George Kamberov: Research Projects
  1. Vision and Visualization: sensor data; the mobile network

     
    • Summary: The overarching goal is to develop an interactive immersive environment for monitoring, video surveillance, control, and simulation of a network of wireless agents deployed in an urban area and to integrate the environment with the WiNSeC Testbed at Stevens.
    • Funding: WiNSeC, Picatinny, US Army, March 2002-August 2004
    • People: Y.Yukota, A. Jain, S. Goda, K. Chintalapati, J. Oliensis (2004), E. Angeloupolou, G. Kamberov(PI)
     

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  2. Real-Time Geographic Visualization for the  Mobile Networked Multiple Input Multiple Output (MNM) Integrated Test Environment (MITE)

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    • Summary: Develop real-time methods for mobile network  visualization, and implement and deploy a real-time geographic visualization GUI (RTGV) for the MNM Integrated Test Environment at the Lakehurst naval airfield. The RTGV supports on-the fly mobile network and environment data collection, tracking and display of the mobile agents' positions in the field, drill-down functionalities to show the network links status and  connections properties, and real-time rendering and interaction with large scenes involving geo-referenced 3D terrain models of the testing area.
    • Funding: Lucent, DARPA,  March 2004 - April 2005
    • People:  A. Jain, R. Bader, A. Corrighan , B. Luczynsky, G. Kamberov (PI)
     
     
  3. Video Surveillance and Visualization Suite component of the Secure Infrastructure Technology Laboratory at Stevens (SINTEL)








     
    •   Summary: Build infrastructure and develop methods for video-based surveillance of the SINTEL test area and the surrounding eight miles radius sector of the Hudson river. The two principal objectives are: (i) to support automatic correlation of the acoustic noise with sources, locations, and behavior; (ii) develop automatic video-based methods to identify and track aerial and surface vessels.
    • Funding: ONR, August 2005 - June 2009
    • People:  R.Bader, B.Luczynsky, I. Meraly, M. Powers, R. Stolkin, G. Kamberov (PI)
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  4. Video-acoustic-seismic sensor fusion in an urban environment

     

  5. Video-based surveillance and forensics
    • Summary: This is a large project whose main research topics fall in two main groups: (i) Robust real-time surveillance and scene analysis based on new methods for object classification, identification of scene changes and anomalies from low grade video, rapid terrain acquisition and GPS-free geolocation. (ii) Forensic analysis of video recordings and creation and maintenance of reference data bases.
    • Corporate Funding, Period: August 2006- April 2009.
    • People:  TBA, G. Kamberov (PI)

     

  6. Manifold learning and scene segmentation from unorganized 3D point clouds








     
    • Summary: This is a long term project - we are developing a novel automatic point-based approach for assigning topology and for defining and computing surface geometry from unorganized 3D point clouds obtained from 3D scenes. The methods work on noisy data from scenes involving multiple objects, partial views, surfaces with boundary points, and tangent points.  The topology is based on a implicit estimate of a surface distance and is used to segment the 3D point cloud into manifold components. To achieve robustness and speed the topology and geometry are extracted without curve and surface reconstruction.
    • Funding: ARDEC US Army, WiNSeC PicatinnyUS Army, NSF pending. November 2000 -
    • People: A. Jain, G. Kamberova, G. Kamberov (PI)
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  7. Modeling and particle-in-cell (PIC) simulation of ELM-produced particle and energy pulses and their effect on the SOL in TOKAMAKs .
    • Summary: This is an international collaboration with a number of Bulgarian mathematicians and physicists.  We are developing phenomenological models and simulation code for the outward flow of relativistic particles propagating from the separatrix to the divertor target, and for the inward flow of impurities in the SOL. These models will be validated using complex diagnostics from different regimes of JET operations. They are needed for more realistic simulations of fuel plasma in ITER - like runs with JET.  The new PIC code is used to perform extensive simulations of full discharge of plasma. The code incorporates a novel approach to Monte Carlo simulation of alpha particle collisions, processes with relativistic electrons, and key collisions of impurities (e.g. ionization, recombination, fragmentation).
    • Funding: EURATOM Key Action Controlled Thermo-Nuclear Fusion, ITM PROJECT 3 campaigns C15-C17 JET work program, the European Union, Bulgarian Ministry of Education and Science. September 2001-
    • People: Bulgaria: T. Nikolov, D.Vasileva, P. Marinov, V. Hristov, N. Manev, P. Godev, L. Popova (PI); USA: G. Kamberov

  8. Solutions of the Dirac Equation on Higher Genus Surfaces
    • Summary: We will study solutions of the Dirac equation for spinor transforms. These solutions are used to construct immersed surfaces in R3 with prescribed properties by reducing the geometric constructions to analyzing first order linear systems of partial differential equations. In particular, we will investigate the construction of Bonnet surfaces and conformal deformations of closed surfaces of genus one. The work on Bonnet surfaces is part of an ongoing program on the Bonnet conjecture. The deformations of tori will be studied in context of human gait analysis.
    • Funding: International research development grants from Stevens and the German Government, August 2006-February 2007.  
    • People: C. Moller (Germany) and G. Kamberov (PI)

  9. Flexible mobile platforms for continuous range and imagery collection
    • Summary: This project will acquire a state-of-the-art, custom sensor suite, the 3D Content Digitization Suite (3DCDS), to support research and performance evaluation of computer vision and robotics algorithms in challenging real-world, outdoors, dynamic scenes. The project will result in novel methods for   2D-3D fusion for real-time geometry  processing; large-scale scene understanding and hierarchical semantic context inference.
    • Funding: National Science Foundation, August 2009-July 2012.  
    • People: P. Mordohai, G. Kamberova, J. Oliensis, (Co-Pis) G. Kamberov (PI)

 

 

 

 

 

       

Last Update 09/26/09


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