Dr Carl Chalmers
School of Computer Science and Mathematics

Email address: C.Chalmers@ljmu.ac.uk
Telephone: 0151 231 2017
Degrees
Liverpool John Moores University, UK, PhD
Liverpool John Moores University, United Kingdom, BSc (Hons) Computer Science
Academic appointments
Senior Lecturer in Machine Learning and Applied Artificial Intelligence, Liverpool John Moores University, Liverpool John Moores University, 2018 - present
Journal article
Thompson S, Fergus P, Chalmers C, Reilly D. 2020. Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE (WCCI) 2020, DOI 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 Publisher Url Public Url
Fergus P, Curbelo Montanez C, Abdulaimma B, Lisboa P, Chalmers C, Pineless B. 2020. 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 Public Url
Al-Khafajiy M, Shamsa TMSB, Chalmers C, Asim M, Kolivand H, Fahim M, Waraich A. 2019. Remote Health Monitoring of Elderly Through Wearable Sensors Multimedia Tools and Applications, 78 :24681-24706 DOI Author Url Publisher Url Public 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, 38 :1154-1166 DOI Author Url Public Url
Fergus P, Malarvizhi S, Chalmers C. 2018. 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
Chalmers C, Fergus P, Wich S, Montanez AC. Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology Author 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 Public 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 Proceedings of the International Joint Conference on Neural Networks, DOI
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
Montañez CAC, 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 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 The Eighth International Conference on Emerging Networks and Systems Intelligence Public Url
Chalmers C, Hurst W, MacKay M, Fergus P. 2016. A Smart Health Monitoring Technology 2016 International Conference on Intelligent Computation DOI Author 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 Public Url
chalmers C, Hurst W, mackay M, fergus P. Profiling Users in the Smart Grid EMERGING 2015 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
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. Author Url Public Url
Teaching qualification:
Postgraduate Certificate in Higher Education (PGCERT). 2020
Research Grants Awarded:
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.