Tesfay Gidey | Statistical Modeling | Best Researcher Award

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Dr. Tesfay Gidey | Statistical Modeling | Best Researcher Award

Dr. Tesfay Gidey at Addis Ababa Science and Technology University, Ethiopia

👨‍🎓 Professional Profile

 📚 Early Academic Pursuits

Dr. Tesfay Gidey Hailu’s academic journey began with a strong foundation in Statistics at Addis Ababa University, where he earned his BSc with a minor in Computer Science. This rigorous curriculum equipped him with vital skills in statistical methods and computer programming, laying the groundwork for his future studies. He furthered his education with an MSc in Health Informatics and Biostatistics at Mekelle University, delving into advanced topics such as epidemiology and public health, which ignited his passion for applying data-driven solutions in healthcare.

💼 Professional Endeavors

Dr. Gidey has demonstrated remarkable leadership in academia, serving as Associate Dean at Addis Ababa Science and Technology University (AASTU) for multiple departments. His responsibilities included driving research initiatives, enhancing curriculum quality, and overseeing student services. Additionally, his role as Head of Department at Jimma University showcased his commitment to improving departmental operations and student satisfaction. His extensive experience in project management underscores his ability to lead technology projects effectively.

🔬 Contributions and Research Focus

Dr. Gidey’s research is centered on critical areas such as signal processing, indoor localization, and machine learning. His Ph.D. work at the University of Electronic Science and Technology of China focused on applying advanced algorithms to real-world problems, particularly in indoor positioning systems. His contributions to quality control in manufacturing industries and the modeling of public health data further highlight his dedication to leveraging data for impactful solutions.

🌍 Impact and Influence

Through his academic and professional endeavors, Dr. Gidey has significantly influenced the fields of Information and Communication Engineering and data science. His ability to bridge theory and practical application positions him as a valuable asset in technology-driven environments. His commitment to mentoring students and faculty alike has fostered a culture of innovation and continuous improvement within the institutions he has served.

📊 Academic Citations

Dr. Gidey’s scholarly work has gained recognition within academic circles, with several publications focusing on his research areas. His contributions to journals as a reviewer and author have enriched the body of knowledge in his fields, emphasizing the importance of interdisciplinary approaches to problem-solving.

🛠️ Technical Skills

Dr. Gidey is proficient in a variety of programming languages, including Python, R, Java, and C++. He is skilled in using statistical tools such as SAS, SPSS, and advanced machine learning packages. His expertise in data visualization and business intelligence tools, like Tableau and Power BI, equips him to extract meaningful insights from complex datasets.

👩‍🏫 Teaching Experience

With years of teaching experience, Dr. Gidey has effectively communicated complex subjects to students, ensuring they grasp fundamental concepts in information technology and data science. His ability to adapt his teaching methods to diverse learning styles has contributed to high levels of student engagement and success.

🌟 Legacy and Future Contributions

Dr. Gidey is dedicated to advancing the fields of data science and information engineering through research, teaching, and community engagement. His vision includes fostering collaborations between academia and industry, particularly in developing innovative solutions for public health and manufacturing. As he continues his career, Dr. Gidey aims to leave a lasting legacy that inspires future generations of engineers and data scientists.

📈 Conclusion

With a strong foundation in academic excellence, professional leadership, and research innovation, Dr. Tesfay Gidey Hailu stands poised to make significant contributions to the field of Information and Communication Engineering. His passion for data and commitment to actionable results ensure he will continue to drive progress and inspire those around him.

 

📖 Top Noted Publications

Theories and Methods for Indoor Positioning Systems: A Comparative Analysis, Challenges, and Prospective Measures
  • Author: Tesfay Gidey Hailu; Xiansheng Guo; Haonan Si; Lin Li; Yukun Zhang
    Journal: Sensors
    Year: 2024
Ada-LT IP: Functional Discriminant Analysis of Feature Extraction for Adaptive Long-Term Wi-Fi Indoor Localization in Evolving Environments
  • Author: Tesfay Gidey Hailu; Xiansheng Guo; Haonan Si; Lin Li; Yukun Zhang
    Journal: Sensors
    Year: 2024
Measurement Science and Technology
  • Author: Bright Awuku; Ying Huang; Nita Yodo; Eric Asa
    Journal: Measurement Science and Technology
    Year: 2024
Measurement Science and Technology
  • Author: Xun Zhang; Guanghua Xu; Xiaobi Chen; Ruiquan Chen; Jieren Xie; Peiyuan Tian; Sicong Zhang; Qingqiang Wu
    Journal: Measurement Science and Technology
    Year: 2024
Machine Learning: Science and Technology
  • Author: Omer Subasi; Sayan Ghosh; Joseph Manzano; Bruce Palmer; Andrés Marquez
    Journal: Machine Learning: Science and Technology
    Year: 2024
 MultiDMet: Designing a Hybrid Multidimensional Metrics Framework to Predictive Modeling for Performance Evaluation and Feature Selection
  • Author: Tesfay Gidey Hailu; Taye Abdulkadir Edris
    Journal: Intelligent Information Management
    Year: 2023

Tijani Mohammed | Statistical Methods | Best Researcher Award

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Dr. Hamdi Jaballah | Statistical Methods | Best Researcher Award

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

Profiles

Scopus Profile
Orcid Profile
Research gate

🌟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

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Dr. Marta Campi, Statistical Methods, Best Researcher Award 

Doctareat at Institut Pasteur, France

Professional Profile:

Scopus Profile 
Google Scholar Profile
Orcid Profile

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.

Publication Top Noted: