In today's challenging and demanding environment, the need for research and innovation is vital. SMU responded effectively to this need by establishing its research center with the help of different collaborates working side by side. Its aim is to bridge between academia, the first portal to the professional world for students, then the public sphere, business community, and international partners. The research center envisions a homogenous frame of Business and Engineering for SMU to push expertise forward and seek excellence by building research infrastructure and being a resource center, therefore raise its profile and accentuate its vision, mission, and values aspects.
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.
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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.
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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.
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The Data Science and Analytics research group is at the forefront of transforming raw data into actionable intelligence. In our team, we collaborate on multidisciplinary projects that leverage machine learning algorithms, data analytics and mathematical modeling to decode patterns, predict trends and solve optimization problems.
From mathematical modeling to deep learning applications, we are committed to shaping the future of data science and unlocking the potential of numerical analysis.
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Comprised of dedicated researchers, faculty members, and passionate students, our group is committed to pushing the boundaries of financial knowledge and exploring the forefront of the finance field.
Our research activities encompass a wide array of topics, including but not limited to:
We engage in various activities, including seminars, workshops, collaborative projects, and publications in highly ranked journals, all aimed at contributing to the ever-evolving landscape of finance.
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