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Department of Computer Science

Dr Chelsea Dobbins

Dr Chelsea Dobbins

Telephone: 0151 231 2284

Biography

Dr Chelsea Dobbins is a Senior Lecturer within the Department of Computer Science at Liverpool John Moores University. She has received a BSc (Hons) in Software Engineering and a PhD in Computer Science, focusing on Human Digital Memories/Lifelogging, from Liverpool John Moores University. She has also been awarded a LJMU Rising Star Learning and Teaching Award in 2016.

Dr Dobbins is an active researcher within the Department. Her research interests include Human Digital Memories, Lifelogging, Machine Learning, Pervasive Computing, Wireless Communication, Android Development, Artificial Intelligence, Programming, Software Engineering, Signal Processing, Big Data, Data Analysis, Mobile Computing, Classification, Clustering, Mobile Application Development, Physiological Computing and Software Development. Her work in this area has led to a strong interest in examining how digital memories/lifelogging can be used to analyse mood, lifestyle and behaviours.

Degrees

2014, Liverpool John Moores University, United Kingdom, PhD, Computer Science (Human Digital Memories)
2010, Liverpool John Moores University, United Kingdom, BSc (Hons), Software Engineering

Academic appointments

Senior Lecturer, Department of Computer Science, Liverpool John Moores University, 2013 - present

Publications

Highlighted publications

Dobbins C, Rawassizadeh R, Momeni E. 2017. Detecting Physical Activity within Lifelogs towards Preventing Obesity and Aiding Ambient Assisted Living NEUROCOMPUTING, 230 :110-132 >DOI

Dobbins CM, Fairclough SH. Signal Processing of Multimodal Mobile Lifelogging Data towards Detecting Stress in Real-World Driving IEEE Transactions on Mobile Computing, >DOI

Rawassizadeh R, Momeni E, Dobbins C, Gharibshah J, Pazzani M. Scalable Daily Human Behavioral Pattern Mining from Multivariate Temporal Data IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, >DOI

Journal article

Dobbins CM, Rawassizadeh R. 2018. Towards Clustering of Mobile and Smartwatch Accelerometer Data for Physical Activity Recognition Informatics, 5 >DOI

Dobbins C, Denton P. 2017. MyWallMate: An Investigation into the Use of Mobile Technology in Enhancing Student Engagement TechTrends, >DOI

Dobbins C, Rawassizadeh R, Momeni E. 2017. Detecting Physical Activity within Lifelogs towards Preventing Obesity and Aiding Ambient Assisted Living NEUROCOMPUTING, 230 :110-132 >DOI

Rawassizadeh R, Momeni E, Dobbins C, Mirza-Babaei P, Rahnamoun R. 2015. Lesson Learned from Collecting Quantified Self Information via Mobile and Wearable Devices Journal of Sensor and Actuator Networks (JSAN), 4 :315-335 >DOI

Al-jumeily D, Hussain A, Alghamdi M, Dobbins C, Lunn J. 2015. Educational crowdsourcing to support the learning of computer programming Research and Practice in Technology Enhanced Learning (RPTEL): Special Issue on Emerging Trends for Open Access Learning, 10 >DOI

Hughes G, Dobbins C. 2015. The Utilization of Data Analysis Techniques in Predicting Student Performance in Massive Open Online Courses (MOOCs) Research and Practice in Technology Enhanced Learning (RPTEL): Special Issue on Emerging Trends for Open Access Learning, 10 >DOI

Fergus P, Idowu IO, Hussain A, Dobbins C, Al-Askar H. 2014. Evaluation of Advanced Artificial Neural Network Classification and Feature Extraction Techniques for Detecting Preterm Births Using EHG Records Huang D-S, Han K, Gromiha M. Intelligent Computing in Bioinformatics, 8590 :309-314 >DOI

Dobbins C, Merabti M, Fergus P, Llewellyn-Jones D. 2014. Creating human digital memories with the aid of pervasive mobile devices Pervasive and Mobile Computing, 12 :160-178 >DOI

Dobbins C, Fergus P, Stratton G, Rosenberg M, Merabti M. 2013. Monitoring and reducing sedentary behavior in the elderly with the aid of human digital memories. Telemed J E Health, 19 :173-185 >DOI >Link

Dobbins C, Merabti M, Fergus P, Llewellyn-Jones D, Bouhafs F. 2013. Exploiting linked data to create rich human digital memories Computer Communications, 36 :1639-1656 >DOI

Fergus P, Attwood A, Dobbins C, Stratton G, Hussain A, Al-Jumeily D, Randles M. 2012. Monitoring and measuring physical activity and sedentary behaviour International Journal of Healthcare Technology and Management, 13 :283-303 >DOI

Dobbins CM, Fairclough SH. Signal Processing of Multimodal Mobile Lifelogging Data towards Detecting Stress in Real-World Driving IEEE Transactions on Mobile Computing, >DOI

Rawassizadeh R, Momeni E, Dobbins C, Gharibshah J, Pazzani M. Scalable Daily Human Behavioral Pattern Mining from Multivariate Temporal Data IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, >DOI

Fergus P, Idowu I, Hussain A, Dobbins C. Advanced Artificial Neural Network Classification for Detecting Preterm Births Using EHG Records Heskes T. Neurocomputing,

Hurst W, Dobbins C. Guest Editorial Special Issue on: Big Data Analytics in Intelligent Systems Hurst W, Dobbins C. Journal of Computer Sciences and Applications, Science and Education, 3 :1-9

Fergus P, Cheung P, Hussain A, Al-Jumeily D, Dobbins C, Iram S. Prediction of Preterm Deliveries from EHG Signals using Machine Learning PLoS One, 8 :e77154-e77154 >DOI

Conference publication

Dobbins C, Fairclough S. 2017. A Mobile Lifelogging Platform to Measure Anxiety and Anger During Real-Life Driving 2017 IEEE International Conference on Pervasive Computing and Communications (PerCom’17) :327-332 >DOI

Rawassizadeh R, Dobbins C, Nourizadeh M, Ghamchili Z, Pazzani M. 2017. A Natural Language Query Interface for Searching Personal Information on Smartwatches 2017 IEEE International Conference on Pervasive Computing and Communications (PerCom’17) :679-684 >DOI

Harris B, Dobbins C, Fairclough S, Lisboa P. 2017. Exploring Wearable Devices for Unobtrusive Stress Monitoring

Idowu I, Fergus P, Hussain A, Dobbins C, Khalaf M, Casana Eslava R, Keight R. 2016. Artificial Intelligence for Detecting Preterm Uterine Activity in Gynacology and Obstertric Care 15th IEEE International Conference on Computer and Information Technology (CIT’15) :215-220 >DOI

Dobbins C, Rawassizadeh R. 2016. Clustering of Physical Activities for Quantified Self and mHealth Applications 2015 IEEE International Conference on Ubiquitous Computing and Communications (IUCC’15) :1423-1428 >DOI

Shone N, Dobbins C, Hurst W, Shi Q. 2016. Digital Memories Based Mobile User Authentication for IoT 015 IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC’15) :1796-1802 >DOI

Dobbins C, Merabti M, Fergus P, Llewellyn-Jones D. 2015. A User-Centred Approach to Reducing Sedentary Behaviour Proceedings of The 11th Annual IEEE Consumer Communications & Networking Conference (CCNC’14), 11th Annual IEEE Consumer Communications & Networking Conference (CCNC’14) :1-6 >DOI

Dobbins C, Fergus P. 2015. Knowledge extraction using probabilistic reasoning: An artificial neural network approach Proceedings of the International Joint Conference on Neural Networks, 2015-September >DOI

Idowu I, Fergus P, Hussain A, Dobbins C, Al-Askar H. 2014. Advance Artificial Neural Network Classification Techniques Using EHG for Detecting Preterm Births 2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems :95-100 >DOI

Dobbins C, Merabti M, Fergus P, Llewellyn-Jones D. 2014. The Big Data Obstacle of Lifelogging 28th IEEE International Conference on Advanced Information Networking and Applications Workshops (WAINA’14) :922-926 >DOI

Dobbins C, Merabti M, Fergus P, Llewellyn-Jones D. 2012. Augmenting human digital memories with physiological data Proceedings - 2012 IEEE 3rd International Conference on Networked Embedded Systems for Every Application, NESEA 2012, >DOI

Dobbins C, Fergus P, Merabti M, Llewellyn-Jones D. 2012. Remotely monitoring and preventing the development of pressure ulcers with the aid of human digital memories IEEE International Conference on Communications, :6101-6105 >DOI

Dobbins C, Fergus P, Merabti M, Llewellyn-Jones D. 2012. Monitoring and measuring sedentary behaviour with the aid of human digital memories 2012 IEEE Consumer Communications and Networking Conference, CCNC'2012, :395-398 >DOI

Stamp K, Dobbins CM, Fairclough S, Poole H. The Influence of Game Demand on Distraction from Experimental Pain: A fNIRS Study 2nd International Neuroergonomics Conference >DOI

Dobbins CM, Fairclough S, Lisboa PJG, Navarro FFG. A Lifelogging Platform Towards Detecting Negative Emotions in Everyday Life using Wearable Devices 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom’18)

Dobbins CM, Fairclough S. Detecting Negative Emotions During Real-Life Driving via Dynamically Labelled Physiological Data 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom’18)

Stamp K, Dobbins C, Fairclough S, Poole H. Development of a Neuroadaptive Gaming Technology to Distract from Painful Procedures 1st Neuroadaptive Technology Conference 2017 (NAT’17)

Dobbins C, Fairclough S. Wearable Sensors, Driving and the Visualization of Cardiovascular Stress During Everyday Life 1st Neuroadaptive Technology Conference 2017 (NAT’17)

Harris B, Dobbins C, Fairclough S, Lisboa P. Measuring Academic Stress ‘In the Wild’ with Wearable Sensors: Removal of Noise from Wearable Sensor Data Using Fir Filters 1st Neuroadaptive Technology Conference 2017 (NAT’17)

Dobbins C, Merabti M, Fergus P, Llewellyn-Jones D. Creating Human Digital Memories for a Richer Recall of Life Experiences Proceedings of 10th IEEE International Conference on Networking, Sensing and Control (ICNSC'13), 10th IEEE International Conference on Networking, Sensing and Control (ICNSC'13) >DOI

Dobbins C, Merabti M, Fergus P, Llewellyn-Jones D. Capturing and Sharing Human Digital Memories with the Aid of Ubiquitous Peer– to–Peer Mobile Services Proceedings of 10th Annual IEEE International Conference on Pervasive Computing and Communications (PerCom’12), 10th Annual IEEE International Conference on Pervasive Computing and Communications (PerCom’12) >DOI

Hadi AS, Fergus P, Dobbins C, Al-Bakry AM. A Machine Learning Algorithm for Searching Vectorised RDF Data The 27th IEEE International Conference on Advanced Information Networking and Applications (AINA'13), 27th IEEE International Conference on Advanced Information Networking and Applications (AINA'13) >DOI

Chapters

Dobbins C, Fairclough S. 2015. Lifelogging Technologies to Detect Negative Emotions Associated with Cardiovascular Disease Applied Computing in Medicine and Health :27-44 Elsevier 978-0-12-803468-2 >DOI

Dobbins C, Merabti M, Fergus P, Llewellyn-Jones D. Capturing Human Digital Memories for Assisting Memory Recall Fairclough S, Gilleade K. Advances in Physiological Computing :211-234 Springer London >DOI

Thesis/Dissertation

Dobbins C. 2014. A System for Creating Rich and Interactive Human Digital Memories Merabti M, Fergus P, Llewellyn-Jones D.

Software/Code

Dobbins C. MyWallMate

Dobbins C. LKIS (Liverpool Knee Injury Study) Mobile Phone Application

Engagement & Impact

Highlighted activities

Award:

Rising Star Learning and Teaching Award, LJMU

Editorial boards:

PLOS ONE, Academic Editor in Machine Learning and Healthcare, http://journals.plos.org/plosone/static/editorial-board

Media Coverage:

http://www.timeshighereducation.co.uk/news/campus-close-up-southampton-solent-university/2010836.article, Mention in Times Higher Education. Magazine issue 2137

http://www.newscientist.com/article/mg22129514.600-lifelogging-even-your-home-appliances-could-do-it.html, Magazine article on 09 January 2014 in New Scientist about my research into lifelogging

Research Grants Awarded:

Engineering & Physical Sciences Research Council (EPSRC), Development of a Multimodal Lifelogging Platform to Support Self-Reflection & Monitor Inflammation Associated With the Experience of Negative Emotions, Prof. Stephen Fairclough, School of Natural Sciences and Psychology, Liverpool John Moores University, Grant value (£): £125,000, Duration of research project: 13 months

Professional activities

Award:

Recipient of ACM Computing Reviews Notable Papers of 2016, http://www.computingreviews.com/recommend/bestof/2016NotableItems.pdf

Honorable Mention Award at PerCom 2017

Rising Star Learning and Teaching Award, LJMU

Editorial boards:

PLOS ONE, Academic Editor in Machine Learning and Healthcare, http://journals.plos.org/plosone/static/editorial-board

Science and Education Publishing Journal of Computer Sciences and Applications – Special Issue on Big Data Analytics in Intelligent Systems, Guest Editor

External committees:

Inspiring the Future, Inspiring the Future, Volunteer, http://www.inspiringthefuture.org/

Media Coverage:

http://www.wam.ae/ar/news/general/1395275561181.html, http://www.albayan.ae/across-the-uae/education/2015-01-26-1.2296671, http://www.alkhaleej.ae/alkhaleej/page/c982b397-59c9-4b33-8f40-03e5324f616f, Keynote Talk, "Big Data and the Next Generation of Data Accumulation and Management", Khwarizmi International College, Scientific Symposium on Massive Data – Collection and Management Tools, Abu Dhabi, 22nd January 2015

http://www.timeshighereducation.co.uk/news/campus-close-up-southampton-solent-university/2010836.article, Mention in Times Higher Education. Magazine issue 2137

http://www.newscientist.com/article/mg22129514.600-lifelogging-even-your-home-appliances-could-do-it.html, Magazine article on 09 January 2014 in New Scientist about my research into lifelogging

Membership of professional bodies:

IEEE Computational Intelligence Society Member, IEEE

IEEE Computer Society Member, IEEE

IEEE Communications Society Member, IEEE

IEEE Member, IEEE

Other invited event:

Scientific Symposium on Massive Data – Collection and Management Tools, Abu Dhabi, UAE, Keynote Talk at Khwarizmi International College titled, "Big Data and the Next Generation of Data Accumulation and Management"

Research Grants Awarded:

Engineering & Physical Sciences Research Council (EPSRC), Development of a Multimodal Lifelogging Platform to Support Self-Reflection & Monitor Inflammation Associated With the Experience of Negative Emotions, Prof. Stephen Fairclough, School of Natural Sciences and Psychology, Liverpool John Moores University, Grant value (£): £125,000, Duration of research project: 13 months

LJMU Pump Priming, Identifying preferences and developing an interactive data model for an intelligent mobile application to manage patients diagnosed with different types of headache conditions including hydrocephalus, Dr Dhiya Al-Jumeily (LJMU) and Dr Abir Hussain (LJMU), Grant value (£): 5000, Duration of research project: 6 months

Teaching qualification:

Postgraduate Certificate in Learning and Teaching in Higher Education