Rohit Goswami

Senior Project Associate

Education / Work History

  • Senior Project Associate, IIT Kanpur (2019-present)
  • Project Associate, IIT Kanpur, (2018-2019)
  • B. Tech., HBTU Kanpur, (2014-2018)

Research Interests

  • Machine Learning
  • Structure Determination
  • Algorithmic approaches to computational complexity reduction

Other Duties

  • Site Admin

Things I do

  • I am an avid open source supporter (FOSS). I am rather active on Github.
  • Sites I manage actively can be verified on keybase

Other projects are not relevant to this site.

Publications

These include only those published in our lab.

  1. Space Filling Curves: Heuristics For Semi Classical Lasing Computations. R. Goswami, A. Goswami, and D. Goswami, in 2019 URSI Asia-Pacific Radio Science Conference (AP-RASC) (IEEE, 2019), pp. 1–4 [Abstract] [PDF] [BibTeX]

    Abstract: For semi classical lasing, the FDTD (finite difference time domain) formulation including nonlinearities is often used. We determine the computational efficiency of such schemes quantitatively and present a hueristic based on space filling curves to minimize complexity. The sparse matrix kernel is shown to be optimized by the utilization of Bi-directional Incremental Compressed Row Storage (BICRS). Extensions to high performance clusters and parallelization are also derived.

     BibTeX: @inproceedings{goswamiSpaceFillingCurves2019,
      langid = {english},
      location = {{New Delhi, India}},
      title = {Space {{Filling Curves}}: {{Heuristics For Semi Classical Lasing Computations}}},
      isbn = {978-90-825987-5-9},
      url = {https://my.pcloud.com/publink/show?code=XZ8vxr7ZHFxXSXuD2J4ntMcQoyPGXFodmegy},
      doi = {10/gf5mqk},
      shorttitle = {Space {{Filling Curves}}},
      eventtitle = {2019 {{URSI Asia}}-{{Pacific Radio Science Conference}} ({{AP}}-{{RASC}})},
      booktitle = {2019 {{URSI Asia}}-{{Pacific Radio Science Conference}} ({{AP}}-{{RASC}})},
      publisher = {{IEEE}},
      urldate = {2019-08-01},
      date = {2019-03},
      pages = {1-4},
      author = {Goswami, Rohit and Goswami, Amrita and Goswami, Debabrata}
    }
    
  2. Quantum Distributed Computing with Shaped Laser Pulses. R. Goswami and D. Goswami, in 13th International Conference on Fiber Optics and Photonics (OSA, 2016), p. W4C.3 [Abstract] [BibTeX]

    Abstract: Shaped laser pulses can control decoherence under quantum adiabatic method of logic operations to result in a possible scalable quantum computer by distributing the computing load on a set of optically adiabatic quantum computing nodes.

     BibTeX: @inproceedings{goswamiQuantumDistributedComputing2016,
      langid = {english},
      location = {{Kanpur}},
      title = {Quantum {{Distributed Computing}} with {{Shaped Laser Pulses}}},
      isbn = {978-1-943580-22-4},
      doi = {10/gf5mrr},
      eventtitle = {International {{Conference}} on {{Fibre Optics}} and {{Photonics}}},
      booktitle = {13th {{International Conference}} on {{Fiber Optics}} and {{Photonics}}},
      publisher = {{OSA}},
      date = {2016},
      pages = {W4C.3},
      author = {Goswami, Rohit and Goswami, Debabrata}
    }
    
  3. Space Filling Curves: Heuristics For Semi Classical Lasing Computations. R. Goswami, A. Goswami, and D. Goswami, in 2019 URSI Asia-Pacific Radio Science Conference (AP-RASC) (IEEE, 2019), pp. 1–4 [Abstract] [PDF] [BibTeX]

    Abstract: For semi classical lasing, the FDTD (finite difference time domain) formulation including nonlinearities is often used. We determine the computational efficiency of such schemes quantitatively and present a hueristic based on space filling curves to minimize complexity. The sparse matrix kernel is shown to be optimized by the utilization of Bi-directional Incremental Compressed Row Storage (BICRS). Extensions to high performance clusters and parallelization are also derived.

     BibTeX: @inproceedings{goswamiSpaceFillingCurves2020,
      langid = {english},
      location = {{New Delhi, India}},
      title = {Space {{Filling Curves}}: {{Heuristics For Semi Classical Lasing Computations}}},
      isbn = {978-90-825987-5-9},
      url = {https://my.pcloud.com/publink/show?code=XZ8vxr7ZHFxXSXuD2J4ntMcQoyPGXFodmegy},
      doi = {10/gf5mqk},
      shorttitle = {Space {{Filling Curves}}},
      eventtitle = {2019 {{URSI Asia}}-{{Pacific Radio Science Conference}} ({{AP}}-{{RASC}})},
      booktitle = {2019 {{URSI Asia}}-{{Pacific Radio Science Conference}} ({{AP}}-{{RASC}})},
      publisher = {{IEEE}},
      urldate = {2019-08-01},
      date = {2019-03},
      pages = {1-4},
      author = {Goswami, Rohit and Goswami, Amrita and Goswami, Debabrata}
    }
    
  4. Quantum Distributed Computing with Shaped Laser Pulses. R. Goswami and D. Goswami, in 13th International Conference on Fiber Optics and Photonics (OSA, 2016), p. W4C.3 [Abstract] [BibTeX]

    Abstract: Shaped laser pulses can control decoherence under quantum adiabatic method of logic operations to result in a possible scalable quantum computer by distributing the computing load on a set of optically adiabatic quantum computing nodes.

     BibTeX: @inproceedings{goswamiQuantumDistributedComputing2017,
      langid = {english},
      location = {{Kanpur}},
      title = {Quantum {{Distributed Computing}} with {{Shaped Laser Pulses}}},
      isbn = {978-1-943580-22-4},
      doi = {10/gf5mrr},
      eventtitle = {International {{Conference}} on {{Fibre Optics}} and {{Photonics}}},
      booktitle = {13th {{International Conference}} on {{Fiber Optics}} and {{Photonics}}},
      publisher = {{OSA}},
      date = {2016},
      pages = {W4C.3},
      author = {Goswami, Rohit and Goswami, Debabrata}
    }