Dr Carl Chalmers

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.