معرفی
Dana Dachman-Soled is an Affiliate Associate Professor in the Department of Computer Science at the University of Maryland, with a joint appointment in the Department of Electrical and Computer Engineering. Her research focuses on cryptography, algorithmic fairness, and theoretical computer science, with applications to post-quantum security, privacy-preserving algorithms, and secure multiparty computation. She has advised at least one PhD student, Yvonne Zhou.
Her work combines foundational cryptographic theory with practical implementations, addressing challenges such as tamper-resistant data encoding, fair machine learning, and secure communication protocols. In 2023, she received a $1M NSF award for research on post-quantum cryptography. She has contributed to advancements in non-malleable codes, leakage-resilient cryptography, and the security of lattice-based schemes like LWE and NTRU.
Her research also explores ethical AI, including fairness in data classification and privacy-preserving synthetic data. She has published extensively in top venues like ITC, CRYPTO, and IEEE conferences, with a focus on cryptographic primitives, side-channel vulnerabilities, and algorithmic bias mitigation.
Dr. Dachman-Soled collaborates widely, with grants supporting her work on non-malleable codes and the theoretical foundations of secure computation. Her lab engages in interdisciplinary projects at the intersection of computer science, mathematics, and cybersecurity.
