Canadian University Dubai students lead the way in tech research and innovation

Anthony’s research paper provides a comprehensive evaluation of techniques critical in fields like biomedical science

Undergraduate engineers deliver advancements in robotics and data science 

Dubai, Sept 29, 2025: Two engineering and technology students at Canadian University Dubai (CUD) gain international recognition with pioneering projects in the fields of robotics and data science, proving how the next generation is leading in the advancement of technology.  

Karthika Manoj and Anthony Ibrahim, both emerging talents in the engineering domain are demonstrating the power of undergraduate research in driving global innovation.  

A student in the Computer and Networking Engineering program, Karthika was able to solve real-world problems in robotics during her three-week research traineeship in Germany with the Department of Automated and Autonomous Systems at the Technical University of Freiberg.  

Karthika worked with an existing simulator for the Unitree G1 U-6 humanoid robot

Karthika worked with an existing simulator for the Unitree G1 U-6 humanoid robot, a platform with a human-like form factor used in scenarios where replicating human anatomy is important to accomplish specific tasks.   

Karthika’s traineeship marked the beginning of a wider partnership between CUD and TU Freiberg. Dr. Arash Kermani Kolankeh, Associate Professor in the School of Engineering, Applied Science and Technology at CUD, said, “This collaboration with TU Freiberg is part of a broader strategy to immerse our students in the production-oriented research cultures of industrialized nations. We’re now working on expanding this collaboration, including official internships and faculty exchanges in the near future.”   

Anthony, a third-year Mechatronics Engineering student, presented his research at the 7th HCT International Multi-Conferences on Advances in Science & Engineering Technology (ASET 2025). His paper, titled ‘Empirical Analysis of Feature Selection Methods under Varying Selection Thresholds’ provides a comprehensive evaluation of techniques that are critical in fields like biomedical science.    

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Dr. Firuz Kamalov, Professor in the School of Engineering, Applied Science and Technology, and Anthony’s guide says, “Anthony’s research represents the type of critical inquiry we encourage at CUD, one that combines rigorous data analysis with practical applications. His study on feature selection methods not only contributes to the academic community but also opens the door for advancements in biomedical sciences and AI.”  

Dr. Sherif Moussa, Professor and Dean of the School of Engineering, Applied Science and Technology said, “These initiatives exemplify CUD’s commitment to experiential learning, international collaboration, and academic mentorship, set in the context of our continuing efforts to support the UN Sustainable Development Goals around education and innovation. Karthika and Anthony are demonstrating the real-world impact that students can have at undergraduate level, while setting the standards for the next generation of tech leaders.”