Assoc. Prof. Dr. Mehakpreet Singh | Computational Mathematics | Best Researcher Award

Associate Professor at University of Limerick, Ireland

Assoc. Prof. Dr. Mehakpreet Singh is a distinguished researcher in Applied Mathematics, currently serving as an Associate Professor at the University of Limerick, Ireland. With a Ph.D. from IIT Kharagpur, his expertise spans population balance modeling, computational fluid dynamics, and kinetic models. He has authored 70 research articles, including 37 as the first author and 35 as a corresponding author, with an H-index of 25 and 1366 citations, reflecting his academic impact. A recipient of the prestigious Marie Curie Individual Fellowship, he has collaborated with leading industry partners such as Johnson & Johnson and Pfizer. His research contributions extend to high-impact journals like Physics of Fluids and Kinetic and Related Models. Beyond research, he has played a vital role in mentoring students and teaching advanced mathematics courses. His global research experience, strong publication record, and industrial collaborations position him as a leader in applied mathematics and mathematical physics.

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Education

Assoc. Prof. Dr. Mehakpreet Singh holds a Ph.D. in Applied Mathematics from the Indian Institute of Technology (IIT) Kharagpur, India (2009-2015), where he focused on forward and inverse problems in population balances. His doctoral research resulted in six publications, five as the first author. His master’s degree in Applied Mathematics (2006-2008) was earned from Guru Nanak Dev University, India, following a bachelor’s degree in Mathematics, Physics, and Chemistry (2003-2006) from Khalsa College, Amritsar, India. His academic journey has been defined by rigorous mathematical training, leading to expertise in computational modeling and applied mathematics. His Ph.D. thesis was later published as a book, reflecting its significance in the field. His diverse academic background has equipped him with advanced mathematical and computational skills, allowing him to bridge the gap between mathematical theories and real-world applications, making substantial contributions to interdisciplinary research areas.

Professional Experience

Dr. Mehakpreet Singh’s professional journey showcases an impressive blend of academic research and industry collaboration. He is currently an Associate Professor at the University of Limerick, Ireland (June 2024 – present), following a tenure as an Assistant Professor (June 2022 – June 2024). Prior to this, he was a Marie Curie Individual Fellow (2019-2021) at the Bernal Institute, UL, conducting groundbreaking research in mathematical modeling. His industrial collaborations include projects with Johnson & Johnson and Pfizer, during his postdoctoral fellowship at Ghent University, Belgium (2016-2017). Additionally, he has worked in various research roles at UL and the Bernal Institute, contributing significantly to mathematical modeling in chemical and pharmaceutical sciences. His teaching experience spans undergraduate and postgraduate courses in applied and computational mathematics, strengthening students’ analytical and problem-solving skills. His diverse experience across academic and industrial settings reflects his ability to translate mathematical concepts into practical applications.

Research Interest

Dr. Mehakpreet Singh’s research interests lie at the intersection of applied mathematics, computational modeling, and mathematical physics. His work focuses on population balance modeling, computational fluid dynamics, kinetic models, and nonlinear dynamics, with applications in chemical engineering, biophysics, and optical systems. He has a strong inclination toward mathematical solutions for industrial challenges, as seen in his collaborations with global pharmaceutical companies. His expertise in numerical methods and analytical techniques has led to significant contributions to high-impact journals such as Physics of Fluids and Kinetic and Related Models. His research also extends to inverse problems, fragmentation dynamics, and mathematical modeling of complex systems, making him a key contributor to cutting-edge advancements in applied mathematics. His ability to integrate theoretical and computational approaches allows him to develop innovative solutions with wide-ranging scientific and industrial applications.

Awards and Honors

Dr. Mehakpreet Singh’s achievements are recognized through several prestigious awards and honors. He was awarded the Marie Curie Individual Fellowship (2019-2021), a highly competitive European research grant, which supported his advanced research in computational and applied mathematics. His research contributions have earned him international recognition, with over 70 published articles, 37 as the first author, and 35 as the corresponding author, accumulating 1366 citations and an H-index of 25. His Ph.D. thesis was published as a book on Amazon, further cementing his scholarly impact. He has also been actively involved in mentoring Ph.D. students and leading interdisciplinary research teams. His research in mathematical modeling has led to breakthroughs in chemical and biological systems, with strong industrial applications, further highlighting his contributions to academia and industry. His growing reputation as a researcher continues to influence the fields of applied mathematics and computational modeling.

Conclusion

Assoc. Prof. Dr. Mehakpreet Singh is an accomplished researcher whose contributions to applied mathematics, computational modeling, and mathematical physics have earned him global recognition. His strong publication record, industrial collaborations, and academic leadership position him as a leading expert in his field. With a career spanning mathematical theory, industrial applications, and innovative research, he has successfully bridged the gap between academia and real-world problem-solving. His expertise in population balance models, fluid dynamics, and kinetic equations continues to shape the landscape of mathematical and engineering sciences. As an educator, he is committed to mentoring the next generation of mathematicians and engineers, ensuring that his research has a lasting impact. With an impressive blend of theoretical knowledge, computational skills, and industrial experience, Dr. Singh is a strong candidate for prestigious research awards, recognizing his outstanding contributions to the scientific community.

Publications Top Noted

  • Title: Coupled approach and its convergence analysis for aggregation and breakage models: Study of extended temporal behaviour
    Authors: S. Yadav, A. Das, S. Singh, S. Tomar, R. Singh, M. Singh
    Year: 2024
    Citations: 6
    Source: Powder Technology 439, 119714

  • Title: Advanced numerical scheme and its convergence analysis for a class of two-point singular boundary value problems
    Authors: N. Sriwastava, A.K. Barnwal, H. Ramos, R.P. Agarwal, M. Singh
    Year: 2023
    Citations: 6
    Source: Mathematics and Computers in Simulation 216, 30-48

  • Title: Two moments preserving sectional approach for an enzymatic coagulation equation
    Authors: Z. Ansari, M. Rae, M. Singh
    Year: 2024
    Citations: 5
    Source: Physics of Fluids 36 (6), 067112 (1-15)

  • Title: An efficient technique based on Green’s function for solving two-point boundary value problems and its convergence analysis
    Authors: S. Tomar, S. Dhama, H. Ramos, M. Singh
    Year: 2023
    Citations: 4
    Source: Mathematics and Computers in Simulation 210, 408-423

  • Title: A note on the volume conserving solution to simultaneous aggregation and collisional breakage equation
    Authors: F.W.V. Kharchandy, A. Das, V. Thota, J. Saha, M. Singh
    Year: 2023
    Citations: 4
    Source: Axioms 12 (2), 181 (1-10)

  • Title: Rate of convergence of two moments consistent finite volume scheme for non-classical divergence coagulation equation
    Authors: M. Singh
    Year: 2023
    Citations: 4
    Source: Applied Numerical Mathematics 187, 120-137

  • Title: Bernstein operational matrix of differentiation and collocation approach for a class of three-point singular BVPs: error estimate and convergence analysis
    Authors: N. Sriwastava, A.K. Barnwal, A.W. Wazwaz, M. Singh
    Year: 2023
    Citations: 3
    Source: Opuscula Mathematica 43 (4), 575-601

  • Title: Development of a new iterative method and its convergence analysis for nonlinear fourth‐order boundary value problems arising in beam analysis
    Authors: S. Tomar, M. Singh, H. Ramos, A.M. Wazwaz
    Year: 2022
    Citations: 3
    Source: Mathematical Methods in the Applied Sciences, 1-9

  • Title: Reply to Comment on ‘Analytical approach for solving population balances: a homotopy perturbation method’ (2019)
    Authors: G. Kaur, R. Singh, M. Singh, J. Kumar, T. Matsoukas
    Year: 2020
    Citations: 3
    Source: Journal of Physics A: Mathematical and Theoretical 53 (38), 388002

  • Title: Efficient Mass-Preserving Finite Volume Approach for the Rennet-Induced Coagulation Equation
    Authors: M. Singh, N. Sriwastav, O. Shardt
    Year: 2024
    Citations: 2
    Source: Chaos, Solitons and Fractals 181, 114692

  • Title: Models for converting CLD to PSD for bimodal distributions of particles
    Authors: V.G. Honavar, A. Pandit, M. Singh, V. Ranade
    Year: 2023
    Citations: 2
    Source: Chemical Engineering Research and Design 200, 576-591

  • Title: An opportunity for streamlined computational fluid dynamics integration via a semi-analytical method for weighted finite volume fragmentation equations
    Authors: S. Yadav, D. Wadhwa, M. Singh, J. Kumar
    Year: 2024
    Citations: 1
    Source: Physics of Fluids 36 (12), 123322

  • Title: Optimizing numerical performance of enzymatic coagulation models: Insights into proteolysis and gelation dynamics
    Authors: Z. Ansari, M. Rae, J. Kumar, M. Singh
    Year: 2024
    Citations: 1
    Source: Physics of Fluids 36, 117171

  • Title: Explicit and approximate solutions for a classical hyperbolic fragmentation equation using a hybrid projected differential transform method
    Authors: N. Yadav, Z. Ansari, R. Singh, A. Das, S. Singh, S. Heinrich, M. Singh
    Year: 2024
    Citations: 1
    Source: Physics of Fluids 36 (9), 093343

  • Title: A new and unified semi-analytical method with a convergence acceleration parameter for linear and nonlinear fragmentation equations
    Authors: S. Keshav, M. Singh, S. Singh, G. Walker, J. Kumar
    Year: 2025
    Source: Proceedings of the Royal Society A. Mathematical, Physical and Engineering

  • Title: Extending the applicability of improved Chebyshev-Secant-type methods
    Authors: N. Yadav, S. Singh, E. Martínez, M. Singh
    Year: 2025
    Source: Zeitschrift für angewandte Mathematik und Physik

  • Title: A meshfree approach for the rennet-induced coagulation equation: Spline based multistage Bernstein collocation method and its convergence analysis
    Authors: N. Sriwastav, A. Das, O. Shardt, J. Kumar, M. Singh
    Year: 2025
    Source: Applied Mathematical Modelling 143, 116035

  • Title: Machine Learning Configurations for State of Charge Predictions of Li-ion Batteries
    Authors: M. Rae, M. Ottaviani, D. Capkova, T. Kazda, M. Singh
    Year: 2025
    Source: Monatshefte für Chemie – Chemical Monthly

  • Title: Explicit and approximate solutions for the fragmentation equation in the presence of source and efflux terms: a coupled meshfree approach and its convergence analysis
    Authors: S. Keshav, S. Singh, Y. Huang, J. Kumar, M. Singh
    Year: 2025
    Source: Kinetic and Related Models 18 (4), 520-540

 

Mehakpreet Singh | Computational Mathematics | Best Researcher Award

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