Dr. Marta Victoria

Associate Professor

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Biography

Marta Victoria Pérez is an Associate Professor in the Department of Mechanical and Production Engineering at Aarhus University and a part of the Novo Nordisk Foundation CO2 Research Center. She has contributed to several research outputs and projects focused on advanced energy solutions and renewable energy investments. Throughout her career, she has worked on numerous initiatives including the AURORA project aimed at enhancing European energy awareness and the HyPErFarm project which investigates hydrogen photovoltaic electrification. Her work is recognized for its impact, and she has received multiple awards including the Outstanding Doctorate Award and the Stuart R. Wenham Young Professional Award. Marta actively engages in academic discourse regarding decarbonization and energy systems, presenting her findings in various conferences and seminars. She has a significant body of publications and continues to play a pivotal role in advancing research in fluids energy, contributing to both academic and public understanding of sustainable energy technologies.

Research Interests

Experience

Associate Professor

2020-01-01 — Present

Aarhus University • Aarhus, Denmark

Teaching and research in Mechanical and Production Engineering, focusing on renewable energy systems.

Awards

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Outstanding Doctorate Award

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Stuart R. Wenham Young Professional Award

2022-06-01
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Young Researcher Paper Award

2011-12-01

Requirements for Aarhus University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Overall
Required:6.5
TOEFL
Total
Required:83
Prerequisites
Bachelor's degree in a relevant field Specific credit requirements in programming, algorithms, and computer systems
Application Checklist
  • Official Bachelor's degree certificate
  • Official transcripts of records
  • Course descriptions
  • Curriculum Vitae (CV)
  • Documentation of English language proficiency
Specialization Notes

Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.