Baghdadi Riyadh
Baghdadi Riyadh
Category : Mathematics - Computer science - Artificial intelligence
BAGHDADI Riyadh
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Assistant Professor in Computer Science New York University Abu Dhabi (NYUAD), United Arab Emirates |
Origins & Education
Of Algerian origin, Riyadh Baghdadi has followed an exemplary academic path, from Algiers to the United States via Paris. He obtained his engineering degree from the École Supérieure d'Informatique (ESI) in Algiers, a renowned institution for training Algeria's top computer scientists. Continuing his academic ascent, he subsequently earned his Master's and PhD degrees from Sorbonne University (Paris VI) in France, where he worked in collaboration with the National Institute for Research in Computer Science and Automation (INRIA), one of Europe's most prestigious research centers. After completing his doctorate, Riyadh pursued a postdoctoral fellowship at the Massachusetts Institute of Technology (MIT), an institution globally recognized for excellence in computer science and artificial intelligence research. This trajectory demonstrates his determination and passion for both theoretical and applied computer science.
Scientific Career
Dr. Baghdadi's scientific career is marked by significant contributions to the field of compilers and applied machine learning. During his postdoctoral research at MIT, he developed the Tiramisu compiler, an innovative tool designed to optimize deep learning applications, image processing, and scientific computing. Currently, as an Assistant Professor in the Computer Science Department at New York University Abu Dhabi (NYUAD), he continues his research at the intersection of compilers and applied machine learning. He also holds the position of Global Network Assistant Professor at NYU's Tandon School of Engineering and maintains his affiliation with MIT as a Research Affiliate. His current work focuses on developing compilers that can take high-level code and optimize it automatically to generate highly efficient code, particularly using machine learning to achieve this goal. In parallel, he works on techniques to accelerate deep learning training and inference, notably by exploiting the sparsity of weights in deep neural networks. These innovations aim to enable the use of sophisticated deep learning models on platforms with limited computational resources, such as smartphones or autonomous vehicles.
Distinctions & Recognition
Dr. Baghdadi has received several distinctions throughout his career, testifying to the excellence and impact of his research. He has been recognized as one of the youngest Algerian researchers at the prestigious Massachusetts Institute of Technology (MIT), a distinction that has been featured in Algerian press. His integration into NYU's academic ecosystem and his continued affiliation with MIT demonstrate the international recognition of his skills and contribution to computer science research. His Tiramisu compiler has also been acknowledged in the scientific community as a significant advancement in the field of automatic code optimization for deep learning and scientific computing.
Impact & Influence
Dr. Baghdadi's work at the intersection of compilers and machine learning has a considerable impact on the development of more efficient and accessible computing systems. The Tiramisu compiler he developed at MIT represents a major advancement for automatic code optimization for deep learning, image processing, and scientific computing. His current research on accelerating the training and inference of deep neural networks paves the way for implementing sophisticated AI models on devices with limited resources, thus democratizing access to advanced artificial intelligence. By exploiting the sparsity of neural network weights, his work contributes to reducing energy consumption and computational resource requirements, a crucial issue in the era of rapid AI expansion. Through his teaching and mentoring at NYUAD, he is also training the next generation of researchers and engineers at the interface between compilation and artificial intelligence, thereby multiplying the impact of his scientific contributions.
Learn More
Email: baghdadi@nyu.edu
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