About

I am applying to PhD programs starting in 2027. Get in touch →

Publications

1. ICASSP 2027 WASAIUnder review

   Light Helps Wi-Fi: Fusing Visible Light and Wi-Fi Sensing Activity and Fall Recognition

   D. Mousinho, J. Li, G. Li, W. Ding, F. N. Khan, E. E. Kuruoğlu

   IEEE ICASSP 2027 Workshop on Wireless AI Sensing (WASAI)

   A synchronized visible-light + Wi-Fi sensing testbed, a 12-participant dataset including falls, an information-theoretic model of light/Wi-Fi complementarity, and a Bayesian decision-level fusion that stays robust when one modality is degraded.

2. IHC 2024

   How Can We Help Visually Impaired People Feel Safe During Payments in the Physical World

   D. Mousinho, J. Beltrão, D. Trevisan, V. Romero

   Extended Proceedings of the XXIII Brazilian Symposium on Human Factors in Computational Systems (IHC 2024), Brasília, pages 86 to 90

   Original title in Portuguese: "Como podemos ajudar pessoas com deficiência visual a se sentirem seguras durante pagamentos no mundo físico"

   ★ Top scores for presentation and communication, Posters & Demos track

   DOI

   BibTeX

   @inproceedings{mousinho2024ihc,
     author    = {Mousinho, Dario and Beltrão, J. and Trevisan, D. and Romero, V.},
     title     = {Como podemos ajudar pessoas com deficiência visual a se sentirem seguras durante pagamentos no mundo físico},
     booktitle = {Anais Estendidos do XXIII Simpósio Brasileiro sobre Fatores Humanos em Sistemas Computacionais (IHC 2024)},
     pages     = {86--90},
     year      = {2024},
     publisher = {SBC},
     address   = {Brasília, Brazil},
     doi       = {10.5753/ihc_estendido.2024.243884}
   }

Projects

Research Experience

• Since 2026

  Graduate Researcher

  Time-Varying Data Science Group, Tsinghua University

  • Built a visible-light + Wi-Fi sensing testbed and a 12-participant activity/fall dataset
  • Bayesian decision-level fusion robust to a degraded modality; lead author of the ICASSP 2027 workshop submission
• 2025

  Research Volunteer

  Institute of Future Human Habitat, Tsinghua University

  • Parametric digital twin exhibited at the Bi-City Biennale of Urbanism\Architecture (UABB)
• 2024 to 2025

  Undergraduate Researcher

  MidiaCom Lab, Universidade Federal Fluminense

  • Real-time heart-rate estimation from Wi-Fi CSI on a Raspberry Pi (“HeartBeat” demo)

Teaching

• Since 2026

  Teaching Assistant, Communication Strategy

  Tsinghua University

  • Course materials, scheduling, assignments and grading (Spring and Fall 2026)

Industry Experience

• 2020 to 2025

  Senior Product Manager

  Stone (NASDAQ: STNE), Brazil

  • Product Analyst (2021 to 2022) · Product Intern (2020 to 2021)
  • Led the Ton Android (T3 Smart) POS, scaling from under 10,000 users to Stone’s 3.9M+ customer base
  • Integrated 9 Android hardware devices with manufacturers incl. Ingenico, Sunmi (Xiaomi), Tectoy and Positivo
  • Championed accessibility features for visually impaired users, leading to the IHC 2024 publication

Education

• 2025 to 2027

  Master of Engineering, Electronic and Information Engineering (AI and Innovative Design)

  Tsinghua University

  • GPA 3.9/4.0 · Chinese Government Scholarship (CSC), full scholarship
  • Thesis: Multimodal Visible Light and Wi-Fi Sensing for Robust Indoor Human Activity Recognition (proposal defended June 2026)
  • Advisor: Prof. Ercan Engin Kuruoğlu · Co-advisor: Prof. Faisal Nadeem Khan
  • Student ambassador representing Brazil
• 2019 to 2024

  B.Sc., Computer Science

  Universidade Federal Fluminense (UFF), Brazil

  • Undergraduate research on Wi-Fi CSI signal processing for vital-sign monitoring
  • Invited with honors to continue to a Master’s degree based on research performance

Honors & Awards

• 2025 to 2027Chinese Government Scholarship (CSC), Type B, full Master's scholarship
• 2025Best Documentation and Tutorial Award, Capstone AI course, Tsinghua University
• 2025Best Project Award, Product Design and Innovation course, Tsinghua University
• 2024Top scores for presentation and communication, IHC 2024 Posters & Demos
• 2024Invited with honors to a Master's program, Universidade Federal Fluminense

Skills

Programming & ML

Python, PyTorch, TensorFlow, scikit-learn, SQL, Git, Linux, LLM applications and agents

Signal processing & hardware

Wi-Fi CSI (ESP32), photodiode / VLC sensing, FPGA data acquisition (Zynq), Raspberry Pi, spectral analysis, filtering

Beyond Research