Dr Carl Chalmers

Journal article

Westworth SOA, Chalmers C, Fergus P, Longmore SN, Piel AK, Wich SA. 2022. Understanding External Influences on Target Detection and Classification Using Camera Trap Images and Machine Learning Sensors, 22 :5386-5386 DOI Author Url Publisher Url Public Url

Givnan S, Chalmers C, Fergus P, Ortega-martorell S, Whalley T. 2022. Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors Sensors, 22 :3166 DOI Author Url Publisher Url Public Url

Reilly D, Taylor M, Fergus P, Chalmers C, Thompson S. 2022. The Categorical Data Conundrum: Heuristics for classification problems – a case study on domestic fire injuries IEEE Access, DOI

Piel AK, Crunchant A, Knot IE, Chalmers C, Fergus P, Mulero Pazmany MC, Wich SA. 2021. Noninvasive Technologies for Primate Conservation in the 21st Century International Journal of Primatology, DOI Author Url Publisher Url Public Url

Givnan S, Chalmers C, Fergus P, Ortega S, Whalley T. 2021. Real-Time Predictive Maintenance using Autoencoder Reconstruction and Anomaly Detection Author Url

Doull KE, Chalmers C, Fergus P, Longmore SN, Piel AK, Wich SA. 2021. An Evaluation of the Factors Affecting 'Poacher' Detection with Drones and the Efficacy of Machine-Learning for Detection. Sensors, 21 DOI Author Url Publisher Url Public Url

Chalmers C, Fergus P, Curbelo Montañez CA, Longmore SN, Wich SA. 2021. Video Analysis for the Detection of Animals Using Convolutional Neural Networks and Consumer-Grade Drones Journal of Unmanned Vehicle Systems, DOI Publisher Url Public Url

Reilly D, Taylor MJ, Fergus P, Chalmers C, Thompson S. 2021. Misper-Bayes: A Bayesian Network Model for Missing Person Investigations IEEE Access, 9 :49990-50000 DOI Author Url Publisher Url Public Url

Fergus P, Chalmers C, Montañez CC, Reilly D, Lisboa P, Pineles B. 2020. Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes IEEE Transactions on Emerging Topics in Computational Intelligence, DOI Author Url Publisher Url Public Url

Montenaz C, Fergus P, Chalmers C, Malim N, Abdulaimma B, Reilly D, falciani F. 2020. SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity IEEE Access, DOI Author Url Publisher Url Public Url

Fergus P, Chalmers C. 2020. BMI: A Behavior Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters Author Url

Chalmers C, Hurst W, MacKay M, Fergus P. 2019. Identifying Behavioural Changes for Health Monitoring Applications using the Advanced Metering Infrastructure Behaviour and Information Technology, DOI Author Url Publisher Url Public Url

Al-Khafajiy M, Baker T, Chalmers C, Asim M, Kolivand H, Fahim M, Waraich A. 2019. Remote Health Monitoring of Elderly Through Wearable Sensors Multimedia Tools and Applications, DOI Author Url Publisher Url Public Url

Fergus P, Curbelo Montanez C, Abdulaimma B, Lisboa P, Chalmers C, Pineless B. 2018. Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17 :668-678 DOI Author Url Publisher Url Public Url

Fergus P, Chalmers C, Tully D. 2018. Collaborative Pressure Ulcer Prevention: An Automated Skin Damage and Pressure Ulcer Assessment Tool for Nursing Professionals, Patients, Family Members and Carers Author Url

Fergus P, Selvaraj M, Chalmers C. 2017. Machine learning Ensemble Modelling to classify caesarean section and vaginal delivery types using cardiotocography traces Ciaccio EJ. Computers in Biology and Medicine, 93 :7-16 DOI Author Url Publisher Url Public Url

Chalmers C, Mackay M, MacDermott A. 2016. Securing the smart grid: threats and remediation International Journal of Smart Grid and Green Communications, 1 :166-166 DOI

Thompson S, Fergus P, Chalmers C, Reilly D. Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network IEEE Explore, DOI Author Url Public Url

Chalmers C, Fergus P, Montanez CAC, Sikdar S, Ball F, Kendall B. Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation IEEE Transactions on Emerging Topics in Computing, DOI Author Url Publisher Url Public Url

Chalmers C, Fergus P, Wich SA, Longmore SN. Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning International Joint Conference on Neural Networks, DOI Author Url Public Url

preprint

Chalmers C, Fergus P, Wich S, Montanez AC. 2021. Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology Author Url

Conference publication

Abdulaimma B, Fergus P, Chalmers C, Montanez CC. 2020. Deep Learning and Genome-Wide Association Studies for the Classification of Type 2 Diabetes 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), International Joint Conference on Neural Networks (IJCNN) held as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI) DOI Author Url

Chalmers C, Hurst W, Mackay M, Fergus P, Al-Jumeily D, Kendall B. 2019. Intelligent Health Monitoring Using Smart Meters Arai K, Kapoor S, Bhatia R. INTELLIGENT COMPUTING, VOL 1, Computing Conference 858 :1104-1113 DOI Author Url

Curbelo Montañez CA, Fergus P, Montañez AC, Hussain A, Al-Jumeily D, Chalmers C. 2018. Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs 2018 International Joint Conference on Neural Networks (IJCNN), IEEE World Congress on Computational Intelligence DOI Author Url Publisher Url Public Url

Kleanthous N, Hussain A, Mason A, Sneddon J, Shaw A, Fergus P, Chalmers C, Al-Jumeily D. 2018. Machine Learning Techniques for Classification of Livestock Behavior Cheng L, Leung ACS, Ozawa S. NEURAL INFORMATION PROCESSING (ICONIP 2018), PT IV, 25th International Conference on Neural Information Processing (ICONIP) 11304 :304-315 DOI Author Url

Al Smadi HB, Petchej FJ, Al-Jumeily D, Hussain AJ, Chalmers C, Jennings RP. 2018. The Development of an Arches Resource Model for Recording Radiocarbon Information 2018 11TH INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2018), 11th International Conference on Developments in eSystems Engineering (DeSE) :220-224 DOI Author Url

Hind J, Hussain A, Al-jumeily D, Montanez CAC, Chalmers C, Lisboa P. 2018. Robust Interpretation of Genomic Data in Chronic Obstructive Pulmonary Disease (COPD) 2018 11TH INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2018), 11th International Conference on Developments in eSystems Engineering (DeSE) :12-17 DOI Author Url

Al-Khafajiy M, Baker T, Al-Libawy H, Waraich A, Chalmers C, Alfandi O. 2018. Fog Computing Framework for Internet of Things Applications 2018 11TH INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2018), 11th International Conference on Developments in eSystems Engineering (DeSE) :71-77 DOI Author Url

Khalaf M, Hussain AJ, Al-Jumeily D, Keight R, Keenan R, Al Kafri AS, Chalmers C, Fergus P, Idowu IO. 2017. A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets Huang DS, Jo KH, FigueroaGarcia JC. INTELLIGENT COMPUTING THEORIES AND APPLICATION, ICIC 2017, PT II, 13th International Conference on Intelligent Computing (ICIC) 10362 :115-121 DOI Author Url

Khalaf M, Hussain AJ, Keight R, Al-Jumeily D, Keenan R, Chalmers C, Fergus P, Salih W, Abd DH, Idowu IO. 2017. Recurrent Neural Network Architectures for Analysing Biomedical Data sets Hamdan H, AlJumeily D, Hussain A, Tawfik H, Hind J. 2017 10TH INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2017), 10th International Conference on Developments in eSystems Engineering (DeSE) :232-237 DOI Author Url

Chalmers C, Hurst W, MacKay M, Fergus P. 2016. Smart Monitoring: An Intelligent System to Facilitate Health Care across an Ageing Population EMERGING 2016: The Eighth International Conference on Emerging Networks and Systems Intelligence, The Eighth International Conference on Emerging Networks and Systems Intelligence :34-39 Publisher Url Public Url

Chalmers C, Hurst W, MacKay M, Fergus P. 2016. A Smart Health Monitoring Technology Lecture Notes in Computer Science: Intelligent Computing Theories and Application, 2016 International Conference on Intelligent Computation 9771 :832-842 DOI Author Url Publisher Url Public Url

Chalmers CARL, Hurst W, Fergus P, Mackay M. 2015. Smart Health Monitoring Using the Advanced Metering Infrastructure the IEEE Workshop on the Internet of Things and Big Data for Healthcare (IoTBDH-2015) DOI Author Url

Chalmers C, Hurst W, Mackay M, Fergus P. 2015. Smart meter profiling for health applications Proceedings of the International Joint Conference on Neural Networks, 2015-September DOI Author Url Publisher Url Public Url

Chalmers C, Hurst W, MacKay M, Fergus P. 2015. Profiling Users in the Smart Grid Emerging 2015: The Seventh International Conference on Emerging Neworks and Systems Intelligence, EMERGING 2015: Seventh International Conference on Emerging Networks and Systems Intelliegence Public Url

Hurst W. Developing a Productivity Accelerator Platform to Support UK Businesses in the Industry 4.0 Revolution Third International Congress on Information and Communication Technology DOI Author Url

Mwansa M, Hurst W, Chalmers C, Shen Y, Boddy A. A Study into Smart Grid Consumer-User Profiling for Security Applications The Ninth International Conference on Cloud Computing, GRIDs, and Virtualization CLOUD COMPUTING 2018 Public Url

Curbelo Montañez CA, Fergus P, Hussain A, Al-Jumeily D. Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data 2018 International Conference on Intelligent Computing (ICIC) DOI Author Url Public Url

Chapters

Chalmers C. 2017. Smart Health Monitoring Using Smart Systems Smart Cities Foundations, Principles and Applications :773-792 John Wiley & Sons 9781119226390 DOI

Chalmers C, Fergus P. Energy Sobriety: A Behaviour Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters Towards Energy Smart Homes Algorithms, Technologies, and Applications Springer Nature 9783030764777 DOI

Thesis/Dissertation

Chalmers C. Adaptive Health Monitoring Using Aggregated Energy Readings from Smart Meters Hurst W, Mackay M, Fergus P. Public Url

Curbelo Montanez C. SAERMA: Stacked Autoencoders Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS of Extreme Obesity Fergus P, Chalmers C. Public Url

Media Coverage:

https://www.ljmu.ac.uk/about-us/news/articles/2021/12/1/scientists-unveil-new-weapon-in-war-on-animal-poachers, Conservation AI on ITV Granada Reports. 2021

Editorial boards:

Special Issue "Sensors and Artificial Intelligence for Wildlife Conservation" A special issue of Sensors (ISSN 1424-8220), Guest Editor, https://www.mdpi.com/journal/sensors/special_issues/sensors_AI_wildlife_conservation. 2021

Teaching qualification:

Postgraduate Certificate in Higher Education (PGCERT). 2020

Research Grants Awarded:

United States Fish and Wildlife Service, Developing a Machine Learning Method to Count Orangutan Nest in Malaysian and Indonesia on Drone Images to Increase Survey Efficiency, Serge Wich, Paul Ferus, Grant value (£): 66,000, Duration of research project: 12. 2020

ICURe, ICURe, “Personalised Health Care Monitoring Using Smart Meter Energy Readings", Dr Paul Fergus, Grant value (£): 35,000. 2016

EPSRC GCRF Global Research Translation Awards, Using drones to protect biodiversity and spur economic growth in Madagascar, Prof. Steve Longmore (PI), Dr. Paul Fergus, Dr. Carl Chalmers, Dr. Fred Bezombes, Prof. Serge Wich and Dr. Owen McAree, Grant value (£): 575,000.

Industry match fund PhD Scholarship, Industry match fund PhD Scholarship for a project entitled: “Real-time Industrial Monitoring Using Machine Learning Techniques for Predictive and Preventative Maintenance”., Dr Paul Fergus, Grant value (£): 30,500.

Innovate UK, Application Mogul News: A novel Automated Fact Checking tool utilising state-of-the-art machine learning approaches and natural language processing, Dr Paul Fergus, Grant value (£): 378,000.