Tunable Group Key Agreement. - Rajesh Ingle; G. Sivakumar (LCN, 2007)

TGKAM: Adaptive Middleware Architecture for Secure Group Communication. - Rajesh Ingle; G. Sivakumar (ITNG, 2009)

EGSI: TGKA Based Security Architecture for Group Communication in Grid. - Rajesh Ingle; G. Sivakumar (CCGRID, 2010)

Privacy-preserving deletion to generalization-based anonymous database. - Dipalee Shah; Rajesh Ingle (CUBE, 2012)

Performance evaluation of unstructured NoSQL data over distributed framework. - Suyog S. Nyati; Shivanand Pawar; Rajesh Ingle (ICACCI, 2013)

Resource provisioning algorithms for service composition in Cyber Physical Systems. - Swati Nikam; Rajesh Ingle (ICACCI, 2014)

Scalable transactions in cloud data stores. - Swati Ahirrao; Rajesh Ingle (J. Cloud Comput., 2015)

Key Trees Combining Algorithm for Overlapping Resource Access Members. - Amar Buchade; Rajesh Ingle (Int. J. Netw. Secur., 2016)

Analysis of Algorithms for Overlapping Resource Access Members in Cloud Computing. - Amar Buchade; Rajesh Ingle (Int. J. Netw. Secur., 2016)

Energy-aware VM migration using dragonfly-crow optimization and support vector regression model in Cloud. - Nitin S. More; Rajesh B. Ingle (Int. J. Model. Simul. Sci. Comput., 2018)

Evidence Based Trust Estimation Model for Cloud Computing Services. - Shilpa Deshpande; Rajesh Ingle (Int. J. Netw. Secur., 2018)

Secure Mechanisms for Key Shares in Cloud Computing. - Amar Buchade; Rajesh Ingle (Int. J. Rough Sets Data Anal., 2018)

Are Coordinator Election Algorithms in Distributed Systems Vulnerable? - Shital S. Supase; Rajesh B. Ingle (ICCCNT, 2020)

Optimizing the Topology and Energy-Aware VM Migration in Cloud Computing. - Nitin S. More; Rajesh B. Ingle (Int. J. Ambient Comput. Intell., 2020)

Investigating Transfer Learning Capabilities of Vision Transformers and CNNs by Fine-Tuning a Single Trainable Block. - Durvesh Malpure; Onkar Litake; Rajesh Ingle (CoRR, 2021)

RuCIL: Enabling Privacy-Enhanced Edge Computing for Federated Learning. - Sahil Ashish Nimsarkar; Ruchir Raj Gupta; Rajesh Balliram Ingle (EDGE, 2023)

NayaN: A Multi-View Neural Network Approach to Detect Depression. - Sahil Ashish Nimsarkar; Rajesh B. Ingle (IICAIET, 2023)

Integrating IoT, Edge, and Cloud Computing for Early Prediction of Type 2 Diabetes: A Machine Learning-Driven Smart Healthcare Approach. - Tarun Kashyap; Dewashish Neware; Rajesh Ingle; Mayank Lovanshi; Santosh Kumar (ICCCNT, 2024)

Fusion of Temporal Transformer and Spatial Graph Convolutional Network for 3-D Skeleton-Parts-Based Human Motion Prediction. - Mayank Lovanshi; Vivek Tiwari; Rajesh Ingle; Swati Jain (IEEE Trans. Hum. Mach. Syst., 2024)

3D Skeleton-Based Non-Autoregressive Human Motion Prediction Using Encoder-Decoder Attention-Based Model. - Mayank Lovanshi; Vivek Tiwari; Rajesh Ingle; Swati Jain (IEEE Trans. Emerg. Top. Comput. Intell., 2025)