Ms.Mahbuba Ferdowsi | Medical Imaging | Best Researcher Award

Posted on 20/06/202420/06/2024 by ScienceFather

Ms.Mahbuba Ferdowsi | Medical Imaging | Best Researcher Award

Universiti Tunku Abdul Rahman, Bangladesh

🔗 Professional Profiles

Orcid

👩‍🔬 Summary

Graduate Research Assistant specializing in Medical Image Processing, Privacy Preserving Machine Learning, and Artificial Intelligence. Proficient in medical signal processing, statistical analysis, and explainable AI, with a solid academic foundation and research experience.

🎓 Education

Master of Engineering Science (Research-based)
Universiti Tunku Abdur Rahman (UTAR), Sungai Long campus, Malaysia
Lee Kong Chian Faculty of Engineering and Science
Feb 2021 – Sep 2023

BSc in Electrical and Electronic Engineering (EEE)
Stamford University Bangladesh, Bangladesh
CGPA: 3.75/4.0, 1st position among 26 students, 157 credits completed
Jan 2016 – Oct 2020

💼 Professional Experience

Graduate Research Assistant
Universiti Tunku Abdur Rahman (UTAR), Sungai Long campus, Malaysia
Feb 2021 – Sep 2023

Focused on Medical Signal Processing, Statistical Analysis, AI, Privacy Preserving ML, and Explainable AI.

🔬 Research Interests

Medical Image Processing 🏥
Privacy Preserving Machine Learning 🔒
Artificial Intelligence 🤖

Publication Top Noted

Assessing the efficacy of machine learning algorithms for syncope classification: A systematic review

Authors: Choon-Hian Goh, Mahbuba Ferdowsi, Ming Hong Gan, Ban-Hoe Kwan, Wei Yin Lim, Yee Kai Tee, Roshaslina Rosli, Maw Pin Tan
Journal: MethodsX
Volume: Not specified
Issue: Not specified
Pages: Not specified
Year: 2024-06
DOI: 10.1016/j.mex.2023.102508

Anticipating Fainting: Real-Time Prediction of Vasovagal Syncope During Head-Up Tilt Table Testing

Authors: Mahbuba Ferdowsi, Ming-Hong Gan, Ban-Hoe Kwan, Maw Pin Tan, Choon-Hian Goh
Journal: Not specified (Conference paper)
Volume: Not applicable
Issue: Not applicable
Pages: Not specified
Year: 2023-11-22

Classification of Syncope in Front-Loaded Head-Up Tilt Test with Support Vector Machine

Authors: Not specified in your query
Journal: Conference paper in 2022 IEEE 18th International Colloquium on Signal Processing & Applications (CSPA)
Volume: Not applicable
Issue: Not applicable
Pages: Not specified
Year: 2022-05-28

Mr. Fangzhou Li | Computer Science | Best Researcher Award

Posted on 19/06/202419/06/2024 by ScienceFather

Mr. Fangzhou Li | Computer Science | Best Researcher Award

Shenyang Institute of Automation Chinese Academy of Sciences, China

🔗 Professional Profiles

Scopus

Summary

🌟 Fangzhou Li is a dedicated Ph.D. candidate at the Shenyang Institute of Automation, Chinese Academy of Sciences. With a strong academic background in Pattern Recognition and Intelligence Systems, he has made significant contributions to infrared imaging research. His work is recognized through multiple awards and publications in esteemed journals.

Education

🎓 Ph.D. Candidate (09/2021 – Present)
Pattern Recognition and Intelligence System, Shenyang Institute of Automation, Chinese Academy of Sciences.

🎓 M.S. (09/2017 – 07/2019)
Pattern Recognition and Intelligence System, Shenyang Institute of Automation, Chinese Academy of Sciences.

🎓 B.S. (09/2012 – 07/2016)
Electronic and Information Engineering, Harbin Institute of Technology.

Professional Experience

🔬 Researcher
Fangzhou has published several influential journal articles, including works on infrared focal plane arrays, non-uniformity correction, and deep learning techniques for image processing.

Research Interests
🔍 Pattern Recognition
💡 Intelligence Systems
📸 Infrared Imaging
🧠 Deep Learning

Awards

🏆 Merit Student of University of Chinese Academy of Sciences (2018, 2022, 2023).

Publication Top Noted

Single infrared image stripe removal via deep multi-scale dense connection convolutional neural network

- Authors: Xu, K., Zhao, Y., Li, F., Xiang, W.
- Journal: Infrared Physics and Technology
- Volume: 121
- Issue: –
- Pages: 104008
- Year: 2022

Single-frame-based column fixed-pattern noise correction in an uncooled infrared imaging system based on weighted least squares

- Authors: Li, F., Zhao, Y., Xiang, W.
- Journal: Applied Optics
- Volume: 58
- Issue: 33
- Pages: 9141–9153
- Year: 2019

Infrared image mixed noise removal method based on improved NL-means | 基于改进非局部均值的红外图像混合噪声去除方法

- Authors: Li, F., Zhao, Y., Xiang, W., Liu, H.
- Journal: Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering
- Volume: 48
- Issue: –
- Pages: S128001
- Year: 2019

Dynamic range compression and detail enhancement of sea-surface infrared image | 海面红外图像的动态范围压缩及细节增强

- Authors: Wang, Y., Zhao, Y., Luo, H., Li, F.
- Journal: Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering
- Volume: 47
- Issue: –
- Pages: S126001
- Year: 2018

Title: New technique for dynamic-range compression and contrast enhancement in infrared imaging systems | 红外成像系统中的高动态范围压缩与对比度增强新技术

- Authors: Zhao, Y., Wang, Y., Luo, H., Li, F.
- Journal: Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering
- Volume: 47
- Issue: –
- Pages: S126001
- Year: 2018

Prof. Xiansheng Liu | Charismatic Leadership | Best Scholar Award

Posted on 17/06/202417/06/2024 by ScienceFather

Prof. Xiansheng Liu , Charismatic Leadership, Best Scholar Award

Prof. Xiansheng Liu, Shanxi Bethune Hospital China

🔗 Professional Profiles

Scopus

Summary 🌟

Dr. Liu Xiansheng is a distinguished professor and chief physician with a notable career in respiratory medicine. Currently serving as the President and Deputy Secretary of Shanxi Bethune Hospital, he has significantly contributed to the field through both his clinical practice and research. He has published over 120 papers and led numerous significant research projects, earning prestigious awards for his scientific achievements.

Education 🎓

Ph.D. in Respiratory Medicine
Tongji Medical College, Huazhong University of Science and Technology (09/1999 – 07/2002)
Master’s in Respiratory Medicine
Original Tongji Medical University (09/1995 – 07/1998)
Bachelor’s in Clinical Medicine
Original Tongji Medical University (09/1987 – 07/1992)

Professional Experience 💼

President and Deputy Secretary
Shanxi Bethune Hospital (01/2019 – Present)
Professor / Chief Physician
Tongji Hospital, Huazhong University of Science and Technology (06/2002 – Present)
Postdoctoral Fellow
Virginia Commonwealth University School of Medicine, USA (06/2005 – 12/2006)
Resident Physician
Tongji Hospital, Huazhong University of Science and Technology (09/1992 – 07/1995)

Research Interests 🔬

Dr. Liu specializes in both basic and clinical research related to asthma and chronic obstructive pulmonary disease (COPD). His work has led to several advancements in these fields, supported by various high-profile grants and projects. His research contributions have been recognized with multiple awards, including national and provincial prizes for science and technology progress.

Publication Top Noted

Exosome microRNA-125a-5p derived from epithelium promotes M1 macrophage polarization by targeting IL1RN in chronic obstructive pulmonary disease

- Authors: Wang, R., Zhu, Z., Peng, S., Wei, S., Liu, X.
- Journal: International Immunopharmacology
- Year: 2024
- Volume: 137
- Issue: –
- Pages: 112466

COPD patients with high blood eosinophil counts exhibit a lower rate of omicron infection and milder post-infection symptoms

- Authors: Bai, X., Niu, Y., Wei, S., Liu, X., Wang, R.
- Journal: Clinical Respiratory Journal
- Year: 2024
- Volume: 18
- Issue: 6
- Pages: e13790

Secular trends of asthma mortality in China and the United States from 1990 to 2019

- Authors: Li, X., Guo, M., Niu, Y., Xie, M., Liu, X.
- Journal: Chinese Medical Journal
- Year: 2024
- Volume: 137
- Issue: 3
- Pages: 273-282

Identification of novel biomarkers related to neutrophilic inflammation in COPD

- Authors: Huang, Y., Niu, Y., Wang, X., He, Y., Liu, X.
- Journal: Frontiers in Immunology
- Year: 2024
- Volume: 15
- Issue: –
- Pages: 1410158

Effect of fracture risk in inhaled corticosteroids in patients with chronic obstructive pulmonary disease: a systematic review and meta-analysis

- Authors: Peng, S., Tan, C., Du, L., Liu, X., Wang, R.
- Journal: BMC Pulmonary Medicine
- Year: 2023
- Volume: 23
- Issue: 1
- Pages: 304

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

Posted on 16/06/2024 by ScienceFather

Mr. Tonghe Zhu- Innovative Leadership -Young Scientist Award

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

🔗 Professional Profiles

Scopus
Orcid

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 🎓

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 💼

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 People’s Hospital
2021.03-2021.08
Postdoctoral Research Fellow
Shanghai Jiao Tong University (Affiliated Sixth People’s Hospital)
2019.01-2021.02

Research Interest 🔬

Bioactive Materials for Tissue Regeneration 🦠: Developing advanced materials to promote the healing of various tissues.
Synthetic Biomaterials 🧪: Creating innovative biomaterials for medical applications.
Electrospinning Nanofibers 🧵: Utilizing electrospinning technology to produce nanofibrous materials.
3D Printing and Additive Manufacturing 🖨️: Leveraging 3D printing technologies to fabricate tissue engineering scaffolds.
Biodegradable Nanofibrous Materials ♻️: 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

Mr. Alex Eclador Ngankem | Radiation Protection | Best Scholar Award | 2544

Posted on 14/06/202419/06/2024 by ScienceFather

Mr. Alex Eclador Ngankem | Radiation Protection | Best Scholar Award

Mr. Alex Eclador Ngankem, Centre for Atomic Molecular Phscis and Quantum Optics (CEPAMO) of University of Douala, Cameroon

🔗 Professional Profiles

Google Scholar

🎓 Educational Background

2021-Present: PhD Student in Radioprotection (Medical Physics), University of Douala
July 2020: Master 2 in Condensed Matter Physics, University of Dschang
July 2019: Master 1 in Condensed Matter Physics, University of Dschang
July 2018: Bachelor’s Degree in Condensed Matter Physics, University of Dschang
May 2014: Baccalaureate, Series C
June 2013: Probatoire, Series C
June 2011: BEPC (Brevet d’Études du Premier Cycle)
June 2007: CEP (Certificate of Primary Studies)

👨‍🏫 Professional Experience and Training

2023-2024: Lecturer and tutor in Nuclear Physics, Mathematics for Life Sciences at the University of Douala (volunteering)
2022-2023: Lecturer and tutor in Nuclear Physics, Electrostatics, Magnetostatics, Mathematics for Life Sciences at the University of Douala (volunteering)
2023: Doctoral seminar on “Monte Carlo Model Based on PHITS to Estimate the Shielding of a Conventional Radiology Room”
2022: Doctoral seminar on “Contribution of Monte Carlo Methods to the Realisation of Zoning and Workstation Studies in Radiology”
2022: Training certified by Baltic Scientific Instruments (BSI) on Alpha Spectrometry
2020-2022: Lecturer and tutor in Nuclear Physics at the University of Douala (volunteering)
2019-2020: Tutor in Electrostatics, Physics for Life Sciences at the University of Dschang (volunteering)
2019-2021: Member of the End of Semester Examinations Committee, University of Dschang (volunteering)
2021-2024: Training certified by Japan Atomic Energy Agency (JAEA) on the Monte Carlo tool PHITS

📚 Research Experience

Published: “Estimating of Radiation Output of X-Ray Tube Using Mathematical Model: Case of High-Frequency Machines”
Submitted: “Simulation of the X-Ray Spectra Using Monte Carlo PHITS Code: Influence of Some Parameters”
In Progress: “Monte Carlo Model Based on PHITS to Estimate the Shielding of a Conventional Radiology Room”
In Progress: “Contribution of Monte Carlo Methods to the Realisation of Zoning and Workstation Studies in Radiology”

📢 Seminar Presentations

“Estimating of Radiation Output of X-Ray Tube Using Mathematical Model: Case of High-Frequency Machines”
“Simulation of the X-Ray Spectra Using Monte Carlo PHITS Code: Influence of Some Parameters”
“Monte Carlo Model Based on PHITS to Estimate the Shielding of a Conventional Radiology Room”
“Contribution of Monte Carlo Methods to the Realisation of Zoning and Workstation Studies in Radiology”

📐 Teaching Experience

2018-2020: Temporary Mathematics teacher at the Technical School of Fotomena
2017: Statistical Investigator: Citizen Control of Public Action (EC-ECAM4) (volunteering)

Alex Eclador NGANKEM is a dedicated researcher and educator in the field of Radioprotection and Medical Physics. His work primarily focuses on the application of Monte Carlo methods to improve radiological safety and efficiency. He is actively involved in academic teaching and has presented numerous research topics at seminars, contributing significantly to his field.

Publication Top Noted

Paper Title :Estimating of radiation output of X-RAY tube using mathematical model: Case of high-frequency machines

- Authors: Alex Eclador Ngankem, Clemence Raïssa Tchatchouang Simo, Daniel Bongue, Ruth Nana Njantang, Maurice Moyo Ndontchueng, Odette Ngano Samba
- Journal: Physica Medica
- Year: 2024

Dr. Mohammed Aufy | Molekular Biologie | Best Researcher Award

Posted on 14/06/202414/06/2024 by ScienceFather

Dr. Mohammed Aufy | Molekular Biologie | Best Researcher Award

🧑‍🏫Dr. Mohammed Aufy, University of Vienna, Austria

🔗 Professional Profiles

Google Scholar

Dr. Mohammed Aufy 🌟

Dr. Mohammed Aufy is a distinguished Senior Lecturer at the Department of Pharmaceutical Sciences, University of Vienna 🏫. Born on September 27, 1976, in Cairo, Egypt, he embarked on a remarkable academic journey that has spanned continents and disciplines.

🎓 Education

Bachelor in Zoology and Entomology, Al-Azhar University, Cairo, Egypt (1995-1999)
Master in Zoology, Al-Azhar University, Cairo, Egypt (2001-2005)
PhD in Cell Biology and Biochemistry, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria (2008-2012)

🌍 Professional History

Demonstrator, Al-Azhar University, Cairo, Egypt (2002-2005)
Assistant Lecturer, Al-Azhar University, Cairo, Egypt (2005-2007)
Scientific Staff, University of Natural Resources and Life Sciences (BOKU), Vienna, Austria (2007-2012)
University Staff (Assistant Professor), Al-Azhar University, Cairo, Egypt (2012-2014)
Postdoctoral Fellow, University of Vienna, Austria (2014-2017)
Senior Lecturer, University of Vienna, Austria (2017-present)

🏆 Awards and Fellowships

Best Student of the Year, Al-Azhar University, Cairo, Egypt (1998)
Award for Best Bachelor Graduate, Al-Azhar University, Cairo, Egypt (1999)
PhD Fellowship, Ministry of Higher Education, Egypt (2007)
Best Scientific Talk, The Winter School on Proteinases and Their Inhibitors, Tiers, Italy (2011)
Best Scientific Talk, 2nd International Conference on Biological, Biomedical Sciences, Biotechnology, and Applications (BBSBA2021) (2021)
Best Poster Presentation, various international scientific conferences in Egypt and Austria (2011, 2021, 2023)

🔬 Research Focus

Dr. Aufy’s research primarily centers on peptidases and their role in various physiological and pathological processes. He has secured several funded research grants to investigate topics such as the role of lysosomal peptidases in mammary gland carcinoma, peptidases as targets for treating pituitary adenoma, and the mechanisms of toxicity of certain mycotoxins.

🌐 Professional Societies Memberships

Austrian Peptide Society (since 2015)
Austrian Society for Molecular Biosciences and Biotechnology (ÖGMBT) (since 2010)
Entomological Society of Egypt (since 2001)

🌱 Contributions to Science

Dr. Aufy’s contributions extend beyond academia; his work has practical implications for understanding disease mechanisms and developing targeted therapies. His fluency in English, very good command of German, and native proficiency in Arabic have facilitated collaborations and communications across diverse scientific communities.

✨ Dr. Mohammed Aufy’s dedication to advancing scientific knowledge and his commitment to excellence make him a valued member of the global scientific community.

Publication Top Noted

Paper Title :Robust visible light active CoNiO2–BiFeO3–NiS ternary nanocomposite for photo-fenton degradation of rhodamine B and methyl orange: Kinetics, degradation pathway and toxicity …

- Authors: B Harikumar, Mohammad K Okla, Ibrahim A Alaraidh, Asmaa Mohebaldin, Walid Soufan, Mostafa A Abdel-Maksoud, Mohammed Aufy, Ajith M Thomas, Lija L Raju, S Sudheer Khan
- Journal: Journal of Environmental Management
- Year: 2022
- Citations : 23

Paper Title : The lectin-like domain of TNF increases ENaC open probability through a novel site at the interface between the second transmembrane and C-terminal domains of the α-subunit

- 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 : Glycosylation-dependent activation of epithelial sodium channel by solnatide

- Authors: Waheed Shabbir, Susan Tzotzos, Minela Bedak, Mohammad Aufy, Anita Willam, Martin Kraihammer, Alexander Holzner, Istvan Czikora, Parastoo Scherbaum-Hazemi, Hendrik Fischer, Helmut Pietschmann, Bernhard Fischer, Rudolf Lucas, Rosa Lemmens-Gruber
- Journal: Biochemical Pharmacology
- Year: 2015
- Citations: 20

Paper Title : Restoration of epithelial sodium channel function by synthetic peptides in pseudohypoaldosteronism type 1B mutants

- Authors: Anita Willam, Mohammed Aufy, Susan Tzotzos, Heinrich Evanzin, Sabine Chytracek, Sabrina Geppert, Bernhard Fischer, Hendrik Fischer, Helmut Pietschmann, Istvan Czikora, Rudolf Lucas, Rosa Lemmens-Gruber, Waheed Shabbir
- Journal: Frontiers in Pharmacology
- Year: 2027
- Citations: 17

Paper Title : Double Z-Scheme ZnCo2O4/MnO2/FeS2 photocatalyst with enhanced photodegradation of organic compound: Insights into mechanisms, kinetics, pathway and toxicity studies

- Authors: V Subhiksha, Abdulrahman A Alatar, Mohammad K Okla, Ibrahim A Alaraidh, Asmaa Mohebaldin, Mohammed Aufy, Mostafa A Abdel-Maksoud, Lija L Raju, Ajith M Thomas, S Sudheer Khan
- Zeitschrift: Chemosphere
- Year: 2022

Prof. Xing Huang Innovative Leadership | Best Researcher Award

Posted on 14/06/202414/06/2024 by ScienceFather

Prof. Xing Huang – Innovative Leadership | Best Researcher Award

🧑‍🏫Prof Xing Huang, Northwestern Polytechnical University, China

🔗 Professional Profiles

Google Scholar

🎓 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

Email: xing.huang@nwpu.edu.cn
Tel: +86 13720620401

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

Posted on 13/06/2024 by ScienceFather

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

Prof Dr. Genggeng Liu, Fuzhou University, China

🔗 Professional Profiles

Google Scholar

🎓 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

Prof Dr. Juan Li | Best Researcher Award | Best Researcher Award

Posted on 13/06/2024 by ScienceFather

Prof Dr. Juan Li-Best Researcher Award-Best Researcher Award

Prof Dr. Juan Li, Nanfang Hospital, Southern Medical University, Guangzhou, China

🔗 Professional Profiles

🏅 Academic and Professional Background

Dr. Li Juan is a chief physician, doctoral/postdoctoral tutor, and the esteemed director of Rheumatology and Immunology at Nanfang Hospital, Southern Medical University. Recognized as an instructor for inheriting the academic experience of senior Chinese medicine experts, she is a renowned practitioner in Guangdong Province and one of the province’s first top ten medical leading talents.

🔬 Research and Innovations

Dr. Li Juan has led and completed twenty-two significant research projects, making substantial contributions to the fields of rheumatology and traditional Chinese medicine.

📚 Recent Publications

Fusobacterium nucleatum and Rheumatoid Arthritis – Cell Host Microbe, 2023 (IF 30.3)
Neutrophils Extracellular Traps in Rheumatoid Arthritis – RMD Open, 2024 (IF 6.2)
DKK-1’s Role in Bone Destruction – Inflammation, 2023 (IF 5.1)
Natural Killer Cells and Collagen-Induced Arthritis – Front Immunol, 2022 (IF 8.786)
Resveratrol and Gouty Arthritis – J Inflamm Res, 2021 (IF 6.924)
Paclitaxel’s Effect on Synoviocytes – Front Pharmacol, 2021 (IF 5.811)
Monocytic MDSCs and Bone Erosion – Rheumatology (Oxford), 2021 (IF 7.583)
Oridonin and Liver Injury – Oxid Med Cell Longev, 2021 (IF 6.543)
IDO1 and Acute Liver Failure – Free Radic Biol Med, 2021 (IF 7.372)
Machine Learning in Polymyositis and Dermatomyositis – Clin Exp Rheumatol, 2022 (IF 3.7)

🚀 Patents

Dr. Li has one patent published/under process.

🤝 Collaborations

She is actively involved in several high-profile collaborations, including the Overseas Cooperation Project of the National Natural Science Foundation of China and projects on traditional Chinese medicine at the national level.

🌐 Professional Memberships

Dr. Li holds several key positions in national and regional professional organizations, such as:

Chairman of the National Regional Diagnosis and Treatment Center for Rheumatology of Integrated Traditional Chinese and Western Medicine
Member of the Rheumatology Branch of the Chinese Medical Association
Vice Chairman of the Chinese Medicine Immunity Committee of the World Federation of Chinese Medical Societies

🌱 Areas of Research

Pathogenesis of rheumatoid arthritis and intervention mechanisms of Traditional Chinese Medicine
Basic and clinical research on gout
Research and development of anti-osteoporosis traditional Chinese medicine

🎖️ Contributions

Dr. Li has presided over 8 national natural science funds and more than 20 other major projects. She has led and participated in over 30 clinical studies and published more than 30 SCI papers. Her groundbreaking work has earned her prestigious awards, including the first prize of science and technology from the China Association of Integrated Traditional Chinese and Western Medicine and the second prize of Guangdong Science and Technology Progress.

🌐 Dr. Li Juan’s dedication to integrating traditional Chinese medicine with modern rheumatology continues to advance the field, making significant strides in both scientific understanding and clinical practice.

Publication Top Noted

Internalisation of Neutrophils Extracellular Traps by Macrophages Aggravate Rheumatoid Arthritis via Rab5a

- Authors: Ye, H., Yang, Q., Guo, H., …, Zheng, S., Li, J.
- Journal: RMD Open
- Year: 2024

DKK-1 and Its Influences on Bone Destruction: A Comparative Study in Collagen-Induced Arthritis Mice and Rheumatoid Arthritis Patients

- Authors: Zhao, D., Wu, L., Hong, M., …, Zhu, J., Li, J.
- Journal: Inflammation
- Year: 2024

2023 International Consensus Guidance for the Use of Tripterygium Wilfordii Hook F in the Treatment of Active Rheumatoid Arthritis

- Authors: Zhang, X., Xia, J., Jiang, Y., …, Zhao, Z., Lipsky, P.E.
- Journal: Journal of Autoimmunity
- Year: 2024

Real-World Study of Effectiveness and Safety of Tongluo Kaibi Tablet in Treatment of Arthritis (Rheumatoid Arthritis, Knee Osteoarthritis) | 通络开痹片治疗关节炎（类风湿关节炎、膝骨关节炎）疗效及安全性的真实世界研究

- Authors: He, X.-H., Shi, Y.-Y., Zhou, X.-L., …, Zhang, Z.-K., Huang, Q.-C.
- Journal: Chinese Traditional and Herbal Drugs
- Year: 2023

Fusobacterium Nucleatum Aggravates Rheumatoid Arthritis through FadA-Containing Outer Membrane Vesicles

- Authors: Hong, M., Li, Z., Liu, H., …, Zhou, H., Li, J.
- Journal: Cell Host and Microbe
- Year: 2023

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

Posted on 13/06/202413/06/2024 by ScienceFather

Prof. Li Liu-Innovative Leadership-Best Researcher Award

Prof Li Liu, Soochow University, China

🔗 Professional Profiles

Orcid

📚 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.

🧠 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).

📈 Citation Index

About 100

🔬 Patents

Published/Under Process: 3

📝 Journals Published (SCI, Scopus, etc.):

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

🌐 Collaborations

Rutgers University
Central South University of China
Nanjing University

👥 Professional Memberships

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

🔍 Areas of Research

Pattern Recognition
Machine Learning
Scientific Visualization

🌟 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