Professor Frans Coenen

Professor of Computer Science Computer Science

Work email Coenen@liverpool.ac.uk
Personal Websitehttp://www.csc.liv.ac.uk/~frans/

Teaching

Online Learning

Teaching

Modules for 2023-24

Applied Cryptography

Module code: CSCK510

Role: Module Co-ordinator

Cloud Computing

Module code: CSCK514

Role: Module Co-ordinator

Computer Science Capstone Project

Module code: CSCK700

Role: Module Co-ordinator

Cyber Forensics

Module code: CSCK512

Role: Module Co-ordinator

Cybercrime Prevention and Protection

Module code: CSCK511

Role: Module Co-ordinator

DISSERTATION PROJECT

Module code: CKIT702

Role: Module Co-ordinator

Data Visualisation and Warehousing

Module code: CSCK513

Role: Module Co-ordinator

Databases and Information Systems

Module code: CSCK542

Role: Teaching

Deep Learning

Module code: CSCK506

Role: Module Co-ordinator

Global Trends in Computer Science

Module code: CSCK501

Role: Module Co-ordinator

Information Technology Leadership

Module code: CSCK552

Role: Module Co-ordinator

Machine Learning in Practice

Module code: CSCK503

Role: Module Co-ordinator

Maths and Statistics for Data Science and AI

Module code: CSCK544

Role: Module Co-ordinator

Multi-Agent Systems

Module code: CSCK504

Role: Teaching

Natural Language Processing and Understanding

Module code: CSCK507

Role: Teaching

Networks and Web Technology

Module code: CSCK543

Role: Teaching

Reasoning and Intelligent Systems

Module code: CSCK502

Role: Teaching

Research Methods in Computer Science

Module code: CSCK508

Role: Module Co-ordinator

Robotics

Module code: CSCK505

Role: Teaching

Security Engineering and Compliance

Module code: CSCK509

Role: Module Co-ordinator

Security Risk Management

Module code: CSCK551

Role: Module Co-ordinator

Software Development in Practice

Module code: CSCK541

Role: Teaching

Strategic Technology Management

Module code: CSCK553

Role: Module Co-ordinator

Technology, Innovation and Change Management

Module code: CSCK554

Role: Module Co-ordinator

Supervised Theses

ADVANCED MEDICAL IMAGE CLASSIFICATION WITH CONVOLUTIONAL NEURAL NETWORKS

Advanced Representation Learning for Dense Prediction Tasks in Medical Image Analysis

Augmenting Compiler Optimisations through Source-to-Source Injection of Runtime Information-aware Transformations

Banded Pattern Mining For N-Dimensional Zero-One Data

CryptDB Mechanism on Graph Databases

DEEP LEARNING-BASED RNA MODIFICATION PREDICTION METHOD DEVELOPMENT

Deep Learning for Diabetic Retinopathy Diagnosis & Analysis

Deep Learning from Smart City Data

Detection and Recognition of Traffic Scene Objects with Deep Learning

Distributed graph partitioning to optimise collaborative filtering algorithms

Efficient and Effective Methodologies for Exploring and Prediction Movement Patterns in Large Networks

Evaluation Techniques for the Applications of Machine Learning in Cybersecurity

Evolutionary and Swarm Algorithm Optimized Density- Based Clustering and Classification for Data Analytics

Generating an RDF dataset from Twitter data: A Study Using Machine Learning

HTML Steganography Algorithms and Detection Methods

Keyboard Usage Recognition: A Study in Pattern Mining and Prediction in the Context of Impersonation

Keyboard Usage Recognition: A Study in Pattern Mining and Prediction in the Context of Impersonation

Learning Transferable Features for Unsupervised Domain Adaptation in Natural Language Processing

Learning and Leveraging Structured Knowledge from User-Generated Social Media Data

Machine learning and sentiment analysis approaches for the analysis of Parliamentary debates

Multimorbidity and Polypharmacy: A Health Informatics Approach

Multimorbidity and Polypharmacy: A Health Informatics Approach

PHONOCARDIOGRAM CLASSIFICATION USING MOTIF DISCOVERY

Pathology Data Prioritisation in the Absence of a Ground Truth

Privacy Preserving Third Party Data Mining Using Cryptography

Six Approaches to Enhancing the Efficiency of Dynamic Time Warping: A Study Using Nearest Neighbour Classification

Statistical and Deep Learning Approaches for Characterizing RNA Modification with respect to RNA Sequence, Functional Component and Gene Structure

Sustainable Development Goals Attainment Prediction: A Hierarchical Framework using Time Series Modelling

The Application of Machine Learning Methods to Portfolio Management

The socio-economic value of diagnostic innovation - managing paediatric fever in the Emergency Department

Using Knowledge Graphs to enhance the utility of Curated Document Databases

Vision-based Driver Behaviour Analysis

Volumetric Data Classification: A Study Direct at 3-D Imagery