I am a Research Scientist, the technical lead on several software projects and research groups. I also develop automated real-time pattern recognition algorithms and visualization techniques for weather phenomena.
Developed an image processing and visualization technique to automatically identify 2D cross-sections of the mitral valve in ultrasound images and to render animated 3D views fast enough to view interactively.
Developed a tutorial program to aid medical students in the study of anatomy. This involved image processing and visualization of MRI images and CT scans of cadavers.
Ph.D in Electrical and Computer Engineering. Research topic was the development of a texture segmentation algorithm whose outputs are nested partitions. This research enabled the development of a multiscale framework for the identification and tracking of storms at different scales.
M.S. in Biomedical Engineering concentrating on image processing and computer vision and their applications to medicine.
THE INDIAN INSTITUTE OF TECHNOLOGY, MADRAS, INDIA, 08/89 - 06/93 B.Tech. in Electronics & Communications Eng.
Developed satellite multi-channel nowcasting technique under consideration for possible inclusion in GOES-R suite of algorithms (2008)
Designed and built an automated storm type classification system based on observed radar data (2007)
Designed and built geographic information systems (GIS) to display, monitor and disseminate warning and watch polygons (2006)
Designed and built a neural network to quality-control radar data (2003)
Designed and built a 4-D multisource merging process to assimilate information from multiple sensors. (2002)
Technical lead on team integrating four-dimensional weather data with terrain information. Uses C++, OpenGL, Geographical Information Systems (2000-2002)
Researched and developed a multiscale framework that enables the identification and tracking of storms at different scales and makes it possible to devise algorithms to detect weather signatures in specific (relative) locations within a storm. (1999-2001)
Technical lead on team driving requirements and design to develop a set of interfaces (Common Operational Development Environment) to streamline the development and incorporation of new weather detection algorithms in National Weather Service Offices around the country. Uses C++, XML. (1999-2000)
Designer and technical leader in developing a system that will pull in data from all the radar in a region and combine them for visualization and algorithm processing. This project (``OPUP''), for the Air Force Weather Service, was first deployed in 1999-2000 and represented a significant advance over current visualization and radar data handling. Uses C++, XML and Oracle. (1998-2000)
Short (less than 6 mo.) projects and work completed before 2000 omitted for space reasons. Please see publications for a more complete list of R&D work.
NOAA Tech 2004 Award for Best Presentation in the category of Techology Transfer to Operations: "Real-time Dissemination of WSR-88D Radar Data over Internet2."
Nominated for the National Oceanographic and Atmospheric Administration (NOAA)'s Technology Transfer Award, 1998.
University Fellow, The Ohio State University, 1993-94.
Third in the IIT, Madras Department of Electrical Engineering (of 75 students: top 5%) in 1989-1993.
Named among the top 1% of Indian high school graduates in 1989.
Lakshmanan, V., 1995: Interactive Three-Dimensional Viewing of Mitral Valve Leaflet Motion. Master's thesis, The Ohio State University, Columbus.
-- 1999: A computationally-efficient oriented scale filter. Technical Report.
-- 2000a: Speeding up a large scale filter. J. of Oc. and Atm. Tech., 17, 468-473.
-- 2000b: Using a genetic algorithm to tune a bounded weak echo region detection algorithm. Journal of Applied Meteorology, 39, 222-230.
-- 2001a: A Heirarchical, Multiscale Texture Segmentation Algorithm for Real-World Scenes. Ph.D. thesis, U. Oklahoma, Norman, OK.
-- 2001b: Lossless coding and compression of radar reflectivity data. 30th International Conference on Radar Meteorology, American Meteorological Society, Munich, 50-52.
-- 2002a: An extensible, multi-source meteorological algorithm development interface. 21st Conference on Severe Local Storms, Amer. Meteor. Soc., San Antonio, TX.
-- 2002b: Real-time merging of multisource data. 21st Conference on Severe Local Storms, Amer. Meteor. Soc., San Antonio, TX.
-- 2002c: Statistical clustering for hierarchical storm identification. 21st Conference on Severe Local Storms, Amer. Meteor. Soc., San Antonio, TX.
-- 2003a: Motion estimator based on hierarchical clusters. 19th Int'l Conf. on Inter. Inf. Proc. Sys. (IIPS) for Meteor., Ocean., and Hydr., Amer. Meteor. Soc., Long Beach, CA.
-- 2003b: Real-time merging of multi-source data. 19th Int'l Conf. on Inter. Inf. Proc. Sys. (IIPS) for Meteor., Ocean., and Hydr., Amer. Meteor. Soc., Long Beach, CA.
-- 2004: A separable filter for directional smoothing. IEEE Geosc. and Remote Sensing Letters, 1, 192-195.
-- 2007: An overview of radar data compression. SPIE Optics + Photonics: Satellite Data Compression, Communications and Archiving III, SPIE, San Diego, CA, number 6683-07.
Lakshmanan, V., I. Adrianto, T. Smith, and G. Stumpf, 2005a: A spatiotemporal approach to tornado prediction. Int'l Joint Conf. on Neural Networks, Montreal, CDROM 1072.
Lakshmanan, V., V. DeBrunner, and R. Rabin, 2000a: Texture-based segmentation of satellite weather imagery. Int'l Conference on Image Processing, Vancouver, 732-735.
-- 2002: Nested partitions using texture segmentation. Southwest Symposium on Image Analysis and Interpretation, IEEE, IEEE Computer Press, Santa Fe, New Mexico.
Lakshmanan, V., E. Ebert, and S. Haupt, 2008: The 2008 artificial intelligence competition. 6th Conference on Artificial Intelligence Applications to Environmental Science, Amer. Meteor. Soc., New Orleans, CD-ROM, 2.1.
Lakshmanan, V., A. Fritz, T. Smith, K. Hondl, and G. J. Stumpf, 2007a: An automated technique to quality control radar reflectivity data. J. Applied Meteorology, 46, 288-305.
Lakshmanan, V. and K. Hondl, 2007: A polar-coordinate real-time three-dimensional rapidly updating merger technique for phased array radar scanning strategies. 33rd Conference on Radar Meteorology, Amer. Meteor. Soc., Cairns, Australia, CD-ROM, 7.4.
Lakshmanan, V., K. Hondl, and G. Stumpf, 2004: The user of lightning mapping array data in WDSS-II. 22nd Conference on Severe Local Storms, Amer. Meteor. Soc., Hyannis, MA, CD-ROM, P14.3.
Lakshmanan, V., K. Hondl, G. Stumpf, and T. Smith, 2003a: Quality control of weather radar data using texture features and a neural network. 5th Int'l Conf. on Adv. in Patt. Recogn., IEEE, Kolkota.
-- 2003b: Quality control of WSR-88D data. 31st Radar Conference, Amer. Meteor. Soc., Seattle, 522-525.
Lakshmanan, V. and K. Ortega, 2007: A technique for creating probabilistic spatio-temporal forecasts. 8th Int'l Conf. on Adv. in Patt. Recogn., IEEE, Kolkota.
Lakshmanan, V., K. Ortega, and T. Smith, 2007b: Creating spatio-temporal tornado probability forecasts using fuzzy logic and motion variability. 5th Conf. on Artificial Intelligence Appl. to Environ. Science, Amer. Meteor. Soc., San Antonio, TX.
Lakshmanan, V. and R. Rabin, 2008: Nowcasting of thunderstorms from GOES infrared and visible imagery. 5th GOES Users' Conference, Amer. Meteor. Soc., New Orleans, CD-ROM, P1.73.
Lakshmanan, V., R. Rabin, and V. DeBrunner, 2000b: Identifying and tracking storms in satellite images. Second Artificial Intelligence Conference, American Meteorological Society, Long Beach, CA, 90-95.
-- 2001: Segmenting radar reflectivity data using texture. 30th International Conference on Radar Meteorology, American Meteorological Society, Munich, 50-52.
-- 2003c: Multiscale storm identification and forecast. J. Atm. Res., 67, 367-380.
Lakshmanan, V., T. Smith, K. Cooper, J. Levit, K. Hondl, G. Stumpf, and D. Bright, 2006a: High-resolution radar data and products over the continental united states. 22th Int'l Conf. on Inter. Inf. Proc. Sys. (IIPS) for Meteor., Ocean., and Hydr., Amer. Meteor. Soc., Atlanta, CD-ROM.
Lakshmanan, V., T. Smith, K. Hondl, G. J. Stumpf, and A. Witt, 2006b: A real-time, three dimensional, rapidly updating, heterogeneous radar merger technique for reflectivity, velocity and derived products. Weather and Forecasting, 21, 802-823.
Lakshmanan, V., T. Smith, G. J. Stumpf, and K. Hondl, 2007c: The warning decision support system - integrated information. Weather and Forecasting, 22, 596-612.
Lakshmanan, V. and G. Stumpf, 2005: A real-time learning technique to predict cloud-to-ground lightning. Fourth Conference on Artificial Intelligence Applications to Environmental Science, Amer. Meteor. Soc., San Diego, CD-ROM, J5.6.
Lakshmanan, V., G. Stumpf, and A. Witt, 2005b: A neural network for detecting and diagnosing tornadic circulations using the mesocyclone detection and near storm environment algorithms. 21st Int'l Conference on Information Processing Systems, Amer. Meteor. Soc., San Diego, CD-ROM, J5.2.
Lakshmanan, V. and M. Valente, 2004: Quality control of radar reflectivity data using satellite data and surface observations. 20th Int'l Conf. on Inter. Inf. Proc. Sys. (IIPS) for Meteor., Ocean., and Hydr., Amer. Meteor. Soc., Seattle, CD-ROM, 12.2.
Lakshmanan, V. and A. Witt, 1996a: Detection of bounded weak echo regions in meteorological images. 13th Int'l Conference on Pattern Recognition, International Association of Pattern Recognition, Vienna, 895-899.
-- 1996b: A fuzzy logic classifier for the detection of bounded weak echo regions in meteorological images. Artificial Neural Networks in Engineering ANNIE '96, ASME Press, St. Louis, MO, 513-518.
-- 1996c: A fuzzy logic scheme for the detection of bounded weak echo regions in meteorological images. IAPR Workshop on Machine Perception Applications, International Association of Pattern Recognition, Graz, Austria, 185-198.
-- 1997a: Classification of skewed distributions: Detecting severe updrafts. Artificial Intelligence and Soft Computing, International Association of Science and Technology for Development, Banff, Canada, 37-40.
-- 1997b: Detecting bounded weak echo regions. 28th International Conference on Radar Meteorology, American Meteorological Society, Austin, TX, ???
-- 1997c: Detecting rare signatures. Artificial Neural Networks in Engineering ANNIE '97, ASME Press, St. Louis, MO, 521-526.
-- 1997d: A fuzzy logic approach to detecting severe updrafts. AI Appl., 11, 1-12.
Lynn, R. and V. Lakshmanan, 2002: Virtual radar volumes: Creation, algorithm access and visualization. 21st Conference on Severe Local Storms, Amer. Meteor. Soc., San Antonio, TX.
Marzban, C. and V. Lakshmanan, 1999: On the uniqueness of gandin and murphy's equitable performance measures. Monthly Weather Review, 127, 1134-1136.
Pal, N., A. Mandal, S. Pal, and J. Das, 2006: Fuzzy rule-based approach for detection of bounded weak-echo regions in radar images. J. Appl. Meteo. and Clim., 45, 1304-1312.
Non-refereed presentations as second author or higher omitted.