Researcher Details |

Andrew Mccarren

Dr.

I am currently an Assistant Professor in the School of Computing and research convener for the faculty of Engineering and Computing. I am also a funded SFI investigator in the Insight Centre of Data Analytics. My primary research interests are in the application of Data Analytics and Data Mining techniques.in Fintech, Agriculture, Food, Health and Human Performance, and I am currently the PI on a number of SFI and EI awarded projects. I have extensive industry experience during my 20 years in the Agri, Electronic Engineering and Pharmaceutical industries. I have continued to consult with many industry partners and I am currently a director of MCR Agri Analytics Ltd.

I teach on a number of post graduate and undergraduate programs in the School of Computing and I am currently the practicum coordinator for the M.Sc. in Computer Science.

Peer Reviewed Journal

	Year	Publication
	2022	Cantwell, M.;Kehoe, B.;Moyna, N.;McCaffrey, N.;Skelly, F.;Loughney, L.;Walsh, D.M.;Dowd, K.;McCarren, A.;Woods, C. (2022) 'Study protocol for the investigation of the clinical effectiveness of a physical activity behaviour change intervention for individuals living with and beyond cancer'. Contemporary Clinical Trials Communications, 26 . [Link] [DOI]
	2022	Aidah J Brady;Niall M. Moyna;Michael Scriney;Andrew McCarren (2022) 'Activity profile of elite Gaelic football referees during competitive match play'. Journal of Science and Medicine in Sport, . https://doi.org/10.1080/24733938.2022.2049456
	2021	Aidan J. Brady, Michael Scriney, Niall M. Moyna & Andrew McCarren (2021) 'Identification of movement categories and associated velocity thresholds for elite Gaelic football and hurling referees'. International Journal of Performance Analysis in Sport, . [DOI]
	2021	Satya Prakash;Donagh P Berry,;Mark Roantree;Oluwadurotimi Onibonoje;Leonardo Gualano;Michael Scriney;Andrew McCarren (2021) 'Using Artificial Intelligence to Automate Meat Cut Identification from the Semimembranosus Muscle on Beef Boning Lines'. Journal of Animal Science, . https://doi.org/10.1093/jas/skab319
	2021	Bahrpeyma, F;Roantree, M;Cappellari, P;Scriney, M;McCarren, A (2021) 'A Methodology for Validating Diversity in Synthetic Time Series Generation'. MethodsX, 8 . [Link] [DOI]
	2021	Cullen B.D.;McCarren A.L.;Malone S. (2021) 'Ecological validity of self-reported wellness measures to assess pre-training and pre-competition preparedness within elite Gaelic football'. Sport Sciences for Health, . [DOI]
	2021	Sheridan, S;McCarren, A;Gray, C;Murphy, RP;Harrison, M;Wong, SHS;Moyna, NM (2021) 'Maximal oxygen consumption and oxygen uptake efficiency in adolescent males'. Journal of Exercise Science and Fitness, 19 (2). [DOI]
	2021	McCormack, C.;Kehoe, B.;Hardcastle, S.J.;McCaffrey, N.;McCarren, A.;Gaine, S.;McCullagh, B.;Moyna, N. (2021) 'Pulmonary hypertension and home-based (PHAHB) exercise intervention: Protocol for a feasibility study'. BMJ Open, 11 . [Link] [DOI]
	2020	Declan Gamble, Niall Moyna, Richard McCann, Damian Martin, Gerard Mc Mahon, Lee Rooney, Matt Spencer, Jonathan Bradley, Andrew McCarren (2020) 'Alterations in Team Physical Performance and Possession in Elite Gaelic Football Competition'. American Journal of Sports Medicine, 8 (2).
	2020	Kehoe B.;Skelly F.;Moyna N.;Cantwell M.;Boran L.;Daly L.;McCarren A.;Dowd K.;Woods C.;McCaffrey N.;Loughney L. (2020) 'The effect of participating in MedEx Wellness, a community-based chronic disease exercise rehabilitation programme, on physical, clinical and psychological health: A study protocol for a cohort trial'. Contemporary Clinical Trials Communications, 19 . [DOI]
	2020	Gamble D.;McCarren A.;Bradley J.;Moyna N. (2020) 'Novel component variables can be used to distinguish between winning and losing across match periods in elite Gaelic football'. International Journal of Performance Analysis in Sport, 20 (2):264-279. [DOI]
	2020	Skelly, Fiona and Furlong, Brona and Loughney, Lisa and McCaffrey, Noel and Dowd, Kieran and Daly, Leslie and Woods, Catherine and McCarren, Andrew and Moyna, Niall (2020) 'Relation Between Physical Activity, Sedentary Behavior And Chronic Disease Risk Factors Using Principal Component Analysis.: 1630 Board\# 224 May 28 10: 30 AM-12: 00 PM'. 52 (7S):434-435.
	2020	Loughney, L;McCaffrey, N;Timon, CM;Grundy, J;McCarren, A;Cahill, R;Moyna, N;Mulsow, J (2020) 'Physical, psychological and nutritional outcomes in a cohort of Irish patients with metastatic peritoneal malignancy scheduled for cytoreductive surgery (CRS) and heated intrapertioneal chemotherapy (HIPEC): An exploratory pilot study'. PLoS ONE, 15 . [DOI]
	2019	Scriney, Michael and McCarthy, Suzanne and McCarren, Andrew and Cappellari, Paolo and Roantree, Mark (2019) 'Automating data mart construction from semi-structured data sources'. 62 (3):394-413.
	2019	Belton S.;McCarren A.;McGrane B.;Powell D.;Issartel J. (2019) 'The Youth-Physical Activity Towards Health (Y-PATH) intervention: Results of a 24 month cluster randomised controlled trial'. PLoS ONE, 14 (9). [DOI]
	2019	Azodi C.;Bolger E.;McCarren A.;Roantree M.;de Los Campos G.;Shiu S. (2019) 'Benchmarking Parametric and Machine Learning Models for Genomic Prediction of Complex Traits'. G3 (Bethesda, Md.), 9 (11):3691-3702. [DOI]
	2019	Gamble, D;Spencer, M;McCarren, A;Moyna, N (2019) 'Activity profile, PlayerLoad (TM) and heart rate response of Gaelic football players: A pilot study'. Journal of Human Sport and Exercise, 14 :711-724. [DOI]
	2019	Scriney M.;McCarthy S.;McCarren A.;Cappellari P.;Roantree M. (2019) 'Automating Data Mart Construction from Semi-structured Data Sources'. Computer Journal, 62 (3):394-413. [DOI]
	2019	D Gamble, A McCarren, J Bradley, N Moyna (2019) 'Temporal changes in team performance indicators which differentiate between winning and losing in elite Gaelic football'. American Journal of Sports Medicine, 7 (4):199-207.
	2019	Gamble D.;Bradley J.;McCarren A.;Moyna N. (2019) 'Team performance indicators which differentiate between winning and losing in elite Gaelic football'. International Journal of Performance Analysis in Sport, 19 (4):478-490. [DOI]
	2018	Kelly DT;Tobin C;Egan B;Carren AM;OʼConnor PL;McCaffrey N;Moyna NM; (2018) 'Comparison of sprint interval and endurance training in team sport athletes'. Journal of Strength and Conditioning Research, . [DOI]
	2017	Cullen BD, Roantree MT, McCarren AL, Kelly DT, OʼConnor PL, Hughes SM, Daly PG, Moyna NM (2017) 'Physiological Profile and Activity Pattern of Minor Gaelic Football Players'. Journal of Strength and Conditioning Research, 31 (7):1811-1820.
	2013	Leddy S;Hadavi S;McCarren A;Giovannoni G;Dobson R; (2013) 'Validating a novel web-based method to capture disease progression outcomes in multiple sclerosis'. Journal of Neurology, 260 (10). [DOI]
	1994	MCCARREN, AL;RUSKIN, HJ;MCGUIGAN, KG;HENRY, MO (1994) 'PIEZO-SPECTROSCOPIC DATA-ANALYSIS - A PC TOOL'. IEE Proceedings: Science, Measurement and Technology, 141 :185-189.
	1994	Ruskin H.J. and McCarren A.L. (1994) 'Size effects of slope dynamics in a 2-dimensional sandpile '. PHYSICA A, 207 :477-482. [DOI]

Book Chapter

	Year	Publication
	2017	Bailey, K.;Roantree, M.;Crane, M.;McCarren, A.; (2017) 'Data mining in agri warehouses using MODWT wavelet analysis' In: Communications in Computer and Information Science. Switzerland : Springer International Publishing AG. [Link] [DOI]

Conference Publication

	Year	Publication
	2021	Sharath Madhu Manjunath, Manju Gurjar, Neil O'Kane, Andrew McCarren, Leonardo Gualano (2021) 28th AICS 2021: Dublin, Ireland *Detection of covid 19 from an imbalanced chest x-ray image data set*
	2021	Justin Fajou;JAndrew McCarren: (2021) 28th AICS 2021: Dublin, Ireland *Forecasting Gold Prices Using Temporal Convolutional Networks*
	2020	Gutowska, M.L.;Scriney, M.;McCarren, A.; (2020) CEUR Workshop Proceedings *Identifying extra-terrestrial intelligence using machine learning*
	2020	Grogan J.;Mulready C.;McDermott J.;Urbanavicius M.;Yilmaz M.;Abgaz Y.;McCarren A.;MacMahon S.T.;Garousi V.;Elger P.;Clarke P. (2020) Communications in Computer and Information Science *A Multivocal Literature Review of Function-as-a-Service (FaaS) Infrastructures and Implications for Software Developers* [DOI]
	2020	Kennedy, Stefan and Walsh, Niall and Sloka, Kirils and McCarren, Andrew and Foster, Jennifer (2020) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop *Fact or factitious? Contextualized opinion spam detection*
	2019	McCarthy, Suzanne and McCarren, Andrew and Roantree, Mark (2019) 2019 IEEE 23rd International Enterprise Distributed Object Computing Conference (EDOC) *A Method for Automated Transformation and Validation of Online Datasets*
	2019	Scriney, M;Xing, CC;McCarren, A;Roantree, M (2019) DATABASE AND EXPERT SYSTEMS APPLICATIONS, PT I *Representative Sample Extraction from Web Data Streams* [DOI]
	2019	Scriney, Michael and Xing, Congcong and McCarren, Andrew and Roantree, Mark (2019) International Conference on Database and Expert Systems Applications *Representative Sample Extraction from Web Data Streams*
	2019	Kennedy, S;Walsh, N;Sloka, K;McCarren, A;Foster, J (2019) 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2019:): STUDENT RESEARCH WORKSHOP *Fact or Factitious? Contextualized Opinion Spam Detection*
	2019	O'Brien, KD;Kelly, SM;Roantree, M;McCarren, A;Furlong, B;Moyna, NM (2019) American College of Sports Medicine *An Evaluation of the Irish Life Schools Fitness Challenge*
	2019	McCarthy, S;McCarren, A;Roantree, M (2019) 2019 IEEE 23RD INTERNATIONAL ENTERPRISE DISTRIBUTED OBJECT COMPUTING CONFERENCE (EDOC) *A Method for Automated Transformation and Validation of Online Datasets* [DOI]
	2019	Alshaya, Sara and McCarren, Andrew and Al-Rasheed, Amal (2019) International Conference on Computing *Predicting No-show Medical Appointments Using Machine Learning*
	2019	Alamro, Rawan and McCarren, Andrew and Al-Rasheed, Amal (2019) International Conference on Computing *Predicting Saudi Stock Market Index by Incorporating GDELT Using Multivariate Time Series Modelling*
	2018	Bahrpeyma F., Roantree M., McCarren A (2018) DaWaK 2018 *A Comparison of Analytical and Algorithmic Approaches*
	2018	Bahrpeyma F.;Roantree M.;McCarren A. (2018) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) *Multistep-ahead prediction: A comparison of analytical and algorithmic approaches* [DOI]
	2018	McCarthy, Suzanne and McCarren, Andrew and Roantree, Mark (2018) International Conference on Database and Expert Systems Applications *Combining web and enterprise data for lightweight data mart construction*
	2018	Bahrpeyma, Fouad and Roantree, Mark and McCarren, Andrew (2018) International Conference on Big Data Analytics and Knowledge Discovery *Multistep-ahead prediction: a comparison of analytical and algorithmic approaches*
	2018	McCormack, CM;McDermott, CM;Kelly, SM;McCarren, A;Moran, KM;Moyna, NM (2018) American College of Sports Medicine *Physical Activity Patterns And Cardiorespiratory Fitness In Men With Cardiovascular Disease*
	2018	McCarthy S.;McCarren A.;Roantree M. (2018) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) *Combining web and enterprise data for lightweight data mart construction* [DOI]
	2017	O’Donoghue, Jim and Roantree, Mark and McCarren, Andrew (2017) International Conference on Big Data Analytics and Knowledge Discovery *Detecting feature interactions in agricultural trade data using a deep neural network*
	2017	Bailey, Ken and Roantree, Mark and Crane, Martin and McCarren, Andrew (2017) International Conference on Information and Software Technologies *Data mining in agri warehouses using modwt wavelet analysis*
	2017	McCarren A.;McCarthy S.;Sullivan C.;Roantree M. (2017) ACM International Conference Proceeding Series *Anomaly detection in agri warehouse construction* [DOI]
	2017	Bailey K.;Roantree M.;Crane M.;McCarren A. (2017) Communications in Computer and Information Science *Data mining in agri warehouses using MODWT wavelet analysis* [DOI]
	2017	McDermott, M.C., McCarren, A., Moran, K. and Moyna, N.M. (2017) Faculty of Sport and Exercise Medicine Conference , RCSI *Concurrent validity of Fitbit Charge HR and Microsoft Band 2 to measure heart rate* RCSI Dublin Ireland,
	2017	O’Donoghue J.;Roantree M.;McCarren A. (2017) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) *Detecting feature interactions in agricultural trade data using a deep neural network* [DOI]
	2017	McCarren, Andrew and McCarthy, Suzanne and Sullivan, Conor O and Roantree, Mark (2017) Proceedings of the Australasian Computer Science Week Multiconference *Anomaly detection in agri warehouse construction*
	2017	Bahrpeyma, Fouad and Roantree, Mark and McCarren, Andrew (2017) Irish Conference on Artificial Intelligence and Cognitive Science *Multi-resolution forecast aggregation for time series in agri datasets*
	2016	O'Donoghue J.;Roantree M.;McCarren A. (2016) Proceedings - International Conference on Research Challenges in Information Science *Variable interactions in risk factors for dementia* [DOI]
	2015	O'Donoghue J.;Roantree M.;Cullen B.;Moyna N.;Sullivan C.;McCarren A. (2015) CEUR Workshop Proceedings *Anomaly and event detection for unsupervised athlete performance data*

Abstract

	Year	Publication
	2020	Skelly, F;Furlong, B;Loughney, L;McCaffrey, N;Dowd, K;Daly, L;Woods, C;McCarren, A;Moyna, N (2020) Relation Between Physical Activity, Sedentary Behavior And Chronic Disease Risk Factors Using Principal Component Analysis. PHILADELPHIA: ABST
	2019	Cantwell, Mair\'ead and Furlong, Br\'ona and Woods, Catherine and McCaffrey, Noel and Loughney, Lisa and Skelly, Fiona and McCarren, Andrew and Moyna, Niall (2019) The Long-term Effects Of A Physical Activity Behaviour Change Intervention On Cancer Survivors' Levels Of Depression, Fatigue And Mental Well-being: 928: Board\# 162 May 29 3: 30 PM-5: 00 PM. ABST
	2019	Cantwell, M;Furlong, B;Woods, C;McCaffrey, N;Loughney, L;Skelly, F;McCarren, A;Moyna, N (2019) American College of Sports Medicine. ABST
	2019	O’Brien, Kevin D and Kelly, Sarah M and Roantree, Mark and McCarren, Andrew and Furlong, Brona and Moyna, Niall M (2019) An Evaluation of the Irish Life Schools Fitness Challenge: 2983: Board\# 29 May 31 2: 00 PM-3: 30 PM. ABST
	2018	Mcdermott, Clare M and Mccormack, Ciara M and Kelly, Sarah M and Mccarren, Andrew and Moran, Kieran M and Moyna, Niall M (2018) Submaximal Oxygen Uptake Efficiency Slope as a Predictor of V [combining Dot Above] o2max in Men with Cardiovascular Disease: 1455 Board\# 263 May 31 9. ABST
	2018	Kelly, S., McCarren A., Reid A. (2018) Occupational Social Class and self-rated health. A cross-sectional study of older Irish adults from the Irish Longitudinal Study on Ageing. Occupational and Environmental Medicine: ABST [Link] http://dx.doi.org/10.1136/oemed-2018-ICOHabstracts.109

Professional Associations

	Association	Function	From / To
	Royal Statistical Society	Fellow	-

Employment

Employer	Position	From / To
Dublin City University	Senior Research Fellow	06/10/2014 - 31/12/2015
McCarren & Co Ltd	Managing Director	01/01/1999 - 01/01/2014
Intel Ireland	Senior Engineer/Statisitician	01/09/1997 - 31/12/1998
Quintiles Ireland	Senior Statistician	05/09/1994 - 28/09/1997

Education

	Start date	Institution	Qualification	Subject
		Dublin City University	PhD
		Dublin City University	BSc

Creative Outputs

	Year	Title	Type
	2021	Episode 9 of The Insight Podcast	Recording

Enterprise Engagement

Year	Engagement Type	Client	Description
2020	Consultancy	Kepak	Data analytics development and consultancy
2020	Consultancy	KCF	Data warehouse platform development
2019	Invited talk/presentation	Sulzar	PhD program
2018	Personnel Exchange	Flender	Consultancy on Fintech development process for Flender
2018	Consultancy	Fire	Analytics
2017	Other	MCR Agri Analytics Ltd	Director
2017	Consultancy	FBD	Insight Master Class
2017	Invited talk/presentation	Dawn Meats	Insight Master Class
2017	Consultancy	Show Off	Insight Master Class
2017	Invited talk/presentation	Manufacturing Conference of Ireland	Analytics in the Agri Sector
2016	Consultancy	Pallas Foods	Data Analytics Plan

Outreach Activities

Engagement Type	Organisation	Description
Other	Princess Nourah bint Abdulrahman University	Practicum coordinator for Princess Nourah bint Abdulrahman University
DCU in the Community	Cool Kids Competition	Judge for Cool Kids Competition
DCU in the Community	Cool Kids Competition	Cool Kids Competition

Research Interests

Andrew McCarren is an Assistant Professor in the DCU's School of Computing and is a funded investigator in both the Insight Centre for Data Analytics. He is also a collaborative investigator in Vista Milk and the Adapt Centre. Andrew's research interests are in the application of Data Analytics in the areas of Human Performance, Software Engineering, Fintech and Agtech.

Research Projects

Title	Role	Start date	End date
FSSA	Co-PI	05/03/2019	04/03/2022
Vista Milk	CI	01/10/2018	30/09/2025
Agri analytics Development	PI	01/10/2016	30/09/2020

Contract Researchers

	Researcher Name	Project	Funding Body
	Joe Boggan	Finaccai
	Fouad Bahrpeyma	Finaccai
	Shane O'Malley	Finaccai
	Rory Williams Doyle	Finaccai
	Hermanis Krasovskis	Finaccai
	Ronan Barker	Finaccai
	Stephen Broe	Finaccai
	Suzanne McCarthy	DATAS
	Conor O'Sullivan	DATAS
	Phuc Pham Huu	UPCOM
	Leonardo Gualano	UPCOM
	Satya Prakash	Vista Milk
	Oluwadurotimi Onibonoje	Vista Milk

Internal Collaborators

Type	Name	Company	Role
Internal	Prof Mark Roantree	faculty of engineering and computing	Academic
Internal	Prof Niall Moyna	DCU, School of Sport Science	Academic
Internal	Dr Paul Clarke	DCU, School of Computing	Academic

External Collaborators

Type	Name	Company	Role
External	Prof Grace Mulcahy	University College Dublin	Academic
External	Dr Sinead Sheirdan	The Chinese University of Hong Kong	Academic
External	Dr Bryan Cullen	Dublin GAA	Academic
External	Dr Chirstina Azodi	Michigan State University	Academic
External	Dr Declan Gamble	Sports Northern Ireland Sports Institute	Academic

Teaching Interests

I am a committed educationalist and see both my research, teaching, industry experience and collaborations as important vehicles to extend knowledge, development and understanding. As an educationalist, I nurture and lead students through their studies and I believe the learning cycle usually works best when students can apply their course work to real life examples. Where possible, I simulate real world environments through team work and continuous feedback. In the modern world of computer science and the augmented human, this helps students understand how they impact the world around them and as part of this process I continually re-enforce my four core pillars in the material I disseminate to my classes:

Introducing new concepts and how they link to other fields.
Team/Group work and team spirit.
Understanding the economic and social impact of learning and applying new technologies.
Understanding their role in the big picture.