MS ID: F2018279005 | Email Address: irfan.kareem273@gmail.com
MS Thesis title: "Exploiting the Features of Deep Residual Network with SVM Classifier for Human Posture Recognition."
Fully funded admission to Ph.D. Program at University of Calabria, Italy
Scholarship of 15,343 Euro per year during his Ph.D.
Course Studied (with Dr. Syed Farooq Ali): Advanced Computer Vision
[J1] Irfan Kareem, Syed Farooq Ali, Muhammad Bilal, and Muhammad Shehzad Hanif. "Exploiting the features of deep residual network with SVM classifier for human posture recognition." PloS one 19, no. 12 (2024): e0314959. [Impact Factor (IF) = 2.9, W Platinum, URL:] Publication Date: Dec 05, 2024.
[C1] Kareem, Irfan, Syed Farooq Ali, and Ali Sheharyar."Using Skeleton based Optimized Residual Neural Network Architecture of Deep Learning for Human Fall Detection." In 2020 IEEE 23rd International Multitopic Conference (INMIC), pp. 1-5. IEEE, 2020. [URL: https://ieeexplore.ieee.org/abstract/document/9318061/]
[C2] Yaqoob, M. Kashif, Syed Farooq Ali, Irfan Kareem, and Muhammad Moazam Fraz. "Feature-based optimized deep residual network architecture for diabetic retinopathy detection." In 2020 IEEE 23rd International Multitopic Conference (INMIC), pp. 1-6. IEEE, 2020. [URL: https://ieeexplore.ieee.org/abstract/document/9318096]
[C3] Abbas, Tahir, Syed Farooq Ali, Aadil Zia Khan and Irfan Kareem. "optNet-50: An Optimized Residual Neural Network Architecture of Deep Learning for Driver's Distraction." In 2020 IEEE 23rd International Multitopic Conference (INMIC), pp. 1-5. IEEE, 2020. [URL: https://ieeexplore.ieee.org/abstract/document/9318087]
MS ID: F2019279005 | Email Address: hamzamustafa73@gmail.com
MS Thesis title: "Diabetic Retinopathy Severity Classification using Deep Learning"
Admission to PhD Program at the University of Cassino and Southern Lazio, Italy
Scholarship: €1000 per month, and full tuition fee waiver
Course Studied (with Dr. Syed Farooq Ali): Advanced Computer Vision,
[J1] Mustafa, Hamza, Syed Farooq Ali, Muhammad Bilal, and Muhammad Shehzad Hanif. "Multi-stream deep neural network for diabetic retinopathy severity classification under a boosting framework." IEEE Access (2022). [Impact Factor (IF) = 3.367, W Silver, URL: https://ieeexplore.ieee.org/abstract/document/9930337] Publication Date: Oct 26, 2022.
King Abdulaziz University, Jeddah (Dr. Muhammad Bilal, Associate Professor, Department of Electrical and Computer Engineering, meftekar@kau.edu.sa)
ID: 081220062 | Email Address: muhammad.muaz062@gmail.com
BS Thesis/FYP Title: Human Fall Detection
Admission to Masters Program at the University of Saarland, Germany
Scholarship: Full tuition fee waiver
Course Studied (with Dr. Syed Farooq Ali): Operating System, Computer Vision, Artificial Intelligence
[C1] Syed Farooq Ali, M. Muaz, A. Fatima, F. Idress and N. Nazar, "Human Fall Detection", 16th International Multi Topic Conf. (INMIC) IEEE, Lahore, 2013, pp.101-105. [URL: http://ieeexplore.ieee.org/document/6731332/]
National ICT R&D Funded for Final Year Project (FYP) 2012-2013.
Won 2nd Position at SofExpo December 2013 in Best Final Year Project Category.
ID: 12003065281
BS Thesis/FYP Title: Feature based approach for Intelligent Frame Extraction of Events for Cricket Highlight Generation using Support Vector Machine.
Admission to Masters Program at the Oulu University, Finland
Scholarship: Got full tuition fee waiver
Course Studied (with Dr. Syed Farooq Ali): Object Oriented Programming, Computer Vision
ID: f2019266033, Email Address: f2019266033@umt.edu.pk
BS Thesis/FYP Title: Driver Distraction Detection
Admission to Masters Program at the University of Westminster, UK
Course Studied (with Dr. Syed Farooq Ali): Object Oriented Programming, Computer Vision
Journal Publication
[J1] Driver Distraction Detection: Multi-Model Fusion Using Deep Features along With Stacking Ensemble Classification" [In Progress]
ID: 12003065117 | Email Address: fariaferooz511@gmail.com, 12003065117@umt.edu.pk
BS Thesis/FYP Title: Driver Distraction Detection
International Admission
Admission to Ph.D. Program at the Bologna University, Italy
Course Studied (with Dr. Syed Farooq Ali): Computer Vision
TA (with Dr. Syed Farooq Ali): Computer Vision, Object-Oriented Programming
[J1] Syed Farooq Ali, Khalid Ijaz, Faria Feroz, Nadeem Arif, Junaid Jabbar Faizi, Aadil Zia Khan, Hassan Ali, and Raees Hafeez, "Using spatial covariance of geometric and shape based features for recognition of basic and compound emotions", International Journal of Innovations in Science & Technology (2024).
ID: 14007065189 | Email Address: bilal.mehdi.umt@gmail.com, 14007065189 @umt.edu.pk
BS Thesis/FYP Title: Driver Distraction Detection
Admission to Masters Program at the Fulda University, Germany
Guest Speaker Lecture for UMT Students:
https://www.youtube.com/watch?v=h8-yVTjwx-w&list=PLJ8CpiwqEcuLxkqzDljJkWxIlGCiotREf&index=22
Course Studied (with Dr. Syed Farooq Ali): Object Oriented Programming, Computer Vision
ID: 081220081 | Email Address: 081220081@umt.edu.pk
BS Thesis/FYP Title: Driver Distraction Detection
Admission to Masters Program at the University of Kentucky, USA
Course Studied (with Dr. Syed Farooq Ali): Object Oriented Programming, Computer Vision
Publication
[C1] Syed Farooq Ali, Tahir, H. and Khan, Z., 2018. Virtual Classroom an Easy and Low Cost Solution to E-Learning System. VAWKUM Transactions on Computer Sciences, 15(1), pp.8-21. [Available: : DOI: 10.21015/vtcs.v15i1.485]
ID: f2019266003
BS Thesis/FYP Title: Driver Distraction Detection
Admission to Masters Program at the University of Bedfordshire, UK
Vice Chancellor's scholarship for partial tuition fee waiver
Course Studied (with Dr. Syed Farooq Ali): Object Oriented Programming, Computer Vision
TA (with Dr. Syed Farooq Ali): Computer Vision, Object-Oriented Programming
Journal Publication
[J1] Driver Distraction Detection: Multi-Model Fusion Using Deep Features along With Stacking Ensemble Classification" [In Progress]
ID: S2019266048 | Email Address: mahzaibkhalid235@gmail.com
BS Thesis/FYP Title: Election prediction based on Twitter data using Deep Learning Algorithms
Admission to Masters Computer Science Program at the East China University of Science and Technology, Shanghai (ECUST)
Scholarship: Fully funded by the Government of China (CSC Scholarship). Includes tuition fee, accommodation, medical insurance, and 3000 Chinese Yuan stipend per month
Course Studied (with Dr. Syed Farooq Ali): Object Oriented Programming, Computer Vision
TA (with Dr. Syed Farooq Ali): Computer Vision, Object-Oriented Programming
Publication
[C1] Syed Farooq Ali, Tahir, H. and Khan, Z., 2018. Virtual Classroom an Easy and Low Cost Solution to E-Learning System. VAWKUM Transactions on Computer Sciences, 15(1), pp.8-21. [Available: : DOI: 10.21015/vtcs.v15i1.485]