About Me
Hello!
I'm Lucas Ventura, a Telecommunications master student at Universitat Politècnica de Catalunya (UPC) in Barcelona.
I graduated in Telecommunications Technologies and Services Engineering at Universitat Politècnica de Catalunya (UPC) in Barcelona spending one semester at Purdue University in United States as part of an exchange program.
During my master's, I joined the Image Processing Group at the Polytechnic University of Catalonia (UPC) under the supervision of Amanda Duarte and Xavier Giró and I did an internship at Telefónica Research under the supervision of Ferran Diego. I'm currently doing the master thesis at MIT CSAIL under the supervision of Antonio Torralba.
My main interests lay in Deep Learning and Computer Vision.
Besides research, I am passionate about reading, hiking, and programming.
My Curriculum
Education
External Researcher at MIT-CSAIL
Massachusetts Institute of Technology (MIT)Master Thesis under the supervision of Prof. Antonio Torralba.
Master’s degree, Telecommunications Engineering
Polytechnic University of Catalonia (UPC)Coursed “Machine Learning”, “Computer Vision”, “Deep Learning for Artificial Intellegence” and “Introduction to Research” among others.
Exchange program at the School of Electrical and Computer Engineering
Purdue UniversityCoursed “Introduction To Data Science”, “Software Engineering Tools Lab” and Final thesis.
Bachelor’s degree in Telecommunications Technologies and Services Engineering
Polytechnic University of Catalonia (UPC)Speciality in Telecommunications Systems.
Experience
Research Intern
Telefónica ResearchResearch on multimodal embeddings under the supervision of Ferran Diego and Jordi Luque.
Graduate Research Fellow
Polytechnic University of Catalonia (UPC)Research on Deep Learning applications to computer vision under the supervision of Xavier Giró and Amanda Duarte.
Google Summer of Code student with GNSS-SDR
Google Summer of CodeGNSS-SDR is an open source Global Navigation Satellite Systems software-defined receiver, written in C++, that implements the full baseband processing chain from raw digital samples up to the computation of GNSS observables (pseudorange and carrier phase measurements) and position fixes.
Optimal Frame Synchronization Detection: The goal of this project was to implement and validate an optimal detector, based on Massey’s frame synchronization metric.
Challenge Based Innovation
IdeaSquare, CERNChallenge Based Innovation (CBI) is a six-month project, where multidisciplinary student teams and their instructors collaborate with researchers at CERN to discover novel solutions for the future of humankind. The projects are an elaborate mixture, where societal, human-driven needs meet research at CERN.
Summer Intern
Beta RobotsWorked on robot kinematics (Universal Robot UR10) and electronics.
Contact me
You can send me an email to lucas (at) lucasventura.com or DM me: Message @Lucas__Ventura