*** **** ** **, *** ****

Atlanta, GA - *****

678-***-****

Joan Devassy accdad@r.postjobfree.com

joandevassy.me/

Objective

Find a full-time position in Computer Vision Research and Development.

Education

MS, Computer Vision & Robotics, Georgia Tech, Atlanta, GA.

2011–2013

Advisor: Professor Henrik Christensen

BE, Computer Science and Engineering, Anna University, India.

2006–2010

Advisor: Professor R. Prabhakar

Industry Experience

May Robotics Research Intern, Honda Research Institute, Mountain View, CA.

2013–Aug Implemented a Driver Assistance System with integration of person head-tracking with RGBD

2013 camera, GPS-IMU pose estimation with Kalman Filtering and spoken driver-dialog. The

system was first tested in simulation before porting successfully to a Honda Pilot car.

May Robotics Software Intern, Neato Robotics, Newark, CA.

2012–Aug Interned with the R&D team at Neato, to design and implement of a simulation software suite

2012 for the Neato XV series of robots which allowed scene simulation and logging to make testing

easier. The system was deployed in the test suites of the company and a partner firm.

Academic Experience

Current Research Associate, Georgia Tech Research Institute.

Working on Data Analysis and Machine Learning algorithms for Worker Safety (Georgia State

Research Grant)

Aug Graduate Research Assistant, Aerospace, Transportation and Advanced Systems

2013–Dec Laboratory, Georgia Tech Research Institute.

2013 Machine Learning and Data Analysis algorithms for a Worker Safety assistive technology

system. (Georgia State Research Grant)

Aug Graduate Research Assistant, Center for Robotics and Intelligent Machines, Geor-

2012–May gia Tech, Atlanta, GA.

2013 Pose-estimation for moving objects using an inertial unit and camera coupled by a Kalman

Filter. (Boeing Grant)

Jan Graduate Research Assistant, Mobile Robots Laboratory, Georgia Tech.

2012–May Algorithms and mathematical framework for robot navigation inspired by primates, using a

2012 monocular camera (Office of Naval Research Grant)

Aug Graduate Research Assistant, Aerospace Systems Design Laboratory, Georgia

2011–Dec Tech.

2011 Smart Grid Power-System Analysis. (General Electronics grant)

Publications

Teruhisa Misu, Antoine Raux, Ian Lane, Joan Devassy, Rakesh Gupta "Situated

Multi-modal Dialog System in Vehicles", CHI ’14, ACM Human Factors in Computing

Systems (submitted ).

Arkin, R.C., Dellaert, F., and Devassy, J., 2012. "Primate-inspired Mental Rotations:

Implications for Robot Control", IEEE International Conference on Robotics and

Biomimetics (ROBIO 2012).

R.C. Arkin, F. Dellaert, J. Devassy, "Envisioning: Mental Rotation-based Semi-reactive

Robot Control", Technical Report GIT-MRL-12-03, 2012

Anush S., Joan D. Mary, "Quantum Computing - An insight into present technologies

and future applications", International Conference on Digital Factory, 2008.

Technical Experience

In order of proficiency

languages C, C++, Scheme/LISP, Python

systems Linux (Ubuntu), Windows

tools ROS (Robot Operating System), Matlab, R, Octave, Emacs, L TEX, Bash Scripting,

A

Git

libraries OpenCV, PCL, OpenGL, OpenNI

robots Baxter, Pioneer P3DX, Willow Garage Turtlebot, Kuka Industrial Robot Arm, Kuka

Youbot, Scorbot ER III

Relevant Coursework

Georgia Tech, Atlanta

computer Computational Science and Engineering Algorithms, Computational Complexity

science

computer Computer Vision, 3D Reconstruction for SLAM and Mapping

vision

machine Machine Learning, Probabilistic Graphical Models

learning

robotics An Introduction to Robotics Research, Robot Planning, Autonomous Robotics, Applied

Estimation for Robotics, Artificial Intelligence

controls Linear Systems and Controls, Nonlinear Systems

Honors

Graduate Research Assistantship for the duration of Master’s program (2011–2013),

Georgia Tech

Kerala State Merit Scholarship for the duration of Bachelor’s program, Anna University

Best University Final Project of the Year 2009-2010 for ’Multilevel Image Querying

Using Discrete Wavelet Transforms’ (team of 4)

Best Project of the Year 2008-2009 for ’A Chess Playing Robot’ (team of 2)

Master’s Research (2012-2013)

Real-time Pose-Estimation Using Visual-Inertial Sensor Fusion - An IMU-

Asus camera sensor array that can be mounted on mobile robots to obtain drift-

corrected pose estimates in indoor environments over long distances.

Undergraduate Research (2009-2010)

Multilevel Image Recognition Using Discrete Wavelet Transforms - Use

Wavelet Decomposition and machine learning to implement a pyramid-based technique

for a real-time image search engine.Won the Best Undergraduate Project Award in

Anna University, 2010

Academic Projects

IMU Enhanced Monocular Visual SLAM for Mobile Devices - Developed a

parallel tracking and mapping algorithm to perform 3D reconstruction using an IMU

and a monocular camera.

Low Cost Lane Detection for a Mobile Robot with a Monocular Camera -

Combined Hough line detection and a bag-of-words approach to detect lane markings

and predict the best action for a moving vehicle.

Sketch-based Image Retrieval using Visual Similarity using PCA, HOG

and SVM - Used HOG descriptors extracted from a sketched image to learn and

retrieve the most similar images from the PASCAL VOC 2007 dataset.

Easy Hand-tracking using Shape Context Classification and RANSAC -

Wrote a hand-tracking algorithm using computer vision and machine learning for

detecting hands in a video and tracking them from frame to frame.

A Greedy Clustering Algorithm for Speeding up Plane Detection on

Cuboidal Objects - A greedy algorithm that took advantage of object geometry to

exploit plane constraints for object detection.

A Computer Vision based Planning Strategy for teaching a Humanoid

Robot Sword-fighting - Used a RGBD camera for tracking a sword wielded by a

human opponent and tried to predict the next best ’play’ for the robot.

A Poker Game Engine Using Bayesian Inference Built a poker game engine

modelling the game using Bayesian Inference.

SLAM in Dynamic Environments with Factor Graphs and Levenberg-

Marquadt Optimisation - Modelled dynamic environments for a moving robot

using factor graphs and then built a map by doing error-optimization with landmark

measurements.

Implementation and Analysis of Cache-Aware Hash Tables - Exploited cache

characteristics for getting a high-performance hash table that was faster than cache-

oblivious ones.

A Chess Playing Robot aided by Artificial Intelligence and Computer Vi-

sion - Wrote and designed a chess engine that made game strategy using coin-

recognition on the chessboard.

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