Optimization of Rocker-Bogie Mechanism using Heuristic Approaches. - Harsh Senjaliya; Pranshav Gajjar; Brijan Vaghasiya; Pooja Shah; Paresh Gujarati (CoRR, 2022)

Quadruplet loss and SqueezeNets for Covid-19 detection from Chest-X ray. - Pranshav Gajjar; Naishadh Mehta; Pooja Shah (Comput. Sci. J. Moldova, 2022)

Enhancing Parkinson's Disease Diagnosis through Deep Learning-Based Classification of 3D MRI Images. - Shivani Desai; Hitesh Chhinkaniwala; Smit Shah 001; Pranshav Gajjar (ICMLDE, 2023)

Conditional Generative Adversarial Networks for SAR-based Ocean Feature Monitoring. - Pranshav Gajjar; Naishadh Mehta; Malay Patel; Pooja Shah; Anup Das 003 (ICMLDE, 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)

Preserving Data Privacy for ML-driven Applications in Open Radio Access Networks. - Pranshav Gajjar; Azuka J. Chiejina; Vijay K. Shah (DySPAN, 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)

ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks. - Pranshav Gajjar; Vijay K. Shah (CCNC, 2025)

AI5GTest: AI-Driven Specification-Aware Automated Testing and Validation of 5G O-RAN Components. - Abiodun Ganiyu; Pranshav Gajjar; Vijay K. Shah (WISEC, 2025)

DEMO: AI5GTest: LLM based Automation for 5G O-RAN Testing. - Abiodun Ganiyu; Pranshav Gajjar; Vijay K. Shah (WISEC, 2025)

ORANSight-2.0: Foundational LLMs for O-RAN. - Pranshav Gajjar; Vijay K. Shah (CoRR, 2025)