Dr. Sarosh Quraishi

Angestellt, Machine learning specialist, Intel Deutschland GmbH

Munich, Deutschland

Fähigkeiten und Kenntnisse

deep learning
Machine learning
Algorithms
signal processing
Python programming
Matlab programming
Linear Algebra

Werdegang

Berufserfahrung von Sarosh Quraishi

  • Bis heute 7 Jahre und 7 Monate, seit Nov. 2016

    Machine learning specialist

    Intel Deutschland GmbH
  • 9 Monate, Jan. 2016 - Sep. 2016

    Principal Research Engineer

    semdo | DISDAR GmbH

  • 3 Jahre und 7 Monate, Okt. 2011 - Apr. 2015

    Wissenschaftlicher Angestellter Numerische Mathematik

    TU Berlin

    Working on brake NVH problems in collaboration with Opel and Audi by developing model reduction algorithm for large scale simulations and parametric studies.

Ausbildung von Sarosh Quraishi

  • 3 Jahre und 4 Monate, Juli 2008 - Okt. 2011

    Computational mechanics

    Indian Institute of Technology

    wavelets, signal processing, numerical analysis, finite element method

  • 11 Monate, Apr. 2005 - Feb. 2006

    Computational Materials Science

    University of Wisconsin at Madison (USA)

    computational materials science (large scale simulations for designing ductile ceramics by nanostructuring): Courses: statistical mechanics, atomistic and electronic structure simulations

  • 2 Jahre und 8 Monate, Aug. 2002 - März 2005

    Mechanical Engg

    Louisiana State University

    Machine design, finite element analysis, solid mechanics, dynamics, vibration, system dynamics, materials science, heat transfer, damage mechanics of composites, advance experimental methods, bearing design and lubrication, defect diffusion and transformation in solids, etc

Sprachen

  • Englisch

    Fließend

  • Deutsch

    Fließend

Interessen

Reinforcement learning
Machine Learning (classical and deep learning)
Applications of Machine learning in complex systems
Research

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