PUBLICATIONS: BOOKS AND VIDEOTAPES

10.  Vemuri, V. (ed.),  Enhancing Computer Security with Smart Technology, CRC Press, 2005.

 

9.   Vemuri, V. English-Telugu and Telugu-English Dictionary, Asian Educational Services, New Delhi, India, and Eco Foundation, 2002.

      An on-line version of the English-Telugu part is available at http://www.sahiti.org/dict/index.jsp

 

8.   Vemuri, V. and Vemuri, S., (Eds.), Biocomplexity, Sustainable Development and Information Technology, Eco Foundation, 2000.

 

7.   Jain, Laxmi and Vemuri, V., (Eds.), Industrial Applications of Neural Networks: CRC Press, 1999.

 

6.   Vemuri, V. and R. Rogers, (Eds.), Artificial Neural Networks: Forecasting time series, CS Press of IEEE, 1993.

 

5.   Vemuri, V., Advances  in Artificial Neural Networks: Concepts , Applications and  Implementation  Considerations,  Lecture on Videotape,  Published by Computer Society Press of IEEE, 1992.

 

4.   Vemuri, V. (Ed.), Tutorial on Artificial Neural Networks: Concepts  and Control Applications, IEEE Computer Society Tutorial Series.  Computer Society Press of IEEE, 1992.

 

3.   Vemuri, V. (Ed.), Artificial Neural Networks:  Theoretical Concepts.  IEEE Computer Society Technology Series, 1988.

 

2.   Vemuri, V. and W. J. Karplus.  Digital Computer Treatment of Partial Differential Equations.  Prentice-Hall, 1982.

 

1.   Vemuri, V.  Modeling of Complex Systems:  An Introduction.  Academic Press, 1978.

 

PUBLICATIONS: BOOK CHAPTERS

15. Labib, K. and Vemuri, V., “Data Application of Exploratory Multivariate Analysis for Network Security," in (Ed. V. Vemuri), Enhancing Computer Security with Smart Technology, CRC Press, 2005. pdf

                 

14. Liao, Y. and V. Vemuri, “Machine Learning In Intrusion Detection," in (In (Ed. V. Vemuri), Enhancing Computer Security with Smart Technology, CRC Press, 2005 pdf

 

13. Vemuri, V. “Relevance of Machine Learning," in (Ed. V. Vemuri), Enhancing Computer Security with Smart Technology, CRC Press, 2005 pdf

 

12. Vemuri, V. “Cyber Security and Cyber Trust," in (Ed. V. Vemuri), Enhancing Computer Security with Smart Technology, CRC Press, 2005 pdf

 

11. Vemuri, V. and N. Tang,  “Solving Inverse Problems via Machine Learning and Knowledge Discovery," in (Eds. Takumi Ichimura and Katsumi Yoshida.), Knowledge-Based Intelligent Systems for Healthcare, CRC Press, 2004. pdf.

 

10. V. Vemuri, “Inverse Problems," in (Eds. and G. A. Bekey and B. Y. Kogan), Modeling and Simulation: Theory and Practice, A Memorial Volume for prof. Walter J. Karplus, pages 89-101, Kluwer Academic Publishers, Boston,  2002. pdf.

 

9. Jain, L. C. and V. Vemuri, “An Introduction to Intelligent Systems," Ed. (L. C. Jain and R. K. Jain), Hybrid Intelligent Engineering Systems, Chapter 1, World Scientific Publishing Co, Singapore. 1997.

 

8. Padgett, M. and V. Vemuri, "Applications of Evolutionary Systems in Industrail Electronics,"  Ed. (J. D. Irvin), CRC Handbook on Industrial Electronics,  Chapter 101, CRC Press, 1997.

 

7. Cooper, M. G., and V. Vemuri, "Genetic Algorithms," CRC Handbook on Industrial Electronics, Ed. (J. D. Irvin), Chapter 99, CRC Press, 1997.

 

6. Vemuri, V. and W. Cedeño, Multi-Niche Crowding for Multimodal Search, Book Chapter, Practical Handbook of Genetic Algorithms: New Frontiers, Vol. 2 Ed. Lance Chambers, CRC Press, 1995

 

5. Vemuri, V. Use of Artificial Neural Networks in Control Applications, in Advances in Computers,  pp 203-250, Academic Press (Ed.  M. Yovits) Vol. 36, 1993.

 

4. Vemuri, V.  Biharmonic Equations-Solution Methods.  IN Encyclopedia of Computer Science and Technology  3:274-298, 1976.

 

3. Vemuri, V.  Hybrid Computation in Hydrosystems.  IN Advances in Hydroscience, Vol. 9, Van Te Chow (editor), Academic Press, NY, 1973.

 

2. Vemuri, V.  Analog and Hybrid Computation, Chapter 9, 285-311.  IN Computer Science,  Cardenas, Marin and Presser (editors), John Wiley, 1970.

 

1. Karplus, W. J. and V. Vemuri.  Numerical Solution of Partial Differential Equations, Chapter 2, p. 163-202.  IN Digital  Computers User's  Handbook, Klerer and Korn (editors), McGraw-Hill.

 

PUBLICATIONS: REVIEWED PAPERS

 

113. T. Stibor  and V. Rao Vemuri, "Experimental Results On Compression Quality of aiNet," FOCI:The First IEEE Symposium on Foundations of Computational Intelligence (FOCI'07), 1-5 April 2007, Honolulu, Hawaii, USA

 

112. Liao, Yihua, V. Rao Vemuri, and  Alejandro Pasos," Adaptive Anomaly Detection with Evolving Connectionist Systems, Journal of Network and Computer Applications, Special Issue on 'Information and Network Security: A Computational Intelligence Approach,”  Volume 30, Issue 1, Pages 60-80, January 2007

 

111.  Fan Zhao, V. Rao Vemuri, S. Felix Wu, Fei Xue, S. J. Ben Yoo, Interactive Informatics on Internet Infrastructure, ICNP ‘07, 10th IFIP/IEEE International Symposium on Integrated Network Management, Munich, Germany, May 2007 pdf.

 

110. N. Tang and V. Rao Vemuri, "A Web-knowledge-based Clustering Model for Gene Expression Data Analysis.” To appear in the 2006 Atlantic Web Intelligence Conference (AWIC06). 2006. PDF

 

109. Khaled Labib, V. Rao Vemuri, "A Hardware-Based Clustering Approach for Anomaly Detection," International Journal of Network Security (Submitted Aug 2005) pdf

 

108. Khaled Labib, V. Rao Vemuri, "An Application of Principal Component Analysis to the Detection and Visualization of Computer Network Attacks", Annals of Telecommunications, France. Nov/Dec 2005 Issue. pdf

 

107. N. Tang and V. Rao Vemuri, "An Artificial Immune System Approach to Document Clustering," In Proceedings of 20th ACM Symposium on Applied Computing (SAC2005), Evolutionary Computing and Optimization (EC) Track. Pages 918 - 922. 2005 pdf

 

106. Tang, Na and V. Rao Vemuri, “User-Interest-Based Document Filtering via Semi-supervised Clustering,” Lecture Notes in Computer Science, Springer-Verlag, Foundations of Intelligent Systems: 15th International Symposium, ISMIS 2005, Saratoga Springs, NY, USA, May 25-28, 2005. ISBN: 3-540-25878-7 pdf

 

105. Khaled Labib, V. Rao Vemuri, "Anomaly Detection Using S Language Framework: Clustering and Visualization of Intrusive Attacks on Computer Systems". Fourth Conference on Security and Network Architectures, SAR'05, Batz sur Mer, France, June 2005  pdf

 

104. Khaled Labib and V. Rao Vemuri, "Detecting and Visualizing Denial of Service And Network Probe Attacks Using Principal Component Analysis," SAR'04 the 3rd Conference on Security and Network Architectures, La Londe, Cote d'Azur (France), June 21-25, 2004 pdf.

 

103. Tang, Na and V. Rao Vemuri, "Web-based Knowledge Acquisition to Impute Missing Values for Classification," IEEE/WIC/ACM International Joint Conference on Web Intelligence, Sep. 20-24, 2004, Beijing, China, pdf.

 

102. Rawat, Sanjay, Arun K. Pujari, V. P. Gulati, V. Rao Vemuri, "Intrusion Detection using Text Processing Techniques with a Binary-Weighted Cosine Metric,"  Journal of Information Assurance and Security, To appear 2005. pdf.

 

101. Liao, Yihua and V. Rao Vemuri and Alejandro Pasos, "A General Framework for  Adaptive Anomaly Detection with Evolving Connectionist Systems", SIAM International Conference on Data Mining, Lake Buena Vista, FL, April 22-24, 2004. pdf

 

100. Wenjie Hu, Yihua Liao, and V. Rao Vemuri, Robust Anamoly Detection using Support Vector Machines, IEEE Trans. on Pattern Analysis and Machine Intelligence, Submitted. pdf

 

99. Wenjie Hu, Yihua Liao, and V. Rao Vemuri, Robust Support Vector Machines for Anamoly Detection in Computer Security, International Conference on Machine Learning, Los Angeles, CA, July 2003. pdf

 

98. Jian Wang, Rao Vemuri, and Biswanath Mukherjee, Towards an IP-centric Optimization: On the Topology Design of WDM-mesh Networks, Journal of Lightwave Technology, submitted. pdf

 

97. Khaled Labib and V. Rao Vemuri, “NSOM: A Real-time Network-Based Intrusion Detection System Using Self-Organizing Maps," Networks and Security, Submitted, 2002. pdf

 

96. Yihua Liao and V. Rao Vemuri, “Using Text Categorization Techniques for Intrusion Detection, Usenix: Security 2002,  San Francisco, Aug.  2002. pdf [news coverage]

 

95. Yihua Liao and V. Rao Vemuri, “Use of K-nearest Neighbor Classifier for Intrusion Detection,, Networks and Security,  Vol. 21, no. 5, pp 438-448, 2002. pdf

 

94. Dao, Vu and V. Rao Vemuri, “Computer Network Intrusion Detection: A Comparison of Neural Networks Methods, Differential Equations and Dynamical Systems (Special Issue on Neural Networks), Published, 2002. pdf

 

93. T.R. Hvidsten, A.Kryshtafovych, A. Zemla, R. Vemuri, J. Komorowski, and K. Fidelis, "Applying rule based classifiers to protein fold recognition," Pacific Symposium on Biocomputing, Hawaii, 2001

 

92. Jian Wang, Wonhong Cho, V. Rao Vemuri, and Biswanath Mukherjee, Improved Approaches for Cost-Effective Traffic Grooming in WDM Ring Networks: ILP Formulations, Single-Hop and Multihop Connections, Journal of Lightwave Technology, Vol. 19, No. 11, pp 1645-1653, November 2001. pdf

 

91. S. Saha and Rao Vemuri, "Use of adaptive integer-to-integer wavelet transforms in lossless image coding," in Proc. IEEE International Symposium on Circuits and Systems (ISCAS 2001), May 2001, Sydney, Australia, vol. 2, pp. 393-396.

 

90. S. Saha and Rao Vemuri, “On Lossy Image Compression Using Adaptive Wavelet Filters,” Proc. European Signal Processing Conference (EUSIPCO 2000), Sep. 2000, Tampere, Finland, vol. IV, pp. 1925-1928.

 

89. S. Saha and Rao Vemuri, “Multimedia image coding using adaptive integer-to-integer wavelet transforms,” Proc. IEEE International Conference on Multimedia and Expo (ICME 2000), July 2000, NewYork, vol. 1, pp. 99-102.

 

88. V. Vemuri,and Joseph Miranda, “Software Agents in Computer Games”, Game-ON 2000, London, November 11-12 , 2000. pdf

 

87. V. Vemuri, “Agent Assist for Computer Games”, International ICSC Conference on Intelligent Systems and Applications, University of Wollongong, Australia, Dec. 11-15, 2000. pdf

 

86. Dao, Vu and V. Vemuri, “Profiling Users in the UNIX OS Environment, International ICSC Conference on Intelligent Systems and Applications, University of Wollongong, Australia, Dec. 11-15, 2000. pdf

 

85. S. Saha and V Rao Vemuri, "An Analysis on the Effect of Image Activity on Lossy Coding Performance,"  Proc. IEEE International Symposium on Circuits and Systems (ISCAS 2000), May 2000, Geneva, Switzerland, vol. 3, pp. 295-298.

 

84. S. Saha and Rao Vemuri, "Analysis-based Adaptive Wavelet Filter Selection in Lossy Image Coding Schemes," Proc. IEEE International Symposium on Circuits and Systems (ISCAS 2000), May 2000, Geneva, Switzerland, vol. 3, pp. 29-32.

 

83. Saha, S. and V. Vemuri, “Analysis of the Effect of Image Activity on Lossy Coding Performance, IEEE Signal Processing Letters, Vol. 7, no. 5, pp 104-107, May 2000.

82. S. Saha and Rao Vemuri, "Effect of Image Activity on Lossy and Lossless Coding Performance," Proc. IEEE Data Compression Conference (DCC 2000), Mar. 2000, SnowBird, Utah.

 

 81. S. Saha and Rao Vemuri, "How do Image Statistics Impact Lossy Coding Performance?," Proc. International Conference on Information Technology: Coding and Computing (ITCC), Mar. 2000, Las Vegas, pp. 42-47.

 

80. Saha, S. and V. Vemuri,  "Image Categorization and Coding using Neural Nets and adaptive Wavelet Filters,” Invited paper, IEEE ICIT-2000, pp 438-443, Goa, India, January 19-22, 2000

 

79. Vemuri, V, “IT: The Shape of Things to Come, The Hindu: Monday Mart, (A Flagship newspaper of India),  20 March 20, 2000.

 

78. Wang, Jian, W. Cho, V. Vemuri, and B. Mukherjee, “Improved Approaches to cost-effective Traffic Grooming in WDM Ring Networks: Non-uniform Traffic and Bidirectional Ring”, OFC, 2000 pdf.

 

77. Barash, D.,A. Orel, and, V. Vemuri,  "Micro genetic algorithm in finding optimal frequencies for stabilizing atoms by high-intensity laser fields,” Journal of Evolutionary Computation, 2000.

 

76. Komashko, A., Laney, D. Prasad, M. and V. Vemuri, Solution of the Linear Diffusion Equation on a Non-uniform Grid in Three Dimensions, Differential Equations and Dynamical Systems, 2000.

 

75. Saha, S. and V. Vemuri, “The need for adaptive wavelet filters in image coding and analysis,” International Symposium on Circuits and Systems,’99, San Jose, CA, Dec. 7-10, 1999.

 

74. S. Saha and Rao Vemuri, "Adaptive Wavelet Filters in Image Coders - How Important are They?," iProc. IEEE IECON '99, Nov. 1999, San Jose, California, vol. 2, pp. 559-564.

 

73. Saha, S. and V. Vemuri, “Adaptive image compression”, ACM Multimedia Conference, Orlando, FL, Oct 30 - Nov 4, 1999

 

72. S. Saha and Rao Vemuri, "The Need for Adaptive Wavelet Filters in Image Coding - An Analysis," in Proc. 2nd International Conference on Information, Communications & Signal Processing (ICICS), Dec. '99, Singapore.

 

71. Cedeño, W. and Vemuri, V.  Analysis of Speciation and Niching in Multi-Niche Crowding Genetic Algorithms, Theoretical Computer Science, 222: 177-197, 1999. pdf

 

70. Gopalakrishna, S., Koniges, A. and V. Vemuri, Scientific Data Management in High Performance Computing: Simulation of a Prototype System, 1998 Super Computer Conference, Orlando FL, November 1998.

 

69. Barash, D.,A. Orel, and, V. Vemuri,  "Micro genetic algorithm in finding optimal frequencies for stabilizing atoms by high-intensity laser fields,  Late Breaking Papers, Genetic Programming Conference, pp 7-13, Juy 22-25 1998,

 

68. Mock, K. and Vemuri, V.  Information Filtering via Hill Climbing, Wordnet, and Index Patterns, Inf. Processing and Management,, 33:5(633-644), 1997

 

67. Padgett, M. L., Johnson, J. L. and  V. Vemuri,  "Real-world applications of artificial neural networks to cardiac monitoring using radar and recent theoretical developments," SPIE, Orlando, April 97 .

 

66. Cedeño, W. and Vemuri, V.  On the use of niching for dynamic landscapes. IEEE International Conference on Evolutionary Computation, Indianapolis, In. April 1997. pdf

 

65. Vemuri, V. and W. Cedeño, "Industrial applications of genetic algorithms, J of Knowledge-based Intelligent Engineering Systems, Electronic Association of South Australia, 1(1): 1-12, January 1997

 

64. Vemuri, V. and Cedeño, W. (1996). A new genetic algorithm for multi-objective optimization in water resource management. 1996 Knowledge-based Computer Systems, KBCS Proceedings, Bombay, India, December 1996.

 

63. Cedeño, W., and V. Vemuri, "Genetic algorithms in aquifer management, J of Network and Computer Applications, 19:171-187, 1996. pdf

 

62. Smart, J. A. and V. Vemuri, "Interactive simulated annealing," Intl. Journal of General Systems, 25(2):119-146, 1996.

 

61. Styer, D. L. and V. Vemuri, "Artificial neural network controller for multi-link structures,"  IEEE/IAS Intl. Conference on Industrial Automation and Control, pp 37-42,  Hyderabad, India. January 5-7, 1995,

 

60. Styer, D. L. and V. Vemuri, "A comparison of adaptive critic and chemotaxis in adaptive control,"  Mathematical and Computer Modeling Journal, Vol. 21, No. 1/2, pp 109-118, 1995.

 

59. Cedeño, W., and V. Vemuri, "Multi-niche crowding in genetic algorithms and its application to the assembly of DNA restriction fragments, Evolutionary  Computation,, Vol. 2, No. 4,  pp 321-345, Winter 1994. pdf

 

58. Howitt, I., V. Vemuri, J. H. Reed, and T. C. Hsio,  "Comparison of center estimation methods for RBF networks,"  Proc. 14th IMACS Congress,  Vol. 3, pp 1304-1306, Atlanta, GA, July 11-15, 1994.

 

57. Howitt, I., J. H. Reed, V. Vemuri, and T. C. Hsio,  "RBF growing algorith applied to the equalization and co-channel interference rejection problem," Proc. IJCNN, Orlando, FL, pp 3571-3576, July 1994.

 

56. Mock, K., and V. Vemuri, "Information filtering using hill climbing genetic algorithms," Third Golden West Internl. Conference on Intelligent Systems, Las Vegas, NV, June 6-8, 1994.      

 

55. Howitt, I., J. H. Reed, V. Vemuri, and T. C. Hsio,  Recent developments in applying neural nets to equilization and intereferece rejection, in Wireless Personal Communications: Trends and Challenges, Edited by T. S. Rappaport, B. D. Woerner, and J. H. Reed, pp 49-58, 1994.

 

54. Howitt, I., J. H. Reed, V. Vemuri, and T. C. Hsio,  RBF Growing algorithm applied to equilazation and co-channel interference rejection problem, ICNN, Orlando, FL. June 1994.

 

53. Howitt, I., J. H. Reed, V. Vemuri, and T. C. Hsio,  Recent developments in applying neural nets to equalization and intereference rejection, Third Virginia Tech. Symposium on Wireless Personal Communications, pp 1-12, 1993.

 

52. Rogers, R. and V. Vemuri, Exploring phase space concepts in the forecasting of time series with artificial neural nets, Proc. SIMTEC/WNN'93, pp 333-338, San Francisco, November 1993.

 

51. Cedeño, W. and V. Vemuri,  An investigation of DNA mapping with genetic algorithms: Preliminary results,  Proc. SIMTEC/WNN'93, SPIE 2204, pp 133-140, San Fransisco, November 1993.

 

50. Jang. G. S., F. U. Dowla, and V. Vemuri, "A comparison of neural network performance  for seismic phase identification," J. Franklin Institute,  Vol. 330, N0. 3, 505-524., May 1993.

 

49. Vemuri, V. Computer Science and Engineering Curricula, IEEE  Trans. Education, Vol. 36, No. 1, pp 108-110, 1993.

 

48. Vemuri, V. and G. S. Jang, "Inversion of Fredholm integral equations of the first kind with fully connected neural networks," J. of Franklin Institute. 329(2): 241-257, 1992

 

47. Styer, D. L. and V. Vemuri, "Adaptive critic and chemotaxis in adaptive control," in Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 2,  pp 161-166, Proc. ANNIE'92, St. Louis, MO., Nov. 15-18, 1992.

 

46. Jang. G. S., F. U. Dowla, and V. Vemuri, "Performance comparison of some neural network paradigms for solving the seismic phase identification problem,"  Proc. SIMTEC/WNN'92, pp 707-713, Nov. 4-6, 1992. (received a Certificate of Merit).

 

45. Jang. G. S., F. U. Dowla, and V. Vemuri, "Performance  of neural networks for seismic phase identification: A comparative Study,"  Proc. 2nd Pacific Rim Intl. Conference on Artificial Intelligence, pp 253-258, Seoul, S. Korea, Sep. 16-18, 1992.

 

44. J. Smart and V. Vemuri, "A-Vu: A Visualization tool for complex software systems, Proc. Symp. Assessment of Quality Softwre Development Tools, New Orleans, LA, pp 172-182, May 27-29, 1992.

 

43. Cedeño, W. and Vemuri, V. (1992). Dynamic multimodal function optimization using genetic algorithms, Proceedings of the XVIII Latin-American Informatics Conference, Las Palmas de Gran Canaria, Spain: University of Las Palmas, 292-301.

 

42. Anderson, R. W. and V. Vemuri, "Neural Networks  Can be Used to Generate Time-optimal Control Signals, " Neural Networks, Vol. 3, No. 3, pp??-??1992.

 

41. Jang. G. S., F. U. Dowla, and V. Vemuri, "Application of neural networks for seismic phase identification,"Proc. IJCNN 91, Singapore. pp 899-904, Nov. 1991.

 

40. Styer, D. L. and V. Vemuri,  "Preprocessing of adaptive critic inputs for adaptive control,"  In Artificial Intelligence in Real-time Control,  Ed. M. G. Rodd and  G. J. Suski, pp 27-31, Pergamon Press, UK, 1992. (Proc. of the 3rd IFAC International Workshop  on Artificial Intelligence in Real-time Control,  Napa, CA, Sep. 23-25, 1991.)

 

39. Vemuri, V. Simulation of a Distributed Processing System:  A Case Study,  Simulation, Vol. 56, No.5 , pp 302--315, May 1991.

 

38. Vemuri, V. and G. S Jang, "Inversion of Fredholm Integral Equations of the first kind with fully connected Neural Networks," Proc. SPIE Conference,  Orlando, FL. 1-5 April 1991.

 

37. Vemuri, V. and G. S. Jang, "A Neural Network Method of Solving Inverse Problems Arising from Fredholm Integral Equations of the First Kind",  Proc. Second Workshop on Neural Nets, WNN_AIND 91,  pp 207-217, Auburn University, AL, Feb. 11-13, 1991.

 

36. Vemuri, V. and F. U. Dowla, On the Formulation of Continuous Neural Network Models and Their Solution on a Systolic Processor, in Proc. Symposium on Electronic Imaging:  Science and Technology, Santa Clara, CA.  February 11-16, 1990, 1990.

 

35. Dupaguntla, N. R. and V. Vemuri.  A Neural Network Architecture for Texture Segmentation and Labelling.  Proceedings of the International Joint Conference on Neural Networks, Washington, D.C., June 18-22, I:127-133, 1989.

 

34. Dowla, F. U., A. J. DeGroot, S. R. Parker and V. Vemuri.  Back Propagation Neural Networks:  Systolic Implementation for Seismic Signal Filtering.  Neural Networks 1(30):138-153, 1989.

 

33. Vemuri, V.  Multifunction Computer Networking Technology for Developing Countries, Informatics and Telematics, pp ??-??, 1989.

 

32. Talbot, E., F. U. Dowla, and V. Vemuri.  Classification of Seismic Events Using Neural Networks, p. 73-84.  Proceedings of the Artificial Intelligence Conference I: 73-84, 1988.

 

31. Vemuri, S. and V. Vemuri.  A Systems Approach to Pharmaceutical Problems.  Pharmaceutical Technology Sept.1987: 92-101, 1987.

 

30. Vemuri, V., R. A. Liuzzi, J.P. Cavano and P.B. Berra.  Evaluation of Alternate Data Base Machine Designs.  Proceedings of the Fifth Workshop on Computer Architecture for Nonnumeric Processing, Pacific Grove, CA., p. 29-38, 1980.

 

29. Vemuri, V. and J. V. Cornacchio.  Figures of Merit for Software Quality,  744-750.  Proceedings of the Compsac '81, Chicago, IL, 1980.

 

28. Vemuri, V. and A. Raefsky.  On a New Approach to Parameter Estimation by the Method of Sensitivity Functions.  International Journal of System Science 10:395-407, 1979.

 

27. Vemuri, V. and A. Raefsky.  Solution of Sensitive Two-Point Boundary Value Problems.  Journal of the Franklin Institute 307:217-243, 1979.

 

26. Vemuri, V.  On the Current State of Software Reliability Modeling.  Proceedings of the IEEE/POLY Workshop on Software Reliability, Complexity and Cost, Kiamesha Lake, NY, 1979.

 

25. Vemuri, V. and A. Raefsky.  A Numerical Method for Boundary Value Problems.  International Journal of Computers and Electrical Engineering  5:85-104, 1978.

 

24. Vemuri, V. and J. V. Cornacchio.  Use of Software Simulators in Continuing Computer Education, 803-806.  Second International Computer Software and Applications Conference, Chicago, IL, 1978.

 

23. Vemuri, V.  A New Algorithm Suitable for PDE Software, 159-164.  IN Advances in Computer Methods for Partial Differential Equations-II, R. Vichnevetsky (editor), IMACS (AICA), Department of Computer Science, Rutgers University, New Brunswick, NJ, 1977.

 

22. Vemuri, V.  An Analog Computer Method for Solving Fredholm Integral Equations of the First Kind.  International Journal of Computers and Electrical Engineering 2:95-103, 1975.

 

21. Vemuri, V. and P. Tapia.  On Solving Fredholm Integral Equations of the First Kind Using the Interval Programming Algorithm of Robers.  International Journal of Computers and Electrical Engineering  3:409-419, 1975.

 

20. Vemuri, V. and F.P. Chen.  An Initial Value Method for Solving Fredholm Integral Equations of the First Kind.  Journal of Franklin Institute 297:187-200, 1974.

 

19. Vemuri, V. Multiple Objective Optimization in Water Resource Systems.  Water Resources Research 10:44-48, 1974.

 

18. Reid, R. W.  and  V. Vemuri,    On the Noninferior Index Approach to Large-Scale Multi-Criteria systems.  Journal of Franklin Institute 291:241-254, 1971.

 

17. Vemuri, V. and J. A. Dracup.  Nonlinear Runoff Response to Distributed Rainfall Excitation.  Proceedings, the International Water Erosion Symposium, Czechoslavakia, p. 39-47, 1971.

 

16. Vemuri. V. and N. Vemuri.  On the Systems Approach in Hydrology.  Bulletin of the International Association for Scientific Hydrology, Vol. 25, pp ??-??1970.

 

15. Vemuri, V.  An Initial Value Formulation for the CSDT Method of Solving Partial Differential Equations.  Proceedings Spring Joint Computer Conference, p. 403-407, 1970.

 

14. Vemuri, V. and M. Polis.  A Hybrid Computer Modeling Algorithm for a Class of Problems Arising in Large Scale Systems.  Proceedings, Fourth Asilomar Conference on Circuits and Systems, 486-490, 1970.

 

13. Vemuri, V. and W. J. Karplus.  Identification of Nonlinear Parameters of Ground Water Basins via Hybrid Computation.  Water Resources Research 5:172-185, 1969.

 

12. Vemuri, V., J. A. Dracup, R. C. Erdmann, and N. Vemuri.  Sensitivity Analysis Method of System Identification and Its Potential in Hydrologic Research.  Water Resources Research 5:341-349, 1969.

 

11. Vemuri, V.  An Easy Rule to Invert a Class of Tridiagonal Band Matrices I.  The Matrix and Tensor Quarterly 19:72-79, 20:51-53, 1969.

 

10. Vemuri, V.  A Novel Way of Expressing the Inverse of a Class of Tridiagonal Band Matrices in Terms of Gegenbauer Polynomials.  The Matrix and Tensor Quarterly 20:558, 1969.

 

9. Vemuri, V.  Computers in the Research and Teaching of Hydrology, 290-315.  New Developments in Hydrology.  Vol. 1. IN The Progress of Hydrology, 1969.

 

8. Vemuri, V.  On a Property of a Class of Resistance  Networks with a Ladder Structure.  International Journal of Electronics  25:197-199, 1968.

 

7. Vemuri, V., Identification of Non-linear Parameters in Distributed Systems:  A Hybrid Computer Approach.  Ph.D. Dissertation from University of California, Los Angeles, University Microfilms, Ann Arbor, MI, 1968.

 

6. Karplus, W. J. and V. Vemuri.  Heuristic Optimization and  Identification in Hybrid Field Simulation.  Proceedings Fifth  International Congress of AICA, Lausanne, Switzerland, pp. 345-350.

 

5. Vemuri, V. and J. A. Dracup.  Analysis of Nonlinearities in Ground Water Hydrology:  A  Hybrid Computer Approach. Water Resources Research, 3:1047-1058.

 

4. Karplus, W. J. and V. Vemuri.  Hybrid Computer Simulation of Ground Water Basins.  Proceedings of the Symposium on Ground Water Hydrology, American Water Resources Association, San Francisco, CA, pp. 289-300.

 

3. Vemuri, V.  Ceramic Titante Ractifying Barriers.  Indian Journal of  Pure and Applied Physics  5:484-487, 1967.

 

2. Vemuri, V.  A Circuit for Monitoring the Thickness of Films During Vacuum Deposition.  Indian Journal of Pure and Applied Physics 5:365-366, 1966.

 

1. Vemuri, V.  Wind Power.  The Young Engineer, Govt. College of Engineering, Kakinada, India 1958.


rvemuri@ucdavis.edu
Friday, 30  September 2005