Raul Ramirez-Velarde

18/09/21

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Welcome to my personal Web page

Hello! I am Raul V. Ramirez-Velarde, professor and researcher of the Computation department at Tecnológico de Monterrey (in Monterrey, Nuevo Leon, Mexico). A few things about me

Chemical & Industrial Engineering degree in May, 1988 at Instituto Tecnologico y de Estudios Superiores de Monterrey (ITESM), Campus Monterrey, Mexico. He finished a Master Degree on Science with specialty in Computer Science in July 1991. He has been full time professor at ITESM since August de 1991. He reached Associate Professor Level in 2003. He finished a doctorate degree at ITESM in February 2004 in Information Technology with specialty in Multimedia Distributed Systems.

Raul Ramirez has done research in collaborative distributed systems, information technology architecture and infrastructure engineering, computer graphics and animation, and networked multimedia. He has also been consultant to several important firms such as Cemex, Vitro, MacroPro, Photosoft, Cerveceria Cuahtemoc, Elektra, and several agencies of Nuevo Leon provincial government. Also, he is part of the Technical Committee for the development of the Preliminary Results Program for the Provincial Voting Commission (SIPRE, CEE) and of the Technical Committee for the Development of Electronic Vote for the same commission.

In January of 1993, he was awarded the first place of the "Award to Educational Innovation 1992
 
Areas of professional interest:
  1. Data science analysis and scalable machine learning algorithms
  2. Optimization with scalable algorithms
  3. High-performance computational mathematics
  4. Modelling chaotic systems under uncertainty
  5. Stochastic processes
  6. Modelling network based multimedia services
  7. Creating novel learning experiences for engineering students
  8. Learning analytics
JCR-Indexed Publications:
  1. de-Marcos L, Garcia-Cabot A, Garcia-Lopez E, Ramírez-Valarde RV, Teixeira AM, Martínez-Herráiz J-J. “Gamifying Massive Online Courses: Effects on the Social Networks and Course Completion Rates”. Applied Sciences. 2020; 10(20):7065.
  2. Rincon Flores, E. G., Mena, J., Ramírez Montoya, M. S., & Ramirez Velarde, R. (2020). “The use of gamification in xMOOCs about energy: Effects and predictive models for participants’ learning”. Australasian Journal of Educational Technology (36)2, 43-59. https://doi.org/10.14742/ajet.4818. ISSN: 14495554
  3. Raul A. Fuentes-Samaniego, Vinh Hoa LA, Ana R. Cavalli, Juan A. Nolazco-Flores, Raul V. Ramirez-Velarde. “A monitoring based approach for WSN security using IEEE-802.15.4/6LowPAN and DTLS communication”. International Journal of Autonomous and Adaptive Communications Systems, Volume 12, No. 3, pp. 218-243, 2019. ISSN: 1754-8632
  4. Ramírez-Velarde, R., Tchernykh, A., Barba-Jimenez, C., Hirales-Carbajal, A., Nolazco-Flores, J. “Adaptive Resource Allocation with Job Runtime Uncertainty”. J Grid Computing (2017) 15(4): 415-434. DOI: 10.1007/s10723-017-9410-6. ISSN: 1570-7873
  5. Barba-Jimenez, Carlos, Raul Ramirez-Velarde, and Juan A. Nolazco-Flores. "Models for wireless H. 264 video-on-demand services using self-similarity and heavy-tails." Wireless Networks, 23(7) 2239-2252, 2017. DOI: 10.1007/s11276-016-1281-4. ISSN: 1022-0038.
  6. Barba-Jimenez, C., Ramirez-Velarde, R., Tchernykh, A., Rodríguez-Dagnino, R., Nolazco-Flores, J., & Perez-Cazares, R. (2016). “Cloud Based Video-on-Demand Service Model Ensuring Quality of Service and Scalability”. Journal of Network and Computer Applications 70(1), 2016: 102-113. DOI: 10.1016/j.jnca.2016.05.007. ISSN: 1084-8045
  7. Ramirez-Velarde, R. V. and Rodríguez-Dagnino, R. M. “A gamma fractal noise source model for variable bit rate video servers”. Computer Communications, Volume 27, Issue 18, 1 December 2004, Pages 1786-1798. ISSN 0140-3664.

Photographic album:

 
Take a look at the places I have visited

 

Books:
  1. In “Technological Advances in Interactive Collaborative Learning”. CRC Press, Boca Raton, USA, 2013. ISBN: 978-1-4665-0208-6.
  2. High-Performance Numerical Mathematics in shared memory environments in C/C++ (in review)
  3. High-Performance Numerical Mathematics in distributed memory environments in C/C++ (in review)
  4. High-Performance Numerical Mathematics in GPU accelerated environments in C/C++ (in review)
  5. High-Performance Numerical Mathematics in GPU accelerated environments in Python (in review)
  6. Modern Stochastic Models and Chaos Modelling (in review)
  7. Modern Computer Graphics Based on Chaos (in review)
Certificates:
 
     
     

 

Interesting Links:

 

 

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Las update 18/09/2021