A multi-tier cooperative resource partitioning technique for interference mitigation in heterogeneous cellular networks. - Rajkarn Singh; Sudeepta Mishra; C. Siva Ram Murthy (WiOpt, 2014)

A learning based mobile user traffic characterization for efficient resource management in cellular networks. - Rajkarn Singh; Manikantan Srinivasan; C. Siva Ram Murthy (CCNC, 2015)

An energy efficient framework for user association and power allocation in HetNets with interference and rate-loss constraints. - Rahul Thakur; Rajkarn Singh; C. Siva Ram Murthy (Comput. Commun., 2016)

On Choosing Between Privacy Preservation Mechanisms for Mobile Trajectory Data Sharing. - Rajkarn Singh; George Theodorakopoulos 001; Mahesh K. Marina; Myrto Arapinis (CNS, 2018)

Techniques for Interference Mitigation Using Cooperative Resource Partitioning in Multitier LTE HetNets. - Rajkarn Singh; C. Siva Ram Murthy (IEEE Syst. J., 2018)

Urban Vibes and Rural Charms: Analysis of Geographic Diversity in Mobile Service Usage at National Scale. - Rajkarn Singh; Marco Fiore 001; Mahesh K. Marina; Alberto Tarable; Alessandro Nordio (WWW, 2019)

UbiComp/ISWC 2019: A Post-Conference Summary Report. - Young D. Kwon; Rajkarn Singh; Sarah Clinch; Mohammed Khwaja; Neille-Ann H. Tan; Marla Narazani; Mikolaj P. Wozniak; Arshad Nasser; Rahul Majethia; Lucy Van Kleunen; Victoria Neumann (IEEE Pervasive Comput., 2019)

SpectraGAN: spectrum based generation of city scale spatiotemporal mobile network traffic data. - Kai Xu 014; Rajkarn Singh; Marco Fiore 001; Mahesh K. Marina; Hakan Bilen; Muhammad Usama; Howard Benn; Cezary Ziemlicki (CoNEXT, 2021)

Energy-Efficient Orchestration of Metro-Scale 5G Radio Access Networks. - Rajkarn Singh; Cengis Hasan; Xenofon Foukas; Marco Fiore 001; Mahesh K. Marina; Yue Wang 008 (INFOCOM, 2021)

CartaGenie: Context-Driven Synthesis of City-Scale Mobile Network Traffic Snapshots. - Kai Xu 014; Rajkarn Singh; Hakan Bilen; Marco Fiore 001; Mahesh K. Marina; Yue Wang 008 (PerCom, 2022)

How Does It Function?: Characterizing Long-term Trends in Production Serverless Workloads. - Artjom Joosen; Ahmed Hassan; Martin Asenov; Rajkarn Singh; Luke Nicholas Darlow; Jianfeng Wang; Adam Barker (SoCC, 2023)

DAM: Towards a Foundation Model for Forecasting. - Luke Nicholas Darlow; Qiwen Deng; Ahmed Hassan; Martin Asenov; Rajkarn Singh; Artjom Joosen; Adam Barker; Amos J. Storkey (ICLR, 2024)

DAM: Towards A Foundation Model for Time Series Forecasting. - Luke Nicholas Darlow; Qiwen Deng; Ahmed Hassan; Martin Asenov; Rajkarn Singh; Artjom Joosen; Adam Barker; Amos J. Storkey (CoRR, 2024)

Serverless Cold Starts and Where to Find Them. - Artjom Joosen; Ahmed Hassan; Martin Asenov; Rajkarn Singh; Luke Nicholas Darlow; Jianfeng Wang; Qiwen Deng; Adam Barker (EuroSys, 2025)

Lightweight Online Adaption for Time Series Foundation Model Forecasts. - Thomas L. Lee; William Toner; Rajkarn Singh; Artjom Joosem; Martin Asenov (CoRR, 2025)

Performance of Zero-Shot Time Series Foundation Models on Cloud Data. - William Toner; Thomas L. Lee; Artjom Joosen; Rajkarn Singh; Martin Asenov (CoRR, 2025)