Basic Info

I obtained my Electronics Engineering degree from the Metropolitan Autonomous University (Mexico) in 2011. I pursued advanced studies, earning a Master's degree in Microelectronics in 2013 and a Ph.D. with distinction in Communications and Electronics in 2018 from the Polytechnic National Institute (Mexico). During my academic journey, I 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. Following that, I was a postdoctoral researcher at Meiji University until March 2025. Currently, I am a staff scientist at the Okinawa Institute of Science and Technology, Japan, continuing my research contributions in the field.

Contact

Email: phd@hernandez-matamoros.com, andres.hernandez@oist.jp
You can find me on: Google Scholar, LinkedIn, ORCID, ResearchGate, Scopus, DBLP, ResearchMap, SciProfiles, Semantic Scholar, GitHub

Areas of Interest

Data Privacy, Machine Learning, Deep Learning, Image Processing, Anomaly Detection, Digital Signal Processing

Distinctions

National System of Researchers, Level 1 (Mexico-CONACyT) 01/01/2022-12/31/2024 Document in Spanish

Awards

• CSEC Outstanding Research Award, News at Meiji University

  Information Processing Society of Japan (IPSJ), Computer Security Research Group (CSEC)
  Date: October 2024
  Description: Awarded at the 106th Computer Security Research Meeting (CSEC) for the paper "Differentially Private Risk Factor Analysis for Polypharmacy" (Japanese), recognizing excellence in research on risk factor analysis with differential privacy.

Education

• 2014 - 2018. National Polytechnic Institute, Mexico City. Title of the Thesis: "Facial Expression Recognition", Ph.D. in Communications and Electronics (With Distinction). Slides

• 2011 - 2013. National Polytechnic Institute, Mexico City. Title of the Thesis: "Optimization and Application of Unsupervised Learning Algorithms" Master in Microelectronics Engineering.

• 2006 - 2011. Autonomous Metropolitan University, Mexico City. Electronic Engineer.

Research Stays

• University of Electro-Communications, Tokyo, Japan (April 2015 - March 2016). Recognition of facial expressions in the wild. Advisor Ph.D. Takayuki Nagai.

• Polytechnic of Milan, Milano, Italy (October 2012 - March 2013). Research was conducted on facial expressions using OpenCV to detect the face, followed by the proposal of a machine learning technique to recognize the facial regions. Advisor Ph.D. Andrea Bonarini.

Other Courses

Japanese University Studies in Science & Technology (JUSST) (April 2015 - March 2016).

Industry Experience

Senior Consultant in Artificial Intelligence at Praxis (Mexico) (April 2018 - December 2018). I kept in touch with all areas at Praxis to apply AI in areas such as big data, healthcare, finance, etc. I was responsible for creating white papers and advising customers on how to apply AI.

Academic Experience

• Staff Scientist @ Okinawa Institute of Science and Technology (April 2025 - ). Neural Computation Unit. Multimodal Biomarker Recognition Using Biomedical Signals from Wearable Devices

• Postdoctoral Stay @ Meiji University (March 2022 - March 2025). Kikuchi Lab. Research in data privacy which is part of the project "Anonymous healthcare cohort with the guarantee of data privacy and utility".

• Project Researcher @ The University of Tokyo (November 2020 - February 2022). Ocean Industrial Science, Technology & Environmental Relations Lab. Research in anomaly detection applying deep learning.

• Postdoctoral Stay @ Iwate Prefectural University (January 2019 - October 2020). Fujita Laboratory. Research in medical applications using deep learning.

Guest Editor

• Special Issue "Artificial Intelligence Technologies for Biomedicine and Healthcare Applications"

• Special Issue "Advanced Technologies in Intelligent Software Methodologies, Tools, and Techniques"

Organizing Chair

IEA/AIE 2027 Naples, Italy, IEA/AIE 2025 Kitakyushu, Japan, SoMeT 2021 Cancun, Mexico

Program Chair

SoMeT 2025 Kitakyushu, Japan, SoMeT 2024 Cancun, Mexico, IEA/AIE 2024 Hradec Kralove, Czech Republic

Publicity Chair

SoMeT 2026 Kuala Lumpur, Malaysia, IEA-AIE 2026 Kuala Lumpur, Malaysia, SoMeT 2020 Kitakyushu, Japan

Reviewer

Conferences: SoMeT 2017, SoMeT 2019, SoMeT 2020, SoMeT 2021, SoMeT 2022, SoMeT 2023, IEA/AIE 2024, SoMeT 2024, IEA/AIE 2025, SoMeT 2025, IEA/AIE 2026, SoMeT 2026, IEA/AIE 2027

Journals: Scientific Reports, Knowledge-Based Systems, Applied Intelligence, Array, Sensors, Electronics, Mathematics, Micromachines, IJERPH, SPE, Computational and Structural Biotechnology Journal

Part-time Professor

• Inner Mongolia University of Technology (IMUT) (December 2023)

• National Autonomous University of Mexico (July 2017 - December 2018)

• Autonomous Metropolitan University (September 2017 - March 2018)

• UNITEC (May 2016 - August 2016)

• Autonomous University of Mexico City (August 2014 - December 2014)

• Technological School of Mexico (August 2013 - July 2014)

Teaching Assistant

• Iwate Prefectural University (April 2019 - September 2020)

Invited Speaker

Webinar Medical Big Data - Machine Learning 2023/March/31. Certificate

International Congress of Geoeconomic Engineering, How to create synthetic biomedical signals using artificial neural networks. 2022/October/25. Certificate [Spanish]

Journal Publications

Books

Conference Publications (Refereed)

Conference Publications (Non-refereed)

Preprints

Projects

• Automatic segmentation of the forehead, eyes, and mouth regions Video
• Facial Expression Recognition Video
• Skin detection
• Recognition of ECG Signals
• Creating synthetic biomedical signals
• Forecasting of Covid-19
• Anomaly Detection
• Data Privacy using VAE

Grants Representative

• International Grant 740553, CONACYT Mexico
  2019/11 - 2020/10, Deep Learning in Medical applications.
• International Grant 711243, CONACYT Mexico
  2018/11 - 2019/10, Deep Learning in Medical applications.
• National Grant program 379419, CONACYT Mexico
  2014/01 - 2017/12, Facial Expression Recognition.
• National Grant program 319796, CONACYT Mexico
  2014/01 - 2018/01, Optimization and Application of Unsupervised Learning Algorithms.

Grants Collaborator

• Titular Hamido Fujita Kakenhi: 20K11955 基金 2020年度 基盤研究(C)
  2020/04 - 2024/04
  Healthcare Risk Prediction on Data Streams Employing Cross Ensemble Deep Learning. Information

Membership

Former member of the Information Processing Society of Japan (IPSJ) Document in Japanese

Languages

English: spoken 90%, written 90%
Italian: spoken 25%, written 25%
Japanese: spoken 35%, written 10%
Spanish: Native/Mother tongue

Skills

• Technical Skills: Statistics, Machine Learning, Deep Learning, Model Deployment, Data Manipulation and Analysis.
• Programming Skills: Proficient in Python (Pandas, Matplotlib, Scikit-learn, Keras, TensorFlow, PyTorch), Matlab, and C/C++ (Code::Blocks, Dev-C++, Visual Studio).
• Soft Skills: Excellent Communication, Structured Thinking, Problem-Solving, and Curiosity-Driven Learning.

Software Proficiency

• Operating Systems: Windows, Linux, macOS.
• Development Tools: Simulink, Anaconda, OpenCV, System Generator, ISE 6.1 Xilinx, Nallatech FUSE, AVR Studio, Pony Prog.
• Office Tools: Microsoft Office Suite.

Hardware Experience

• FPGA Platforms: Virtex-II, Spartan-3.
• Microcontrollers: Extensive hands-on experience with various models.
• Test Equipment: Spectrum Analyzers, Oscilloscopes, Function Generators.

Interview

My Journey in AI Research: Living in Iwate, Japan.
I'm Andres Hernandez-Matamoros, a researcher in artificial intelligence, and I'd like to share my experiences living in Iwate, Japan. My work initially focused on AI systems that analyze human emotions, but now I develop technology to detect early signs of heart attacks.

When I first arrived in Japan, I was struck by the cultural contrasts and unique aspects of daily life. One of the most interesting comparisons I've made is between Mexico's "Day of the Dead" and Japan's Obon festival—both deeply meaningful but celebrated in different ways.

Living abroad has broadened my perspective and deepened my appreciation for my home country. In this interview, I reflect on my journey, the challenges and rewards of working in Japan, and how these experiences have shaped me both professionally and personally.

Read the full interview to learn more

Personal & Professional References

Upon Request