Visiting B.S. Student, Computer, Electrical and Mathematical Sciences and Engineering , Quantitative Researcher at Chicago Trading Company PhD candidate at California Institute of Technology

Research Interests

  • Optimization.
  • non-convex methods.
  • Machine learning.
  • Cloud-radio access networks.
  • Network coding.
  • Cooperative communication.
  • Broadcast and Multicast Networks.

Qualifications

Education

Doctor of Philosophy (Ph.D.)
Electrical and Electronics Engineering, California Institute of Technology,, United States, 2020
Master of Engineering (MEng)
Electrical Engineering, King Abdullah University of Science and Technology, Saudi Arabia, 2015
Diploma (Dipl.-Ing.-M.Eng.)
Electronics and Communications Engineering, Ecole Polytechnique de Tunisie, Tunisia, 2013

Languages

Arabic
Native or bilingual proficiency
English
Full professional proficiency

Selected Publications

  • Douik, A. ., & Hassibi, B. . (2019). Manifold Optimization Over the Set of Doubly Stochastic Matrices: A Second-Order Geometry.
  • Douik, A. ., Dahrouj, H. ., Al-Naffouri, T. Y., & Alouini, M.-S. . (2017). Distributed Hybrid Scheduling in Multi-Cloud Networks using Conflict Graphs. GLOBECOM’ 2015. Presented at the. IEEE.
  • Douik, A. ., Dahrouj, H. ., Naffouri, T. Y. A., & Alouini, M.-S. . (2016). Hybrid Radio/Free-Space Optical Design for Next Generation Backhaul Systems.
  • Dahrouj, H. ., Douik, A. ., Rayal, F. ., Al-Naffouri, T. Y., & Alouini, M.-S. . (2015). Cost-effective hybrid RF/FSO backhaul solution for next generation wireless systems.