Andrew Mccarren

Dr.

Profile Photo
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
Certain data included herein are derived from the © Web of Science (2022) of Clarivate. All rights reserved.

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

Year 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 Description 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.