Khalifa University AI Air Pollution Forecasting Abu Dhabi | AcademicJobs
Khalifa University researchers advance AI-driven air pollution forecasting in Abu Dhabi with a new Nature Scientific Reports paper on multi-model ML for NO₂ and O₃.
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Shaik Basheeruddin Shah is a Post-Doctoral Fellow at Khalifa University. He holds a Doctor of Philosophy in Signal Processing from Shiv Nadar University and a Master of Technology from Rajiv Gandhi University of Knowledge Technologies, Nuzvid. His academic career includes a postdoctoral position at the Weizmann Institute of Science prior to his current appointment at Khalifa University in 2024.
Shah’s research focuses on signal processing, including model-based approaches, complex conjugate pair sums, and related applications in electrical engineering. He has authored or co-authored publications such as “Properties of Type-2 Complex Conjugate Pair Sums and Their Applications” (2024) and contributed to work on modulo sampling performance guarantees. His contributions appear in peer-reviewed outlets, with a verified Google Scholar profile listing multiple papers in the field. Shah is affiliated with the College of Engineering and Physical Sciences at Khalifa University, where his work supports advancements in signal processing techniques.
Khalifa University researchers advance AI-driven air pollution forecasting in Abu Dhabi with a new Nature Scientific Reports paper on multi-model ML for NO₂ and O₃.