Oscar Mondragon Campos

CCSB 3.1020
Chemistry and Computer Science Building
El Paso Texas, 79968
Phone Logo(915) 747-8015
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Oscar Adrian Mondragon Campos
Clinical Associate Professor, Computer Science

Dr. Mondragon is a clinical associate professor in the Computer Science department at the College of Engineering. He is director of the Master of Science in Software Engineering. Dr. Mondragon defined the strategy, developed five courses, and was program director of the new Online MS in Systems Engineering from Fall 2014 to Fall 2019. He has published conference papers and journals on formal requirements’ specification, requirements verification, property specification patterns, requirements modeling, process improvement, SEI AIM method, TSP for services, Service levels, and CMMI and INCOSE Handbook mappings. and smart cities Dr. Mondragon's research interest is on verification & validation, requirements engineering, process improvements in small settings, adapting TSP for software engineering and service systems, assessing processes in medical devise organizations, and smart cities.Dr. Mondragon has been working as a Senior Consultant, guiding companies in their implementations of quality models such as CMMI, PSP, TSP, AIM, and MDDAP. Dr. Mondragon is a certified Intro to CMMI instructor, PSP Professional, TSP coach, CMMI-MDDAP ATM, and INCOSE ASEP. Dr. Mondragon facilitates process improvement projects and develops skills in project management, project monitoring, risk management, requirements engineering, configuration management, measurement and analysis, process quality assurance, verification and validation, process definition and performance, and quantitative project management. He coaches self-management teams, develops team-building skills, develops defect removal skills for individuals and teams, carry gap analysis, and prepares engineering process groups. He was a core committee member for the IEEE CSDP certification and is IEEE senior member.


  1. Process Improvement
  2. Quality Assurance
  3. Verification and Validation
  4. Formal Methods
  5. Process Performance Models
  6. Requirements Engineering
  7. Self-managed Teams
  8. Medical devises
  9. Quantitative Process Management