NEWS

Srushti Gangadhar Surpur is a Doctoral Candidate at the ISI/ATHENA Research Center, Greece, within the 6G-TERRAIN Marie Skłodowska-Curie Doctoral Network (MSCA-DN). Her PhD topic, “Native AI analytics approaches in telecommunication networks,” focuses on designing intelligent, energy-aware, and distributed analytics mechanisms for 6G systems. Her research aims to enable AI-native network intelligence capable of semantic feature extraction and interpretation, adaptive model placement across heterogeneous nodes, and decision-making frameworks optimized for resource-constrained environments. Her work spans federated and distributed learning, multi-agent analytics, semantic compression, and hybrid statistical ML approaches for autonomous 6G operations, with planned integration and validation through emerging 6G architectures, virtualization frameworks, and testbeds within the 6G-TERRAIN consortium. Before joining 6G-TERRAIN, she completed an MSc in Computer Science – Data Science at Trinity College Dublin, where her dissertation, “Aqua-DiNet,” introduced a transformer-based dual-path attention network for underwater image restoration, achieving higher PSNR and SSIM than state-of-the-art models on real-world degraded datasets. She holds a Bachelor’s degree in Computer Engineering, secured 1st rank in the Computer Science department at VPKBIET with a CGPA of 9.36/10, and qualified the Graduate Aptitude Test in Engineering (GATE), India, twice. She also has experience working on RAG-based LLM projects and applied multimodal ML tasks. Her research interests include AI-native 6G architectures, semantic analytics, federated learning, edge intelligence, and multimodal deep learning.