?>
Applications open for all UG & PG Programme 2026 | Apply Now Applications open for all UG & PG Programme 2026 | Apply Now Applications open for all UG & PG Programme 2026 | Apply Now Applications open for all UG & PG Programme 2026 | Apply Now

Faculty

JKLU boasts a distinguished faculty body comprising experienced academics and industry professionals.
About

Dr. Anant Pratap Singh

Assistant Professor

Institute of Engineering & Technology

Biography

Dr. Anant Pratap Singh completed his doctoral degree from the Department of Mathematical Sciences, IIT (BHU). He has worked at IIT Delhi as a postdoctoral researcher in the area of Probabilistic Machine Learning. He holds his masters from NIT Jamshedpur and undergraduate from Ramjas College, University of Delhi.

He has received prestigious DST-Inspire fellowship from Govt. of India and holds a gold medal in M.Sc. He has given several research presentations both at international and national level. He has visited Shanghai University, Shanghai, China for research collaborations and invited talks. He has worked in collaboration with several foreign researchers and scientists. His current area of research lies in Numerical computation, Statistical inference, Stochastic PDEs, Fractional calculus, etc.

Education

Postdoctoral Researcher at IIT Delhi and working in the area of Scientific Machine Learning and Statistical inference.

  • Academic year 2019 – 2024

    Indian Institute of Technology (Banaras Hindu University), Varanasi, UP, India. PhD(Awarded), Mathematics, IIT(BHU) Department of Mathematical Sciences.

    Thesis Title: Analysis and Computational Algorithms for Stochastic and Deterministic Mathematical Models.

  • Academic year 2016 – 2018

    National Institute of Technology, Jamshedpur, India; Masters of Science in Mathematics; CGPA- 9.02 (Distinction).

    Ranked 1st in my M.Sc. programme (2016-18) in Department of Mathematics.

  • Academic year 2013 – 2016 Ramjas College, University of Delhi, India; Bachelors of Science (Honours) in Mathematics. Percentage- 86.33 (Distinction).
  • Academic year 2012—2013 Modern School, Noida, India; Intermediate (XII) (CBSE Board) in PCM; Percentage-93 (Distinction).
  • Academic year 2010—2011 Modern School, Noida, India; High School (X) (CBSE Board); CGPA-9.0 (Distinction).

  • Anant Pratap Singh, Priyanka Rajput, Rahul Kumar Maurya, Vineet Kumar Singh, A high order stable numerical algorithms for generalized time-fractional deterministic and stochastic telegraph models, published in Computational and Applied Mathematics, 2024 (Q2).
  • Eugene B. Postnikov, Anant Pratap Singh, Alexander V. Sychev, Anastasia I. Lavrovad, Vineet Kumar Singh, A stochastic model for the bacterial growth exhibiting staged growth, desynchronization, saturation and persistence, published in Mathematical Biosciences, 2024 (Q1) .
  • Rahul Kumar Maurya, Dongxia Li, Anant Pratap Singh, Vineet Kumar Singh, Numerical algorithm for a general fractional diffusion equation, published in Mathematics and Computers in Simulation, 2024 (Q1).
  • Anant Pratap Singh, Rahul Kumar Maurya, Vineet Kumar Singh, Analysis of a robust implicit scheme for space– time fractional stochastic nonlinear diffusion wave model, accepted in International Journal of Computer Mathematics, 2023 (Q2).
  • A.K. Prasad, Anant Pratap Singh, Sony Khatri, Duality for a class of second order symmetric nondifferentiable fractional variational problems, accepted in Yugoslavian J. of Operations Research 2020.

  • September 2019 – Till date: Senior Research Fellow, Indian Institute of Technology (Banaras Hindu University), Varanasi, UP, India.
  • August 2019 – August 2021: Junior Research Fellow, Indian Institute of Technology (Banaras Hindu University), Varanasi, UP, India.

  • SERB Prestigious ITS Award 2024Science and Engineering Research Board awarded the prestigious ITS Award for international travel support.
  • DST Inspire Fellowship 2019Department of Science and Technology awarded the prestigious DST Inspire Fellowship to pursue Ph.D. in India
  • 1st Rank Certificate 2019National Institute of Technology, Jamshedpur awarded the 1st rank certificate for securing top score in my M.Sc. programme in Mathematics.

  • Stable numerical algorithm for space-time fractional stochastic nonlinear diffusion wave model, 10th International Conference on Computational Methods in Applied Mathematics (CMAM-10), University of Bonn, Germany, June 2024.
  • High order approximation for space-time fractional nonlinear diffusion wave model with stochastic source term, Invited talk, Department of Mathematics, Shanghai University, Shanghai, China, May 2024.
  • An efficient computational algorithm based on implicit difference scheme for space-time fractional diffusion wave equations, 9th International Conference on Mathematics and Computing, Birla Institute of Technology Pilani, India, January 2023.
  • High order stable computational algorithm for space-time fractional stochastic nonlinear diffusion wave model, International Conference on Advancements in Mathematics, Thapar Institute of Engineering and Technology, Patiala, India, September 2023.
  • Attended “Workshop at IIT(ISM) Dhanbad, Non-linear Analysis and dynamics”.
  • Attended “Seminar at MIRANDA HOUSE, University of Delhi, Complex vs Real Analysis”.

  • Teaching and evaluating mathematics courses, including in: Differential equations, Numerical analysis, Engineering mathematics etc.
  • Served as the Training and Placement head for Masters Students in National Institute of Technology, Jamshedpur, India.

  • Intermediate knowledge of Python, MATLAB, C-programming, Java, Latex.
  • Strong Communication and Leadership skills.
  • Fluent in writing and speaking English.
whatsapp icon