Joao Tiago Aparicio
Scholar

Joao Tiago Aparicio

Google Scholar ID: HOcvuhMAAAAJ
University of Lisbon, Instituto Superior Técnico, INESC-ID
Network DataNetwork ScienceKnowledge DiscoveryGamificationAgent Systems
Citations & Impact
All-time
Citations
551
 
H-index
14
 
i10-index
17
 
Publications
20
 
Co-authors
16
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Research Experience
  • Assistant Professor, IST, University of Lisbon (Oct. 2025–Present): Teaching and research in Network Science and Information Processing and Retrieval.
  • Senior AI Engineer, OutSystems (Jun. 2025–Sep. 2025): Researching and deploying AI for a low-code platform.
  • Adviser to Secretary of State for Science, Ministry of Education, Science & Innovation, Portugal (Nov. 2024–Jun. 2025): Strategy and ML-based data extraction, integration, and processing.
  • Research Fellow, INESC-ID & LNEC, Lisbon (Sep. 2020–Oct. 2024): Multimodal urban data analysis (ILU project); AI for freight-transport integration (ADMIRAL); grant writing and management.
  • Teaching Assistant, Instituto Superior Técnico (Feb. 2020–Present): Taught courses including Data Administration, Information Processing and Retrieval, Network Science, AI, Machine Learning, System Analysis and Modelling, and Introduction to Programming.
  • Undergraduate Research Assistant, Instituto de Telecomunicações (Nov. 2018–Apr. 2019): Developed web scraping and text extraction algorithms.
  • Chair, ACM Student Chapter at ISCTE-IUL (Dec. 2016–Feb. 2019): Organized events, managed teams, and participated in coding competitions.
  • Chair, IEEE Robotics and Automation Society, Student Branch ISCTE-IUL (Oct. 2016–Jul. 2019): Built robots for 2 competitions and managed 2 teams.
  • Mentor, CoderDojo-LX (Apr. 2015–Oct. 2017): Taught programming and electronics fundamentals through project-based learning.
Education
  • Ph.D. in Computer Science and Engineering, Instituto Superior Técnico, University of Lisbon (May 2025), graduated with honors (GPA: 19/20). Supervised by Prof. Rui Henriques and Prof. Francisco C. Santos.
  • M.Sc. in Computer Science and Engineering, Instituto Superior Técnico, University of Lisbon (Oct. 2021), GPA: 18/20, thesis grade: 19/20, focus on data science and machine learning. Supervised by Prof. Rui Henriques and Dr. Elisabete Arsenio.
  • B.Sc. in Computer Engineering, ISCTE-IUL (Jul. 2019), GPA: 17/20, class delegate.
  • Deep Learning for AI and Computer Vision, Massachusetts Institute of Technology (Aug. 2019).
  • Designing Efficient Deep Learning Systems Program, Massachusetts Institute of Technology (Jul. 2018).