プロフィール詳細

プロジェクトを作成

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Dr. Ilham L.に依頼

Morocco

PhD in Computer Science | AI & Medical Imaging Research Consultant | PhD Supervision Support & Journal Review

プロフィール概要

I am a PhD-qualified computer science researcher and senior lecturer specializing in artificial intelligence, computer vision, and medical imaging. I provide high-level research consulting for PhD students, postdoctoral researchers, and academic or industrial research teams working on AI-driven projects. My expertise focuses on methodological guidance, experimental design, and technical validation of research work intended for submission to peer-reviewed journals (IEEE, Elsevier, Springer) or international conferences. I offer ethical research support only: guidance, validation, and technical review. I do not engage in ghostwriting or unethical authorship practices. My services are particularly suited for clients who require: - Rigorous experimental design and statistical validation - Well-justified ablation studies - Reproducible deep-learning pipelines - Pre-submission technical review of AI research papers - Structured PhD supervision support (methodology and experiments)

専門分野

• ☆ Data Analysis
• ☆ Machine Learning
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Medical Imaging/Radiology
• ☆ Mammography
• ☆ Research Methodology

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing, General Proofreading & Editing

Research Meta-Research, Gap Analysis, Scientific and Technical Research, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-ML

職務経験

Senior Lecturer and Researcher in Computer Science

National School of Applied Sciences of Berrechid

11月 2025 - 現在

AI & Medical Imaging Research Consultant

Independent Research Consultant

1月 2021 - 現在

学歴

PhD in Computer Science

Université Hassan II - Aïn Chock - Morocco

1月 2016 - 4月 2021

認定資格

• Doctorate (PhD) in Computer Science

  Université Hassan II

  1月 2016 - 現在

出版物

BOOK CHAPTER

Fatima Zahra Didast, Rym Nassih, Ilhame Ait Lbachir (2025). Improving Demand Forecasting Through an Ensemble Method Using Adaptive Models and External Factors .

Imane Samiry, Ilhame Ait Lbachir, Imane Daoudi, Saida Tallal, Sayouti Adil (2023). Digital Breast Tomosynthesis Reconstruction Techniques in Healthcare Systems: A Review . Bioinformatics and Biomedical Engineering.

Ilhame Ait Lbachir, Ilhame Ait lbachir, Rachida Es-salhi, Imane Daoudi, Saida Tallal, Hicham Medromi(2017). A Survey on Segmentation Techniques of Mammogram Images . Lecture Notes in Electrical Engineering. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 545--556. Springer Singapore

Ilhame Ait Lbachir, Ilhame Ait lbachir, Rachida Es-salhi, Imane Daoudi, Saida Tallal, Hicham Medromi(2017). A Survey on Segmentation Techniques of Mammogram Images . Lecture Notes in Electrical Engineering. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 545--556. Springer Singapore

Ilhame Ait Lbachir, Ilhame Ait lbachir, Rachida Es-salhi, Imane Daoudi, Saida Tallal, Hicham Medromi(2017). A Survey on Segmentation Techniques of Mammogram Images . Lecture Notes in Electrical Engineering. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 545--556. Springer Singapore

Ilhame Ait Lbachir, Ilhame Ait lbachir, Rachida Es-salhi, Imane Daoudi, Saida Tallal, Hicham Medromi(2017). A Survey on Segmentation Techniques of Mammogram Images . Lecture Notes in Electrical Engineering. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 545--556. Springer Singapore

CONFERENCE PAPER

Samiry, I., Ait Lbachir, I., Daoudi, I., Tallal, S., Adil, S.(2023). Digital Breast Tomosynthesis Reconstruction Techniques in Healthcare Systems: A Review . Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 13920 LNBI. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 245-255.

Ilhame Ait Lbachir, Ilhame Ait Lbachir, Imane Daoudi, Saadia Tallal(2018). Automatic detection of suspicious lesions in mammograms by histogram-peak-analysis based K-means . 2018 9th International Symposium on Signal, Image, Video and Communications (ISIVC). {IEEE}

Lbachir, I.A., Daoudi, I., Tallal, S.(2018). Automatic detection of suspicious lesions in mammograms by histogram-peak-analysis based K-means . 9th International Symposium on Signal, Image, Video and Communications, ISIVC 2018 - Proceedings. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 16-21.

Ilhame Ait Lbachir, Rachida Es-Salhi, Imane Daoudi, Saadia Tallal (2017). A New Mammogram Preprocessing Method for Computer-Aided Diagnosis Systems . 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA).

Lbachir, I.A., Es-Salhi, R., Daoudi, I., Tallal, S.(2017). A new mammogram preprocessing method for computer-aided diagnosis systems . Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA. 2017-October. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 166-171.

Ait Lbachir, I., Es-Salhi, R., Daoudii, I., Tallal, S., Medromi, H.(2017). A survey on segmentation techniques of mammogram images . Lecture Notes in Electrical Engineering. 397. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 545-556.

JOURNAL ARTICLE

Ilhame Ait Lbachir, Imane Daoudi, Saadia Tallal(2021). Automatic computer-aided diagnosis system for mass detection and classification in mammography . Multimedia Tools and Applications. 80. (6). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 9493--9525. Springer Science and Business Media {LLC}

Automatic computer-aided diagnosis system for mass detection and classification in mammography <head> <META HTTP-EQUIV="Refresh" CONTENT="0;URL=/servlet/useragent"> </head> . Multimedia Tools and Applications.

Lbachir, I.A., Daoudi, I., Tallal, S.(2021). Automatic computer-aided diagnosis system for mass detection and classification in mammography . Multimedia Tools and Applications. 80. (6). Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 9493-9525.