Welcome to SEARCA Knowledge Center on Climate Change Adaptation in Agriculture and Natural Resource Management in Southeast Asia (KC3)

Climate Change Experts and Practitioners

KC3 provides a long list of experts and practitioners not only on climate change but also on cross-cutting issues such as natural resources management, agroforestry, economics, among others.

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Climate Change Experts and Practitioners

KC3 provides a long list of experts and practitioners not only on climate change but also on cross-cutting issues such as natural resources management, agroforestry, economics, among others.

Prof. Nelio Altoveros

Philippines
Category/iesInformation Technology and Innovation Management
ExpertiseEmbedded Systems, Robotics, Instrumentation for Weather System Monitoring, Sensor, Digital Electronics Design, Microprocessor-Based Instrumentation, (Portable Instruments, Monitoring and Control), Computer Programming (Assembly Language, C/C++, Visual Basic & C#, VHDL), Smartphone Instrumentation Applications, Robotics and Automation,
Institution/ Affiliation
  • Institute of Mathematical Sciences and Physics (IMSP), UPLB
  • UP Rural High School (UPRHS)
Educational Background
  • CQ University, PhD (Candidate) Applied Physics
  • University of Central Queensland, MS Applied Physics
  • De Lasalle University, MST Physics
Project/s
  • Project SARAI (Smarter Approaches to Reinvigorate Agriculture as an Industry in the Philippines)- Application of Unmanned Aerial Vehicle (UAV) for agriculture -SARAI KNOWLEDGE
    PORTAL
  • UPLB Robotics and Instrumentation Study Center (aims to conduct researches on robotics application for agriculture and to train professionals and students from all over the country)
Publication/s
  • Vulnerability to Rainfall-Induced Landslide of Three Communities in Infanta, Quezon, Philippines, International Journal of Sciences
  • Economic Vulnerability and Analysis of Adaptation Options to Coastal Erosion in San Fernando, La Union, Journal of Environmental Science and Management
  • Development of a GIS-Based Model for Predicting Rice Yield
Email Addressnelatoverosgmailcom
Online Profile