José Alberto Hernández completed the five-year degree in Telecommunications Engineering at Universidad Carlos III de Madrid (Madrid, Spain) in 2002, and the Ph.D. degree in Computer Science at Loughborough University (Leics, United Kingdom) in 2005. Between 2005 and 2009, he was a postdoctoral researcher and teaching assistant at Universidad Autónoma de Madrid, where he participated in a number of both National and European research projects concerning the modeling and performance evaluation of communication networks, optical WDM networks and energy efficiency in computer communications.

At present, José Alberto Hernández is a Senior Lecturer at Universidad Carlos III de Madrid, he has published more than 80 scientific articles in well-known journals and conference proceedings, including IEEE Network, IEEE Communications Magazine, IEEE J. Selected Areas in Communications, IEEE Internet Computing, etc. He has also participated in many National and European research projects related with his main research interestes, namely Optical WDM Networks, IP over WDM, Metro Ethernet, Next-Generation Optical Access networks, Energy Efficiency in communications and Optical Transport of 5G networks.

In 2021, Dr. Hernández obtained the ANECA Accreditation for Full Professor.

In addition, Dr. Hernández has published the book: "Probabilistic models for computer networks: tools and solved problems" and is preparing a new version of book "Una introducción amable a la teoría de colas" (in Spanish), both with Pablo Serrano.

• Master course in Telematics Engineering:
• Broadband networks (2009/10, 2010/11, 2011/12, 2016/17, 2017/18, 2018/19).
• Performance evaluation of networks (2012/13 , 2013/14, 2014/15, 2015/16, 2016/17, 2017/18, 2018/19).
• Network complexity analysis (2012/13, 2013/14, 2014/15, 2015/16, 2016/17, 2017/18, 2018/19).
• Simulation of networks and telematics applications (2013/14, 2014/15).
  
• Master course in Telecommunication Engineering:
• Optical networks (2012/13, 2013/14, 2015/16).
  
• Bachelor's Degree in Telematics Engineering:
• Theory of networks (2009/10, 2010/11, 2011/12, 2012/13 , 2013/14, 2014/15, 2015/16, 2016/17, 2017/18, 2018/19).
• Online book, lab1, lab2, lab3, lab4
  
• Telecommunication Engineering:
• Broadband networks (2012/13)

• ACHILLES
  
• TAPIR
• ITACA
• Entrudit
  
• B5G-OPEN
  
• Metrohaul
  
• PASSION
• BlueSpace
• Int5Gent
  

• TEXEO
  
• 5G-Crosshaul
• TIGRE5-CM
• Elastic Networks
• BONE
• MyUI
• INDECT
  
• ePhoton/ONE+
  

Some recent publications:

1. I. Martín, J. A. Hernández: "Clonespot: Fast detection of Android repackages", Future Generation of Computer Systems, 2019.
   
2. J. A. Hernández, R. Sánchez, I. Martín, D. Larrabeiti: "Meeting the traffic requirements of residential users for the next decade with current FTTH standards: how much? how long?", IEEE Communications Magazine, in press
   
3. I. Úcar, J. A. Hernández, P. Serrano, A. Azcorra: "Design and analysis of 5G scenarios with simmer: an R package for fast DES prototyping", IEEE Communications Magazine 56(11), pp. 145-151, 2018.
   
4.  G. Otero, J. A. Hernández, D. Larrabeiti: Fronthaul network modeling and dimensioning meetring ultra-low latency requirements for 5G, IEEE/OSA J. Optical Comms & Networking 10(6), pp. 573-581, 2018.
5. R Sánchez, J. A. Hernández, D. Larrabeiti: Network planning for dual residential-business exploitation of Next-Generation Passive Optical Networks to provide 1 Gb/s symmetrical services, IEEE/OSA J. Optical Communications and Networking 8(4), pp. 249-262, 2016.
   
6. R Sánchez, J. A. Hernández, J. Moltalvo-García, D. Larrabeiti: Provisioning 1 Gb/s symmetrical services with Next-Generation Passive Optical Networks, IEEE Communications Magazine 54(2), pp. 72-77, 2016.
   
7. A. de la Oliva, J. A. Hernández, D. Larrabeiti, A. Azcorra: An overview of the CPRI specification and its application to C-RAN based LTE scenarios, IEEE Communications Magazine 54(2), pp. 152-159, 2016.

J. A. Hernández, P. Serrano: Probabilistic models for computer networks: tools and solved problems, 2013 (ISBN: 978-1291546873) (Lulu.com, Amazon.es)

Probabilistic models for computer networks: Tools and solved problems overviews the main probabilistic tools and theory used in the performance analysis and modelling of modern computer networks and communication systems.
With over one hundred examples and solved problems, the reader will be introduced to Poisson processes, Markov chains and queueing theory in an intuitive manner. Important theorems and tools are followed by easy network-based examples, showing the reader their applicability in real scenarios.
This book is highly recommended for students in their final years of a degree in engineering, and for Ph.D. students willing to strengthen their skills in the evaluation of network performance.

 spanish version