MS Degree, Computer, Electrical and Mathematical Sciences and Engineering , joined Harvard University as a PhD student.

Research Interests

  • Communication theory.
  • Cloud computing.
  • Optimization theory and applications.
  • Distributed algorithms.
  • Image coding.

Awards and Distinctions

  • Certificate of Distinction in Teaching, Harvard John A. Paulson School of Engineering and Applied Sciences, 2019
  • Certificate of Distinction in Teaching, Harvard John A. Paulson School of Engineering and Applied Sciences, 2019
  • Certificate of Distinction in Teaching, Harvard John A. Paulson School of Engineering and Applied Sciences, 2018
  • Graduate Fellowship, KAUST (King Abdullah University of Science and Technology), 2014

Qualifications

Education

Doctor of Philosophy (Ph.D.)
Electrical Engineering, Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), United States, 2022
Master of Mathematics (MMath)
Applied Mathematics, Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), United States, 2019
Master of Engineering (MEng)
Electrical Engineering, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2016
Bachelor of Engineering (B.Eng.)
Electrical and Computer Engineering, Tunisia Polytechnic School, Tunisia, 2014

Licenses and Certifications

  • Convolutional Neural Networks, Coursera, Tue, Jun 1 2021
  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization, Coursera, Tue, Jun 1 2021
  • Neural Networks and Deep Learning, Coursera, Sat, May 1 2021

Languages

Arabic
Native or bilingual proficiency
English
Full professional proficiency

Selected Publications

  • Dhifallah, O. ., & Lu, Y. M. (2021). On the Inherent Regularization Effects of Noise Injection During Training. International Conference on Machine Learning (ICML), 2665-2675, 2021. Presented at the. mlr.press.
  • Dhifallah, O. ., Thrampoulidis, C. ., & Lu, Y. M. (2018). Phase retrieval via linear programming: Fundamental limits and algorithmic improvements. 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton). Presented at the. Monticello, IL, USA: IEEE.
  • Dhifallah, O. ., Dahrouj, H. ., Dahrouj, H. ., & Alouini, M.-S. . (2018). Distributed Robust Power Minimization for the Downlink of Multi-Cloud Radio Access Networks.
  • Dhifallah, O. ., Dahrouj, H. ., Al-Naffouri, T. Y., & Alouini, M.-S. . (2016). Decentralized SINR Balancing in Cognitive Radio Networks.
  • Dahrouj, H. ., Douik, A. ., Dhifalla, O. ., Al-Naffouri, T. Y., & Alouini, M.-S. . (2015). Resource allocation in heterogeneous cloud radio access networks: advances and challenges.