Mariam Gado

• Quantum computing
• Cryptography
• Artificial Intelligence
• Networks
• Algorithms
• Algorithms in bioinformatics

• Quantum cryptography
• Quantum circuit optimization
• Quantum machine learning

• DSU IBM Qiskit Fall Fest 2026 Lead
• Egyptian Syndicate of Scientific Professions, 2016
• First place in NASA's space apps Cairo challenge, 2015

• CNM Quantum Faculty Immerse 2026
• IBM Road to Practitioner (Advanced Qiskit) 2026
• IBM Qiskit Quantum Summer School 2026
• Quantum Summer School, Oak Ridge Laboratory, 2024
• Leadership training, Tennessee Technological University, 2023

• DSU FRI grant 2026-2027 faculty recipient.
• DSU GRI grant 2026-2027 mentor for three graduate students.
• DSU SRI grant 2025-2026 mentor for undergraduate students.
• Science Up research grant, Academy of Scientific Research and Technology (ASRT)

Journal Articles

• [J1] M. Gado and M. Ismail, “Enabling Power Systems with SQKD in Presence of Remote Nodes,” IEEE Access, July 2025, doi: 10.1109/ACCESS.2025.3583870.
• [J2] M. Gado and A. Younes, “Optimization of Reversible Circuits Using Toffoli Decompositions with Negative Controls,” Symmetry, vol. 13, no. 6, p. 1025, 2021, doi: 10.3390/sym13061025.

• [C1] M. Gado and M. Ismail, “Multi-Year Power Upgrades to Support SQKD with Heterogeneous Quantum Servers in a Pre-Existing Cyber Layer Under Rising Key Rate Demands,” 2026 IEEE International Conference on Quantum Computing and Engineering (QCE), Toronto, Canada, 2026.
• [C2] M. Gado and M. Ismail, “Multi-Year Upgrade of Pre-Existing Power System to Support SQKD for Increasing Key Rates,” 2026 IEEE 2nd International Conference on Secure IoT, Assured and Trusted Computing (SATC), Houston, TX, USA, 2026, pp. 1–7.
• [C3] M. Gado and M. Ismail, “Joint Server, Source Rate, and Link Allocation Strategy for Semi-QKD in Power Systems,” 2024 IEEE Military Communications Conference (MILCOM), Washington, DC, USA, 2024, pp. 975–980, doi: 10.1109/MILCOM61039.2024.10774001.
• [C4] M. Gado and M. Ismail, “Cyber Layer Upgrade in Power Systems to Support Semi-Quantum Key Distribution,” 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), Montreal, QC, Canada, 2024, pp. 1847–1856, doi: 10.1109/QCE60285.2024.00214.
• [C5] M. Gado, M. Ismail, and W. O. Krawec, “Upgrading the Cyber Layer of Power Systems to Support Semi-Quantum Key Distribution,” 2024 IEEE PES Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA, 2024, pp. 1–5, doi: 10.1109/ISGT59692.2024.10454162.

Posters

• [P1] T. Kwarteng, G. Dushime, and M. Gado, “Comparing Classical and Quantum Machine Learning for Cyberattack Detection in Smart Grids,” Dakota State University Annual Research Symposium, 2026.
• Beadle Scholar, 89. Second place, poster session. scholar.dsu.edu/research-symposium/89