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rashidrao-pk/README.md

Muhammad Rashid


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 in my professional field. 👨🏻‍ 👨🏻‍💻

1. Educational Achievements 🎓:

Sr. No. Degree 📘 Institute From To
I. Ph. D.(CS) University of Turin, Italy. 2022 2025
II. MS(CS) Comsats University Islamabad, Wah Campus, Pakistan. 2017 2019
III. BS(CS) Allama Iqbal Open University Islamabad, Pakistan. 2010 2016

2. Educational Projects / Research Projects 💻:

a. PhD(CS) 2022-Present :

Industrial PhD funded by PNRR-CINECA Italy

Academic Supervisor

Industrial Supervisors:


Keywords: eXplainable AI, XAI, Computer Vision, Trustworthy AI, Trustworthy ML

Sr. No. Title Journal / Conference Venue Dates Location Publication Date Paper Codes
I. Can I trust my anomaly detection system? A case study based on XAI. XAI-World 17-19 July 2024 Valletta, Malta. XXX To Appear XYZ
II. Using Stratified Sampling to Improve LIME Image Explanations 38th Annual AAAI Conference on Artificial Intelligence - AAAI-24 22-27 feb 2024 Vancouver, Canada. 24-03-2024 Link Stratified LIME
,
Examples

b. MS(CS) (2019):

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
I. Thesis Object Detection and Classification based on Feature Fusion and Deep Convolutional Networks. --- --- --- --- GitHub Repo
II. 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
III. 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

c. BS(CS) (2016):

Sr. No. Title Codes Application Link
I. OVBTP, A Secure AI based Web Application for Venue Booking and Tour Planning GITHUB OVBTP Website

3. 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 /
Conferencce		 Dated Paper Github Link
I. Can I trust my anomaly detection system? A case study based on XAI. XAI-World XX-XX-XXXX Accepted, To Present XYZ
II. Using Stratified Sampling to Improve LIME Image Explanations. AAAI-24 24-03-2024 Link Stratified LIME

Examples
III. A Novel Light U-Net Model for Left Ventricle Segmentation Using MRI. Methematics 24 July 2023 Paper Link GitHub Repo
IV. 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 .
V. An Optimized Approach for Breast Cancer Classification for Histopathological Images Based on Hybrid Feature Set. Current medical imaging 22 Apr 2020 Link GitHub Repo
VI. 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
VII. 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
VIII. 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
IX. 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

4. Certificates 📝:

a. Certificates of Skills:

Sr. No. Certificate Name Issued By Dated Grade (%) Course Length Certificate
I. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning DeepLearning.AI 12-Jun-2024 100% 17 hours Yes
II. Introduction to Generative AI Google 25-Mar-2024 ----- ------- Yes
III. Unlocking Grant Success with Funding Institutional Researcher Academy 15-Mar-2024 ----- ------- Yes
IV. How to Protect your Data (ISO 27001 course) RuleX 08-Jan-2024 ----- ------- Yes
V. Reviewer in Scientific Journal IJEECS 23-Nov-2022 ----- ------- Yes
VI. AI for Everyone DeepLearning.AI - Coursera Sep-2022 94.37 4 Weeks Link
VII. PHP Programming (Web Development) Buraq Institute of Science and Technology 12th-Apr-2014 ~ 1st-Jul-2014 - 3 Months Yes

b. Certificates of Attendance:

Sr. No. Certificate Name Issued By Dated Location From-To Certificate
I. AAAI24 Association for the Advancement of Artificial Intelligence (AAAI) Feb 2024 Vancouver, Canada 22-27 Feb 2024 https://www.linkedin.com/in/rashid-rao-cuipakistan/details/certifications/1711816183817/single-media-viewer/?profileId=ACoAABD65c0BtQYsWVhZVXZ4PcZV9G1-CKFA7XE

5. Profile Links 📫:

Platform Link
Google Scholar https://scholar.google.com.pk/citations?user=F5u_Z5MAAAAJ
Scopus https://www.scopus.com/authid/detail.uri?authorId=57417085200
LinkedIn https://www.linkedin.com/in/rashid-rao-cuipakistan/
ResearchGate https://www.researchgate.net/profile/Muhammad-Rashid-65
SementicScholor https://www.semanticscholar.org/author/Muhammad-Rashid/2293444837
Web of Science https://www.webofscience.com/wos/author/record/KSM-3480-2024
ORCID https://orcid.org/0000-0002-2557-6845
UnderLine https://underline.io/speakers/254136-muhammad-rashid
Sciprofiles https://sciprofiles.com/profile/rashidmuhammad
Loop Frontiersin https://loop.frontiersin.org/people/2290013
Cousera https://www.coursera.org/learner/rashidrao-pk

Pinned Loading

  1. Bone-Cancer-Detection-GUI-in-Matlab-using-Image-Processing-Techniques Bone-Cancer-Detection-GUI-in-Matlab-using-Image-Processing-Techniques Public

    Bone Cancer Detection, a GUI-based application in Matlab using Image Processing Techniques.

    MATLAB 4 1

  2. Brain-Tumor-Detection-and-Classification-GUI-based-App-in-Matlab Brain-Tumor-Detection-and-Classification-GUI-based-App-in-Matlab Public

    Brain Tumor Detection and Classification

    MATLAB 2 1

  3. anomaly_detection_trust_case_study anomaly_detection_trust_case_study Public

    Codes needed to replicate results for 'Can I Trust my Anomaly Detection System, A Case Study'

    Jupyter Notebook

  4. lime-stratified-examples lime-stratified-examples Public

    Examples used to generate plots for paper 'Using stratified sampling to improve LIME Image Explanations' in AAAI24

    JavaScript

  5. lime_stratified lime_stratified Public

    Forked from marcotcr/lime

    Branch of LIME adding stratified Sampling

    JavaScript

  6. Neural-Network-Based-Automatic-Fruit-Classification Neural-Network-Based-Automatic-Fruit-Classification Public

    Neural Network Based Automatic Fruit Classification