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V. Lakshmanan and J. Kain, ``A Gaussian mixture model approach to forecast verification,'' Weather and Forecasting, vol. 0, no. 0, p. subm., 2009.

2

V. Lakshmanan and T. Smith, ``An objective method of evaluating and devising storm tracking algorithms,'' Wea. and Forecasting, p. submitted, 2009.

3

V. Lakshmanan, K. Elmore, and M. Richman, ``Reaching scientific consensus through a competition,'' Bull. of Amer. Meteo. Soc., p. subm., 2009.

4

T. Smith and V. Lakshmanan, ``Real-time, rapidly updating severe weather products for virtual globes,'' Computers and Geosciences, p. subm., 2009.

5

S. Sen Roy, V. Lakshmanan, S. Roy Bhowmik, and S. Thampi, ``Doppler radar based nowcastingof Cyclone Ogni,'' J. Earth System Science, p. acc., 2009.

6

V. Lakshmanan, J. Zhang, and K. Howard, ``A technique to censor biological echoes in radar reflectivity data,'' J. Applied Meteorology, vol. 1, p. subm., 1 2009.

7

V. Lakshmanan and T. Smith, ``Data mining storm attributes from spatial grids,'' J. Ocea. and Atmos. Tech., vol. 26, no. 11, pp. 2353-2365, 2009.

8

V. Lakshmanan, K. Hondl, and R. Rabin, ``An efficient, general-purpose technique for identifying storm cells in geospatial images,'' J. Ocean. Atmos. Tech., vol. 26, no. 3, pp. 523-37, 2009.

9

I. Adrianto, T. Trafalis, and V. Lakshmanan, ``Support vector machines for spatiotemporal tornado prediction,'' Int'l Journal of General Systems, vol. 38, no. 7, pp. 759-776, 2009.
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10

V. Lakshmanan, T. Smith, G. J. Stumpf, and K. Hondl, ``The warning decision support system - integrated information,'' Weather and Forecasting, vol. 22, no. 3, pp. 596-612, 2007.

11

V. Lakshmanan, A. Fritz, T. Smith, K. Hondl, and G. J. Stumpf, ``An automated technique to quality control radar reflectivity data,'' J. Applied Meteorology, vol. 46, pp. 288-305, Mar 2007.

12

N. Pal, A. Mandal, S. Pal, J. Das, and V. Lakshmanan, ``Fuzzy rule-based approach for detection of bounded weak-echo regions in radar images,'' J. Appl. Meteo. and Clim., vol. 45, no. 9, pp. 1304-1312, 2006.

13

V. Lakshmanan, T. Smith, K. Hondl, G. J. Stumpf, and A. Witt, ``A real-time, three dimensional, rapidly updating, heterogeneous radar merger technique for reflectivity, velocity and derived products,'' Weather and Forecasting, vol. 21, no. 5, pp. 802-823, 2006.

14

V. Lakshmanan, ``A separable filter for directional smoothing,'' IEEE Geosc. and Remote Sensing Letters, vol. 1, pp. 192-195, 7 2004.

15

V. Lakshmanan, R. Rabin, and V. DeBrunner, ``Multiscale storm identification and forecast,'' J. Atm. Res., vol. 67, pp. 367-380, July 2003.

16

V. Lakshmanan, ``Speeding up a large scale filter,'' J. of Oc. and Atm. Tech., vol. 17, pp. 468-473, April 2000.

17

V. Lakshmanan, ``Using a genetic algorithm to tune a bounded weak echo region detection algorithm,'' Journal of Applied Meteorology, vol. 39, pp. 222-230, 2 2000.

18

C. Marzban and V. Lakshmanan, ``On the uniqueness of gandin and murphy's equitable performance measures,'' Monthly Weather Review, vol. 127, pp. 1134-1136, June 1999.

19

V. Lakshmanan and A. Witt, ``A fuzzy logic approach to detecting severe updrafts,'' AI Appl., vol. 11, pp. 1-12, May 1997.

20

V. Lakshmanan and J. Zhang, ``Censoring biological echoes in weather radar images,'' in 6th International Conference on Fuzzy Systems and Knowledge Discovery, (Tianjin, China), IEEE, IEEE Computer Press, Aug. 2009.

21

V. Lakshmanan, ``An overview of radar data compression,'' in SPIE Optics + Photonics: Satellite Data Compression, Communications and Archiving III, no. 07 in 6683, (San Diego, CA), SPIE, Aug. 2007.

22

V. Lakshmanan and K. Ortega, ``A technique for creating probabilistic spatio-temporal forecasts,'' in 8th Int'l Conf. on Adv. in Patt. Recogn., (Kolkota), IEEE, Jan 2007.

23

V. Lakshmanan, I. Adrianto, T. Smith, and G. Stumpf, ``A spatiotemporal approach to tornado prediction,'' in Int'l Joint Conf. on Neural Networks, (Montreal), p. CDROM 1072, July 2005.

24

V. Lakshmanan, K. Hondl, G. Stumpf, and T. Smith, ``Quality control of weather radar data using texture features and a neural network,'' in 5th Int'l Conf. on Adv. in Patt. Recogn., (Kolkota), IEEE, Dec 2003.

25

V. Lakshmanan, V. DeBrunner, and R. Rabin, ``Nested partitions using texture segmentation,'' in Southwest Symposium on Image Analysis and Interpretation, (Santa Fe, New Mexico), IEEE, IEEE Computer Press, Apr. 2002.

26

V. Lakshmanan, V. DeBrunner, and R. Rabin, ``Texture-based segmentation of satellite weather imagery,'' in Int'l Conference on Image Processing, (Vancouver), pp. 732-735, Sept. 2000.

27

V. Lakshmanan and A. Witt, ``Detecting rare signatures,'' in Artificial Neural Networks in Engineering ANNIE '97, (St. Louis, MO), pp. 521-526, ASME Press, 1997.

28

V. Lakshmanan and A. Witt, ``A fuzzy logic classifier for the detection of bounded weak echo regions in meteorological images,'' in Artificial Neural Networks in Engineering ANNIE '96, (St. Louis, MO), pp. 513-518, ASME Press, 1996.

29

V. Lakshmanan and A. Witt, ``Detection of bounded weak echo regions in meteorological images,'' in 13th Int'l Conference on Pattern Recognition, (Vienna), pp. 895-899, International Association of Pattern Recognition, 1996.

30

V. Lakshmanan and A. Witt, ``A fuzzy logic scheme for the detection of bounded weak echo regions in meteorological images,'' in IAPR Workshop on Machine Perception Applications, (Graz, Austria), pp. 185-198, International Association of Pattern Recognition, 1996.

31

V. Lakshmanan and A. Witt, ``Classification of skewed distributions: Detecting severe updrafts,'' in Artificial Intelligence and Soft Computing, (Banff, Canada), pp. 37-40, International Association of Science and Technology for Development, 1997.

32

V. Lakshmanan, ``Predicting turbulence using partial least squares regression and an artificial neural network,'' in 7th Conference on Artificial Applications to the Environmental Sciences, (Atlanta, GA), p. X.Z, Amer. Meteor. Soc., Jan 2010.

33

V. Lakshmanan, ``Tuning an algorithm for identifying and tracking cells,'' in Southern Thunder 2009 Workshop, (Cocoa Beach, FL), p. CD, Nat. Aero. Space Admin., July 2009.

34

V. Lakshmanan and T. Smith, ``Lighting warning and prediction using observations and models,'' in 4th Conference on the Meteorological Applications of Lightning Data, (Phoenix), p. 6.4, Amer. Meteor. Soc., Jan 2009.

35

V. Lakshmanan, ``The simpler the better,'' in 6th Conference on Artificial Applications to the Environmental Sciences, (Phoenix, AZ), p. 3.5, Amer. Meteor. Soc., Feb 2009.

36

V. Lakshmanan, J. Gourley, Z. Flamig, and S. Giangrande, ``A simple data-driven model for streamflow prediction,'' in 6th Conference on Artificial Applications to the Environmental Sciences, (Phoenix, AZ), p. J6.2, Amer. Meteor. Soc., Jan 2009.

37

V. Lakshmanan, T. Smith, and R. Rabin, ``Automated real-time extraction of storm properties from gridded fields,'' in Preprints, Fifth European Conference on Radar in Meteorology and Hydrology, (Helsinki), Finnish Meteorological Institute, June 2008.

38

V. Lakshmanan, J. Zhang, and C. Langston, ``Quality control of canadian radar reflectivity data,'' in Preprints, Fifth European Conference on Radar in Meteorology and Hydrology, (Helsinki), Finnish Meteorological Institute, June 2008.

39

V. Lakshmanan, E. Ebert, and S. Haupt, ``The 2008 artificial intelligence competition,'' in 6th Conference on Artificial Intelligence Applications to Environmental Science, (New Orleans), p. 2.1, Amer. Meteor. Soc., Jan 2008.

40

V. Lakshmanan and R. Rabin, ``Preprints, nowcasting of thunderstorms from GOES infrared and visible imagery,'' in 5th GOES Users' Conference, (New Orleans), p. P1.73, Amer. Meteor. Soc., Jan 2008.

41

V. Lakshmanan and K. Hondl, ``A polar-coordinate real-time three-dimensional rapidly updating merger technique for phased array radar scanning strategies,'' in 33rd Conference on Radar Meteorology, (Cairns, Australia), p. 7.4, Amer. Meteor. Soc., Aug. 2007.

42

V. Lakshmanan, K. Ortega, and T. Smith, ``Creating spatio-temporal tornado probability forecasts using fuzzy logic and motion variability,'' in 5th Conf. on Artificial Intelligence Appl. to Environ. Science, (San Antonio, TX), Amer. Meteor. Soc., 2007.

43

V. Lakshmanan, T. Smith, K. Cooper, J. Levit, K. Hondl, G. Stumpf, and D. Bright, ``High-resolution radar data and products over the continental united states,'' in Preprints, 22th Int'l Conf. on Inter. Inf. Proc. Sys. (IIPS) for Meteor., Ocean., and Hydr., (Atlanta), Amer. Meteor. Soc., Feb 2006.

44

V. Lakshmanan and G. Stumpf, ``A real-time learning technique to predict cloud-to-ground lightning,'' in Preprints, Fourth Conference on Artificial Intelligence Applications to Environmental Science, (San Diego), p. J5.6, Amer. Meteor. Soc., Jan 2005.

45

V. Lakshmanan, G. Stumpf, and A. Witt, ``A neural network for detecting and diagnosing tornadic circulations using the mesocyclone detection and near storm environment algorithms,'' in Preprints,21st Int'l Conference on Information Processing Systems, (San Diego), p. J5.2, Amer. Meteor. Soc., Jan 2005.

46

V. Lakshmanan, K. Hondl, D. MacGorman, and G. Stumpf, ``Preprints, the use of lightning mapping array data in WDSS-II,'' in 22nd Conference on Severe Local Storms, (Hyannis, MA), p. P14.3, Amer. Meteor. Soc., 2004.

47

V. Lakshmanan and M. Valente, ``Quality control of radar reflectivity data using satellite data and surface observations,'' in 20th Int'l Conf. on Inter. Inf. Proc. Sys. (IIPS) for Meteor., Ocean., and Hydr., (Seattle), p. 12.2, Amer. Meteor. Soc., Jan 2004.

48

V. Lakshmanan, K. Hondl, G. Stumpf, and T. Smith, ``Quality control of WSR-88D data,'' in 31st Radar Conference, (Seattle), pp. 522-525, Amer. Meteor. Soc., Aug 2003.

49

V. Lakshmanan, ``Motion estimator based on hierarchical clusters,'' in 19th Int'l Conf. on Inter. Inf. Proc. Sys. (IIPS) for Meteor., Ocean., and Hydr., (Long Beach, CA), Amer. Meteor. Soc., Feb. 2003.

50

V. Lakshmanan, ``An extensible, multi-source meteorological algorithm development interface,'' in 21st Conference on Severe Local Storms, (San Antonio, TX), Amer. Meteor. Soc., 2002.

51

V. Lakshmanan, ``Statistical clustering for hierarchical storm identification,'' in 21st Conference on Severe Local Storms, (San Antonio, TX), Amer. Meteor. Soc., 2002.

52

R. Lynn and V. Lakshmanan, ``Virtual radar volumes: Creation, algorithm access and visualization,'' in 21st Conference on Severe Local Storms, (San Antonio, TX), Amer. Meteor. Soc., 2002.

53

V. Lakshmanan, ``Real-time merging of multisource data,'' in 21st Conference on Severe Local Storms, (San Antonio, TX), Amer. Meteor. Soc., 2002.

54

V. Lakshmanan, ``Real-time merging of multi-source data,'' in 19th Int'l Conf. on Inter. Inf. Proc. Sys. (IIPS) for Meteor., Ocean., and Hydr., (Long Beach, CA), Amer. Meteor. Soc., Feb. 2003.

55

V. Lakshmanan, ``Lossless coding and compression of radar reflectivity data,'' in 30th International Conference on Radar Meteorology, (Munich), pp. 50-52, American Meteorological Society, July 2001.

56

V. Lakshmanan, R. Rabin, and V. DeBrunner, ``Segmenting radar reflectivity data using texture,'' in 30th International Conference on Radar Meteorology, (Munich), pp. 50-52, American Meteorological Society, July 2001.

57

V. Lakshmanan, R. Rabin, and V. DeBrunner, ``Identifying and tracking storms in satellite images,'' in Second Artificial Intelligence Conference, (Long Beach, CA), pp. 90-95, American Meteorological Society, 2000.

58

V. Lakshmanan and A. Witt, ``Detecting bounded weak echo regions,'' in 28th International Conference on Radar Meteorology, (Austin, TX), p. ???, American Meteorological Society, 1997.

59

V. Lakshmanan, A Heirarchical, Multiscale Texture Segmentation Algorithm for Real-World Scenes.
PhD thesis, U. Oklahoma, Norman, OK, 2001.

60

V. Lakshmanan, ``Interactive three-dimensional viewing of mitral valve leaflet motion,'' Master's thesis, The Ohio State University, Columbus, 1995.