Personal profile
Research interests
Dr. Prodanoff specializes in performance evaluation of classical and quantum computing. She investigates topics at the intersection of theoretical and experimental approaches to inquiry that advance computational performance across diverse domains. Her work has been cited by scientists from the National Institute for Research in Computer Science and Control (INRIA) (France), Institute of Computing Technology of The Chinese Academy of Sciences (China), Harvard University (USA), Stanford University (USA), Universit`a di Torino (Italy), Arizona State University (USA), University of Jyväskylä (Finland), Victoria University of Wellington (New Zealand), University of California, Santa Barbara (USA), University of Mannheim (Germany), National Taiwan University (Taiwan), California State University (USA), IBM Research Laboratory (Switzerland), and other institutions worldwide.
Related documents
Education/Academic qualification
Computer Science and Engineering, PhD
… → Sep 2003
Computer Science, MS, University of South Florida, Tampa
… → May 2001
Information Systems Management, BA, University of South Florida, Tampa
… → Aug 1998
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Entropy Guarantees for Quantum Boolean Functions
Prodanoff, Z. & Wisnosky, D., 2026, Unconventional Computation and Natural Computation - 22nd International Conference, UCNC 2025, Proceedings. Formenti, E. & Manzoni, L. (eds.). p. 47-62 16 p. (Lecture Notes in Computer Science; vol. 16364 LNCS).Research output: Chapter or Contribution to Book › Literary contribution
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Investigating particle swarm optimization and various mobility algorithms for autonomous navigation in flying ad-hoc networks
Paredes, W. D., Kaushal, H., Prodanoff, Z. & Vakilinia, I., Mar 2025, In: Natural Computing. 24, 1, p. 95-112 18 p., 1.Research output: Contribution to journal › Article › peer-review
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On the Entanglement and Mixedness of Quantum Boolean Function Circuits
Prodanoff, Z., Kulbaka, I. & Interlichia, N., 2025, Machines, Computations, and Universality - 10th International Conference, MCU 2024, Revised Selected Papers. Formenti, E. & Durand-Lose, J. (eds.). p. 130-152 23 p. (Lecture Notes in Computer Science; vol. 15270 LNCS).Research output: Chapter or Contribution to Book › Literary contribution
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Predictive Optimization of Patient No-Show Management in Primary Healthcare Using Machine Learning
Leiva-Araos, A., Contreras, C., Kaushal, H. & Prodanoff, Z., Jan 14 2025, In: Journal of Medical Systems. 49, 1, p. 7 1 p., 1.Research output: Contribution to journal › Article › peer-review
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Crowdsensing the Speed Violation Detection with Privacy Preservation
Mullapudi, S. V., Vakilinia, I., Prodanoff, Z. G. & Jin, W., 2024, 2024 IEEE 100th Vehicular Technology Conference, VTC 2024-Fall - Proceedings. p. 1-6 6 p. (IEEE Vehicular Technology Conference).Research output: Chapter or Contribution to Book › Literary contribution