Pasquale De Rosa

Welcome to my website! I’m Pasquale De Rosa, a Ph.D. candidate in Computer Science at the University of Neuchâtel, specializing in machine learning for secure and efficient blockchain systems. My current research focuses on malware detection in smart contracts via bytecode analysis. Previously, I explored trend correlations in cryptocurrency markets using time series forecasting models.

Outside of my academic work, I’m a passionate retro gamer, comic book enthusiast, and music lover—especially when it comes to rock and metal. I’m also a beginner keyboardist, exploring the world of music in my free time. Traveling is another big passion of mine, and I support the use of open-source software.

On this site, you’ll find a snapshot of my work and interests. Check out my interactive CV and browse through my full list of publications.

I also run a blog, where I dive into tech topics and share insights from my latest research, aiming to make complex ideas accessible to everyone.

Enjoy exploring!

Latest post

Nov 29, 2022	Can we predict the unpredictable? Forecasting cryptocoin trading prices with Machine Learning techniques - LexTech Institute

Latest publication

DSN

PhishingHook: Catching Phishing Ethereum Smart Contracts leveraging EVM Opcodes

Pasquale De Rosa, Simon Queyrut, Yerom-David Bromberg, Pascal Felber, and Valerio Schiavoni

In 55th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Naples, Italy, Jun 2025

Accepted for publication on 2025-03-19

Bib

@inproceedings{dsn25,
  author = {De Rosa, Pasquale and Queyrut, Simon and Bromberg, Yerom-David and Felber, Pascal and Schiavoni, Valerio},
  booktitle = {55th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)},
  title = {PhishingHook: Catching Phishing Ethereum Smart Contracts leveraging EVM Opcodes},
  year = {2025},
  publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
  address = {Los Alamitos, CA, USA},
  location = {Naples, Italy},
  month = jun,
  note = {Accepted for publication on 2025-03-19},
}