Nadim Saad
Assistant Teaching Professor
Research interests
- Artificial intelligence
- Computer science education
- Deep learning
Education
- PhD in Computational and Mathematical Engineering, Stanford University
- MSc in Computational and Mathematical Engineering, Stanford University
- BSc in Applied Mathematics, American University of Beirut — Lebanon
Biography
Nadim Saad is an assistant teaching professor at the Khoury College of Computer Sciences at Northeastern University, based in Silicon Valley. With a background in computational engineering and a passion for mentoring, he provides both depth and clarity to courses in foundational computer science and artificial intelligence.
Prior to joining Northeastern in 2023, Saad conducted doctoral research at Stanford University, exploring the use of machine learning to model traffic flow with partial differential equations (PDEs). His experience as an applied scientist intern at Amazon Web Services (AWS), where he developed physically informed deep learning models, has heavily influenced his practical teaching style.
Saad is committed to empowering students to become confident and curious technologists, guiding them from introductory concepts to advanced machine learning theories at Khoury College.
Recent publications
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Guiding continuous operator learning through Physics-based boundary constraints
Citation: Nadim Saad, Gaurav Gupta, Shima Alizadeh, Danielle C. Maddix. (2022). Guiding continuous operator learning through Physics-based boundary constraints CoRR, abs/2212.07477. https://doi.org/10.48550/arXiv.2212.07477 -
Modeling Advection on Directed Graphs using Matérn Gaussian Processes for Traffic Flow
Citation: Danielle C. Maddix, Nadim Saad, Yuyang Wang . (2022). Modeling Advection on Directed Graphs using Matérn Gaussian Processes for Traffic Flow CoRR, abs/2201.00001. https://arxiv.org/abs/2201.00001