I am interested in **Privacy and Security**, with applications predominantly in Control Theory. My main research involves designing privacy-preserving control and optimization algorithms that make use of Homomorphic Encryption schemes and Secure Multi-party Computation schemes. The idea behind these concepts is to perform computations directly on encrypted data, such that leakage of private information is minimized. Some of the other projects I am working on in this area involve motion planning with secrecy guarantees and evaluating the cost of security measures on the performance of control systems.

Previously, I worked on **Decentralized Estimation** for limited communication between sensors, exploiting graph theory and structural systems theory and investigated **network sparsification** based on controllability and observability measures.

- Tsiamis A.,
**Alexandru A. B.**and Pappas G. J.,*Motion Planning with Secrecy*, submitted to American Control Conference (ACC), 2019, IEEE. -
**Alexandru A. B.**, Gatsis K., Shoukry Y., Seshia S. A., Tabuada P. and Pappas, G. J.,*Cloud-based Quadratic Optimization with Partially Homomorphic Encryption*, submitted to IEEE Transactions on Automatic Control, 2018. -
**Alexandru A. B.**and Pappas G. J.,*Encrypted LQG using Labeled Homomorphic Encryption*, to appear in Proceedings of 10th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), 2019. -
**Alexandru A. B.**, Morari M. and Pappas G. J.,*Cloud-based MPC with Encrypted Data*, in Proceedings of the 57th Conference on Decision and Control (CDC), pp. 5014-5019 2018, IEEE. -
**Alexandru A.B.**, Pequito S., Jadbabaie A. and Pappas G.J., 2017,*On the Limited Communication Analysis and Design for Decentralized Estimation*in Proceedings of the 56th Conference on Decision and Control (CDC), pp. 1713-1718, IEEE. -
**Alexandru A.B.**, Gatsis K. and Pappas G.J., 2017,*Privacy preserving Cloud-based Quadratic Optimization*in Proceedings of the 55th Annual Allerton Conference on Communication, Control, and Computing, pp. 1168-1175, IEEE. -
**Alexandru A.B.**, Pequito S., Jadbabaie A. and Pappas G.J., 2016,*Decentralized observability with limited communication between sensors*in Proceedings of the 55th Conference on Decision and Control (CDC), pp. 885-890, IEEE. -
**Alexandru A.B.**,*An analysis of performance measures for prediction algorithms in telemonitoring systems*, B.E. Thesis, 2015. -
**Alexandru A.B.**, Lup, S., Dita B., 2013,*GDS2M: Preprocessing Tool for MEMS Devices*in Proceedings of the 8th International Symposium on Advanced Topics in Electrical Engineering (ATEE), pp. 1-4, IEEE.

- Privacy Preserving Cloud-based Quadratic Optimization, ESE Department PhD Colloquium, Oct. 2017, University of Pennsylvania
- Secure Cloud-outsourced Optimization Problems through Homomorphic Encryption, Aug. 2017, Intel-NSF Center on Cyber Physical System Security

- Privacy preserving Cloud-based Quadratic Optimization, Mar. 2018, 5th Annual Women in Cybersecurity Conference