Dr Carl Chalmers

Journal article

Chalmers C, Fergus P, Wich SA, Longmore SN, Walsh ND, Oliver L, Warrington J, Quinlan J, Appleby K. 2025. AI-Driven Real-Time Monitoring of Ground-Nesting Birds: A Case Study on Curlew Detection Using YOLOv10 Remote Sensing, 17 :1-21 DOI Publisher Url Public Url

Fergus P, Chalmers C, Matthews N, Nixon S, Burger A, Hartley O, Sutherland C, Lambin X, Longmore S, Wich S. 2024. Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data Sensors, 24 :1-31 DOI Author Url Publisher Url Public Url

Fergus P, Chalmers C, Longmore S, Wich S. 2024. Harnessing Artificial Intelligence for Wildlife Conservation Conservation, 4 :685-702 DOI Author Url Publisher Url Public Url

Kissling WD, Evans JC, Zilber R, Breeze TD, Shinneman S, Schneider LC, Chalmers C, Fergus P, Wich SA, Geelen LHWT. 2024. Development of a cost-efficient automated wildlife camera network in a European Natura 2000 site Basic and Applied Ecology, 79 :141-152 DOI Publisher Url Public Url

Thompson S, Reilly D, Fergus P, Chalmers C. 2023. Detection of Obstructive Sleep Apnoea Using Features Extracted From Segmented Time-Series ECG Signals With a One Dimensional Convolutional Neural Network IEEE Access, 12 :1076-1091 DOI Publisher Url Public Url

Fergus P, Chalmers C, Henderson W, Roberts D, Waraich A. 2023. Pressure Ulcer Categorization and Reporting in Domiciliary Settings using Deep Learning and Mobile Devices: A Clinical Trial to Evaluate End-to-End Performance IEEE Access, 11 :65138-65152 DOI Publisher Url Public Url

Chalmers C, Fergus P, Wich SA, Longmore SN, Walsh ND, Stephens PA, Sutherland C, Matthews N, Mudde J, Nuseibeh A. 2023. Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning Remote Sensing, 15 :2638-2638 DOI Author Url Publisher Url Public Url

Fergus P, Chalmers C, Longmore S, Wich S, Warmenhove C, Swart J, Ngongwane T, Burger A, Ledgard J, Meijaard E. 2023. Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation using Deep Learning and 3/4G Camera Traps DOI Author Url Publisher Url Public Url

Vélez J, McShea W, Shamon H, Castiblanco-Camacho PJ, Tabak MA, Chalmers C, Fergus P, Fieberg J. 2023. An evaluation of platforms for processing camera-trap data using artificial intelligence Methods in Ecology and Evolution, 14 :459-477 DOI Publisher Url Public Url

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

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, 10 :70113-70125 DOI 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

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

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

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, 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 Publisher Url

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 Publisher 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

preprint

Chalmers C, Fergus P, Wich S, Longmore SN, Walsh ND, Oliver L, Warrington J, Quinlan J, Appleby K. 2024. AI-Driven Real-Time Monitoring of Ground-Nesting Birds: A Case Study on Curlew Detection Using YOLOv10 DOI Author Url Publisher Url

Fergus P, Chalmers C, Matthews N, Nixon S, Burger A, Hartley O, Sutherland C, Lambin X, Longmore S, Wich S. 2024. Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data DOI Author Url Publisher Url

Fergus P, Chalmers C, Matthews N, Nixon S, Burger A, Hartley O, Sutherland C, Lambin X, Longmore S, Wich S. 2024. Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data Preprints.org DOI Publisher Url

Fergus P, Chalmers C, Henderson W, Roberts D, Waraich A. 2022. Pressure Ulcer Categorisation using Deep Learning: A Clinical Trial to Evaluate Model Performance DOI Author Url

Vélez J, Castiblanco-Camacho PJ, Tabak MA, Chalmers C, Fergus P, Fieberg J. 2022. Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligence arXiv DOI

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

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 DOI Author Url

Chalmers C, Fergus P, Wich S, Longmore SN. 2021. Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning arXiv DOI

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

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 DOI Author Url

Montañez CAC, Fergus P, Chalmers C, Malim NAH, Abdulaimma B, Reilly D, Falciani F. 2019. SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity arXiv DOI

Fergus P, Chalmers C, Montanez CC, Reilly D, Lisboa P, Pineles B. 2019. Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes arXiv DOI

Chalmers C, Fergus P, Montanez CAC, Sikdar S, Ball F, Kendall B. 2019. Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation arXiv DOI

Abdulaimma B, Fergus P, Chalmers C. 2018. Extracting Epistatic Interactions in Type 2 Diabetes Genome-Wide Data Using Stacked Autoencoder arXiv DOI

Montañez CAC, Fergus P, Chalmers C, Hind J. 2018. Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data arXiv DOI

Montañez CAC, Fergus P, Montañez AC, Chalmers C. 2018. Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs arXiv DOI

Fergus P, Montanez CC, Abdulaimma B, Lisboa P, Chalmers C. 2018. Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women arXiv DOI

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

Conference publication

Jermak H, Law D, Buntin S, Bento J, Chalmers C, Copperwheat CM, Steele IA, Harvey ÉJ, Smith RJ, Rodríguez-Gil P, Gutíerrez CM. 2022. Optimising rapid autonomous transient classifications with the New Robotic Telescope Proceedings of SPIE - The International Society for Optical Engineering, 12182 DOI Publisher Url

Chalmers C, Fergus P, Wich SA, Longmore SN. 2021. Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning International Joint Conference on Neural Networks, International Joint Conference on Neural Networks Virtual Event DOI Author Url Publisher Url Public Url

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 Publisher 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 Publisher 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 Publisher 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 Publisher 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 Publisher 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 Publisher 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 Publisher 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 Publisher 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 Publisher 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 Publisher 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 Publisher Url Public Url

Books (authored)

Fergus P, Chalmers C. 2022. Applied Deep Learning Springer International Publishing 9783031044199 DOI Publisher Url

Chapters

Chalmers C, Fergus P. 2021. Energy Sobriety: A Behaviour Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters Towards Energy Smart Homes Algorithms, Technologies, and Applications :21-47 Springer Nature 9783030764777 DOI Publisher Url Public Url

Fergus P, Chalmers C. 2021. Energy Sobriety: A Behavior Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters Towards Energy Smart Homes: Algorithms, Technologies and Applications :21-47 Springer 978-3-030-76476-0 DOI Author Url Publisher Url Public Url

Curbelo Montañez CA, Fergus P, Chalmers C, Hind J. 2020. Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data Computational Intelligence Methods for Bioinformatics and Biostatistics 11925 :262-276 Springer Nature DOI

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

Thesis/Dissertation

Curbelo Montanez C. 2019. SAERMA: Stacked Autoencoders Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS of Extreme Obesity Fergus P, Chalmers C. Public Url

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

Research Grants Awarded:

UKRI NERC PhD Student Scholarship, Developing efficient and accessible “data-to-decision” pipelines for remotely sensed biodiversity data, Grant value (£): 60000, Duration of research project: 3 Years. 2024

EPSRC, An automated image analysis pipeline to deliver high quality data for policy objectives – Integrating Conservation AI with MammalWeb, Paul Fergus, Philip Stephens, Grant value (£): 46,098, Duration of research project: 12. 2023

DCMS, Pressure Ulcers online development of a 5G use case in partnership with Mersey Care NHS Foundation Trust, Paul Fergus, Atfi Warach, Grant value (£): 4,300,000. 2022

Metropolitan Police, Object Detection for Live Stream Video Processing Phase 2, Paul Fergus, Grant value (£): 50,000, Duration of research project: 1 Year. 2022

Metropolitan Police, Object Detection for Live Stream Video Processing Phase 1, Paul Ferfus, Grant value (£): 20,000, Duration of research project: 1 Year. 2020

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.

Media Coverage:

Conservation AI on ITV Granada Reports (opens in a new tab) 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