Thesis & Projects

MS Thesis (Selected)

1-Thesis Title: Exploiting the Features of Deep Residual Network with SVM Classifier for Human Posture Recognition

Name: Irfan Kareem | ID: F2018279005 | Email Address: irfan.kareem273@gmail.com

Supervisor: Syed Farooq Ali 

Courses Studied (with Dr. Syed Farooq Ali): Advanced Computer Vision

Admission Abroad

Research Collaboration

Journal Publication

[J1] Irfan Kareem, Syed Farooq Ali, Muhammad Bilal, Muhammad Shehzad Hanif, Exploiting the Features of Deep Residual Network with SVM Classifier for Human Posture Recognition, PLOS ONE [Submitted]

Conference Publications

[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/] [Pdf]

[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] [Pdf]

[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] [Pdf] 



2-Thesis Title: Diabetic Retinopathy Severity Classification using Deep Learning

Name: Hamza Mustafa | ID: F2019279005 | Email Address: hamzamustafa73@gmail.com 

Supervisor: Dr. Syed Farooq Ali 

Courses Studied (with Dr. Syed Farooq Ali): Advanced Computer Vision

Achievements

Research Collaboration: 

Journal Publication

[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. [Pdf]



3-Thesis Title: Human Posture Recognition

Name: Salma Aftab | ID: S2018114003 | Email: salma.aftab@gmail.com

Supervisor: Dr. Syed Farooq Ali | Co-Advisor: Dr. Umar Suleman

Courses Studied (with Dr. Syed Farooq Ali): Advanced Computer Vision

Research Collaboration

Journal Publications

[J1] Salma Aftab, Syed Farooq Ali, Arif Mehmood, and Dr. Umar Suleman, "A Boosting Framework for Human Posture Recognition using Spatio-Temporal Features along with Radon Transform," Multimedia Tools and Applications, (2022). [Impact Factor (IF)= 3.6, W Bronze] Publication Date: August 05, 2022.



4-Thesis Title: Facial Micro-Expression Recognition

Name: Gulnaz Parveen | ID: f2019279026| Email Address: gulnaz468@hotmail.com 

Supervisor: Dr. Syed Farooq Ali | Co-Advisor: Dr. Jameel Ahmad

Courses Studied (with Dr. Syed Farooq Ali): Advanced Computer Vision, Advanced Analysis of Algorithms

Research Collaboration

Publications

[J1] Gulnaz Parveen, Syed Farooq Ali, Jameel Ahmad, Sana Shahab, Muhammad Adnan, Mohd Anjum, and Ikramullah Khosa, "Multi-stream Deep Convolution Neural Network with Ensemble Learning for Facial Micro-expression Recognition." IEEE Access (2023).  [Impact Factor (IF) = 3.367,  W Silver, URL: https://ieeexplore.ieee.org/abstract/document/10286498] Publication Date: Oct 16, 2023.



5-Thesis Title: Distraction Detection of Driver 

Name: Tahir Abbas | ID: f2018279030 | Email Address: tahirabbasali007@gmail.com

Supervisor: Dr. Syed Farooq Ali | Co-Advisor: Dr. Aadil Zia Khan

Courses Studied (with Dr. Syed Farooq Ali): Advanced Computer Vision

Journal Publications

[J1] Abbas, Tahir, Syed Farooq Ali, Mazin Abed Mohammed, Aadil Zia Khan, Mazhar Javed Awan, Arnab Majumdar, and Orawit Thinnukool. "Deep Learning Approach Based on Residual Neural Network and SVM Classifier for Driver’s Distraction Detection." Applied Sciences 12, no. 13 (2022): 6626.  [Impact Factor (IF) = 2.838, W Bronze URL: https://www.mdpi.com/2076-3417/12/13/6626 ] Publication Date: June 30, 2022.

Conference

[C1]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]



6-Thesis Title: Diabetic Retinopathy Detection using Deep Learning

Name: Muhammad Kashif Yaqoob | ID: f2018279019 | Email Address: kashifyy@gmail.com

Supervisor: Dr. Syed Farooq Ali 

Courses Studied (with Dr. Syed Farooq Ali): Advanced Computer Vision

Research Collaboration

Journal Publications 

[J1] Yaqoob, Muhammad Kashif, Syed Farooq Ali, Muhammad Bilal, Muhammad Shehzad Hanif, and Ubaid M. Al-Saggaf. "ResNet Based Deep Features and Random Forest Classifier for Diabetic Retinopathy Detection." Sensors 21, no. 11 (2021): 3883. [Impact Factor (IF) = 3.576, W Silver, URL: https://www.mdpi.com/1424-8220/21/11/3883/htm]

Conference

[C1] 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]



7-Thesis Title: Election Prediction using Social Media

Name: Quratulain Alvi | ID: f2016114032 | Email Address: quratulain.sofizar@gmail.com

Supervisor: Dr. Syed Farooq Ali 

Courses Studied (with Dr. Syed Farooq Ali): Advanced Computer Vision

Research Collaboration

Journals Publications

[J1] Alvi, Quratulain, Syed Farooq Ali, Sheikh Bilal Ahmed, Nadeem Ahmad Khan, Mazhar Javed, and Haitham Nobanee. "On the frontiers of Twitter data and sentiment analysis in election prediction: a review." PeerJ Computer Science 9 (2023): e1517. [Impact Factor (IF) = 2.411, W Bronze, URL:  https://peerj.com/articles/cs-1517/], Publication Date: August 21, 2023.



8-Thesis Title: Pose Invariant Face Recognition

Name:  Sheikh Bilal Ahmed| ID: f2016114021 | Email Address: bilalsheikh9691@gmail.com

Supervisor: Dr. Syed Farooq Ali 

Courses Studied (with Dr. Syed Farooq Ali): Computer Vision, Object Oriented Programming, Structured Programming

Journal Publications

[J1] Sheikh Bilal Ahmed, Syed Farooq Ali, Jameel Ahmad, Muhammad Adnan, and Muhammad Moazam Fraz. "On the frontiers of pose invariant face recognition: a review." Artificial Intelligence Review, Journal (2019), vol. 53: 1-64.  [Online].  Available: https://doi.org/10.1007/s10462-019-09742-3 [Impact Factor (IF) = 9.588, W Gold], (Publication Date: July 27, 2019, Issue Date: April 2020)

[J2] Sheikh Bilal Ahmed, Syed Farooq Ali, and Aadil Zia Khan. "On the Frontiers Of Rice Grain Analysis, Classification and Quality Grading: A Review." IEEE Access (2021). [Impact Factor (IF) = 3.367,  W Silver, URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9625985] Publication Date: Nov 23, 2021

[J3] Alvi, Quratulain, Syed Farooq Ali, Sheikh Bilal Ahmed, Nadeem Ahmad Khan, Mazhar Javed, and Haitham Nobanee. "On the frontiers of Twitter data and sentiment analysis in election prediction: a review." PeerJ Computer Science 9 (2023): e1517. [Impact Factor (IF) = 2.411, W Bronze, URL:  https://peerj.com/articles/cs-1517/], Publication Date: August 21, 2023.



9-Thesis Title: Chest Infection, Tuberculosis and COVID-19 Detection

Name: Sumaira Zafar | ID: f2018279044 | Email Address: f2018279044@umt.edu.pk, sumairazafar.sz@gmail.com

Supervisor: Dr. Syed Farooq Ali | Co-Advisor: Dr. Aadil Zia Khan

Courses Studied (with Dr. Syed Farooq Ali): Advanced Analysis of Algorithm

Publications

[J1] Bashir, Hina, Kanwal Majeed, Sumaira Zafar, Ghulam Zohra, Syed Farooq Ali, and Aadil Zia Khan. "Exploiting Deep Visual Geometry Group Architecture for Fall Detection in the Elderly People." UMT Artificial Intelligence Review 3, no. 1 (June 23, 2023). 

[J2] Sumaira Zafar, Kanwal Majeed, Arjmand Majeed, Syed Farooq Ali, and Aadil Zia Khan, “oGoogleNet : An optimized GoogleNet for Chest Infection Detection on COVID dataset” [Submitted]

[J3] Sumaira Zafar, Syed Farooq Ali, Aadil Zia Khan, “Rapid COVID-19 and chest infection diagnosis using ensemble multi-stream deep neural network” [In Progress]



10-Thesis Title: On the Frontiers of Face Recognition

Name: Isra Anwar | ID: 14024050015 | Email Address: 14024050015@umt.edu.pk

Supervisor: Dr. Syed Farooq Ali | Co-Advisor: Dr. Malik Tahir Hassan

Courses Studied (with Dr. Syed Farooq Ali): Advanced Computer Vision, Object Oriented Programming, Computer Vision

Journal Publications 

[J1]Anwar, Isra, Syed Farooq Ali, Jameel Ahmad, Sumaira Zafar, and Malik Tahir Hassan. "Feature Based Techniques for a Face Recognition using Supervised Learning Algorithms based on Fixed Monocular Video Camera." Innovative Computing Review 2, no. 2 (2022).  

Conference

[C1] I. Anwar, S. Nawaz, G. Kibria, S.F. Ali, M. T. Hassan and J. B. Kim, "Feature Based Face Recognition Using Slopes," in Third Int. Conf. on Control, Automation and Information Sciences (ICCAIS 2014), Gwangju Institute of Science and Technology (GIST), IEEE, Gwangju, South Kr. Dec. 2014, 200-205. 



BS FYP/ Thesis (Selected)

1-BS Thesis/FYP Title: Driver Distraction Detection 

Name: Muhammad Ali | ID: f2019266033

FYP Advisor: Dr. Syed Farooq Ali

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] 


2-Project Title: Sports Highlights Generation

Name: Muhammad Ehsan Anjum | ID: 111820033

Course Studied (with Dr. Syed Farooq Ali): Object Oriented Programming, Computer Vision

Conference Publication

[C1] M. E. Anjum, Syed Farooq Ali, M. T. Hassan, and M. Adnan, "Video Summarization: Sports Highlights Generation", 16th International Multi Topic Conf. (INMIC) IEEE, Lahore, 2013, pp. 142-147. [URL: http://ieeexplore.ieee.org/document/6731340/]


3-BS Thesis/FYP Title: Virtual Classroom (Spring 2012 - Spring 2013)

Description

Virtual Classroom is an online Learning System, that provides live interaction between the students and the tutor. It provides the feel and ways of the actual classroom.

Names: Umair Mir (081220013), Shahid Islam (081220117), Waqas Khalid (081120106) & Zafar Khan (081220081)

FYP Advisor:  Dr. Syed Farooq Ali | Co-Advisor: Dr. Saira Usama

Course Studied (with Dr. Syed Farooq Ali): Object Oriented Programming, Computer Vision, Operating System

Conference 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] [Pdf] 

Awards & Achievements


4-BS Thesis/FYP Title:Safety Driving: Distraction Detection

Description

Driver distraction is an important safety problem for drivers as most of accidents happen due to this. This software helps the driver concentrate on the road  and if any distraction happens it should alert the driver

Names: Khawaja Ubaid Ur Rehman (111820155), Muhammad Hassan Raza (111820146), Muhammad Maaz Aslam (111820145), Ayesha Farooq (111820148)

Course Studied (with Dr. Syed Farooq Ali): Object Oriented Programming, Computer Vision

Awards & Achievements


5-BS Thesis/FYP Title: Driver Distraction Detection

Name: Afaq Tahir | ID: f2019266003

FYP Advisor: Dr. Syed Farooq Ali

Course Studied (with Dr. Syed Farooq Ali): Object Oriented Programming, Computer Vision

Journal

[J1] Driver Distraction Detection: Multi-Model Fusion Using Deep Features along With Stacking Ensemble Classification" [In Progress] 


6-BS Thesis/FYP Title: Rice Grain Analyzer (Fall 2014 - Spring 2015)

Description

Testing the quality of rice is software that helps the farmers to test whether it is good or not. The quality is fed in the software and it checks the rice one by one.

Student: Halima Jamil (12002065010), Razia Jamil (12002065009), Iqra Torij (12002065023), Saira Naz (12019020025)

Course Studied (with Dr. Syed Farooq Ali): Object Oriented Programming, Computer Vision, Operating System

FYP Advisor:  Dr. Syed Farooq Ali  | Co-Advisor: Dr Adnan Abid

Conference Publication

[C1] Syed Farooq Ali, H. Jamil, R. Jamil, I. Torij, S. Naz, "Low Cost Solution for Rice Quality Analysis using Morphological Parameters and its Comparison with Standard Measurements", 20th International Multi Topic Conf. (INMIC) IEEE, Lahore, 2017. [URL: http://ieeexplore.ieee.org/document/8289475/] 


7-BS Thesis/FYP Title: Rice Grain Analyzer (Fall 2014 - Spring 2015) 

Description

Testing the quality of rice is software that helps the farmers to test the quality of rice whether it is good or not. The quality is fed into the software and it checks the rice one by one.

Student: Maleeha Kanwal (13005065331), Samreen Mazari (13005065206) and Asma Arfaq (13005065306)

Course Studied (with Dr. Syed Farooq Ali): Object Oriented Programming, Computer Vision, Operating System

FYP Advisor:  Dr. Syed Farooq Ali | Co-Advisor: Dr Malik Tahir

Awards And Achievements

 

8-BS Thesis/FYP Title: Attendance System Using Face Recognition

Description

The idea is to mark the attendance using a camera based on face detection. The person entering an office, software house, or any organization would look at the camera for 2 to 5 seconds and his attendance would be marked. Students would be able to develop a product and that product can be used in different offices and organizations. The product can be developed in Matlab, C/C++ using Open CV, Java, etc., Student is welcome to choose any of the above-mentioned languages or their preferred languages.

Students: Touqeer Attique (091420176) & Mohsin Ijaz (091420035)

FYP Advisor: Dr. Syed Farooq Ali | Co-Advisor: Dr. Malik Tahir

Awards & Achievements

 

9-BS Thesis/FYP Title: On the Frontiers of Face Recognition (Fall 2013 - Spring 2014)

Description

The Face Recognition Classroom Attendance system also looks for students' faces in the classroom and automatically marks students' attendance in class.

Students: Isra Anwar (101620142), Ghulam Kibria (101620014) & Shah Nawaz (101620011)

FYP Advisor: Dr. Syed Farooq Ali | Co-Advisor: Dr. Malik Tahir Hassan

Conference Publication

[C1] I. Anwar, S. Nawaz, G. Kibria, S.F. Ali, M. T. Hassan and J. B. Kim, "Feature-Based Face Recognition Using Slopes," in Third Int. Conf. on Control, Automation and Information Sciences (ICCAIS 2014), Gwangju Institute of Science and Technology (GIST), IEEE, Gwangju, South Kr. Dec. 2014, 200-205. 

 

10-BS Thesis/FYP Title: Human Fall Detection

Description

Video summarization, (Fall detection) is a system that monitors the environment of a home using cameras and looks for the people present in the images some certain person falls it can do several things like alarming some authorities or informing some particular person by email, text message, etc. its major application is monitoring the elderly in a household environment, where some fall of the person can be a serious situation.

Students: Muhammad Muaz (081220062, Email: muhammad.muaz062@gmail.com, Aliza Fatima (12020020118) & Fatima Idrees (101620074)

FYP Advisor: Dr. Syed Farooq Ali | Co-Advisor: Noman Nazar

Conference Publication

[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/] 

Awards & Achievements

 

11-BS Thesis/FYP Title: Video Summarization (Fall 2012 - Fall 2013)

Description

An intelligent surveillance camera is also a video monitoring system that continuously monitors the video and notifies when some particular behavior is seen in some individual.

Students: Waqas Hamid (091320008) & Adeel Tariq (091320049)

FYP Advisor: Dr. Syed Farooq Ali | Co-Advisor: Noman Nazar

Awards & Achievements

 

12-BS Thesis/FYP Title: Thumb Recognition System (Fall 2012 - Summer 2013)

Description

A hand and fingerprint recognition system that can identify different people according to their hand and finger print and can also perform as a mini fun palmist.

Student: Hafsa Mateen (091420359)

FYP Advisor: Dr. Syed Farooq Ali | Co-Advisor: Noman Nazar

Awards & Achievements


13-BS Thesis/FYP Title: Abnormalities Detection in Long Intestine (Fall 2022 - Summer 2023)

Description

A research project in which detects any abnormalities in the long intestine.

Student: Muhammad Junaid (F2018065174)

FYP Advisor: Dr. Syed Farooq Ali | Co-Advisor: Ms. Afifa Wajid

Awards & Achievements


13-BS Thesis/FYP Title: Android project: Kids Learning Games (Fall 2014 - Spring 2015)

Description

Educational games are a great tool for building foundation math and language skills that today's elementary school curriculum requires. These learning games  for kids are fun, teach important skills for preschool and elementary school kids,Islamic App,Lego 

Student: (111820182) Muhammad Tayyab Mir, (111820179) Syed Awais Arif, (111820194) Rana Abdul Rafey, (111820162) Hafiz Mudasser Nazir

FYP Advisor: Dr. Syed Farooq Ali

Collaboration: Novapex Technologies, Lahore, Pakistan (Mr. Mansoor Khan, CEO of Novapex Technologies)

Awards & Achievements

 

14-BS Thesis/FYP Title: Android project: kids learning (Fall 2014 - Spring 2015)

Description

The basic aim of the project was to develop a gaming app that would entertain school-going kids and at the same time, it would also contribute towards their learning. The idea was developed by me and Mr. Mansoor (CEO of Novapex Technologies) to help school-going kids in education and learning.

Student: (12002065003@umt.edu.pk) Waleed Hafiz, (110165218@umt.edu.pk) Majid Ali Haroon

FYP Advisor: Dr. Syed Farooq Ali 

Collaboration: Novapex  Technologies, Lahore, Pakistan (Mr. Mansoor Khan, CEO of Novapex Technologies)

Awards & Achievements

https://play.google.com/store/apps/details?id=com.intellosol.computerparts 

https://play.google.com/store/apps/details?id=com.intellosol.knowpakistan 

https://play.google.com/store/apps/details?id=com.intellosol.knowislam 

 

15-BS Thesis/FYP Title: Android project: kids learning (Spring 2016-Fall 2016)                                                                                     

Description

The basic aim of the project was to develop a gaming app that would entertain school-going kids and at the same time, it would also contribute towards their learning. The idea was developed by myself and Mr. Mansoor Khan (CEO of Novapex Technologies) to help the school-going kids in education and learning.

Student: Tariq Ali (Id: 12002105021, Email: tariqali550@gmail.com), Ahmed Raza (Id: 12002105004, Email: 12002105004@umt.edu.pk)

FYP Advisor: Dr. Syed Farooq Ali 

Collaboration: Novapex  Technologies, Lahore, Pakistan (Mr. Mansoor Khan, CEO of Novapex Technologies)


16-BS Thesis/FYP Title: IRP Web Application (Academia.com)

Description

IRP Institute of Research Promotion is a website made for the organization that helps that organization in promoting it and it was based on PHP, HTML, CSS, bootstrap, and javascript. 

The next project done by the same group is academia. It is an educational-based website designed for students as well as teachers to gather information, download books, do preparation, and collect any kind of information from it. A good yet helpful project for the people

Student: Syed Muhamad Waji Haider (110165029), Syed Zeeshan Hussain Shah (110165205), Muhammad Usama Sindhu (110165048), Zeeshan Rasul Lodhi (110165173), Loveeza Asif (110165077)

Advisor: Dr. Syed Farooq Ali

Collaboration: Novapex Technologies, Lahore, Pakistan (Mr. Mansoor Khan, CEO of Novapex Technologies)


17-BS Thesis/FYP Title: Android + Web App: Labor Force (Fall 2014 - Spring 2015)

Description

It is generally used to describe those working for a single company or industry, but can also apply to a geographic region like a city, state, or country. The workforce of a country includes both the employed and the unemployed

Student: Junaid Ahmed (111820121) , Umair Yaqoob (111820013), Ameer Hamza (111820020), Hafiz Bilal Ahmed (111820154) 

FYP Advisor: Dr. Syed Farooq Ali

Collaboration: Novapex Technologies, Lahore, Pakistan (Mr. Mansoor Khan, CEO of Novapex Technologies)


18-BS Thesis/FYP Title: Android: Pre-Order Restaurant Management System & App (Fall 2014 - Spring 2015)

Description

A Pre Order App is an App in which the users order different types of food within the App when they are hungry and book their order through the App. The order is then delivered to the user.

Student: Maria Sahar (I111820223) 

Advisor: Dr. Syed Farooq Ali

Collaboration: Novapex Technologies, Lahore, Pakistan (Mr. Mansoor Khan, CEO of Novapex Technologies)


19-BS Thesis/FYP Title: Property dealing website (Fall 2014 - Spring 2015)

Description

A very helpful website for people to buy or sell their properties online. People can come to this website and search for different properties, houses, etc according to their pocket or taste.

Student: Munam Nauman (110165024), Munib Ul Hassan (110165013), Farhan Khalid (110165019) 

FYP Advisor: Dr. Syed Farooq Ali

Collaboration: Novapex Technologies, Lahore, Pakistan (Mr. Mansoor Khan, CEO of Novapex Technologies)


20-BS Thesis/FYP Title: Online Restaurant Management (WebAppl + Mobile App ) (Fall 2014 - Spring 2015)

Description

Qualified restaurant managers are always in demand. This website helps the restaurant in achieving high goals. People from different countries come on this site to view the ratings of specific restaurants and then decide which is good based on rating

Student: Zaighum Arslan (111820176) , Muhammad Ali Shoukat (111820186), Muhammad Fahad (111820192), Sami Ullah  (111820161)

FYP Advisor: Dr. Syed Farooq Ali

Collaboration: Novapex Technologies, Lahore, Pakistan (Mr. Mansoor Khan, CEO of Novapex Technologies)


21-BS Thesis/FYP Title: Caricature and Photo to Cartoon (Fall 2012 - Summer 2013)

Description

Caricature and photo-to-cartoon conversion is a system that takes in a photo and converts it into a cartoon, it allows certain parts of the photo to be enlarged or modified in such was that the original photo becomes more similar to the desired cartoon image. For example, if a cartoon of some normal person is to be made to look like a celebrity certain features like a mustache, big head, big nose, etc can be applied which turns the original photo more similar to the cartoonish version of that celebrity.

Students: Irum Pervaiz (091420196) & Dima Naeem (091420249)

FYP Advisor: Dr. Syed Farooq Ali | 

Co-Advisor: Hafsa Zafar

 

22-BS Thesis/FYP Title: Blood Donor System (Fall 2013 - Spring 2015)

Description

The blood donor system is a system to provides ease of access and an efficient method of checking for the availability of blood donations. Moreover, it smooths out the process of donations for people is less time-consuming as people willing to donate and take help from the system can easily interact and in less time.

Student: Rizwan Munawar (081120111)

FYP Advisor: Dr. Syed Farooq Ali


23-BS Thesis/FYP Title: Puzzle game (Fall 2014 - Spring 2015)

Description

A puzzle is a game, problem, or toy that tests a person's ingenuity or knowledge. In a puzzle, one is required to put pieces together in a logical way, to arrive at the correct solution of the puzzle. There are different types of puzzles for different ages, such as crossword puzzles, word-search puzzles, number puzzles, or logic puzzles.

Student: Sheikh Bilal Ahmed (111820217), Hasan Dastgir (111820166), Ayzaz-ul-Hassan (111820184), Munam Nauman (110165024), Munib Ul Hassan  (110165013), Farhan Khalid (110165019)

FYP Advisor: Dr. Syed Farooq Ali

Collaboration: Novapex  Technologies, Lahore, Pakistan (Mr. Mansoor Khan, CEO of Novapex Technologies)


24-BS Thesis/FYP Title: Online Property Renting WebApplication and App (Fall 2014 - Spring 2015)

Description

It is an online Web application and Android app used for renting a property. 

Student: Faria Feroz (12003065117), Sara Iqbal Raja (12003065350)

FYP Advisor: Dr. Syed Farooq Ali

Collaboration: Novapex  Technologies, Lahore, Pakistan (Mr. Mansoor Khan, CEO of Novapex Technologies)


25-BS Thesis/FYP Title: Sketch to Face Matching (Fall 2014 - Spring 2015)

Description

Sketches used in forensic investigations are either drawn by forensic artists (forensic sketches) or created with computer software (composite sketches) following the verbal description provided by an eyewitness or the victim. This software helps the organization capture the victim by matching the face

Student: Danish Tufail (110165093), Bilal Siddiqui (110165181), Abdul Rehman (110165119)

FYP Advisor: Dr. Syed Farooq Ali

 

26-Project Title: Safety Driving (Fall 2013 - present)

Description

The main focus of this project is to develop an intelligent camera to provide safety to the drivers of cars. The camera would be mounted in the car and it is monitoring the driver. If the driver is drowsy, angry, inattentive, etc., then the intelligent camera would alarm the driver/car owner. The product (intelligent camera) can be mounted in any car and can provide an economical solution.

Students: 

FYP Advisor: Dr. Syed Farooq Ali | Co-Advisor: Mubasher Baig


27-BS Thesis/FYP Title: Feature-based Approach for Intelligent Frame Extraction of Events for Cricket Highlight Generation using Support Vector Machine

Description

This project compacts with a very significant Field in Computer Vision. In this, we display how to find and detect important parts of a cricket video, After all the detect features would become starting events that would be automatically from a full-length video. Similar techniques can be implied to capture the starting event of cricket match and other Sports too. In This project, our goal is to produce more dependable results using Neural Networking. We rank the intensity of attention to discriminate boundaries of highlights. Such a framework alleviates semantic uncertainty around sports highlights and leads to an efficient and effective highlight detection The Mining process is carried out at multiple levels, removing some needless part of the video at each level.

Student: Muhammad Bilal (12003065281), Muhammad Husnain (12003065291), Muhammad Umer (12003065288), Muhammad Waqas (12003065305)

FYP Advisor: Dr. Syed Farooq Ali

Awards And Achievements 


28-BS Thesis/FYP Title: Vehicle speed measurement using video (Fall 2014 - Spring 2015)

Description

It is a project in which we use a video camera and measure the speed of the vehicle by capturing its video. This software is very helpful for the police in capturing the culprit who is going against the speed limit.

Student: Muhammad Ijaz Khan (110165049), Abbas Raza  (110165172), Muhammad Adeel Asghar (110165042), Ahmad Kamal (110165069)

FYP Advisor: Dr. Syed Farooq Ali

Conference Publication

[C1] Syed Farooq Ali, A. Abid, M. A. Butt, A. Raza, A. Khan, A. Asghar and A. Kamal. “Development and implementation of Image Processing based Algorithms for Vehicle Velocity Estimation and their comparison,” in First International Conference on Innovative Computing (ICIC), Lahore, 2016. [URL: http://admin.umt.edu.pk/Media/Site/icic/FileManager/Proceedings/Papers/27%20ICIC_2016_paper_27.pdf]