photo_cv
Department
Département
Marketing
Teaching areas
Domaine d’enseignement
Marketing
Data Analytics
Big Data Management
AI for Business
Programming
Machine Learning
Business Intelligence
Research areas
Domaine de recherche
Marketing
Operations Research
Management Information Systems
Natural Language Processing
Large Language Models
Generative AI
eWOM communities
Misinformation & Disinformation
Online reviews
Skills
Marketing
Management
Information Systems Management
Computer Sciences
Biography
Biographie
José Carlos ROMERO MORENO holds a Ph.D. in Computer Science from the University of Malaga (Spain, 2022) and an MBA from the European Business School of Barcelona (Spain, 2022). He is an Assistant professor Artificial intelligence and data analytics for marketing at Audencia. Previously, he has worked as an external professor in different business schools. Also, he has worked as a Senior Data Scientist developing projects in close collaboration between academia and industry with international companies.
His research focuses on applications to Social Sciences and Marketing research of state-of-the-art Machine learning and Natural Language processing techniques, focusing on Large Language Models and Generative AI. His most recent publications cover topics such as improving recommender systems in eWOM communities, use of LLM to explore credibility and detection of fake online reviews, or evaluation of coherence in AI-generated text.
Section CV
Formation
Master of Business Administration, Business administration
European Business School of Barcelona, Barcelona
(2023)
Doctorate, Engineering,
University of Málaga, Málaga
(2022)
Master of Science, Engineering
University of Málaga, Málaga
(2017)
Bachelor of Science, Engineering
University of Málaga, Málaga
(2016)
Experience
Senior Data Scientist
University Paris Dauphine, Paris, France
2022 - 2024
Electronic Engineer
Aganova S.L. , Malaga, Spain
2016 - 2017
Software Engineer
Aremi Engineering , Malaga, Spain
2016 - 2016
Publications
Published
ROMERO MORENO, J. C., Olmedilla, M., Haikel-Elsabeh, M. (2024). What do my users want? Leveraging users insights to improve recommender systems in eWOM communities.. IEEE Engineering Management Review, 1-13.
ROMERO MORENO, J. C., Navarro, A., Rodríguez, A., Asenjo, R. (2023). SkyFlow: Heterogeneous streaming for skyline computation using FlowGraph and SYCL. Future Generation Computer Systems, 141, 269-283.
ROMERO MORENO, J. C., Navarro, A., Vilches, A., Rodríguez, A., Corbera, F., Asenjo, R. (2021). Efficient heterogeneous matrix profile on a CPU + High Performance FPGA with integrated HBM. Future Generation Computer Systems, 125, 10-23.
ROMERO MORENO, J. C., Vilches, A., Rodríguez, A., Navarro, A., Asenjo, R. (2020). ScrimpCo: scalable matrix profile on commodity heterogeneous processors. The Journal of Supercomputing, 76 (11), 9189-9210.
Professional conferences
ROMERO MORENO, J. C., OLMEDILLA, M., MARTÍNEZ-TORRES, R., TORAL, S. (2023). Applying Transformers-based NLP Models to Explore Credibility in Different Product Categories in Amazon’s online reviews..
ROMERO MORENO, J. C., OLMEDILLA, M., MARTÍNEZ-TORRES, R., TORAL, S. (2022). Applying NLP techniques to characterize what makes an online review trustworthy.
ROMERO MORENO, J. C., OLMEDILLA, M., HAIKEL-ELSABEH, M. (2022). A hybrid recommender system combining online review helpfulness and review positive sentiment to increase prediction accuracy.
ROMERO MORENO, J. C., MUÑOZ, F., VILCHES, A., NAVARRO, Á., RODRÍGUEZ, A., ASENJO, R. (2021). SkyFlow: Heterogeneous Streaming for Skyline computation using FlowGraph and oneAPI.
ROMERO MORENO, J. C., OLMEDILLA, M., HAIKEL-ELSABEH, M., DE SMEDT, J. (2020). Recommending products based on users' positive word-of-mouth by combining a word-embedding model, Kernel Principal Component Analysis and SVD++ Collaborative Filtering.
ROMERO MORENO, J. C., MUÑOZ, F., VILLEGAS, A., NAVARRO, Á., RODRÍGUEZ, A., ASENJO, R. (2019). OpenCL 2.0 Support for Intel TBB.
ROMERO MORENO, J. C., NAVARRO, Á., ASENJO, R., MURRAY, C. (2019). Time Series Heterogeneous Co-execution on CPU+ GPU.
ROMERO MORENO, J. C., NAVARRO, Á., RODRÍGUEZ, A., ASENJO, R. (2018). Time Series collaborative execution on CPU+ GPU chips.
ROMERO MORENO, J. C., VILLEGAS, A., NAVARRO, Á., RODRÍGUEZ, A., ASENJO, R. (2018). Leveraging the new OpenCL module for Intel TBB.
Scientific activities
Reviewer for an academic journal
Reviewer for Annals of Operations Research,
2024
Reviewer for Journal of business research,
2024
Reviewer for Journal of business research,
2024
Member of the scientific board of an academic association
Scientific Committee - CARMA2023,
2023
Awards and honors
Outstanding Paper Award - BigDaCi2024, 2024
Excelent Oral Presentation, 2020
Best Talk Award, 2018
Pre-doctoral Scholarship, 2018
Horizon 2020 - HPC-Europa3 Transnational Access Programme, 2018
Best Entrepreneurship project Award, 2017