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Mustapha Hamdi

AI Research Scientist
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Profile: Mustapha Hamdi, Ph.D.



Position: Founder, InnoDeep
Location: Monaco

Academic Background


Mustapha Hamdi holds a Ph.D. in Computer Engineering from INSA CVL. His expertise is deeply rooted in artificial intelligence (AI) and Internet of Things (IoT), making him a significant figure in the field of AI research and application.

Professional Experience


Current Roles:
  • Founder, InnoDeep: Mustapha Hamdi established InnoDeep to leverage AI for enhanced healthcare solutions, notably in medical diagnostics and cancer detection.

  • AI Research Scientist at InnoDeep: Active involvement in projects aimed at improving diagnostic accuracy using three-dimensional imaging and AI-driven platforms.

  • Associate Professor, INSAT: Engages in academic roles, training future experts in AI and related technologies.

  • AWS Accredited Instructor: Certified to deliver training on AWS platforms, highlighting his proficiency in cloud computing and AI integration.

  • Artificial Intelligence Consultant, UNESCO: Provides AI consultancy services for educational, scientific, and cultural projects.


Previous and Concurrent Roles:
  • Maitre Assistant at INSAT: Ongoing role since 2012, focusing on academic training and research in AI.

  • Artificial Intelligence Consultant (2021), UNESCO: Contributed to various AI projects, emphasizing educational outreach and technological integration.


Notable Projects and Initiatives


1. Healthcare Augmentation: Discussion on how AI can augment medical professionals' capabilities, presented at various conferences, including the Digital Innovation Summit in Monaco.
2. AI-driven Medical Diagnostics: Developed a cloud-based platform for remote diagnostic capabilities during the COVID-19 pandemic, enabling efficient processing and analysis of CT Scan images to detect lung lesions.
3. AI for Coral Reefs 2 Challenge: Active participation in conservation efforts utilizing AI for environmental sustainability.
4. AI in Sports Performance Analysis (TalencIA): Introduced AI at AWS Sport Day in Roland-Garros, showcasing how AI can revolutionize sports through performance analysis and inclusivity.

Public Speaking and Conferences


  • Digital Innovation Summit, Monaco (2023): Highlighted AI and blockchain's transformative potential across various industries.

  • Forum International de Santé Numérique: Engaged in discussions and partnership negotiations, expanding InnoDeep's impact in digital healthcare.

  • Numerous Speaking Engagements: Frequently presents on the application of AI in healthcare, data privacy, and digital innovation.


Publications and Online Presence



  • Google Scholar Citations: Engaged in scholarly work on topics such as bio-nanorobotics and molecular dynamics simulations.


Key Achievements


  • Revolutionized Medical Diagnostics: Through InnoDeep, Mustapha Hamdi has enabled more accurate cancer diagnoses using 3D imaging technologies.

  • AI and Healthcare: Played a pivotal role in discussing and demonstrating how AI can support and enhance healthcare services, particularly during critical times like the COVID-19 pandemic.

  • Global Outreach: Through UNESCO and AWS, contributed to global educational and technological advancements, promoting digital literacy and innovation.


Relevant Skills and Certifications


  • AI and IoT Expertise: Comprehensive knowledge and application of AI in various technological domains.

  • Academic Training and Leadership: Proven ability to lead and mentor in academic settings, fostering the next generation of AI experts.

  • Cloud Computing Proficiency: Certified as an AWS Instructor, indicating advanced skills in cloud-based technologies and their practical applications in AI.


Contact Information:
For demonstrations and further inquiries, Mustapha Hamdi can be reached at contact@innodeep.net.




This report aims to provide a thorough profile of Mustapha Hamdi, Ph.D., highlighting his expertise and contributions to AI and healthcare, which may be beneficial for sales and partnership opportunities in related domains.
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