Abdul-Majeed Al-Izeri | Data Science | Best Scholar Award

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Abdul-Majeed Al-Izeri | Data Science | Best Scholar Award

Dr. Abdul-Majeed Al-Izeri , Clermont Auvergne University, France.

Publication profile

Googlescholar

Education and Experience

  • 2020-2021: University degree in Data Science, University Clermont Auvergne, France. 🎓
  • 2013-2016: PhD in Mathematics (Mathematical analysis of PDEs), University Clermont Auvergne, France. 📜
  • 2011-2012: Master 2 in Mathematical Modelling (PDEs, calculation, epidemiology), University of Bordeaux, France. 💻
  • 2010-2011: Master 1 in Mathematics (Modelling, calculation, environment), University of Bordeaux, France. 📐
  • 2002-2006: BSc in Mathematics, University of Thamar, Yemen. 📘
  • October 2021-Present: Assistant Professor, Applied Mathematics, Clermont Auvergne University, France. 👩‍🏫
  • January 2018-July 2021: Postdoctoral Researcher in Epidemiology and PDEs, Clermont Auvergne University, France. 🔬
  • 2017: Postdoctoral Project in PDEs Dynamics, Clermont Auvergne University, France. 🧮
  • 2013-2016: Thesis Project in Mathematical Analysis of Population Dynamics, Blaise Pascal University, France. 🔍
  • 2012: Research Internship, Epidemic Model Study, University of Bordeaux, France. 💡
  • 2011: Project in Mathematical Modelling for Fishing Resources, University of Bordeaux, France. 🐟

Suitability For The Award

Dr. Abdul-Majeed Al-Izeri is indeed a highly suitable candidate for the Best Scholar Award based on his extensive academic qualifications, professional experience, and notable contributions to the field of Applied Mathematics and Data Science. His academic background, including a PhD in Mathematics with a specialization in Partial Differential Equations (PDEs), as well as a strong postdoctoral research profile, makes him a valuable asset in both academia and research communities.

Professional Development 

Dr. Al-Izeri has gained comprehensive skills in programming languages like Fortran, Matlab, Python, and R, along with proficiency in parallel computation using MPI. His expertise extends to using Latex and other office software for academic writing and presentations. He has been involved in several international research projects focused on applying mathematical theories to solve real-world problems in epidemiology and population dynamics. Dr. Al-Izeri’s ongoing commitment to improving his mathematical expertise and expanding his knowledge in data science and computational methods keeps him at the forefront of his field. 📊💻🔍

Research Focus 

Awards and Honors

  • 2021: Assistant Professor Appointment, Clermont Auvergne University, France. 🎓
  • 2016: PhD Completion, Mathematical Analysis of PDEs, University Clermont Auvergne. 🏆
  • 2012: Research Internship Excellence Award, University of Bordeaux. 🌟
  • 2011: Best Project in Mathematical Modelling for Resource Management, University of Bordeaux. 🏅

Publoication Top Notes

  1. On the solutions for a nonlinear boundary value problem modeling a proliferating cell population with inherited cycle length – AM Al-Izeri, K Latrach, Nonlinear Analysis: Theory, Methods & Applications 143, 1-18, Cited by 6, 2016 📘🧬
  2. Well-posedness of a nonlinear model of proliferating cell populations with inherited cycle length – ALI Abdul-Majeed, K Latrach, Acta Mathematica Scientia 36 (5), 1225-1244, Cited by 5, 2016 📊🧫
  3. Nonlinear semigroup approach to transport equations with delayed neutrons – ALI Abdul-Majeed, K Latrach, Acta Mathematica Scientia 38 (6), 1637-1654, Cited by 3, 2018 🔬⏳
  4. A nonlinear age-structured model of population dynamics with inherited properties – AM Al-Izeri, K Latrach, Mediterranean Journal of Mathematics 13, 1571-1587, Cited by 3, 2016 🌱🔢
  5. On the asymptotic spectrum of a transport operator with elastic and inelastic collision operators – AM Al-Izeri, K Latrach, Acta Mathematica Scientia 40, 805-823, Cited by 2, 2020 🔍🔄
  6. A note on fixed point theory for multivalued mappings – AM Al-Izeri, K Latrach, Fixed Point Theory 24 (1, 2023), 233-240, Cited by 1, 2023 📐📍

 

Mrs. Marcia Baptista | Machine Learning and Prognostics | Best Researcher Award

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Mrs. Marcia Baptista | Machine Learning and Prognostics | Best Researcher Award

Mrs. Marcia Baptista, Delft University of Technology

Mrs. Marcia Baptista, currently an Assistant Professor at TU Delft and soon joining NOVA IMS, completed her Ph.D. in Engineering Design and Advanced Manufacturing at MIT Portugal Program 📚. Her research in machine learning and deep learning for prognostics in aeronautics, conducted in collaboration with Rolls Royce and Embraer, has led to significant advancements in predictive maintenance technology 🔬. Marcia’s career spans leadership roles at NASA Ames Research Center and Instituto Tecnológico de Aeronáutica, focusing on technical prognostics and system engineering across continents. Her contributions have earned her Best Paper awards at esteemed conferences and recognition for teaching excellence 🏆. Beyond academia, Marcia chairs international conference sessions, serves editorial roles, and contributes to advanced engineering literature 🌐.

🌐 Professional Profile:

Orcid

Scopus

📚 Education & Academic Path

I completed my Ph.D. in Engineering Design and Advanced Manufacturing at MIT Portugal Program, focusing on machine learning and deep learning for prognostics in aeronautics. This research involved collaborations with Rolls Royce and Embraer, resulting in significant advancements in predictive maintenance technology.

🔬 Research & Professional Experience

Currently serving as an Assistant Professor at TU Delft and starting soon at NOVA IMS, I’ve been actively involved in teaching, research, and leadership roles. My work spans multiple continents, including positions at NASA Ames Research Center and Instituto Tecnológico de Aeronáutica, where I contributed to cutting-edge projects in technical prognostics and system engineering.

🏆 Achievements & Recognition

Throughout my career, I’ve been honored with numerous awards, including Best Paper accolades at prestigious conferences like WCE 2019 and ISM 2019. I’ve also received recognition for my teaching contributions and was awarded a Doctorate Scholarship from the Foundation for Sciences and Technology in Portugal.

🌐 Contributions & Outreach

Beyond academia, I’ve chaired sessions at international conferences and served as a web chair for the Intelligent Transport Systems Conference. My editorial roles include being a special issue editor for prominent journals and authoring chapters on advanced engineering topics.

Publication Top Notes:

  • Aircraft Engine Bleed Valve Prognostics Using Multiclass Gated Recurrent Unit
    • Year: 2023
    • Citations: 2
  • 1D-DGAN-PHM: A 1-D denoising GAN for Prognostics and Health Management with an application to turbofan
    • Year: 2022
    • Citations: 4
  • Relation between prognostics predictor evaluation metrics and local interpretability SHAP values
    • Year: 2022
    • Citations: 57
  • A self-organizing map and a normalizing multi-layer perceptron approach to baselining in prognostics under dynamic regimes
    • Year: 2021
    • Citations: 14
  • Classification prognostics approaches in aviation
    • Year: 2021
    • Citations: 15

 

 

Prof. Gui Gui | Big Data Analysis Awards | Best Scholar Award

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Prof. Gui Gui | Big Data Analysis Awards | Best Scholar Award

Prof. Gui Gui, Central South University, China

🎓 Prof. Gui Gui, a distinguished scholar 📚 hailing from Central South University 🇨🇳, boasts a stellar academic journey, culminating in a Ph.D. in Computer Science from the University of Essex 🎓. As a Full Professor at the School of Automation, her expertise in artificial intelligence and big data systems 🤖 propels groundbreaking research, enriching the global academic landscape 🔬. Beyond her role in academia, Gui Gui’s leadership 🌟 and commitment to knowledge dissemination 🌐 shape the future of computer science, inspiring generations of researchers and professionals.

🌐 Professional Profile:

Orcid

🎓 Education

Gui Gui holds a Bachelor of Engineering and a Master of Science in Computer Science from Central South University, Changsha, China. She furthered her education by obtaining a Ph.D. in Computer Science from the University of Essex, Colchester, UK, in 2007, showcasing her commitment to academic excellence and research.

🔬 Research Focus

As a distinguished Full Professor at the School of Automation, Central South University, China, Gui Gui’s research interests revolve around cutting-edge fields such as artificial intelligence, data modeling, and big data systems. Her work contributes significantly to advancing knowledge and innovation in these rapidly evolving domains.

💼 Professional Accomplishments

Gui Gui’s journey in academia has seen her rise to the esteemed position of Full Professor, reflecting her expertise, leadership, and dedication to the field of automation. Her leadership role underscores her influence in shaping the next generation of researchers and professionals in the realm of computer science.

🌐 Contributions & Impact

Gui Gui’s contributions extend beyond the classroom and laboratory, as she actively engages in scholarly activities, collaborations, and knowledge dissemination. Through her research, publications, and academic engagements, she continues to make a profound impact on the global academic community.

Publication Top Notes:

Object detection on low-resolution images with two-stage enhancement
  • Journal: Knowledge-Based Systems
  • Year: 2024-09