Moji Ghadimi

Senior Research Fellow, University of Queensland

Research Expertise

Quantum Foundations
Experimental Quantum Physics
Computational Physics
Machine Learning
Statistical and Nonlinear Physics
Computational Theory and Mathematics
Computer Networks and Communications
Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering
Condensed Matter Physics
Nephrology
Instrumentation
Hardware and Architecture
Health Policy
Computer Science Applications
Health Informatics
Pharmacology

About

My passion is to thoroughly understand complex systems to the level that I can explain them to anyone and use that deep understanding to improve them. I have experience in a wide variety of fields in industry and academia (Quantum Computing, AI, IT Management, etc.). With my interdisciplinary knowledge and experience, I have been able to transform the workplaces I worked in so that they continued to perform better even after I left the job. As one example, I can mention my previous job at Griffith University, where I used AI, optimization, and automation to improve the functionality of the quantum computer that my team worked on. Outside work, I spend time with my family, play soccer, or go hiking.

Publications

Scalable ion–photon quantum interface based on integrated diffractive mirrors
npj Quantum Information
2017
Nonlocality in Bell’s Theorem, in Bohm’s Theory, and in Many Interacting Worlds Theorising
Entropy
2018
Multichannel optomechanical switch and locking system for wavemeters
Applied Optics
2020
Ion–photonic frequency qubit correlations for quantum networks
Journal of Physics B: Atomic, Molecular and Optical Physics
2021
POS-849 CHARACTERISTICS AND OUTCOMES OF HOSPITALIZED COVID-19 PATIENTS WITH ACUTE KIDNEY INJURY
Kidney International Reports
2022
Feasibility study of a coherent feedback squeezer
Physical Review A
2020
Dynamic compensation of stray electric fields in an ion trap using machine learning and adaptive algorithm
Scientific Reports
2022
Ultrafast coherent excitation of an ytterbium ion with single laser pulses
Applied Physics Letters
2021
Laser stabilization to neutral Yb in a discharge with polarization-enhanced frequency modulation spectroscopy
Review of Scientific Instruments
2020
Vlasov model using kinetic phase point trajectories for the study of BGK modes
Computer Physics Communications
2007
Parameter dependence and Bell nonlocality
Physical Review A
2021
Integrated Fresnel Mirrors for Scalable Trapped Ion Quantum Computing
Conference on Lasers and Electro-Optics
2016
Effect of Covid-19 Vaccination on Hospitalizations
Black Sea Journal of Health Science
2023
Machine learning clinical prediction models for acute kidney injury: the impact of baseline creatinine on prediction efficacy
BMC Medical Informatics and Decision Making
2023
Machine Learning Decision Support Systems for Predicting Acute Kidney Injury: Improving Precision to improve patient outcomes
Unknown Venue
2023
Outcomes, Risk Factors, and Incidence of Acute Kidney Injury in Hospitalized COVID-19 Patients
Iranian Red Crescent Medical Journal
2023
Raman Sideband Cooling 171Yb+ Across Zeeman Sub-levels
Frontiers in Optics + Laser Science 2021
2021
Towards long-distance quantum communication using trapped ions and frequency qubits
AOS Australian Conference on Optical Fibre Technology (ACOFT) and Australian Conference on Optics, Lasers, and Spectroscopy (ACOLS) 2019
2019
Monolithic optical integration for scalable trapped-ion quantum information processing
2015 11th Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR)
2015

Education

Griffith University

PhD, Quantum Physics / January, 2017

Brisbane, Queensland, Australia

Experience

The University of Queensland

Research Flllow level B / September, 2021Present

I manage a team of research assistants and PhD students who work on machine learning (in collaboration with Queensland Digital Health Centre, AU and Oxford University, UK) and quantum computing projects (in partnership with EQUS Research Centre, AU). I have published the results in world-leading level journals. - Improving quantum sensors using machine learning. - Improving training methods for quantum neural networks. - Improving the accuracy of training methods for neural networks (CNNs, LLMs) in collaboration with Griffith University, AU. - Machine Learning for detection of Kidney injury in hospitals in collaboration with Queensland Digital Health Centre. - Analysis of the ISARIC/Oxford international dataset, the largest COVID dataset in the world.

Griffith University

Research Fellow / December, 2018September, 2021

- Supervised stabilising quantum computers using machine learning. - Supervised the project “The Internet of the future: towards an intercontinental quantum network,” funded $870,000 to implement quantum security protocols over 60 km of optical fibre.

Ash food company

IT and Data Analytics Manager / September, 2009November, 2012

- Managed the IT unit of the Ash food production company, supervised 5 engineers and 15 technicians in the branches across the country and managed a total annual budget of $500,000. - Performed sales analytics with Excel and SQL Server. - I did web programming with PHP and MySQL. - I received a letter of appreciation for transforming the unit.

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