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Extensions of Dynamic Programming, Machine Learning, Discrete Optimization
Extensions of Dynamic Programming, Machine Learning, Discrete Optimization

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Low-complexity interference mitigation

Amr I. Tammam

Postdoctoral Research Fellow, Communication Theory Lab

Wireless Communications Low-complexity interference mitigation

Amr I.Tammam was a Research Scientist in CTL(Communication Theory Lab), KAUST. He now works in Toshiba Research Lab, bristol, UK. Selected Publications Ph.D. Thesis: A. Ismail, “On The Design of Low-Complexity Space-Time Codes for MIMO Systems,” Telecommunications Department, École Supérieured'Électricité (SUPELEC), Gif-sur-Yvette, France, Nov. 2011. Journal Publications: P. Pagani, A. Ismail, and A. Zeddam, "Path identification in a power line network based on channel transfer function measurements," IEEE Transactions on Power Delivery, vol. 27, pp. 1081 - 1089, Jul. 2012. A. Ismail, J

Extensions of Dynamic Programming, Machine Learning, Discrete Optimization (TREES)

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