M.Sc. Mario A. Saucedo-Espinosa

Academic background

• PhD in Microsystems Engineering, Rochester Institute of Technology, New York, United States, 2013-current.
• MSc in Systems Engineering, Universidad Autónoma de Nuevo León, Nuevo Leon, Mexico, 2010-2012.
• BSc in Chemical Engineering, Universidad Autónoma de Nuevo León, Nuevo Leon, Mexico, 2003-2008.

Professional experience

• Senior consultant, Logykopt, Nuevo Leon, Mexico, 2012-2013.
• Graduate student consultant, Whirlpool México, Nuevo Leon, Mexico, 2011-2012.
• Process engineering intern, Vesuvius México, Nuevo Leon, Mexico, 2008.
• Assistant professor, Preparatoria UANL No. 2, Nuevo Leon, Mexico, 2009.

Fellowships and scholarships

• Fulbright-García Robles Scholarship, granted by the United States-Mexico Commission for Educational and Cultural Exchange, United States, 2013-2016.
• CONACYT Graduate Fellowship, granted by the Mexican National Council of Science and Technology, Mexico, 2013-2017.
• CONACYT Visiting Scholar Fellowship, granted by the Mexican National Council of Science and Technology, Mexico, 2011.
• CONACYT Graduate Fellowship, granted by the Mexican National Council of Science and Technology, Mexico, 2010-2012.

Honors and awards

• AES Travel Award, granted by the American Electrophoresis Society, United States, 2014.
• Mexican National Award to the Best Master Thesis in Artificial Intelligence, granted by the Mexican Society for Artificial Intelligence, Mexico, 2012.
• First Place in the Research Projects for the Industry Competition, granted by Universidad Autónoma de Nuevo León, Mexico, 2011.
• Academic Merit Award (Best GPA in Chemical Engineering), granted by Universidad Autónoma de Nuevo León, Mexico, 2008.
• Academic Merit Award (Third best GPA in Chemical Engineering), granted by Universidad Autónoma de Nuevo León, Mexico, 2008.

Research interests

• Particle manipulation by insulator-based dielectrophoresis.
• Computational modeling and design of dielectrophoretic trapping microdevices.
• Stochastic processes in chemical engineering.
• Mathematical programming and optimization in complex systems.
• Artificial intelligence applications for prediction in complex systems.

Refereed journal articles

IN PREPARATION

1. Saucedo-Espinosa, M.A. and Lapizco-Encinas, B.H.; Improving the estimation of the dielectrophoretic force in insulator-based dielectrophoretic devices: a study on particle concentration and its effect on particle trapping.
2. Saucedo-Espinosa, M.A. and Lapizco-Encinas, B.H.; Adapting current monitoring measurement for low conductivity media.
3. Saucedo-Espinosa, M.A., Caballero-Robledo, G.A. and Ríos-Solís, Y.A.; Repayment policy for multiple loans..
4. Saucedo-Espinosa, M.A. and Berrones, A.; Robust generalization of the infinite mixture model.


UNDER REVIEW

5. Lalonde, A.; Romero-Creel, M.F.; Saucedo-Espinosa, M.A. and Lapizco-Encinas, B.H.; Isolation and enrichment of low abundant particles with insulator-based dielectrophoresis; Biomicrofluidics; Ms. No.: 15333, 08/2015.
6. Rauch, M.; Lalonde, A.; Saucedo-Espinosa, M.A. and Lapizco-Encinas, B.H.; Polarization behavior of polystyrene particles under direct current and low frequency (lt. 1 kHz) electric fields in dielectrophoretic systems; Electrophoresis; elps.201500338, 07/2015.
7. Saucedo-Espinosa, M.A.; Lalonde, A.; Gencoglu, A.; Romero-Creel, M.F. and Lapizco-Encinas, B.H.; Dielectrophoretic manipulation of particle mixtures employing asymmetric insulating posts; Electrophoresis; 07/2015.
8. Saucedo-Espinosa, M.A.; Rauch, M. and Lapizco-Encinas, B.H.; Improving the Design of Insulator-based Dielectrophoretic Devices: Effect of the shape, size and arrangement of insulating structures; Journal of Chromatography A; Ms. No.: JCA-15-991, 06/2015.


PUBLISHED

9. Saucedo-Espinosa, M.A.; and Lapizco-Encinas, B.H.; Experimental and theoretical study of dielectrophoretic particle trapping in arrays of insulating structures: effect of particle size and shape; Electrophoresis; 36(9-10):1086-1097, 2015.
10. Saucedo-Espinosa, M.A.;, A. Berrones and H. J. Escalante; Detection of defective embedded bearings by sound analysis: a machine learning approach; Journal of Intelligent Manufacturing; DOI: 10.1007/s10845-014-1000-x.
11. J. Velasco, Saucedo-Espinosa, M.A.;, H. Escalante, K. Mendoza, C. Villarreal-Rodríguez, O. Chacón-Mondragón and A. Berrones; An Adaptive Random Search for Unconstrained Global Optimization; Computación y Sistemas; 18(2):243-256; 2014.
12. O. J. Ibarra-Rojas, R. Z. Ríos-Mercado, Y. A. Ríos-Solís and Saucedo-Espinosa, M.A.; A decomposition approach for the piece-mold-machine manufacturing problem; International Journal of Productions Economics; 134(1):255-261; 2011.

Technical articles

1. Saucedo-Espinosa, M.A.; Métodos estadísticos y de aprendizaje automático para estimación en sistemas complejos (Statistical and machine learning Bayesian methods for estimation in complex systems); Master Thesis; Universidad Autónoma de Nuevo León; May 2012.
2. Escalante, H. J.; Espinosa Guevara, K.; Berrones, A. and Saucedo-Espinosa, M.A.; Detección automática de fallas de baleros en un proceso de manufactura: un estudio comparativo (Automatic bearing failure detection in a manufacturing process: a comparative study); Ingenierías; XV(55):15-22; issn: 2007 - 1175; 2012.
3. O. L. Chacón-Mondragón, O. J. Ibarra-Rojas, Y. A. Ríos-Solís and Saucedo-Espinosa, M.A.; Programación pieza-molde-máquina en planeación de la producción (Piece-mold-machine programming in production planning); Ciencia UANL; 15(58):59-65; issn: 1405-0676; 2012.

Conference presentations

UPCOMING

1. Saucedo-Espinosa, M.A.; Rauch, M. and Lapizco-Encinas, B.H.; Optimization of Insulator-Based Dielectrophoretic Devices; COMSOL Conference 2015, Boston MA, USA; 10/2015.
2. Saucedo-Espinosa, M.A. and Lapizco-Encinas, B.H.; Improving the estimation of the dielectrophoretic force in insulator-based dielectrophoretic devices: a study on particle concentration and its effect on particle trapping; COMSOL Conference 2015, Boston MA, USA; 10/2015.
3. Saucedo-Espinosa, M.A.; Rauch, M. and Lapizco-Encinas, B.H.; Improving the Design of Insulator-Based Dielectrophoretic Devices: Effect of Insulator Posts Characteristics; AICHE Annual Meeting 2015, Salt Lake City GA, USA; 11/2015.
4. Saucedo-Espinosa, M.A. and Lapizco-Encinas, B.H.; Effect of Particle Concentration in the Estimation of Dielectrophoretic Force in Arrays of Insulators; AICHE Annual Meeting 2015, Salt Lake City GA, USA; 11/2015.
5. Saucedo-Espinosa, M.A. and Lapizco-Encinas, B.H.; Adapting Current Monitoring Measurements to Low Conductivity Systems; AICHE Annual Meeting 2015, Salt Lake City GA, USA; 11/2015.
6. Saucedo-Espinosa, M.A.; LaLonde, A.; Gencoglu, A.; Romero-Creel, M. and Lapizco-Encinas, B.H.; Reversing elution order in insulator based dielectrophoretic separations with asymmetric insulating posts; AICHE Annual Meeting 2015, Salt Lake City GA, USA; 11/2015.
7. LaLonde, A.; Romero-Creel, M.; Saucedo-Espinosa, M.A. and Lapizco-Encinas, B.H.; Dielectrophoretic isolation and enrichment of low abundant particles; AICHE Annual Meeting 2015, Salt Lake City GA, USA; 11/2015.


PAST

8. Saucedo-Espinosa, M.A. and Lapizco-Encinas, B.H.; Fundamentals of Dielectrophoretic Particle Trapping in Arrays of Insulating Structures; AICHE Annual Meeting 2014, Atlanta GA, USA; 11/2014.
9. Saucedo-Espinosa, M.A.; Rauch, M. and Lapizco-Encinas, B.H.; Improving the Design of Insulator-Based Dielectrophoretic Devices; AICHE Annual Meeting 2014, Atlanta GA, USA; 11/2014.
10. Koppula, K.S.; Gencoglu, A.; Saucedo-Espinosa, M.A. and Lapizco-Encinas, B.H.; Simulation and Modeling of Insulator Based Dielectrophoresi; AICHE Annual Meeting 2014, Atlanta GA, USA; 11/2014.
11. Saucedo-Espinosa, M.A. and Lapizco-Encinas, B.H.; On the fundamentals of dielectrophoretic particle trapping in arrays of insulating structures; Dielectrophoresis 2014, Institute of Physics, London UK, 07/2014.
12. Saucedo-Espinosa, M.A., Caballero-Robledo, G.A. and Ríos-Solís, Y.A.; Repayment policy for multiple loans; CLAIO/CSMIO 2014; Monterrey NL, Mexico; 10/2014.
13. Saucedo-Espinosa, M.A. and Ríos-Solís, Y.A.; Sequential approach for the piece-mold-machine manufacturing problem; NAMIAM I; Huatulco SON, Mexico; 12/2010.