Jessica Claire
  • Montgomery Street, San Francisco, CA 94105
  • Home: (555) 432-1000
  • Cell:
Professional Summary & Area of interest

As a computer scientist student and control engineer proficient in programming and design algorithms as well as control and mechanical engineering. With diverse background and skills in machine learning, robotics, algorithm design control system and instrumentation in design and implementation.

Area of interest:

Machine learning, robotics, distributed algorithms,sensor network, computer graphics, graph theory, computer graphics, computer vision, computational geometry, game development, advanced control systems, instrumentation

Ph.D: Computer Science, Expected in 2014
Rice University - Houston, Texas

GPA: 3.51

Coursework: Algorithmic Robotics, Bioinformatics - Sequence Analysis, Advanced Robotic Lab, Computer Networks, Statistical Machine Learning Computer Graphics, Introduction to Robotics (Manipulators), Design and Analysis of Algorithms, Computer Architecture Introduction to Computer Science (C++ programming), Automata.

M.S: Electrical Engineering - Control Systems, Expected in Oct 2007
Tarbiat Modares University - Tehran,

Coursework: Adaptive Control, Optimal Control, Neural Networks, Multi variable Control, System Identification Pattern Recognition, Advanced Engineering mathematics. Robust Control and Linear Matrix Inequalities.

B.S: Electrical Engineering - Control Systems, Expected in July 2005
K.N. Toosi University of Technology - Tehran,

Coursework: Linear system control, Industrial control, Intelligent systems and fuzzy control, Telecommunication, Electronic system design 1 and 2, Electronic circuits, Fuzzy control, Digital control, Operational research, statistics and probability in engineering. Fundamental of Economy

Skill Highlights
  • Complex problem solver
  • Project management
  • Expert in MATLAB
  • Expert in C, C++, and Python
  • 3D design and simulation software
  • Simulation: Box2D, Mathematica, Java Script, WinCC
  • Design: Photo Shop, AutoCAD.
  • Embedded system: Python, C/C++Operating Systems: Linux Ubuntu 10.04, Windows
  • Robotics Software: MELFA-Basic IV, ServoManager, COSIROP
  • System Control: PLC S7.
Research Assistant, Computer Science, 03/2011 to Current
University Of VermontBurlington, VT,
  • Design distributed algorithms and system control for robotic systems both in theory and practice.
  • Implement algorithms above on real robot systems.
  • Leading undergraduate students in Multi-Robot System Lab, Rice university
Control and Instrumentation Engineer, 2008 to 05/2010
Digital SurgeonsNew Haven, ,
  • Consultant and designer of various instrumentation and control documents in the field of Gas and petroleum: Instrument data sheet design and vendor's offer analyzing, Design of FCS and ESD Logic Diagram Instrument hookup drawings, etc.
  • Visiting Professor for undergraduate courses (logic Design, Instrumentation, Electronic circuits lab), Electrical Engineering Dept.
  • Islamic Azad University, Tehran, Spring 2008 Teaching Assistant at Rice university for courses: Introduction to Engineering Systems (ENGI 128), fall 2011, Rice University.
  • Algorithmic Thinking (COMP 182), spring 2011, Rice University.
  • Supervisor of undergraduate students for doing their thesis on visual Servoing, Robotic Lab, K.N.
  • Toosi university of Technology, Tehran Iran.
Visiting Professor, 2008 to 08/2008
Islamic Azad UniversityCity, STATE,

Instructor of course in electrical engineering :

  • Logic Design
  • Instrumentation
  • Electronic circuits lab
Project Leader , 2004 to 2008
ARAS Robotic CommunityCity, STATE,
  • Led undergraduate student in robotic projects, specially for eye-in-hand robots.
  • Designed new algorithms for a 5-DOF arm robot as a part of computer integrated manufacturing systems(CIMS).
  • Designed CNC machines in CIMS.
HMI and PLC Expert, 2005 to 2006
Farine Saanat CoCity, STATE,

Designed PLC and HMI for a sugar product company.

Experted in WinCC.

Project Expert and Researcher, 2002 to 2003
Power Research Center CoCity, STATE,

Analyzed The process of product, transmit and distributed the electricity power. Statistical analysis in both performance and costs.

Accomplishments and Publications
  • Leading a team of undergraduate students for several projects in robotics in Multi- Robot System Lab, Rice University.
  • Designed a novel algorithm for motion planning autonomous vehicles.
  • Designed a new algorithm for the recovery of large number of agents.
  • Collaborated in a uniform massive control project to position control of a very large scale system by using uniform control/
  • Mentored control systems and robotic projects in ARAS team, Iran.


  • G.Claire, J. McLurkin, “K redundant Trees for Safe and efficient Multirobot Recovery in Complex Environments”, Autonomous Robots [Ready to submit].
  • G.Claire, E.Masehian, “Robot Path Planning in 3D Space Using Binary Integer Programming“, InternationalJournal of Mechanical Systems Science and Engineering,bVolume 29, pp. 26-31, May 2007.
  • G. Claire, and J.McLurkin, "Distributed Configuration Space Path Planning for Multi-Robot Manipulation ", ICRA 2014 [to be submitted].
  • G. Claire, L. Schmidt, M.Jellins and J.McLurkin, "K-redundant Trees for Safe and Efficient Multi-robot Recovery in Complex Environments", International Symposium to Research Robot (ISRR) 2013 [submitted].
  • A. Becker, E.D. Demaine,S.P. Feketez, G.Claire, James McLurkin, "Reconfiguring Massive Particle Swarms with Limited, Global Control", ALGOSENSORS 2013, France, Sept 2013
  • A.Becker, G.Claire, J.Werfel, M.Rubenstein, J.McLurkin,”Massive Uniform Manipulation:Controlling Large Populations of Simple Robots with a Common Input Signal”, IROS 2013.
  • M.Rubenstein, A.Cabrera, J.Werfel, G.Claire, J.McLurkin, R. Nagpal, "Collective Transport of Complex Objects by Simple Robots: Theory and Experiments, AAMAS 2013, MN, USA.
  • G.Claire, J. McLurkin, “MaximumLeaf Spanning Trees for Efficient MultiRobot Recovery with Connectivity Guarantees”, International Symposium of Distributed Autonomous Robotic Systems (DARS), Nov 2012.
  • G. Claire, E.Masehian, M.T.H. Beheshti, ”Binary Integer Programming Model of Path planning for Point Robots”, IEEE Industrial Electronic society Conference(IECON), Taiwan, Nov 2007.
  • E.Masehian, G.Claire,” Motion Planning and Control of Mobile Robot using Linear Matrix Inequalities”, In proceedings of IEEE Conference on Intelligent Robotics and Automation(IROS), CA, USA, Nov-Oct 2007
  • G.Claire, M.T.H. Beheshti, ”Applied H infinity controller design for Flexible Transmission System”, In proceedings of IEEE Industrial Electronic society Conference, Taiwan, Nov. 2007.
  • G.Claire, E.Masehian, “Novel Fuzzy Control of Bi-wheeled Mobile Robot on Reference Path”, Spain, ICABB 2010.

Research Projects

K-redundant Trees for Safe and Efficient Multi-robot Recovery:

This projects presents a self-stabilizing distributed algorithm to recover a large number of robots safely and efficiently in a goal location. Previously, we designed a distributed algorithm, called DMLST, to recover robots Our approach constructed a maximum-leaf spanning tree for physical routing, such that interior robots remained stationary and leaf robots move. In this paper, we extend our approach to k-DMLST recovery that provides k-connectivity in the network, meaning that each robot is connected to the goal location through k trees. This redundancy provides stronger network connectivity by reducing the probability of losing the parent during recovery. We also propose an efficient navigation algorithm for the motion of robots which guarantees forward progress during the recovery. k-DMLST recovery has been tested and compared with other methods in simulation, and implemented on a physical multi-robot system. A basic recovery algorithm fails in all experiments, and DMLST recovery is not successful in few trials However, k-DMLST recovery efficiently succeeds in all trials.

Massive Uniform Manipulation:

In this project we investigate control of mobile robots that move in a 2D workspace using three different system models. We focus on a model that uses broadcast control inputs specified in the global reference frame.In an obstacle-free workspace this system model is uncontrollable because it has only two controllable degrees of freedom—all robots receive the same inputs and move uniformly. We prove that adding a single obstacle can make the system controllable, for any number of robots. We provide a position control algorithm, and demonstrate through extensive testing with human subjects that many manipulation tasks can be reliably completed, even by novice users, under this system model, with performance benefits compared to the alternate models. We compare the sensing, computation, communication, time, and bandwidth costs for all three system models. Results are validated with extensive simulations and hardware experiments using over 100 robots.

Collective Transport of Complex Objects by Simple Robots :

In this project we investigate a simple decentralized strategy for collective transport in which each agent acts independently without explicit coordination. Using a physics-based model, we prove that this strategy is guaranteed to successfully transport a complex object to a target location, even though each agent only knows the target direction and does not know the object shape, weight, its own position, or the position and number of other agents. Using two robot hardware platforms, and a wide variety of complex objects, we validate the strategy through extensive experiments. Finally, we present a set of experiments to demonstrate the versatility of the simple strategy, including transport by 100 robots, transport of an actively moving object, adaptation to change in goal location, and dealing with partially observable goals.

Honors and Awards

Awards and Honors:

  • Awarded "Grace Hopper Conference Scholarship", Minneapolis, Oct 2013.
  • Awarded “3rd Best Graduate Poster”, ECE affiliates, Rice University, April 2013.
  • Nominated for “Best Student Paper”, presented in DARS 2012.
  • Awarded “Student Travel Support Scholarship”, DARS 2012.
  • Awarded “3rd place in Engineering Design Competition”, Rice University, Feb 2011.
Professional Affiliations
  • Research Assistant of Prof. James McLuirkin, multi-Robot System lab, Rice university, Apr 2011 -present.
  • Active member of C-Ster Society, Women Computer Scientist, at Rice University, 2010 - present
  • Secretary of Rice Iranian Society 2010 - 2011
  • IEEE student member of Robotic and Automation society and Computer Society since 2007
  • Member of Rice Choral 2011 - present.

By clicking Customize This Resume, you agree to our Terms of Use and Privacy Policy


Resumes, and other information uploaded or provided by the user, are considered User Content governed by our Terms & Conditions. As such, it is not owned by us, and it is the user who retains ownership over such content.

How this resume score
could be improved?

Many factors go into creating a strong resume. Here are a few tweaks that could improve the score of this resume:


resume Strength

  • Length
  • Personalization
  • Strong Summary
  • Target Job

Resume Overview

School Attended

  • Rice University
  • Tarbiat Modares University
  • K.N. Toosi University of Technology

Job Titles Held:

  • Research Assistant, Computer Science
  • Control and Instrumentation Engineer
  • Visiting Professor
  • Project Leader
  • HMI and PLC Expert
  • Project Expert and Researcher


  • Ph.D
  • M.S
  • B.S

By clicking Customize This Resume, you agree to our Terms of Use and Privacy Policy

*As seen in: