1. 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

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. □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 Education & Qualifications * NDT: Also studied courses on Materials science, Engineering mechanics, Instrumentation etc.

4. □Research AssistantNov 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 Research & Teaching Experience

5. 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. Current Research Perfect reconstruction ? SignalSamples Kernel

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

7. Current Research SamplesPolygon After first pair of directional difference on samples After third pair After second pair Pair of directional differences Local reconstruction 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. □Teaching and Research AssistantOct 02 – Oct 03 Research & Teaching Experience 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. □University ResearcherJan 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 □LecturerApr 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 Research & Teaching Experience

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