Hi 👋, I am Muhammad Rashid from Pakistan, Software Engineer by profession and a Tourist 🏕️🏔️ by passion. I love to find solution to real-world problems. I love challenging tasks in my life. As far as my passion is concerned, I love adventures 🚣 in my life and my professional field. 👨🏻 👨🏻💻
Educational Achievements 🎓:
Sr. No.
Degree 📘
Institute
From
To
1.
Ph. D.(CS)
University of Turin, Italy.
2022
2025
2.
MS(CS)
Comsats University Islamabad, Wah Campus, Pakistan.
2017
2019
3.
BS(CS)
Allama Iqbal Open University Islamabad, Pakistan.
2010
2016
Educational Projects / Research Projects 💻:
1. PhD(CS) 2022-Present :
Industrial PhD funded by PNRR-CINECA Italy
Keywords: eXplainable AI, XAI, Computer Vision, Trustworthy AI, Trustworthy ML
Keywords: Object Detection, Object Localization, Computer Vision, Deep Learning, Feature Engineering, Caltech-101, Caltech-256
Sr. No.
Type
Title
Journal
Publication Date
Paper
DOI
Codes
1.
Thesis
Object Detection and Classification based on Feature Fusion and Deep Convolutional Networks.
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GitHub Repo
2.
Published Article
A sustainable deep learning framework for object recognition using multi-layers deep features fusion and selection.
Sustainability
19 June 2020
Link
LINK
GitHub Repo
3.
Published Article
Object Detection and Classification: A Joint Selection and Fusion Strategy of Deep Convolutional Neural Network and SIFT Point Features.
Multimedia Tools and Applications
08 Dec 2018
Link
LINK
GitHub Repo
Sr. No.
Title
Codes
Application Link
1.
OVBTP, A Secure AI based Web Application for Venue Booking and Tour Planning
GITHUB
OVBTP Website
All Research Articles / Publications 📊📝:
After getting motivated, i did my research in Computer Vision and Mahcine Learning Field and published following research articles:
Sr. No.
Title
Journal
Dated
Paper
Github Link
1.
Can I trust my anomaly detection system? A case study.
XAI-World
XX-XX-XXXX
To Appear
XYZ
2.
Using Stratified Sampling to Improve LIME Image Explanations.
AAAI-24
24-03-2024
Link
Stratified LIME Examples
3.
A Novel Light U-Net Model for Left Ventricle Segmentation Using MRI.
Methematics
24 July 2023
Paper Link
GitHub Repo
4.
A sustainable deep learning framework for object recognition using multi-layers deep features fusion and selection
Sustainability
19 June 2020
Google Scholar Link
GitHub Repo .
5.
An Optimized Approach for Breast Cancer Classification for Histopathological Images Based on Hybrid Feature Set.
Current medical imaging
22 Apr 2020
Link
GitHub Repo
6.
Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images.
Journal of Experimental & Theoretical Artificial Intelligence
02 Feb 2019
Link
GitHub Repo
7.
Classification of Gastrointestinal Diseases of Stomach from WCE using the improved Saliency-based method and Color Features.
Multimedia Tools and Applications
06 Jun 2019
Link
GitHub Repo
8.
An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection.
Neural Computing and Applications
08 Nov 2019
Link
GitHub Repo
9.
Object Detection and Classification: A Joint Selection and Fusion Strategy of Deep Convolutional Neural Network and SIFT Point Features.
Multimedia Tools and Applications
08 Dec 2018
Link
GitHub Repo
T E C H N I C A L - S K I L L S ⚡ :
Sr. No.
Skill
Level
a)
Matlab
Professional
b)
Python
Professional
c)
C++
Expert
d)
Edraw
Expert
h)
PHP
Expert
C E R T I F I C A T E S 📝 :
Sr. No.
Certificate Name
Issued By
Dated
Grade (%)
Course Length
Certificate
a)
Tensorflow
Google
XX-XX-XXXX
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Yes
b)
Introduction to Generative AI
Google
25-Mar-2024
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Yes
c)
Unlocking Grant Success with Funding Institutional
Researcher Academy
15-Mar-2024
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Yes
d)
How to Protect your Data (ISO 27001 course)
RuleX
08-Jan-2024
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Yes
e)
Reviewer in Scientific Journal
IJEECS
23-Nov-2022
-----
-------
Yes
f)
AI for Everyone
DeepLearning.AI - Coursera
Sep-2022
94.37
4 Weeks
Link
g)
PHP Programming
Buraq Institute of Science and Technology
12th-Apr-2014 ~ 1st-Jul-2014
-
3 Months
Yes
h)
Diploma in Office Management
Elysium Computer College Regd # 673
04-Mar-2007 ~ 13-Jun-2007
80.4
3 Months
Yes