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rashidrao-pk/README.md

Few Lines about Muhammad Rashid


Hi 👋, I am Muhammad Rashid, a young researcher working in Artificial Intelligence.

  • I am working on European industrial projects DistriMuSe and NextPerception where my role is to improve, develop and utilize the eXplainable AI (XAI) algorithms to add transparency and trust in the complex AI Models.
  • My past experiences spans building various Computer Vision & Machine Learning Solutions click here to check. 👨🏻‍💻

1. Summary of Research Projects 🤖🧠🇦🇮👾

Completed projects related to Computer Vision and Machine Learning are described in this link.

2. Summary of Educational Achievements 🎓

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

Educational Projects / Research Projects 💻

a. PhD(CS):

Details about PhD work:

  • Title, & Type: Industrial PhD funded by PNRR-CINECA Italy for European Projects
  • University & Industry: University of Turin, Rulex Innovation Labs, Italy
  • Duration: Oct 2022 - ~ Dec 2025
  • Objectives: Automatic extraction of high-level semantic features, Object Localization, Anomaly Detection and Visual explanations for Anomalies.
  • Training Activities & Courses: Check Courses Details Here and other Training Activities Here.
  • Keywords: eXplainable AI, XAI, Computer Vision, Trustworthy AI, Trustworthy ML
  • Image Datasets Used: ImageNet, ImageNet-S, MVTec, MS-COCO.

Proudly Supervised by

Contributions to European Project:

  • DistriMuSe Website: My task here is to implement Anomaly Detection(AD) in robotics use case for human safety.

Achievements:

Sr. No. Title Journal / Conference Dates Location Publication Date LINKS
1. Anonumous Submission. A+ Ranked Conference - - Under Review Codes
2. Can I trust my anomaly detection system? A case study. XAI-World ( World Conference on eXplainable Artificial Intelligence) 17-19 July 2024 Valletta, Malta 10 July 2024 Paper PDF Link -:- Codes -:- Medium Blog
3. Using Stratified Sampling to Improve LIME Image Explanations. AAAI-24 (38th Annual AAAI Conference on Artificial Intelligence) 22-27 feb 2024 Vancouver, Canada. 24-03-2024 Paper PDF Link -:- Stratified LIME
-:- Examples -:- Medium Blog

b. Master Degree

Click Here to see details about Title & Duration, Courses Taken and Dataset Used

Degree Details:

  • Title & Duration: Master of Science (Computer Vision and Graphics), 2017-2019
  • Courses Taken: Here is the summary of Courses and other Training Activities.
  • Dataset Used: Caltech-101, Caltech-256, PascalVOC-3D, Flower, Butterfly
  • Keywords: Object Detection, Object Localization, Computer Vision, Deep Learning, Feature Engineering, Feature Selection and Optimization.

Achievements:

Sr. No. Type Title Journal Publication Date Paper DOI Codes
1. Research Thesis Object Detection and Classification based on Feature Fusion and Deep Convolutional Networks. --- --- --- --- GitHub Repo
2. Published Research Article A sustainable deep learning framework for object recognition using multi-layers deep features fusion and selection. Sustainability 19 June 2020 Link PDF Link GitHub Repo, Mathworks
3. Published Research 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 PDF Link LINK GitHub Repo , Mathworks

NOTE: Few of the research activities/publication was a collaboration work with other members of the research group. See

c. Bachelor Degree

Click Here to see details

Degree Details:

  • Title: Bachelor of Science (Computer Science - Web Development) (2016)
  • Keywords: Software Engineering, Web development, Web Applications, Web Security, Information Security.

Achievements:

Sr. No. Title
Product Developed A secure Web Application using MVC architecture and CodeIgnitor Framework
Name OVBTP, A Secure AI based Web Application for Venue Booking and Tour Planning
Website http://www.ovbtp.com
CODES GITHUB
Tools Used MVC, MS-SQL, CodeIgnitor, PhP, Javascript, HTML, CSS

3. All Research Articles / Publications 📊📝:

Sr. No. Title Role Journal /
Conferencce		 Dated Paper Codes
1. Can I trust my anomaly detection system? A case study. Main Author XAI-World 10 July 2024 PDF Link Anomaly detection system
2. Using Stratified Sampling to Improve LIME Image Explanations. Main Author AAAI-24 24-03-2024 PDF Link Stratified LIME
Examples
3. A Novel Light U-Net Model for Left Ventricle Segmentation Using MRI. Contributor Mathematics 24 July 2023 PDF Link GitHub Repo
4. A sustainable deep learning framework for object recognition using multi-layers deep features fusion and selection Main Author Sustainability 19 June 2020 PDF Link GitHub Repo .
5. An Optimized Approach for Breast Cancer Classification for Histopathological Images Based on Hybrid Feature Set. Contributor Current medical imaging 22 Apr 2020 PDF Link GitHub Repo
6. Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images. Contributor Journal of Experimental & Theoretical Artificial Intelligence 02 Feb 2019 PDF Link GitHub Repo
7. Classification of Gastrointestinal Diseases of Stomach from WCE using the improved Saliency-based method and Color Features. Contributor Multimedia Tools and Applications 06 Jun 2019 PDF Link GitHub Repo :-: Mathworks
8. An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection. Contributor Neural Computing and Applications 08 Nov 2019 PDF Link GitHub Repo
9. Object Detection and Classification: A Joint Selection and Fusion Strategy of Deep Convolutional Neural Network and SIFT Point Features. Main Author Multimedia Tools and Applications 08 Dec 2018 PDF Link GitHub Repo

4. Certificates 📝:

a. Certificates of Conferences:

Sr. No. Conference Role Location From-To Presentation/Paper/Certificate Links
1. XAI-World (World Conference on eXplainable Artificial Intelligence) Oral Presenter in Main Track & Attendee Valletta,Malta 17-19 July 2024 Presentation Link, Attendance Certificate
2. AAAI-24 (Association for the Advancement of Artificial Intelligence (AAAI)) Oral Presenter in Main Track & Attendee Vancouver, Canada 22-27 Feb 2024 Presentation Link, Attendance Certificate
3. ECML-PKDD-23 (European Conference on Machine Learning-PKDD) Attendee Turin,Italy 18-22, Sep 2023 Attendance Certificate

b. Certificates of Courses:

Sr. No. Certificate Name Issued By Dated Grade (%) Course Length Certificate
1. Build Basic Generative Adversarial Networks (GANs) DeepLearning.AI XX-XX-2024 --- XX-XX-2024 LINK
2. OxML Generative AI & Representation Learning Oxford University,UK & Global Goals July 2024 --- 11-14 July 2024 LINK
3. Oxford Machine Learning Health & Bio Oxford University,UK & Global Goals July 2024 --- 6-9 July 2024 LINK
4. Introduction to TensorFlow for Artificial Intelligence,Machine Learning, and Deep Learning DeepLearning.AI 12-Jun-2024 100% 17 hours LINK
5. Introduction to Generative AI Google 25-Mar-2024 ----- ------- LINK
6. Unlocking Grant Success with Funding Institutional Researcher Academy 15-Mar-2024 ----- ------- LINK
7. How to Protect your Data RuleX 08-Jan-2024 ----- ------- LINK
8. AI for Health (Subject from School) Bertinoro International Spring School (BISS-23) 12-19 Mar 2023 ----- ------- LINK
9. Hybrid Quantum Computing (Subject from School) Bertinoro International Spring School (BISS-23) 12-19 Mar 2023 ----- ------- LINK
10. AI for Everyone Bertinoro International Spring School (BISS-23) 12-19 Mar 2023 ----- ------- LINK
11. PHP Programming (Web Development) Buraq Institute of Science and Technology 12th-Apr-2014 ~ 1st-Jul-2014 -- 3 Months LINK

c. Certificates of Workshops/Seminars:

Sr. No. Certificate Name Issued By Dated Certificate
1. International Conference on Neonatal Neuroimaging and Monitoring and III Neonatal Neuroimaging Workshop1, 2 Universidad de Cádiz Nov, 2024 LINK
2. 9 AI Superpowers - Marketing Masterclass MMC Learning 7 Nov, 2024 LINK

5. Awards/Honors 🏆:

Sr. No. Award Type Awarded By Dated Reason
1. Erasmus Traineeship Erasmus+ Dec, 2024 Erasmus Scholarship for Research Activities in Spain
2. Italian Industrial Scholarship for PhD Position National Recovery and Resilience Plan(NRRP) & Ministry of Universities and Research MUR Nov, 2022 Fully Funded Scholarship for PhD
3. National Laptop Prime Minister Laptop Award Jan, 2019 National Laptop Winner in Prime Minister Laptop Scheme

6. Profile Links 📧:

a. Coding Platforms 💻:

Platform Link
GitHub https://github.com/rashidrao-pk
Kaggle https://www.kaggle.com/rashidrao
Mathworks https://www.mathworks.com/matlabcentral/profile/authors/14907465

b. Research Platforms 🌐:

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

c. Blog Posts 🌐:

Platform Link
Medium https://medium.com/@muhammad-rashid

7. Github Repositories Stats

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  1. 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 1

  2. 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 1

  3. lime_stratified lime_stratified Public

    Forked from marcotcr/lime

    Branch of LIME adding stratified Sampling

    JavaScript 2