dr hab. Piotr Kucharski adiunkt

Wydział Matematyki, Informatyki i Mechaniki


Dyscyplina naukowa:

matematyka, nauki fizyczne

Zainteresowania badawcze:

I work at the intersection of mathematics, physics, and sometimes machine learning. My research focuses on using quantum field theory and string theory approach to study low-dimensional topology, especially knots and 3-manifolds. I'm especially interested in the knot-quiver correspondence, its physical and geometric interpretations, structures hidden underneath, and generalisations to 3-manifolds. Recently, I also use machine learning methods to study knots and quivers. If you have any questions, feel free to write me an email at piotr.kucharski@mimuw.edu.pl. If you want we can also arrange a meeting online and discuss!

description of research interests:

I work at the intersection of mathematics, physics, and sometimes machine learning. My research focuses on using quantum field theory and string theory approach to study low-dimensional topology, especially knots and 3-manifolds. I'm especially interested in the knot-quiver correspondence, its physical and geometric interpretations, structures hidden underneath, and generalisations to 3-manifolds. Recently, I also use machine learning methods to study knots and quivers. If you have any questions, feel free to write me an email at piotr.kucharski">mailto:piotr.kucharski@mimuw.edu.pl">piotr.kucharski@mimuw.edu.pl. If you want we can also arrange a meeting online and discuss!

Realizowane projekty:


  • Studies of the relation between 3d and 4d quivers using physics, topology and algebra; with

    • P. Longhi (Uppsala U.)

    • D. Noshchenko (Dublin Inst. of Advanced Studies)

    • S. Park (Harvard U.)

    • P. Sułkowski (U. of Warsaw)



  • Search for direct relation between knot diagrams and quivers; with

    • S. Chauhan (Uppsala U.)

    • D. Noshchenko (DIAS)

    • Ramadevi P. (Indian Inst. of Tech.)

    • V. Singh (New York U. Abu Dhabi)

    • M. Stosic (Technical U. of Lisbon)



  • Studies of quiver equivalences using machine learning methods; with

    • O. Al-Khazali (U. of Sharjah)

    • V. Jejjala (U. of Witwatersrand)

    • B. Lewandowski (U. of Warsaw)

    • P. Roy (U. of Witwatersrand)



  • Studies of knot-quiver correspondence using machine learning methods; with

    • O. Al-Khazali (U. of Sharjah)

    • P. Hervas (Technical U. of Madrid)

    • H. Larraguivel (Jagiellonian U.)

    • B. Lewandowski (U. of Warsaw)

    • P. Roy (U. of Witwatersrand)

    • T. Malinowski (U. of Warsaw)

    • D. Noshchenko (DIAS)

    • C. Perez (Hedelberg U.)

    • V. Singh (New York U. Abu Dhabi)



research projects implemented:


  • Studies of the relation between 3d and 4d quivers using physics, topology and algebra; with

    • P. Longhi (Uppsala U.)

    • D. Noshchenko (Dublin Inst. of Advanced Studies)

    • S. Park (Harvard U.)

    • P. Sułkowski (U. of Warsaw)



  • Search for direct relation between knot diagrams and quivers; with

    • S. Chauhan (Uppsala U.)

    • D. Noshchenko (DIAS)

    • Ramadevi P. (Indian Inst. of Tech.)

    • V. Singh (New York U. Abu Dhabi)

    • M. Stosic (Technical U. of Lisbon)



  • Studies of quiver equivalences using machine learning methods; with

    • O. Al-Khazali (U. of Sharjah)

    • V. Jejjala (U. of Witwatersrand)

    • B. Lewandowski (U. of Warsaw)

    • P. Roy (U. of Witwatersrand)



  • Studies of knot-quiver correspondence using machine learning methods; with

    • O. Al-Khazali (U. of Sharjah)

    • P. Hervas (Technical U. of Madrid)

    • H. Larraguivel (Jagiellonian U.)

    • B. Lewandowski (U. of Warsaw)

    • P. Roy (U. of Witwatersrand)

    • T. Malinowski (U. of Warsaw)

    • D. Noshchenko (DIAS)

    • C. Perez (Hedelberg U.)

    • V. Singh (New York U. Abu Dhabi)



USOSweb

Słowa kluczowe:

fizyka matematyczna, topologia kwantowa, teoria strun, algebra, geometria, kombinatoryka, uczenie maszynowe, sztuczna inteligencja,

Słowa kluczowe:

mathematical physics, quantum topology, string theory, algebra, geometry, combinatorics, machine learning, artificial intelligence

Kontakt:

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