R. P. S. Hada

Skills

From kernel-level scheduling through radio hardware to distributed learning.

17Research & development projects
6Publications & preprints
196Hours of mentorship
3Academic fellowships
  • Languages & tools

    C / C++PythonJavaMATLABBashGitLaTeX

  • Systems

    Linux kernel scheduler (CFS)ARM big.LITTLEEmbedded LinuxContiki OS / CoojaAsymmetric multicore

  • Sensor networks

    GPS-free node localisationRSSI signal processingLEACH and dynamic cluster routingMultilaterationLoRaWANZigBee

  • Machine learning

    Random forestScikit-learnK-nearest neighboursSupport vector regressionFederated learning (FedAvg, FedProx)Non-IID settingsWeb usage mining

  • Hardware & radio

    NVIDIA Jetson NanoRaspberry Pi clustersSoftware-defined radioUSRPLoRaWAN gatewaysXBee

  • Optimisation

    Particle swarm (PSO)Salp swarm (SSA)Ant colony (ACO)Multi-verse optimiser (MVO)CMA-ESDifferential evolutionCuckoo search