Prediction of Cotton Field on Integrated Environmental Data. - Sarthak Mishra; Long Ma; Nischal Aryal (ICAART (2), 2021)

Distributed Ledger Technologies for Cellular Networks and Beyond 5G: a survey. - Meroua Moussaoui; Nischal Aryal; Emmanuel Bertin; Noël Crespi (BRAINS, 2022)

Private Cellular Network Deployment: Comparison of OpenAirInterface with Magma Core. - Nischal Aryal; Fariba Ghaffari; Saeid Rezaei; Emmanuel Bertin; Noël Crespi (CNSM, 2022)

Moving Towards Open Radio Access Networks with Blockchain Technologies. - Nischal Aryal; Fariba Ghaffari; Emmanuel Bertin; Noël Crespi (BRAINS, 2023)

Subscription Management for Beyond 5G and 6G Cellular Networks Using Blockchain Technology. - Nischal Aryal; Fariba Ghaffari; Emmanuel Bertin; Noël Crespi (CNSM, 2023)

Open Radio Access Network challenges for Next Generation Mobile Network. - Nischal Aryal; Emmanuel Bertin; Noël Crespi (ICIN, 2023)

How Does User Behavior Evolve During Exploratory Visual Analysis? - Sanad Saha; Nischal Aryal; Leilani Battle; Arash Termehchy (CoRR, 2023)

Widening Blockchain Technology toward Access Control for Service Provisioning in Cellular Networks. - Fariba Ghaffari; Nischal Aryal; Emmanuel Bertin; Noël Crespi; Joaquín García-Alfaro (Sensors, 2023)

Web3-Powered Service Provisioning in Cellular Networks using NFT and Self-Sovereign Identity. - Nischal Aryal; Fariba Ghaffari; Emmanuel Bertin; Noël Crespi (BRAINS, 2024)

Integrating Blockchain for Enhanced Subscription Management in B5G and 6G Networks. - Nischal Aryal; Fariba Ghaffari; Emmanuel Bertin; Noël Crespi (BRAINS, 2024)

User Learning In Interactive Data Exploration. - Sanad Saha; Nischal Aryal; Leilani Battle; Arash Termehchy (ICDE, 2024)

A Blockchain-based approach for Service Level Agreement Management in Cellular Network. - Nischal Aryal; Fariba Ghaffari; Emmanuel Bertin; Noël Crespi (NoF, 2024)

ShiftScope: Adapting Visualization Recommendations to Users' Dynamic Data Focus. - Sanad Saha; Nischal Aryal; Leilani Battle; Arash Termehchy (SIGMOD Conference Companion, 2024)

Certain and Approximately Certain Models for Statistical Learning. - Cheng Zhen; Nischal Aryal; Arash Termehchy; Alireza Aghasi; Amandeep Singh Chabada (CoRR, 2024)

Certain and Approximately Certain Models for Statistical Learning. - Cheng Zhen; Nischal Aryal; Arash Termehchy; Amandeep Singh Chabada (Proc. ACM Manag. Data, 2024)

Analyzing the Shifts in Users Data Focus in Exploratory Visual Analysis. - Sanad Saha; Nischal Aryal; Leilani Battle; Arash Termehchy (IUI, 2025)

Learning Accurate Models on Incomplete Data with Minimal Imputation. - Cheng Zhen; Nischal Aryal; Arash Termehchy; Prayoga; Garrett Biwer; Sankalp Patil (CoRR, 2025)