I have a degree in Electronics Engineering from the Metropolitan Autonomous University in Mexico, which I obtained in 2011. I pursued advanced studies, earning a Master's degree in Microelectronics in 2013 and a Ph.D. in Communications and Electronics in 2018, the latter with distinction from the Polytechnic National Institute in Mexico. During my academic journey, I have participated in several international research opportunities. From 2012 to 2013, I conducted research at the Politecnico di Milano in Italy. Later, as part of the JUSST program, I spent a year (2015-2016) at the University of Electro-Communications in Tokyo, Japan. In 2019-2020, I completed a postdoctoral fellowship at Iwate Prefectural University, Japan. I then worked as a project researcher at the University of Tokyo from 2020-2022, where I developed anomaly detection systems using deep learning techniques. Most recently, I was a postdoctoral researcher at Meiji University until March 2025. Full CV
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Local Differential Privacy (LDP) faces major challenges with high-dimensional, correlated healthcare and smartwatch data. To address this, we leverage Bayesian Ridge Regression for improved handling of highly correlated attributes, outperforming standard methods like LOPUB and LOCOP. Prof. Kikuchi introduces “Castell,” an approach that refines data perturbation and aggregation, enabling accurate joint probability estimation. Experimental results confirm Castell’s enhanced privacy safeguards and data utility, marking a notable advancement in privacy-safe analytics.
[Link]We propose a real-time stuck-prediction approach using autoencoder-based models. By tracking anomalies through elevated reconstruction errors, this method identifies warning signs earlier and more accurately than earlier supervised approaches, improving overall system reliability.
[Link]This project introduces a Bidirectional Recurrent Neural Network with an added statistical stage to generate five types of synthetic biomedical signals (ECG, EEG, BCG, PPG, and respiratory impedance). Our approach addresses data scarcity challenges and outperforms GAN-based techniques by producing highly accurate, event-specific synthetic data crucial for medical diagnoses.
[Link]We developed a region-based ARIMA model to predict COVID-19 spread across six global regions by incorporating population data. The model achieves an average RMSE of 144.81, highlighting its accuracy and potential. Future improvements may include other variables such as climate factors and cultural differences for even more precise predictions.
[Link]Our system automatically detects a face, segments it into forehead/eyes and mouth regions, and then divides each region into blocks. We extract Gabor-based features and reduce them via PCA, classifying with a fuzzy clustering approach. The system achieves about 97% accuracy using only one region, and up to 99% when both are used, remaining robust even when one region is occluded.
[Link]J8
Andres Hernandez-Matamoros, Hiroaki Kikuchi,
Appl. Sci. 2024, 14, 2864. [Link]
B2
Fujita, H., Cimler, R., Hernandez-Matamoros A., & Ali, M. (Eds.). (2024).
Springer Singapore
B1
Fujita, H., Pérez Meana, H. M., Hernandez-Matamoros A. (Eds.). (2024).
IOS Press
C13
Galicia, E.S., A. Hernandez-Matamoros, Miyara, A., 2024.
"Prediction of heat transfer coefficient and pressure drop of flow boiling and condensation using machine learning"
Journal of Physics: Conference Series
C12
A. Hernandez-Matamoros, Hiroaki Kikuchi
SoMeT 2024: 398-411, ISBN 978-1-64368-538-0.
[Link]
C11
Galicia, E.S., A. Hernandez-Matamoros, Miyara, A.
SoMeT 2024: 235-248, ISBN 978-1-64368-538-0.
[Link]
C10
A. Hernandez-Matamoros, H. Kikuchi, presented at SocialSec 2024.
[Link]
J7
Vazquez Santiago, J., Jaimes Palomera, M., Resendiz Martinez, C., A. Hernandez-Matamoros, et al.
Science of The Total Environment, 2023, 169180,
[Link]
C9
A. Hernandez-Matamoros, Kikuchi, H. (2023),
In: Li, S., Manulis, M., Miyaji, A. (eds) Network and System Security. NSS 2023, LNCS 13983.
[Link]
C8
A. Hernandez-Matamoros and H. Kikuchi,
2023 20th Annual Int. Conference on Privacy, Security & Trust (PST), Copenhagen, Denmark, 2023.
[Link]
IT1
How to create synthetic biomedical signals using artificial neural networks. 2022/October/25
Event Details |
Video |
Certificate [Spanish]
https://www.youtube.com/live/sefPhcfxUrI?si=-Cf4VvkzLB33Y2iX&t=238
C7
Kikuchi, H., Miyoshi, S., Mori, T., A. Hernandez-Matamoros,
2022 19th Annual Int. Conference on Privacy, Security & Trust (PST), Fredericton, Canada.
[Link]
J6
T. Hayashi, H. Fujita, A. Hernandez-Matamoros,
Information Sciences, Volume 560, Pages 217-234, 06-2021,
[Link]
J4
A. Hernandez-Matamoros, Fujita, H., Nakano-Miyatake, M. et al.
Journal Biocybernetics and Biomedical Engineering, Volume 40, Issue 2, (04-2020).
[Link]
J5
A. Hernandez-Matamoros, Fujita, H., & Perez-Meana, H.
Information Sciences, Volume 541, Pages 218-241, (12-2020).
[Link]
J3
A. Hernandez-Matamoros, Toshitaka H., Fujita, H., Perez-Meana, H.
Applied Soft Computing, Volume 96, 11-2020, ISSN 1568-4946.
[Link]
C6
A. Hernandez-Matamoros, Fujita, H., Perez-Meana, H.
SoMeT 2020, Frontiers in Artificial Intelligence and Applications; Volume 327.
[Link]
J2
Hernandez-Matamoros, A., Fujita, H., Nakano-Miyatake, M. et al.
J. Ambient Intell Human Comput, 11, 2859-2870 (07-2019).
[Link]
C5
A. Hernandez-Matamoros, Fujita, H., Nakano, M., Perez-Meana, H., & Hernandez-Escamilla E.(2019)
SoMeT 2019, Frontiers in Artificial Intelligence and Applications; Vol. 318.
[Link]
C4
A. Hernandez-Matamoros, T. Nagai, M. Attamimi, H. Perez-Meana
SoMeT 2017, (Frontiers in AI and Applications; Vol. 297, pages 525-538).
[Link]
J1
Andres Hernandez-Matamoros, Andrea Bonarini, E. Escamilla-Hernandez,
Mariko NakanoMiyatake, Hector Perez-Meana,
Knowledge-Based Systems, (2016), ISSN 0950-7051.
[Link]
C3
A. Hernandez-Matamoros, A. Bonarini, E. Escamilla-Hernandez, M. Nakano-Miyatake, H. Perez-Meana,
SoMet 2015, Naples, Italy, LNCS 529-540, ISBN 978-3-319-22689-7.
[Link]
C2
A. Hernandez-Matamoros, E. Escamilla-Hernandez, K. Perez-Daniel, M. Nakano-Miyatake, H. Perez-Meana,
CONCAPAN XXXIV, IEEE, Panama City, 2014.
[Link]
C1
A. Hernandez Gerardo, H. M. Perez Meana, E. Escamilla Hernandez,
9th International Congress Technological Trends in Computation, 2013,
indexed to the journal Research in Computer Science, Vol. 69,
[PDF] | RCS