José Carlos Romero Moreno

Training and Experience:

• Research Assistant at the University of Málaga, Spain. (2017-2022)
• PhD in Computer Sciences by the University of Málaga, Spain. Pre-doctoral Scholarship funded by Spanish Ministry of Education (FPI). (2018-2022)
• Double Degree Program: MBA & Master in Big Data and Business Intelligence (120 ECTS, 2020-2022) by the ENEB (European Business School of Barcelona, Spain).
• Sc. Mechatronics Engineering (60 ECTS, 2016-2017) and B. Sc. Industrial Engineering (240 ECTS, 2010-2016) by the University of Málaga. Master and Bachelor Thesis with honours.

Methodologies:

• Heterogeneous and Parallel programming: CPU, GPU, FPGA.
• Algorithms Optimizations.
• Time Series optimization, discovery, and forecasting. Optimizing the Skyline Operator.
• High Performance computing: Distributed computing, Cloud Servers, Supercomputers.
• Machine Learning: Natural Language Processing, Recommender Systems, Neural Networks, Deep learning.

Programming Languages and databases:

• Programming languages: C, C++, Python (Pandas, TensorFlow, Keras, PyTorch, Scikit-learn).
• High Performance Computing: oneTBB, OpenMP, OpenCL, oneAPI, SYCL, CUDA, MPI.
• Databases: SQL

Publications:

• Romero J.C., Navarro A., Rodríguez, A., Asenjo, R. (2021). SkyFlow: Heterogeneous Streaming for Skyline computation using FlowGraph and SYCL. Future Generation Computer Systems. (JCR Q1, 7.307 I.F)
• Romero 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. (JCR Q1, 7.187 I.F)
• Romero, J.C., Vilches A., Rodríguez A., Navarro A., Asenjo R. (2020) ScrimpCo: scalable matrix profile on commodity heterogeneous processors, Journal of Supercomputing (JCR Q2).

• Romero, J.C., Muñoz F., Vilches A., Navarro, A., Rodríguez, A., Asenjo, R. (2021) SkyFlow: Heterogeneous Streaming for Skyline computation using FlowGraph and oneAPI. VI National Congress of Informatics (CEDI 2021).
• Romero J.C., Olmedilla, M., Martínez-Torres, MR, Toral, S. (2022). Applying NLP techniques to characterize what makes an online review trustworthy, Internet and Big Data in Economics and Social Sciences, CARMA2022. Valencia, Spain.
• Olmedilla, M., Haikel-Elsabeh, Romero J.C. (2022) A hybrid recommender system combining online review helpfulness and review positive sentiment to increase prediction accuracy, 6th International Conference on Information System and Data Mining, ICISDM2022. Silicon Valley, USA.
• Olmedilla, M., Haikel-Elsabeh M., De Smedt J., Perrais T., Romero J.C. (2020). Recommending products based on users’ positive word-of-mouth by combining a word-embedding model, Kernel Principal Component Analysis and SVD++ Collaborative Filtering, 4^th International Conference on Information System and Data Mining (ICISDM2020). Hawaii, USA.