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MedTech Research Groups

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MedTech Research Groups

SMU Research groups are built to interact and identify challenges and explore new insights to co-produce high quality research. These groups also bring together faculty and research students with similar research interests to develop ideas, undertake projects and share expertise. 

The main idea behind the work of these Research groups is to value the contribution of SMU to organizations. They are built to interact and engage with industry, build partnerships, identify challenges and explore new insights to co-produce solutions for them. 

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Since its creation in 2018, Software Improvement Laboratory (SIM) has been dedicating its efforts to all software engineering activities from developing, designing, and testing the software to researching new techniques, approaches and technologies.  

In the broad field of Software Engineering, the main research areas SIM focuses on are: 

  • Software verification and validation 

  • Software Refactoring 

  • Software Measurement 

SIM’s interests include collaborating with large industrial players. One of its major collaborations is with Sama Partner, a German IT company. 

Keywords:

MedTech Research Group Software engineering Computer science Génie logiciel Master génie logiciel Licence informatique

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As the only university that provides the renewable energy engineering program, it is Medtech’s obligation to enhance the faculty and scholars’ knowledge in the field. This obligation is pursued through the research unit, Sustainable Energy Research Group (SERG). SERG’s mission is to study and analyze the efficiency of cutting-edge renewable energy technologies, namely microalgal-biofuel technologies, energy efficiency in buildings and materials for renewable energy applications.

Keywords:

MedTech Research Group Renewable Energy Engineering Sustainability Energy Management Génie Energies Renouvelables Master Energy Management and Sustainability Master Gestion de l’Energie et Développement Durable

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The main scope of the “Innovation on Advanced Computer Technologies” (I-ACT) Research Group is to innovate in the field of Computer Systems Engineering. 

Our research incorporates various aspects on designing and optimizing secured systems such as: Cybersecurity, Computer Network, Blockchain, Artificial Intelligence (AI), Machine Learning (ML), Robotics, Wireless Sensor Network (WSN), precision farming, localization, Internet of Thing (IoT), Optimization of complex systems and secure distributed systems.  

Keywords:

MedTech Research Group Computer Network Cybersecurity Blockchain Artificial Intelligence(AI) Machine Learning (ML) Robotics Precision farming Localization Optimization of complex systems Secure distributed systems

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This is a collaborative consortium formed of professors from both the Mediterranean School of Business (MSB) and the Mediterranean Institute of Technology (MedTech). This interdisciplinary group is committed to addressing challenges and opportunities in education, advancing knowledge, and promoting innovation in several research areas, with a primary focus on the Integration of Technology in Education, Pedagogical Innovations, Assessment and Evaluation, Comparative Education, Faculty Development and Training, Curriculum Design and Redesign, Student Perspectives and Experiences, etc. Additionally, it aims to make a substantial contribution to the advancement of educational practices. The outcomes of the research are expected to have a positive impact on students, faculty, and the University and to foster continuous improvement in education at SMU and beyond.

Keywords:

MSB Research Group MedTech Research Group Technology in Education Pedagogical Innovations Assessment and Evaluation Comparative Education Faculty Development Curriculum Design Student Experiences Educational Impact

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The Artificial Intelligence (AI) Research Group focuses on advancing the scientific understanding of AI, Machine Learning(ML), and Deep Learning (DL) to foster impactful discoveries. The group's mission is to provide an interdisciplinary environment that serves as a platform for theoretical concepts and practical applications in real-world scenarios, bridging the gap between AI professionals and researchers from various domains. By doing so, it empowers other disciplines with AI capabilities and drives innovative thinking and transformative discoveries, leading MedTech, SMU in the international AI community.

Keywords:

Machine Learning Deep Learning Language Models Image Processing Applied AI
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