Kanishka Ranaweera, PhD | Machine Learning Engineer in Melbourne, Australia

Kanishka Ranaweera, PhD, Machine Learning EngineerMachine learning engineer in Melbourne, Victoria, Australia, building production AI across MedTech, FinTech and applied AI: computer vision and medical image segmentation, LLMs and agents, federated and privacy-preserving learning, and MLOps. Currently Machine Learning Engineer at 4DMedical; previously Biokin, CSIRO Data61, The University of Queensland and LambdaCore.Contact: hello@kanishkabuilt.me · LinkedIn · Google Scholar · MediumProjects

IRT-FedLoRA: Reliability-Aware Federated Fine-Tuning

Pneumonia Detection with Vision Transformers

Probabilistic Deep Ensembles for FRDA Severity Assessment

Cross-Device Domain Adaptation for FRDA Assessment

ClusterGuardFL: Secure Cluster-Weighted Client Aggregation

AR-FL: Anomaly-Resilient Federated Learning

DP-FedMeta: Differentially Private Federated Meta-Learning

Utility-Enhanced Differentially Private Federated Learning

Multi-Objective Privacy-Utility Optimisation in Federated Learning

Meta-Clip: Privacy-Preserving Few-Shot Learning

Few-Shot Medical Diagnosis with Model-Agnostic Meta-Learning

AIM-M: Multiview IMU Assessment of Friedreich Ataxia

DTW-Based Outlier Removal for Reliable FRDA Measurement

FAIR: Interpretable Latent Severity Scoring for Neurological Disorders

FA-DPS: A Composite Severity Score for Friedreich Ataxia

Learning Using Privileged Information for FRDA Assessment

Forecasting Loss of Ambulation in Friedreich Ataxia

Reliable FRDA Assessment with Isolation Forest Anomaly Detection

Objective FRDA Assessment in Children

Dual-Relationship Modeling of Friedreich Ataxia

Adaptive LSTM-RNN Dynamic Equivalents for Power Systems

Robot Vision for Search-and-Rescue Facial Recognition

Aquacell PPE Research & Prototype Development