Additional Campus Affiliations
Professor, Industrial and Enterprise Systems Engineering
Professor, Information Trust Institute
Professor, Mechanical Science and Engineering
Professor, Coordinated Science Lab
Arthur Davis Faculty Scholar, Industrial and Enterprise Systems Engineering
Recent Publications
Mamalis, T., Stipanovic, D., & Voulgaris, P. G. (2023). Stochastic Learning Rate With Memory: Optimization in the Stochastic Approximation and Online Learning Settings. IEEE Control Systems Letters, 7, 419-424. https://doi.org/10.1109/LCSYS.2022.3186896
Micev, M., Ćalasan, M., Stipanović, D., & Radulović, M. (2023). Modeling the relation between the AVR setpoint and the terminal voltage of the generator using artificial neural networks. Engineering Applications of Artificial Intelligence, 120, [105852]. https://doi.org/10.1016/j.engappai.2023.105852
Amrouche, M., & Stipanovic, D. M. (Accepted/In press). A Formal Characterization of Activation Functions in Deep Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, 1-14. https://doi.org/10.1109/TNNLS.2022.3187538
Deka, S. A., Stipanovic, D. M., & Tomlin, C. J. (2022). Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks. IEEE Transactions on Control Systems Technology, 30(6), 2615-2629. https://doi.org/10.1109/TCST.2022.3165980
Mamalis, T., Stipanovic, D., & Voulgaris, P. G. (2022). Stochastic Learning Rate Optimization in the Stochastic Approximation and Online Learning Settings. In 2022 American Control Conference, ACC 2022 (pp. 4286-4291). (Proceedings of the American Control Conference; Vol. 2022-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ACC53348.2022.9867565