Nikunj Aggarwal

Nikunj Aggarwal

New York, New York, United States
731 followers 500+ connections

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Rippling

Activity

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Experience

  • Rippling Graphic

    Rippling

    New York, New York, United States

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    Greater New York City Area

  • Company ghost image

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      Greater New York City Area

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      San Francisco Bay Area

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    Greater Seattle Area

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    Madison, Wisconsin Area

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Education

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    (Corporate Sponsor: Uber)
    8 module program with Frances Frei and HBS encompassing:

    Leadership
    1) Building & Rebuilding Trust (Jan Carlzon case study)
    2) The Wisdom of Teams (Everest Simulation)
    3) Leadership Lessons from Ancient Rome
    4) Leading @Uber (Business & Politics)

    Strategy
    1) Differentiation (Commerce Bank case study)
    2) Excellence by Design (Tessei and Oberon)
    3) The service-profit chain (BBBK case study)
    4) Strategy @Uber (Brighter Smiles case…

    (Corporate Sponsor: Uber)
    8 module program with Frances Frei and HBS encompassing:

    Leadership
    1) Building & Rebuilding Trust (Jan Carlzon case study)
    2) The Wisdom of Teams (Everest Simulation)
    3) Leadership Lessons from Ancient Rome
    4) Leading @Uber (Business & Politics)

    Strategy
    1) Differentiation (Commerce Bank case study)
    2) Excellence by Design (Tessei and Oberon)
    3) The service-profit chain (BBBK case study)
    4) Strategy @Uber (Brighter Smiles case study)

Volunteer Experience

  • Volunteer

    Teach for India

    - 1 year

    Education

    Teach For India is a nationwide movement of outstanding college graduates and young professionals who will commit their time to teach in under resourced schools and who will become lifelong leaders working from within various sectors towards the pursuit of equity in education

Publications

  • Cross-Layer User Pairing for CSM in IEEE 802.16 Networks

    IEEE Communications Letters Journal

    A novel method to solve the pairing problem for Collaborative Spatial Multiplexing (CSM) in IEEE 802.16 networks is proposed in this letter. This method profiles the traffic generated by mobile stations according to their QoS requirements. User pairs with similar traffic profiles and physical layer compatibility are chosen. We show how the pairing problem can be reduced to a minimum weight perfect matching problem which can be polynomially solved using Edmond's algorithm.

    Other authors
    • C. Siva Ram Murthy
    See publication

Patents

Honors & Awards

  • Dean's Merit Award

    IIT Madras

    Top 0.1% in IIT-JEE 2007

Languages

  • English

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  • Hindi

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