Geospatial Serverless Computing: Architectures, Tools and Future Directions. - Sujit Bebortta; Saneev Kumar Das; Meenakshi Kandpal; Rabindra Kumar Barik; Harishchandra Dubey (ISPRS Int. J. Geo Inf., 2020)

Leveraging towards dynamic allocations of mist nodes for IoT-Mist-Fog-Cloud system using M/Er/1 queueing model. - Satyaban Behera; Meenakshi Kandpal; Veena Goswami; Nachiketa Tarasia; Ganga Bishnu Mund; Rabindra Kumar Barik (OCIT, 2023)

Towards Data Storage, Scalability, and Availability in Blockchain Systems: A Bibliometric Analysis. - Meenakshi Kandpal; Veena Goswami; Rojalina Priyadarshini; Rabindra Kumar Barik (Data, 2023)

Dynamic Allocations of Dew Nodes for IoST-Dew-Fog-Cloud System Using a Single-Server Queueing Model with Dropping Function. - Ayashkant Mishra; Veena Goswami; Meenakshi Kandpal; Rojalina Priyadarshini; Ganga Bishnu Mund; Rabindra Kumar Barik (OCIT, 2024)

Trade-Offs Among Block Size and Queuing Approach in Blockchain Environment. - Supriya Panigrahy; Meenakshi Kandpal; Pranati Mishra; Jyotirmayee Rautaray; Tapas Kumar Choudhury (OCIT, 2024)

Mitigating adversarial manipulation in LLMs: a prompt-based approach to counter Jailbreak attacks (Prompt-G). - Bhagyajit Pingua; Deepak Murmu; Meenakshi Kandpal; Jyotirmayee Rautaray; Pranati Mishra; Rabindra Kumar Barik; Manob Jyoti Saikia (PeerJ Comput. Sci., 2024)

Modelling of blockchain based queuing theory implementing preemptive and non-preemptive algorithms. - Meenakshi Kandpal; Niharika Keshari; Amrendra Singh Yadav; Mohit Yadav; Rabindra Kumar Barik (Int. J. Syst. Assur. Eng. Manag., 2024)

BS-GeoEduNet 1.0: Blockchain-Assisted Serverless Framework for Geospatial Educational Information Networks. - Meenakshi Kandpal; Veena Goswami; Yash Pritwani; Rabindra K. Barik; Manob Jyoti Saikia (ISPRS Int. J. Geo Inf., 2024)

Next-generation approach to skin disorder prediction employing hybrid deep transfer learning. - Yonis Gulzar; Shivani Agarwal 007; Saira Soomro; Meenakshi Kandpal; Sherzod Turaev; Wou Onn Choo; Shilpa Saini; Abdenour Bounsiar (Frontiers Big Data, 2025)