Dr.Hawraa Khalife | Neutrino Experiments | Best Researcher Award
Dr. Hawraa Khalife, IRFU – CEA Paris-Saclay, France
Dr. Hawraa Khalife is a postdoctoral researcher at the Institute of Research into the Fundamental Laws of the Universe (IRFU) within the French Alternative Energies and Atomic Energy Commission (CEA) at Paris-Saclay, France. Her research lies at the intersection of experimental physics and cryogenic detector technology, focusing on subatomic physics, data analysis of nuclear detectors, and cutting-edge developments in particle detection systems.
PROFILE
Educational Details:
Dr. Khalife earned her Ph.D. in Physics from Paris-Saclay University in collaboration with the IJCLab (Institut de Physique des 2 Infinis) in 2021. Her doctoral research was primarily centered on the experimental aspects of subatomic physics and advanced detector systems. Prior to her Ph.D., she completed her Master’s Degree in Subatomic Physics at the Lebanese University, Faculty of Sciences in Beirut, Lebanon, from 2015 to 2017. She also holds a Bachelor’s Degree in Physics from the Lebanese University, Faculty of Sciences in Nabatieh, Lebanon, completed between 2012 and 2015.
Professional Experience
Since February 2021, Dr. Khalife has been working as a postdoctoral researcher at IRFU – CEA Paris-Saclay, contributing to several high-profile projects in nuclear and subatomic physics. Before her current position, she served in the same capacity from November 2017 to January 2021 at CEA, where she honed her expertise in cryogenic systems, detector assembly, and data acquisition. Dr. Khalife’s work encompasses a broad range of experimental activities, including cleanroom experience, electronics, coating using evaporation systems, electrodeposition of contacts, and the data analysis of nuclear detectors.
Research Interest
Dr. Khalife’s research is primarily focused on experimental subatomic physics, nuclear detectors, and cryogenic detector systems. Her expertise includes cryogenic systems, detector development, and assembly, as well as advanced data analysis techniques using MATLAB, OriginPro, and ROOT software. Her work has applications in nuclear and particle physics, with a particular interest in low-temperature physics, detector optimization, and material science in relation to subatomic particle detection.
Skills
Proficiency in cryogenic systems and nuclear detector technologies.
Expertise in electronics and data acquisition systems.
Extensive experience with cleanroom environments, coating processes, and electrodeposition of contacts.
Programming and data analysis using C++, Matlab, ROOT, and OriginPro.
Top Notable Publications
The CROSS Experiment: Rejecting Surface Events by PSD Induced by Superconducting Films
Authors: J. Billard, D. Misiak, H. Khalife, et al.
Journal: Journal of Low Temperature Physics
Publication Date: April 2020
DOI: 10.1007/s10909-020-02369-7
Citations: 20 (as of October 2023)
The CUPID-Mo Experiment for Neutrinoless Double-Beta Decay: Performance and Prospects
Authors: D. Armengaud, C. Augier, A. S. Barabash, H. Khalife, et al.
Journal: The European Physical Journal C
Publication Date: January 2020
DOI: 10.1140/epjc/s10052-019-7578-6
Citations: 70 (as of October 2023)
First Test of a CdMoO4 Scintillating Bolometer for Neutrinoless Double Beta Decay Experiments with 116Cd and 100Mo Nuclides
Authors: E. Armengaud, A. S. Barabash, H. Khalife, et al.
Journal: Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment
Publication Date: November 2019
DOI: 10.1016/j.nima.2019.162395
Citations: 55 (as of October 2023)
Conclusion
Dr. Hawraa Khalife’s solid academic background, prolific publication record, and experimental expertise make her a strong contender for the Best Researcher Award. Her contributions to subatomic physics have significantly advanced our understanding of the field, showcasing her as a leader in experimental research. Given her demonstrated commitment to scientific innovation, Dr. Khalife is well-deserving of this prestigious recognition.