プロフィール詳細

プロジェクトを作成

★★★★★

☆☆☆☆☆

★★★★★

☆☆☆☆☆

Rashid R.に依頼

Italy

Computer Vision, Machine Learning, Deep Learning and Data Science Expert

プロフィール概要

Hi, I am a Ph.D. Scholar from Italy, doing research in eXplainable AI (XAI) for computer vision tasks. My background includes Computer Vision using python Matlab in multiple domains like Object Detection and Recognition, Face Recognition, Scene Images, Medical Imaging(Stomach, Skin, Brain, Lungs, Eye, Bones), Agriculture, Facial Recognition and many more.

専門分野

• ★ Machine Learning
• ★ Artificial Intelligence
• ★ Computer Vision
• ☆ Software Engineering
• ☆ Data Analysis
• ☆ Neural Networks
• ☆ Deep Learning

サービス

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research User Research, Feasibility Study, Gap Analysis, Scientific and Technical Research

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Image Processing, Image Analysis, Data Visualization, Big Data Analytics, Data Cleaning, Data Processing

Product Development Formulation, Product Evaluation, Product Validation

職務経験

Data Science and Machine Learning Freelancer

Comsast Institute of Information technology

1月 2007 - 現在

学歴

Ph. D. (Computer Science)

COMSATS University Islamabad - Wah Campus

2月 2020 - 現在

MSCS (Computer science )

COMSATS University Islamabad - Wah Campus

2月 2017 - 9月 2019

BS Computer Science (Computer Science)

Allama Iqbal Open University

2月 2010 - 8月 2016

認定資格

• AI for Everyone

  coursera

  https://www.coursera.org/account/accomplishments/certificate/XFEK65GWB3MF

  8月 2022 - 現在

• PHP Programming

  Buraq Institute of Science and Technology

  4月 2014 - 現在

• Diploma in Office Managment

  Elysium Computer College

  3月 2007 - 現在

出版物

JOURNAL ARTICLE

Muhammad Sharif and Muhammad Attique Khan and Muhammad Rashid and Mussarat Yasmin and Farhat Afza and Urcun John Tanik(2021). Deep CNN and geometric features-based gastrointestinal tract diseases detection and classification from wireless capsule endoscopy images . Journal of Experimental & Theoretical Artificial Intelligence. 33. (4). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 577--599. Informa {UK} Limited

Inzamam Mashood Nasir and Muhammad Rashid and Jamal Hussain Shah and Muhammad Sharif and Muhammad Yahiya Haider Awan and Monagi H. Alkinani(2021). An Optimized Approach for Breast Cancer Classification for Histopathological Images Based on Hybrid Feature Set . Current Medical Imaging Formerly Current Medical Imaging Reviews). 17. (1). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 136--147. Bentham Science Publishers Ltd.

M. Attique Khan and Tallha Akram and Muhammad Sharif and Kashif Javed and Muhammad Rashid and Syed Ahmad Chan Bukhari(2020). An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection . Neural Computing and Applications. 32. (20). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 15929--15948. Springer Science and Business Media {LLC}

Muhammad Rashid and Muhammad Attique Khan and Majed Alhaisoni and Shui-Hua Wang and Syed Rameez Naqvi and Amjad Rehman and Tanzila Saba(2020). A Sustainable Deep Learning Framework for Object Recognition Using Multi-Layers Deep Features Fusion and Selection . Sustainability. 12. (12). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 5037. {MDPI} {AG}

Muhammad Attique Khan and Muhammad Rashid and Muhammad Sharif and Kashif Javed and Tallha Akram(2019). Classification of gastrointestinal diseases of stomach from WCE using improved saliency-based method and discriminant features selection . Multimedia Tools and Applications. 78. (19). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 27743--27770. Springer Science and Business Media {LLC}

(2019). Region-based active contour JSEG fusion technique for skin lesion segmentation from dermoscopic images . Biomedical Research.

Muhammad Rashid and Muhammad Attique Khan and Muhammad Sharif and Mudassar Raza and Muhammad Masood Sarfraz and Farhat Afza(2019). Object detection and classification: a joint selection and fusion strategy of deep convolutional neural network and SIFT point features . Multimedia Tools and Applications. 78. (12). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 15751--15777. Springer Science and Business Media {LLC}