AI/ML Model Training in O-RAN: Assessing Datasets for Hoarding and Choosing Strategies. - Venkateswarlu Gudepu; Bhargav Chirumamilla; Venkatarami Reddy Chintapalli; Piero Castoldi; Luca Valcarenghi; Koteswararao Kondepu (ANTS, 2023)

Assessing Datasets for O-RAN RICs: Hoarding vs Choosing. - Eluri Harshitha; Venkateswarlu Gudepu; Bhargav Chirumamilla; Carlo Centifonti; Andrea Marotta; Koteswararao Kondepu (ANTS, 2024)

EARNEST: Experimental Analysis of RAN Energy with Open-Source Software Tools. - Venkateswarlu Gudepu; Bhargav Chirumamilla; Rajashekhar Reddy Tella; Abhishek Bhattacharyya; Shubh Agarwal; Lavanya Malakalapalli; Carlo Centofanti; José Santos 001; Koteswararao Kondepu (COMSNETS, 2024)

GAN-Based Drift and Anomaly Detection for Open Radio Access Networks. - Venkateswarlu Gudepu; Bhargav Chirumamilla; Venkatarami Reddy Chintapalli; Piero Castoldi; Luca Valcarenghi; Bheemarjuna Reddy Tamma; Deepak Kataria; Koteswararao Kondepu (HPSR, 2024)

Generative-AI for AI/ML Model Adaptive Retraining in Beyond 5G Networks. - Venkateswarlu Gudepu; Bhargav Chirumamilla; Venkatarami Reddy Chintapalli; Piero Castoldi; Luca Valcarenghi; Bheemarjuna Reddy Tamma; Koteswararao Kondepu (CoRR, 2024)

GEN-DRIFT: Generative AI-driven drift handling for beyond 5G networks. - Venkateswarlu Gudepu; Bhargav Chirumamilla; Venkatarami Reddy Chintapalli; Piero Castoldi; Luca Valcarenghi; Bheemarjuna Reddy Tamma; Koteswararao Kondepu (Comput. Networks, 2025)

Integrating Explainable AI for Energy Efficient Open Radio Access Networks. - Lavanya Malakalapalli; Venkateswarlu Gudepu; Bhargav Chirumamilla; S. J. Yadhunandan; Koteswararao Kondepu (CoRR, 2025)