Zhang Zhang | Algorithms | Best Researcher Award

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Mr. Zhang Zhang | Algorithms | Best Researcher Award

Phd Student at Beijing Normal University, China📖

Zhang Zhang is a Ph.D. candidate in Complex Systems Analysis at Beijing Normal University, with visiting research experience at the University of California, San Diego, and the University of Padua. His research focuses on AI by Complexity, Machine Learning for Complex Systems, and Complex Networks. He has authored multiple high-impact papers and has received several prestigious awards for his academic excellence and contributions to network science.

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Education Background🎓

  • Ph.D. in Complex Systems Analysis, Beijing Normal University (2019–Present)
  • Visiting Ph.D. Student, University of California, San Diego (2023–2024)
  • Visiting Ph.D. Student, University of Padua (2022–2023)
  • B.A. in Information Security, Hangzhou Dianzi University (2013–2017)

Professional Experience🌱

  • Research Assistant, Beijing Normal University (2018–2019)
  • Teaching Experience: Taught Python Programming, Machine Learning, and Deep Learning Principles; developed online courses on deep learning with significant engagement.
  • Reviewer for Information Science and Neural Computing and Applications.
Research Interests🔬
  • AI by Complexity
  • Machine Learning for Complex Systems
  • Complex Networks

Author Metrics

  • Total Citations: 252
  • h-index: 7
  • Publications: Featured in Nature Communications, Applied Network Science, Physical Review E, and top AI/complex networks conferences.

Awards & Honors

  • First-Class Scholarship (2020, 2022, 2023) – Beijing Normal University
  • China Scholarship Council (CSC) Scholarship – National High-Level Joint Doctoral Training Program (2022)
  • Best Team Award – Mediterranean School of Complex Networks (2022)
Publications Top Notes 📄

1. The Cinderella Complex: Word embeddings reveal gender stereotypes in movies and books

  • Authors: H. Xu, Z. Zhang, L. Wu, C.J. Wang
  • Journal: PLOS One
  • Volume/Issue: 14(11)
  • DOI: 10.1371/journal.pone.0225385
  • Year: 2019
  • Citations: 89
  • Abstract: This study investigates how word embeddings reveal gender stereotypes in movies and literature, highlighting biases in linguistic representations over time.

2. A General Deep Learning Framework for Network Reconstruction and Dynamics Learning

  • Authors: Z. Zhang, Y. Zhao, J. Liu, S. Wang, R. Tao, R. Xin, J. Zhang
  • Journal: Applied Network Science
  • Volume/Issue: 4, 1-17
  • DOI: 10.1007/s41109-019-0184-x
  • Year: 2019
  • Citations: 64
  • Abstract: This paper presents a deep learning-based framework for reconstructing networks and learning their dynamics from time-series data, with applications in neuroscience and finance.

3. An Interpretable Deep-Learning Architecture of Capsule Networks for Identifying Cell-Type Gene Expression Programs from Single-Cell RNA-Sequencing Data

  • Authors: L. Wang, R. Nie, Z. Yu, R. Xin, C. Zheng, Z. Zhang, J. Zhang, J. Cai
  • Journal: Nature Machine Intelligence
  • Volume/Issue: 2(11), 693-703
  • DOI: 10.1038/s42256-020-00233-8
  • Year: 2020
  • Citations: 53
  • Abstract: This study introduces an interpretable deep-learning model using capsule networks to analyze gene expression patterns, improving accuracy in single-cell sequencing studies.

4. Universal Framework for Reconstructing Complex Networks and Node Dynamics from Discrete or Continuous Dynamics Data

  • Authors: Y. Zhang, Y. Guo, Z. Zhang, M. Chen, S. Wang, J. Zhang
  • Journal: Physical Review E
  • Volume/Issue: 106(3), 034315
  • DOI: 10.1103/PhysRevE.106.034315
  • Year: 2022
  • Citations: 20
  • Abstract: A theoretical framework to reconstruct network structures and node dynamics from both discrete and continuous data, providing insights into complex system behavior.

5. Inferring Network Structure with Unobservable Nodes from Time Series Data

  • Authors: M. Chen, Y. Zhang, Z. Zhang, L. Du, S. Wang, J. Zhang
  • Journal: Chaos: An Interdisciplinary Journal of Nonlinear Science
  • Volume/Issue: 32(1)
  • DOI: 10.1063/5.0071531
  • Year: 2022
  • Citations: 14
  • Abstract: A novel approach to infer hidden structures in dynamic networks where some nodes remain unobservable, with applications in neuroscience and social networks.

Conclusion

Zhang Zhang is an excellent candidate for the Best Researcher Award based on his strong academic contributions, international exposure, and impactful research in Complex Networks and AI by Complexity. His publication record, citations, and involvement in high-quality research collaborations position him as a highly deserving researcher. Strengthening his industry impact, increasing citations, and taking on more leadership roles in research projects would further solidify his case for this prestigious award.

Emine Baş | Optimization Algorithms | Best Researcher Award

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Assoc. Prof. Dr. Emine Baş | Optimization Algorithms | Best Researcher Award

Author at Konya Technical University, Turkey📖

Dr. Emine Baş is a dedicated researcher and academic specializing in optimization algorithms, artificial intelligence, data mining, and machine learning. With a strong foundation in computer engineering and extensive experience in higher education, she has significantly contributed to both academia and applied research.

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Education Background🎓

  • Bachelor’s Degree (2006): Computer Engineering, Selçuk University
  • Master’s Degree (2013): Computer Engineering, Selçuk University (Thesis: RFID System Implementation and Application)
  • Doctorate (2020): Computer Engineering, Konya Technical University (Thesis: Performance Improvements in Continuous and Discrete Optimization Problems Using the Social Spider Algorithm)

Professional Experience🌱

Dr. Baş has been an instructor at Selçuk University since 2007. Initially appointed to Huğlu Vocational School, she transitioned to Kulu Vocational School in 2015, where she continues to educate and mentor students. She also holds administrative roles, such as Deputy Head of the Computer Technologies Department and ECTS Coordinator.

Research Interests🔬

Dr. Baş’s research focuses on swarm intelligence, heuristic algorithms, continuous and discrete optimization problems, artificial intelligence, database systems, machine learning, and big data analytics. She leverages these technologies to address complex optimization challenges and enhance data-driven decision-making.

Author Metrics

Dr. Baş has published extensively in high-impact journals such as Soft Computing and Expert Systems with Applications. Her work has received numerous citations, demonstrating her influence in fields like optimization and algorithm development. Her notable publications include advancements in binary social spider algorithms and their applications in feature selection and optimization tasks.

Publications Top Notes 📄

1. An Efficient Binary Social Spider Algorithm for Feature Selection Problem

  • Authors: Emine Baş, E. Ülker
  • Journal: Expert Systems with Applications, Vol. 146, Article 113185
  • Publication Year: 2020
  • Citations: 63
  • Summary: This paper introduces a binary social spider algorithm (SSA) tailored for feature selection problems. It demonstrates improved efficiency in selecting relevant features for machine learning tasks while maintaining solution quality.

2. A Binary Social Spider Algorithm for Uncapacitated Facility Location Problem

  • Authors: Emine Baş, E. Ülker
  • Journal: Expert Systems with Applications, Vol. 161, Article 113618
  • Publication Year: 2020
  • Citations: 51
  • Summary: This study applies the binary SSA to the uncapacitated facility location problem, achieving better performance in terms of cost and computational efficiency compared to traditional optimization methods.

3. Binary Aquila Optimizer for 0–1 Knapsack Problems

  • Author: Emine Baş
  • Journal: Engineering Applications of Artificial Intelligence, Vol. 118, Article 105592
  • Publication Year: 2023
  • Citations: 28
  • Summary: This paper presents a novel binary variant of the Aquila optimizer, addressing the 0–1 knapsack problem with improved accuracy and computational efficiency.

4. A Binary Social Spider Algorithm for Continuous Optimization Task

  • Authors: Emine Baş, E. Ülker
  • Journal: Soft Computing, Vol. 24(17), pp. 12953–12979
  • Publication Year: 2020
  • Citations: 26
  • Summary: The research adapts the SSA for continuous optimization tasks, showcasing its potential to solve complex mathematical problems with higher precision.

5. Improved Social Spider Algorithm for Large-Scale Optimization

  • Authors: Emine Baş, E. Ülker
  • Journal: Artificial Intelligence Review, Vol. 54(5), pp. 3539–3574
  • Publication Year: 2021
  • Citations: 22
  • Summary: This paper enhances the SSA for large-scale optimization problems, improving scalability and convergence rates, particularly for applications with high-dimensional datasets.

Conclusion

Dr. Emine Baş exemplifies excellence in research, academic mentorship, and innovation. Her impactful contributions to optimization algorithms, artificial intelligence, and machine learning position her as a deserving candidate for the Best Researcher Award.

With a strong academic foundation, proven research capabilities, and a focus on solving complex real-world problems, she has laid a robust groundwork for continued contributions to the field. Addressing areas such as broader collaborations and industrial engagement would further elevate her profile as a global leader in optimization and AI.