Hossam Magdy Balaha
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Biography
Hossam Magdy Balaha, born in Egypt in 1993, is a Ph.D. Candidate and Graduate Teaching Assistant (GTA) at the Bioengineering Department, J.B. Speed School of Engineering, University of Louisville (UofL), USA. He also serves as an Assistant Lecturer at the Computer Engineering and Control Systems Department, Faculty of Engineering, Mansoura University, Egypt. In addition to his academic roles, he is a Senior Full Stack Laravel Web Developer, AI Engineer, and Freelancer. Hossam earned his B.Sc. (with Honors, 94.23%) and M.Sc. (GPA: 4.0/4.0) degrees from the Computers Engineering and Systems Department at Mansoura University. He has developed several educational courses on YouTube covering Artificial Intelligence (AI), digital histopathology, radiomics, web development, and the Internet of Things (IoT), and authored the book The AI Starter Kit: From Data to Models with Python (2025). His research portfolio includes over 50 peer-reviewed publications (e.g., in Nature Scientific Reports, IEEE Access, Engineering Applications of Artificial Intelligence), one US patent on cervical vertebral maturation assessment using AI, and an H‑Index of 29 with 2,485 citations (as of Apr 11, 2026). He has received multiple prestigious recognitions, including the Top 2% Scientists Globally (2025, Stanford/Elsevier), Outstanding Graduate/Professional Student Award (2025), Exemplary Research Scholarship Award (2023, 2024), Outstanding International Student Award (2024), and a Best Student Paper Award at ICPR 2024. As a GTA, he teaches BE 544 (AI Techniques in Digital Histopathology) and BE 645 (AI and Radiomics), with course materials openly shared on GitHub and YouTube. His primary research interests span Medical Image Analysis, Deep Learning, Computer Vision, Radiomics, Explainable AI, and System Development. He actively serves as a reviewer for leading journals such as IEEE Transactions on Cybernetics, IEEE Access, JAIHC, and Multimedia Tools and Applications.
Long Biography
Hossam Magdy Balaha, born in Egypt in 1993, is a dedicated scholar whose academic and professional trajectory reflects a deep commitment to advancing Bioengineering, AI, and interdisciplinary translational research. He is currently a Ph.D. Candidate and Graduate Teaching Assistant (GTA) at the Bioengineering Department, J.B. Speed School of Engineering, University of Louisville (UofL), USA, and concurrently holds the position of Assistant Lecturer at Mansoura University, Egypt.
As a GTA at UofL, Hossam contributes significantly to both instruction and mentorship. He has taught and co-developed core graduate courses such as BE 544: Artificial Intelligence Techniques in Digital Histopathology and BE 645: Artificial Intelligence and Radiomics (Summer 2024 and Spring 2025), with all instructional resources (including lecture videos and code repositories) publicly available via YouTube and GitHub. He also supports undergraduate teaching in BE 354: Anatomy and Physiology and BE 654: Advanced Physiology. His pedagogical development is further evidenced by completion of UofL's GTA Academy (Parts I & II), Publishing Academy, and Community Engagement Academy (2024-2025).
At Mansoura University, he has instructed over 20 courses (including Computer Programming, AI, Computer Graphics, FPGA, and Multimedia) and supervised over 30 graduation projects. His contributions to education extend beyond the classroom: he has delivered numerous YouTube courses (e.g., Full Stack Web Development, IoT with Raspberry Pi), trained hundreds of students across multiple training centers, and authored The AI Starter Kit: From Data to Models with Python (Vol. 1, Amazon KDP, Dec. 2025).
Hossam's research impact is substantial: as of April 11, 2026, he holds an H‑Index of 29 with 2K+ citations (Google Scholar), and his scholarly output includes 50+ peer-reviewed works spanning high-impact journals (Nature Scientific Reports, IEEE Access, Engineering Applications of Artificial Intelligence, Bioengineering, Cancers, Soft Computing, etc.), 15+ conference papers (e.g., ICPR 2024, ISBI 2024-2025, ICIP 2024-2025), 10+ book chapters, and 1 granted US patent on AI-based cervical vertebral maturation assessment. His work consistently emphasizes clinical translation, explainability (e.g., SHAP, EigenCAM), and multi-modal integration; applied to cancers (breast, bladder, prostate, Wilms' tumor), neurodegenerative disorders (Parkinson's, AMD), and public health challenges (e.g., anosmia in COVID-19, smart city mobility).
His excellence has been widely recognized; in 2025 alone, he was named among the Top 2% Scientists Globally (Stanford/Elsevier), received the Outstanding Graduate/Professional Student Award, Outstanding Student Employee Award, and Certificate of Nomination for Outstanding Adult Learner at UofL, and was a finalist for the Excellence in Teaching and Inclusive Excellence awards. Earlier honors include the Exemplary Research Scholarship Award (2023, 2024), Outstanding International Student Award (2024), and a Best Student Paper Award (Track 6) at ICPR 2024. He also earned APPKI Doctoral Student Exemplary Achievement and Graduate Student Inventorship awards (2025).
Complementing his research, Hossam is actively engaged in service and leadership: he serves as Vice President for Events and Activities in International OASIS, is a Graduate Student Ambassador in UofL's Graduate School, volunteers with the Cardinal Cupboard, and is a regular blood donor with the American Red Cross. His NSF I‑Corps™ training (Winter 2024) and participation in AIM‑AHEAD further underscore his commitment to responsible innovation and equity in science.
A dedicated educator and mentor, Hossam values fairness, mutual respect, and equitable opportunity in academic and professional settings. He actively fosters inclusive learning environments and supports student success through culturally responsive teaching, mentorship, and collaborative engagement across diverse backgrounds. Through sustained scholarly productivity, dedicated mentorship, and community service, he continues to make meaningful contributions across academia, industry, and society.
Experience
Graduate Teaching Assistant (GTA) / Research Assistant (RA)
Graduate Teaching Assistant (GTA) / Research Assistant (RA) at the Bioengineering Department, J.B. Speed School of Engineering, University of Louisville, USA.
Assistant Lecturer (Assist. Lect.)
Assistant Lecturer with the Computers Engineering and Systems Department, Faculty of Engineering, Mansoura University, Egypt.
Teaching Assistant (TA)
Teaching Assistant with the Computers Engineering and Systems Department, Faculty of Engineering, Mansoura University, Egypt.
Sci. Interests (Ordered by Priority)
- Medical Image Analysis
- Deep Learning (DL)
- Machine Learning (ML)
- Artificial Intelligence (AI)
- Computer Vision (CV)
- Digital Image Processing (DIP)
- Soft Computing
- Meta-heuristic Optimization
- Web Development
- System Development
- Internet of Things (IoT)
- Cloud Computing
- Embedded Systems
- Robotics
Education
Interdisciplinary Studies: Specialization in Translational Bioengineering (PhD)
Artificial Intelligence in Medicine Diploma (Graduate Certificate)
Verified International Academic Qualifications
This badge indicates that World Education Services (WES) has evaluated the associated credential on behalf of the holder. Verifies the authenticity of the claimed credential. Provides assurance that the awarding institution and/or program was accredited at the point that the credential was issued Indicates that the associated credential has been assessed for its U.S. equivalency. Please see the evidence link below which is verification of only the credential with which it is associated.
M.Sc. in Computer Engineering and Control Systems
- Country: Egypt.
- Duration: Two Years.
- Year: 2020.
- Major: Computer Engineering and Control Systems.
- U.S. Equivalency: Master's Degree.
- Research Title: Proposing a Deep Learning Framework Model for Arabic Handwritten Text Recognition.
- Percentage Score (According to Mansoura University): 98.75/100%.
- GPA Score (According to WES): 4.00/4.00 (Credit Hours: 28 Hours).
- Completed Seminar Course Title: Web Scraping Techniques.
- For my U.S. World Education Services (WES) Evaluation, you can contact to retreive it.
B.Sc. in Computers and Systems Engineering
- Country: Egypt.
- Duration: Five Years.
- Year: 2016.
- Major: Computers and Systems Engineering.
- U.S. Equivalency: Bachelor's Degree.
- Percentage Score (According to Mansoura University): The First - 94.23/100% (Excellent with Honour).
- GPA Score (According to WES): 3.99/4.00 (Credit Hours: 155.5 Hours).
- Graduation Project Title: Automated Attendance and Sharing Information Systems using Face Recognition, Control Design, and IoT. Grade: Excellent.
- For my U.S. World Education Services (WES) Evaluation, you can contact to retreive it.
Languages
- Arabic (Native)
- English (Professional)
Patents
Cervical vertebral maturation assessment using an innovative artificial intelligence-based imaging analysis system
Authored Books
The AI Starter Kit: From Data to Models with Python: Volume 1: Foundations of Machine Learning (Machine Learning & Deep Learning Mastery: The Complete Hands-On Guide with Python)
- Paperback Link: https://www.amazon.com/dp/B0GBCFR74T
- Kindle Link: https://www.amazon.com/dp/B0G6YQGL1F
Communities
Omicron Delta Kappa
- From Nov 18, 2025 to Dec 31, 2028
- Link: https://my.odk.org
Official Scientific Awards
Top 2% Scientists Globally (2025)
Certificate of Nomination Recognition for the Outstanding Adult Learner Award (2025)
Outstanding Graduate/Professional Student Award (2025)
Outstanding Student Employee Award (2025)
Excellence in Teaching Award (Finalist) (2025)
Graduate Student Inventorship Award (2025)
APPKI Doctoral Student Exemplary Achievement Award (2025)
Best Graduate Student Peer-Reviewed Journal Paper Award (2025 and 2024)
Inclusive Excellence Award (Finalist) (2025 and 2024)
Certificate of Recognition for attending PLAN Workshops (2025 and 2024)
Best Student Paper Awards - Track 6
Second Place - Doctoral Engineering Student Award (Fall 2024)
Bioengineering Department Newsletter Recognition (Spring 2024)
Exemplary Research Scholarship Award (2024 and 2023)
Outstanding International Student Award (2024)
Scientific Academies and Workshops
Publishing Academy
GTA Academy Part 2: Advanced Concepts and Strategies in Post-Secondary Teaching
Fall 2024 Graduate Teaching Assistant (GTA) Academy Part I: Introduction to Teaching in Higher Education
Fall 2024 Community Engagement Academy (Part I)
Research Mentoring Program and Mentoring Academy (Part I)
Conferences and Talks
2nd Annual CAIRS Symposium (2023)
Teaching Experience
BE 544: Artificial Intelligence (AI) Techniques in Digital Histopathology
BE 645: Artificial Intelligence (AI) and Radiomics
BE 500: Differential Equations for Bioengineers
BE 354: Anatomy and Physiology
BE 654: Advanced Physiology
Computer Graphics (2021, 2019, 2018, 2017)
Database 2 (2021)
Control Engineering 2 (2021)
Computer Architecture (2) (2020, 2017)
Elective Course 2 (2019)
Digital Logic Design (2019, 2016)
Computer Architecture (2019)
Advance Robots (2019)
Data Structures and Algorithms (2019)
Computer Maintenance (2019)
Management Information Systems (2019, 2018)
Computer Programming using VB.Net (2019, 2019)
Microprocessors Design (2019)
Language Processing (2019)
Artificial Intelligence (2019, 2018, 2017)
Decision Support Systems (2019)
Computer Control Systems (2) (2019)
Elective Course 5 - Multimedia (2018, 2017)
Elective Course 4 - FPGA (2017)
Statistics with SPSS (2017)
Elective Course 4 - Information Technology Management and Making Decisions (2016)
Codes & Datasets
Published Journal Articles
From Hematoxylin and Eosin to Masson's Trichrome: A Comprehensive Framework for Virtual Stain Transformation in Chronic Liver Disease Diagnosis
Detection of disturbances and cyber-attacks in smart grids using explainable machine learning
Integrating machine learning and explainable AI for employee attrition prediction in HR analytics
A hybrid YOLOv8-EigenCAM model for accurate and interpretable plant disease classification
Revolutionizing breast cancer diagnosis: A computer-aided diagnosis framework with Vision Transformers for multistage histopathology-based classification
Explainable Computational Imaging for Precision Oncology: An Interpretable Deep Learning Framework for Bladder Cancer Histopathology Diagnosis
Embedding-driven dual-branch approach for accurate breast tumor cellularity classification
Prompt-Driven Multimodal Segmentation with Dynamic Fusion for Adaptive and Robust Medical Imaging with Applications to Cancer Diagnosis
Deep Learning for Pathology: YOLOv8 with EigenCAM for Reliable Colorectal Cancer Diagnostics
Empowering cognitive disabilities in transit: an explainable, emotion-aware ITS framework
AI-driven prognostics in pediatric bone marrow transplantation: a CAD approach with Bayesian and PSO optimization
LDD-VTS: an AI-based framework for lung disease diagnosis using vision transformers and SHAP
Adaptive Traffic Light Management for Mobility and Accessibility in Smart Cities
XV-AMD: An Explainable Vision Transformer Detection Framework for Age-Related Macular Degeneration Using Fundus Imaging
A Dual-Feature Framework for Enhanced Diagnosis of Myeloproliferative Neoplasm Subtypes Using Artificial Intelligence
H2LFR: a hybrid two-layered feature ranking approach for enhanced data analysis
ESARSA-MRFO-FS: Optimizing Manta-ray Foraging Optimizer using Expected-SARSA reinforcement learning for features selection
Enhancing Breast Cancer Diagnosis With Multi-Resolution Vision Transformers and Robust Decision-Making
H-UDMIR: A Hybrid Unsupervised Deep Learning Framework for Deformable Medical Image Registration
Challenging the status quo: Why artificial intelligence models must go beyond accuracy in cervical cancer diagnosis
AOA-guided hyperparameter refinement for precise medical image segmentation
A novel rotation and scale-invariant deep learning framework leveraging conical transformers for precise differentiation between meningioma and solitary fibrous tumor
Comprehensive multimodal approach for Parkinson's disease classification using artificial intelligence: insights and model explainability
Advancing eye disease detection: A comprehensive study on computer-aided diagnosis with vision transformers and SHAP explainability techniques
Explainable AI-Based Approach for Age-Related Macular Degeneration (AMD) Detection via Fundus Imaging
Incorporating Imaging, Clinical, Pathology, and Demographic Markers for Hormonal Therapy Prediction in Prostate Cancer
Cervical vertebral maturation assessment using an innovative artificial intelligence-based imaging analysis system
Early detection of monkeypox: Analysis and optimization of pretrained deep learning models using the Sparrow Search Algorithm
Artificial intelligence can help individualize wilms tumor treatment by predicting tumor response to preoperative chemotherapy
Artificial Intelligence-based Kidney Segmentation with Modified Cycle-Consistent Generative Adversarial Network and Appearance-based Shape Prior
Optimizing Vertebral Lesion Diagnosis: A CAD-Driven Machine Learning Classification System with Multi-Modal MRI Texture Analysis
DMDRDF: diabetes mellitus and retinopathy detection framework using artificial intelligence and feature selection
A Comprehensive Review of AI Diagnosis Strategies for Age-Related Macular Degeneration (AMD)
An Automated Metaheuristic-optimized Approach for Diagnosing and Classifying Brain Tumors Based on a Convolutional Neural Network
Advanced OCTA imaging segmentation: Unsupervised, non-linear retinal vessel detection using modified self-organizing maps and joint MGRF modeling
Insights into Personalized Care Strategies for Wilms Tumor: A Narrative Literature Review
Precise Prostate Cancer Assessment Using IVIM-Based Parametric Estimation of Blood Diffusion from DW-MRI
A Non-Invasive AI-Based System for Precise Grading of Anosmia in COVID-19 using Neuroimaging
Advancing feature ranking with hybrid feature ranking weighted majority model: a weighted majority voting strategy enhanced by the Harris hawks optimizer
Prostate cancer grading framework based on deep transfer learning and Aquila optimizer
An aseptic approach towards skin lesion localization and grading using deep learning and harris hawks optimization
A concentrated machine learning-based classification system for age-related macular degeneration (AMD) diagnosis using fundus images
Revolutionizing Oral Cancer Detection: An Approach Using Aquila and Gorilla Algorithms Optimized Transfer Learning-Based CNNs
Mathematical Modeling and Analysis of Credit Scoring Using the LIME Explainer: A Comprehensive Approach
A generic optimization and learning framework for Parkinson disease via speech and handwritten records
A variate brain tumor segmentation, optimization, and recognition framework
A comprehensive framework towards segmenting and classifying breast cancer patients using deep learning and Aquila optimizer
A two-stage renal disease classification based on transfer learning with hyperparameters optimization
Comprehensive machine and deep learning analysis of sensor-based human activity recognition
A0198 - Tailored treatment of childhood renal tumors using artificial intelligence to predict tumor response to preoperative chemotherapy
Prediction of Wilms' Tumor Susceptibility to Preoperative Chemotherapy Using a Novel Computer-Aided Prediction System
An Analysis of Burnout among Female Nurse Educators in Saudi Arabia Using K-Means Clustering
A variate brain tumor segmentation, optimization, and recognition framework
Role of Imaging and AI in the Evaluation of COVID-19 Infection: A Comprehensive Survey
Skin cancer diagnosis based on deep transfer learning and sparrow search algorithm
Construction and Writing Flaws of the Multiple-Choice Questions in the Published Test Banks of Obstetrics and Gynecology: Adoption, Caution, or Mitigation?
A generic optimization and learning framework for Parkinson disease via speech and handwritten records
An optimized deep learning approach for suicide detection through Arabic tweets
Classification of breast cancer using a manta-ray foraging optimized transfer learning framework
A vision-based deep learning approach for independent-users Arabic sign language interpretation
A3C-TL-GTO: Alzheimer Automatic Accurate Classification Using Transfer Learning and Artificial Gorilla Troops Optimizer
A multi-variate heart disease optimization and recognition framework
An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network
Hybrid deep learning and genetic algorithms approach (HMB-DLGAHA) for the early ultrasound diagnoses of breast cancer
A complete framework for accurate recognition and prognosis of COVID-19 patients based on deep transfer learning and feature classification approach
CovH2SD: A COVID-19 detection approach based on Harris Hawks Optimization and stacked deep learning
Hybrid COVID-19 segmentation and recognition framework (HMB-HCF) using deep learning and genetic algorithms
Recognizing arabic handwritten characters using deep learning and genetic algorithms
Human Action Recognition based on Transfer Learning Approach
An optimized transfer learning-based approach for automatic diagnosis of COVID-19 from chest x-ray images
Automatic Exam Correction Framework (AECF) for the MCQs, Essays, and Equations Matching
A new Arabic handwritten character recognition deep learning system (AHCR-DLS)
Automatic recognition of handwritten Arabic characters: a comprehensive review
Published Conference Papers
A Novel AI Framework for Breast Cancer Molecular Biomarker Response Score Detection on Cells Level Using Marker-Based Watershed Segmentation and Machine Learning Classifiers
Enhanced Cervical Vertebral Maturation Assessment Using AI-Based Imaging Analysis System
A Dual-Track Framework for Enhancing Age-Related Macular Degeneration Diagnosis Through Embedding and Vision Classification
Utilizing Shape-features and GAN-Based Model for Renal Segmentation in DW-MRI
A CT-based Prediction System for Determining Respiratory Support Level in COVID-19 Patients
Integrated Grading Framework for Histopathological Breast Cancer: Multi-level Vision Transformers, Textural Features, and Fusion Probability Network
Harnessing Vision Transformers for Precise and Explainable Breast Cancer Diagnosis
A Cascading Approach with Vision Transformers for Age-Related Macular Degeneration Diagnosis and Explainability
Histopathological Diagnosis of Meningioma and Solitary Fibrous Tumors Based on a Multi-scale Fusion Approach Utilizing Vision Transformer and Texture Analysis
A Multimodal MRI-based Framework for Thyroid Cancer Diagnosis Using eXplainable Machine Learning
A Neuroimaging Yolov8-Based Cad Framework for Anosmia Grading in Covid-19
A Novel Approach for 3D Renal Segmentation Using a Modified GAN Model and Texture Analysis
A Neuroimaging ML-Based Framework for Anosmia Grading in Covid-19
A Vision Transformer Approach for Breast Cancer Classification in Histopathology
Retinal Vascular System Segmentation based on Non-Linear Map-Based Estimation of Joint MGRF Model
A Novel Vit-Based Multi-Scaled and Rotation-Invariance Approach for Precise Differentiation Between Meningioma and Solitary Fibrous Tumor
A Novel Machine Learning-Based Classification Framework for Age-Related Macular Degeneration (AMD) Diagnosis from Fundus Images
Advancing Personalized Prostate Cancer Therapy Through Hormonal Treatment: Promising Findings
Early Diagnosis of Prostate Cancer Using Parametric Estimation of IVIM from DW-MRI
A novel textural and morphological-based cad system for early and accurate diagnosis of vertebral tumors
A novel An ai-based cap framework for Wilms' tumor preoperative chemotherapy susceptibility
Skills & Tools
Programming Languages
Web Backend
Web Frontend
Mobile Development
Technologies & Practices
Published Book Chapters
Toward explainable AI in lung cancer care: methods, clinical integration, and future cross-cancer insights
Comprehensive insights into COVID-19: advanced technologies for multi-dimensional understanding and combating the pandemic
Transfer learning, image fusion, and nutritional AI models for COVID-19 analysis
AI-driven segmentation techniques for COVID-19 pneumonia in medical imaging: a short review and future directions
A survey of artificial intelligence techniques for prognosis and severity prediction in COVID-19 infections
COVID-19 detection from chest CT: a survey of machine learning and deep learning approaches
Prediction of respiratory support levels in COVID-19 patients using a CT-based system
Challenges, opportunities, and future directions in AI for COVID-19 response
Advances in human activity recognition: Harnessing machine learning and deep learning with topological data analysis
Framework for segmentation, optimization, and recognition of multivariate brain tumors
Sensor-Based Human Activity Recognition Analysis Using Machine Learning and Topological Data Analysis (TDA)
Precision Grading of Glioma: A System for Accurate Diagnosis and Treatment Planning
Enhancing Accuracy in Liver Tumor Detection and Grading A Computer-Aided Diagnostic System
Activities and Volunteering
Scholarship Application Reviewer
Community Foundation of LouisvilleVolunteer, Cardinal Cupboard
University of LouisvilleGraduate Student Ambassador
University of Louisville Graduate SchoolVice President for Events and Activities
International OASIS, University of LouisvilleBlood and Platelet Donor
American Red Cross (Louisville, KY)Recent Certifications
5-Day Gen AI Intensive
5-Day AI Agents Intensive Course with Google
Machine Learning with Python: Foundations
Practical GitHub Actions
Certification of Completion: AIM-AHEAD
Statement of Accomplishment of the NSF I-Corps™ Southwest Winter 2024
Human Research & Human Subjects and HIPAA Research
Transfer Learning for NLP with TensorFlow Hub
Tweet Emotion Recognition with TensorFlow
Introduction to Basic Game Development using Scratch
Building a Business Presence With Facebook Marketing
Fine Tune BERT for Text Classification with TensorFlow
Career Certifications & Examinations
Test of English as a Foreign Language (TOEFL) Internet-based Test (iBT)
The Graduate Record Examination (GRE)
Scientific Publishing (النشر العلمي)
Quality Standards in the Teaching Process (معايير الجودة فى العملية التدريسية)
Research Ethics (اخلاقيات البحث العلمى)
Test of English as a Foreign Language (TOEFL) Institutional Testing Program (ITP)
The International Computer Driving Licence (ICDL)
References Management and Indexed Electronically Skills (ادارة المراجع و فهرستها الكترونيا)
Presentation Skills (العرض الفعال)
Scholarly Service
Editorial Appointments
Assistant Editor
Mansoura Engineering Journal
Oversee manuscript evaluation workflows, coordinate peer review processes, and ensure adherence to publication ethics and quality standards for engineering research submissions.
Editorial Community Member
Discover Editorial Community (Springer Nature)
Contribute to Springer Nature's open scholarly network, participating in editorial discussions, reviewer training initiatives, and community-driven improvements to peer review practices.
Peer Review Activities (Just a Selection of Journals)
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Journal
IEEE Access IEEE
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Journal
IEEE Transactions on Cybernetics IEEE
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Journal
Journal of Ambient Intelligence and Humanized Computing Springer
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Journal
Multimedia Tools and Applications Springer
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Journal
Soft Computing Springer
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Journal
Cognitive Computation Springer
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Journal
Environment, Systems and Decisions Springer
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Journal
Arabian Journal for Science and Engineering Springer
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Journal
Artificial Intelligence Review Springer
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Journal
Processes MDPI
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Journal
Electronics MDPI
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Journal
Informatics in Medicine Unlocked Elsevier
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Journal
Computers in Biology and Medicine Elsevier
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Journal
ISA Transactions Elsevier
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Journal
Frontiers in Neuroinformatics Frontiers
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Journal
Frontiers in Public Health Frontiers
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Journal
Applied Artificial Intelligence Taylor & Francis
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Journal
Connection Science Taylor & Francis
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Journal
PeerJ Computer Science PeerJ
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Journal
International Journal of Intelligent Systems Wiley
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Computational Intelligence and Neuroscience Hindawi
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Machine Graphics and Vision SGGW
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The Imaging Science Journal Taylor & Francis
Educational Content & Courses
BE 544: AI Techniques in Digital Histopathology
PlaylistGraduate course covering deep learning applications in computational pathology, including whole-slide image analysis, nuclei segmentation, and AI-driven diagnostic workflows.
BE 645: Artificial Intelligence and Radiomics
PlaylistAdvanced exploration of radiomics pipelines, feature extraction from medical images, and machine learning models for predictive oncology and personalized medicine applications.
BE 500: Differential Equations for Bioengineers
PlaylistFoundational course on ordinary and partial differential equations with applications to biomedical systems, including modeling of physiological processes and transport phenomena.
Full Stack Web Development
PlaylistComprehensive tutorial series covering modern web development workflows, including RESTful API design, authentication, database modeling, and responsive frontend implementation.
IoT Management System using Pi and PHP
PlaylistHands-on guide to building IoT solutions with Raspberry Pi, PHP backend services, sensor integration, and real-time data visualization for smart environments.
Raspberry Pi with Python
PlaylistPractical introduction to Raspberry Pi hardware programming using Python, covering GPIO control, sensor interfacing, and embedded system prototyping.
Introduction to Algorithms
PlaylistFoundational computer science concepts including sorting, searching, graph algorithms, and complexity analysis with practical implementation examples.
Work Experience
Full Stack Web and IoT Instructor
Full Stack Web and IoT Instructor at Technical and Laboratory Services Center (TLSC), Faculty of Engineering, Mansoura University, Mansoura, Egypt, from July 2019 to May 2020. Graduated groups: 2.
Technologies:
- HTML/HTML5
- CSS/CSS3
- Bootstrap
- JavaScript
- jQuery
- PHP
- MySQL
- Laravel
- Python
- Raspberry Pi
- Arduino
Full Stack Web Instructor
Technologies:
- HTML/HTML5
- CSS/CSS3
- Bootstrap
- JavaScript
- jQuery
- PHP
- MySQL
- Laravel
Full Stack Web Instructor
Technologies:
- HTML/HTML5
- CSS/CSS3
- Bootstrap
- JavaScript
- jQuery
- PHP
- MySQL
- Laravel
Full Stack Web and Cross-platform Mobile Instructor
Technologies:
- HTML/HTML5
- CSS/CSS3
- Bootstrap
- JavaScript
- jQuery
- PHP
- MySQL
- Laravel
- SASS
- ECMAScript/ES6
- React
- React Native
Full Stack Web and Cross-platform Mobile Instructor
Graduated groups: 9.
Technologies:
- HTML/HTML5
- CSS/CSS3
- Bootstrap
- JavaScript
- jQuery
- PHP
- MySQL
- Laravel
Full Stack Web Instructor
Technologies:
- ES6
Full Stack Web Instructor
Technologies:
- PHP
Remote Part-time Full Stack Web Developer / SEO Specialist
Remote Part-time Full Stack Web Developer / SEO Specialist at Panorama Al-Qasim company.
Technologies:
- HTML/HTML5
- CSS/CSS3
- Bootstrap
- JavaScript
- jQuery
- PHP
- MySQL
- Laravel
- SEO
Desktop, Web, and Mobile Applications
Arabuino
Invigilators Distribution for Faculty of Engineering
Capsule System - A modern vision for generating reports
Timetable Generator for the CSE Department
المؤسسة الاهلية لمطوفي حجاج تركيا و مسلمي أوروبا و أمريكا و أستراليا
نظام المساهمين
Asnaf for Building
Panorama Al-Qasim
E-Commerce Recommendation System (Lambda)
Diwan (Archiving Management System)
Al-Mohtrfeen
Al-Rowad Awazel
Eureka Masr
Smart Hand Sign Detection (Android) Mobile Application
Multiplayer Chess Game based on a C/S Architecture
Online Games Store Website
Emails and Chatting Management C/S System
Air2o (Android) Mobile Application
Rwad for Shipping
Team Spirit
Freelance
2021
2020
<= 2019
Judgment
Lion Follower Competition Judge
Competitions
ECO Smart Future House
Mine Sweeper Contest
Line Follower Contest
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Posters
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