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Esfandiar Bandari

PhD Computer Science, MBA, See http://www.linkedin.com/in/ebandari for details.

Headline: Startup Member
Website: http://www.linkedin.com/in/ebandari
Skills: Business, Entrepreneurship, Investment, Leadership, Management, Marketing
Groups: BASES, Social e-challenge Competition 2009 [inactive]
Interested in: Finding team mates, Meeting new people, Professional opportunities, Recruiting for my startup
Schools: Carnegie Mellon University, Stanford University, University of California System - Berkeley

FULL BIO

PhD Computer Science, MBA,
See http://www.linkedin.com/in/ebandari for details.

WORK EXPERIENCE

Employer: I.M. Capital, London, UK and The Angels' Forum, Palo Alto, CA
Position: Director / Principal
Time period: January 2006 - Present
Description: Investment groups in seed and early stage companies.
• Evaluated and advised hundreds of European and Silicon Valley start-ups.
• Saved over $2 Million by stopping two flawed deals from going forward.
• Took direct role in helping portfolio companies on strategy – analyzing technology, products, markets, management team, revenue models, competition, and option/risk analysis.

Employer: University of Cambridge
Position: Strategy Business Consulting
Time period: January 2004 - December 2005
Description: Kodak’s Flexible Displays, Disruptive Applications and Routes to Market: Rescued R&D effort from termination. Kodak, European Research Laboratory, Harrow, UK.
• Deep competitive technical analysis, identifying and prioritizing 22 disruptive products.
• Developed strategies for monitizing top eight. Used in Kodak’s corporate strategic plan.
Business Case for Responsive Polymers: Feasibility study and business plan for Cambridge Chemical Engineering Department and Vivamer Inc.
• Analyzed legacy biotech projects. Redirected business focus on billion dollar consumer market in super-absorbable polymers. Business plan attracted multi-million GBP VC funding.
Strategic Growth Paths for YOMP: strategic analysis and business modelling for YOMP Ltd., a struggling consulting start up advising entrepreneurs through educational games.

Employer: NASA Ames Research Center, Moffett Field
Position: Projects
Time period: January 1998 - December 2004
Description: Research Institute for Advanced Computer Science (RIACS)
Participated in numerous successful projects and progressed through the ranks. Built strong strategic alliances (e.g. Jet Propulsion Lab (JPL), Stanford, U of Miami & Aeronautics Division). Member of computational sciences, space sciences and centre for bio-informatics.

Selected Projects
Mars Technology Program: Project manager at NASA Ames and the overall technical lead on a two year, multi-million dollar project with JPL on visual navigation for the Mars Rover.
• Completed the two year milestones in year one (50% savings).
• Developed novel visual odometry and planning algorithms for the Mars Rover project.
• Technical expert, evaluated projects from Ames, JPL and other NASA centres.
Machine Learning Group: Project co-lead for a new approach to non-linear prediction, learning and control based on Kalman Filters in Kernel Spaces (Support Vector Machines).
• Surpassed project’s technical goals, producing 33% savings in budget.
• Initiated a new effort in machine learning, clustering and optimization for funding.
Bayesian Super Resolution Team: Parachuted in to help a troubled project in 3D visualization.
• Identified problem areas and introduced missing critical technologies.
• Created new value proposition to get buy-in from NASA management.
Collective Intelligence Project: Worked on multi-agent distributed AI utilizing reinforcement learning, non-cooperative game theory, and statistical mechanics.
• Implemented concepts and showed applications to economics of small-world networks and trading systems. Discovered new properties. Joint paper in prestigious Phys. Rev. E.
Space Sciences Division: Lead research scientist at NASA Ames on Robotics Arm Camera (RAC) developed at Lunar and Planetary Laboratory for Mars missions 1998 and 2001.
• Developed proprietary methods, and worked with other NASA Centres.
• Advised USGS on the requirements for the new RAC camera.
Centre for Bio-Informatics – Virtual Collaborative Clinic (VCC): Collaborated with scientists from Stanford, Cleveland Clinic, and other medical centres on VCC’s nation-wide demo.
• Developed proprietary algorithms for analyzing dynamic ultrasounds and 3D MRI.
• Won 2nd prize in the NASA-wide Software of the Year competition.

Employer: MacDonald Dettwiller and Associates
Position: Research Scientist in R&D Division
Time period: January 1997 - December 1998
Description: Large multi-national Canadian company specializing in high technology.
Worked on numerous projects ranging from space and defence applications to forestry and bio-informatics.
• Delivered project to European Space Agency, 25% below budget and 20% ahead of schedule.
• Developed core analytical algorithms for a Biomedical Confocal Microscope for MIT.
• Won 2 year, $1 million project from the Canadian Space Agency.

EDUCATION

University: Carnegie Mellon University

University: University of California System - Berkeley
Degree: Engineering

University: Stanford University

PUBLICATIONS

Articles: • Esfandiar Bandari et al, "Improving Search Algorithms by Using Intelligent Coordinates", Physical Review E, 69, 017701, 2004
• Esfandiar Bandari et al, "Realtime Absolute Orientation with Outlier Rejection for Visual Odometry and Mesh Merging", British Machine Vision Symposium on Spatio-temporal Image Processing, March 2004.
• Esfandiar Bandari et al, “Vision Based Positioning and Terrain Mapping by Global Alignment”, IEEE Conference on Advanced Video and Signal Surveillance (AVSS-03), pages 305-312, July 2003.
• Esfandiar Bandari et al,, “Improving Simulated Annealing by Replacing its Variables with Game-Theoretic Utility Maximizers”, NASA Technical Report, NASA/TM-2001-210930
• Esfandiar Bandari et al, “Improving Simulated Annealing by Recasting it as a Non-Cooperative Game”, NASA Technical Report, NASA/TM-2001-210929
• Esfandiar Bandari et al, "Maximizing Science Returns from Future Mars Missions with Onboard Image Analyses", 31st Lunar and Planetary Science Conference, Houston, Texas, Mar 2000
• Esfandiar Bandari et al, "Autonomous Image Analysis for Future Mars Missions", paper # p11b-04, American Geophysical Union Fall Meeting, San Francisco, CA, Dec 1999
• Esfandiar Bandari et al, "Autonomous Onboard Science Image Analysis for Future Mars Rover Missions", 31st Annual Meeting of the Division of Planetary Sciences AAS, Padova, Italy, Oct 1999
• Esfandiar Bandari, "Segmentation and Classification of Multi and Hyper-Spectral Data", MacDonald Dettwiler and Associates Technical Report #RX-TN-50-8995, November 1997
• Esfandiar Bandari et al, “Co-operative Analysis of Multiple Frames by Visual Echoes", Proceedings of First IEEE International Conference on Image Processing, Austin, Texas, pages 766--770, November 1994.
• Esfandiar Bandari et al, “Visual Echo Registration of Magnetic Resonance Images”, AAAI Spring Symposium on Applications of Computer Vision in Medical Image Processing, Stanford University, pages 38--41, March 1994.
• Esfandiar Bandari et al, “Visual Echo Analysis”, Proceedings of Fourth International Conference on Computer Vision, Berlin, Germany, pages 220--225, May 1993.
• Esfandiar Bandari et al, “Multi-evidential Correlation and Visual Echo Analysis”, Technical Report 93-1, Computer Science Department, University of British Columbia, 1993.
• Esfandiar Bandari et al, “Detection and Estimation of Multiple Disparities by Multi-evidential Correlation”, Technical Report 93-38, Computer Science Department, University of British Columbia, 1993.
• Esfandiar Bandari et al, “Cepstral Methods in Computational Vision”, Proceedings of SPIE Conference on Non-linear Image Processing IV, vol. 1902, San Jose, California, pages 266--277, February 1993.
• Esfandiar Bandari et al, “Spatial-Quefrency Approach to Optical Echo Analysis”, Proceedings of IEEE Computer Vision and Pattern Recognition Conference, Champaign, Illinois, pages 850--852, June 1992.
• Esfandiar Bandari et al, “Cepstral Analysis of Optical Flow”, Technical Report 92-6, Computer Science Department, University of British Columbia, 1992.
Patents: • Ultrasound Segmentation and Echo-cardiogram Using Stochastic Relaxation (USRA & NASA patent, "Disclosure of Intent and Invention and New Technology", NASA Form 1679)
• Method and System for Generating Fully-textured 3-D Models. (US patent application # 09/356,855 – General Reality Corp)
• Method and System for Generating Fully-textured 3-D Models. (International patent # PCT/US99/16461 – General Reality Corp)
• Model and Apparatus for Generating a 3D Region from Surrounding Imagery (US patent application # 09/357,528 – General Reality Corp)

Esfandiar's Startups (1)

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  • Textonomy

    Textonomy is a project I am working on. It is based on a novel data mining and machine learning technique and a piece of technology that I developed while I was a scientist at NASA Ames. My first application will be to different vertical markets...

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  • Prospeqt

    Prospeqt: Making it easy for companies to find the right candidate

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