基本信息
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Bio
Lars Lindner, was born on July 20th 1981 in Dresden, Germany. He received his M.S. degree in mechatronics engineering from the TU Dresden University in January 2009. He was working as graduate assistant during his studies at the Fraunhofer Institute for Integrated Circuits EAS in Dresden and also prepared his master thesis there. After finishing his career, he moved to Mexico and started teaching engineering classes at different universities in Mexicali. Since August 2013 he began his PhD studies at the Engineering Institute of Autonomous University of Baja California in Mexicali with the topic "Theoretical Method to Increase the Speed of Continuous Mapping of a Three-dimensional Laser Scanner using Servomotor Control", in which he worked in the development of an optoelectronic prototype for the measurement of 3D coordinates, using laser dynamic triangulation. Its academic products include 12 original research articles, 3 articles in national congresses, 15 articles in international congresses and 6 book chapters. In September 2017, he was appointed as a Level 1 National Researcher by the National System of Researchers CONACYT for the period 2018-2020. Right now he is working as a technician assistant at the Engineering Institute of Autonomous University of Baja California for the department of applied physics.
Research Interests
Papers共 63 篇Author StatisticsCo-AuthorSimilar Experts
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Ruben Alaniz-Plata,Oleg Sergiyenko,Wendy Flores-Fuentes,Vera V. Tyrsa,Julio Cesar Rodríguez-Quiñonez, Cesar Antonio Sepúlveda-Valdez, Humberto Andrade-Collazo,Paolo Mercorelli,Lars Lindner
Optoelectronic Devices in Robotic Systemspp.71-113, (2022)
Horacio Alain Millan-Guerrero, Jose Antonio Nuñez-Lopez,Fabian N. Murrieta-Rico,Lars Lindner,Oleg Sergiyenko,Julio C Rodríguez-Quiñonez,Wendy Flores-Fuentes
Advances in IT standards and standardization research seriespp.75-117, (2022)
Avtomobìlʹ ì elektronìka. Sučasnì tehnologìïpp.27-36, (2021)
Examining Optoelectronics in Machine Vision and Applications in Industry 4.0Advances in Computational Intelligence and Roboticspp.37-70, (2021)
Examining Optoelectronics in Machine Vision and Applications in Industry 4.0 Advances in Computational Intelligence and Roboticspp.1-36, (2021)
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