- Email: mohammad.nizam@xmu.edu.my
- Office: A4-472
- Research interests:
- Neutrino oscillations and dark matter searches
- High energy physics instrumentation
- Detector simulation
BIOGRAPHY
Mohammad Nizam obtained his PhD from Homi Bhabha National Institute (HBNI), India in 2020. He was a postdoctoral fellow at the Santa Cruz Institute for Particle Physics (SCIPP), University of California Santa Cruz (UCSC) and now working at the Department of Physics, Xiamen University Malaysia as an assistant professor. His research focuses on neutrino oscillations, detector development for high energy physics experiments and medical imaging.
RESEARCH INTERESTS
- Particle physics: Neutrino mass hierarchy; Absolute neutrino mass measurement; Matter effects in neutrino oscillations; CP violation in neutrino oscillations; Neutrinoless double beta decay; Dark matter searches.
- Instrumentation and simulation: Low Gain Avalanche Diodes (LGADs); Diomond based sensors; Resistive Plate Chambers (RPCs); Time Projection Chambers (TPCs); Accelerator beam diagnostics; DAQ systems; Medical imaging; Hadron therapy; Muon tomography.
EDUCATIONAL BACKGROUND
- PhD: High Energy Physics, Homi Bhabha National Institute (2020)
- MSc: Atomic & Molecular Spectroscopy, Aligarh Muslim University (2010)
- BSc: Aligarh Muslim University (2008)
WORKING EXPERIENCE
- Xiamen University Malaysia (Assistant Professor, since 2024)
- University of California Santa Cruz (Postdoctoral Fellow, 2020 – 2024)
- Tata Institute of Fundamental Research (Visiting Researcher, 2019 – 2020)
RESEARCH EXPERIENCE / GRANTS
- Exploring the use of electronic-grade diamond sensors for applications in extreme environments.
- TCAD simulation and study of crucial charge collection parameters of LGADs and diamond sensers.
- Development of a Submerged Wireless Imaging Monitor (SWIM) for beam diagnostic at the Isotope Production Facility (IPF) at Los Alamos National Laboratory.
- Studies on Multi-gap Resistive Plate Chambers (MRPCs) for Positron Emission Tomography (PET).
- Geant4 Simulation of hadron energy reconstruction in atmospheric neutrino events @ ICAL, India based Neutrino Observatory (INO).
REPRESENTATIVE PUBLICATIONS
- C. Chock, K. Flood, L. Macchiarulo, F. Martinez-Mckinney, A. Martinez-Rojas, S. Mazza, I. Mostafanezhad, M. Nizam, First test results of the trans-impedance amplifier stage of the ultra-fast HPSoC ASIC, JINST, vol. 18, no. 02, p. C02016, 2023.
- S.M. Mazza, G. Saito, Y. Zhao, T. Kirkes, N. Yoho, D. Yerdea, N. Nagel, J. Ott, M. Nizam, Synchrotron light source X-ray detection with Low-Gain Avalanche Diodes. Journal of Instrumentation, vol. 18, no. 10, P10006, Oct. 2023.
- J. Ott, S Letts, A. Molnar, E. Ryan, M. Wong, S. Mazza, M. Nizam, Investigation of signal characteristics and charge sharing in AC-LGADs with laser and test beam measurements, Nucl. Instrum. Meth. A, vol. 1045, p. 167 541, 2023.
- R. Padilla, E. Gonzalez, S. Kachiguine, F. Martinez Mckinney, S. Mazza, N. Nagel, M. Nizam, Development of diamond-based diagnostics for next-generation xfels, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, vol. 1057, p. 168 763, 2023.
- J. Bohon, E. Gonzalez, C. Grace, C. T. Harris, B. Jacobson, S. Kachiguine, D. Kim, J. McArthur, F. Martinez Mckinney , S. Mazza, M. Nizam, Use of diamond sensors for a high-flux, high-rate X-ray pass-through diagnostic, J. Synchrotron Radiat., vol. 29, no. 3, pp. 595–601, 2022.
- J. Datta, M. Nizam, Ali Ajmi, S. Uma Sankar, Matter vs vacuum oscillations in atmospheric neutrinos, Nucl. Phys. B, vol. 961, p. 115 251, 2020
- M. Nizam, S. Uma Sankar, Hadron energy estimation from atmospheric neutrino events, Pramana, vol. 94, no. 1, p. 118, 2020.
- M. Nizam, S. Bharti, S. Prakash, U. Rahaman, S. Uma Sankar, Tensions between the appearance data of T2K and NOνA, Mod. Phys. Lett. A, vol. 35, no. 06, p. 06, 2019.
- M. Nizam, B. Satyanarayana, R.R. Shinde, G. Majumder, Feasibility study for Time Of Flight PET imaging based on six gap MRPC, JINST, vol. 14, no. 09, p. C09010, 2019.