Prof Hongfang Zhou | Innovative Leadership | Best Researcher Award

Prof Hongfang Zhou | Innovative Leadership | Best Researcher Award

Xi’an University of Technology, China

Profile 

Scopus

🌟 Early Academic Pursuits

Dr. Zhou Hongfang’s academic journey began with her B.S. and M.S. degrees from Xi’an University of Technology in 1999 and 2002, respectively. Demonstrating exceptional academic prowess and an insatiable thirst for knowledge, she further pursued a Ph.D. at Xi’an Jiaotong University, which she earned in 2006. During her early years, she cultivated a deep interest in artificial computing and data science, laying the foundation for her illustrious career in academia and research.

💼 Professional Endeavors

Currently a Professor at Xi’an University of Technology, Dr. Zhou has dedicated her career to advancing the fields of artificial computing, heterogeneous information networks, and software theory. Her tenure has been marked by exceptional leadership in completing over 30 research projects, showcasing her ability to drive innovative solutions to complex problems. A distinguished member of the IEEE, Dr. Zhou has continually demonstrated her commitment to fostering interdisciplinary collaborations and mentoring future generations of researchers.

📊 Contributions and Research Focus

Dr. Zhou’s research interests center on data mining and knowledge discovery, with her work encompassing diverse applications and theoretical advancements. She has published over 50 SCI-indexed papers in prestigious journals such as Knowledge-Based Systems, Expert Systems with Applications, and Physica A. Her groundbreaking studies have provided significant insights into the computational complexities of data networks and artificial intelligence applications.

In addition to academic publishing, Dr. Zhou has also made substantial contributions to intellectual property, with 12 patents published and 6 more in progress. These innovations not only showcase her technical expertise but also underline her dedication to practical applications of research in solving real-world challenges.

🏆 Accolades and Recognition

Dr. Zhou’s research has garnered widespread recognition, positioning her as a leader in her field. Her contributions have enriched global academic discourse and informed practices in data science and artificial intelligence. As a recipient of numerous awards and invitations to esteemed conferences, Dr. Zhou’s work has been instrumental in elevating the global profile of her institution and her research field.

🌍 Impact and Influence

Dr. Zhou’s impact extends far beyond academia. Her research results have served as invaluable resources for fellow scholars, researchers, and industry professionals. The methodologies she has developed in heterogeneous information networks and data mining have been widely adopted, influencing both theoretical explorations and practical applications in various industries.

Through her active participation in professional organizations like IEEE, Dr. Zhou has contributed to shaping international standards and fostering collaborations between academia and industry. Her work has inspired countless researchers to pursue excellence in artificial computing and knowledge discovery.

📖 Legacy and Future Contributions

Looking ahead, Dr. Zhou remains committed to pushing the boundaries of data mining and artificial intelligence. She envisions leveraging emerging technologies like quantum computing and machine learning to tackle global challenges in healthcare, climate science, and beyond. Her ongoing projects aim to bridge gaps between theoretical research and practical implementation, further cementing her legacy as a pioneer in her field.

A Legacy of Excellence

Dr. Zhou Hongfang’s career is a testament to her unwavering dedication, intellectual curiosity, and passion for innovation. Her contributions to data mining, knowledge discovery, and artificial intelligence continue to make a profound impact, inspiring peers and paving the way for future advancements in these critical fields.

📝Notable Publications

PLEKv2: predicting lncRNAs and mRNAs based on intrinsic sequence features and the coding-net model

Authors: Li, A.; Zhou, H.; Xiong, S.; Hei, X.; Wang, L.

Journal: BMC Genomics

Year: 2024

Precise reconstruction of the entire mouse kidney at cellular resolution

Authors: Li, Y.; Cao, J.; Zhang, Q.; Li, A.; Jiang, T.

Journal: Biomedical Optics Express

Year: 2024

Feature selection based on weighted conditional mutual information

Authors: Zhou, H.; Wang, X.; Zhang, Y.

Journal: Applied Computing and Informatics

Year: 2024

PDR-SMOTE: an imbalanced data processing method based on data region partition and K nearest neighbors

Authors: Zhou, H.; Wu, Z.; Xu, N.; Xiao, H.

Journal: International Journal of Machine Learning and Cybernetics

Year: 2023

A diabetes prediction model based on Boruta feature selection and ensemble learning

Authors: Zhou, H.; Xin, Y.; Li, S.

Journal: BMC Bioinformatics

Year: 2023

Mrs. Elena Castaño Casco | Innovative Leadership | Best Researcher Award

Mrs. Elena Castaño Casco | Innovative Leadership | Best Researcher Award

Universidad de Huelva, Spain

Profile 

Scopus

🎓 Early Academic Pursuits

Elena Castaño Casco’s academic journey began in 2013 when she enrolled in the Faculty of Physics at the University of Seville. Over the course of five years, she developed a strong foundation in physics, graduating in 2018 with a solid understanding of the fundamental principles of the field. Her undergraduate studies were marked by a deep interest in astrophysics, culminating in a final year project titled “Estudio del UV-upturn en galaxias elípticas”. This project allowed her to apply her knowledge of Python to the analysis and interpretation of observational data from galaxies. Through this experience, Elena not only honed her programming skills but also gained valuable insights into the complexities of galaxy formation and evolution.

Recognizing the interdisciplinary nature of modern scientific research, Elena decided to further her education by pursuing a Master’s degree in Industrial Mathematics at the University of Santiago de Compostela. From 2019 to 2021, she immersed herself in advanced mathematical modeling techniques, achieving an impressive average grade of 8.59. Her master’s thesis, “Simulación de dispersión de gas Radón en entornos interiores”, demonstrated her ability to apply computational tools to real-world problems. Using ANSYS Fluent, she successfully modeled the behavior of radon gas in indoor environments, contributing to the broader understanding of environmental safety and public health.

💼 Professional Endeavors

Elena’s professional career has been characterized by a series of progressively responsible roles in both the private and academic sectors. Her journey began as a Junior Programmer at T-Systems in Granada, where she was part of the Public Cloud department, specifically focusing on Microsoft Azure. During her tenure from September 2021 to May 2022, Elena engaged in various tasks, including user creation, role management, cost estimation, and automation using PowerShell. This role provided her with a solid grounding in cloud computing, a skill set that would prove invaluable in her subsequent positions.

Following her time at T-Systems, Elena joined Deloitte in Sevilla as a Delivery Analyst. Between May and September 2022, she embarked on a rigorous training program in the Azure department, mastering C# programming, .NET development, and application hosting on Azure. Her involvement in a Python and PySpark project on Azure Databricks demonstrated her ability to leverage cutting-edge technologies for data ingestion tasks, further solidifying her expertise in cloud-based solutions.

In October 2022, Elena transitioned to academia, securing a position as a Research Support Technician at the University of Huelva. Here, she played a pivotal role in the EXRADON project, funded by the Spanish Nuclear Safety Council. Her work involved developing an experimental methodology and writing Python code to solve the physical equations related to radon exhalation from construction materials. This project not only advanced her research capabilities but also underscored her commitment to addressing critical environmental and safety issues through scientific inquiry.

🔬 Contributions and Research Focus

Elena’s research has primarily focused on the interaction between environmental factors and public health, particularly in the context of radon gas. Her work on the EXRADON project is a testament to her dedication to this area of study. By developing robust methodologies to measure radon exhalation rates and diffusion coefficients, she has contributed to a better understanding of the risks associated with radon exposure in various environments.

Her research output includes a significant publication in the prestigious journal Construction and Building Materials, titled “Development of a robust and precise methodology for the measurement of the radon diffusion coefficient in diverse materials”. This paper has garnered attention in the scientific community for its innovative approach to quantifying radon diffusion, offering practical solutions for mitigating radon-related hazards in construction materials.

🏆 Accolades and Recognition

Elena’s academic and professional achievements have not gone unnoticed. Her dedication to research and her ability to translate complex scientific concepts into practical applications have earned her recognition at various conferences. She has presented her work at prominent events such as SEFM-SERP 2023 in Oviedo, ENVIRA 2023 in Sevilla, and the XII JCCRA 2024 in Palma de Mallorca. Her presentations, delivered in both Spanish and English, have been well-received, highlighting her communication skills and her ability to engage with diverse audiences.

In addition to her conference presentations, Elena’s linguistic proficiency has also been recognized. She holds a Certificate in Advanced English (CAE) from the University of Cambridge, demonstrating her fluency in English at the C1 level. Furthermore, she has achieved the N5 level in the Japanese Language Proficiency Test (JLPT), showcasing her interest in and commitment to learning new languages.

🌍 Impact and Influence

Elena’s work has had a tangible impact on both the scientific community and the broader public. Through her research on radon gas, she has contributed to the development of safer building materials, thereby reducing the risk of radon exposure in residential and commercial settings. Her contributions have not only advanced the field of environmental physics but have also informed public policy and safety regulations, highlighting the practical implications of her work.

Moreover, Elena’s involvement in the EXRADON project has positioned her as a key figure in the field of environmental safety. Her work is likely to influence future research directions and contribute to the development of new standards and guidelines for radon measurement and mitigation.

🌟 Legacy and Future Contributions

Looking ahead, Elena Castaño Casco is poised to make even greater contributions to the fields of environmental physics and public health. As she continues her doctoral studies in Science and Industrial and Environmental Technology at the University of Huelva, her research will likely lead to new discoveries and innovations that address some of the most pressing challenges of our time.

Elena’s legacy will be one of scientific rigor, interdisciplinary collaboration, and a deep commitment to improving public safety through research. Her future work is expected to build on her current achievements, further solidifying her reputation as a leading expert in her field. With her strong foundation in physics, mathematics, and programming, Elena is well-equipped to tackle the complex problems of the future, leaving a lasting impact on both the scientific community and society at large.

Publications 

Development of a robust and precise methodology for the measurement of the radon diffusion coefficient in diverse materials

Authors: Castaño-Casco, E., Gutiérrez-Álvarez, I., Barba-Lobo, A., Bolívar, J.P.

Journal: Construction and Building Materials

Year: 2024

Dr. Subrata Sen | Innovative Leadership | Best Researcher Award

Dr. Subrata Sen | Innovative Leadership | Best Researcher Award

Department of Translational Molecular Pathology, University of Texas M.D. Anderson Cancer Center, United States 

Profile 

Google Scholar 

Early Academic Pursuits 📚

Dr. Subrata Sen’s journey in academia began with a strong foundation in the biological sciences, marked by his pursuit of a Bachelor of Science (B.S.) degree at the College of Science, Banaras Hindu University, Varanasi, India, in 1972. His academic curiosity led him to specialize in Botany, Zoology, and Chemistry. Dr. Sen’s passion for understanding the complexities of life at a cellular level grew during his Master of Science (M.S.) studies at the Center of Advanced Studies in Zoology at the same university, where he focused on Zoology with a specialization in Cytogenetics, graduating in 1974.

Dr. Sen’s academic journey culminated in a Ph.D. in Molecular Cytogenetics from Banaras Hindu University in 1980. His doctoral research laid the groundwork for his future contributions to the field of molecular pathology. After completing his Ph.D., Dr. Sen continued his academic pursuits as a University Research Scholar and Junior Research Fellow under Dr. T. Sharma at Banaras Hindu University. These early experiences in research and academia not only honed his skills but also established his reputation as a dedicated and insightful scientist.

Professional Endeavors and Contributions 🧬

Dr. Sen’s professional career took a significant leap when he joined The University of Texas MD Anderson Cancer Center in Houston, Texas. He began as a Postdoctoral Fellow in 1982, working under Dr. Macus T. Kuo in the Department of Molecular Pathology. This fellowship, focused on chromatin structure, allowed Dr. Sen to delve deep into the molecular mechanisms that underpin cancer biology. His dedication and expertise quickly led to his appointment as an Assistant Biologist in the Division of Laboratory Medicine at MD Anderson in 1987.

Dr. Sen’s career progressed rapidly, and he was promoted to Assistant Professor in the Division of Laboratory Medicine in 1990. His research during this period was instrumental in advancing the understanding of molecular pathology, particularly in the context of cancer. By 1997, Dr. Sen had become an Associate Biologist and an Assistant Professor in the Department of Molecular Pathology. His work in this department further solidified his standing as a leading researcher in the field.

In 1999, Dr. Sen was promoted to Associate Professor, a role in which he continued to contribute to the scientific community through his research and mentorship. His expertise in molecular pathology and his ability to translate complex scientific concepts into practical applications were recognized when he was appointed Professor and Deputy Chair of the Department of Translational Molecular Pathology at MD Anderson in 2010. In this capacity, Dr. Sen has played a pivotal role in shaping the department’s research agenda and fostering the next generation of scientists.

Research Focus and Impact 🔬

Dr. Sen’s research has primarily focused on molecular cytogenetics and the role of chromatin structure in cancer. His early work on chromatin structure provided new insights into how changes at the molecular level can influence cancer progression. Over the years, Dr. Sen has expanded his research to include a broader range of topics within molecular pathology, including the genetic underpinnings of cancer and the development of novel diagnostic tools.

One of Dr. Sen’s most significant contributions has been in the area of human and molecular genetics. His research has not only advanced the understanding of cancer biology but also led to the development of new approaches for diagnosing and treating the disease. As Program Director of the Human and Molecular Genetics Program at the University of Texas Graduate School of Biomedical Sciences, Dr. Sen has overseen numerous research projects that have pushed the boundaries of what is known about cancer at the molecular level.

Accolades and Recognition 🏆

Throughout his career, Dr. Sen has received numerous accolades and recognition for his contributions to the field of molecular pathology. His work has been recognized by prestigious institutions, and he has been invited to serve on various review and selection committees, including the Schissler Foundation Award and the Alfred G. Knudson Award. These roles highlight his standing in the scientific community and his commitment to advancing research in molecular pathology.

In addition to these honors, Dr. Sen has been actively involved in shaping the future of molecular pathology through his participation in various institutional committees at MD Anderson. His leadership in the Quality Assurance Committee, the Curriculum Committee for the Program in Human and Molecular Genetics, and the Institutional Biosafety Committee has helped ensure that the research conducted at MD Anderson meets the highest standards of excellence and safety.

Impact and Influence 🌍

Dr. Sen’s impact extends beyond his research and academic appointments. As a faculty member at both the University of Texas Medical School and the University of Texas Graduate School of Biomedical Sciences, he has played a crucial role in educating and mentoring the next generation of scientists. His influence can be seen in the success of his students and colleagues, many of whom have gone on to make significant contributions to the field of molecular pathology.

Dr. Sen’s work has also had a profound impact on the broader scientific community. His research has led to a better understanding of the molecular mechanisms underlying cancer, which has, in turn, informed the development of new diagnostic and therapeutic approaches. His contributions to the field have helped pave the way for more effective treatments for cancer patients, making a lasting difference in the lives of countless individuals.

Legacy and Future Contributions 🌟

As Dr. Sen continues his work at MD Anderson, his legacy as a leader in molecular pathology and cancer research is firmly established. His contributions to the field, both in terms of scientific discovery and mentorship, will continue to influence the direction of cancer research for years to come. Looking forward, Dr. Sen’s ongoing research and his commitment to training the next generation of scientists ensure that his impact on the field will only grow stronger.

Dr. Subrata Sen’s career is a testament to the power of dedication, curiosity, and a relentless pursuit of knowledge. His work has not only advanced the field of molecular pathology but also inspired countless others to follow in his footsteps, making a lasting impact on the scientific community and the fight against cancer.

Publications 

Tumour amplified kinase STK15/BTAK induces centrosome amplification, aneuploidy and transformation

    • Authors: H. Zhou, J. Kuang, L. Zhong, W. Kuo, J. Gray, A. Sahin, B. Brinkley, S. Sen
    • Journal: Nature Genetics
    • Year: 1998

MicroRNA as biomarkers and diagnostics

    • Authors: J. Wang, J. Chen, S. Sen
    • Journal: Journal of Cellular Physiology
    • Year: 2016

Mitotic phosphorylation of histone H3: spatio-temporal regulation by mammalian Aurora kinases

    • Authors: C. Crosio, G. M. Fimia, R. Loury, M. Kimura, Y. Okano, H. Zhou, S. Sen, …
    • Journal: Molecular and Cellular Biology
    • Year: 2002

Phosphorylation by aurora kinase A induces Mdm2-mediated destabilization and inhibition of p53

    • Authors: H. Katayama, K. Sasai, H. Kawai, Z. M. Yuan, J. Bondaruk, F. Suzuki, S. Fujii, …
    • Journal: Nature Genetics
    • Year: 2004

MicroRNAs in plasma of pancreatic ductal adenocarcinoma patients as novel blood-based biomarkers of disease

    • Authors: J. Wang, J. Chen, P. Chang, A. LeBlanc, D. Li, J. L. Abbruzzesse, M. L. Frazier, …
    • Journal: Cancer Prevention Research
    • Year: 2009

Dr. Shouji Zhu | Innovative Leadership | Best Researcher Award | 2951

Dr. Shouji Zhu | Innovative Leadership | Best Researcher Award

Hanshan Normal University, China

🔗 Professional Profiles

Summary

👨‍🏫 Lecturer: Shouji Zhu
🏫 Institution: Hanshan Normal University
📧 Contact: zsj82633829@126.com; +86 14739135374
🔬 Research: Purification, structural modification, and biological activity of natural products

Education

  • 🎓 Doctorate: Beijing Forestry University, Beijing, China

Professional Experience

  • 👨‍🏫 Current Position: Lecturer, Hanshan Normal University
  • 🔬 Projects: National natural fund, provincial natural fund, and other research projects

Research Interests

  • 🌱 Purification of Natural Products
  • 🔬 Structural Modification of Natural Products
  • 🧬 Biological Activity of Natural Products

Contributions

Dr. Zhu’s recent research involves utilizing bagasse, an industrial waste, as a catalyst support material. This innovative approach not only enhances the economic value of bagasse but also promotes sustainable development and green chemistry by simplifying the catalyst recovery process and reducing resource waste. ♻️🌿

Proofs and Declaration

Academic/Research Links: DOI: 10.1016/j.ijbiomac.2024.133549
ID/Certificate Links:

Award Category Preference: Best Researcher Award

Self-Declaration:

I authenticate that to the best of my knowledge, the information given in this form is correct and complete. If at any time I am found to have concealed any material information, my application shall be liable to be summarily terminated without notice. I have read the terms and conditions and other policies of the Awards and agree to them.

Nominator Signature/Name:
Date: July 09, 2024

Prof. Xing Huang Innovative Leadership | Best Researcher Award

Prof. Xing Huang – Innovative Leadership | Best Researcher Award

🧑‍🏫Prof Xing Huang, Northwestern Polytechnical University, China 

🔗 Professional Profiles

🎓 Education

  • Nov 2016 – Oct 2017: Visiting PhD in Computer Science, Department of Electrical and Computer Engineering, Duke University, USA 🇺🇸
  • Sep 2013 – Jun 2018: PhD in Intelligent Information Processing, College of Physics and Information Engineering, Fuzhou University, China 🇨🇳
  • Sep 2009 – Jun 2013: Bachelor in Computer Science and Technology, College of Mathematics and Computer Science, Fuzhou University, China 🇨🇳

👨‍🔬 Employment

  • Dec 2022 – Present: Full Professor, School of Computer Science, Northwestern Polytechnical University, China 🇨🇳
  • Aug 2022 – Nov 2022: Postdoctoral Research Fellow, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong 🇭🇰
  • Dec 2020 – Apr 2022: Humboldt Research Fellow, Postdoctoral Research Fellow, Department of Electrical and Computer Engineering, Technical University of Munich, Germany 🇩🇪
  • Dec 2019 – Nov 2020: TUFF Fellow, Postdoctoral Research Fellow, Department of Electrical and Computer Engineering, Technical University of Munich, Germany 🇩🇪
  • Sep 2018 – Oct 2019: MOST Fellow, Postdoctoral Research Fellow, Department of Computer Science, National Tsing Hua University, Taiwan 🇹🇼

💡 Research Topics

  • 🧩 Electronic Design Automation
  • 🧬 Microfluidic Biochips and VLSI Circuits
  • 🤖 Artificial Intelligence and Machine Learning
  • 📊 Algorithm Design and Analysis
  • 🖥️ Computer-Aided Design

📞 Contact Information

Publication Top Noted

Paper Title : Hdr-nerf: High dynamic range neural radiance fields

    • Authors: Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Xuan Wang, Qing Wang
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
    • Year: 2022
    • Citations : 110

Paper Title : AIM 2020: Scene relighting and illumination estimation challenge

    • Authors: Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M Parisa Beham, R Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, AN Rajagopalan, Densen Puthussery, PS Hrishikesh, Melvin Kuriakose, C Victor Jiji, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng 
    • Journal: Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part III 16
       Year: 2020
    • Citations:  47

Paper Title : Humannorm: Learning normal diffusion model for high-quality and realistic 3d human generation

    • Authors: Xin Huang, Ruizhi Shao, Qi Zhang, Hongwen Zhang, Ying Feng, Yebin Liu, Qing Wan 
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 
    • Year: 2024
    • Citations:  26

Paper Title : Local implicit ray function for generalizable radiance field representation

    • Authors: Xin Huang, Qi Zhang, Ying Feng, Xiaoyu Li, Xuan Wang, Qing Wang  
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
    • Year: 2023
    • Citations: 21

Paper Title : SA-AE for any-to-any relighting

    • Authors: Zhongyun Hu, Xin Huang, Yaning Li, Qing Wang
    • Journal:
      European Conference on Computer Vision
    • Year: 2020
    • Citations: 8

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

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