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implement optimization models tailored to transportation and logistics contexts. Develop and refine custom heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to solve large-scale, real
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efficiency-oriented methods, and disseminating research outcomes through publications, collaborations, and open-source contributions. Key Responsibilities: Develop accelerated AI/ML and robotics algorithms
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the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon
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on the project of NEMO Sub-Project C: Passive UE activity inference (4/5G) from OTA network traffic. The role will focus on developing algorithms and methods for processing and analyzing 5G signals. We
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and engineers on developing resource-efficient, adaptive learning frameworks for complex data environments. Key Responsibilities: Design and implement ensemble learning algorithms and optimization
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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Conduct programming and software development
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data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems, which can benefit a wide range of real-world
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Responsibilities: Design, implement, and tune algorithms for digital control, A/D sampling, pulse synchronization tailored for power converters applications (DC-DC, AC-DC, DC-AC). Develop and implement firmware
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research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in
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analysis tools for package and chip access, imaging and security assessment. The CA team researches the design and development of advanced algorithms and tools for automatic and efficient analysis of VLSI