Tijani Mohammed | Statistical Methods | Best Researcher Award

Dr. Hamdi Jaballah | Statistical Methods | Best Researcher Award

Doctorate at Institut de chimie et des matériaux Paris Est, CNRS, France

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🌟Academic Background

Hamdi Jaballah is an accomplished engineer in materials science with a Ph.D. in Physics and a Master’s in Condensed Matter Physics. With four years of experience in research and development, he specializes in cutting-edge materials for energy applications, including hydrogen storage, permanent magnets, and magnetocaloric materials for solid-state refrigeration. Proficient in Python for data analysis, Hamdi is recognized for his excellent communication, writing, and teamwork skills. Driven by innovation, he is committed to contributing to the energy, automotive, mobility, and renewable energy sectors.

🎓 Education

Hamdi earned his Doctorate in Physics and Materials Science from Université Paris Est Créteil, where he focused on synthesizing and studying new composite materials for solid-state refrigeration. He also holds a Master’s degree in Condensed Matter Physics and a Bachelor’s degree in Physics and Chemistry from Faculté des Sciences de Tunis El-Manar. His academic background laid the foundation for his expertise in materials engineering.

💼 Professional Experience

Currently a Research Engineer at the Institut de Chimie et des Matériaux Paris-Est, CNRS, Hamdi is engaged in developing innovative materials for energy applications. His work includes the fabrication of intermetallic alloys, nanomaterials for permanent magnets, and hydrogen storage materials. Previously, he volunteered as an R&D Engineer at Capgemini Engineering, where he developed prototypes for magnetic cooling. His earlier roles include being an Intern Researcher in numerical physics and materials science, where he modeled magnetic materials using DFT.

🔬 Research Interests

Hamdi is passionate about advancing materials science for sustainable energy solutions. His research focuses on hydrogen storage, aiming to develop efficient solid-state solutions for transportation decarbonization. He is also dedicated to exploring magnetocaloric and electrocaloric materials for eco-friendly refrigeration. Additionally, Hamdi is interested in creating multifunctional energy materials to enhance the performance of sustainable energy systems.

🌐 Skills and Expertise

Hamdi’s technical skills include proficiency in Python (pandas, NumPy, SciPy, Matplotlib), Mathematica, MATLAB, and various materials analysis tools. He has extensive experience in data analysis, project management, and problem-solving. Fluent in French, English, and Arabic, Hamdi excels in cross-functional communication and collaboration.

📖 Publication

Sm Substitution Effect on the Critical Behaviour of Laves Phase Gd1−xSmxCo2 Intermetallic Nearby the Ferromagnetic-Paramagnetic Phase Transition
    • Authors: S. Bellafkih, H. Jaballah, L. Bessais
    • Journal: Solid State Sciences
    • Year: 2024
Influence of Iron Substitution on Structural, Magnetic, and Magnetocaloric Properties of Tb2Fe17−xAlx Compounds Synthesized by Arc Melting
    • Authors: S. Charfeddine, I. Souid, H. Jaballah, L. Bessais, A. Korchef
    • Journal: Inorganic Chemistry Communications
    • Year: 2024
Crystal Structure Change in Magnetocaloric Compounds (Er,Nd)2Fe17
    • Authors: S. Louhichi, H. Jaballah, L. Bessais, M. Jemmali
    • Journal: Inorganic Chemistry Communications
    • Year: 2024
Structural, Magnetic and Magnetocaloric Properties of the Gd2Fe17-xCrx (x = 0, 0.5, 1 and 1.5) Compounds
    • Authors: M. Saidi, H. Jaballah, L. Bessais, M. Jemmali
    • Journal: Journal of Physics and Chemistry of Solids
    • Year: 2023
Exploring Crystal Structure, Hyperfine Parameters, and Magnetocaloric Effect in Iron-Rich Intermetallic Alloy with ThMn12-Type Structure: A Comprehensive Investigation Using Experimental and DFT Calculation
    • Authors: J. Horcheni, H. Jaballah, E. Dhahri, L. Bessais
    • Journal: Magnetochemistry
    • Year: 2023

Dr. Marta Campi | Statistical Methods | Best Researcher Award

Dr. Marta Campi, Statistical Methods, Best Researcher Award 

Doctareat at Institut Pasteur, France

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Summary:

Dr. Marta Campi is a Postdoctoral Researcher at Institut Pasteur with expertise in Statistical Signal Processing and Machine Learning. She specializes in developing computational optimal speech enhancement techniques for real-time application in hearing aids, particularly tailored for individuals with auditory neuropathies. Her research integrates personalized cues into model calibration for improved efficacy. With a background in financial computing and econometrics, Marta brings a diverse skill set to her research endeavors.

Education:

  • PhD in Statistical Science and Signal Processing, University College London, UK
  • MPhil in Statistics, University College London, UK
  • MRes in Financial Computing, University College London, UK
  • MSc in Financial Econometrics, University of Essex, UK
  • BSc in Mathematical Statistics and Data Management, Universita degli studi di Genova, Italy

Professional Experience:

Dr. Marta Campi has amassed a diverse and extensive professional background, spanning various research, academic, and industry roles across multiple countries. As a Postdoctoral Researcher at Institut Pasteur in Paris, France, she focuses on advancing signal processing techniques for auditory applications, particularly in the development of computational optimal speech enhancement methods for hearing aids. Marta’s expertise extends to her role as a Research Engineer at Telecom Paris, where she contributed to implementing machine learning geolocation methods for wireless device networks.

Her dedication to education is evident through her tenure as a Teaching Assistant at University College London, where she tutored courses in probability, statistics, and programming methods. Marta has also lent her expertise as a Research Assistant at Heriot-Watt University in Edinburgh, Scotland, and City University of London, enriching projects in green finance and copula functions within insurance applications, respectively.

She broadened her research horizons through international collaborations, serving as a Visiting Research Fellow at the Institute of Statistical Mathematics in Tokyo, Japan, and a Visiting Research Student at Universite Clermont Auvergne in Clermont-Ferrand, France. Marta’s industry experience includes roles as a Senior Analyst at Fortlake Asset Management in Sydney, Australia, and as a Consultant at InRobin in Edinburgh, UK, where she contributed to predictive modeling and asset maintenance monitoring.

Her earlier experience as a Junior Analyst at COSTA CROCIERE S.P.A in Genova, Italy, further enriched her analytical skills and understanding of demand forecasting and price optimization. Throughout her career, Marta has demonstrated a commitment to interdisciplinary research and innovation, bridging the gap between academia and industry to address complex challenges in statistical signal processing and machine learning.

Research Interest :

Dr. Campi’s research interests span statistical signal processing, machine learning, and auditory neuroscience, with a focus on developing innovative solutions for speech enhancement in hearing aids. She is particularly interested in leveraging personalized cues and novel signal processing techniques to address auditory neuropathies and improve the quality of life for individuals with hearing impairments. Marta’s interdisciplinary approach combines her expertise in statistical science with real-world applications, aiming to bridge the gap between cutting-edge research and clinical practice in audiology.

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