Dr. Iyengar's research contributions have spanned a large number of disciplines emphasizing Computational problems in Sensor Networks/Robotics
in the context of Signal/Image Integration and Sensor Fusion problems. The application of this work lies in real time tumor tracking systems that is
currently involved in development with UT South Western Medical Center.
His computational framework has led to a novel range of applications in Sensor Architecture,
Oceanographic Image Understanding, and Autonomous Systems.
He has laid the scientific foundations for cutting-edge software technologies that provide solutions to fundamental
problems in sensor fusion, critical event processing, and autonomous systems and led their deployment to a
whole range of commercial and government applications.
More Specifically, Computational aspects of sensor networks are a fascinating area of fundamental scientific interest
as well as their technological applications.
Dr. Iyengar's paper on "Fast Parallel Thinning Algorithms for Binary Image Skeletonization" was the most read article in International of High performance Computing Applications in the month of January 2006.
Dr. Iyengar invented the Cognitive Information Management Shell a complex event processing architecture and engine
that innovatively combines multiagent systems with machine learning-based agile analytics and distributed middleware.
This shell introduced a new paradigm for combining machine learning with expert knowledge and human input and is perhaps
the most important advance in complex event processing technology for many decades.
Dr. Iyengar led the engineering team at Nulogix
Labs, a start up company that he co-founded, since 2010 for commercializing this technology and leading its
deployment for precision agricultural domain in India and US in collaboration with Morph2o, a reputed scientist from NASA and Indian Agricultural Research Institute.
The system developed by his team provides soil and water management for precision agriculture with the ability to deal with
unpredictable environmental conditions.
It receives data from ground sensors and as well as satellite imagery and both
proactively and reactively provide analytics and control for irrigation, fertilization, yield management, etc.
In 2010-11 the company has been collaborating with several non-governmental organizations in developing countries for deploying this
technology and has received grants/contracts worth 0.5 million dollars. In the near future, this system will provide a
convergent platform for providing wide area analytics for several hundred governmental and nongovernmental organizations
in the developing world.
In the News : Baton Rouge Today         LSU Media Center

His research work was shown on the Discovery channel,
History channel, local ABC news affiliates(WBRZ News), Fox TV channel(Fox 44 WGMB),
Youtube and major news outlets(LSUReville,
The Advocate) around the world,
over 60 million homes
distributed worldwide
(Russia, Korea, Europe, China, India etc.)
In the News
India Times  
Deccan Herald  
Indian Express 
LSU Today  
LSU Reveille

Dr. Iyengar’s research on image processing systems was used in 1988-93 by the US Navy as a centerpiece of architecture. Dr. Iyengar addressed the problem on linkage of low level features to oceanographic objects. Without useful results in this key area, the work of other laboratories involved with this project could not have been integrated into a working prototype system. For three years Dr. Iyengar's research served well as the centerpiece of this pioneering effort in computerized image analysis system.

His work on Brooks-Iyengar fusion algorithm has been used in:
(1) DARPA SensIT program field test
(2) DARPA/ARO ESP MURI and various universities around the world as a foundation topic for information fusion.

The research findings uniquely connect computing techniques to techniques to biological systems protocols and modeling. Dr. Iyengar's work has led to fundamental breakthroughs that allow users to program on many of his protocols and techniques including a framework for detecting glaucomatous progression in the optic nerve head of an eye using proper orthogonal decomposition (IEEE Transactions on Information Technology in Biomedicine) – 2009

Dr. Iyengar's influential text books in Multi-Sensor Fusions , Sensor Network Programming , Wavelet Analysis, Distributed Sensor Networks have been used extensively and translated into many languages worldwide. The research findings uniquely connect computing techniques to imaging techniques to biological systems protocols and modeling.

One of Dr. Iyengar's project along with Dr. Phoha(LA Tech) and Dr. Kannan(LSU) entitled "Fast Web Page Allocation on a Server Using Self-Organizing Properties of Neural Networks" was selected in World's Best Technology Showcase in the year 2007. This is a highly competitive summit and other competitors were Los Alamos Labs, Johns Hopkins University, EPA , NASA and many other.
