Quality Control Data

Valliappa LAKSHMANAN

Work Address

Radar Research and Development Division

National Severe Storms Laboratory

*** ***** *. ***** ****, Norman OK 73072-7327

Email: ********@**.***

pdf (printable) resume pdf (printable) curriculum vitae

Summary

Expertise in machine intelligence R&D for meteorological applications.

Expertise designing and developing large-scale software systems.

Excellent skills in communicating technical and non-technical material to diverse

audiences.

Employment History

CIMMS - OU & NSSL,NORMAN OK,07/95-PRESENT

I am a Research Scientist who has developed several real-time pattern recognition

algorithms and visualization techniques for weather phenomena. I am also the technical

lead on several software projects, including the Warning Decision Support System -

Integrated Information (WDSS-II).

RESEARCH INSTITUTE,CLEVELAND CLINIC FOUNDATION, CLEVELAND OH, 04/94-04/95

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.

THE OHIO STATE UNIVERSITY MEDICAL SCHOOL, COLUMBUS OH, 02/94-06/95

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.

Education

THE UNIVERSITY OF OKLAHOMA, NORMAN OK, 01/1999 - 10/2001

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.

THE OHIO STATE UNIVERSITY, COLUMBUS OH, 08/93 - 06/95

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.

Research & Development Experience

Architect of the Warning Decision Support System - Integrated Information (WDSS-II), a

suite of multi-sensor machine-intelligence algorithms, tools and displays for research,

weather analysis and severe weather warning decision-making. Uses C++, Java, J2EE, XML,

CORBA, OpenGL and network programming on Linux and Windows (1999-)

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.

Honors, Awards, Memberships

2012 Innovator Award by the University of Oklahoma Office of Technology Development for

developing ``groundbreaking (WDSS-II) software [that] is used worldwide to help predict

weather phenomena including hail, precipitation, mesocyclones, and tornadoes. Used by

private companies, research labs, National and International governments across the globe,

this technology provides users across the world with the information needed to make

property and life-saving decisions in the event of hazardous weather''.

Nominated by National Severe Storms Laboratory for Presidential Early Career Award for

Scientists and Engineers (PECASE), 2006

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.

Computer Skills

Software design, architecture, implementation and technical leadership experience using

Object-Oriented methods.

An expert in C++, C and Java.

Familiar with various technologies including Spring, JEE, JDBC, servlets, XML, CORBA, Qt,

OpenGL; operating systems including UNIX and Windows; concepts including Object-Oriented

Analysis and Design, design patterns and multithreaded programming.

Instructor/author of corporate courses in: Spring Framework, Java security, Java Best

Practices, JEE/J2EE Design Patterns, Java and XML, Object Oriented Design Patterns,

Introductory Java Programming, Advanced C++ Programming and Design, Service Oriented

Architectures and XML Web Services

Research Publications

V. Lakshmanan, ``The simpler the better,'' in 6th Conf. on Artificial Applications to the

Environmental Sciences, (Phoenix, AZ), p. 3.5, Amer. Meteor. Soc., Feb 2009.

V. Lakshmanan, J. Gourley, Z. Flamig, and S. Giangrande, ``A simple data-driven model for

streamflow prediction,'' in 6th Conf. on Artificial Applications to the Environmental

Sciences, (Phoenix, AZ), p. J6.2, Amer. Meteor. Soc., Jan 2009.

V. Lakshmanan, T. Smith, and R. Rabin, ``Automated real-time extraction of storm

properties from gridded fields,'' in Preprints, Fifth European Conf. on Radar in

Meteorology and Hydrology, (Helsinki), Finnish Meteorological Institute, June 2008.

V. Lakshmanan, J. Zhang, and C. Langston, ``Quality control of canadian radar

reflectivity data,'' in Preprints, Fifth European Conf. on Radar in Meteorology and

Hydrology, (Helsinki), Finnish Meteorological Institute, June 2008.

V. Lakshmanan, E. Ebert, and S. Haupt, ``The 2008 artificial intelligence competition,''

in 6th Conf. on Artificial Intelligence Applications to Environmental Science, (New

Orleans), p. 2.1, Amer. Meteor. Soc., Jan 2008.

V. Lakshmanan and R. Rabin, ``Preprints, nowcasting of thunderstorms from GOES infrared

and visible imagery,'' in 5th GOES Users' Conf., (New Orleans), p. P1.73, Amer. Meteor.

Soc., Jan 2008.

V. Lakshmanan and K. Hondl, ``A polar-coordinate real-time three-dimensional rapidly

updating merger technique for phased array radar scanning strategies,'' in 33rd Conf. on

Training Received

Introduction to ARC/INFO, a Geographical Information System (GIS), ESRI, 1999.

Software Project Management, Learning Tree International, 1998.

Object-Oriented Design, Advanced Concepts Center (Lockheed Martin), 1997.

Panels, working groups, Invited Talks, etc.

Member, American Meteorological Society committee on Interactive Information and

Processing Systems, 2010-2012

Organizer, 2008 Artificial Intelligence Competition Jan 2008

Member, American Meteorological Society committee on Artificial Intelligence 2004-2009

Reviewer for National Science Foundation Dynamic Data Driven Applications program, J. of

Applied Meteorology, J. of Oceanic and Atmospheric Technology, J. of Weather, Climate and

Society, Weather and Forecasting, IEEE Transactions on Geosciences and Remote Sensing,

IEEE Transactions on Evolutionary Computation, Advances in Atmospheric Sciences

Session Chair/Program Committee Member for:

Artificial Intelligence Applications, American Meteo. Society (multiple years)

Interactive Information Processing, American Meteo. Society (multiple years)

ACM Knowledge Discovery and Data Mining (2011)

IEEE Conf. on Pattern Analysis and Recognition (2007)

SPIE Optics + Photonics: Satellite Data Compression, Communications and Archiving III

(2007)

One of two NSSL representatives in the working group on the Common Operational

Development Environment. (1998-2000)

Invited talks:

To Geneva Center for Security Policy Artificial Intelligence Implications on Environment,

May. 2011, Geneva, Switzerland

To GOES-R GLM AWG/R3 Science Meeting An Algorithm to Identify and Track Objects on

Spatial Grids, Sep. 2009, Huntsville, AL

To GOES-R satellite compression working group An Overview of Radar Compression, Aug.

2007, San Diego, CA

Short course on Artificial Intelligence Machine Learning Techniques on Spatial Grids,

Jan. 2007, Corpus Christi, TX

NEXRAD Technical Advisory Committee Meeting (Information Briefing) Quality Control Neural

Network, Oct. 12, 2005, San Diego, CA.

Workshop on Severe Weather Technology for National Weather Service (NWS) Decision Making,

organized by the NWS Meteological Development Laboratory WDSS-II: Aiding Severe Weather

Forecasting, July 13, 2005, Silver Spring, MD

Int'l Conference on Advances in Pattern Recognition Quality Control of Radar Reflectivity

Data Using Texture Features and a Neural Network, Dec. 13, 2003, Kolkota

Los Alamos National Laboratory: Fuzzy detection in Radar Images,, Jan 31, 1997

University of Tulsa: Electrical Engineering in Meteorological Research,, Oct 29, 1999

Lakshman : ********@****.****.***

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