Towards Modular Modeling and Analytic for Multi-Modal Transportation Networks. - Ramyar Saeedi; Malarvizhi Sankaranarayanasamy; Rahul Vishwakarma; Prasun Singh; Ravigopal Vennelakanti (IEEE BigData, 2020)

CNN Model & Tuning for Global Road Damage Detection. - Rahul Vishwakarma; Ravigopal Vennelakanti (IEEE BigData, 2020)

Hunting Group Clues with Transformers for Social Group Activity Recognition. - Masato Tamura; Rahul Vishwakarma; Ravigopal Vennelakanti (ECCV (4), 2022)

Selective scrubbing based on algorithmic randomness. - Rahul Vishwakarma; Bing Liu; Peter Gatsby; Jinha Hwang (SYSTOR, 2022)

IndoorGNN: A Graph Neural Network Based Approach for Indoor Localization Using WiFi RSSI. - Rahul Vishwakarma; Rucha Bhalchandra Joshi; Subhankar Mishra (BDA, 2023)

Variable Sparing of Disk Drives Based on Failure Analysis. - Rahul Vishwakarma; Mahshid Fardadi; Bing Liu (COPA, 2023)

Enterprise Disk Drive Scrubbing Based on Mondrian Conformal Predictors. - Rahul Vishwakarma; Jinha Hwang; Soundouss Messoudi; Ava Hedayatipour (COPA, 2023)

Risk-Aware and Explainable Framework for Ensuring Guaranteed Coverage in Evolving Hardware Trojan Detection. - Rahul Vishwakarma; Amin Rezaei 001 (ICCAD, 2023)

Attacks on Continuous Chaos Communication and Remedies for Resource Limited Devices. - Rahul Vishwakarma; Ravi Monani; Amin Rezaei 001; Hossein Sayadi; Mehrdad Aliasgari; Ava Hedayatipour (ISQED, 2023)

Machine Learning in Chaos-Based Encryption: Theory, Implementations, and Applications. - Jinha Hwang; Gauri Kale; Persis Premkumar Patel; Rahul Vishwakarma; Mehrdad Aliasgari; Ava Hedayatipour; Amin Rezaei 001; Hossein Sayadi (IEEE Access, 2023)

Enhancing Neural Theorem Proving through Data Augmentation and Dynamic Sampling Method. - Rahul Vishwakarma; Subhankar Mishra (CoRR, 2023)

Reliable and secure memristor-based chaotic communication against eavesdroppers and untrusted foundries. - Rahul Vishwakarma; Ravi Monani; Ava Hedayatipour; Amin Rezaei 001 (Discov. Internet Things, 2023)

Exploring The Capabilities of Single-Stage Instance Segmentation Models for Building Extraction. - Masato Tamura; Pierre Huyn; Rahul Vishwakarma (IEEE Big Data, 2024)

Exploring Real-Time Model Augmentation and Pretraining for Optimized Road Damage Detection. - Rahul Vishwakarma (IEEE Big Data, 2024)

Uncertainty-Aware Hardware Trojan Detection Using Multimodal Deep Learning. - Rahul Vishwakarma; Amin Rezaei 001 (DATE, 2024)

SpeechCraft: An Integrated Data Generation Pipeline from Videos for LLM Finetuning. - Jyothi Swaroop Arlagadda Narasimharaju; Venkata Sai Mahesh Vuppalapati; Shrey Dharmendra Modi; Rahul Vishwakarma; Heer Shah (ICAC, 2024)

Statistical Guarantees in Synthetic Data through Conformal Adversarial Generation. - Rahul Vishwakarma; Shrey Dharmendra Modi; Vishwanath Seshagiri (CoRR, 2025)

Billions at Stake: How Self-Citation Adjusted Metrics Can Transform Equitable Research Funding. - Rahul Vishwakarma (CoRR, 2025)

Cognitive Weave: Synthesizing Abstracted Knowledge with a Spatio-Temporal Resonance Graph. - Akash Vishwakarma; Hojin Lee; Mohith Suresh; Priyam Shankar Sharma; Rahul Vishwakarma; Sparsh Gupta; Yuvraj Anupam Chauhan (CoRR, 2025)