Alvaro Cintas-Canto

Alvaro Cintas-Canto (no photo)

Assistant Professor

Academic Credentials

B.Sc., M.Sc., Tennessee Tech University, Computer and Electrical Engineering. Ph.D., University of South Florida, Computer Science and Engineering

Bio

Dr. Cintas Canto is a computer engineer Assistant Professor at Marymount University. He received the Ph.D. degree at the University of South Florida (USF) with the Department of Computer Science and Engineering, FL, in 2021. During his years at USF, he performed research on error detection of post-quantum cryptographic schemes at the Cryptographic Engineering and Hardware Security Research lab. Moreover, he received the M.Sc. and B.Sc. degree in Computer and Electrical Engineering from Tennessee Tech University, TN, in 2018 and 2016, respectively. He presents and publishes peer-reviewed research in hardware security, post-quantum cryptography, cryptographic engineering, and high-performance embedded systems design.

Teaching Areas

Cybersecurity, Cryptography, Security Engineering, Data Science

Research Interests

Cryptographic Engineering, Emerging Security/Privacy Measures for Deeply Embedded Systems, Fault Diagnosis and Tolerance in Cryptographic Systems, Post-Quantum Cryptography, and Reliability in FPGA and ASIC Designs.

Publications

[1] A. Cintas-Canto, M. Mozaffari-Kermani, and R. Azarderakhsh, “CRC-based error detection constructions for FLT and ITA finite field inversions over GF(2^m),” IEEE Trans. on Very Large Scale Integrated (VLSI) Systems, vol. 29, no. 5, pp. 1033-1037, May 2021. [2]. A. Cintas-Canto, M. Mozaffari Kermani, and R. Azarderakhsh, “Reliable architectures for composite-field-oriented constructions of McEliece post-quantum cryptography on FPGA,” IEEE Trans. on Computer-Aided Design Integrated Circuits Systems, vol. 40, no. 5, pp. 999-1003, May 2021. [3]. A. Cintas-Canto, M. Mozaffari Kermani, and R. Azarderakhsh, “Reliable CRC-based error detection constructions for finite field multipliers with applications in cryptography,” IEEE Trans. on Very Large Scale Integrated (VLSI) Systems, vol. 29, no. 1, pp. 232-236, Jan. 2021.

Contact

Email: acintas@marymount.edu