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.Ā šŸŽ“
  • 2013-2016: PhD in Mathematics (Mathematical analysis of PDEs), University Clermont Auvergne, France.Ā šŸ“œ
  • 2011-2012: Master 2 in Mathematical Modelling (PDEs, calculation, epidemiology), University of Bordeaux, France.Ā šŸ’»
  • 2010-2011: Master 1 in Mathematics (Modelling, calculation, environment), University of Bordeaux, France.Ā šŸ“
  • 2002-2006: BSc in Mathematics, University of Thamar, Yemen.Ā šŸ“˜
  • October 2021-Present: Assistant Professor, Applied Mathematics, Clermont Auvergne University, France.Ā šŸ‘©ā€šŸ«
  • January 2018-July 2021: Postdoctoral Researcher in Epidemiology and PDEs, Clermont Auvergne University, France.Ā šŸ”¬
  • 2017: Postdoctoral Project in PDEs Dynamics, Clermont Auvergne University, France.Ā šŸ§®
  • 2013-2016: Thesis Project in Mathematical Analysis of Population Dynamics, Blaise Pascal University, France.Ā šŸ”
  • 2012: Research Internship, Epidemic Model Study, University of Bordeaux, France.Ā šŸ’”
  • 2011: Project in Mathematical Modelling for Fishing Resources, University of Bordeaux, France.Ā šŸŸ

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 DevelopmentĀ 

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-Izeriā€™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.Ā šŸ“ŠšŸ’»šŸ”

Research FocusĀ 

Awards and Honors

  • 2021: Assistant Professor Appointment, Clermont Auvergne University, France.Ā šŸŽ“
  • 2016: PhD Completion, Mathematical Analysis of PDEs, University Clermont Auvergne.Ā šŸ†
  • 2012: Research Internship Excellence Award, University of Bordeaux.Ā šŸŒŸ
  • 2011: Best Project in Mathematical Modelling for Resource Management, University of Bordeaux.Ā šŸ…

Publoication Top Notes

  1. On the solutions for a nonlinear boundary value problem modeling a proliferating cell population with inherited cycle lengthĀ – AM Al-Izeri, K Latrach,Ā Nonlinear Analysis: Theory, Methods & ApplicationsĀ 143, 1-18, Cited by 6, 2016Ā šŸ“˜šŸ§¬
  2. Well-posedness of a nonlinear model of proliferating cell populations with inherited cycle lengthĀ – ALI Abdul-Majeed, K Latrach,Ā Acta Mathematica ScientiaĀ 36 (5), 1225-1244, Cited by 5, 2016Ā šŸ“ŠšŸ§«
  3. Nonlinear semigroup approach to transport equations with delayed neutronsĀ – ALI Abdul-Majeed, K Latrach,Ā Acta Mathematica ScientiaĀ 38 (6), 1637-1654, Cited by 3, 2018Ā šŸ”¬ā³
  4. A nonlinear age-structured model of population dynamics with inherited propertiesĀ – AM Al-Izeri, K Latrach,Ā Mediterranean Journal of MathematicsĀ 13, 1571-1587, Cited by 3, 2016Ā šŸŒ±šŸ”¢
  5. On the asymptotic spectrum of a transport operator with elastic and inelastic collision operatorsĀ – AM Al-Izeri, K Latrach,Ā Acta Mathematica ScientiaĀ 40, 805-823, Cited by 2, 2020Ā šŸ”šŸ”„
  6. A note on fixed point theory for multivalued mappingsĀ – AM Al-Izeri, K Latrach,Ā Fixed Point TheoryĀ 24 (1, 2023), 233-240, Cited by 1, 2023Ā šŸ“šŸ“

 

Mohammadreza Mahmoudi | Data Science | Best Researcher Award

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Dr. Mohammadreza Mahmoudi | Data Science | Best Researcher Award

Professor, Fasa University, IranĀ 

Dr. Mohammadreza Mahmoudi is an esteemed researcher with a robust background in mathematical statistics and applied probability. His contributions span several impactful projects, including advanced statistical methods and applications in diverse fields. His research excellence and distinguished academic career make him a strong candidate for the Best Researcher Award.

Professional Profile:

Scopus

Summary of Suitability for the Research for Best Researcher Award:Ā 

Dr. Mohammadreza Mahmoudi stands out as a prime candidate for the Best Researcher Award due to his exceptional contributions to mathematical statistics and applied probability. His extensive research on periodograms, statistical properties of simple processes, and advanced non-parametric methodologies demonstrates a deep expertise in his field. Dr. Mahmoudi’s accolades, including being a top student at all levels of his education and his role as an Advisory Board Member of ScienceVier Canada, underscore his recognition and influence in statistical research. His robust teaching experience and impactful projects further solidify his suitability for this prestigious award, highlighting his dedication to advancing statistical science and education.

šŸŽ“Education:

Dr. Mahmoudi completed his Ph.D. in Mathematical Statistics (Applied Probability) from Shiraz University in 2016, following a Master of Science in Mathematical Statistics and a Bachelor of Science in Statistics from the same institution. His educational journey reflects a profound commitment to advancing statistical science.

šŸ¢Work Experience:

Dr. Mahmoudi has served as a researcher and educator in statistical methodologies, specializing in areas such as time series analysis, stochastic processes, and nonparametric methodologies. He has been actively involved in teaching a broad range of statistical courses at Shiraz University and has contributed to several high-impact research projects.

šŸ†Awards and Grants:

Dr. Mahmoudi has been recognized as a top student during his Ph.D., M.Sc., and B.Sc. periods at Shiraz University. He has also been elected as an Advisory Board Member of ScienceVier Canada, showcasing his expertise and influence in the field of statistics.

Publication Top Notes:

  1. “Machine learning models for predicting interactions between air pollutants in Tehran Megacity, Iran”
    • Year: 2024
    • Journal: Alexandria Engineering Journal
  2. “Solving optimal control problems governed by nonlinear PDEs using a multilevel method based on an artificial neural network”
    • Year: 2024
    • Journal: Computational and Applied Mathematics
  3. “The removal of methylene blue from aqueous solutions by polyethylene microplastics: Modeling batch adsorption using random forest regression”
    • Year: 2024
    • Journal: Alexandria Engineering Journal
  4. “Meteorological Drought Prediction Based on Evaluating the Efficacy of Several Prediction Models”
    • Year: 2024
    • Journal: Water Resources Management
  5. “Spatial and temporal assessment and forecasting vulnerability to meteorological drought”
    • Year: 2024
    • Journal: Environment, Development and Sustainability
  6. “Assessment of Continuity Changes in Spatial and Temporal Trend of Rainfall and Drought”
    • Year: 2023
    • Journal: Pure and Applied Geophysics
  7. “Using the multiple linear regression based on the relative importance metric and data visualization models for assessing the ability of drought indices”
    • Year: 2023
    • Journal: Journal of Water and Climate Change
  8. “Dryland farming wheat yield prediction using the Lasso regression model and meteorological variables in dry and semi-dry region”
    • Year: 2023
    • Journal: Stochastic Environmental Research and Risk Assessment
  9. “Cyclic clustering approach to impute missing values for cyclostationary hydrological time series”
    • Year: 2023
    • Journal: Quality and Quantity
  10. “Statistical and Mathematical Modeling for Predicting Caffeine Removal from Aqueous Media by Rice Husk-Derived Activated Carbon”
    • Year: 2023
    • Journal: Sustainability (Switzerland)

 

 

Prof. Hong bin Xia | Recommender system | Best Researcher Award

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Prof. Hong bin Xia | Recommender system | Best Researcher Award

Prof. Hong bin Xia | Jiangnan University | China

Prof. Hongbin Xia, a distinguished professor at Jiangnan University šŸŽ“, excels in natural language processing, personalized recommendation systems, network optimization, and digital media technology, including digital twins and 3D virtual simulation. He teaches Software Engineering and Human-Computer Interaction Technology šŸ“š. Dr. Xia has authored over 40 academic papers in prestigious journals and conferences šŸ“ and led numerous national and enterprise research projects, securing significant funding. His accolades include multiple Science and Technology Awards šŸ† and notable teaching honors. As a mentor, he has guided students to remarkable successes in competitions and received several Excellent Instructor awards šŸ‘Øā€šŸ«. Prof. Xia actively participates in professional committees and provides technical consultancy, further showcasing his expertise and commitment to advancing his field šŸ“ˆ.

šŸŒ Professional Profile:

Scopus

šŸ« Academic Position

Professor, Jiangnan University
Dr. Hongbin Xia holds a prominent position as a professor at Jiangnan University, where he imparts knowledge and fosters innovation in the fields of natural language processing, personalized recommendation systems, network optimization, and digital media technology, including digital twins and 3D virtual simulation.

šŸ“š Courses Taught

  • Software Engineering
  • Human-Computer Interaction Technology

šŸ“ Research Contributions

Dr. Xia has an impressive portfolio of over 40 academic papers published in esteemed journals and conferences such as “Complex & Intelligent Systems,” “Systems Engineering and Electronic Technology,” “Pattern Recognition and Artificial Intelligence,” and the “Journal of Chinese Information Technology.” His work includes more than 10 SCI/EI indexed publications.

šŸ”¬ Research and Projects

  • National Key R&D Projects: Presided over sub-projects and participated in the 2030 national science and technology major project, achieving significant results.
  • Enterprise Projects: Led over 30 projects, receiving more than 8 million yuan and utilizing over 5.5 million yuan for personal research.

šŸ† Awards and Honors

  • Science and Technology Awards: Special Award and First Prize of Science and Technology from the China Federation of Commerce, Ministry of Education’s Science and Technology Achievement Award, and the Science and Technology Innovation Award from the China Light Industry Federation.
  • Teaching Awards: Jiangsu Provincial Teaching Achievement Award (Second Prize, 2018), Best Teaching Award of Jiangnan University, Huawei Teaching Award (2022), and “Teacher of Pillars” by the Ministry of Education-Huawei Intelligent Base.

šŸ‘Øā€šŸ« Student Mentorship

Dr. Xia has guided students to remarkable achievements, including:

  • Bronze Medal at the ACM International Collegiate Programming Competition (ICPC)
  • First and Second Prizes in the national finals of digital media science and technology works
  • Excellent Instructor awards

šŸ“ˆ Professional Activities

  • Committee Memberships: Member of the Jiangsu Provincial Network and Distributed Computing Special Committee and the Jiangsu Provincial Characteristic Software Talent Training Special Committee.
  • Technical Consultancy: Provided expertise to the Wuxi Municipal Health Commission (2009-2020), Hengli Co., Ltd. (2016-2018), and Jiangsu Hualywood Investment Co., Ltd. (2021-present).
  • Journal Reviewer and Expert Evaluator: Reviewer for journals like “Complex & Intelligent Systems” and “Pattern Recognition and Artificial Intelligence,” and an expert in the fifth round of discipline evaluation (computer science and technology) by the Ministry of Education.

Publication Top Notes:

  • CMC-MMR: multi-modal recommendation model with cross-modal correction
    • Year: 2024
    • Journal: Journal of Intelligent Information Systems
  • Social Recommendation Model Based on Self-Supervised Graph Masked Neural NetworksĀ 
    • Year: 2023
    • Journal: Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence
  • Unexpected interest recommender system with graph neural network
    • Year: 2023
    • Journal: Complex and Intelligent Systems
  • Multi-feature Fusion Based Short Session Recommendation Model | 多ē‰¹å¾čžåˆēŸ­ä¼ščƝęŽØ荐ęؔ型
    • Year: 2023
    • Journal: Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence
  • Local and Global Feature Fusion Network Model for Aspect-Based Sentiment Analysis
    • Year: 2023
    • Journal: Journal of Frontiers of Computer Science and Technology