EDUCATION
Carnegie Mellon University, College of Engineering
Ph.D student in Electric and Computer Engineering Degree Expected May 2024
University of North Carolina at Chapel Hill, College of Arts and Science
B.S in Physics & Computer Science with Highest Honors May 2019
Minor in Mathematics
- Honors Thesis: Unsupervised learning of the phase transitions for 2D Ising Model
- Honors Thesis: A frameless image sensor with application in astronomy
PUBLICATION
Rodríguez, N., & Hu, Yi. (2020). On the steady-states of a two-species non-local cross-diffusion model, Journal of Applied Analysis, 26(1), 1-19. doi: https://doi.org/10.1515/jaa-2020-2003
RESEARCH EXPERIENCE
Carnegie Mellon University
Aug. 2019 - present
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Doctoral Research: Energy-aware edge resource management and program abstraction for multi-tenant IoT systems
Advisors: Bob Iannucci, Carlee Joe-Wong
Extend the dataflow graph to capture hardware, software and timing constraints for IoT programs, and use the representation to develop an optimization framework for distributed multi-tenant IoT systems that enables system-level joint workload optimization and coordination across applications.
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Research: Intelligent communication for disaster response
Advisors: Bob Iannucci, Carlee Joe-Wong
Design algorithms to coordinate device transmission in an emergency scenario that optimize the energy usage;
Implement a simulator to evaluate the designed algorithms by testing and benchmark comparison.
University of North Carolina at Chapel Hill
Aug. 2015 - May 2019
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Honors Thesis: Unsupervised learning for quantum physics with Monte Carlo simulation
Advisors: Joaquín E Drut
Researched on leveraging dimension reduction techniques to extract phases and phase transitions directly from the Monte Carlo simulation of many-body configurations of a physical system.
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Honors Thesis: System design of a spiking-based asynchronous frameless imaging architecture
Advisors: Montek Singh
Designed and developed the architecture of an image sensor whose output is continuous stream of asynchronous pixel updates, with improvements on the dynamic range, color sensitivity and granularity of gradations of the camera;
Evaluated and analyzed various design trade-offs (circuit size and speed) via Verilog behavioral simulation and SPICE electrical simulation.
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Research: Non-lineal non-local cross-diffusion model under constraints
Advisor: Nancy Rodríguez
Formalized a nonlinear nonlocal cross-diffusion model that captured the behavioral patterns of biological groups subject to self-interactions (intra-species) and cross-interactions (inter-species), and the effect of environmental constraints;
Created a simulator that implemented a numeric finite-volume scheme with a gradient flow structure to simulate the multi-group dynamics, and implemented the scheme under both one-dimensional and two-dimensional cases utilizing MATLAB.
TEACHING EXPERIENCE
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Teaching Assistant, CMU Department of Electrical and Computer Engineering
Sep. 2020 - present
Course: How to Write Low-Power Code for the IoT?
Responsibilities: design and administer the homework, grade homework assignments and quizzes, lead the weekly lab sessions, and provide lab instructions to the students so that they have hands-on experience of programming IoT devices and optimizing the power consumption
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Teaching Assistant, UNC Department of Computer Science
Jan. 2017 - May 2017
Course: Computer Organization and Architectures
Responsibilities: explained challenging concepts including assembly language, hardware interface architecture, and digital logic; maintained the class website and lab materials
HONORS/AWARDS
- Paul E. Shearin Outstanding Senior Award in Physics, UNC Department of Physics 2019
- Daniel C. Johnson Outstanding Junior Award in Physics, UNC Department of Physics 2018
SKILLS
- Software: MATLAB, Mathematica, EAGLE (Circuit Board Design), LabVIEW, Comsol (Finite Element Modeling)
- Programming: Python, C, C++, Java, JavaScript, Verilog, PHP, Julia