On the use of Probabilistic Forecasting for Network Analysis in Open RAN. - Vaishnavi Kasuluru; Luis Blanco; Engin Zeydan (MeditCom, 2023)

Minimizing Power Consumption under SINR Constraints for Cell-Free Massive MIMO in O-RAN. - Vaishnavi Kasuluru; Luis Blanco; Miguel Ángel Vázquez; Cristian J. Vaca-Rubio; Engin Zeydan (CNSM, 2024)

Enhancing Cloud-Native Resource Allocation with Probabilistic Forecasting Techniques in O-RAN. - Vaishnavi Kasuluru; Luis Blanco; Engin Zeydan; Albert Bel; Angelos Antonopoulos 001 (EuCNC/6G Summit, 2024)

On the Impact of PRB Load Uncertainty Forecasting for Sustainable Open RAN. - Vaishnavi Kasuluru; Luis Blanco; Cristian J. Vaca-Rubio; Engin Zeydan (PIMRC, 2024)

Probabilistic Forecasting for Network Resource Analysis in Integrated Terrestrial and Non-Terrestrial Networks. - Cristian J. Vaca-Rubio; Vaishnavi Kasuluru; Engin Zeydan; Luis Blanco; Roberto Pereira 001; Màrius Caus; Kapal Dev (IEEE Commun. Stand. Mag., 2025)

Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks. - Kranthi Kumar Talluri; Galia Weidl; Vaishnavi Kasuluru (CoRR, 2025)

Enhancing Open RAN Operations: The Role of Probabilistic Forecasting in Network Analysis. - Vaishnavi Kasuluru; Luis Blanco; Engin Zeydan (IEEE Trans. Netw. Serv. Manag., 2025)