Konstantinos Sirlantzis

Professor of Applied Artificial Intelligence (AI)

Canterbury Christ Church University

United Kingdom

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Professor Konstantinos Sirlantzis is a faculty member at Canterbury Christ Church University in the United Kingdom. His research primarily focuses on Applied Artificial Intelligence (AI) with recent contributions in areas such as exosomal liquid biopsy for cancer diagnosis, human-robot interaction in pediatric robotics, and augmented reality applications in surgical systems. He has published extensively on topics including deep learning models for exoskeletons and virtual reality training methods.

Articles (17)

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2025

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2023

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2022

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2022

Collaborators (4)

Mahmood Shafiee

Professor, Chair in Energy Engineering

University of Surrey

UNITED KINGDOM

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Saak V. Ovsepian

UNITED KINGDOM

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Alexandra Covaci

University of Kent

UNITED KINGDOM

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Sanaul Hoque

University of Kent

UNITED KINGDOM

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Konstantinos Sirlantzis

Research Interests

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Articles (17)

Exosomal Liquid Biopsy in Prostate Cancer: A Systematic Review of Biomarkers for Diagnosis, Prognosis, and Treatment Response

Development of a Microcontroller-Based Recurrent Neural Network Predictive System for Lower Limb Exoskeletons

Evaluating the interaction between human and paediatric robotic lower-limb exoskeleton: a model-based method

Light field imaging technology for virtual reality content creation: A review

Augmented Reality (AR) for Surgical Robotic and Autonomous Systems: State of the Art, Challenges, and Solutions

Effect of Gait Speed on Trajectory Prediction Using Deep Learning Models for Exoskeleton Applications

A Standardized and Cost-Effective VR Approach for Powered Wheelchair Training

Deep Learning Models for Stable Gait Prediction Applied to Exoskeleton Reference Trajectories for Children With Cerebral Palsy

Non-Intrusive Head Movement Control for Powered Wheelchairs: A Vision-Based Approach

Train vs. Play: Evaluating the Effects of Gamified and Non-Gamified Wheelchair Skills Training Using Virtual Reality

Exosomes in the Diagnosis and Treatment of Renal Cell Cancer

Design and Control of a Single-Leg Exoskeleton with Gravity Compensation for Children with Unilateral Cerebral Palsy

Optimisation of Deep Learning Small-Object Detectors with Novel Explainable Verification

A pixel-wise annotated dataset of small overlooked indoor objects for semantic segmentation applications.

A review of visualisation-as-explanation techniques for convolutional neural networks and their evaluation

Cross-Domain Multitask Model for Head Detection and Facial Attribute Estimation

Investigation of Vibration and User Comfort for Powered Wheelchairs

Collaborators (4)

Mahmood Shafiee

Saak V. Ovsepian

Alexandra Covaci

Sanaul Hoque

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