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Graduate Research Assistant Resume Example

Resume Score: 100%

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GRADUATE RESEARCH ASSISTANT
Education
2019
Ph.D: Computer ScienceUniversity of Illinois - Urbana-Champaign, IL
2016
Master of Science: Applied Mathematics Optimization and AlgorithmsUniversity of Illinois - Urbana-Champaign, IL
2013
Bachelor of Science: Mechanical EngineeringCalifornia Institute of Technology - Pasadena, CA

Minor in Control and Dynamical Systems

2013
Bachelor of Science: Business Economics and ManagementCalifornia Institute of Technology - Pasadena, CA
Experience
02/2015 to 05/2015
Graduate Research AssistantUniversity of Illinois - Urbana-Champaign, IL
  • Supervisor: Steven M. LaValle
  • Worked on potential virtual reality applications and improving user experience through the design of novel 3D user interfaces. Explored the feasibility of shared environments and virtual social spaces for applications such as medical simulations and training, language learning, and gaming.
08/2013 to 08/2014
Mechanical EngineerSchlumberger Ltd. - Houston, TX
  • Managers: Grigory Arauz, Tostein Hauge, Jason McCann
  • Worked on various aspects of a product's lifecycle, such as market opportunity identification, requirements gathering, concept design generation, functional hierarchy planning, detailed drafting and design, preliminary analysis, prototyping, testing, and production release.
11/2012 to 06/2013
Senior Thesis in Control and Dynamical SystemsCalifornia Institute of Technology - Pasadena, CA
  • Supervisors: Richard Murray (Caltech), Eugene Lavretsky (Boeing)
  • Aimed to compare two different adaptive command-tracking flight control systems for high-fidelity nonlinear aircraft models on the basis of appropriate metrics of tracking performance, control effort, robustness to uncertainty, and stability of the closed-loop system. Explored pertinent issues such as the effect of added time delay in the control signal due to communication and processing, and the presence of parametric uncertainty in the plant dynamics resulting in loss of control effort.
06/2012 to 09/2012
Summer Undergraduate Research FellowNASA Jet Propulsion Laboratory (JPL) - Pasadena, CA
  • Mentors: Joel Burdick, Tom Allen, Nicholas Hudson, Paul Backes
  • Explored the feasibility of using data from capacitive array tactile sensors implemented on dexterous robotic hands for estimation of the position, orientation and geometry of unfamiliar objects. Aimed to build an interpretation algorithm to help determine "the next best touch" of the robot fingers that maximizes the information content of each tactile sample, and extracts the most useful parameters for distinguishing contact type and inferring local geometry.
Core Qualifications
  • Programming: Python, C++, Java, R

  • Tools: MATLAB, Octave, Weka, Mathematica, Unity3D


  • CAD/CAM: Creo Parametric (Pro/ENGINEER, Pro/Mechanica), SolidWorks, ANSYS, ABAQUS
  • Knowledge "Comfort Zones":

  • Machine Learning
  • Artificial Intelligence
  • Data Analysis
  • Control Systems
  • Computer Vision
  • Natural Language Processing
Skills
3D, abc, ANSYS, Artificial Intelligence, CAD/CAM, Civil Engineering, concept, content, Data Analysis, drafting, energy-efficient, ENGINEER, functional, interpretation, Java, Machine Learning, market, Mathematica, Mathematics, MATLAB, Mechanical, Mechanical Engineering, Modeling, Natural Language Processing, Navigation, next, novel 3, Processes, Programming, prototyping, Python, Reality, requirements gathering, Robotics, robotic, SolidWorks, Statistics, type, Vision
PROJECTS

Sentiment Analysis on Real-Time Twitter Feed 

Attempted to evaluate the usefulness of real-time Twitter status updates for large-scale opinion mining and controversial events detection across a wide collection of present-day topics in society, by building a sentiment-analysis algorithm that can reliably classify user messages as positive or negative with respect to a specified query term.

Image Boundary Detection and Localization from Multiple Cues 

Attempted to detect and localize boundaries of objects in images by using a combination of cues: texture, brightness, and color information associated with natural boundaries. Image segmentation is treated as a classification problem, with the training data being human-annotated images serving as ground truth, and the output of the classifier being the posterior probability of a pixel lying on an image boundary, based on the cue combination.

US Traffic Sign Detection and Recognition 

Aimed at building a fast, reliable algorithm for US traffic sign detection and classification from a video stream with the potential to be implemented in real time, by using SIFT to detect points of interest in a frame, and a k-d tree search for keypoint matching between a query (test) frame, and a source (train) frame.

View Interpolation from Multiple Images 

Given a set of reference photos of a scene, attempted to interpolate a view of the scene taken by a new camera not in the initial set. Provided with the camera parameters for each of the reference images, and a sparse point cloud including the location and normal for each point, five different methods were used for constructing some part of the output image based on the input images: ray casting, splatting, compositing, 3D meshing, and panorama stitching.

Perception of Motion in Virtual Reality  


Aimed to explore the effects of changing motion perspective in virtual worlds, and how altering the laws of the familiar physical world, which users expect to be mirrored in virtual reality, relates to user confusion, disorientation or discomfort. Three different virtual reality experiments were designed with the intention of triggering a particular psychological effect, and assess how simple modifications of the environment that cause it to behave abnormally could potentially be discomforting to the user.

Certifications
Control System Theory and Design (ECE 515) Artificial Intelligence (CS 440) Machine Learning (CS 446) Virtual Reality (CS 498SL) Computer Vision (CS 543) Machine Learning for Signal Processing (CS 598PS) Caltech: Methods of Applied Mathematics (ACM 100abc) Stochastic Processes and Modeling (ACM 116) Applied Statistics and Data Analysis (ACM 118) Optimal Control (CDS 110b), Adaptive Control (CDS 270) Advanced Robotics: Navigation and Vision (CS 132)
Professional Affiliations
Caltech Alumni Association IEEE Student Network Society of Women Engineers Engineers for A Sustainable World
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Resume Overview

Companies Worked For:

  • University of Illinois
  • Schlumberger Ltd.
  • California Institute of Technology
  • NASA Jet Propulsion Laboratory (JPL)

School Attended

  • University of Illinois
  • California Institute of Technology

Job Titles Held:

  • Graduate Research Assistant
  • Mechanical Engineer
  • Senior Thesis in Control and Dynamical Systems
  • Summer Undergraduate Research Fellow

Degrees

  • Ph.D : Computer Science
    Master of Science : Applied Mathematics Optimization and Algorithms
    Bachelor of Science : Mechanical Engineering
    Bachelor of Science : Business Economics and Management

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