BIMSA > Shailesh Lal
Assistant Professor Shailesh Lal

Group: Quantum Fields and Strings

Office: A3-3a-305

Email: shaileshlal@bimsa.cn

Research Field: Machine Learning and Neural Networks, Theory & applications to Physics

CV

Biography

Dr Shailesh Lal received his PhD from the Harish-Chandra Research Institute. His research interests are applications of machine learning to string theory and mathematical physics, black holes in string theory and higher-spin holography.

Research Interest

  • Machine Learning and Neural Networks
  • Theory & applications to Physics
  • AdS/CFT duality
  • Conformal Bootstrap
  • String Theory
  • Black Holes
  • Heat Kernel Methods

Education Experience

  • 2006 - 2013      Harish-Chandra Research Institute & Homi Bhabha National Institute      Physics      Doctor      (Supervisor: Rajesh Gopakumar)
  • 2004 - 2006      University of Delhi      Physics      Master
  • 2001 - 2004      University of Delhi      Physics      Bachelor

Work Experience

  • 2022 -      Beijing Institute of Mathematical Sciences and Applications      Assistant Research Fellow
  • 2022 - 2022      International Centre for Theoretical Sciences, Tata Institute of Fundamental Research      Visiting Post-doctoral Fellow
  • 2021 - 2021      Kenkou GmbH      Data Scientist (Research)
  • 2017 - 2020      Faculdade de Ciencias, Universidade do Porto      Post-Doctoral Fellow
  • 2015 - 2017      LPTHE, CNRS & Universite Sorbonne      Postdoctorant
  • 2013 - 2015      Seoul National University      Post-Doctoral Fellow
  • 2012 - 2013      International Centre for Theoretical Sciences, Tata Institute of Fundamental Research      Post-Doctoral Fellow

Publication

  • [1] Shailesh Lal, Suvajit Majumder, and Evgeny Sobko, The R-mAtrIx Net, Machine Learning: Science and Technology, 5(2024), 3, 035003
  • [2] Yang-Hui He, Shailesh Lal, M. Zaid Zaz, The world in a grain of sand: Condensing the string vacuum degeneracy, Physical Letters B, 849(2024), 138461
  • [3] Heng-Yu Chen, Yang-Hui He, Shailesh Lal, M. Zaid Zaz, Machine Learning Etudes in Conformal Field Theories, International Journal of Data Science in the Mathematical Sciences, 1(2023), 01, 71-104
  • [4] Shailesh Lal, Machine Learning Symmetry, Nankai Symposium on Mathematical Dialogues(2022)
  • [5] Heng-Yu Chen, Yang-Hui He, Shailesh Lal, and Suvajit Majumder, Machine learning Lie structures & applications to physics, Physics Letters B, 817(2021), 136297
  • [6] Nick Halmagyi, and Shailesh Lal, Mixed Moments for the Product of Ginibre Matrices, arXiv:2007.10181(2020)
  • [7] S Lal, On gluing CFT correlators to higher-spin amplitudes in AdS, arXiv preprint arXiv:2009.10110 (2020)
  • [8] S Lal, P Narayan, On exponentially suppressed corrections to BMPV black hole entropy, Journal of High Energy Physics, 2018(5), 1-28 (2018)
  • [9] T Basile, E Joung, S Lal, W Li, Character integral representation of zeta function in AdSd+ 1. Part I. Derivation of the general formula, Journal Of High Energy Physics, 2018(10), 1-35 (2018)
  • [10] T Basile, E Joung, S Lal, W Li, Character integral representation of zeta function in AdSd+ 1. Part II. Application to partially-massless higher-spin gravities, Journal of High Energy Physics, 2018(7), 1-45 (2018)
  • [11] N Halmagyi, S Lal, On the on-shell: the action of AdS4 black holes, Journal of High Energy Physics, 2018(3), 1-18 (2018)
  • [12] I Jeon, S Lal, Logarithmic corrections to entropy of magnetically charged AdS4 black holes, Physics Letters B, 774, 41-45 (2017)
  • [13] JB Bae, E Joung, S Lal, One-loop free energy of tensionless type IIB string in AdS5× S5, Journal of High Energy Physics, 2017(6), 1-16 (2017)
  • [14] JB Bae, E Joung, S Lal, Exploring free matrix CFT holographies at one-loop, Universe, 3(4) (2017)
  • [15] JB Bae, E Joung, S Lal, One-loop test of free SU (N) adjoint model holography, Journal of High Energy Physics, 2016(4), 1-69 (2016)
  • [16] JB Bae, E Joung, S Lal, On the holography of free Yang-Mills, Journal of High Energy Physics, 2016(10), 1-46 (2016)
  • [17] JB Bae, E Joung, S Lal, A note on vectorial AdS5/CFT4 duality for spin-j boundary theory, Journal of High Energy Physics, 2016(12), 1-28 (2016)
  • [18] RK Gupta, S Lal, S Thakur, Logarithmic corrections to extremal black hole entropy in$ \mathcal{N}=2 $, 4 and 8 supergravity, Journal of High Energy Physics, 2014(11), 1-41 (2014)
  • [19] A Chowdhury, RK Gupta, S Lal, M Shyani, S Thakur, Logarithmic corrections to twisted indices from the quantum entropy function, Journal of High Energy Physics, 2014(11), 1-22 (2014)
  • [20] RK Gupta, S Lal, S Thakur, Heat kernels on the AdS2 cone and logarithmic corrections to extremal black hole entropy, Journal of High Energy Physics, 2014(3), 1-40 (2014)
  • [21] A Chowdhury, S Lal, A Saha, A Sen, Black hole bound state metamorphosis, Journal of High Energy Physics, 2013(5), 1-25 (2013)
  • [22] S Lal, B Sahoo, Holographic Renormalisation for the Spin-3 Theory and the (A) dS3/CFT2 correspondence, Journal of High Energy Physics, 2013(1), 1-22 (2013)
  • [23] S Lal, CFT (4) partition functions and the heat kernel on AdS (5), Physics Letters B 727 (1-3), 325-329 (2013)
  • [24] RK Gupta, S Lal, Partition functions for higher-spin theories in AdS, Journal of High Energy Physics, 2012(7), 1-17 (2012)
  • [25] S Lal, Higher-Spin Theories and the AdS/CFT Correspondence, Ph. D. thesis. HBNI, Mumbai (2012)
  • [26] A Bagchi, S Lal, A Saha, B Sahoo, Topologically massive higher spin gravity, Journal of High Energy Physics, 2011(10), 1-28 (2011)
  • [27] R Gopakumar, RK Gupta, S Lal, The heat kernel on AdS, Journal of High Energy Physics, 11, 1-23 (2011)
  • [28] S Lal, S Raju, Next-to-simplest quantum field theories, Physical Review D—Particles, Fields, Gravitation, and Cosmology, 81(10) (2010)
  • [29] S Lal, S Raju, Rational terms in theories with matter, Journal of High Energy Physics, 2010(8), 1-15 (2010)

 

Update Time: 2025-08-13 17:00:08