José R. Martí, Professor

 

Ph.D., FIEEE, FCAE, PEng

Dept. of Electrical & Computer Engineering

The University of British Columbia

2356 Main Mall

Vancouver, B.C. Canada V6T 1Z4

Tel. +1-604-822-2354

Email: jrms@ece.ubc.ca

Research Lab: Complex Systems Integration Laboratory, Institute for Computing, Information and Cognitive Systems (ICICS) X009

© May 2021

Fellow, Institute of Electrical and Electronics Engineers

Fellow, Canadian Academy of Engineering

Professional Engineer, EGBC

PhD, The University of British Columbia, Canada. Supervisor: Hermann W. Dommel

Master in Electric Power Engineering, Rensselaer Polytechnic Institute, New York. Supervisor: Allan N. Greenwood

Power Systems, Critical Infrastructures

Real time, network partitioning, parallel processing, hybrid solutions, fast, mid-term, and long-term power system dynamics, resilience of critical infrastructures, wave propagation, discrete-time and frequency domain analysis, minimum-phase model-based machine learning

Current Courses

    ELEC453 Power Systems Analysis I

    ELEC454 Power Systems Analysis II

    EECE560 Network Analysis and Simulation

Current Projects

    Development of a multirate hybrid simulator for power systems combining SFA and EMTP subsystems.

    Incorporating robustness and resilience in the design of the next generation of maritime vessels.

    Wave models for hydraulic pipes in hydro-generator penstocks and for earthquake early-warning systems.

    Collocated charge/current multiconductor transmission line equations to solve the inconsistencies of the classical model.

    AI agent training using minimum-phase-shift deep neural networks (mDNN) for time-delayed systems.

    Model-based machine learning (MBML) for wave propagation prediction in earthquake early warning systems.

    Dense network of sensors over 5G for earthquake early warning prediction in smart cities.

Current Research Interests

    Real time solutions of large power system networks. Network partitioning. Hybrid solutions. Simultaneous time-varying phasors (SFA) and EMTP solutions. Multirate systems.

    Accuracy of discrete-time solutions in time and frequency domains.

    System of system solutions. Interdependent critical infrastructures (CI). Real-time synchronization. Robustness and restoration.

    Transmission lines modelling. Frequency dependence modelling. Improved wave propagation models for power transmission lines, hydraulic pipes, and earthquake propagation.

    Real time synchronization of sensor networks. Applications to environmental sensing and earthquake early warning.

Research Contributions

    JMARTI (fdLine) frequency dependent line model. The model is widely used for fast transients analysis in power systems.

    Critical Damping Adjustment (CDA) algorithm. Allows the discretized simulation of power electronics and other switching operations without numerical oscillations.

    Multi-area Thévenin Equivalents (MATE) algorithm. Partitions a large system into subsystems that can be solved with different modelling frameworks and different discretization steps.

    Parallel processing of large networks using MATE. Computational efficiency increases linearly with the number of processors.

    Wide-band linear power flow (LPF) solution for power distribution systems. LPF integration with linear optimizers for real time operation control with voltage and frequency dependent loads.

    Shifted Frequency Analysis (SFA) algorithm. SFA models AC-phasors as magnitude and phase variant using standard EMTP discretization.

    Integration of MATE, SFA, and EMTP solutions for hybrid multirate networks. Application to AC power grids with extensive penetration of converter-based renewable generation.

    Infrastructures Interdependencies Simulator (i2SIM) for integration of multiple critical infrastructures (CI) in a common solution framework.

    Robustness and resilience of CI systems for large disaster events.

    Soft-Hard Optimal Convergence (SHOC) framework. SHOC uses off-line AI training (Soft) and real time (Hard) solutions for optimizing the response to large scenarios involving a large number of random events.

    The EQZ generalized wave propagation model for electrical, hydraulic, and earthquake waves.

    Asynchronous sensor coordination (ASC) for mapping very dense networks of sensors over 5G. ASC is used to develop EQZ models for real-time prediction of waves propagation before these waves reach vulnerable points.

My Personal Philosophy

    I believe that the pursuit of knowledge brings happiness.

    My students and I form a closely-knit group of learners where everybody is equal and free to express their beliefs, ideas, and opinions. We talk openly without fear because there is no fear in knowledge. However, we expect rigorous critical thinking from each other because knowledge has to be robust to be enduring.

    The students listed below are my extended family, growing over the years. We are very closely intertwined by our countless hours in pursue of enlightenment.

Graduate Students

Akshay Viswakumar, MEng

Andrew Schosser, MEng

Natalia Boas, MASc

Ivelina Daiss, MASc

Ravi Mutukutti, PhD

Alireza Taale, PhD

Ehsan Ghahremani, MASc

Javier Tarazona, PhD

Yang Zejun, PhD 2020

César López, PhD 2019

Khaled Alutaibi, PhD 2017

Arash Tavighi, PhD 2017

Mohammad Ghasemi, PhD 2016

George Liang, MASc 2016

Abdullah Alsubaie, PhD 2016

Nafiseh Nikpour, PhD 2016

Verónica Galván, PhD 2016

Zemeng Wang, MASc 2016

Shima Shojae, MASc 2013

Hamed Ahmadi, PhD 2015

Atefeh Palizban, MASc 2015

Mohammed Khouj, PhD 2014

Justin Wang, MASc 2013

William Wang, MASc 2012

Ming Bai, MASc 2012

Benjamin Braconnier, MASc 2010

César López, MASc 2011

Ren Rui, MASc 2011

Sharhzad Rostamirad, MASc 2011

Hugón Juárez, PhD 2010

HyunJung Lee, MASc 2010

Tom De Rybel, PhD 2010

Abdur Hafiz, PhD 2009

Marcelo Tomin, PhD 2009

Max Vargas, MASc 2009

Mao De Tao, MASc 2009

Peng Zhang, PhD 2009

Arvind Singh, PhD 2009

Michael Wrinch, PhD 2008

Kelvin Foo, MASc 2008

Lu Liu, MASc 2007

Mazana Lukic Armstrong, PhD 2006

Arvind Singh, MASc 2006

Jorge Hollman, PhD 2006

Michael Manarovici, MASc 2005

Tom De Rybel, MASc 2005

Jack Chang, MASc 2004

Khosro Kabiri, PhD 2004

Qiaoshu Jiang, MASc 2004

Hao Qi, MASc 2003

Jesús Calviño, PhD 2003

Fernando Moreira, PhD 2002

Ting-Chung Yu, PhD 2001

Richard Rivas, PhD 2001

Mazana Lukic Armstrong, MASc 2000

Luis Linares, PhD 2000

Paloma De Arizón, PhD 2000

Jorge Hollman, MASc 1999

Jesús Calviño, MASc 1999

Dai Nan, MASc 1999

Louie Kwo-Wai, PhD 1999

Salvador Acevedo, PhD 1997

Roberto Rosales, MASc 1997

Fernando Castellanos, PhD 1997

Huyen Van Nguyen, PhD 1996

Thornley Myers, MASc 1995

Qing Wang, MASc 1995

Suthep Chimklai, PhD 1995

Antonio Araujo, PhD 1993

DanHong Zhou, PhD 1993

Luis Linares, MASc 1993

Brian Perkins, MASc 1993

Wilsun Xu, PhD 1992

Mehrdad Kashani, MASc 1992

Hong Ma, MASc 1991