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Pancham Shukla RA and PhD student Communications and Signal Processing Group

An Attempt to Extrapolate as a Research Fellow in Data Fusion Industrial multi-partner collaborative project - TATEM. Pancham Shukla RA and PhD student Communications and Signal Processing Group Imperial College London. ADSIP, UCLAN, Preston, 24 July 2006. Attributes.

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Pancham Shukla RA and PhD student Communications and Signal Processing Group

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  1. An Attempt to Extrapolate as a Research Fellow in Data FusionIndustrial multi-partner collaborative project - TATEM Pancham Shukla RA and PhD student Communications and Signal Processing Group Imperial College London ADSIP, UCLAN, Preston, 24 July 2006

  2. Attributes • Education & Qualifications • Research & Teaching Experience - Signal/image processing research - Mathematical modelling, Scientific computing - Technical communication - Teaching, Project supervision, Marking - Admin. responsibilities, Memberships, Team work etc. • Conclusion - A fusion perspective

  3. Education & Qualifications • PhD (Electrical & Electronic) Will submit thesis in Oct 2006 Imperial College London Sampling schemes for multidimensional nonbandlimited signals with applications in super-resolution and photogrammetry • MPhil (Electronic & Electrical) Oct 2003 University of Strathclyde, Glasgow Complex wavelet transforms and their applications (Restoration and Feature extraction) • ME (Electronic & Computer) Aug 2001 Indian Space Research Organization & Sardar Patel University, Gujarat, India Signal Processing for air-borne synthetic aperture radar (ASAR) (Microwave remote sensing: Point target simulations, DSP implementation) • BE (Electronic)* Oct 1995 Sardar Patel University, Gujarat, India Project: Micro-controller (8751) based check-weighing scale * NDT: Also studied courses on Materials science, Engineering mechanics, Instrumentation etc.

  4. Research & Teaching Experience • Research Assistant Nov 03 – Present (EPSRC/DTC funded) Research: - Novel signal approximation methods using wavelet theory - Sampling schemes for multidimensional nonbandlimited signals (FRI) using Nonlinear estimation, Inverse systems, Lattice theory, and Radon transform - Algorithms for Shape reconstruction, Feature extraction, Super-resolution - Multi-camera system (Motion estimation and Object segmentation) - Publication, Paper review (e.g. ICIP05, ICIP06) - Student member of IEEE, IET Teaching: -BCs/Msc Project supervision - Study group leader for UG course on communication systems - Paper correction - Group seminar scheduling

  5. Signal Samples Kernel Perfect reconstruction ? Current Research Sampling and perfect reconstruction of signals with Finite Rate of Innovation (FRI) [ Vetterli et al 02] Signals: Bilevel-convex polygons, distribution of Diracs, 2-D polynomials with polygonal boundaries, quadrature domains (circles, ellipses, cardioids etc). Sampling kernels: Any function that reproduce polynomials (B-splines, and scaling functions from wavelet theory). Reconstruction: Annihilating fitter method (Prony’s method), Complex-moments, Lattice theory (directional derivatives), Radon transform.

  6. B-spline of degree 3 Polynomial of degree 1 along x Polynomial of degree 0 Polynomial of degree 1 along y Polygonal lines Polygons Samples Circle Reconstructed corner points (marked with +) Complex-moments and annihilating filter method Current Research Complex-moments

  7. Polygon Samples Local reconstruction Pair of directional differences After first pair of directional difference on samples After third pair After second pair Current Research Lattice theory (Directional derivatives and differences) Radon transform

  8. Current Research Multi-camera system (18 synchronized firewire cameras) Multi-view image analysis: Motion estimation, Object segmentation etc.

  9. Research & Teaching Experience • Teaching and Research Assistant Oct 02 – Oct 03 Research: -Wavelets and Complex wavelets for Feature detection, Signal/image enhancement, Multimodal fusion, and Audio restoration. - Research proposal writing. Teaching: - Module leader for signal processing tutorials and laboratory sessions, - MSc project supervision, Marking

  10. Research & Teaching Experience • University Researcher Jan 01 – Aug 01 Ahmedabad, India Radar signal processing for ASAR microwave remote sensing: point target simulation algorithms in Matlab, real-time DSP implementation with ADSP 21020 • Lecturer Apr 96 – Oct 02 GCET, BVM, India Research: - Student projects - Visit/training at national institutes (ISRO, PRL, IPR, IIT etc) Teaching: - Undergraduate and postgraduate teaching, Examiner - Project supervision, Laboratory development - Course development, Member of board of studies - Workshops, Refreshers courses - College magazine Admin: Time table committee, Credit system, Industrial placement Memberships: IEEE student branch coordinator, member of ISTE, IETE, CSI

  11. Trained signal/image processing researcher Proj. Mgmt. Skills Personal Motivation Admin. Fourier Time Fusion Team Shapes Technical writing Fuzzy Level: Low, intermediate, high. Paper review Computing Statistics Domain: Temporal, spatial, transform, multimodal. ? NDT Wavelets Teaching Presentation Features Decision: Voting, Neural, Bayesian, Fuzzy. Conclusion: A Fusion Perspective Eager to learn new things Attribute assimilation Data fusion researcher ? Thank you

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