Rocío Aldeco-Pérez is a Research Associate Professor at Universidad Nacional Autónoma de México (UNAM), Faculty of Engineering at the Department of Computer Engineering. She also collaborates at the Computer Science and Engineering Posgraduate Program.
She holds a PhD in Computer Science from the University of Southampton in the area of provenance as secure evidence for automatic audits. Rocío also holds a Bachelor of Science and a Master of Science from the Benemerita Universidad Autonoma de Puebla, Mexico. During her studies she specialised in Computer Security.
She has led and collaborated in various research projects related to security, traceability and education. Currently, she is CO-PI at the Algorand Centres of Excellence MEGA-ACE in collaboration with Purdue University. At UNAM, she administrate the CISCO Hybrid Classroom and collaborates at the Artificial Intelligence Lab at UNAM.
She has also consulted and offered specialized courses to government and industry about privacy and security of information. In addition, she teaches courses related to Security and Cryptography at the Bachelor in Computer Engineering and the Master in Science and Engineering in Computing both at UNAM while continuing her research and supervising Bachelor’s and Master’s students.
Currently she is Head of Department of Computer Engineering and an active member of the AMEXCOMP Women's chapter to promote equality in Computer Science in Mexico
Her research interest are:
Privacy of information: Developing new techniques to preserve information privacy during processing of data (pseudo-anonymization, anonymization).
Decentralised and Distributed Authentication Protocols: Improving and developing new protocols that support trust through the use of cryptographic evidence and provenance (i.e. blockchain and digital audits).
Applications of Blockchain to improve services: Creating government digital services that are transparent, traceable and trustworthy by the use of Blockchain.
Information Security: Improving and adapting information security techniques to new scenarios (i.e. Security in IoT, Anonymization in Data Science, Security and traceability in ML).