Research at the Energy Frontier

We develop cutting-edge detector technologies and intelligent algorithms, using creative thinking to uncover the secrets of the universe.

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Research

"Trouver n'est rien, c'est le plan qui est difficile." – Fiodor Dostoïevski

Searching for new physics at energy frontier through innovative particle detector R&D

In my group, we strive to expand our understanding of the Universe at the energy frontier, at a particle collider. Our current projects range from next-generation detector technology R&D to beyond standard model physics searches at the world most energetic particle collider, the LHC at Geneva. In our work, we aim to (1) develop innovative detector system for next-generation experiments with a particular focus on cross-disciplinary research; (2) create software algorithms to fully mine the experimental data for physics; (3) search for new physics beyond the standard model.

Are neutrinos Majorana fermions? - NWO OC ENW M-1 Grant 2024-2025 (PI)
Fast sensors and Algorithms for Space-time Tracking and Event Reconstruction (FASTER) - NWO OC ENW XL Grant 2021-2022 (Co-applicant)

Publications

Dr. Mengqing Wu

Assistant Professor of High Energy Physics, Faculty of Science, Radboud University, Nijmegen, NL

I am an Assistant Professor at the Institute for Mathmatics, Astrophysics and Particle Physics of Radboud University in Nijmegen. My research forcuses on experimental high energy physics (hep-ex) and my research interest is the cutting-edge detector technology and Physics Beyond Standard Model of particle physics.

My current research activities are categorised into two directions, one focuses on physics analyses searching for physics beyond standard model (BSM); the other focuses on detector system, including the High Granularity Timing Detector project for the ATLAS detector HL-LHC upgrade and the next generation general Data Acquisition (TDAQ) system FELIX for the ATLAS detector. In the meanwhile, I am investigating research and development projects on fast timing 4D detector.

Education

2015 PhD: Laboratoire de Physique Subatomique et de Cosmologie (LPSC), French National Center for Scientific Research (CNRS) & University Grenoble Alpes, Grenoble (FR)
2012 MSc: School of Nuclear Science and Technology, Lanzhou University, Lanzhou (CN)
2011 BSc: School of Nuclear Science and Technology, Lanzhou University, Lanzhou (CN)

Current Positions

since 2020: Assistant Professor of High Energy Physics, Faculty of Science, Radboud University, Nijmegen, NL
since 2020: Research staff of Dutch National Institute for subatomic physics (Nikhef), Amsterdam, NL

Positions

2017-2020: Project Scientist, Deutsches Elektronen-Synchrotron (DESY), Hamburg, DE
2015-2017: Postdoc fellow, Institute of High Energy Physics (IHEP), Beijing, CN (secondment to CERN, Geneva, CH)

Leadership & Responsibilities

Current Duties

2023-Pres.: Member of ECFA DRD Collaboration (DRD3 semiconductor and DRD7 electronics).
2023-Pres.: Member of Nikhef Diversity and Inclusion committee.
2021-Pres.: Member of CERN Contact Committee for the Netherlands.
2021-Pres.: Committee member of the Section Subatomic and Astroparticle Physics (SAF) of the Netherlands’ Physical Society (NNV).
2020-Pres.: Member of ATLAS Collaboration.
2020-Pres.: Member of ATLAS TDAQ Collaboration.

Past Duties (selected)

2021-2025: Coordinator of ATLAS HGTD DAQ/Luminosity/Control group.
2017-2020: Task Lead of EU Horizon funded AIDA-2020 project.
2015-2017: Convener in the CMS Physics Performance & Dataset Project (PPD)
2015-2016: Member of CERN LHC Dark Matter Forum.

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Services

Projects

partly still under construction

PhD projects

Check out our PhD's work and their academic activities!

Master/Bachelor Projects

Check out alumni work, ongoing projects, and interesting topics, and join us!

Lab Facilities

A semiconductor detector system lab

Detector R&D

Fast timing detector R&D, currently focused on LGAD based picosecond timing detector R&D, specialised in simulation, characterisation and detector system design.

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Power, Data Acquisition & Algorithms

Power-over-fiber in collaboration with Applied Material scientist; backend data acquisition with FPGA, data processing and object reconstruction algorithms. New focus AI for HEP experiments.

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