Dr. Qianwen Zheng | Innovative Leadership | Best Researcher Award

Dr. Qianwen Zheng | Innovative Leadership | Best Researcher Award

China Agricultural University, China

๐Ÿ”— Professional Profiles

Summary

๐ŸŽ“ PhD Candidate in Food Science and Engineering
Qianwen Zheng is a dedicated PhD candidate at China Agricultural University, specializing in Food Science and Engineering. With a solid academic background and top honors, she has conducted significant research in polysaccharides, focusing on their health benefits and biochemical properties.

๐ŸŽ“Education

๐Ÿ“š China Agricultural University
PhD in Food Science and Engineering

  • Faculty Mentor: Professor Xueying Mao
  • Duration: September 2023 – Present
  • Location: Beijing

๐Ÿ“š South China University of Technology
Master’s in Food Science and Engineering

  • Faculty Mentor: Professor Mouming Zhao
  • Duration: September 2020 – June 2023
  • Location: Guangzhou

๐Ÿ“š Hainan University
Bachelor’s in Food Science and Engineering

  • GPA: 3.88/4.00 (Top 1% of Department)
  • Honors/Awards: Wu Xu Scholarship (Top 1% of Department)
  • Faculty Mentor: Professor Chuan Li
  • Duration: September 2016 – June 2020
  • Location: Haikou

Professional Experience

๐Ÿ”ฌ Research on Fucus vesiculosus Polysaccharide
Duration: September 2020 – Present

  • Compared the effects of different extraction methods on the structure and ฮฑ-glucosidase inhibitory activity of polysaccharides.
  • Separated and purified the highest activity polysaccharide.
  • Analyzed physicochemical characteristics of polysaccharides.
  • Clarified the inactivation mechanisms of polysaccharides for ฮฑ-glucosidase.

๐Ÿ”ฌ Study on Holothuria leucospilota Polysaccharides
Duration: October 2018 – May 2020

  • Explored the improvement of polysaccharide on intestinal health by determining the availability and SCFAs contents in vitro fermentation products.
  • Investigated the antioxidant activity of polysaccharides by measuring the MDA content and the GSH-Px and SOD activities in the liver of a mice model.

Research Interest

๐Ÿ” Polysaccharides and Health

  • Extraction, purification, and structural characterization of bioactive polysaccharides.
  • Hypoglycemic and antioxidant effects of marine-derived polysaccharides.
  • In vitro and in vivo studies on polysaccharide digestion and intestinal health benefits.

๐Ÿ“–Publication Top Noted

Structural characterization and human gut microbiota fermentation in vitro of a polysaccharide from Fucus vesiculosus

    • Authors: Rui-Bo Jia, Guidong Yang, Hongmei Lai, Qianwen Zheng, Wen Xia, Mouming Zhao
    • Journal: International Journal of Biological Macromolecules
    • Volume: 2024
    • Issue: June
    • Pages: DOI: 10.1016/j.ijbiomac.2024.133369
    • Year: 2024

Fucus vesiculosus polysaccharide alleviates type 2 diabetes in rats via remodeling gut microbiota and regulating glycolipid metabolism-related gene expression

    • Authors: Qianwen Zheng, Yang Zheng, Rui-Bo Jia, Donghui Luo, Chong Chen, Mouming Zhao
    • Journal: International Journal of Biological Macromolecules
    • Volume: 2023
    • Issue: September
    • Pages: DOI: 10.1016/j.ijbiomac.2023.126504
    • Year: 2023

The effect of extraction solution pH level on the physicochemical properties and ฮฑ-glucosidase inhibitory potential of Fucus vesiculosus polysaccharide

    • Authors: Qianwen Zheng, Rui-Bo Jia, Donghui Luo, Lianzhu Lin, Chong Chen, Mouming Zhao
    • Journal: LWT
    • Volume: 2022
    • Issue: November
    • Pages: DOI: 10.1016/j.lwt.2022.114028
    • Year: 2022

Comparative study on the structural characterization and ฮฑ-glucosidase inhibitory activity of polysaccharide fractions extracted from Sargassum fusiforme at different pH conditions

    • Authors: Qianwen Zheng, Rui-Bo Jia, Zhi-Rong Ou, Zhao-Rong Li, Mouming Zhao, Donghui Luo, Lianzhu Lin
    • Journal: International Journal of Biological Macromolecules
    • Volume: 2022
    • Issue: January
    • Pages: DOI: 10.1016/j.ijbiomac.2021.11.103
    • Year: 2022

Effect of simulated gastrointestinal digestion in vitro on the antioxidant activity, molecular weight, and microstructure of polysaccharides from a tropical sea cucumber (Holothuria leucospilota)

    • Authors: Yiqiong Yuan, Chuan Li, Qianwen Zheng, Jixiang Wu, Kexue Zhu, Xuanri Shen, Jun Cao
    • Journal: Food Hydrocolloids
    • Volume: 2019
    • Issue: April
    • Pages: DOI: 10.1016/j.foodhyd.2018.11.040
    • Year: 2019

Mr. Tongzhen Si | Innovative Leadership | Young Scientist Award

Mr. Tongzhen Si | Innovative Leadership | Young Scientist Award

๐Ÿ”— Professional Profiles

Summary

Tongzhen Si is a dedicated researcher in computer vision and image processing, with a Ph.D. from Wuhan University. They currently contribute to scientific research at Jinan University and have a robust publication record.

Education

๐ŸŽ“ Ph.D. in Computer Science and Technology
๐Ÿ—“๏ธ Wuhan University, China (June 2023)
๐Ÿ† Awarded an excellent doctorate

Professional Experience

๐Ÿ‘ฉโ€๐Ÿ”ฌ Researcher
๐Ÿ—“๏ธ Jinan University, China (2023-Present)
๐Ÿ“š Engaged in scientific research in the fields of computer vision and image processing

Research Interests

๐Ÿ” Computer Vision
๐Ÿ“ธ Image Processing

Tongzhen Siโ€™s work in these areas has resulted in the publication of 25 academic papers, including 2 highly cited papers, contributing significantly to the advancement of these fields

Publication Top Noted

Semantic-aware Transformer with Feature Integration for Remote Sensing Change Detection

    • Authors: Li, P., Si, T., Ye, C., Guo, Q.
    • Journal: Engineering Applications of Artificial Intelligence
    • Volume: 135
    • Issue: –
    • Pages: 108774
    • Year: 2024

Homogeneous and Heterogeneous Optimization for Unsupervised Cross-Modality Person Reidentification in Visual Internet of Things

    • Authors: Si, T., He, F., Li, P., Ye, M.
    • Journal: IEEE Internet of Things Journal
    • Volume: 11
    • Issue: 7
    • Pages: 12165โ€“12176
    • Year: 2024

Homogeneous and Heterogeneous Optimization for Unsupervised Cross-Modality Person Reidentification in Visual Internet of Things

    • Authors: Si, T., He, F., Li, P., Ye, M.
    • Journal: IEEE Internet of Things Journal
    • Volume: 11
    • Issue: 7
    • Pages: 12165โ€“12176
    • Year: 2024

A Decomposition-based Many-objective Evolutionary Algorithm with Weight Grouping and Adaptive Adjustment

    • Authors: Gao, X., He, F., Luo, J., Si, T.
    • Journal: Memetic Computing
    • Volume: 16
    • Issue: 1
    • Pages: 91โ€“113
    • Year: 2024

UnifiedSC: A Unified Framework via Collaborative Optimization for Multi-task Person Re-identification

    • Authors: Si, T., He, F., Li, P.
    • Journal: Applied Intelligence
    • Volume: 54
    • Issue: 4
    • Pages: 2962โ€“2975
    • Year: 2024

Prof. Ebtsam Abouhashish | Innovative Leadership | Best Researcher Award | 2851

Prof. Ebtsam Abouhashish | Innovative Leadership | Best Researcher Awardย 

Prof College of nursing,king Saud bin Abdulaziz university for health sciences, Egypt

๐Ÿ”— Professional Profiles

Summary ๐Ÿ“‹

Ebtsam Aly Omer Abou Hashish is an esteemed professor and Associate Professor of Nursing Administration at King Saud bin Abdulaziz University for Health Sciences, Jeddah. With an extensive background in nursing education and administration, she has achieved numerous awards for her contributions to nursing education and research.

Education ๐ŸŽ“

  • Doctor of Nursing Science (D.N.S), Nursing Administration, University of Alexandria, 2010 (Excellent)
  • Master of Nursing Science (M.Sc), Nursing Administration, University of Alexandria, 2006 (Excellent)
  • Bachelor of Nursing Science (B.N.Sc), University of Alexandria, 2001 (Very Good honor)

Professional Experience ๐Ÿ’ผ

  • Associate Professor of Nursing Administration, College of Nursing โ€“ Jeddah, King Saud bin Abdulaziz University for Health Sciences, since 2023
  • Professor of Nursing Administration, Faculty of Nursing, University of Alexandria, 2021
  • Various roles and recognitions at King Saud bin Abdulaziz University for Health Sciences, including program coordinator, scientific committee member, and event organizer

Research Interests ๐Ÿ”ฌ

  • Nursing Administration
  • Nursing Education
  • Leadership and Development in Nursing
  • Digital Transformation and Artificial Intelligence in Nursing

Subspecialty Certifications ๐Ÿ“œ

  • Certified Publon Academy Peer Reviewer and Mentor
  • Basic Life Support (BLS) Provider
  • Associate Trainer at Faculty & Leadership Development Center (FLDC), Alexandria University

Memberships & Honors ๐ŸŽ–๏ธ

  • Sigma Theta Tau
  • Afro-Asian Association of Nursing Professionals
  • Multiple awards for excellence in teaching and student engagement at King Saud bin Abdulaziz University for Health Sciences

Ebtsam Aly Omer Abou Hashish is dedicated to advancing nursing through innovative research, teaching, and leadership, significantly contributing to the healthcare community in Saudi Arabia and beyond.

Publication Top Noted

Article: Faculty and students’ perspectives towards game-based learning in health sciences higher education

  • Authors: Ebtsam Aly Abou Hashish, Hend Al Najjar, Maani Alharbi, Manar Alotaibi, Meaad Maady Alqahtany
  • Journal: Heliyon
  • Volume: 10
  • Issue: 6
  • Pages: e32898
  • Year: 2024
  • DOI: 10.1016/j.heliyon.2024.e32898

Article: Digital proficiency: assessing knowledge, attitudes, and skills in digital transformation, health literacy, and artificial intelligence among university nursing students

  • Authors: Ebtsam Aly Abou Hashish, Hend
  • Journal: BMC Medical Education
  • Volume: Not specified
  • Issue: Not specified
  • Pages: Not specified
  • Year: 2024
  • DOI: 10.1186/s12909-024-05482-3

Article: Scoping review of contributors to fatigue and medication administration errors among nurses

  • Authors: Ebtsam Aly Abou Hashish, Hend
  • Journal: Evidence Based Nursing
  • Volume: Not specified
  • Issue: Not specified
  • Pages: Not specified
  • Year: 2024
  • DOI: 10.1136/ebnurs-2023-103717

Article: Examining the role of self-efficacy, emotional intelligence and conflict management styles as protective resources against stress among student nurses

  • Authors: Ebtsam Aly Abou Hashish
  • Journal: Evidence Based Nursing
  • Volume: Not specified
  • Issue: Not specified
  • Pages: Not specified
  • Year: 2024
  • DOI: 10.1136/ebnurs-2024-103947

Article: Work ethics and its relationship with workplace ostracism and counterproductive work behaviours among nurses: a structural equation model

  • Authors: Nancy Sabry Elliethey, Ebtsam Aly Abou Hashish, Nariman Ahmed Mohamed
  • Journal: BMC Nursing
  • Volume: Not specified
  • Issue: Not specified
  • Pages: Not specified
  • Year: 2024
  • DOI: 10.1186/s12912-024-01785-4
  • Let me know if you need any more details!

Prof Dr. Barbara Sittner | Innovative Leadership | Best Researcher Award

Prof Dr. Barbara Sittner | Innovative Leadership | Best Researcher Awardย 

Prof Dr. Barbara Sittner, Bryan College of Health Sciences/RETIRED, United Statesย 

๐Ÿ”— Professional Profiles

๐ŸŒŸ Summary:

Barbara J. Sittner, PhD, RN, APRN-CNS, ANEF, is an experienced nurse educator, simulation expert, and researcher with a strong background in maternal/child nursing. She has held various teaching positions, contributed to simulation training programs, and actively participated in research projects focusing on nursing education and patient safety.

๐Ÿ“š Education:

  • PhD in Community & Human Resources, University of Nebraska, 2002
  • MSN in Maternal/Child CNS, University of Nebraska Medical Center-College of Nursing, 1994
  • BSN in Nursing, University of Nebraska Medical Center-College of Nursing, 1990
  • Diploma in Nursing, Bryan Memorial School of Nursing, 1978

๐Ÿ’ผ Professional Experience:

  • Simulation Consultant & Simulation Center Director, Bryan College of Health Sciences, Lincoln, Nebraska (2019 โ€“ Present)
  • Professor of Nursing, Bryan College of Health Sciences, Lincoln, Nebraska (2012 โ€“ Present)
  • Assistant Professor, University of Nebraska Medical Center College of Nursing, Lincoln and Omaha, Nebraska (2007 โ€“ 2012)
  • Maternal/Child Clinical Nurse Specialist & Patient Care Coordinator, Saint Elizabeth Regional Medical Center, Lincoln, Nebraska (1994 โ€“ 2002)

๐Ÿ”ฌ Research Interests:

  • Simulation in nursing education
  • Interprofessional education (IPE)
  • Patient safety and quality improvement in healthcare
  • Maternal/Child health and perinatal nursing

I hope this captures the key aspects of your background and expertise! Let me know if you’d like to add or modify anything.

Publication Top Noted

  • Authors: Anne M. Schoening, Barbara J. Sittner, Martha J. Todd
  • Journal: Nurse Educator
  • Year: 2006
  • Citations: 362

Paper Title : INACSL standards of best practice for simulation: past, present, and future

  • Authors: Barbara J Sittner, Michelle L Aebersold, Jane B Paige, Leslie LM Graham, Andrea Parsons Schram, Sharon I Decker, Lori Lioce
  • Journal: Nursing education perspectives
  • Year: 2015
  • Citations: 189

Paper Title : National League for Nursingโ€”Jeffries Simulation Framework State of the Science Project: Simulation Design Characteristics

  • Authors: Barbara J. Sittner Jeffrey Groom, Deborah Henderson
  • Journal:ย  Clinical Simulation in Nursing
  • Year: 2013
  • Citations: 146

Paper Title : Effects of high-risk pregnancies on families

  • Authors: Barbara J Sittner, John DeFrain, Diane Brage Hudson
  • Journal: MCN: The American Journal of Maternal/Child Nursing
  • Year: 2005
  • Citations: 66

Mr.. Tonghe Zhu | Innovative Leadership | Young Scientist Award

Mr. Tonghe Zhu- Innovative Leadership -Young Scientist Award

Mr. Tonghe Zhu, Shanghai University of Engineering Science, Chinaย 

๐Ÿ”— Professional Profiles

Summary

Dr. Tonghe Zhu is a renowned professor with extensive experience in biomaterials and tissue engineering. He specializes in the synthesis, fabrication, and characterization of bioactive materials for tissue regeneration, particularly using advanced manufacturing techniques like electrospinning and 3D printing.

Education ๐ŸŽ“

  • PhD in Biomaterials Science
    Donghua University, Shanghai, China
    2015.09-2018.09
  • ME in Textile Chemistry and Dyeing & Finishing Engineering
    Shanghai University of Engineering Science, Shanghai, China
    2012.09-2015.03
  • BS in Chemistry
    Hefei Normal University, Hefei, China
    2008.09-2012.07

Professional Experience ๐Ÿ’ผ

  • Professor, Dean of Bio-additive Manufacturing Center
    Shanghai University of Engineering Science
    2023.12-present
  • Associate Professor, Dean of Bio-additive Manufacturing Center
    Shanghai University of Engineering Science
    2021.09-2023.12
  • Assistant Research Fellow
    Shanghai Jiao Tong University Affiliated Sixth Peopleโ€™s Hospital
    2021.03-2021.08
  • Postdoctoral Research Fellow
    Shanghai Jiao Tong University (Affiliated Sixth Peopleโ€™s Hospital)
    2019.01-2021.02

Research Interest ๐Ÿ”ฌ

  • Bioactive Materials for Tissue Regeneration ๐Ÿฆ : Developing advanced materials to promote the healing of various tissues.
  • Synthetic Biomaterials ๐Ÿงช: Creating innovative biomaterials for medical applications.
  • Electrospinning Nanofibers ๐Ÿงต: Utilizing electrospinning technology to produce nanofibrous materials.
  • 3D Printing and Additive Manufacturing ๐Ÿ–จ๏ธ: Leveraging 3D printing technologies to fabricate tissue engineering scaffolds.
  • Biodegradable Nanofibrous Materials โ™ป๏ธ: Designing materials for sustained delivery of active compounds in tissue regeneration.

Publication Top Noted

Fluffy Hybrid Nanoadjuvants for Reversing the Imbalance of Osteoclastic and Osteogenic Niches in Osteoporosis

    • Authors: Zhang, G., Kang, Y., Dong, J., … Wang, L., Yan, X.
    • Journal: Bioactive Materials
    • Volume: 39
    • Pages: 354-374
    • Year: 2024

Durable Immunomodulatory Hierarchical Patch for Rotator Cuff Repairing

    • Authors: Wang, L., Liu, Y., Lin, Z., … Zhang, Q., Zhao, J.
    • Journal: Bioactive Materials
    • Volume: 37
    • Pages: 477-492
    • Year: 2024

Biomimetic Design of Biomedical Scaffolds and Their Application in Tissue Engineering

    • Authors: Liang, C., Zhu, T., Zhu, Y., Li, R.
    • Journal: Chinese Journal of Tissue Engineering Research
    • Volume: 28
    • Issue: 15
    • Pages: 2416-2422
    • Year: 2024

Highly Bioadaptable Hybrid Conduits with Spatially Bidirectional Structure for Precision Nerve Fiber Regeneration via Gene Therapy

    • Authors: Zhao, R., Deng, X., Dong, J., … Zhu, T., Wang, G.
    • Journal: Advanced Science
    • Volume: 11
    • Issue: 19
    • Article Number: 2309306
    • Year: 2024

Self-Assembling Peptide Nanofibers Anchored Parathyroid Hormone Derivative for Bone Tissue Engineering

    • Authors: Hao, Z., Chen, T., Wang, Y., … Zhu, T., Li, J.
    • Journal: Advanced Fiber Materials
    • Volume: 6
    • Issue: 2
    • Pages: 583-606
    • Year: 2024

Prof. Xing Huang Innovative Leadership | Best Researcher Award

Prof. Xing Huang – Innovative Leadership | Best Researcher Award

๐Ÿง‘โ€๐ŸซProf Xing Huang, Northwestern Polytechnical University, Chinaย 

๐Ÿ”— Professional Profiles

๐ŸŽ“ Education

  • Nov 2016 โ€“ Oct 2017: Visiting PhD in Computer Science, Department of Electrical and Computer Engineering, Duke University, USA ๐Ÿ‡บ๐Ÿ‡ธ
  • Sep 2013 โ€“ Jun 2018: PhD in Intelligent Information Processing, College of Physics and Information Engineering, Fuzhou University, China ๐Ÿ‡จ๐Ÿ‡ณ
  • Sep 2009 โ€“ Jun 2013: Bachelor in Computer Science and Technology, College of Mathematics and Computer Science, Fuzhou University, China ๐Ÿ‡จ๐Ÿ‡ณ

๐Ÿ‘จโ€๐Ÿ”ฌ Employment

  • Dec 2022 โ€“ Present: Full Professor, School of Computer Science, Northwestern Polytechnical University, China ๐Ÿ‡จ๐Ÿ‡ณ
  • Aug 2022 โ€“ Nov 2022: Postdoctoral Research Fellow, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong ๐Ÿ‡ญ๐Ÿ‡ฐ
  • Dec 2020 โ€“ Apr 2022: Humboldt Research Fellow, Postdoctoral Research Fellow, Department of Electrical and Computer Engineering, Technical University of Munich, Germany ๐Ÿ‡ฉ๐Ÿ‡ช
  • Dec 2019 โ€“ Nov 2020: TUFF Fellow, Postdoctoral Research Fellow, Department of Electrical and Computer Engineering, Technical University of Munich, Germany ๐Ÿ‡ฉ๐Ÿ‡ช
  • Sep 2018 โ€“ Oct 2019: MOST Fellow, Postdoctoral Research Fellow, Department of Computer Science, National Tsing Hua University, Taiwan ๐Ÿ‡น๐Ÿ‡ผ

๐Ÿ’ก Research Topics

  • ๐Ÿงฉ Electronic Design Automation
  • ๐Ÿงฌ Microfluidic Biochips and VLSI Circuits
  • ๐Ÿค– Artificial Intelligence and Machine Learning
  • ๐Ÿ“Š Algorithm Design and Analysis
  • ๐Ÿ–ฅ๏ธ Computer-Aided Design

๐Ÿ“ž Contact Information

Publication Top Noted

Paper Title :ย 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 Sรผsstrunk, 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 Chengย 
    • Journal: Computer Visionโ€“ECCV 2020 Workshops: Glasgow, UK, August 23โ€“28, 2020, Proceedings, Part III 16
      ย Year: 2020
    • Citations:ย  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 Wanย 
    • Journal: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognitionย 
    • Year: 2024
    • Citations:ย  26

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

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

Paper Title :ย 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

๐Ÿ”— Professional Profiles

๐ŸŽ“ Academic Qualifications

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

๐Ÿ‘จโ€๐Ÿซ Academic Positions

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

๐Ÿ… Honors & Recognitions

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

๐Ÿ“š 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 Computingย 
    • Year: 2015
    • Citations:ย  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:ย  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 :ย 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

Prof Li Liu | Innovative Leadership | Best Researcher Award | 2831

Prof. Li Liu-Innovative Leadership-Best Researcher Award

Prof Li Liu, Soochow University, China

๐Ÿ”— Professional Profiles

๐Ÿ“š Dr. Li Liu – Associate Professor at Soochow University

Li Liu is an associate professor in the School of Computer Science and Technology at Soochow University, China. He earned his Ph.D. in Computer Science from Rutgers, The State University of New Jersey, in 2018. Dr. Liu teaches courses in Software Engineering, Machine Learning, Data Visualization, Discrete Mathematics, and Stochastic Process. His research interests are focused on Pattern Recognition, Machine Learning, Computer Vision, and Scientific Visualization. With over 20 journal publications, his research has been supported by the National Science Foundation of China and the Jiangsu Provincial Natural Science General Program.

๐Ÿง  Research and Innovations

Completed/Ongoing Research Projects:

  • 2021.1-2023.12: Research on Activity Representation and Recognition for Time-Varying Volume Data Visualization, funded by the National Science Foundation of China (62002253).
  • 2021.1-2022.12: Research on Feature Extraction Method of Fuzzy Clustering for Scientific Visualization, funded by the Jiangsu Provincial Natural Science General Program (20KJB520027).

๐Ÿ“ˆ Citation Index

  • About 100

๐Ÿ”ฌ Patents

  • Published/Under Process: 3

๐Ÿ“ Journals Published (SCI, Scopus, etc.):

  • ACM Computing Surveys
  • Pattern Recognition
  • Computer Graphics Forum
  • IEEE Computer Graphics and Applications
  • Journal of Visualization
  • IEEE Access

๐ŸŒ Collaborations

  • Rutgers University
  • Central South University of China
  • Nanjing University

๐Ÿ‘ฅ Professional Memberships

  • China Computer Federation (CCF)
  • Jiangsu Computer Society (JSCS)
  • Jiangsu Artificial Intelligence Society (JSAI)

๐Ÿ” Areas of Research

  • Pattern Recognition
  • Machine Learning
  • Scientific Visualization

๐ŸŒŸ Contributions

Dr. Liu has proposed new theories and methods for scientific visualization, machine learning, and pattern recognition. He has expanded the knowledge system and application scope of Lie group theory and dynamic fuzzy logics. His efforts have helped researchers better understand the basics and the state-of-the-art in these fields.

Publication Top Noted

A Lie group semi-supervised FCM clustering method for image segmentation

    • Authors: Haocheng Sun, Li Liu, Fanzhang Li
    • Journal: Pattern Recognition
    • Year: 2024

A Lie group kernel learning method for medical image classification

    • Authors: Li Liu, Haocheng Sun, Fanzhang Li
    • Journal: Pattern Recognition
    • Year: 2023

A Survey on Dynamic Fuzzy Machine Learning

    • Authors: Li Liu, Fanzhang Li
    • Journal: ACM Computing Surveys
    • Year: 2023

Multi-Stage Meta-Learning for Few-Shot with Lie Group Network Constraint

    • Authors: Li Liu
    • Journal: Entropy
    • Year: 2020

Visualizing Acoustic Imaging of Hydrothermal Plumes on the Seafloor

    • Authors: Not specified
    • Journal: Not specified
    • Year: 2020

Assoc Prof Dr. Dan Zhang | Innovative Leadership | Best Researcher Award | 2832

Assoc Prof Dr. Dan Zhang , Innovative Leadership, Best Researcher Award

Assoc Prof Dr. Dan Zhang, Henan Polytechnic University, Chinaย 

๐Ÿ”— Professional Profiles

Dan Zhang, Associate Professor ๐ŸŽ“

Dan Zhang is an Associate Professor at Henan Polytechnic University, specializing in atmospheric pollution research. With a robust academic background, he has contributed significantly to the field through groundbreaking research, winning awards, and publishing extensively. His expertise lies in the mechanism of sulfur dioxide poisoning, mercury catalyst modification, and wet photocatalytic oxidation for environmental remediation.

Academic Achievements ๐Ÿ†

  • Published over 40 academic papers, including 20+ SCI/EI indexed.
  • Authored 2 monographs/textbooks and holds 15 invention patents.
  • Recognized with 2 provincial and ministerial awards.
  • Notable publication as the first author in “Industrial and Engineering Chemistry Research.”

Research Projects ๐ŸŒ

  1. National Natural Science Youth Foundation: Explored sulfur dioxide poisoning mechanisms.
  2. National Natural Science Foundation of China (NSFC): Studied Hg0 removal using BiOI-based photocatalysts.
  3. Science and Technology Tackling Project of Henan Province: Investigated visible light-based mercury removal.
  4. Ongoing projects include flame suppression/enhancement, shellac materials, VOC removal mechanisms, and biomass combustion technology.

Leadership and Contributions ๐Ÿ’ก

  • Led and participated in numerous national and provincial research projects.
  • Actively contributed to the academic community as a reviewer for top international journals.

Dan Zhang’s dedication to environmental research and innovative solutions makes him a leading figure in the field, contributing significantly to sustainable development and pollution control.

Publication Top Noted

ย Paper Title : Effect of CH4 addition on high-H2 syngas combustion characteristics under N2/CO2 dilution

    • Authors: Wang, F.; Xiao, C.; Zhang, D.; Deng, H.; Chen, G.
    • Journal: Journal of the Energy Institute
    • Volume: 114
    • Issue: 101600
    • Year: 2024

Paper Title :ย  Study of CH4-H2-CO-Air premixed combustion characteristics based on fractal dimension and flame crack method

    • Authors: Wang, F.; Zhou, C.; Zhang, D.; Wen, X.; Chen, G.
    • Journal: International Journal of Hydrogen Energy
    • Volume: 63
    • Pages: 1212โ€“1228
    • Year: 2024

Paper Title :ย  Optimization of thermal link for a conduction-cooled superconducting magnet system

    • Authors: Liang, Q.; Fang, C.; Han, X.; Liu, J.; Liu, J.
    • Journal: Journal of Instrumentation
    • Volume: 18
    • Issue: 9
    • Article: P09034
    • Year: 2023

Paper Title :ย  Experimental and numerical study of the effects of N2 dilution and CH4 addition on the laminar burning characteristics of syngas

    • Authors: Wang, F.; Wang, Y.; Zhang, D.; Wen, X.; Chen, G.
    • Journal: Fuel
    • Volume: 329
    • Pages: 125403
    • Year: 2022

Paper Title :ย  Ultra-low loading of Ag2CrO4 on BiOI/CoFe2O4 microsphere with p-n heterojunction: Highly improved photocatalytic performance for Hg0 removal and mechanism insight

    • Authors: Wang, Y.; Zhang, A.; Zhang, D.; Sun, Z.; Chen, G.
    • Journal: Journal of Photochemistry and Photobiology A: Chemistry
    • Volume: 396
    • Pages: 112543
    • Year: 2020