Assoc Prof Dr. Shaohua Wu | Innovative Leadership | Best Researcher Award

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Assoc Prof Dr. Shaohua Wu | Innovative Leadership | Best Researcher Award

Dalian University of Technology, China

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🎓 Early Academic Pursuits

Shaohua Wu began his academic journey at Tianjin University, where he earned a B.S. in Thermal Energy and Dynamic Engineering (2007-2011) and later completed an M.A. in Power Machinery and Engineering (2011-2013). His early academic foundation laid the groundwork for his deep engagement with energy systems and thermodynamics. His education was marked by honors, such as receiving the Best Master Thesis Award in 2014.

Wu further pursued a Ph.D. at the National University of Singapore (NUS) (2015-2018), under the supervision of Prof. Wenming Yang, with a joint doctoral training at the University of Cambridge (2016-2018) under Prof. Markus Kraft and Dr. Jethro Akroyd. This dual-institution experience provided him with a solid interdisciplinary foundation in mechanical and chemical engineering.

💼 Professional Endeavors

Shaohua Wu has held various academic positions, starting as a Research Associate at Cambridge CARES (2018-2019) before becoming a Research Fellow at NUS (2019-2020). In 2021, he took on the role of Associate Professor at Dalian University of Technology, where he currently leads the Multiphase Flow Group as a principal investigator. His leadership in this role has allowed him to mentor over 10 researchers, contributing to high-fidelity numerical algorithms and AI-driven multiscale simulations for propulsion and power systems.

🔬 Contributions and Research Focus

Wu’s research spans first-principles-based modeling and simulation of reactive flows, including combustion, multiphase flows, and their multiscale interactions. He specializes in Computational Fluid Dynamics (CFD) and population balance modeling (PBM), and has integrated machine learning algorithms into these fields for predictive and computational efficiency. Some of his key research topics include:

Multiphase systems in propulsion and power generation (reciprocating engines, gas turbines).
AI-driven multivariate PBM for predicting particle behavior.
Chemical kinetics simulation using AI for mechanism construction and reduction.

🌍 Impact and Influence

Shaohua Wu’s work has had a significant impact on the fields of combustion, particle dynamics, and energy system optimization. His development of next-generation simulation software, such as the Kinetics & SRM Engine Suite, has been used for optimizing internal combustion engines and reactors. He has also contributed to soot particle modeling and reduction technologies that help lower emissions in various energy sectors. With numerous patents, his innovations extend to real-world applications, such as vehicle exhaust purification devices and ABS braking systems for motorcycles.

📖 Academic Citations

Shaohua Wu’s work has been widely recognized and cited in leading journals, including Journal of Aerosol Science, Energy and AI, Applied Energy, and Chemical Engineering Science. His contributions to reactive flow simulations, particle dynamics, and CFD have earned him a notable presence in the academic community, particularly through high-impact publications and as a reviewer for prestigious journals.

💻 Technical Skills

Wu is highly proficient in a range of programming languages (Fortran, C/C++, Python, MATLAB) and commercial/open-source software (ANSYS Fluent, OpenFOAM, CHEMKIN, KIVA). His expertise extends to mathematics and statistical algorithms for CFD, machine learning, and optimization, with experience in:

Deep learning algorithms (CNN, RNN, GAN, GNN, PINN)
CFD-related algorithms (Finite Volume Method, Multigrid method, SIMPLE algorithm)
Optimization algorithms (Genetic Algorithm, Particle Swarm Optimization)

🎓 Teaching Experience

With over six years of teaching, Shaohua Wu has lectured extensively at the Dalian University of Technology, focusing on courses such as Engineering Thermodynamics, Computational Fluid Dynamics (CFD), and Big Data and Machine Learning in Energy. His dedication to teaching has earned him excellent student ratings. He also taught and assisted courses at NUS, such as Heat and Mass Transfer and Numerical Algorithms for Scientific Computing.

🏆 Legacy and Future Contributions

Shaohua Wu has made substantial strides in particle dynamics, population balance modeling, and the AI-driven simulation of reactive flows, contributing to both academic and industrial advancements. His future work aims to integrate AI with CFD to develop smarter, more efficient energy and propulsion systems, focusing on energy sustainability. Wu’s efforts in deep learning-based chemical kinetics could revolutionize fuel modeling and lead to cleaner combustion technologies.

With his current projects, including research on soot particle dynamics and deep learning-driven solvers, Shaohua Wu is poised to make lasting contributions to energy research, helping drive the development of more sustainable energy technologies.

📝Notable Publications

Selective catalytic reduction of nitric oxide with ammonia over zirconium-doped copper/ZSM-5 catalysts

Authors: F Bin, C Song, G Lv, J Song, S Wu, X Li
Journal: Applied Catalysis B: Environmental
Volume: 150
Pages: 532-543
Year: 2014

Extension of moment projection method to the fragmentation process

Authors: S Wu, EKY Yapp, J Akroyd, S Mosbach, R Xu, W Yang, M Kraft
Journal: Journal of Computational Physics
Volume: 335
Pages: 516-534
Year: 2017

Three-dimensional MP-PIC simulation of the steam gasification of biomass in a spouted bed gasifier

Authors: S Yang, F Fan, Y Wei, J Hu, H Wang, S Wu
Journal: Energy Conversion and Management
Volume: 210
Pages: 112689
Year: 2020

A moment projection method for population balance dynamics with a shrinkage term

Authors: S Wu, EKY Yapp, J Akroyd, S Mosbach, R Xu, W Yang, M Kraft
Journal: Journal of Computational Physics
Volume: 330
Pages: 960-980
Year: 2017

Numerical study on the effective utilization of high sulfur petroleum coke for syngas production via chemical looping gasification

Authors: Z Li, H Xu, W Yang, S Wu
Journal: Energy
Volume: 235
Pages: 121395
Year: 2021

Dr. Pin Ma | Innovative Leadership | Best Researcher Award

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Dr. Pin Ma | Innovative Leadership | Best Researcher Award

Ningxia University, China 

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Early Academic Pursuits 🎓

Pin Ma began his academic journey with a Bachelor of Science (B.S.) in Material Physics from Qingdao University of Science & Technology, where he graduated at the top of his class (GPA: 3.83, rank 1/69) in 2013. His outstanding academic performance during his undergraduate years laid a solid foundation for his future research in material science. From there, he pursued a Master of Engineering (M.E.) in Materials Engineering at the Key Laboratory of Photochemistry, Institute of Chemistry, Chinese Academy of Sciences, under the mentorship of Professor Yuan Lin. He achieved an impressive GPA of 3.74, which reflected his deep understanding of materials science and engineering principles. His early research in this period was focused on material physics and engineering, which later paved the way for his work on energy storage and nanomaterials.

In 2016, he began his Ph.D. studies in Physical Chemistry at the same institution under Professor Yuan Lin, where he deepened his research into advanced materials, particularly in energy storage systems and photochemistry. He was driven by the desire to find sustainable and efficient solutions for the growing global energy demand. His research during his Ph.D. contributed significantly to the development of innovative materials with applications in energy storage and electrochemical systems.

Professional Endeavors and Contributions 👨‍🔬

Pin Ma’s professional career took off after completing his Ph.D. in 2019. He began a postdoctoral position at the Singapore University of Technology and Design and Shenzhen University, where he worked under the guidance of Professor Huiying Yang and Professor Yumeng Shi. During this period, he focused on cutting-edge research in materials science, particularly in the development of MXene-based materials and sodium-ion batteries. These materials have shown tremendous potential in enhancing energy storage capacities, which is crucial for the future of renewable energy technologies.

In 2023, he took on the role of Associate Professor at Ningxia University. Here, his research has been centered on advanced energy storage systems, particularly the development of stress-release layers on Si nanoparticles for high-performance lithium storage and MXene nanostructures for sodium-ion batteries. His work is particularly focused on creating sustainable and efficient solutions to the energy challenges faced by modern society.

Research Focus 🔬

Pin Ma’s research primarily revolves around energy storage systems, advanced nanomaterials, and electrochemical properties of novel materials. His notable work includes the development of Si nanoparticle-based systems for lithium storage and MXene-based materials for sodium-ion storage, both of which are pivotal in the advancement of battery technologies. His research has contributed significantly to improving the performance, stability, and efficiency of these storage systems, making them more viable for large-scale applications.

In addition, his work on ionic liquid-based gel electrolytes and the surface chemistry of nanoparticles has opened new doors for improving the performance of dye-sensitized solar cells and other electrochemical devices. His research has been published in high-impact journals such as Journal of Alloys and Compounds, Advanced Science, and ACS Applied Materials & Interfaces, underscoring the scientific community’s recognition of his contributions.

Accolades and Recognition 🏆

Throughout his career, Pin Ma has earned numerous accolades for his research. His publications have received widespread recognition in the academic community, and he is frequently cited for his groundbreaking work on nanomaterials and energy storage systems. Some of his notable research publications include his work on the self-assembly of 2D VS₂/Ti₃C₂Tx MXene nanostructures, published in Advanced Science, and the capacitive deionization technology he helped develop, published in Desalination. His work on sodium-ion batteries and the confinement of Co₄S₃ nanoparticles for energy storage in ACS Applied Materials & Interfaces has also gained significant attention.

In addition to his academic accomplishments, Pin Ma has co-authored several collaborative research projects that involve international teams. His contributions to these projects have helped push forward new methods of energy storage and have positioned him as a leader in his field.

Impact and Influence 🌍

Pin Ma’s research has far-reaching implications in the fields of energy storage and material science. His work on improving the efficiency and sustainability of energy storage systems is crucial for the ongoing transition to renewable energy sources. The technologies he has helped develop are particularly important in addressing global challenges such as climate change and the need for sustainable energy solutions.

His influence is also seen through the numerous citations and collaborations he has been involved in, working alongside other leading researchers in material science. His contributions to the development of MXene-based materials and novel electrolytes have set the stage for the next generation of energy storage devices, which will be more efficient, reliable, and scalable for industrial applications.

Legacy and Future Contributions 🌱

As Pin Ma continues his role as an Associate Professor at Ningxia University, his legacy will undoubtedly be marked by his innovative contributions to the fields of material science and energy storage. His research on stress-release layers for lithium storage and MXene nanostructures for sodium-ion batteries are likely to be further explored and developed by future researchers. Additionally, his work on improving the conductivity of gel electrolytes and nanostructured materials will have a lasting impact on the design of next-generation energy devices.

In the future, Pin Ma is poised to lead new research initiatives that could reshape the way energy is stored and utilized globally. His commitment to addressing environmental and energy challenges ensures that his work will remain relevant for years to come, contributing to a more sustainable future.

Notable Publications

Constructing 1D/2D NiCo-LDH Nanowire/MXene Composites for Efficient And Stable Lithium Storage

Journal: Advanced Materials Interfaces
Year: 2024

Cationic segregation of Ca₂Mn₃O₈ enabling high selectivity for fluoride ions through capacitive deionization

Journal: Desalination
Year: 2023

Co₄S₃ Nanoparticles Confined in an MnS Nanorod-Grafted N, S-Codoped Carbon Polyhedron for Highly Efficient Sodium-Ion Batteries

Journal: ACS Applied Materials & Interfaces
Volume: To be confirmed (2023)
Year: 2023

Self-Assembled 2D VS₂/Ti₃C₂Tₓ MXene Nanostructures with Ultrafast Kinetics for Superior Electrochemical Sodium-Ion Storage

Authors:
Journal: Advanced Science
Year: 2023

Highly efficient and stable ionic liquid-based gel electrolytes

Journal: Nanoscale
Year: 2021

 

Prof Dr. Genggeng Liu | Innovative Leadership | Best Researcher Award |} 2825

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Prof Dr. Genggeng Liu | Innovative Leadership | Best Researcher Award

Prof Dr. Genggeng Liu, Fuzhou University, China

🔗 Professional Profiles

🎓 Academic Qualifications

  • Ph.D. in Mathematics and Computer Science, Fuzhou University, China
    Sep. 2009 – Mar. 2015
  • B.S. in Mathematics and Computer Science, Fuzhou University, China
    Sep. 2005 – Jul. 2009

👨‍🏫 Academic Positions

  • Full Professor, College of Computer and Data Science, Fuzhou University
    Sep. 2023 – present
  • Associate Professor, College of Computer and Data Science, Fuzhou University
    May. 2021 – Sep. 2023
  • Associate Professor, College of Mathematics and Computer Science, Fuzhou University
    Jul. 2018 – May. 2021
  • Lecturer, College of Mathematics and Computer Science, Fuzhou University
    Jul. 2015 – Jul. 2018

🏅 Honors & Recognitions

  • Fujian Outstanding Young Scholars
  • Fujian High Level Talents (C-Level)

📚 Selected Publications

  • Fault-Tolerance-Oriented Physical Design for Fully Programmable Valve Array Biochips
    G. G. Liu, Y. H. Zhu, W. Z. Guo, and X. Huang
    Proceedings of ACM/IEEE Design Automation Conference (DAC), 2023, pp. 1-6.
  • Control-Logic Synthesis of Fully Programmable Valve Array Using Reinforcement Learning
    X. Huang, H. Y. Cai, W. Z. Guo, G. G. Liu, T.-Y. Ho, K. Chakrabarty, and U. Schlichtmann
    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), vol. 43, no. 1, pp. 277-290, 2024.
  • Design Automation for Continuous-Flow Microfluidic Biochips: A Comprehensive Review
    G. G. Liu, H. B. Huang, Z. S. Chen, H. X. Lin, H. Liu, X. Huang, and W. Z. Guo
    Integration-the VLSI Journal (INTEGRATION), vol. 82, pp. 48-66, 2022.
  • Adaptive Control-Logic Routing Flow for Fully Programmable Valve Array Using Deep Reinforcement Learning
    H. Y. Cai, G. G. Liu*, W. Z. Guo, Z. P. Li, T.-Y. Ho, and X. Huang
    Asia and South Pacific Design Automation Conference (ASP-DAC), 2024, pp. 564-569.
  • Towards Automated Testing of Multiplexers in Fully Programmable Valve Array Biochips
    G. G. Liu, Y. Q. Zeng, Y. H. Zhu, H. Y. Cai, W. Z. Guo, Z. P. Li, T.-Y. Ho, and X. Huang

Dr. Genggeng Liu is a prominent figure in the field of computer and data science, particularly known for his contributions to the design and automation of microfluidic biochips. His work has significantly advanced fault-tolerant design and control-logic synthesis, employing cutting-edge techniques such as reinforcement learning. Dr. Liu’s research has been recognized through prestigious publications and numerous awards, underscoring his impact on the academic and scientific community.

Publication Top Noted

Paper Title : Multilayer obstacle-avoiding X-architecture Steiner minimal tree construction based on particle swarm optimization

    • Authors: Genggeng Liu, Xing Huang, Wenzhong Guo, Yuzhen Niu, Guolong Chen
    • Journal: IEEE Transactions on Cybernetics
    • Year: 2015
    • Citations : 97

Paper Title : A PSO-based timing-driven Octilinear Steiner tree algorithm for VLSI routing considering bend reduction

    • Authors:Genggeng Liu, Wenzhong Guo, Yuzhen Niu, Guolong Chen, Xing Huang
    • Journal: Soft Computing 
    • Year: 2015
    • Citations:  87

Paper Title : A unified algorithm based on HTS and self-adapting PSO for the construction of octagonal and rectilinear SMT

    • Authors: Genggeng Liu, Zhisheng Chen, Zhen Zhuang, Wenzhong Guo, Guolong Chen
    • Journal: Soft Computing
    • Year: 2020
    • Citations:  85

Paper Title :Obstacle-avoiding algorithm in X-architecture based on discrete particle swarm optimization for VLSI design

    • Authors: He, X.-H., Shi, Y.-Y., Zhou, X.-L., …, Zhang, Z.-K., Huang, Q.-C.
    • Journal: ACM Transactions on Design Automation of Electronic Systems (TODAES)
    • Year: 2015
    • Citations: 70

Paper Title : A hybrid multi-objective PSO algorithm with local search strategy for VLSI partitioning

    • Authors: Wenzhong Guo, Genggeng Liu, Guolong Chen, Shaojun Peng
    • Journal: Frontiers of Computer Science
    • Year: 2014
    • Citations: 58

Nana Zhang-Innovative Leadership-Best Researcher Award

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Assist Prof Dr. Nana Zhang-Innovative Leadership-Best Researcher Award

Xian Jiaotong University-China

Author Profile 

Early Academic Pursuits

Zhang Nana embarked on her academic journey at Shaanxi University of Traditional Chinese Medicine, where she pursued a Bachelor of Clinical Medicine, graduating in 2015. This foundational education provided her with a robust understanding of clinical medicine and traditional Chinese medical practices. During her undergraduate years, she demonstrated an exceptional aptitude for medical sciences, which set the stage for her future endeavors in pathology and pathophysiology.

In 2016, Zhang Nana began her doctoral studies at Xi'an Jiaotong University, specializing in Pathology and Pathophysiology. Her PhD program was rigorous, demanding extensive research and a deep dive into chronic inflammatory diseases and novel therapeutic approaches. She completed her doctorate in 2020, equipping her with advanced knowledge and research capabilities in her field.

Professional Endeavors

Upon earning her PhD, Zhang Nana joined the Institute of Regenerative and Reconstructive Medicine at the MED-X Research Institute, affiliated with the First Affiliated Hospital of Xi'an Jiaotong University, as an Assistant Researcher. Since 2020, she has been actively involved in pioneering research focused on chronic inflammatory diseases and the development of innovative physical therapies for malignant tumors.

Her role involves spearheading research projects that explore and develop new physical therapy technologies. Zhang Nana's work in this capacity has led to significant advancements in physical therapy modalities, directly contributing to improved patient care protocols. Her dedication to research and development has established her as a key figure in the field of regenerative and reconstructive medicine.

Contributions and Research Focus

Zhang Nana's research primarily revolves around chronic inflammatory diseases and the therapeutic potential of physical treatments for malignant tumors. As the Principal Investigator of the National Project on Reversal of PD-1 Inhibitor Resistance by Irreversible Electroporation-Transformed Immunophenotyping in Pancreatic Cancer, funded by the National Natural Science Foundation of China, she is working on groundbreaking methods to combat cancer. This project, spanning from January 2023 to December 2025, aims to enhance the efficacy of PD-1 inhibitors in treating pancreatic cancer by using irreversible electroporation to remodel the tumor immune microenvironment.

Additionally, Zhang Nana leads a Provincial Project funded by the Natural Science Basic Research Program of Shanxi Province, which focuses on using irreversible electroporation to target pancreatic cancer stem cells with PD-1 inhibitors. This project ran from January 2022 to December 2023 and has provided valuable insights into the tumor immune microenvironment and the role of cancer stem cells in therapy resistance.

As a Co-Investigator, she has participated in three significant national key R&D plan projects that concentrate on the development of new medical technologies and devices, showcasing her versatility and collaborative spirit in advancing medical research.

Accolades and Recognition

Zhang Nana's contributions to the field have not gone unnoticed. She has published ten SCI-indexed papers as the first author and corresponding author, in addition to co-authoring three more. These publications have cemented her reputation as a leading researcher in her domain. Furthermore, she holds a utility model patent for a convenient tissue antigen retrieval pressure cooker (ID: ZL 2020 2 1046772.6), granted in June 2020, highlighting her innovative approach to solving practical problems in medical research.

Impact and Influence on Innovative Leadership

Zhang Nana's work has had a profound impact on the field of pathology and pathophysiology. Her research into chronic inflammatory diseases and the development of new physical therapy technologies has not only advanced scientific knowledge but also translated into tangible improvements in clinical practices. By enhancing the efficacy of treatments for malignant tumors, she has significantly contributed to patient care and outcomes.

Her efforts in developing new medical technologies have also influenced the broader medical community, encouraging the adoption of novel approaches and techniques in research and clinical settings. As a member of several prestigious professional affiliations, including the Center for Regenerative and Reconstructive Medicine and the National Local Joint Engineering Research Center for Precision Surgery & Regenerative Medicine, Zhang Nana continues to shape the future of medical research and practice in China.

Legacy and Future Contributions

Looking forward, Zhang Nana is poised to make even greater contributions to the field. Her ongoing projects and future research endeavors promise to further unravel the complexities of chronic inflammatory diseases and cancer treatment. By continuing to explore innovative therapies and technologies, she aims to pave the way for more effective and less invasive treatments, ultimately improving the quality of life for patients.

Her legacy will likely be defined by her relentless pursuit of knowledge, her innovative spirit, and her commitment to advancing medical science. As she continues to mentor young researchers and collaborate with peers, Zhang Nana will undoubtedly leave an indelible mark on the field, inspiring future generations to follow in her footsteps.

Furthermore, innovative leadership is not just about generating ideas but also about executing them effectively. It requires strategic thinking, adaptability, and a willingness to navigate uncertainty. Successful innovative leaders empower their teams to take calculated risks, learn from failures, and iterate rapidly. They leverage technology and data-driven insights to make informed decisions and stay ahead of market trends. Ultimately, innovative leadership is about driving transformation and creating value by harnessing the full potential of people and resources in a constantly evolving landscape.

Conclusion

In summary, Zhang Nana's journey from an undergraduate student to a leading researcher in pathology and pathophysiology is marked by her dedication, innovation, and significant contributions to medical science. Her work has not only advanced the understanding and treatment of chronic inflammatory diseases and malignant tumors but also set new standards for research and clinical practice. As she continues her research and collaborations, Zhang Nana's impact on the field will only grow, solidifying her legacy as a pioneer in medical research and therapy development.

Innovative leadership is a dynamic approach to guiding teams and organizations toward groundbreaking solutions and novel ideas. It involves fostering an environment where creativity is encouraged, risks are seen as opportunities for growth, and traditional boundaries are challenged. Innovative leaders are visionaries who inspire others to think outside the box, experiment with new methods, and embrace change as a catalyst for progress. They prioritize curiosity, collaboration, and continuous learning, recognizing that innovation often stems from diverse perspectives and interdisciplinary approaches.

Notable Publications