Invited Sessions

For the MAIH24 Conference, participants can organize invited sessions. In this case, the topics should fall within the scope of the Conference and should be sufficiently specific (and not too broad). Contributions to these invited sessions can be in the paper Regular format.

Invited sessions must be formed with 5 to 8 papers on a specific research subject and based on personal invitation by the organizers. The organizers are responsible for attracting contributors; the proposal will be advertised on the MAIH24 Website, and anyone interested can submit their contributions.

An invited session proposal should be limited to 6 pages (in conference template) and include:

  • Title
  • Abstract
  • Detailed description of the topic

If you are interested in organizing an invited session solicit potential speakers and contributors. Once you have your committed participants, you can submit your proposal online from …………. to …….. 2024.

Up on submission of the proposal, the organizers will receive a code for the session. The code should be distributed to the contributors, which will be needed at the time of submission of their papers.

Reviewing of Invited Sessions 

Each paper will be individually reviewed. Invited session proposals will also be evaluated as a whole. At the proposal of the program committee, individual papers may be removed from the proposed session and be placed in the regular program, and appropriate contributed papers may be moved to the sessions. Likewise, selected papers from rejected invited sessions may be placed in the regular program.

Contact

For further information regarding invited sessions, please contact us via the following email address:

Email : maih24@gmail.com

             zeroual@uca.ac.ma

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Professor Intissar Haddiya

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Artificial intelligence in healthcare: a focus on the best practices

Abstract:

 The healthcare sector is undergoing a significant transformation driven by Artificial Intelligence (AI). AI applications in clinical practice offer a multitude of benefits for patient care, including earlier and more accurate diagnoses, personalized treatment planning, and improved access to information through virtual assistants. However, alongside this potential, challenges and ethical considerations remain. Data privacy, algorithmic bias, transparency of AI decision-making, and responsible use are crucial areas that require careful attention. Our presentation emphasizes the importance of establishing robust best practices within healthcare institutions and fostering collaboration among clinicians, data scientists, patients, and policymakers. Through careful consideration and ongoing refinement of AI technologies, we can leverage its potential to improve patient outcomes while upholding ethical standards and public health priorities.

 

For more information (Click here)

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Professor Abdelhafid El Ouardi        And       Professor Sergio Rodriguez Florez

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Advances in Hardware-Software Codesign applied to Intelligent Transportation Systems

Abstract:

Scientific studies reveal that a significant proportion of accidents results from human errors, prompting a need for technological improvements to address this issue. The challenges faced in designing perception, driving assistance, data analysis, and control systems with embedded hardware architectures include constraints such as sensor interfaces, computing power, time, and energy consumption. As applications in embedded systems, especially in real-time contexts, become increasingly complex, there is a need for an algorithm-architecture mapping approach, particularly in the development of emerging AI-based systems. Perception emerges as a critical element in the design of automated transportation systems, where decision-making, trajectory planning, and control functions rely on the acquisition and analysis of information about the vehicle and its environment. This comprehensive approach seeks optimality in software–hardware codesign that allows for the design of efficient systems.

This session will be dedicated to presenting and discussing recent and advanced research works on Hardware-Software Codesign in the field of robotics and intelligent transportation systems.

For more information (Click here)

 

 
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