rrlogo1.gif (7755 bytes)
              |  Home  |   Mission  |   Research  |   Projects  |   Funds  |   Facilities  |   Activities  |   Robotiger  |   Members  |   Students  |   Contact  |  

 

 

  Current and Previous Projects

 
  • Scientific Visualization

    1. M. Zhu, Q. Wu, N. S. V. Rao, S. S. Iyengar " Optimal pipeline decomposition and adaptive network mapping to support remote visualization", Journal of Computer Animation and Virtual World, (to appear), 2005.
    2. M. Zhu, Q. Wu, N. S. V. Rao, S. S. Iyengar, " On optimal mapping of visualization pipeline onto linear arrangement of network nodes ", Conference on Visualization and Data Analysis 2005 (EI10) Part of IS&T/SPIE's International Symposium on Electronic Imaging 2005, 17-18 January 2005, San Jose Marriott and San Jose Convention Center, San Jose, California,USA.
    3. M. Zhu, Q. Wu, N. S. V. Rao, S. S. Iyengar, " Adaptive Visualization Pipeline Decomposition and Mapping onto Computer Networks ", 3rd International Conference on Image and Graphics December 18-20, 2004, Hong Kong, China.


  • Three Dimensional Route Planning for Large Grids


    1. Nathan E. Brener, Hua C. Looney, S. S. Iyengar, and Narayanadas Vakamudi "Three-Dimensional Route Planner Using A* Algorithm; Application to Autonomous Underwater Vehicles ", (Submitted for Publication) 2005.
    2. N. E. . Brener, S. S. Iyengar, Hua C. Looney, N. Vakamudi, Decai Yu, Q. Huang and J. Barhen, " Three-dimensional route planning for large grids ", Journal of  Indian Insitute of Science, May–Aug. 2004, 84, 67–76.


  • Data Mining in high Dimensional Domains


    1. T.L. Bharatheesh, S.S. Iyengar, “Predictive Data Mining for Delinquency Modeling”, Proceedings of the 2004 International Conference on Embedded Systems and Applications, Las Vegas, June 21-24, 2004.


  • Advances in Sensor Fusion
    • / Target Location

    1. Mengxia Zhu, Song Ding, Richard R. Brooks, Qishi Wu, Nageswara S.V. Rao, and S. Sitharama Iyengar "Fusion of Threshold Rules for Target Detection in Sensor Networks ", ACM Transactions on Sensors Networks (Submitted for publication) , 2005.
    2. Q. Wu, S.S. Iyengar, N.S.V. Rao, J. Barhen, V. K. Vaishnavi, H. Qi, K. Chakrabarty, “On Computing the Route of a Mobile Agent for Data Fusion in a Distributed Sensor Network”, IEEE Transactions on Knowledge and Data Engineering, vol. 16, pp. 740-753, June 2004.
    3. S.S. Iyengar, S. Sastry, and N. Balakrishnan, “Foundations of Data Fusion for Automation”, IEEE Instrumentation and Measurement Magazine, December 2003, pp 35-41.
    4. K. Chakrabarty, S.S. Iyengar, H. Qi, and E.C. Cho, Grid Coverage of Surveillance and Target Location in Distributed Sensor Networks ", IEEE Transactions on Computers, Vol 51, No. 12, December 2002.
    5. S.S. Dhillon, K. Chakrabarty, and S.S. Iyengar, “Sensor Placement for Grid Coverage under Imprecise Detections”, Proceedings of the International Conference on Information Fusion (FUSION 2002), pp. 1581-1587, 2002.
    6. S.S. Iyengar and B. Jones, “Information Fusion Techniques for Pattern Analysis in Large Sensor Data Networks”, Journal of Franklin Institute, JFI 338, pp 571-582, July 2001.
    7. K. Chakrabarty, S.S.Iyengar, H. Qi and E.C.  Cho, “ Coding Theory Framework for Target Locations in Distributed Sensor Networks”, Proceedings of International Symposium on Information Technology: Coding and Computing, Las Vegas, Nevada, April 2001.
    8. S.S.Iyengar and B. Jones “Information Fusion in Manufacturing Environment”, Proceedings of International Conference on Information Technology Integration for Manufacturing, Dec.28-30, 1998, Bangalore, India.
    9. R.R. Brooks, S.S.Iyengar, and S. Rai, “Comparison of Genetic Algorithm and Simulated Annealing for Cost Minimization in a Multi-Sensor System”, Journal of Optical Eng. 37(2) February 1998.
    10. R.R. Brooks and S.S.Iyengar, “Real-Time Distributed Sensor Fusion for Time Critical Sensor Readings”, Journal of optical Engineering, 36(3) 767-779, March 1997.
    11. J. Zachary and S.S.Iyengar, “Three dimensional data fusion for biomedical surface reconstruction”, SPIE AeroSense 97 Sensor Fusion: Architecture, Algorithms, and Applications, April 1997.
    12. R.R. Brooks and S.S.Iyengar,  "Dynamic Sensor Fusion", Proceedings of the Workshop on Foundations of Information/Decision Fusion: Applications to Engineering Problems, Aug. 7-9, 1996, Washington D.C.
    13. R.R. Brooks and S.S.Iyengar, “Methods of Approximate Agreement for Multisensor Fusion”, SPIE Proceedings Signal Processing, Sensor Fusion and Target Recognition IV, Orlando, Fl., April 1995.
    14. L. Prasad, S.S.Iyengar, R. Rao and R. L. Kashyap, "Fault-tolerant Integration of Abstract Sensor Estimates using Multi-resolution Decomposition", Physical Review E, Vol.49, No.4, pp. 3452-3460, 1994.
    15. R. L. Kashyap, S.S.Iyengar, and R. N. Madan,   "A Tree Architecture for Sensor Fusion problems", Proc. of SPIE's Technical Symposium on Sensor Fusion, April 1990, Orlando, Florida.

  • Wavelet-Based Fault-Tolerant Integration and Target Recognition in Multi-dimensional Sensor Signal Processing. (past)


    1. S.S. Iyengar, E.C. Cho and V. Phoha, "Foundations of Wavelet Networks and Applications", Chapman and Hall/CRC Press, June 2002, pp. 258.
    2. R.R. Brooks, L.Greve, S.S. Iyengar, “Recognition in the Wavelet Domain: A Survey”, Journal of Electronic Imaging, No. 3, Vol. 10, pp757-784, July 2001.
    3. S. Kiran, S.S.Iyengar, R.L. Holyer, M. Lybanon, and J.M. Zachary, “Wavelet Based Feature Extraction of Oceanographic Images”, IEEE Transactions on Geo Science and Remote Sensing Vol.36, No.3, May 1998 pp767-778.

  • Content Based Image Retrieval Systems.


    1. J. Zachary and S.S. Iyengar “Information Theoretic Similarity Measures for Content Based Image Retrieval”, Journal of American Society of Information Science and Technology (JASIS), 52(10), August 2001.
    2. J. Zachary, S.S. Iyengar and Jacob Barhen, “Content Based Image Retrieval and Information Theory: A General Approach”, Journal of American Society of Information Science and Technology (JASIS), 52(10), August 2001.


  • Automatic Target Detection using Image Similarity Measures.


    1. R.R. Brooks, S.S.Iyengar, Robot Algorithm Evaluation by Simulating Sensor Faults," Signal Processing, Sensor Fusion, Target Recognition IV, eds. Kadar and Libby, SPIE, Bellingham, West Virginia, Proceedings of SPIE International Symposium on Aerospace/Defense Sensing, Dual Use Photonics, Orlando, Florida, April 1995.
    2. R.R. Brooks and S.S.Iyengar, “Methods of Approximate Agreement for Multisensor Fusion”, SPIE Proceedings Signal Processing, Sensor Fusion and Target Recognition IV, Orlando, Fl., April 1995.


  • Route Planning and Mine Avoidance for Underwater Autonomous Vehicles


    1. J. Benton, S.S.Iyengar, W. Deng, N. Brener, and V. Subramanyam, "Tactical Route Planning: New Algorithms for Decomposing the Map", Journal of Artificial Intelligence Tools and Applications, Vol. 5, Nos. 1 and 2 (1996), 199-218.


 

 

 

    		  
    About LSU | LSU A - Z | Directory | Search | Contact LSU | LSU Home  | CSC Home

    footer_ws_o1 footer_ws_02

     

    		 footer_ws_03

    Robotics Research Laboratory
    298 Coates Hall,
    Louisiana State Univeristy,
    Baton Rouge, LA 70803.
    Phone: (225) - 578 - 1252
    Fax     : (225) - 578 - 1465                                                                                                                                                                                                                                    
    E-mail: rrl@bit.csc.lsu.edu                                                                                                                                                                                                                      


    The Robotics Research Lab is a part of Department of Computer Science, LSU.
    Copyright 2001. All Rights Reserved.