Name: Jose Plaud
Pronouns: he/him
Institution: University of Puerto Rico – Rio Piedras
Department: Computer Science
Biography:
I’m a CS junior at University of Puerto Rico, Rio Piedras. I’m most interested in AI/ML and data engineering. I want to leverage these technologies to make a positive impact in my community. This motivation led me to develop CableGuard, an Object Detection Algorithm to detect cable damage in power lines and bridges within hurricane-prone regions. I took part in an energy justice project within the Intro to HPC Bootcamp and most recently, got hired as an Undergraduate Machine Learning Researcher at my institution. I have the most experience with Computer Vision but look forward to learning about NLP and other Deep Learning concepts.
Academic Status: Undergraduate Student
Year in program: 3rd
Research Area/Department: Computer Science; Data Science; Machine Learning/AI
Other, specify:
Major/Specialty: Computer Science
Degrees Earned or in Progress: Bachelor of Science in Computer Science (In Progress)
What courses or academic preparation have you completed to prepare for a summer internship experience?
Data Structures, Cyber Security, Statistics, Calculus, Biology, Chemistry, and online courses regarding Deep Learning algorithms and databases.
Have you published any research or worked on research/technical projects? Yes
Where has your research been published or where have you conducted research/technical projects? I’m currently taking part of a machine learning research project regarding Computer Vision for large-scale video analysis of pollinator behavior. I recently took part of the Exascale Computing Project’s Intro to HPC Bootcamp, where I conducted analysis on the Top 500 High-Performance Computing systems, leveraging Perlmutter’s resources to visualize findings and propose data-driven solutions regarding energy efficiency.
Please describe your research/academic interests:
I’m most interested in AI, machine learning, and big data. I’m also interested in robotics, nanotechnology, and quantum computing.
Computational and Data Science Areas:
Computer Science; Data Analytics and Visualization; Machine Learning and AI; Quantum Computing and Information Science
Research Synergy:
I aspire to become a ML engineer in the future, DOE labs would be the best place for me to engage in cutting-edge projects and learn from some of the world’s brightest scientists. I want to leverage these concepts and make a positive impact on the world.
Motivation:
I participated in the Intro to HPC Bootcamp and truly enjoyed the experience. I learned a lot and it was a great networking opportunity. This motivates me to keep pursuing opportunities within the Sustainable Horizons Institute.
Lightning Talk Title: Undergraduate Computer Vision Researcher Looking for AI/ML Projects