Sayak Chatterjee | Research Excellence | Best Researcher Award

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Dr. Sayak Chatterjee | Research Excellence | Best Researcher Award

Dr. Sayak Chatterjee | University of Massachusetts | United States

Dr. Sayak Chatterjee is a distinguished Postdoctoral Research Scholar in the Department of Physics at the University of Massachusetts Amherst, USA, specializing in experimental high-energy nuclear and particle physics. His research focuses on precision measurements, detector development, and high-rate data acquisition systems for frontier experiments such as MOLLER at Jefferson Lab and CBM at FAIR, Germany. With advanced expertise in Gas Electron Multipliers (GEM), Cherenkov detectors, and GEANT4-based simulations, he has contributed significantly to detector innovation and performance optimization. Dr. Chatterjee has an impressive academic record, authoring 44 research documents with 179 citations and an h-index of 7, reflecting the impact of his contributions to detector physics. His scholarly excellence has been recognized through multiple international honors, including the Ernest Rutherford Best Researcher Award and the Young Research Grant at the Pisa Meeting on Advanced Detectors, Italy. Beyond research, he serves on editorial boards, reviews for leading journals, and actively mentors students, embodying excellence in both scientific innovation and academic leadership.

Profiles:  ORCID | Scopus | Google Scholar | LinkedIn

Featured Publications

Chatterjee, S. (2025). Characterization of Cherenkov detectors for the MOLLER experiment. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

Mandal, S., Chatterjee, S., Sen, A., Gope, S., Dhani, S., Hegde, A. C., … (2024). Investigation of the stability in the performance of triple GEM detectors for High Energy Physics experiments. Nuclear Instruments and Methods in Physics Research Section A.

Chatterjee, S., Sen, A., Das, S., & Biswas, S. (2023). Charging-up effect and uniformity study of a single mask triple GEM detector. Nuclear Instruments and Methods in Physics Research Section A.

Chatterjee, S., Sen, A., Das, S., & Biswas, S. (2023). Effect of relative humidity on the long-term operation of a single mask triple GEM chamber. Nuclear Instruments and Methods in Physics Research Section A.

Sen, A., Chatterjee, S., Das, S., & Biswas, S. (2023). Characterization of a new RPC prototype using conventional gas mixture. Nuclear Instruments and Methods in Physics Research Section A.

Yu Lan Wang | Research Excellence | Best Researcher Award

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Prof. Dr. Yu Lan Wang | Research Excellence | Best Researcher Award

Prof. Dr. Yu Lan Wang | Inner Mongolia University of Technology | China

Professor Yu Lan Wang is a distinguished researcher at Inner Mongolia University of Technology, recognized for her impactful contributions to computational mathematics, numerical analysis, and nonlinear science. She has published 61 scholarly works, which have been cited in over 839 publications, 16 h-index, Demonstrating her strong influence and academic reach. Her research has been acknowledged through a solid citation record and a notable research index, highlighting both the quality and depth of her contributions. By advancing high-precision methods for fractional-order systems and uncovering novel chaotic behaviors, she continues to inspire innovation across mathematics, physics, and engineering.

Profile: Scopus | Orcid

Featured Publications

Zhang, S., Zhang, H., Wang, Y., & Li, Z. (2025). Dynamic properties and numerical simulations of a fractional phytoplankton–zooplankton ecological model. Networks and Heterogeneous Media, 20(2), Article 028.

Zhang, H., Wang, Y., Bi, J., & Bao, S. (2025). Novel pattern dynamics in a vegetation–water reaction–diffusion model. Mathematics and Computers in Simulation. Advance online publication.

Wang, X., Zhang, H., Wang, Y., & Li, Z. (2025). Dynamic properties and numerical simulations of the fractional Hastings–Powell model with the Grünwald–Letnikov differential derivative. International Journal of Bifurcation and Chaos. Advance online publication.

Han, Y., Zhang, J., & Wang, Y. (2024). Dynamic behavior of a two-mass nonlinear fractional-order vibration system. Frontiers in Physics, 12, 1452138.

Ning, J., & Wang, Y. (2024). Fourier spectral method for solving fractional-in-space variable coefficient KdV–Burgers equation. Indian Journal of Physics, 98, 1865–1875.

Tian, F., Wang, Y., & Li, Z. (2024). Numerical simulation of soliton propagation behavior for the fractional-in-space NLSE with variable coefficients on unbounded domain. Fractal and Fractional, 8(3), 163.

Zhang, S., Zhang, H., Wang, Y., & Li, Z. (2024). Research on dynamical behavior of a phytoplankton–zooplankton ecological model. Research Square. Preprint.

Gao, X., Zhang, H., Wang, Y., & Li, Z. (2024). Research on pattern dynamics behavior of a fractional vegetation–water model in arid flat environment. Fractal and Fractional, 8(5), 264. 

Zhao, L., & Zhang, W. (2024). Fourier spectral method for the fractional-in-space coupled Whitham–Broer–Kaup equations on unbounded domain. Open Physics, 22(1), 781–795.

Gao, X., Li, Z., & Wang, Y. (2024). Chaotic dynamic behavior of a fractional-order financial system with constant inelastic demand. International Journal of Bifurcation and Chaos, 34(7), 2450111.

Zhang, W., Wang, H., Zhang, H., Li, Z., & Li, X. (2024). Dynamical behavior of the fractional BBMB equation on unbounded domain. Fractal and Fractional, 8(7), 383.

Gao, X., Wang, Y., & Li, Z. (2023). High-precision numerical methods for a class of fractional-order financial systems with constant inelastic demand. SSRN.

Tang, W., Wang, Y., & Li, Z. (2023). Numerical simulation of fractal wave propagation of a multi-dimensional nonlinear fractional-in-space Schrödinger equation. Physica Scripta, 98(2), 025212.

Dai, D., Li, X., Li, Z., Zhang, W., & Wang, Y. (2023). Numerical simulation of the fractional-order Lorenz chaotic systems with Caputo fractional derivative. Computer Modeling in Engineering & Sciences, 135(2), 481–499.