Pranshav Gajjar

According to our database, Pranshav Gajjar authored at least 18 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Advanced AI Service Provisioning in O-RAN through LLM Engine Integration.

Seyed Bagher Hashemi Natanzi, Pranshav Gajjar, Bo Tang, Vijay K. Shah

CoRR, May, 2026

Agents Should Replace Narrow Predictive AI as the Orchestrator in 6G AI-RAN.

Pranshav Gajjar, Vijay K. Shah

CoRR, May, 2026

TeleResilienceBench: Quantifying Resilience for LLM Reasoning in Telecommunications.

Pranshav Gajjar, Emmanuel Ojo, Vijay K. Shah

CoRR, May, 2026

TeleEmbedBench: A Multi-Corpus Embedding Benchmark for RAG in Telecommunications.

Pranshav Gajjar, Vijay K. Shah

CoRR, April, 2026

LLM-AUG: Robust Wireless Data Augmentation with In-Context Learning in Large Language Models.

Pranshav Gajjar, Manan Tiwari, Sayanta Seth, Vijay K. Shah

CoRR, April, 2026

Enhancing Confidence Estimation in Telco LLMs via Twin-Pass CoT-Ensembling.

Anton Saenko, Pranshav Gajjar, Abiodun Ganiyu, Vijay K. Shah

CoRR, April, 2026

2025

ORANSight-2.0: Foundational LLMs for O-RAN.

Pranshav Gajjar, Vijay K. Shah

CoRR, March, 2025

Black-Box Evasion Attacks on Data-Driven Open RAN Apps: Tailored Design and Experimental Evaluation.

Pranshav Gajjar, Molham Khoja, Abiodun Ganiyu, Marc Juarez, Mahesh K. Marina, Andrew Lehane, Vijay K. Shah

Proc. ACM Netw., 2025

DEMO: AI5GTest: LLM based Automation for 5G O-RAN Testing.

Abiodun Ganiyu, Pranshav Gajjar, Vijay K. Shah

Proceedings of the 18th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2025

AI5GTest: AI-Driven Specification-Aware Automated Testing and Validation of 5G O-RAN Components.

Abiodun Ganiyu, Pranshav Gajjar, Vijay K. Shah

Proceedings of the 18th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2025

ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks.

Pranshav Gajjar, Vijay K. Shah

Proceedings of the 22nd IEEE Consumer Communications & Networking Conference, 2025

2024

An Empirical Analysis of Diffusion, Autoencoders, and Adversarial Deep Learning Models for Predicting Dementia Using High-Fidelity MRI.

Pranshav Gajjar, Manav Garg, Shivani Desai, Hitesh Chhinkaniwala, Harshal A. Sanghvi, Riki H. Patel, Shailesh Gupta, Abhijit S. Pandya

IEEE Access, 2024

Preserving Data Privacy for ML-driven Applications in Open Radio Access Networks.

Pranshav Gajjar, Azuka J. Chiejina, Vijay K. Shah

Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2024

2023

Comparative Analysis of Deep Learning Architectures and Vision Transformers for Musical Key Estimation.

Manav Garg, Pranshav Gajjar, Pooja Shah, Madhu Shukla, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos

Inf., 2023

Conditional Generative Adversarial Networks for SAR-based Ocean Feature Monitoring.

Pranshav Gajjar, Naishadh Mehta, Malay Patel, Pooja Shah, Anup Das

Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

Enhancing Parkinson's Disease Diagnosis through Deep Learning-Based Classification of 3D MRI Images.

Shivani Desai, Hitesh Chhinkaniwala, Smit Shah, Pranshav Gajjar

Proceedings of the International Conference on Machine Learning and Data Engineering, 2023

2022

Quadruplet loss and SqueezeNets for Covid-19 detection from Chest-X ray.

Pranshav Gajjar, Naishadh Mehta, Pooja Shah

Comput. Sci. J. Moldova, 2022

Optimization of Rocker-Bogie Mechanism using Heuristic Approaches.

Harsh Senjaliya, Pranshav Gajjar, Brijan Vaghasiya, Pooja Shah, Paresh Gujarati

CoRR, 2022