer labore wes anderson cred nesciunt sapiente ea proident. Ad vegan excepteur butcher vice lomo. Leggings occaecat craft beer farm-to-table, raw denim aesthetic synth nesciunt you probably haven’t heard of them accusamus labore sustainable VHS.

Books

Edited Books

Datasets

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Funded-Projects

Research Projects

1.1 Submitted Research Projects

Project Title: Exam Activity Monitoring by Analyzing Students Behavior Using Deep Learning Model-SEED Research Project.– Status: Submitted

– PI: Dr. Tanzila Saba

– Budget: 10000SAR

– Funding : Prince Sultan University, Saudi Arabia

– Duration: 12 months

 

Project Title: Image Forgery Detection using Curvelet Transform and Clustering- SEED Research Project.

– Status: Submitted

– PI: Dr. Tanzila Saba

– Budget: 10000SAR

– Funding : Prince Sultan University, Saudi Arabia

– Duration: 12 months

 

Project Title:  Automated Surveillance and Detection of Human Threats based on Deep Learning Model

– Status: Submitted

– PI: Dr. Tanzila Saba

– Budget: 10000SAR

– Funding : Prince Sultan University, Saudi Arabia

– Duration: 12 months

 

Project Title:  Outlier Detection based Feature Selection using Projection Pursuit- SEED Research Project

– Status: Submitted

– PI: Dr. Souad Larabi

– Budget: 30000SAR

– Funding : Prince Sultan University, Saudi Arabia

– Duration: 12 months

 

 

1.2      Completed Research Projects

 

Project Title:  “Brain Tumor Detection and Classification using 3D CNN and Feature Selection Architecture, SEED-CCIS-2020(30)”

– Status: Approved

– PI: Dr. AR Khan

– Budget: SAR 30,000

– Funding: Prince Sultan University, Saudi Arabia

– Duration: 12 months

 

4 COVID Projects

 

Project Title:  “Total Lockdown or Herd Immunity: Use of Machine Learning based Applications to Assess the Impact of Two Different Policies During COVID-19 Pandemic- Case Studies of Benchmark CountriesCOVID19-CCIS-2020{52}]”

– Status: Completed

– PI: Dr.Tanzila Saba

– Budget: 7000 SAR

– Funding : Prince Sultan University, Saudi Arabia

– Duration: 12 months

 

Project Title:  “Viral Reverse Engineering using Artificial Intelligence and Big Data COVID-19 infection using Long Short-term Memory (LSTM)COVID19-CCIS-2020{60}]”

– Status: Completed

– PI: Dr.Tanzila Saba

– Budget: Nil

– Funding : Prince Sultan University, Saudi Arabia

– Duration: 12 months

 

Project Title:  “Diagnosis of COVID-19 through Imaging Modalities using Deep Learning

COVID19-CCIS-2020{54}]”

— Status: Completed

– PI:Dr.AR Khan

– Budget: SAR

– Funding : Prince Sultan University, Saudi Arabia

– Duration: 12 months

 

Project Title:  “CoVID 19: Early estimation of pandemic parameters and predictionsCOVID19-CCIS-2020{56}]”

– Status: Completed

– PI: Dr.SouadLarabi

– Budget: Nil

– Funding : Prince Sultan University, Saudi Arabia

– Duration: 12 months

Anim pariatur cliche reprehenderit, enim eiusmod high life accusamus terry richardson ad squid. 3 wolf moon officia aute, non cupidatat skateboard dolor brunch. Food truck quinoa nesciunt laborum eiusmod. Brunch 3 wolf moon tempor, sunt aliqua put a bird on it squid single-origin coffee nulla assumenda shoreditch et. Nihil anim keffiyeh helvetica, craft beer labore wes anderson cred nesciunt sapiente ea proident. Ad vegan excepteur butcher vice lomo. Leggings occaecat craft beer farm-to-table, raw denim aesthetic synth nesciunt you probably haven’t heard of them accusamus labore sustainable VHS.
Anim pariatur cliche reprehenderit, enim eiusmod high life accusamus terry richardson ad squid. 3 wolf moon officia aute, non cupidatat skateboard dolor brunch. Food truck quinoa nesciunt laborum eiusmod. Brunch 3 wolf moon tempor, sunt aliqua put a bird on it squid single-origin coffee nulla assumenda shoreditch et. Nihil anim keffiyeh helvetica, craft beer labore wes anderson cred nesciunt sapiente ea proident. Ad vegan excepteur butcher vice lomo. Leggings occaecat craft beer farm-to-table, raw denim aesthetic synth nesciunt you probably haven’t heard of them accusamus labore sustainable VHS.

Statistics

Logo

Artificial Intelligence& Data Analytics (AIDA) Lab is the first multidisciplinary and interdisciplinary research lab at Prince Sultan University, Riyadh, Saudi Arabia.

Contact Info

  • Email: aidalab@psu.edu.sa
  • Contact: +966-11-494-8437

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