Mr. José Maria Samuco | Maximizing Influence in Networks | Best Researcher Award

Mr. José Maria Samuco | Maximizing Influence in Networks | Best Researcher Award

Mr. José Maria Samuco, University of Aveiro, Portugal

Mr. José Maria Samuco is currently pursuing a Doctoral Program in Mathematics at the University of Aveiro, focusing on maximizing influence in networks. He holds a Master’s Degree in Mathematics and Applications from the University of Aveiro (2014), a Master’s Degree in Mathematics Teaching from the University of Porto (2006), and a Bachelor’s Degree in Mathematics from the University of Aveiro (1995). Mr. Samuco collaborates with the Center for Research & Development in Mathematics and Applications at the University of Aveiro and teaches differential and integral calculus at the Higher Polytechnic Institute of Technologies and Sciences in Luanda, Angola. His research interests include network and combinatorial optimization, particularly influence maximization using graph clustering techniques, with notable publications such as “A New Algorithm Framework for the Influence Maximization Problem Using Graph Clustering” in the journal Information (2024).

Professional Profile:

Orcid
Google Scholar

Suitability for the Award

Mr. José Maria Samuco is an excellent candidate for the Best Researcher Award due to the following reasons:

  1. Research Contributions:
    • His recent publication on influence maximization in networks demonstrates a significant contribution to the field of network optimization and graph clustering. This research is valuable for understanding and solving complex problems in combinatorial optimization and network theory.
  2. Academic Excellence:
    • Mr. Samuco’s educational background in mathematics and applications, combined with his ongoing doctoral studies, showcases his dedication to advancing knowledge in his field. His academic achievements and previous research underscore his expertise and commitment.
  3. Teaching Experience:
    • As an instructor at the Higher Polytechnic Institute of Technologies and Sciences, Mr. Samuco has demonstrated his ability to educate and mentor students in engineering mathematics. His teaching roles highlight his commitment to academic excellence and his ability to contribute to the development of future professionals.
  4. Professional Engagement:
    • His role as a collaborator at the Center for Research & Development in Mathematics and Applications aligns with his research interests and contributes to his professional growth. This position supports his involvement in cutting-edge research and further enhances his qualifications.

Summary of Qualifications:

  1. Educational Background:

    • Doctoral Program in Mathematics – University of Aveiro (current), focusing on maximizing influence in networks.
    • Master’s Degree in Mathematics and Applications – University of Aveiro, 2014.
    • Master’s Degree in Mathematics Teaching – University of Porto/Faculty of Sciences, 2006.
  2. Employment History:

    • Collaborator – Center for Research & Development in Mathematics and Applications, University of Aveiro (March 2023 – present).
    • Teacher – Higher Polytechnic Institute of Technologies and Sciences, Luanda, Angola (August 2015 – present), teaching differential and integral calculus in engineering programs.
  3. Research and Publications:

    • Journal Article:
      • A New Algorithm Framework for the Influence Maximization Problem Using Graph ClusteringInformation (2024). Co-authored with Agostinho Agra.
    • Dissertations/Theses:
      • Algoritmos de otimização contínua univariada (2014) – Master’s thesis.
      • A génese da geometria hiperbólica (2005) – Master’s thesis.
    • Research Interests:
      • Network and combinatorial optimization.
      • Influence maximization in networks using graph clustering techniques.

Conclusion

Mr. José Maria Samuco is a highly qualified candidate for the Best Researcher Award. His research on influence maximization in networks, coupled with his solid educational background and teaching experience, positions him as a significant contributor to the field of mathematics and operations research. His dedication to advancing knowledge and solving complex problems makes him a deserving recipient of this award.

 

 

 

Mr. Bocheng Zhao | Network post-processing | Best Researcher Award

Mr. Bocheng Zhao | Network post-processing | Best Researcher Award

Mr. Bocheng Zhao, Xidian University, China

Mr. Zhao is an Associate Professor at the School of Computer Science and Technology, Xidian University, where he leads research in interactive learning, deep reinforcement learning, and multi-objective game confrontation. With over 10 publications in prestigious international journals and conferences, his work showcases significant innovation and expertise in artificial intelligence and machine learning. Mr. Zhao actively contributes to the field through his roles in specialized committees, including the Human-Computer Interaction Specialized Committee of the CSIG and the Intelligent Command and Control Specialized Committee of the CCIC. His research interests and professional activities highlight his dedication to advancing AI technology and his influence within the scientific community.

Professional Profile:

Scopus
Google Scholar

Suitability for the Award

Mr. Bocheng Zhao is a strong contender for the Research for Best Researcher Award due to his significant contributions to the fields of AI and machine learning, particularly in areas that are at the forefront of current technological advancements. His active involvement in professional committees, coupled with his role as an associate professor at a leading institution, further solidifies his position as a leading researcher in his field.

Professional Role and Expertise:

Mr. Zhao is an Associate Professor at the School of Computer Science and Technology, Xidian University, indicating a leadership position in a prominent academic institution. His primary research areas include interactive learning, deep reinforcement learning, and multi-objective game confrontation. This expertise aligns well with cutting-edge research topics in artificial intelligence and machine learning.

Research Contributions:

Mr. Zhao has made substantial contributions to his field with over 10 publications in prestigious international journals and conferences. His work in interactive learning and reinforcement learning addresses complex problems and demonstrates a high level of research innovation and technical expertise.

Professional Memberships:

His involvement in specialized committees, such as the Human-Computer Interaction Specialized Committee of the CSIG and the Intelligent Command and Control Specialized Committee of the CCIC, highlights his active role in shaping the future of these research areas and his influence in the broader scientific community.

Research Interests:

His research interests in interactive learning, intelligent growth, and related fields reflect a focus on advancing knowledge and technology in significant areas of artificial intelligence. This aligns with the goals of the Research for Best Researcher Award, which seeks to recognize individuals making notable contributions to their fields.

Publication Top Notes:

  • Title: Parame: Regarding Neural Network Parameters as Relation Embeddings for Knowledge Graph Completion
    • Year: 2020
    • Cited by: 60
  • Title: Deep Imitator: Handwriting Calligraphy Imitation via Deep Attention Networks
    • Year: 2020
    • Cited by: 23
  • Title: Pen Tip Motion Prediction for Handwriting Drawing Order Recovery Using Deep Neural Network
    • Year: 2018
    • Cited by: 14
  • Title: Nonrigid Point Matching of Chinese Characters for Robot Writing
    • Year: 2017
    • Cited by: 12
  • Title: Image Hazing and Dehazing: From the Viewpoint of Two-Way Image Translation with a Weakly Supervised Framework
    • Year: 2022
    • Cited by: 5