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Department of Computer Science

Dr Carl Chalmers

Dr Carl Chalmers

Telephone: 0151 231 2017

Biography

Degrees

Liverpool John Moores University, UK, PhD

Publications

Conference publication

Chalmers C, Hurst W, Mackay M, Fergus P, Al-Jumeily D, Kendall B. 2019. Intelligent health monitoring using smart meters Advances in Intelligent Systems and Computing, 858 :1104-1113 >DOI

MontaƱez CAC, Fergus P, MontaƱez 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 >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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11304 LNCS :304-315 >DOI

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 >Link

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 >Link

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 >Link

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 >Link

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 >Link

Chalmers C, Hurst W, MacKay M, Fergus P. 2016. A Smart Health Monitoring Technology 2016 International Conference on Intelligent Computation >Public 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. 2015. Smart meter profiling for health applications Proceedings of the International Joint Conference on Neural Networks, 2015-September >DOI >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)

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

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

Journal article

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, >DOI >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, >DOI >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 >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, >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, 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 >Link

Chapters

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

Thesis/Dissertation

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