Rajani Muraleedharan
RAJANI MURALEEDHARAN
28 Webster Manor Drive, Apt 5, Webster NY 14580.
Phone: (315) 200-4737
Email: rmuralee@gmail.com
Website: www.cognitiveintelligence.com
SUMMARY
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Postdoctoral Research Associate at Wireless Communications and Networking Group, University of
Rochester.
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Cloud computing for mobile devices using Big Data.
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Extensive research in Routing and Security Strategies in Wireless Sensor Networks.
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Extensive research in Bio-Inspired algorithm using interdisciplinary approach on performance metrics and
multi-objective optimization problems.
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PhD in Electrical & Computer Science Engineering from Syracuse University.
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Published 2 Book Chapters, 4 Journal Articles and 26 peer reviewed articles (2 Best Paper Awards).
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Awarded 2009 Outstanding Teaching Assistant at University Level (Top 4%).
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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
University of Illinois at Urbana-Champaign
June 2009
Master of Science
Computer Engineering, Syracuse University
Title: Cognitive Routing Protocol for Sensor Based Intelligent Transportation System
May 2005
Diploma in Ecommerce
Anna University
May 2001
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
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October 2011 – Present
MOCHA (MObile Cloud-based Hybrid Architecture)
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Research mobile collaboration, dynamic task partitioning, load-balancing and parallel
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Rajani Muraleedharan
computing in cloud based “big data” applications such as face and object recognition.
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Design and implement a cloud-based architecture to support private (University of
Rochester) and public (AWS EC2) for commercial and military purpose.
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Simulate real-time interactions between mobile devices, cloudlet (UofR) and public cloud
resources (AWS EC2).
BRIDGE
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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
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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
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Wireless Smart Meter Networks
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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.
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Review current standards, identify improvement areas and support the preparation of
patent applications. Incorporate different IEEE standards such as Zigbee, Zigbee Pro, etc
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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
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July – October 2010
August 2002December 2010
Distributed Communication, Networking and Security
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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.
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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).
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Analyzed security, communication and optimization strategies for Sensor Networks using
evolutionary algorithms.
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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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Applied Wireless and Ad-hoc routing and security protocols in applications such as sensor
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Rajani Muraleedharan
network, 4G, Intelligent transportation system, Underwater acoustic sensor network, and
optical network.
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Formulated an energy aware scheme using adaptive modulation and coding schemes for
wireless sensor networks
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Biometrics Recognition
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Proposed a prototype for wireless biometric recognition and verification security system
using swarm intelligence for public and private organizations.
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Formulated performance based metrics that incorporates image recognition and sensor
resources using multi-objective optimization algorithm
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Data types include eigen face, wavelet co-efficient and raw data transmission for
centralized, hierarchical and distributed networks.
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Wind Turbine Diagnostic and Prognostic
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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.
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Developed measures to predict blade icing and failure by mining meteorologist, and system
data.
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Research in partnership with AWS Truewind, Albany NY.
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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
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August 2005 – Present
Teaching Associate, Future Professoriate Program, Syracuse University - Spring 2010
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Course: Digital Communication
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Assisted and instructed Graduate students in classroom setting.
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Conduct office hours, help sessions. Grading assignments, projects and exams
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Under the guidance of Dr. Lisa Ann Osadciw
Teaching Associate, Future Professoriate Program, Syracuse University - Spring 2009
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Course: Control Systems
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Assisted and instructed both Electrical Engineering and Bio-Engineering undergraduate
students in classroom setting.
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Conduct 2 weekly recitations. Grade quizzes, homework, Mat lab assignments and exams
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Under the guidance of Dr. Makan Fardad
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Rajani Muraleedharan
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Teaching Associate, Future Professoriate Program, Syracuse University - Fall 2008
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Course: Signals and Systems
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Assisted and instructed both Electrical and Bio-Engineering Sophomore students during
classroom sessions, and scheduled appointments.
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Conducted recitation thrice weekly for 56 students (in total). Graded quizzes, homework,
Mat lab projects and exams.
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Advised undergraduate students on time management and future coursework.
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Under the guidance of Dr. Lisa Osadciw
Teaching Associate, Future Professoriate Program, Syracuse University - Spring 2008
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Course: Control Systems
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Conducted recitation twice weekly for 46 students (in total). Instructed 3 lectures and
assigned homework. Graded quizzes, projects and exams.
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Under the guidance of Dr. Can Isik
Instructor , Future Professoriate Program, Syracuse University - Fall 2007
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Course: Communication Systems
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Designed course syllabi, quiz, homework, project and exams for seniors and first year
graduate (M.S./PhD)
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Invited guest lectures on topics like UWB, Particle Swarm Optimization and Cognitive
Radio.
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Teaching Associate, Future Professoriate Program, Syracuse University: Spring 2007
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Course: Control Systems
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Conducted recitation twice weekly for 40 - 45 students (in total). Graded quizzes, projects
and exams.
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Under the guidance of Dr. Can Isik
Teaching Assistant, Syracuse University - Fall 2006
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Course: Wireless Communications & Communication Systems
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Conducted recitation twice weekly for 25 – 40 graduate and undergraduate level students
(in total). Graded quiz, homework and exams.
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Under the guidance of Dr. Lisa Osadciw
Teaching Assistant, Syracuse University - Spring 2006
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Course: Introduction to Probability and Statistics
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Graded quiz, homework and exams for juniors from Computer Science, and Electrical
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Rajani Muraleedharan
Engineering majors
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Conducted recitation twice weekly for 40 students (in total)
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Under the guidance of Dr. Jorge Luis Romeu
Teaching Assistant, Syracuse University - Fall 2005
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Course: Communication Systems – Analog and Digital Principles
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Conducted recitation twice weekly for 25 graduate and undergraduate level students (in
total). Graded quiz, homework and exams.
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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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Rajani Muraleedharan
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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Rajani Muraleedharan
- 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, 9 th 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
Lisa Osadciw, Rajani Muraleedharan, Kalyan Veeramachaneni, Invited talk, Harris Corporation,
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Rajani Muraleedharan
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
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Stock Market Prediction Based on Multi-Agent Optimization System (Spring 2005)
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Under the guidance of Dr. Fred Schlereth
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Predict the stock market changes based on the different learning techniques such as Cascade
correlation Learning and Neural Network.
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Prediction Based Data Mining with ACO Algorithm (Spring 2004)
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Under the guidance of Dr. Amrit Goel
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Used Ant Colony Optimization (ACO) algorithm to predict optimized learning rules used for
pattern recognition in Data Mining
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Designed a CPU VHDL Design (Fall 2003)
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Under the guidance of Dr. Edward Stabler
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The arithmetic and logic unit and memory unit of CPU was designed
Vehicle Routing and Reverse Logistics Using Genetic Algorithm (Fall 2003)
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Under the guidance of Dr. C. K Mohan
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Proposed an optimal solution using Genetic algorithm to an article proposed by Jan Dethloff
increasing efficiency and logistic accuracy.
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Rajani Muraleedharan
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Energy Test Bench for Smart Cards using MATLAB (Spring 2002)
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Under the guidance of Dr. Lisa Ann Osadciw
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Proposed and Simulated Energy Benchmarks for Smart Cards prioritizing the Error
Correction and Detection codes during Packet Transmission.
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Designed Zero Forcing equalization filter for smart card a base band signal with ISI and
Gaussian noise
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Public Key Cryptography (Fall 2001)
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Under the guidance of Dr. Leonard Popyack
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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.
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Career Job Search Engine (Fall 2000)
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Under the guidance of Dr. Anbu Rathinavel
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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
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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.
PROFESSIONAL SERVICE/AFFILIATIONS
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Rajani Muraleedharan
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Program Committee
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25th Queen's Biennial Symposium on Communications (QPSC 2010), Canada.
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FTRG Intl Symposium on Advances in Cryptography, Security and Applications for Future
Computing 2010.
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Session Chair
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Review Committee
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ACM Transaction on Embedded Computing System
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IEEE Transactions on Vehicular Technology
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IEEE Transactions on Evolutionary Computation
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IEEE Wireless Communication Magazine
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International Journal of Communication Systems
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International Journal of Molecular Sciences (MDPI)
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Wiley Security and Communication Networks
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FTRG ACSA 09
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Springer Communication Journal
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Springer Security Journal
Student Organizing coordinator
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Mobiquitious, Sensor Fusion Workshop 2009 – ‘Event-based Mechanism’.
IEEE Sensor Network Workshop 2003, 2005 and 2007.
Member:
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Institute of Electrical and Electronics Engineering (IEEE),
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Association for Computing Machinery (ACM) and
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Society of Photo-Optical Instrumentation Engineering (SPIE), since 2004.
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Women in Science and Engineering (WISE), since 2006
SERVICES
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University Service
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Elected Graduate Representative for Tenure and Promotions Committee – Fall 2009 – Summer
10
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Elected Graduate Representative for Committee on Academic Affairs – Fall 2007 – Summer 09
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Treasurer – Group Of VLSI Enthusiast (GROVE), Syracuse University, Fall 2008- Summer 2009
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Assisted in organizing IEEE Upstate New York Workshop on Communications, Sensors and
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Rajani Muraleedharan
Networking, 2004, 2005 and 2007.
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Leadership Activities
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Invited Guest Speaker, ‘Technology Day for Girls’, Girl Scouts NYPENN Pathways, Syracuse, NY
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Invited Guest speaker and judge at Science, Engineering, Communication, Mathematics and
Enrichment (SECME) Competition, Middle school, Syracuse, NY. 2008 & 2009.
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Mentoring Speaker, ‘Why Graduate School?’, SUNY Morrisville State College, Morrisville, NY,
2008
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Guest Speaker, ‘Life in Graduate School & Mentoring’, SUNY OSWEGO State College, Oswego,
NY, 2008
REFERENCES
Available upon request.
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