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19th Mexican International Conference on Artificial Intelligence

October 12 to 17 • Mexico City, Mexico

Universidad Panamericana


Free access for all activities

Access MICAI 2020 via Facebook (without registration)

Access MICAI 2020 via YouTube (without registration)

Given the current contingence because of COVID, the Conference Committee
decided to move MICAI 2020 to a virtual modality.
The safety and health of the participants is a priority.
Also, due to this situation, the conference registration fee for each paper was reduced to
$2,000.00 MXN or $100.00 USD.



Springer LNAI; RCS and invitation to special issue of journal: Applied Sciences (JCR Q2, Impact Factor 2.474).
A reduced number of selected papers will be published in Computación y Sistemas and Polibits.

MICAI 2020 Proceedings Vol. 1 (LNAI 12468)
MICAI 2020 Proceedings Vol. 2 (LNAI 12469)

Keynote speakers: Ljiljana Trajkovic, Pedro Larrañaga, Manuel Morales, Soujanya Poria, Hiram Calvo and Mario Köppen.

Collocated: Workshops / Call for Workshops, Tutorials/ Call for Tutorials, Doctoral Consortium/Call for Doctoral Consortium

 Palacio de Bellas Artes



General Information

MICAI was characterized by Springer as premier conference in Artificial Intelligence. It is a high-level peer-reviewed international conference covering all areas of Artificial Intelligence, traditionally held in Mexico. The conference is organized by the Mexican Society for Artificial Intelligence (SMIA) and hosted by Universidad Panamericana at Mexico City, Mexico. The scientific program includes keynote lectures, paper presentations, tutorials, panels, and workshops.

All previous editions of MICAI were published in Springer LNAI (WoS, Scopus, EI). At past MICAI events, extended versions of a considerable number of the LNAI papers were invited to special issues of journals, including ISI JCR-indexed journals; see for example a special issue on MICAI of Expert Systems with Applications. Recent MICAI events received over 300–400 submissions from over 40 countries each, with acceptance rate around 25% for the main session.

Publication: Papers accepted for long oral presentation will be published by Springer in a volume of the series Lecture Notes in Artificial Intelligence (LNAI). Best papers awards will be granted to the 1st, 2nd and 3rd places. Special issues of journals are anticipated for best papers. Extended versions of selected papers are expected to be invited to special issues of journals, including ISI JCR-indexed journals. Traditionally at MICAI, the results of the SMIA Best Thesis in Artificial Intelligence Contest are announced.

Important Dates

Deadline extension: July 24


July 24, 2020  

Uploading of full text of registered papers for blind review.

July 31, 2020



August 14, 2020


Camera-ready and payment deadlines for LNAI papers only


Publication Camera ready deadline
LNAI August 14
CyS August 23, to be published in September 2020
CyS November 13, to be published in December 2020
RCS August 30
Polibits August 30 (contact the editor if you need more time)


Keynote Speakers

Ljiljana Trajkovic is a Professor in the School of Engineering Science at Simon Fraser University, Burnaby, British Columbia, Canada.

Machine Learning Techniques for Detecting Network Anomalies

Abstract: The Internet, social networks, power grids, gene regulatory networks, neuronal systems, food webs, social systems, and networks emanating from augmented and virtual reality platforms are all examples of complex networks. Collection and analysis of data from these networks is essential for their understanding. Traffic traces collected from various deployed communication networks and the Internet have been used to characterize and model network traffic, analyze network topologies, and classify network anomalies. Data mining and statistical analysis of network data have been employed to determine traffic loads, analyze patterns of users' behavior, and predict future network traffic while spectral graph theory has been applied to analyze network topologies and capture historical trends in their development. Machine learning techniques have proved valuable for predicting anomalous traffic behavior and for classifying anomalies and intrusions in communication networks. Applications of these tools help understand the underlying mechanisms that affect behavior, performance, and security of computer networks.

Bio: She received the Ph.D. degree in electrical engineering from the University of California at Los Angeles. Her research interests include high-performance communication networks, control of communication systems, computer-aided circuit analysis, and design, and theory of nonlinear circuits and dynamical systems.

Dr. Trajkovic serves as IEEE Division X Delegate/Director (2019–2020). She served as Senior Past President (2018–2019) of the IEEE Systems, Man, and Cybernetics Society and as 2007 President of the IEEE Circuits and Systems Society.

Dr. Trajkovic is a Distinguished Lecturer of the IEEE Systems, Man, and Cybernetics Society (2020–2021). She is a Life Fellow of the IEEE.


Pedro Larrañaga, Technical University of Madrid, UPM, España.

Bayesian Networks in Neuroscience

Abstract: During the talk, the recent use of Bayesian networks in challenging real world applications developed inside the Human Brain Project will be presented. These neuroscience applications will cover problems at different scales: from neuroanatomy questions, such as interneuron classification and spine clustering, to diagnosis of neurodegenerative Parkinson and Alzheimer diseases.

Bio: Pedro Larrañaga is Full Professor in Computer Science and Artificial Intelligence at the Technical University of Madrid (UPM) since 2007. He received the MSc degree in mathematics (statistics) from the University of Valladolid and the PhD degree in computer science from the University of the Basque Country.

He has published more than 200 papers in high impact factor journals and has supervised 31 PhD theses. He is fellow of the European Association for Artificial Intelligence since 2012 and fellow of the Academia Europaea since 2018. He has been awarded the 2013 Spanish National Prize in Computer Science, the prize of the Spanish Association for Artificial Intelligence in 2018 and the Amity Research Award in Machine Learning in New Delhi, in 2020.

His research interests are primarily in the areas of probabilistic graphical models, metaheuristics for optimization, data mining, classification models, and real applications, like biomedicine, bioinformatics, neuroscience, industry 4.0 and sports.

Manuel Morales, University of Montreal, Canadá.

The role of artificial intelligence in the transformation of the banking sector

Abstract: In the past ten years, we have witnessed the evolution of the concept of artificial intelligence towards a concept that has captured the collective imagination with its promises of transformation. Machine learning and its flagship applications: Alpha Go, the autonomous car, image recognition, machine translation, etc., have created expectations in terms of the transformative potential of certain sectors of economic activity. Historically, the banking sector has been a kind of ocean liner that has struggled to change direction. In terms of technological innovation, banks have been overtaken by the fintech ecosystem in terms of agility. As banks try to catch up, it's important to take a hard look at the promise of artificial intelligence and what it means for the banking industry. In this presentation, we will discuss the transformation potential that artificial intelligence brings to the sector, but also the challenges that this transformation represents. We will discuss these questions around some examples of the application of machine learning in banking and capital markets.

Bio: He holds a Ph.D. on Statistics from Concordia University. He held a position as an Assistant Professor at York University in Toronto from where he moved to Montreal where he is a professor in mathematics at the University of Montreal since 2005. He serves on the Board of Directors of Koïos Intelligence and as scientific advisor of Kapitalwise, two emerging companies in the field of AI in finance and insurance.

He is an experienced scientist and leader in the field of Artificial Intelligence in banking who often gets called upon for his knowledge and experience in creating business value through AI. He has experience in accompanying businesses through their digital transformation. Based on his scientific expertise, he seizes the threads of opportunity that wind through an organization and helps transform them into value propositions, He remains a member of the scientific community which gives him a valuable perspective and credibility as he links up and aligns technical data science teams with product owners/managers into a coherent AI transformation strategy.

As Chief AI Scientist at National Bank of Canada, the sixth largest commercial bank in Canada, Manuel oversaw the scientific component of the AI transformation initiative of twenty billion dollar plus banking institution.He successfully contributed to the strategy and operationalization of an ambitious initiative that seeks to transform the bank’s processes and services through artificial intelligence. In particular, his involvement in the worldwide discussion on AI Ethics and his commitment with responsible AI deployments gives him a unique perspective that has become an asset for the ongoing AI transformation initiative since a comprehensive AI governance and ethics remain key to successful deployments. His work with National Bank was featured in an interview piece in Forbes on-line magazine in May 2020.

He continues to conduct his research and teaching activities at the University of Montreal where he is the director of the FinML network, whose mandate is to train the next AI-enabled generation of finance and banking professionals. He has also established himself as a well- known presence in the Montreal FinTech ecosystem where he is a scientific advisor of the Holt Accelerator, one of the leading accelerators in Montreal targeting seed start-up’s, as well as one co-founder of the OCF Group, a venture building group that leverages Montreal AI talent in order to help start-up’s to go from series A to series B through machine learning technology. He is regularly called upon deliver talks and share his experience on AI transformation in banking and on AI Ethics and Governance in Finance as well as to organize tailored executive workshops for financial institutions engaged in their own AI transformation initiative.


Soujanya Poria, Singapore University of Technology and Design, Singapore.

Utterance-level Dialogue Understanding

Abstract: The recent abundance of conversational data on the Web and elsewhere calls for effective NLP systems for dialog understanding. Complete utterance-level understanding often requires context understanding, defined by nearby utterances. In recent years, a number of approaches have been proposed for various utterance-level dialogue understanding tasks. Most of these approaches account for the context for effective understanding. In this talk, I will explore and quantify the role of context for different aspects of a dialogue, namely emotion, intent, and dialogue act identification, using state-of-the-art dialog understanding methods as baselines. Specifically, I will discuss various perturbations to distort the context of a given utterance and study its impact on the different tasks and baselines. This provides us with insights into the fundamental contextual controlling factors of different aspects of a dialogue. Such insights can inspire more effective dialogue understanding models, and provide support for future text generation approaches. The implementation pertaining to this talk is available at https://github.com/declare-lab/ dialogue-understanding.

Bio: Soujanya Poria an assistant professor of Computer Science at the Singapore University of Technology and Design (SUTD), Singapore. He holds a Ph.D. degree in Computer Science from the University of Stirling, UK. Soujanya was a recipient of the prestigious early career research award called 'NTU Presidential Postdoctoral Fellowship' in 2018 which offers him a research grant worth US$150,000. Before taking up the presidential fellowship position at the NTU, he was a scientist at the A*STAR and the Temasek Laboratory, NTU. He is also PI of multiple academic and industrial grants with the amount totaling to US$ 1,500,000.

He has co-authored more than 100 papers, published in top-tier conferences and journals such as ACL, EMNLP, AAAI, NAACL, Neurocomputing, Computational Intelligence Magazine, etc. At present, he is also affiliated with A*STAR, Singapore as a senior scientist. He was an area co-chair at ACL 2020, NAACL 2019, EMNLP 2020, 2019, and a publicity chair at *SEM 2019. He served as a senior PC member at AAAI 2019, IJCAI 2019, and often serve as a PC member in reputed conferences such as ACL, EMNLP, IJCAI, NAACL. He has given several invited talks at venues like CICLing 2018 which is a large international NLP conference, SocialNLP 2019. He has Google Scholar citations of more than 8000 and my h-index is 44. Recently, he has been awarded the IEEE CIM outstanding paper award. Three of his papers are listed as Web of Science highly cited papers in the field of Computer Science. Recently, in an article published in the Journal of Information Sciences, he has been listed as one of the most prolific and impactful researchers from 2000 to 2016 in the field of sentiment analysis.

Hiram Calvo Castro, CIC-IPN, Mexico

Artificial Intelligence and Natural Minds

Abstract: Connections between Artificial Intelligence and other sciences go back and forth. On the one hand, AI has tried to replicate human capabilities and behavior, making use of studies in Neurosciences, Linguistics and Cognition; on the other hand, these in turn have been benefited from the computational models created based on their theories, as in Computational Linguistics, for example.

Contrary to some fearful theories, the study of Artificial Intelligence in conjunction with recent discoveries allow us to shed important light on the human mind, and help us investigate what makes us human. In this talk we will address some attempts that have been made to create Computational Models of the mind, their psychological implications, and some philosophical issues.

Bio: Full-time professor at the Center for Computing Research of the National Polytechnic Institute, Mexico. He is a member of the National System of Researchers Level II.

Research interest. Computational Linguistics, Lexical Semantics and Learning Algorithms.

Mario Köppen, Kyuhsu Institute of Technology, Fukuoka, Japan.

Human-Centered Computing: Transdisciplinary science of the human embodiment in intelligent computing

Abstract: Human-Centered Computing (HCC) is a transdisciplinary science linking the recently popular intelligent technologies (Artificial Intelligence, Computational Intelligence, Soft Computing, Machine Learning, Pattern Recognition, Data Mining) with all sensations of a human embodiment. HCC will usually integrate two or more techniques to tackle challenging problems or find a practical application, having the human or human sense or reach expansion, or to compensate for human impediments as a central theme: image and signal processing (to enrich the human visual system), networking and collaborative systems (the human as a social being), security, physiology/psychology, sentiment analysis, smart recommendation systems, science of preferences, up to aspects of political economy and complex systems theory. In this talk, after a short account of the historical development of the discipline, it will be illustrated why a single technique isn't sufficient to solve a number of tasks and why their integration is needed. The question whether there is a "human way" of computing, different from what a typical computer is doing these days, will find a positive and intuitive answer. Apart from those examples, recalling Gestalt psychology, as well as neural paradigms like Hierarchical-Temporal-Memory (HTM) preceding popular neural architectures these days, will help to make the links, independence and need for a new discipline here even more obvious. Based on such more theoretical backing, we can find a number of potential or already existing applications, esp. with regard to human assessment of ranking, social network models, thermal imaging, among others.

Bio: Mario Köppen is a Professor in the Graduate School for Creative, Informatics at the Kyuhsu Institute of Technology, Fukuoka, Japan. He has published more than 150 peer-reviewed papers in conference proceedings, journals and books and was active in the organization of various conferences as chair or member of the program committee, incl. the WSC on-line conference series on Soft Computing in Industrial Applications, and the HIS conference series on Hybrid Intelligent Systems. He is founding member of the World Federation of Soft Computing, and also Associate Editor of the Applied Soft Computing journal. In 2006, he became JSPS fellow at the Kyushu Institute of Technology in Japan, and in 2008 Professor at the Network Design and Reserach Center (NDRC) and 2013 Professor at the Graduate School of Creative Informatics of the Kyushu Institute of Technology, where he is conducting now research in the fields of multi-objective and relational optimization, digital convergence and multimodal content management.

Research interest. Mario Köppen is an expert in Pattern Recognition, Image Processing, Soft Computing, Computational Intelligence, Security Technologies, (Multi-Objective) Optimization, and Algorithm Theory.





Topics of interest are all areas of Artificial Intelligence, including but not limited to:

  • Expert Systems & Knowledge-Based Systems
  • Knowledge Representation & Management
  • Knowledge Acquisition
  • Multi-agent Systems and Distributed AI
  • Intelligent Organizations
  • Natural Language Processing
  • Sentiment Analysis and Opinion Mining
  • Ontologies
  • Intelligent Interfaces: Multimedia, Virtual Reality
  • Computer Vision & Image Processing
  • Neural Networks
  • Genetic Algorithms
  • Fuzzy Logic
  • Machine Learning
  • Pattern Recognition
  • Belief Revision
  • Qualitative Reasoning
  • Uncertainty & Probabilistic Reasoning
  • Model-Based Reasoning
  • Non-monotonic Reasoning
  • Common Sense Reasoning
  • Case-Based Reasoning
  • Spatial and Temporal Reasoning
  • Constraint Programming
  • Logic Programming
  • Automated Theorem Proving
  • Robotics
  • Planning and Scheduling
  • Hybrid Intelligent Systems
  • Bioinformatics & Medical Applications
  • Philosophical and Methodological Issues of AI
  • Intelligent Tutoring Systems
  • Data Mining
  • Applications


Non Author - Register HERE

The registration fee amount for authors is USD 100.00 or MXN 2,000. This includes one paper only. If one author has more than one accepted paper, in order for the papers to be published the fee is to be paid for each of them independently. If you pay via bank transfer or PayPal, you should add the bank fees, so the amount that you will pay will be higher. In summary:


Bank from Mexico Bank from abroad PayPal
For each paper

MXN 2,000

USD 100 plus bank fees

USD 105

Additional page

(use a single payment)

MXN $200.00 USD 10 plus bank fees USD 10

This fee includes publication of one paper (up to the page limit) in any of the proceedings volumes or journal issues derived from the conference.

Payment options:

Bank transfer (preferred for Mexican authors)

Please transfer the fee to any of the following accounts in Mexican pesos:

Bank: BBVA Bancomer,
Account: 0194625285,
CLABE: 012180001946252858,
Beneficiary: Sociedad Mexicana de Inteligencia Artificial, A.C.


Branch: 4152,
Account: 0194825,
CLABE: 002180415201948254,
Beneficiary: Sociedad Mexicana de Inteligencia Artificial, A.C.


You can find more details here.


Credit card or PayPal payment (from abroad)
Now, it is enabled! 

You can find more details here.

If you pay from abroad, please make sure that the complete fee is deposited to our account;
i.e., if there is any transfer fee, please add it to your payment.


Paper Submission

We solicit original research papers written in English. The submissions must not have been previously published or be under review for another conference or journal. Only complete and finished papers will be reviewed, not abstracts. After your paper is accepted you will have a chance to improve it according the comments of the reviewers, but the reviewers will assume that the text that they are reading is the text that is to be published, with the only changes they explicitly request (as opposed to reviewing a draft or abstract). In particular, the papers must be submitted in the required format. We reserve the right to reject without review the submissions that do not follow the format guidelines.

Submission procedure. Submissions are received electronically. The submission and reviewing procedure is handled the the EasyChair system. To submit a paper:

If you have not a user of the EasyChair system, you will need to register using the "I have no EasyChair account" button. Please do not send us your submissions by email. Please contact us in case of problems.

Submission is done in two phases. First, by the expression of interest deadline, we only need the tentative title and a draft abstract of your paper (you can change this later); they will be used only to reserve the appropriate reviewers for your paper - why not doing it right now? Later, by the full paper submission deadline, we will need the full text of your paper, as a PDF file. Both the draft abstract and full paper are uploaded via the EasyChair system. If you read this late, or need more time, you can upload your paper while the system is open, or contact us for late submissions.

Submission of the paper assumes that at least one author will register at the conference and present an accepted paper or poster. Full registration fee should be paid for each accepted paper.

Size. Registration fee for authors includes publication of a paper of up to 12 pages, though more pages can be used for a small additional fee. We strongly encourage authors to use as many pages as really necessary for an excellent paper: longer papers have better impact and receive more citations. Do not sacrifice the quality of your paper to squeeze it into the page limit.

For each page that exceeds this limit small extra fee of USD 10 will be charged. If your page exceeds 20 pages, please contact the organizers first. The additional fee is charged for the pages exceeding the page limit in either the version submitted for review or in the camera-ready version, whichever is greater. In particular, you must not shorten the camera-ready version in comparison with the version submitted for review unless the reviewers required this (contact us if you feel you should do shorten it; in any case this would not reduce the fee). However, we encourage you to use as many pages as you really need for an excellent paper, even if you will pay a very small fee for it -- that it, we recommend you not to sacrifice clarity and completeness of your paper for the page limit.

Double blind review policy: the review procedure is double blind. Thus the papers submitted for review must not contain the authors' names, affiliations, or any information that may disclose the authors' identity (this information is to be restored in the camera-ready version upon acceptance). In particular, in the version submitted for review please avoid explicit auto-references, such as "in [1] we show" -- consider "in [1] it is shown". I.e., you may cite your own previous works provided that it is not deducible from the text that the cited work belongs to the authors. When citing your previous work, please keep the names:

Incorrect:      In [1] we have shown ...
1. <Hidden for review>, Syntactic Structures, The Hague, Mouton, 1957.


In [1] it was shown ...
1. Chomsky, N., Syntactic Structures, The Hague, Mouton, 1957.

Format. The submissions are to be formatted in strict accordance with the Springer LNCS format guidelines. You can find here some useful advice on formatting.

Publication templates

LNCS templates and guidelines click here.
RCS templates click here


Workshops, Tutorials, Doctoral Consortium

Workshops and tutorials will be organized in conjunction with MICAI 2020; see Call for Workshops, Call for Tutorials, Call for Doctoral Consortium.


To get your invoice for the workshops send an email to "micai2020 at smia.mx" with the information in the subject with format "INVOICE - Workshop NAME paper # TITLE" and please attach your payment proof as well as your tax data including the MEXICAN SAT classification, payment classification, quantity and postal address).

13TH Workshop on Intelligent Learning Environments (WILE 2020)

13th Workshop of Hybrid Intelligent Systems (HIS 2020)

2nd Workshop on New Trends in Computational Intelligence and Applications (CIAPP 2020)

6th Workshop on Intelligent Decision Support Systems for Industry (WIDSSI 2020)


Carmen Lozano & Jesús Macías-Durán | Advances in Fuzzy Logic and its applications to business | Universidad La Salle México

Ildar Batyrshin | Problem Dependent and Data-Driven Similarity and Correlation Measures in Knowledge Retrieval | National Polytechnic Institute

León Palafox | Machine Learning for financial application | Universidad Panamericana

Josafath Israel Espinosa Ramos | Spiking neural networks: a practical approach for Spatio-temporal data classification | Auckland University of Technology

Pedro Larragaña, Concha Bielza & Bojan Mihaljevic | Bayesian Classifiers | Technical University of Madrid

Bedrich Benes | Inverse Procedural Modeling in Computer Graphics | Purdue University

Jesús Arzola | Introduction to Machine Learning for Material Science with Orange | Benemerita Universidad Autónoma de Puebla

José Negrete Award

Convocatoria mejores Tesis de Maestria y Doctorado


MICAI 2020 will be held in Mexico City, Mexico: Universidad Panamericana.


The general schedule of the conference will be as follows:

  • Sunday: Pre-conference events (registration, meetings)

  • Monday, Tuesday: Pre-conference events (workshops, tutorials)

  • Wednesday to Friday: Main conference (keynote and regular talks, cultural program)

  • Saturday: Post-conference events (meetings, cultural program)

Conference organization

Conference chair: Félix Castro (UAEH - fcastroe AT gmail.com)

Program chairs:

Oscar Herrera (UAM - oha AT azc.uam.mx) 

Ma. Lourdes Martínez (UP - lmartine AT up.edu.mx)

Local chair: Hiram Ponce (UP - hponce AT up.edu.mx)

Program Committee

Alan Calderón Velderrain
Alejandro Rosales
Alejandro Israel Barranco Gutiérrez
Alexander Bozhenyuk
Alexander Gelbukh
Alicia Morales-Reyes
Alisa Zhila
Andre de Carvalho
Andrés Espinal
Angel Sanchez
Ángel Rodríguez Liñan
Anilu Franco-Arcega
Antonio Neme
Antonio Sanchez
Antonio Marín Hernández
Ari Yair Barrera-Animas
Asdrubal López-Chau
Aurelio Alejandro Santiago Pineda
Aurora Torres
Bella Citlali Martínez-Seis
Betania Hernandez-Ocaña
C. Alberto Ochoa-Zezatti
Cesar Núñez-Prado
César Medina-Trejo
Christian Sánchez-Sánchez
Claudia Gomez
Crina Grosan
Daniela Moctezuma
Dante Mújica-Vargas
David Tinoco
Davide Buscaldi
Denis Filatov
Diana Laura Vergara
Diego Uribe
Dora-Luz Flores
Eddy Sánchez-Delacruz
Edgardo Manuel Felipe Riverón
Eduardo Gomez-Ramirez
  Efraín Solares Lachica
Efrén Mezura-Montes
Eloisa Garcia
Elva Lilia Reynoso Jardón
Eric S. Tellez
Erikssen Aquino
Ernesto Moya-Albor
Felix Castro Espinoza
Fernando Gudiño
Fernando Von Borstel
Francisco Viveros-Jimenez
Gabriel Gonzalez
Gabriel Sepúlveda Cervantes
Garibaldi Pineda García
Gemma Bel-Enguix
Genoveva Vargas Solar
Gerardo Loreto
Gibran Fuentes-Pineda
Gilberto Ochoa Ruiz
Gilberto Rivera-Zarate
Giner Alor Hernandez
Grigori Sidorov
Guillermo Morales-Luna
Guillermo Santamaria
Gustavo Arroyo
Haruna Chiroma
Helena Gómez
Heydy Castillejos
Hiram Calvo
Hiram Ponce
Horacio Rostro
Ignacio Arroyo-Fernández
Igor Bolshakov
Ildar Batyrshin
Ilia Markov
Iris Iddaly Méndez-Gurrola
Iskander Akhmetov
Ismael Osuna-Galán
  Israel Tabarez
Ivan Meza
Ivandré Paraboni
J. Victor Carrera-Trejo
Joaquín Gutiérrez Juaguey
Joel Ilao
Jorge Hermosillo
Jorge Jaimes
Jorge Reyes
Jose Valdez
José A. Reyes-Ortiz
José Alberto Hernández
José Ángel González Fraga
José Antonio León-Borges
José Carlos Ortiz-Bayliss
José David Alanís Urquieta
Juan Martínez Miranda
Juan Jose Flores
Karinaruby Perez-Daniel
Katya Rodriguez-Vazquez
Laura Cruz-Reyes
Leticia Flores-Pulido
Lourdes Martínez
Luis Torres Treviño
Luis Humberto Sánchez Medel
Luis-Carlos González-Gurrola
Maaz Amjad
Mario Locez-Loces
Masaki Murata
Merlin Teodosia Suarez
Miguel Gonzalez-Mendoza
Miguel Ángel Zúñiga García
Miguel Ángel Alonso Arévalo
Mukesh Prasad
Nailya Kubysheva
Nareli Cruz Cortés
Navonil Majumder
Nestor Velasco Bermeo
  Noé Alejandro Castro-Sánchez
Noel Enrique Rodriguez Maya
Norberto Castillo García
Obdulia Pichardo
Ofelia Cervantes
Olga Kolesnikova
Omar Montaño Rivas
Omar Jehovani López Orozco
Oscar Herrera
Paula Hernández Hernández
Pedro Pablo Gonzalez
Piere Baldi
Rafael Batres
Rafael Guzman Cabrera
Rafaela Silva
Ramon Barraza
Ramon F. Brena
Roberto Vázquez
Rodrigo Lopez Farias
Roilhi Frajo Ibarra Hernández
Roman Anselmo Mora-Gutierrez
Romeo Sanchez Nigenda
Ruben Cariño Escobar
Sabino Miranda-Jiménez
Salvador Godoy-Calderon
Saturnino Job Morales Escobar
Saúl Zapotecas Martínez
Segun Aroyehun
Sergio Padilla
Sofia N. Galicia-Haro
Tania Aglaé Ramírez Del Real
Vadim Borisov
Valery Solovyev
Vicente Garcia
Victor Lomas-Barrie
Yasmin Hernandez
Yasunari Harada
Yenny Villuendas Rey



  • General inquiries: micai2020Instert the @ sign heresmia.mx.

  • Inquiries on submission requirements: micai2020smia.mx.

  • Inquiries on the conference program: micai2020smia.mx.

Please indicate "MICAI 2020" in the Subject line of all correspondence,
and please indicate your paper number, authors, and paper title in all correspondence when applicable.

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