Sara Al-Sayed is a Postdoctoral Research Associate in the Program on Science and Global Security (SGS) at Princeton University. She received her BSc degree from the German University in Cairo, Egypt, an MSc degree from Universität Ulm, Germany, and the PhD degree from Technische Universität Darmstadt, Germany – all in communications engineering, with the focus of her PhD dissertation being on statistical data processing. After an appointment as a postdoctoral research and teaching associate at Technische Universität Germany, she picked up an MA program in philosophy of technology at the same university.

Research Interests

 

The verification of states compliance with nuclear arms control, nonproliferation and disarmament treaty obligations has always posed technical and political challenges. A largely neglected avenue to address some of these challenges is societal verification, in which civil society organizations and individuals play a direct role in verifying treaty compliance by their own state. My research centers on how new and emerging information technologies and procedures can support data collection, analysis, and secure reporting to empower civil society and whistle-blowers with regard to nuclear arms control, non-proliferation, and disarmament verification, including the new Treaty on the Prohibition of Nuclear Weapons.

Publications

S. Al-Sayed and H. Koeppl, “Network reconstruction from time-course perturbation data using multivariate Gaussian processes,” in Proc. IEEE International Workshop on Machine Learning for Signal Processing, Aalborg, Denmark, September 2018.

S. Al-Sayed, J. Plata-Chaves, M. Muma, M. Moonen, and A. M. Zoubir, “Node-specific diffusion LMS-based distributed detection over adaptive networks,” IEEE Transactions on Signal Processing, 66 (3), February 2018.

S. Al-Sayed, A. M. Zoubir, and A. H. Sayed, “Robust distributed estimation by networked agents,” IEEE Transactions on Signal Processing, 65 (15), August 2017.

S. Al-Sayed, Robust adaptation and learning over networks, PhD dissertation, Technische Universität Darmstadt, Darmstadt, Germany, 2016.

S. Al-Sayed, A. M. Zoubir, and A. H. Sayed, “Robust adaptation in impulsive noise,” IEEE Transactions on Signal Processing, 64 (11), June 2016.

M. R. Balthasar, S. Al-Sayed, S. Leier, and A. M. Zoubir, “Optimal area coverage in autonomous sensor networks,” in Proc. International Conference on Underwater Acoustics, Rhodes, Greece, June 2014.

S. Al-Sayed, A. M. Zoubir, and A. H. Sayed, “Robust distributed detection over adaptive diffusion networks,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, May 2014.

S. Al-Sayed, A. M. Zoubir, “An optimal error nonlinearity for robust adaptation against impulsive noise,” in Proc. IEEE International Workshop on Signal Processing Advances in Wireless Communications, Darmstadt, Germany, June 2013.

S. Al-Sayed and A. Sezgin, “Secrecy in Gaussian MIMO bidirectional broadcast wiretap channels: Transmit strategies,” in Proc. Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, USA, November 2010.