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Computer Science Development

Location:
Providence, RI
Posted:
September 30, 2012

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Resume:

MARCELO HENRIQUE TEIXEIRA MARTINS

Department of Computer Science Phone: +1-401-***-****

Box 1910, 115 Waterman **.*******@**.*****.***

Brown University http://www.cs.brown.edu/ martins/

Providence, RI 02912

RESEARCH INTERESTS

Wireless networks, distributed systems, mobile computing, and data management.

EDUCATION

PhD, Computer Science

Brown University, Providence, RI, USA

Advisor: Assistant Prof. Rodrigo Fonseca

Master of Science, Information Science and Technology, March 2009

University of Tokyo, Tokyo, Japan

Advisor: Assoc. Prof. Kaoru Sezaki

Thesis title: \A Study on Localization Algorithms for Mobile Sensor Networks"

Bachelor of Science, Computer Science, August 2005

Federal University of Minas Gerais, Belo Horizonte, MG, Brazil

RESEARCH EXPERIENCE

Brown University, Providence, RI, USA

Advisor(s): Assistant Prof. Rodrigo Fonseca

PhD Student September 2009 { now

Energy profiling and management for networked embedded systems and smartphones

We try to understand how embedded applications spend energy in two fronts: wireless

sensor

nodes and smartphones. In the former front, we use the Quanto framework to determine the

breakdown of energy among hardware components over time. By associating energy

consumption

with high-level activities, we intend to create a framework that enables energy

management for

operations between nodes and internal scheduling. In the latter front, we use a similar

approach

by instrumenting the Linux kernel to collect energy-relevant events and associate them

with the

overall energy expenditure and process owners to enable application-level energy

profiling.

University of Tokyo, Tokyo, Japan

Advisor(s): Assoc. Prof. Kaoru Sezaki

Research Student, Master's Student April 2006 { July 2009

Localization Techniques for Mobile Ad-hoc Networks

Monte Carlo-based Localization in Mobile Sensor Networks: Based on the idea of

representing

location estimate as a probability distribution over the deployment area, we investigated

the

usage of probabilistic methods on the localization problem in mobile, error-prone

communication

networks. In special, we verified the effectiveness of particle filtering technology

applied to range-

free localization.

An RFID-based Positioning System for Mobile Ad-hoc Networks: In this research, we

proposed,

designed and built the software component for an envisioned national infrastructure in

Japan,

which aims at enabling ubiquitous safety-enhancing services by deploying RFID tags across

the

nation, developing novel positioning mechanisms, and providing key application services.

Federal University of Minas Gerais, Belo Horizonte, MG, Brazil

Advisor(s): Assoc. Prof. Linnyer B. Ruiz, Assoc. Prof. Di ogenes da Silva Jr.

Research Student September 2005 { March 2006

Energy Consumption Optimization in Wireless Sensor Networks

Development of an effective solution that allows for the reduction of power consumption

in sensor

nodes. Our proposal leverages radio transmission power adjustment and Quality of

Information

in a dynamic mechanism, named \Maximum Survival Algorithm". As a consequence, besides

obtaining the maximal probability of a node's survival, we can estimate how much energy

can be

saved through our technique.

Federal University of Minas Gerais, Belo Horizonte, MG, Brazil

Assoc. Prof. Linnyer B. Ruiz, and Prof. Antonio A. F. Loureiro

Undergraduate Student January 2005 { August 2005

Intrusion Detection for Wireless Sensor Networks

An intrusion detection system (IDS) acquires information related to attack techniques

from ma-

licious nodes inside the network and uses it to discern regular nodes from infringing

ones. We

modeled and implemented a simulator for intrusion detection in WSNs considering its

hardware

and energy restrictions, and also evaluated our model using a real testbed.

Federal University of Minas Gerais, Belo Horizonte, MG, Brazil

Advisor(s): Assoc. Prof. Linnyer B. Ruiz, and Prof. Jose M. Nogueira

Undergraduate Student August 2004 { December 2004

Applications for Wireless Sensor Networks (WSNs)

Vehicle Detection and Classification Using Wireless Sensor Networks: Development of a

frame-

work for vehicle detection using wireless sensor nodes. We proposed a distributed system

used for

discovery and categorization of automobiles. We could infer this output based on the

variance of

the Earth's magnetic field induced by the ferrous mass of moving vehicles.

TEACHING EXPERIENCE

Brown University

Providence, RI, USA

Grad Teaching AssistantFall 2011

CS167/9: Operating Systems. Professor Tom Doeppner.

Brown University

Providence, RI, USA

Head Teaching AssistantSpring 2011

CS160: Introduction to Embeedded and Real-Time Software. Professor Steven P. Reiss.

PROFESSIONAL EXPERIENCE

Intel Research, Seattle, WA, USA Supervisor: Benjamin Greenstein

Research InternJune 2010 { August 2010

Research and initial development of techniques for assessing the energy consumption of

mobile

platforms using application as apportioning containers. Performed power measurements on

the

next-generation Intel platform for embedded devices, named Moorestown.

Synergia, Belo Horizonte, MG, Brazil Supervisor: Ana Paula Ribeiro Atayde

Software Development

InternshipApril 2004 { July 2004

Modeling of functional processes using UML and development of software systems according

to the

company's expectations. Research and development of interactive user tools for the State

Lottery

Agency, giving special attention to usability issues.

AWARDS AND HONORS

Brown University Fellowship, USA, September 2009 { July 2010

Graduate studies scholarship, Ministry of Education, Culture, Sports, Science and

Technology

(MEXT), Japan, Apr 2007 { Mar 2009

Research scholarship,MEXT, Japan, Apr 2006 { Mar 2007

Undergraduate research fellowship,Brazilian National Council for the Scientific and

Technological

Development (CNPq), Brazil, Aug 2004 { Jul 2005

REFEREED PUBLICATIONS

SKILLS

Languages: Portuguese (native), English, Spanish (fluent), Japanese (advanced)

++

Programming Languages: Java, C/C, Python, Ruby, Lisp



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