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							<h2>Members</h2>
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						<b>
						 The members of Machine Learning for Mexico are committed to the
						 increase of transparency and the improvement of reproducibility and
						 openness of any project of Machine Learning for Mexico.
						 The members are also part of the editorial board for
						 <a href="https://github.com/ML4MX/blogpost-submission">blogpost-submission</a>
						 and
						 <a href="https://github.com/ML4MX/project-submission">project-submission</a>.
					 </b>
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					 <br>

						<p>
							<font size="3">
							<b> <a href="http://omarcostilla.eu/">Omar Costilla-Reyes</a> </b> | <a href="https://github.com/omarcr">GitHub @omarcr</a>   <br>
							Artificial intelligence, Machine learning, Sensors systems, Healthcare and security <br>
							Python, MATLAB, C <br>
							ORCID: <a href="https://orcid.org/0000-0001-8331-7262">0000-0001-8331-7262</a>  <br>
							RESEARCH CENTRE: Sensing, Imaging and Signal Processing Lab, University of Manchester  <br>
							ADDRESS: E floor,  Sackville Street Building, Manchester, M1 3BB, United Kingdom <br>
							EMAIL: omar dot costillareyes at manchester dot ac dot uk <br>
							</font>
							<font size="1">
							<b>Biography</b>
							Omar Costilla-Reyes received the M.Sc. degree in Electrical Engineering from
							the University of North Texas, Texas, U.S.A. in 2014. During his master
							studies, he was a research assistant in projects with funding from the
							National Science Foundation (NSF) and National Aeronautics and Space
							Administration (NASA). His M.Sc. dissertation was on dynamic indoor positioning
							systems using wireless sensor networks and machine learning. He is currently a
							PhD candidate in Electrical and Electronics Engineering at the University of
							Manchester, U.K; where he has published research papers on applications of
							machine learning for gait analysis in security and healthcare.
							His Journal paper entitled "Temporal Pattern Recognition in Gait Activities
							Recorded With a Footprint Imaging Sensor System" was one of the 25 most
							downloaded IEEE Sensors Journal papers in the months of January – May 2017.
							His research interest lies in applications of machine learning using sensor
							systems for security and healthcare. He received the Best Student Paper Award
							in Optical Sensing applications at the 2015 IEEE Sensors Conference.
							He has won scholarships and awards for academic achievement including an academic
							scholarship for his master's and doctorate studies from the
							Mexican Science council (CONACyT).
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						<p>
							<font size="3">
							<b> <a href="http://">Edgar Valdés</a> </b> | <a href="https://github.com/ekhar666">GitHub @ekhar666</a>   <br>
							Geometrothermodynamics, Topological Quantization, Category Theory <br>
							ABAP, Python, C++, C, Java, HTML, CSS, Ruby <br>
							ORCID: <a href="https://orcid.org/0000-0000-0000-0000">0000-0000-0000-0000</a>  <br>
							RESEARCH CENTRE:  <br>
							ADDRESS:  <br>
							EMAIL: edgar dot valdes at redtalentos dot nl <br>
							</font>

							<font size="1">
							<b>Biography</b>
							Edgar is Business + Technology Consultant and Physicist with 11+
							years of experience as a software architect in automotive, chemical,
							government and retail sectors in Costa Rica, México and The Netherlands.
							Edgar has developed industry solutions based on innovative business
							practices. Nowadays he is integrating hyper-connectivity, big data,
							cloud computing and supercomputing into industry digital transformation.
							During his consultancy career, Edgar has participated in more than
							10 ERP implementation. Additionally he works on consultancy for critical
							process developing complete software solutions and products following
							critical business operations.
							Edgar holds a Master on theoretical physics as a mix grade from UNAM
							and Radboud universities and currently is looking for a PhD candidate
							on complex networks modelling for IoT and Big Data.
							</font>
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						<p>
							<font size="3">
							<b> <a href="http://mxochicale.github.io/">Miguel P Xochicale</a> </b> | <a href="https://github.com/mxochicale">GitHub @mxochicale</a>   <br>
							Human-Robot Interaction, Nonlinear Dynamics, Deep Learning <br>
							R, Python, ROS<br>
							ORCID: <a href="https://orcid.org/0000-0002-8225-7517">0000-0002-8225-7517</a>  <br>
							RESEARCH CENTRE: Department of Electronic, Electrical and Systems Engineering  <br>
							ADDRESS: University of Birmingham, Gisbert Kapp Building, Pritchatt's Road, Birmingham B15 2TT <br>
							EMAIL: perez dot xochicale at gmail dot com <br>
							</font>

							<font size="1">
							<b>Biography</b>
							Miguel P Xochicale is a doctoral researcher in the Department of
							Electronic, Electrical and Systems Engineering at University of
							Birmingham under the supervision of Professor Chris Baber and
							Professor Martin Russell.
							Miguel received a B.Sc. degree in Electronics
							from Instituto Tecnológico de Puebla (ITP), México.
							He then received his M.Sc. degree in Electronics from
							Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), México in 2006.
							He developed a Dance Demo Interaction with a service Robot in 2013 at
							INAOE's robotics laboratory and also worked in various Universities in Puebla,
							Mexico from 2006 to 2013.
							For his current work at The University of Birmingham, he was awarded a
							fully scholarship from the Mexican National Council for Science and
							Technology (CONACYT) to work on his Ph.D. research project entitled
							"Automatic Classification of Movement Variability in the context of
							Human-Robot Interaction" from 2014 to 2018.
							Miguel is gaining understanding of the variability of human movements
							using Nonlinear Dynamics Time Series
							Analysis and Deep Learning to create novel analysis and interpretation
							of signals collected through a network of wearable inertial measurement
							units and a webcam for facial behaviour analysis.
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						<p>
							<font size="3">
							<b> <a href="http://www.ims.uni-stuttgart.de/institut/mitarbeiter/ortegamo/index.en.html">Daniel Ortega</a> </b> | <a href="https://github.com/danielggm">GitHub @danielggm</a>   <br>
							Natural Language Processing, Spoken Dialog Systems, Deep Learning <br>
							Python, Java, C++<br>
							ORCID: <a href="https://orcid.org/0000-0000-0000-0000">0000-0000-0000-0000</a>  <br>
							RESEARCH CENTRE: Institute for Natural Language Processing, University of Stuttgart <br>
							ADDRESS: Pfaffenwaldring 5 b, 70569 Stuttgart, Deutschland <br>
							EMAIL: daniel dot ortega at ims dot uni-stuttgart dot de <br>
							</font>

							<font size="1">
							<b>Biography</b>
							Daniel Ortega is currently a PhD candidate and research associate
							in the Institute for Natural Language Processing (IMS) at the
							University of Stuttgart, his main research fields are spoken language
							understanding and spoken dialogue systems. He obtained a bachelor degree
							in Telematics from the National Polytechnic Institute of Mexico in 2010
							and a MSc in Computational Linguistics from the IMS in 2016,
							whose dissertation was on dialogue act classification using
							convolutional neural networks. In 2013, he was awarded with a
							JICA scholarship, given by the Japanese government, to do a
							six-month stay in the Ritsumeikan University. His master and PhD
							studies have been funded by the German Academic Exchange Service
							(DAAD) and the National Council of Science and Technology of Mexico
							(CONCAyT).
							</font>
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						<p></p>


						<p>
							<font size="3">
							<b> <a href="http://">Abelardo Rodríguez Pretelín</a> </b> | <a href="https://github.com/USERNAME">GitHub @username</a>    <br>
							AREA OF RESEARCH 1, AREA OF RESEARCH 2, AREA OF RESEARCH 3 <br>
							PROGRAM LANGUAGE 1, PROGRAM LANGUAGE 2 , PROGRAM LANGUAGE 3 <br>
							ORCID: <a href="https://orcid.org/0000-0000-0000-0000">0000-0000-0000-0000</a>  <br>
							RESEARCH CENTRE:  <br>
							ADDRESS:  <br>
							EMAIL:  <br>
							</font>

							<font size="1">
							<b>Biography</b>
							Abelardo Rodríguez Pretelín is a Ph.D. candidate in the department
							of Stochastic Simulation and Safety Research for Hydrosystems in
							the University of Stuttgart with particular interests in Data driven
							simulation, Stochastic Modeling, Heuristic optimization,
							Sensitivity analysis, Geotechnical and Groundwater modeling.
							Prior to enrolling at the University of Stuttgart, he worked for
							three years as geotechnical consultant in Mexico.
							He holds a master’s degree in Water Resources Engineering and
							Management from the University of Stuttgart and a Bachelor's degree
							in Civil Engineering from the Universidad Veracruzana.
							In his research he focuses on developing new methodologies that
							can protect groundwater resources against time varying flow conditions
							triggered by seasonal or changing climatic conditions.
							</font>
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							<p>
								<font size="3">
								<b> <a href="http://www.mechbau.uni-stuttgart.de/ls2/jrg/people/academic_staff/morales.html//">Sergio Morales Ortuno</a> </b> | <a href="https://github.com/ortuno">GitHub @ortuno</a>    <br>
								Bio-mechanics, Heart mechanics, Finite Element Method, Continuum Mechanics, Image Processing <br>
								Fortran, Python, Perl, C++<br>
								ORCID: <a href="https://orcid.org/0000-0000-0000-0000">0000-0000-0000-0000</a>  <br>
								RESEARCH CENTRE: SimTech Research Group on Continuum Biomechanics and Mechanobiology, Universität Stuttgart. <br>
								ADDRESS: Pfaffenwaldring 5a, 70569, Stuttgart <br>
								EMAIL:  ortuno@mechbau.uni-stuttgart.de<br>
								</font>

								<font size="1">
								<b>Biography</b>
								Sergio Morales Ortuno is currently a PhD candidate and certificated
								graduate assistant at the group of Continuum Biomechanics and
								Mechanobiology (CBM) of the SimTech cluster from the University of
								Stuttgart. Sergio's research interests focus on Cardiac / Aortic Valve
								Extra Cellular Matrix remodelling investigation under the scope of
								Finite Element Analysis, Continuum Mechanics and Image Processing
								techniques.
								Sergio's background is as a mechanical engineer, Bachelor degree which
								he obtained at the National Polytechnic Institute in Mexico City to then
								specialize in Computational Mechanics, getting a M.Sc. degree at the
								University of Stuttgart. Previously to his Master degree studies, Sergio
								worked as Product Engineer at Chrysler Mexico.
								</font>
							</p>


						<p>Advisors:</p>

						<p>
							<font size="3">
							<b> <a href="http://">David Camacho Alcocer</a> </b> |	<a href="https://github.com/USERNAME">GitHub</a> | <a href="http://linkedin.com/in/david-camacho-alcocer">Linkedin</a> <br>
							AREA OF RESEARCH 1, AREA OF RESEARCH 2, AREA OF RESEARCH 3 <br>
							PROGRAM LANGUAGE 1, PROGRAM LANGUAGE 2 , PROGRAM LANGUAGE 3 <br>
							ORCID: <a href="https://orcid.org/0000-0000-0000-0000">0000-0000-0000-0000</a>  <br>
							RESEARCH CENTRE:  <br>
							ADDRESS:  <br>
							EMAIL:  <br>
							</font>

							<font size="1">
							<b>Biography</b>
							</font>
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						<p>
							<font size="3">
							<b> <a href="http://ricardotrejoruiz.es/">Ricardo Trejo Ruiz</a>  </b>  |  <a href="https://github.com/ricardotr">GitHub</a> | <a href="https://www.linkedin.com/in/ricardotrejoruiz/">Linkedin</a>  <br>
							ADDRESS:  Madrid, Spain<br>
							</font>

							<font size="1">
							<b>Biography</b>
							Ricardo is a software engineer specialized in Service Oriented Architecture and Microservices.<br>
							He has been living in Madrid since 2008 as a software engineer in various platform like<br>
							Oracle, Java, Banking Architecture, Appification, etc.<br>
							
							Currently he is a member of Red Global Mx in Spain as Technologic Consultant.<br>
							</font>
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