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

Posted on by ScienceFather

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“

 

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

Posted on by ScienceFather

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

Prof. Gui Gui, Central South University, China

šŸŽ“ Prof. Gui Gui, a distinguished scholar šŸ“š hailing from Central South University šŸ‡ØšŸ‡³, boasts a stellar academic journey, culminating in a Ph.D. in Computer Science from the University of Essex šŸŽ“. As a Full Professor at the School of Automation, her expertise in artificial intelligence and big data systems šŸ¤– propels groundbreaking research, enriching the global academic landscape šŸ”¬. Beyond her role in academia, Gui Gui’s leadership šŸŒŸ and commitment to knowledge dissemination šŸŒ shape the future of computer science, inspiring generations of researchers and professionals.

šŸŒ Professional Profile:

Orcid

šŸŽ“ 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.

šŸ”¬ 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.

šŸ’¼ 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.

šŸŒ 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

 

 

 

 

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

Posted on by ScienceFather

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

 

 

 

 

Prof Dr. Vaneet Aggarwal | Machine Learning | Best Researcher Award

Posted on by ScienceFather

Prof Dr. Vaneet Aggarwal | Machine Learning | Best Researcher Award

Prof Dr. Vaneet Aggarwal, Purdue University, United States

Prof. Dr. Vaneet Aggarwal, an accomplished scholar with a Ph.D. in Electrical Engineering from Princeton University, is currently a distinguished faculty member at Purdue University. With a diverse academic background spanning machine learning, computational perception, and computer science, he has garnered recognition for his impactful contributions. šŸŒŸ His research interests encompass a wide array of cutting-edge fields, including reinforcement learning, generative AI, quantum machine learning, and federated learning. šŸ§  Through leadership roles in prestigious journals and institutions, such as ACM Journal of Transportation Systems and Purdue-TVS Advanced AI Program, he continues to drive innovation at the intersection of AI and various domains, ranging from networking to healthcare. šŸš€ Honored with accolades like the IEEE Communications Society William R. Bennett Prize and featured in esteemed publications like Nature and Axios News, Prof. Aggarwal’s work exemplifies excellence in advancing the frontiers of artificial intelligence. šŸ†

šŸŒ Professional Profile:

Google Scholar

Education

  • Ph.D. in Electrical Engineering, Princeton University, Princeton, New Jersey, July 2010
    • Thesis: Decisions in Distributed Wireless Networks with Imprecise Information
    • Minors: Machine Learning and Computational Perception, Computer Science
    • Advisor: Prof. A. Robert Calderbank
  • M.A. in Electrical Engineering, Princeton University, Princeton, New Jersey, June 2007
  • Bachelor of Technology in Electrical Engineering, Indian Institute of Technology, Kanpur, May 2005

Work Experience

  • Purdue University, West Lafayette, Jan. 2015 – Current: Faculty in the School of Industrial Engineering and Elmore Family School of Electrical and Computer Engineering
  • KAUST, Saudi Arabia, May 2022 – Aug 2023: Visiting Professor
  • IIIT Delhi, Jan 2022 – Mar 2023: Adjunct Professor
  • Plaksha University, Nov 2022 – Jan 2023: Adjunct Professor
  • Indian Institute of Science (IISc) Bangalore, May 2018 – Apr 2019: VAJRA Adjunct Faculty
  • AT&T Labs Research, NJ, Aug. 2010 – Dec. 2014: Senior Member of Technical Staff-Research
  • Columbia University, New York, NY, Aug. 2013 – Dec. 2014: Adjunct Assistant Professor

Key Leadership Experience

  • ACM Journal of Transportation Systems, co-Editor-in-Chief, 2022-Current
  • Director of Potential NSF AI Institute on Human-AI Decision Making at Scale, 2021-Aug 2022
  • Founding Technical Lead Purdue-TVS Advanced AI Program, 2021-Current
  • AI Thrust Lead in Purdue Center of Intelligent Infrastructures, 2019-Current

Honors & Awards

  • Purdue University Faculty Scholar Professor, 2024-Current
  • IEEE ComSoc Distinguished Lecturer for the class of 2024-2025
  • 2024 IEEE Communications Society William R. Bennett Prize
  • Featured on Axios News for paper [J176] in 2023
  • Featured on Cover of Nature for paper [J139] in 2023
  • NeurIPS Workshop Best Paper Award in 2021
  • Most Impactful Faculty Innovator, Purdue University in 2020
  • Infocom Workshop Best Paper Award in 2018

Research Interests:

Reinforcement Learning; Generative AI; Quantum Machine Learning; Federated Learning; Applications of ML in Networking, Transportation, Robotics, Manufacturing, Healthcare, and Biomedical.

Publication Top Notes:

  1. Title: Design and characterization of a full-duplex multiantenna system for WiFi networks
    • Journal: IEEE Transactions on Vehicular Technology
    • Citations: 665
    • Year: 2013
  2. Title: Efficient low rank tensor ring completion
    • Proceedings: Proceedings of the IEEE International Conference on Computer Vision
    • Citations: 192
    • Year: 2017
  3. Title: Wide compression: Tensor ring nets
    • Proceedings: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition
    • Citations: 180
    • Year: 2018
  4. Title: Prometheus: Toward quality-of-experience estimation for mobile apps from passive network measurements
    • Proceedings: Proceedings of the 15th Workshop on Mobile Computing Systems and Applications
    • Citations: 177
    • Year: 2014
  5. Title: Deeppool: Distributed model-free algorithm for ride-sharing using deep reinforcement learning
    • Journal: IEEE Transactions on Intelligent Transportation Systems
    • Citations: 159
    • Year: 2019