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RAJANI MURALEEDHARAN 28 Webster Manor Drive, Apt 5, Webster NY

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RAJANI MURALEEDHARAN

28 Webster Manor Drive, Apt 5, Webster NY 14580. Email: rmuralee@gmail.com

Phone: (315) 200-4737 Website: www.cognitiveintelligence.com

SUMMARY

o Postdoctoral Research Associate at Wireless Communications and Networking Group, University of Rochester.

o Cloud computing for mobile devices using Big Data.

o Extensive research in Routing and Security Strategies in Wireless Sensor Networks.

o Extensive research in Bio-Inspired algorithm using interdisciplinary approach on performance metrics and multi-objective optimization problems.

o PhD in Electrical & Computer Science Engineering from Syracuse University.

o Published 2 Book Chapters, 4 Journal Articles and 26 peer reviewed articles (2 Best Paper Awards). o Awarded 2009 Outstanding Teaching Assistant at University Level (Top 4%).

o Awarded 2009 Certificate in University Teaching (CUT) by Future Professoriate Program.

RESEARCH INTEREST

Sensor Network Security, Cross-Layer Optimization Techniques, Cognitive and Distributed System, Swarm Intelligence, Heterogeneous Communication Networks, Data Mining and Digital Signal Processing.

EDUCATION

Doctorate of Philosophy

Electrical Engineering, Syracuse University

Dissertation topic: Cognitive Security Framework for Heterogeneous Sensor Network Using Swarm Intelligence

May 2011

Illinois Wireless Summer School June 2009 University of Illinois at Urbana-Champaign

Master of Science

Computer Engineering, Syracuse University

Title: Cognitive Routing Protocol for Sensor Based Intelligent Transportation System

May 2005

Diploma in Ecommerce May 2001 Anna University

Bachelor of Engineering

Computer Science & Engineering, University Of Madras Title: Airline Landing Charges

May 2000

RESEARCH EXPERIENCE

Postdoctoral Research Associate

Wireless Communications and Networking Group (WCNG) Lab, University of Rochester, Rochester NY

October 2011 – Present

MOCHA (MObile Cloud-based Hybrid Architecture)

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computing in cloud based “big data” applications such as face and object recognition.

o Design and implement a cloud-based architecture to support private (University of Rochester) and public (AWS EC2) for commercial and military purpose.

o Simulate real-time interactions between mobile devices, cloudlet (UofR) and public cloud resources (AWS EC2).

BRIDGE

o Research on non-contact, sensing systems for validly capturing autonomic nervous system (ANS) activity underlying emotional reactivity during family interaction tasks at a

physiological level of analysis

o Design a prototype for emotion detection in real and synthesized speech using feature extraction techniques and machine learning methods.

Research Internship

Mitsubishi Electric Research Laboratories, Cambridge MA

July – October 2010  Wireless Smart Meter Networks

o Research and develop a suitable routing algorithm for wireless smart meter networks. Analyze and identify potential issues in Network and MAC layers in smart grid.

o Review current standards, identify improvement areas and support the preparation of patent applications. Incorporate different IEEE standards such as Zigbee, Zigbee Pro, etc

o Participate in R&D planning, contribute and provide technical talks to mentor, colleagues and corporate headquarters.

Research Assistant/Associate

Dreamsnet Research Lab, Syracuse University, Syracuse NY

August 2002- December 2010  Distributed Communication, Networking and Security

o Implemented an adaptive system and bio-inspired data mules for message transmission, computation, diagnostic and prognostic in health care, Blue highway (Welch Allyn), Syracuse, NY.

o Designed and Simulated cross-layer communication by reducing power consumption, improving quality-of-service and security based on sensor’s mission using physical, MAC and Network layer performance metrics, nature inspired Ant Colony optimization algorithm and Partially Ordered Sets (POSets).

o Analyzed security, communication and optimization strategies for Sensor Networks using evolutionary algorithms.

o Analyzed denial-of-service attacks and other anomalies in Wireless Sensor Networks, and designed solutions using Bayesian Network and Swarm based fusion.

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network, 4G, Intelligent transportation system, Underwater acoustic sensor network, and optical network.

o Formulated an energy aware scheme using adaptive modulation and coding schemes for wireless sensor networks

Biometrics Recognition

o Proposed a prototype for wireless biometric recognition and verification security system using swarm intelligence for public and private organizations.

o Formulated performance based metrics that incorporates image recognition and sensor resources using multi-objective optimization algorithm

o Data types include eigen face, wavelet co-efficient and raw data transmission for centralized, hierarchical and distributed networks.

Wind Turbine Diagnostic and Prognostic

o Implemented data mining techniques using swarm optimization to identify and predict abnormal patterns in wind turbine data, to improve efficiency and maintenance cost for wind farm.

o Developed measures to predict blade icing and failure by mining meteorologist, and system data.

o Research in partnership with AWS Truewind, Albany NY.

o Manage and publish projects for several governments sponsored and industry funded research programs.

TEACHING EXPERIENCE

Teaching Associate

L.C. Smith College of Engineering & Computer Science, Syracuse University

August 2005 – Present

Teaching Associate, Future Professoriate Program, Syracuse University - Spring 2010

o Course: Digital Communication

o Assisted and instructed Graduate students in classroom setting.

o Conduct office hours, help sessions. Grading assignments, projects and exams o Under the guidance of Dr. Lisa Ann Osadciw

Teaching Associate, Future Professoriate Program, Syracuse University - Spring 2009 o Course: Control Systems

o Assisted and instructed both Electrical Engineering and Bio-Engineering undergraduate students in classroom setting.

o Conduct 2 weekly recitations. Grade quizzes, homework, Mat lab assignments and exams o Under the guidance of Dr. Makan Fardad

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Teaching Associate, Future Professoriate Program, Syracuse University - Fall 2008

o Course: Signals and Systems

o Assisted and instructed both Electrical and Bio-Engineering Sophomore students during classroom sessions, and scheduled appointments.

o Conducted recitation thrice weekly for 56 students (in total). Graded quizzes, homework, Mat lab projects and exams.

o Advised undergraduate students on time management and future coursework. o Under the guidance of Dr. Lisa Osadciw

Teaching Associate, Future Professoriate Program, Syracuse University - Spring 2008 o Course: Control Systems

o Conducted recitation twice weekly for 46 students (in total). Instructed 3 lectures and assigned homework. Graded quizzes, projects and exams.

o Under the guidance of Dr. Can Isik

Instructor , Future Professoriate Program, Syracuse University - Fall 2007 o Course: Communication Systems

o Designed course syllabi, quiz, homework, project and exams for seniors and first year graduate (M.S./PhD)

o Invited guest lectures on topics like UWB, Particle Swarm Optimization and Cognitive Radio.

Teaching Associate, Future Professoriate Program, Syracuse University: Spring 2007 o Course: Control Systems

o Conducted recitation twice weekly for 40 - 45 students (in total). Graded quizzes, projects and exams.

o Under the guidance of Dr. Can Isik

Teaching Assistant, Syracuse University - Fall 2006

o Course: Wireless Communications & Communication Systems

o Conducted recitation twice weekly for 25 – 40 graduate and undergraduate level students (in total). Graded quiz, homework and exams.

o Under the guidance of Dr. Lisa Osadciw

Teaching Assistant, Syracuse University - Spring 2006

o Course: Introduction to Probability and Statistics

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Engineering majors

o Conducted recitation twice weekly for 40 students (in total) o Under the guidance of Dr. Jorge Luis Romeu

Teaching Assistant, Syracuse University - Fall 2005

o Course: Communication Systems – Analog and Digital Principles

o Conducted recitation twice weekly for 25 graduate and undergraduate level students (in total). Graded quiz, homework and exams.

o Under the guidance of Dr. Lisa Osadciw

PUBLICATIONS Book Chapters:

1. Sleeping Techniques for Reducing Energy Dissipation

Rajani Muraleedharan, Ilker Demirkol, Ou Yang, He Ba, Surjya Ray, and Wendi Heinzelman, book titled, “The Art of Wireless Sensor Network ”, 1st ed., Habib M. Ammari (Editor), Springer -To be published in 2012

2. Cognitive Routing Protocol for Sensor Based Intelligent Transportation System

Rajani Muraleedharan and Lisa Ann Osadciw, book titled, “Wireless Technologies for Intelligent Transportation Systems”, Ming-Tuo Zhou, Y. Zhang and Laurence T. Yang (Editor), Nova Science Publishers, USA, 2008

Journal Articles:

1. ReCAPP: Real-time Cloud/grid based Application Platform using synergistic mobile/cloudlet coupling

Tolga Soyata, Rajani Muraleedharan, Scott Ames, Colin Funai, Zou Chao, Minseok Kwon and Wendi Heinzelman, Special Issue on Cloud-Based Mobile Media, IEEE Transactions on Multimedia, publication date: 2013

2. Resource Optimization in Distributed Biometric Recognition Using Wireless Sensor Network

Rajani Muraleedharan, Lisa Ann Osadciw and Yanjun Yan, Multidimensional Systems and Signal Processing Journal, 2009.

3. SmartCare: Health Monitoring Using Wireless Sensor Networks

Rajani Muraleedharan and Lisa Ann Osadciw, Special Issue: Pervasive Health Care Services and Technologies, International Journal of Telemedicine and Applications, 2008.

4. Constructing on Efficient Wireless Face Recognition System by Swarm Intelligence

Rajani Muraleedharan, Yanjun Yan and Lisa Ann Osadciw, SCI journal, 2007.

Peer Reviewed Conference Papers:

1. Cloud-Vision: Real-time Face Recognition Using a Mobile-Cloudlet-Cloud Acceleration Architecture

Tolga Soyata, Rajani Muraleedharan, Colin Funai, Minseok Kwon and Wendi Heinzelman, Seventeenth IEEE Symposium on Computers and Communication (ISCC), Turkey, July 2012.

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2. COMBAT: mobile-Cloud-based cOmpute/communication infrastructure for BATtlefield

applications

Tolga Soyata, Rajani Muraleedharan, Jonathan Langdon, Colin Funai, Minseok Kwon and Wendi Heinzelman,, SPIE Defense and Security, Baltimore, Maryland, Apr 2010.

3. Bio-Inspired Secure Data Mules for Medical Sensor Network

Rajani Muraleedharan, and Lisa Ann Osadciw, SPIE Defense and Security, Orlando, FL, Mar 2010. 4. An Intrusion Detection Framework for Sensor Networks Using Ant Colony

Rajani Muraleedharan, and Lisa Ann Osadciw, ASILOMAR, Pacific Grove, CA, Nov 2009. 5. Secure Self-Adaptive Framework for Distributed Smart Home Sensor Network

Rajani Muraleedharan, and Lisa Ann Osadciw, ASILOMAR, Pacific Grove, CA, Nov 2009. 6. Cognitive Security Protocol for Sensor Based VANET Using Swarm Intelligence

Rajani Muraleedharan, and Lisa Ann Osadciw, ASILOMAR, Pacific Grove, CA, Nov 2009.

7. Secure Self-Adaptive Mission Critical Framework for Distributed Smart Home Sensor Network

Rajani Muraleedharan, and Lisa Ann Osadciw, MobiQuitious, Toronto, Canada, July 2009. 8. Secure Communication in Heterogeneous Sensor Networks

Rajani Muraleedharan, and Lisa Ann Osadciw, MobiQuitious, Work-in-Progress, Toronto, Canada, July 2009.

9. Swarm Optimized UWB-PPM and Protocol design for sensor network

Rajani Muraleedharan, Weihua Gao and Lisa Ann Osadciw, SPIE Defense and Security Symposium, Orlando, FL, April 2009.

10. Swarm Intelligence Managed UWB Waveform and Cognitive Sensor Network Protocol

Rajani Muraleedharan, Weihua Gao and Lisa Ann Osadciw, IEEE Swarm Intelligence Symposium, St. Louis, Missouri, March 2009

11. Meta-heuristic Cross-Layer Protocol for UWB Emergency Responder Sensor Network

Rajani Muraleedharan, Weihua Gao and Lisa Ann Osadciw, IEEE Swarm Intelligence Symposium, St. Louis, Missouri, September 2008

Secure Health Monitoring Network Against Denial-Of-Service Attacks Using Cognitive Intelligence

- BEST PAPER AWARD

Rajani Muraleedharan and Lisa Ann Osadciw, Communication Networks and Service Research Conference, CNSR, Halifax, Canada, 2008

12. Predicting Sybil Attack in Wireless Sensor Network using Swarm-Based Reasoning Algorithm

Rajani Muraleedharan, Xiang Ye and Lisa Ann Osadciw, SPIE Defense and Security Symposium, Orlando, FL, March 2008

13. Ant System Based Flexible and Cost Effective Routing for Wireless Face Recognition

Rajani Muraleedharan, Yanjun Yan and Lisa Ann Osadciw, CCNC, Las Vegas, NV, 2008

14. Contourlet Based Image Compression for Wireless Communication in Face Recognition System

Yanjun Yan,Rajani Muraleedharan and Lisa Ann Osadciw, ICC, Beijing, China, May 2008

15. Detecting and Countermeasures Against Denial Of Service Attack in WSN Using Cross Layer Cognitive Protocol

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- INVITED

Rajani Muraleedharan and Lisa Ann Osadciw, Doctoral Symposium, ACM Compute 2008, Bangalore, India. January 2008.

16. Increasing QoS and Security in 4G Network using Cognitive Protocol

Rajani Muraleedharan and Lisa Ann Osadciw, IEEE GLOBECOM, Washington D.C., November 2007. 17. Cross Layer Protocols in Wireless Sensor Networks (Poster)

Rajani Muraleedharan, Yanjun Yan and Lisa Ann Osadciw, SANET First ACM Workshop, Montreal, Canada, September 2007.

18. Cross Layer Protocols in Wireless Sensor Networks

Rajani Muraleedharan and Lisa Ann Osadciw, IEEE Infocomm Student Workshop, Barcelona, Spain, April 2006.

19. Jamming Attack Detection and Countermeasures In WSN using Swarm Intelligence

Rajani Muraleedharan and Lisa Ann Osadciw, SPIE Defense and Security Symposium, Orlando, FL, April 2006.

20. Cross Layer Denial of Service Attacks in Wireless Sensor Network Using Swarm Intelligence

Rajani Muraleedharan and Lisa Ann Osadciw, 40th Annual Conference on Information Sciences and Systems, Princeton, NJ, March 2006.

21. Robust Face Recognition System Constructed by Wireless Sensor Networks

- BEST PAPER AWARD

Rajani Muraleedharan, Yanjun Yan and Lisa Ann Osadciw, 9th World Multiconference on Systemics, Cybernetics and Informatics, ‘Best Paper Award’ for applications in electrical engineering, Orlando, FL , July 2005.

22. Robustness of Predictive Sensor Network Routing in Fading Channels

Rajani Muraleedharan and Lisa Ann Osadciw, SPIE Defense and Security Symposium, Orlando, FL, March 2005.

23. A Predictive Sensor Network Using Ant System

Rajani Muraleedharan and Lisa Ann Osadciw, SPIE Defense and Security Symposium, Orlando, FL, April 2004.

24. Decision Making In a Building Access System Using Swarm Intelligence & POSets

Rajani Muraleedharan and Lisa Ann Osadciw, 38th CISS conference, Princeton, NJ, March 2004

25.

Balancing the Performance of a Sensor Network Using an Ant System

Rajani Muraleedharan and Lisa Ann Osadciw, 37th Annual Conference on Information Sciences and Systems (CISS) conference, Baltimore, Maryland, March 2003.

PRESENTATION & INVITED TALKS

1. RF Interference in Wireless Network

Lisa Osadciw, Rajani Muraleedharan, Invited talk, United Technologies Research Center (UTRC), Invited Talk, E. Hartford, CT, August 2009.

2. Secure Communication for Wireless Sensor Networks

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Rochester NY, March 2009.

3. Wireless Sensor Networks: Do Ants Help?

Lisa Osadciw, Rajani Muraleedharan, Frontiers of Science, Syracuse University, Syracuse, NY, Nov 2007.

4. Wireless Networks: Do Ants Really Help Those Networks?

Lisa Osadciw, Rajani Muraleedharan, Kalyan Veeramachaneni, Visiting Lecture, Rochester Institute of Technology, Rochester NY, January 2008

5. Cross Layer Security Protocol Using Swarm Intelligence in WSN

- INVITED STUDENT PRESENTATION

Rajani Muraleedharan and Lisa Ann Osadciw, LISAT, Farmingdale, New York, May 2007

6. Constructing on Efficient Wireless Face Recognition System by Swarm Intelligence

Rajani Muraleedharan, Yanjun Yan and Lisa Ann Osadciw, AGEP, Syracuse University, June 2007.

7. Adaptive Security Framework for Ad-Hoc Mobile Wireless Network (Poster)

Rajani Muraleedharan and Lisa Ann Osadciw, Nunan Poster, Syracuse, April 2007.

8. Sensor Communication Network Using Swarm Intelligence

Rajani Muraleedharan and Lisa Ann Osadciw, 2nd IEEE Upstate New York Workshop, Oct 2003.

ACADEMIC PROJECTS

Stock Market Prediction Based on Multi-Agent Optimization System(Spring 2005)

o Under the guidance of Dr. Fred Schlereth

o Predict the stock market changes based on the different learning techniques such as Cascade correlation Learning and Neural Network.

Prediction Based Data Mining with ACO Algorithm (Spring 2004)

o Under the guidance of Dr. Amrit Goel

o Used Ant Colony Optimization (ACO) algorithm to predict optimized learning rules used for pattern recognition in Data Mining

Designed a CPU VHDL Design(Fall 2003)

o Under the guidance of Dr. Edward Stabler

o The arithmetic and logic unit and memory unit of CPU was designed

Vehicle Routing and Reverse Logistics Using Genetic Algorithm (Fall 2003)

o Under the guidance of Dr. C. K Mohan

o Proposed an optimal solution using Genetic algorithm to an article proposed by Jan Dethloff increasing efficiency and logistic accuracy.

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Energy Test Bench for Smart Cards using MATLAB (Spring 2002)

o Under the guidance of Dr. Lisa Ann Osadciw

o Proposed and Simulated Energy Benchmarks for Smart Cards prioritizing the Error Correction and Detection codes during Packet Transmission.

o Designed Zero Forcing equalization filter for smart card a base band signal with ISI and Gaussian noise

Public Key Cryptography (Fall 2001)

o Under the guidance of Dr. Leonard Popyack

o A survey on the advantages and disadvantages of PKI in Adhoc networks. Highlighted the security breach and the inability of these techniques to other networks.

Career Job Search Engine (Fall 2000)

o Under the guidance of Dr. Anbu Rathinavel

o A Search Engine was developed for the Career Counseling Center of Anna University for Student job Search purposes. Contains Upload, Search, and apply through web facilities.

AWARDS/HONORS

Best Paper Award – Research work in Wireless Sensor Network Security – 2005 & 2008

Awarded Women In Science & Engineering (WISE) fellow for excellence in engineering in 2008 & 2009.

NSF Travel fund, Illinois Summer School, UIUC, Summer 09.

Travel Grant Recipient, IEEE Swarm Intelligence Symposium 2008

Outstanding Teaching Associate Award (OTA), Syracuse University, L.C. Smith College of Engineering, University-Wide recognition, 2009.

Certificate in University Teaching, Teaching Associate, Future Professoriate Program, (3 of 45 EECS teaching Assistants) 2009

Graduate Research Associate – Fall 09, Fall 02-May 05.

Graduate Teaching Assistant – Spring 2006

Chosen by Who’s who in Marquis.

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Program Committee

o 25th Queen's Biennial Symposium on Communications (QPSC 2010), Canada.

o FTRG Intl Symposium on Advances in Cryptography, Security and Applications for Future Computing 2010.

Session Chair

o Mobiquitious, Sensor Fusion Workshop 2009 – ‘Event-based Mechanism’.

Review Committee

o ACM Transaction on Embedded Computing System o IEEE Transactions on Vehicular Technology

o IEEE Transactions on Evolutionary Computation o IEEE Wireless Communication Magazine o International Journal of Communication Systems o International Journal of Molecular Sciences (MDPI) o Wiley Security and Communication Networks o FTRG ACSA 09

o Springer Communication Journal o Springer Security Journal

Student Organizing coordinator

o IEEE Sensor Network Workshop 2003, 2005 and 2007.

Member:

o Institute of Electrical and Electronics Engineering (IEEE), o Association for Computing Machinery (ACM) and

o Society of Photo-Optical Instrumentation Engineering (SPIE), since 2004.

o

Women in Science and Engineering (WISE), since 2006

SERVICES

University Service

o Elected Graduate Representative for Tenure and Promotions Committee – Fall 2009 – Summer 10

o Elected Graduate Representative for Committee on Academic Affairs – Fall 2007 – Summer 09 o Treasurer – Group Of VLSI Enthusiast (GROVE), Syracuse University, Fall 2008- Summer 2009 o Assisted in organizing IEEE Upstate New York Workshop on Communications, Sensors and

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Networking, 2004, 2005 and 2007.

Leadership Activities

o Invited Guest Speaker, ‘Technology Day for Girls’, Girl Scouts NYPENN Pathways, Syracuse, NY o Invited Guest speaker and judge at Science, Engineering, Communication, Mathematics and

Enrichment (SECME) Competition, Middle school, Syracuse, NY. 2008 & 2009.

o Mentoring Speaker, ‘Why Graduate School?’, SUNY Morrisville State College, Morrisville, NY, 2008

o Guest Speaker, ‘Life in Graduate School & Mentoring’, SUNY OSWEGO State College, Oswego, NY, 2008

REFERENCES

References

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