Project Assistant

WINLAB, Rutgers University

Phone: 616-***-****

New Jersey Technology Center

Gayathri Chandrasekaran Email: ********@**.*******.***

*** ***** * *****

www.winlab.rutgers.edu/~chandrga

North Brunswick, NJ 08902

SUMMARY Seeking a challenging full-time position in wireless industry or research laboratory.

Highly skilled and motivated professional with over 5 years of research experience

EDUCATION WINLAB, Rutgers University, NJ GPA: 3.9/4.0

Ph.D., Computer Science Expected: May 2011

WINLAB, Rutgers University, NJ GPA: 3.9/4.0

M.S, Computer Science Sep 2006-Oct 2008

Ohio State University, OH GPA: 3.7/4.0

Graduate Student Sep 2004-May 2006

Birla Institute of Tech. & Science (B.I.T.S), Pilani, INDIA GPA: 9.5/10

M.Sc. (Tech) Information Systems Aug 2000-Jun 2004

EXPERIENCE AT&T Research Labs, Florham Park, NJ May 2009 Sep 2009

Research Intern

Designed Algorithms for Vehicular Speed Estimation using GSM Signal Strength

Evaluated the performance of Algorithms using Real-Experimental traces

Nokia Research Centre(NRC), Palo Alto, CA Jun 2007- Sep 2007

Research Intern

Designed a Privacy Preserving Scalable Infrastructure for Mobile Advertising

Implemented a LBS called Virtual Posting and ported the application to Mobile Device

Proposed caching of location based data at the wireless routers for scalability and privacy.

WINLAB, Rutgers University, Piscataway, NJ Sep 2006-Aug 2009

Research Assistant

Department of CSE, Ohio State University, Columbus OH Sep 2004-Jun 2006

Graduate Student

Department of CS, Rutgers University, Piscataway, NJ Sep 2009 Present

Teaching Assistant

Department of CSE, Ohio State University, Columbus, OH Sep 2005 - Jun 2006

Teaching Assistant

Dept. of CS, Indian Institute of Science (IISc.), Bangalore, India May 2003 - July 2003

JNCASR Summer Research Fellow

AWARDS & University Fellowship at The Ohio State University Sep 2004 - Aug 2005

HONORS

JNCASR Summer Research Fellowship May 2003 Aug 2003

(one among the top 120 students selected by Indian Institute of Science)

Merit Scholarship Aug 2000 - Jun 2001

(Birla Institute of Technology & Science for maintaining a GPA of 10/10)

Certificate of Merit May 2000

(In All India Senior Secondary Certificate Examination for Topping chemistry )

PUBLICATIONS Conferences

1. Derivative Time Warping Algorithm for Vehicular Speed Tracking

Gayathri Chandrasekaran, Tam Vu, Alexander Varshavsky, Marco Gruteser, Rich

Martin, Jie Yang, Yingying Chen

Under Submission for Percom 2011

2. Vehicular Speed Estimation using GSM Signal Strength

Gayathri Chandrasekaran, Tam Vu, Alexander Varshavsky, Marco Gruteser, Rich

Martin, Jie Yang, Yingying Chen,

Proceedings of ACM International Conference on Ubiquitous Computing(UBICOMP), Sep

2010 [AR: 19%]

3. Detecting Identity Spoofs in 802.11e Wireless Networks

Gayathri Chandrasekaran, John-Austen Deymious, Vinod Ganapathy, Wade Trappe,

Marco Gruteser,

IEEE GLOBECOM, December 2009 [AR: 34%]

4. Empirical Evaluation of the Limits on Localization Using Signal Strength: Beyond Cram r-Rao

Bounds

Gayathri Chandrasekaran, Mesut Ergin, Jie Yang, Song Liu, Yingying Chen, Marco

Gruteser, Rich Martin

IEEE SECON 2009, June 2009 [AR: 19%]

5. DECODE : Detecting Co-Moving Wireless Devices

Gayathri Chandrasekaran, Mesut Ergin, Marco Gruteser, Rich Martin, Jie Yang, Yingying

Chen

IEEE MASS, Sep 2008 (short paper) [AR: 20%]

6. HIMAC: High Throughput MAC Layer Multicasting in Wireless Networks

Ai Chen, Gayathri Chandrasekaran, Dongwook Lee, and Prasun Sinha

IEEE MASS, Oct. 2006.

Journals

7. DECODE : Exploiting Shadow Fading to Detect Co-Moving Wireless Devices

Gayathri Chandrasekaran, Mesut Ergin, Marco Gruteser, Rich Martin, Jie Yang, Yingying

Chen

IEEE Transactions on Mobile Computing (TMC), Dec 2009, vol. 8 no. 12 (Extended Version

of Mass 2008 Paper)

8. High Throughput MAC Layer Multicasting over Time-Varying Channels

Ai Chen, Gayathri Chandrasekaran, Dongwook Lee, and Prasun Sinha

Elsevier Computer Communications (COMCOM), Volume 32, Number 1, pp 94-104, Jan.

2009 (Extended Version of MASS 2006 paper)

9. GRAIL: A General Purpose Localization System, Yingying Chen, Gayathri Chandrasekaran,

Eiman Elnahrawy, John-Austen Francisco, Konstantinos Kleisouris, Xiaoyan Li, Richard

P. Martin, Robert S. Moore, Begumhan Turgut,

Sensor Review, special edition, Localization Systems, Vol. 28, No. 2, pp.115-124, 2008.

10. Association Management for Data Dissemination over Wireless Mesh Networks

Dongwook Lee, Gayathri Chandrasekaran, Mukundan Sridharan and Prasun Sinha

Elsevier Computer Networks, 2007

Workshops & Symposium

11. Bootstrapping a Location Service Through Geocoded Postal Addresses

Gayathri Chandrasekaran, Mesut Ergin, Marco Gruteser, Rich Martin,

3rd Intl. Symposium on Location- and Context-Awareness (LoCA, held with UbiComp),

Sep. 2007 [AR: 31%]

12. Optimizing Broadcast Load in Mesh Networks using Dual Association

Dongwook Lee, Gayathri Chandrasekaran, and Prasun Sinha Invited Paper, In Proc. of

WiMESH (IEEE Workshop on Wireless Mesh Networks), Sep. 2005

SKILLS Programming languages: C, C++, Perl, Python, Shell scripting, JAVA, J2EE, J2ME

Tools: MATLAB, Wireshark, network and OS tools on UNIX/LINUX

TEACHING Computer Assisted Problem Solving for Business. Sep 2005 - Jun 2006

EXPERIENCE Graded exam & homework problems, conducted recitation and lab sessions and held

regular office hours.

Software Methodology Sep 2009-Dec 2009

Graded exam & homework problems and held regular office hours

Computer Architecture Jan 2010-May 2010

Graded exam & homework problems, conducted recitation/tutorial classes and held regular

office hours

Computer Security Sep 2010 - Present

Graded exam & homework problems, conducted recitations and held regular office hours

TALKS Vehicular Speed Estimation Using GSM Signal Strength from Mobile Phones

12th ACM International Conference on Ubiquitous Computing (UBICOMP 2010), Copenhagen,

Denmark

DECODE: Detecting Co-Moving Wireless Devices

Fifth IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS

2008), Atlanta, GA

DECODE : Exploiting Shadow Fading to Detect Co-Moving Wireless Devices

WINLAB, Industrial Advisory Board Meeting, June 2008.

Detecting Identity spoofs in 802.11e Wireless Networks

Rutgers University/University of Helsinki Ph.D. Student Workshop on Spontaneous

Networking 2008

POSTERS Vehicular Speed Estimation using GSM Signal Strength from Mobile Phones

WINLAB 20th celebrations and Industrial Advisory BoardMeeting

An Internet-wide Location Service: Design, Bootstrapping, and Data Fusion

Pervasive Computing Workshop, Oct 2006, Rutgers University, NJ

GRADUATE Acoustic Localization of Mobile phones in Car for Driver Safety Applications

RESEARCH This project aims at improving the driver safety by appropriately allowing or denying

EXPERIENCE calls to the driver s mobile phone. The mobile phones equipped with microphones,

calibrates its location within the car to determine if it is held by the driver or the

passenger and accordingly enforces call policies. The technique that we propose makes

use of human in-audible acoustic signals from the car s speakers to calibrate the

location of the mobile phone.

Vehicular Speed Estimation Using Received Signal Strength from Mobile Phones

This project focuses on estimating vehicular speeds with high accuracy at the base station

using the mobile phones in vehicles without the explicit participation from the drivers. The

work is founded on the principles that RSS from Mobile phones on the GSM network are

stable over time and variable over space. We apply classic dynamic programming techniques to

estimate vehicular speeds with very high accuracy.

RIDE: Reliable Identity Spoof Detection and Elimination

Wireless Networks are vulnerable to a variety of identity spoof attacks where an attacker can

forge the MAC address of his wireless device to assume the identity of a legitimate user. In this

work, we propose mechanisms to detect MAC address spoofing using a combination of tamper

proof metrics that rely on physical layer parameters such as RSSI and MAC layer information

such as the IEEE 802.11 MAC Sequence number.

Empirical Evaluation of the Limits on Localization Using Signal Strength

Wi-Fi Localization has reached a point where the accuracy limitations have to be overcome to

realize its real potential in several of the ubiquitous computing applications. However, it is not

clear what factors innately limit the localization accuracies to greater than 1ft as reported by

several of the recent research. To understand this better, we experimentally analyze the

different limiting factors in the presence of a high density wireless AP deployment. We also

show that the experimentally achievable lower bounds are better than the Cramer Rao Lower

Bound(CRLB) invalidating the typical assumptions behind CRLB in the real experimental

environment.

DECODE: Detecting Co-Moving Wireless Devices

With the proliferation of 802.11b/g Wireless Devices, it is very common to have more than one

wireless transmitter in close proximity. DECODE detects such transmitters that move together

(Co-moving transmitters) by identifying correlations in communication signal strength due to

shadow fading. It requires no changes in or cooperation from the tracked devices other than

sporadic transmission of packets and can be detected from just a single receiver. Co-movement

information can find use in applications ranging from inventory tracking, to social network

sensing, and to optimizing mobile device localization.

Bootstrapping Location Service using Geocoded postal address

Typical Wi-Fi based Outdoor Positioning systems require a process called War-Driving to build

the database containing the locations of the wireless access points. In this work, we analyze the

feasibility of boostrapping a location service through geocoded postal addresses instead of war-

driving. Our results show similar accuracy for geocoding in comparison to typical wardriving

studies, with significantly reduced effort if postal addresses of access point positions are known.

Optimizing Broadcast Load in Mesh Networks using Dual Association

This project aimed at optimizing the broadcast traffic load in a mesh network. Traditionally,

association is based on the strongest signal strength. In this project, we examine the concept of

multi-association, where the client chooses the access point for broadcast traffic and unicast

traffic independently by exploiting multiple coverage that are typical in mesh networks. We

proposed a novel metric called normalized-cost that is advertised in the beacons from APs. We

showed that greedily associating with the AP advertising the least cost can reduce the

broadcast traffic load significantly in the network. We also evaluated the association algorithm

using real-experiments with the sensor nodes from the Kansei testbed http://ceti.cse.ohio-

state.edu/kansei/.

PROFESSIONAL Peer reviewer for Pervasive 2008, ACM Mobisys 2009, ACM HotMobile 2009, IEEE

SERVICE Transactions on Information and Systems Security, IEEE Transactions on Mobile

Computing, IEEE Communication Letters

Joint Coordinator for APOGEE-2003 (A technical festival), B.I.T.S Pilani, India

MISCELLANEOUS Country of Citizenship : INDIA

VISA Status in US : Permanent Resident

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