Dr. S. S. Iyengar Research Commercialization and Impact

30 years of Discoveries and Inovations.

The Brooks–Iyengar hybrid algorithm for distributed control in the presence of noisy data combines Byzantine agreement with sensor fusion. It bridges the gap between sensor fusion and Byzantine fault tolerance. This seminal algorithm unified these disparate fields for the first time. Essentially, it combines Dolev’s algorithm for approximate agreement with Mahaney and Schneider’s fast convergence algorithm (FCA). The algorithm assumes N processing elements (PEs), t of which are faulty and can behave maliciously. It takes as input either real values with inherent inaccuracy or noise (which can be unknown), or a real value with apriori defined uncertainty, or an interval. The output of the algorithm is a real value with an explicitly specified accuracy. The algorithm runs in O(NlogN) where N is the number of PEs: see Big O notation. It is possible to modify this algorithm to correspond to Crusader’s Convergence Algorithm (CCA), showever, the bandwidth requirement will also increase. The algorithm has applications in distributed control, software reliability and High-performance computing. Wikipedia

Application in DARPAS's program demonstration with BBN, Cambridge Massachussetts, MURI, researchers from PSU/ARL, Duke, University of Wisconsin, UCLA, Cornell and LSU.

In 2000, the DARPA program manager used two major demostrations to showcase SensIT's advances and document the ability of sensor networks to provide new capabilities. One demostration took place at the Twentynine Palms, California Marine Training grounds in August 2000, the other took place at BBN offices in Cambridge, Massachusetts in October 2011. Dr. Gail Mitchell of BBN coordinated this work for BBN, DARPA's SensIT integration contractor. Both demostrations used the Brooks-Iyengar fusion approach to combine sensor readings in real-time. Acoustic, seismic, and motion dectection readings from multiple sensors were combined and fed into a distributed tracking system. The first deployment was effectivem but noisy. The secound demonstration built on the success of the first testing California. An improved outfielder algorithm was used to determine which node was best situated to continue existing tracks. This work was an essential precursor to the Emergent Sensor Plexus MURI from Penn State Applied Reasearch Laboratory (PSU/ARL) with Dr. Sashi Phoha as PI. In that MURI, researchers from PSU/ARL, Duke, University of Wisconsin, UCLA, Cornell, and LSU extended SensIT's advances to create a practical and survivable sensor network applications.

Application of this algorithm in modern day linux operating system for combining data in fault-tolerance.(MINIX)

In 1996, Iyengar's group, in collaboration with Brooks and with funding form Oak Ridge National Laboratory and office of Naval Research, Invented a method of fault tolerance modeling that offers a computationally inspired real-time management solution. This work has emerged in new versions of real time extensions to Linux Operating Systems. Many of these algorithms were used and installed in the RT Linux Operating System. They are now working on formal model verification by incorporating the algorithms into a new embedded kernel for robotic applications.

The profound contribution of the Brooks-Iyengar Distributed Computational Sensing work has enhanced new real-time features by adding fault tolerant capabilities.

Select Letters

"...The seminal work of professor Iyengar and his colleagues on sensor networks infestructure constitutes a foundation for sensor placement and optimization of information obtained from sensor networks.The ideas and algorithms introduced by Iyengar et al. Played an important role in Telcordia patent 019576 entitled "Method for placement of sensors for Surveillance" and Motorola patent 7688793 entitled, "Wireless sensor node group affiliation method and apparatus," both of which build up upon his pioneering work.

I belive that professor Iyengar work on sensor deployment, coverage, and surveillance has led to major advances in network technologies...."

Marek Rusinkiewicz Vice President for research and General Manager of Telecordia

"...the impact of this work has been significant. The Brooks-Iyengar Algorithm makes it possible to extract reliable data from sensor networks when some sensors are unreliable, thus adding a fault tolerant aspect. Unreliable sensor data are typically the case in systems that Raytheon develops for its customers, so applications of the algorithm made Raytheon and its customers more successful without increased investment in improved sensor reliability. This saved money, always important in today's increasingly budget conscious environment.

...the Brooks-Iyengar algorithm continues to have significant impact where its is applied to Raytheon's programs.

Intelligence, Information and Service Raytheon

Early Glaucoma Detection

Dr. Iyengar and his colleagues at Nulogix have invented a device with an innovative technology that enables a person to see changes in intra ocular pressure (IOP) when he looks at his eye in the mirror. The purpose of this invention is to ensure that glaucoma's silent damage is detected as early as possible, well ahead of any damage. It will be especially useful to people who are at high risk of getting their retina damaged by increased intra ocular pressure, such as those with high blood pressure or a genetic history of glaucoma.

The U.S. Patent Office and the World Intellectual Property Organization have published patent applications filed by Nulogix for this invention. The company was recently named a finalist in the Enterprise Charlotte Economic Council's "Innovation 2 Industry Florida" competition for this technology and is seeking investment and clinical partners.

More precise radiotherapy treatment of lung tumors

S. S. Iyengar, Xin Li , Huanhuan Xu, Supratik Mukhopadyay, N. Balakrishana, Amit Sawant and Puneeth Iyengar worked towards providing a better more precise radiotherapy treatment of lung tumor computer in January 2012. A computational framework for modeling the respiratory motion of lung tumors provides a 4D parametic representation that tracks, analyzes, and models movement to provide more accurate guidance in the planning and delivery of lung tumor radiotherapy.

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.)

One of Dr. Iyengar's Students Brian Obe's love of digital artistry emerged in 1990 with a visit to LSU robotics research laboratory where he was introduced to many techniques and that ended him getting an animation award at the 78th Academy Awards.

One of Dr. Iyengar’s project along with Dr. Phoha (LA Tech) and Dr. Kannan (LSU) entitled “Fast Page Allocation on a Sever Using Self-Organization Properties of Neural Networks” was selected to be in the world’s Best Technology Showcase in the year 2007. This is a highly competitive summit and other companies were Alos Alamos National Labs, John Hopkins University, EPS, NASA and many others.

  • "Professor receives large grants from Navy, Army" [Photo]

  • Elected Fellow of ACM [Photo]

  • "For the Record" [Photo]

Director of the Discoverlab

  • Fellow, National Academy of Inventors, 2013

  • Fellow, IEEE, 1995, Fellow, AAAS, 2000, Fellow, ACM, 2001

  • Fellow of Institution of Engineers (India)

  • Fellow Design and Process Science SDPS, 2004

  • 2012 Village Fellow The Academy of Trans-disciplinary Learning and Advance Studies

  • Member, European Academy of Sciences, 2002

  • Founding Editor & chief, International Journal of Distributed Sensor

  • Founding Chair, Innovations and Commercial Applications of Distributed Sensor Networks Conference

  • Member of the International Conference Program Committee on sensor Networks/Distributed Computing, Keynote Speaker for various international conferences all around the world 2004-2008

  • Editor/Editorial board member of IEEE Computer Journals - Various IEEE Transactions and the Computer Magazine. Member of the National Lib of Madicine Biomedical Lib Review Committee NIH (1993)

  • Member of the European Sensor Networking Community jointly with University of Melbourne, Australia (2002)

  • Member of the National Research Council of Experts reviewing international proposals

  • Co-Founder of Groupthink Co., 2011

  • President of Noetic Nexus Co., 2011, Cheif Scientist of NuLogix Lab.,2010

  • Member of the Programming Team for SynaBee, 2011

  • System and Architecture for Robust Management of Resources in a Wide-Area Network. *U.S. Patent No. 8572290 B1, Date of Patent :Oct.29,2013 Licensed to (NuLogix and/or Prases Corp. and also Inter-Instituional agreement with Utah State University). S.Mukhopadhyay and S.S.Iyengar

  • Vir V. Phoha, S. S. Iyengar, and R. Kannan, "Method of allocation of Web pages using neural networks". *U.S. Patent No.7191178. Issued March 13, 2007. (Featured in the World's Best Technology Showcase, 2007, Arlington, TX)

  • Vir V. Phoha, S. S. Iyengar, and R. Kannan, Data Set Request Allocations to Computers. *U.S. Patent No.7730086. Issued June 1, 2010.

  • S.S. Iyengar, P.R.K. Prasad, and A.K. Kumar and others, "A pattern recognition device to indicate pressure in the eye due to Glaucoma by means of optical changes", 2012 (Published in the Miami Business Today). Won The Florida Information Technology Award (IT2). Gloabal International Application PCT/IN2012/000054 and U.S. Patent Application No.13138316 already filed for proposed device.

  • Madhusudhanan Balasubramanian, Juan Reynaud, Roger W. Beuerman, S. Sitharama Iyengar, "A Framework for detecting glaucomatous Progression in the Optic Nerve using Orthogonal Decomposition", U.S. Patent Application No.11716848

  • S. Mukhopadhyay and S.S. Iyengar, "System and Architecture for Robust Management of Resources in a Wide-area Network", Patent was filled on June 3rd, 2011, U.S. Application No. or PCT International Application No. 13153388. Licensed to (NuLogix and/or Prases Corp. and also Inter-Instituional agreement with Utah State University)