Mr. Sajid Ali
Department of Computer Science
Mr. Sajid Ali
- Objective
- Research Interests
- Educational Qualification
- Professional Experience
- Academic Projects
- Project Supervision
- Research Papers
To secure a responsible career opportunity to fully utilize my training and skills, while making a significant contribution to the success of research and the scientific community.
- Artificial Intelligence
- Machine learning
- Digital Image Processing
- Data Science
- Software Engineering
- Human-Computer Interactions
- Deep Learning
- Computer Science
- Transfer Learning
PhD – Comp Eng.
AI and Robotics, University of Yazd, Iran Date: Dec 2022 | (PhD Candidate)
M.S – Comp Eng
AI and Robotics, University of Yazd, Iran Post. Grad Date: Dec 2022 | CGPA: 3.45
Bachelor of Science – Comp Science,
The University of Agri, Pesh Grad. Date: June 2016 | CGPA: 3.85
D.A.E Electronics
Pak Poly Technic Institute, PBTE Lahore DAE. Date: Sep 2011 | 2453/3350
Matric
FG Boys High School no.1 Skardu, KIU Gilgit Matric. Date: July 2016 | 442/850
- NUST University Islamabad- Skardu Campus (Machine Learning Trainer) May 2023- Till
- University of Baltistan Skardu (CS- Faculty Lecturer ) Fall-Nov 2022– Till
- University of Baltistan Skardu (CS-Visiting Faculty) Spring-Mar 2021– Oct 2021
- MCB Bank Limited, PAKISTAN (General Banking Officer) Mar 2017– Sep 2019
M.S Thesis:
Title: “Detection and Visualization of Tuberculosis Using Deep Learning Models”
This research project used different Deep Learning methods to detect and visualization to diagnose Tuberculosis. The main aim of this project was the application of artificial intelligence in the Bio-Medical field.
Semester projects:
- Machine Learning Technique for Pneumonia Detection
- Image Classification in Bee’s Genetic Algorithm
- Online Word Analysis application in NLP
Bachelors’ Thesis:
Title: “One Click Rescue Mob Application- Funded by National ICT R&D Govt of Pakistan”. This is the best Android mob application for rescue purposes. We developed an application that can easily call or send rescue alerts in case of any emergency to relevant rescue organization.
Semester projects:
- Desktop application for Furniture Shop
- DNS server configuration with Windows Server 2008 r2
- Android mob application for class timetable
|
S.no |
Project Name |
Degree |
University |
|
1 |
Online/Offline Signature Verification Using Machine Learning Models |
BSCS |
The University of Baltistan, Skardu |
|
2 |
Hand Sign gesture detection Using ML techniques |
BSCS |
The University of Baltistan, Skardu |
|
3 |
Iris Detection using Deep Learning Models |
BSCS |
The University of Baltistan, Skardu |
|
4 |
Heart Disease Detection using ML models |
BSCS |
The University of Baltistan, Skardu |
|
5 |
Cursor control system by fingers using ML models |
BSCS |
The University of Baltistan, Skardu |
|
6 |
Insurance Management System Desktop Application |
BSCS |
The University of Baltistan, Skardu |
|
7 |
Kid’s Mode Android Application |
BSCS |
The University of Baltistan, Skardu |
|
8 |
Smart Organization Desktop Application |
BSCS |
The University of Baltistan, Skardu |
|
9 |
SpyHawk Desktop Application |
BSCS |
The University of Baltistan, Skardu |
|
10 |
Smart Security System |
BSCS |
The University of Baltistan, Skardu |
|
Sr. No |
Topics |
Journals |
|
1 |
Detection of Pneumonia Disease through Machine Learning using Chest X-ray (Submitted) |
1: Iranian Journal of Information processing and Management-ID: 4817 2: International Journal of Innovative Science and Research Technology (IJISRT) |
|
2 |
Visualization of Tuberculosis using Deep learning Models |
|
