Manar Hamza | Computer Science Data mining | Best Researcher Award

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Dr. Manar Hamza | Computer Science Data mining | Best Researcher Award

professor at  Prince Sattam bin Abd El Aziz University, China

👩‍🏫 Experienced Computer Science Lecturer since 2005 with expertise in data mining, text mining, and information security. 💻 Holds a strong track record in research and academia, leveraging innovation and teamwork. Aims to thrive in challenging, dynamic, and team-oriented environments that foster growth. 🌍 Based in Sudan and Saudi Arabia, dedicated to academic excellence and community impact.

Professional Profiles:

scopus

Education 🎓

Ph.D. in Computer Science from Omdurman Islamic University, Sudan (2018–2021). 🎓 Master’s Degree in Computer Science from Sudan University of Science and Technology (2003–2005). 🎓 B.Sc. in Computer Science from Omdurman Islamic University, Sudan (1995–1999). 📚 Comprehensive training in research skills, academic advising, and IT tools like Mendeley, Latex, and iThenticate.

Experience 🖥️

Lecturer in Computer Science at Prince Sattam bin Abdul-Aziz University, Saudi Arabia (2013–present). 👩‍💼 Supervisor and Coordinator roles in quality, academic advising, and measurement (2014–2020). 🇸🇩 Lecturer at Omdurman Islamic University, Sudan (2005–2012). 👩‍🔬 E-teaching and training specialist with Arab Board experience (2023).

Awards and Honors 🏆

Certificates of Appreciation from PSAU for contributions to quality, development, and academic planning. 🙌 Recognized for voluntary services, including extracurricular activities and technical support for students and staff. ⭐ Esteemed arbitrator in scientific and innovation conferences. 📜 Active contributor to enhancing the learning environment with innovative solutions.

Research Focus 🔍

Data mining, text mining, and information security are core research areas. 📊 Interested in qualitative research, outcome-based education, and e-learning systems. 🌐 Advocates for advancing academic IT tools like Prezi, Mendeley, and iThenticate. 🛡️ Exploring cybersecurity methods and their application in education and industry.

✍️Publications Top Note :

1. Robust Tweets Classification Using Arithmetic Optimization with Deep Learning for Sustainable Urban Living

Published in: SN Computer Science, 2024, 5(5), 549

Summary: This paper proposes a novel classification model for urban-related tweets using arithmetic optimization integrated with deep learning to support sustainable urban living solutions.

2. Enhancing Traffic Flow Prediction in Intelligent Cyber-Physical Systems

Published in: IEEE Transactions on Consumer Electronics, 2024, 70(1), pp. 1889–1902

Summary: Introduces a Bi-LSTM approach enhanced with a Kalman filter for accurate traffic flow prediction, addressing challenges in intelligent cyber-physical systems.

Citations: 5

3. Deer Hunting Optimization with Deep Learning-Driven Automated Fabric Defect Detection and Classification

Published in: Mobile Networks and Applications, 2024, 29(1), pp. 176–186

Summary: Utilizes the Deer Hunting Optimization algorithm with deep learning to achieve high accuracy in detecting and classifying fabric defects.

Citations: 1

4. Automatic Recognition of Cyberbullying in the Web of Things and Social Media Using Deep Learning Framework

Published in: IEEE Transactions on Big Data, 2024

Summary: Develops a deep learning-based framework to detect and prevent cyberbullying within social media and IoT environments.

5. Artificial Rabbit Optimizer with Deep Learning for Fall Detection in IoT Environment

Published in: AIMS Mathematics, 2024, 9(6), pp. 15486–15504

Summary: Introduces the Artificial Rabbit Optimizer combined with deep learning to enhance fall detection systems for disabled individuals in IoT environments.

Citations: 1

6. Computational Linguistics-Based Arabic Poem Classification and Dictarization Model

Published in: Computer Systems Science and Engineering, 2024, 48(1), pp. 98–114

Summary: Proposes a computational linguistics model to classify Arabic poems and enhance their dictarization process.

7. Abstractive Arabic Text Summarization Using Hyperparameter Tuned Denoising Deep Neural Network

Published in: Intelligent Automation and Soft Computing, 2024, 38(2), pp. 153–168

Summary: Develops a deep neural network with hyperparameter tuning for effective abstractive summarization of Arabic texts.

Citations: 1

8. Chaotic Equilibrium Optimizer-Based Green Communication With Deep Learning Enabled Load Prediction in IoT Environment

Published in: IEEE Access, 2024, 12, pp. 258–267

Summary: Presents a Chaotic Equilibrium Optimizer combined with deep learning to improve green communication and load prediction in IoT systems.

Citations: 2

9. Land Use and Land Cover Classification Using River Formation Dynamics Algorithm With Deep Learning on Remote Sensing Images

Published in: IEEE Access, 2024, 12, pp. 11147–11156

Summary: Leverages the River Formation Dynamics algorithm integrated with deep learning for efficient land use and land cover classification using remote sensing data.

Citations: 4

10. Prediction of Sleep Quality Using Wearable-Assisted Smart Health Monitoring Systems

Published in: Journal of King Saud University – Science, 2023, 35(9), 102927

Summary: Utilizes wearable technology and statistical data to predict sleep quality, providing insights into personalized smart health monitoring systems.

Citations: 1

Conclusion

The candidate’s extensive experience, academic qualifications, and contributions to computer science, particularly in data mining and information security, make them a strong contender for the Research for Best Researcher Award. With some strategic enhancements to highlight impactful research and global contributions, their profile could exemplify the qualities of an award-winning researcher in computer science.

Congzhuo Jia | Computer-Aided Diagnosis | Best Researcher Award

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Dr. Congzhuo Jia | Computer-Aided Diagnosis | Best Researcher Award

 Cardiologist/Postdoctoral Fellow at Guangdong Provincial People’s Hospital, China

A dedicated cardiologist and postdoctoral fellow, with an impressive academic and clinical background across top global institutions, excelling in cardiovascular research and patient care. 🎓 Trained as an M.D. in China, later advancing to an M.S. in Guangdong, and completing a Ph.D. in the Netherlands with an exchange at Karolinska Institutet, Sweden. 🌍 Fluent in multiple languages, this versatile scholar contributes to cutting-edge cardiovascular knowledge, marked by significant accolades and grants. 📈 Currently based at Guangdong Provincial People’s Hospital, they bring a global perspective to clinical cardiology, grounded in a decade of rigorous academic training and hands-on experience.

Publication Profile

orcid

Education🎓

M.D. from Chongqing Medical University, China (2008–2013). M.S. in Medical Sciences from Shantou University Medical College, Guangdong, China (2014–2017). Ph.D. from University Medical Center Groningen, Netherlands (2017–2022). Exchange Ph.D. at Karolinska Institutet, Sweden (2019–2022).

Experience 👨‍⚕️

Cardiologist/Postdoctoral Fellow, Cardiology Department, Guangdong Provincial People’s Hospital (2022–Present). Medical Intern, First Affiliated Hospital of Shantou University Medical College (2016–2017).

Awards and Honors 🏆

Four-year full-time scholarship, China Scholarship Council. Overseas postdoctoral fellowship fundings. Notable conference presenter at ISCOMS (2017), AMGRO (2019), SSAR (2019, 2021), EAS (2020), CVP/CVR/THK/AC (2020), and ESC Congress (2024).

Research Focus 🔬

Cardiovascular disease mechanisms and clinical interventions. Research on cardiac biomarkers, heart failure, and patient-centered care approaches.  International collaborations on advanced cardiology methods and findings in Europe and Asia.

Publication  Top Notes

 

“Exploring the potential of large language models in identifying metabolic dysfunction‐associated steatotic liver disease: A comparative study of non‐invasive tests and artificial intelligence‐generated responses,” Liver International, 2024-11-11, DOI: 10.1111/liv.16112.
Authors: Wanying Wu, Yuhu Guo, Qi Li, Congzhuo Jia.

2. “Impact of Platelet-to-HDL-Cholesterol Ratio on Long-Term Mortality in Coronary Artery Disease Patients with or Without Type 2 Diabetes: Insights from a Chinese Multicenter Cohort,” Journal of Inflammation Research, 2024-05, DOI: 10.2147/JIR.S458950.
Authors: Wanying Wu, Congzhuo Jia, Xiayan Xu, Yibo He, Yun Xie, Yang Zhou, Hongyu Lu, Jin Liu, Jiyan Chen, Yong Liu.

3. “Fibrinogen to HDL-Cholesterol ratio as a predictor of mortality risk in patients with acute myocardial infarction,” Lipids in Health and Disease, 2024-03-25, DOI: 10.1186/s12944-024-02071-7.
Authors: Congzhuo Jia, Wanying Wu, Huan Lu, Jin Liu, Shiqun Chen, Guoxiao Liang, Yang Zhou, Sijia Yu, Linfang Qiao, Jinming Chen.

4. “Comparison of cardiac biomarkers on risk assessment of contrast‐associated acute kidney injury in patients undergoing cardiac catheterization: A multicenter retrospective study,” Nephrology, 2023-11, DOI: 10.1111/nep.14233.
Authors: Sijia Yu, Qiang Li, Yibo He, Congzhuo Jia, Guoxiao Liang, Hongyu Lu, Wanying Wu, Jin Liu, Yong Liu, Jiyan Chen.

5. “Proportion and number of incident cancer deaths in coronary artery disease,” Cancer Medicine, 2023-10, DOI: 10.1002/cam4.6595.
Authors: Jin Liu, Shiqun Chen, Yang Zhou, Haozhang Huang, Qiang Li, Yan Liang, Shaohong Dong, Xiaoyu Huang, Liling Chen, Xueyan Zheng et al.

 

Conclusion

Given the researcher’s strong foundation in medicine, international research exposure, active engagement in clinical cardiology, and demonstrated commitment through scholarships and fellowships, they are a strong candidate for the Best Researcher Award. While building their publication record and increasing visibility at key conferences could enhance their profile, their strengths in clinical practice, research acumen, and multilingual proficiency present them as an asset to the scientific and medical research community.

Zhiyi Liu | Embodied Intelligence | Best Researcher Award

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Dr. Zhiyi Liu | Embodied Intelligence | Best Researcher Award

Chief Scientist at Eastmoney AI Research Institute, China

The individual is a distinguished AI scientist with a vast background in multimodal AI, data integration, and financial technology. 📊 They have contributed significantly to AI applications across various industries, including search engines, digital healthcare, and financial markets. 🌐 Holding senior positions at prominent companies such as Baidu, SenseTime, and East Money Group, they have driven innovation in AI algorithms and system architecture. 💻 Their leadership in AI governance and multimodal model development has solidified their role as a key player in the AI landscape. 🤖 Additionally, their collaboration with academic and industry leaders, including Professor Andrew Ng, has furthered the integration of cutting-edge AI into real-world applications.

Publication Profile

scholar

Education 🎓

They are pursuing an IMBA at the University of Hong Kong Business School (2024-2026).  They completed their Doctorate in Intelligent Manufacturing at ISTEC Paris (2021-2024).  Their undergraduate education is in Computer Science and Technology from Beijing University of Posts and Telecommunications (2007-2011).  Throughout their academic career, they have focused on merging technical expertise with strategic innovation, especially in fields related to AI, intelligent manufacturing, and business. Their education has laid a solid foundation for their work, combining both advanced technical skills and a keen understanding of the business implications of AI technologies.

Experience 🔧

Currently, they are the Principal Scientist & Executive Dean at East Money Group, leading intelligent financial risk assessment models.  Prior to this, they co-founded and served as an AI scientist at SenseTime (2019-2022), where they led multimodal data fusion projects.  At Baidu (2011-2018), they spearheaded the integration of AI into search technologies and collaborated with top AI experts, including Andrew Ng. 🤝 They have also contributed to the development of multimodal AI models at the Chinese Academy of Sciences (2018-2019). Their diverse experience encompasses AI applications in finance, healthcare, and autonomous systems.

Awards and Honors 🏆 

At the international level, they are a member of the technical committee for the IEEE CCAI 2024 conference and a technical expert for the IEC/SMB/SEG12 Bio-digital Convergence System Evaluation Team.  Nationally, they are a member of the AI Ethics Working Committee of the Chinese Association for Artificial Intelligence and an expert on Chinese AI standards. 🇨🇳 They are a distinguished fellow at Shanghai Jiaotong University’s AI and Marketing Research Center and serve as the Executive Director of the Research Center for Computational Law and AI Ethics. 🏅 Their accolades reflect their contributions to AI ethics, governance, and research.

Research Focus  🔬

Their research centers on multimodal AI, integrating data streams from text, images, speech, and video to enhance AI’s cognitive abilities. 🧠 They have made significant advancements in natural language processing (NLP), computer vision, and deep learning.  Their work also addresses AI governance, ensuring transparency, fairness, and compliance in AI systems.  They focus on practical applications in digital healthcare, where multimodal data fusion has improved diagnostic accuracy and patient care.  Additionally, they have applied AI innovations to financial markets, optimizing decision-making through advanced algorithms and risk assessment models.

Conclusion

This candidate demonstrates exceptional qualifications for the Best Researcher Award, thanks to their pioneering work in embodied intelligence, multimodal AI models, and cross-sector applications. Their leadership in AI innovation, coupled with their significant academic influence and contributions to AI ethics, makes them a standout nominee. By leveraging further commercial application and broadening international collaborations, they can continue to push the boundaries of AI research, solidifying their position as a leading researcher in the global AI community.

Publication  Top Notes

Development Paradigm of Artificial Intelligence in China from the Perspective of Digital Economics 📊: Z Liu, Y Zheng explore the AI development in China’s digital economy. (Journal of Chinese Economic and Business Studies, 2022)

Evolving Financial Markets: The Impact and Efficiency of AI-Driven Trading Strategies 💹: Z Liu, K Zhang, D Miao discuss the role of AI in enhancing trading efficiency. (International Conference on Intelligence Science, 2024)

Research on Intelligent Computing and Trustworthy Machine Learning in Financial Complex Systems 🤖: Z Liu, K Zhang, Y Zheng, S Xu, J Qu investigate AI applications in financial systems. (2024 International Conference on Data-Driven Optimization)

Application Methods of Large Language Model Interpretability in FinTech Scenarios 💼: Z Liu, K Zhang, Y Zheng, Z Sun study LLM interpretability in financial technology. (2024 International Conference on Computer Communication and Artificial Intelligence)

Application of Visualization Methods in Neural Network Training Processes 👁️: Z Liu, K Zhang, Y Zheng, L Zheng examine neural network training visualization techniques. (2024 International Symposium on AI)

A New Era of Financial Services: How AI Enhances Investment Efficiency 💼📈: Z Liu, K Zhang, H Zhang explore AI’s role in improving investment practices. (International Studies of Economics, 2024)

alain R THIERRY | Data Science and Deep Learning | Excellence in Research

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Prof. alain R THIERRY  | Data Science and Deep Learning | Excellence in Research

Director of Research, INSERM U1194, France

Dr. alain R THIERRY, a distinguished biologist, and cancer researcher, is a Director of Research at INSERM and a key figure at the Institut de Recherche en Cancérologie de Montpellier. With an impressive track record in molecular biology, gene therapy, and cancer research, Dr. alain R THIERRY has held numerous influential positions in academia and the biotechnology sector, including roles at NIH and Georgetown University. A prolific author and scientific leader, they have also founded biotech companies like MedinCell and DiaDx. Dr. alain R THIERRYcontinues to drive innovative therapeutic solutions, recognized by international honors and awards.

Publication Profile

scholar

Education🎓 

2003: Habilitation à Diriger les Recherches (HDR) in Biology-Health, Université Montpellier II 1987: CES in Human Biology (Oncology), Faculté de Médecine Paris-Sud 1986: PhD in Biochemistry, Cellular & Molecular Pharmacology, Université Montpellier II 1983: MSc in Cellular & Molecular Biology, Université de Clermont-Ferrand II 1983: Diplôme d’Ingénieur, Université Clermont-Fd II 1982: BSc in Biological Sciences & Technology, Université Clermont-Fd

Professional Experience💼 

208-present: Director of Research, INSERM, Institut de Recherche en Cancérologie, Montpellier 2001-2007: Associate Professor, Université Montpellier II2003-2004: Director of R&D, MedinCell SA, Montpellier 1997-2000: Scientific Director, Gene Therapy Dept., Biovector Therapeutics 1992-1996: Scientist, Tumor Cell Biology Lab, NCI/NIH, Bethesda 1992-1994: Adjunct Assistant Professor, Lombardi Cancer Institute, Washington DC 1988-1992: Postdoctoral Fellow, Lombardi Cancer Center, Georgetown University

Awards and Honors🏆 

1994: Federal Technology Award, NIH, USA ($10,000) 2002: Prix National de l’Innovation, Ministry of Education and Research, Paris (€300,000) 2016: Grand Prix de l’Innovation Thérapeutique, Fondation B. Denys & FRM, Montpellier (€50,000) 2022: Finalist, Prix Innovation Unicancer 2022: Innovation Award, Montpellier Université Excellence

Research Focus 🔬 

Molecular Oncology: Pioneer in understanding the molecular pathways of cancer and therapeutic gene delivery Gene Therapy: Focus on targeted gene therapy to treat cancers, with expertise in vectors and delivery systems Circulating DNA: Breakthrough research in non-invasive biomarkers for early cancer detection
Therapeutics Innovation: Key developer of novel therapeutic strategies, including drug delivery systems and cancer diagnostics
Collaborative Research: Strong interdisciplinary collaborations in biotechnology and cancer research

Publication  Top Notes

  • Origins, structures, and functions of circulating DNA in oncology
    AR Thierry, S El Messaoudi, PB Gahan, P Anker, M Stroun
    Cancer and Metastasis Reviews, 2016 | 812 citations
  • Clinical validation of the detection of KRAS and BRAF mutations from circulating tumor DNA
    AR Thierry, F Mouliere, S El Messaoudi, C Mollevi, E Lopez-Crapez
    Nature Medicine, 2014 | 735 citations
  • Nomenclature for synthetic gene delivery systems
    PL Felgner, Y Barenholz, JP Behr, SH Cheng, P Cullis, L Huang, AR Thierry
    Human Gene Therapy, 1997 | 652 citations
  • High fragmentation characterizes tumour-derived circulating DNA
    F Mouliere, B Robert, E Arnau Peyrotte, M Del Rio, M Ychou, F Molina, AR Thierry
    PLOS One, 2011 | 627 citations
  • Circulating cell-free DNA: preanalytical considerations
    S El Messaoudi, F Rolet, F Mouliere, AR Thierry
    Clinica Chimica Acta, 2013 | 602 citations

Conclusion:

This individual is highly suitable for the Best Researcher Award. Their long-standing career in oncology research, leadership in both academic and biotech sectors, and recognition through awards place them in an elite category of researchers. Continued engagement in broader interdisciplinary fields and public communication could further elevate their profile. Overall, their qualifications, contributions, and leadership make them a strong candidate for excellence in research awards.

Aaron Brunk | Applied and Numerical Analysis | Best Researcher Award

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Dr. Aaron Brunk | Applied and Numerical Analysis | Best Researcher Award

Dr. Johannes-Gutenberg University, Germany

Dr. Aaron Brunk is a Post-Doc Research Fellow at Johannes Gutenberg-University Mainz, specializing in numerical mathematics under Prof. Dr. Maria M. Lukácová-Medvid’ová. He focuses on thermodynamically consistent fluid modeling, parabolic cross-diffusion system analysis, and structure-preserving method construction. Dr. Brunk completed his PhD with magna cum laude in 2022, studying viscoelastic phase separation. His work includes multiple DFG projects, with roles ranging from PhD student to Principal Investigator. He is an active academic contributor, organizing seminars and workshops, presenting at international conferences, and engaging in research stays and academic self-administration. His current research projects involve variational quantitative phase-field modeling and spinodal decomposition of polymer-solvent systems.

 

Professional Profiles:

Googlescholar

🎓 Education

Nov. 2017 – Feb. 2022: Ph.D. in Mathematics (Dr. rer. nat.), Johannes Gutenberg-University Mainz, GermanyDissertation: Viscoelastic phase separation: Well-posedness and numerical analysisDisputation: 11.02.2022Degree: Magna cum laudeSupervisor: Prof. Dr. Mária M. Lukáčová-Medvid’ováOct. 2015 – Nov. 2017: M.Sc. in Mathematics, Johannes Gutenberg-University Mainz, GermanyThesis: Numerische Behandlung von zeitgebrochenen DiffusionsgleichungenSupervisor: Prof. Dr. Thorsten RaaschOct. 2012 – Oct. 2015: B.Sc. in Mathematics, Johannes Gutenberg-University Mainz, GermanyThesis: Mathematische Modellierung von PhosphorylierungssystemenSupervisor: Prof. Dr. Alan Rendall

🎓 Professional Experience

Feb. 2022 – Present: Post-Doc Research Fellow, Institute of Mathematics, Johannes Gutenberg-University Mainz, GermanyGroup: Numerical MathematicsSupervisor: Prof. Dr. Mária M. Lukáčová-Medvid’ováActivities:🧪 Modelling of thermodynamically consistent complex fluids📊 Analysis of parabolic cross-diffusion systems🔧 Construction of structure-preserving methods for cross-diffusion systems👨‍🏫 Assistant in various tutorials and seminars📚 Independent lecturingNov. 2017 – Feb. 2022: Research Assistant, Institute of Mathematics, Johannes Gutenberg-University Mainz, GermanyGroup: Numerical MathematicsSupervisor: Prof. Dr. Mária M. Lukáčová-Medvid’ováActivities:🧪 Modelling and analysis of viscoelastic phase separation👨‍🏫 Assistant in various tutorials and seminars

📚 Third Party Projects

Sep. 2023 – Aug. 2026: German Research Foundation (DFG) – Principal InvestigatorProject: Variational quantitative phase-field modeling and simulation of powder bed fusion additive manufacturing within the DFG Priority Programme 2256Collaborator: B.-X. Xu, Technical University Darmstadt, Material ScienceFunded Ph.D. positionFeb. 2022 – Feb. 2026: German Research Foundation (DFG) – Postdoctoral ResearcherProject: Spinodal decomposition of polymer-solvent systems within the TRR 146 Multiscale Simulation Methods for Soft Matter SystemsPrincipal Investigators: M. Lukáčová-Medvid’ová, B. DünwegNov. 2017 – Feb. 2022: German Research Foundation (DFG) – Ph.D. studentProject: Spinodal decomposition of polymer-solvent systems within the TRR 146 Multiscale Simulation Methods for Soft Matter SystemsPrincipal Investigators: M. Lukáčová-Medvid’ová, B. Dünweg, H. Egger

✍️Publications Top Note :

Analysis of a Viscoelastic Phase Separation Model

Authors: A Brunk, B Dünweg, H Egger, O Habrich, M Lukáčová-Medvid’ová, …

Journal: Journal of Physics: Condensed Matter 33 (23), 234002, 2021

Citations: 19

Global Existence of Weak Solutions to Viscoelastic Phase Separation Part: I. Regular Case

Authors: A Brunk, M Lukáčová-Medvid’ová

Journal: Nonlinearity 35 (7), 3417, 2022

Citations: 14

Modelling Cell-Cell Collision and Adhesion with the Filament Based Lamellipodium Model

Authors: N Sfakianakis, D Peurichard, A Brunk, C Schmeiser

Journal: arXiv preprint arXiv:1809.07852, 2018

Citations: 10

Global Existence of Weak Solutions to Viscoelastic Phase Separation: Part II. Degenerate Case

Authors: A Brunk, M Lukáčová-Medvid’ová

Journal: Nonlinearity 35 (7), 3459, 2022

Citations: 9

Systematic Derivation of Hydrodynamic Equations for Viscoelastic Phase Separation

Authors: D Spiller, A Brunk, O Habrich, H Egger, M Lukáčová-Medvid’ová, …

Journal: Journal of Physics: Condensed Matter 33 (36), 364001, 2021

Citations: 9

Existence, Regularity and Weak-Strong Uniqueness for the Three-Dimensional Peterlin Viscoelastic Model

Authors: A Brunk, Y Lu, M Lukacova-Medvidova

Journal: arXiv preprint arXiv:2102.02422, 2021

Citations: 9

Chemotaxis and Haptotaxis on Cellular Level

Authors: A Brunk, N Kolbe, N Sfakianakis

Journal: Theory, Numerics and Applications of Hyperbolic Problems I: Aachen, Germany, …

Citations: 4

On Existence, Uniqueness and Stability of Solutions to Cahn–Hilliard/Allen–Cahn Systems with Cross-Kinetic Coupling

Authors: A Brunk, H Egger, TD Oyedeji, Y Yang, BX Xu

Journal: Nonlinear Analysis: Real World Applications 77, 104051, 2024

Citations: 3

Stability and Discretization Error Analysis for the Cahn–Hilliard System via Relative Energy Estimates

Authors: A Brunk, H Egger, O Habrich, M Lukáčová-Medviďová

Journal: ESAIM: Mathematical Modelling and Numerical Analysis 57 (3), 1297-1322, 2023

Citations: 3

Existence and Weak-Strong Uniqueness for Global Weak Solutions for the Viscoelastic Phase Separation Model in Three Space Dimensions

Authors: A Brunk

Journal: arXiv preprint arXiv:2208.01374, 2022

Citations: 3

Relative Energy and Weak–Strong Uniqueness of a Two‐Phase Viscoelastic Phase Separation Model

Authors: A Brunk, M Lukáčová‐Medvid’ová

Journal: ZAMM‐Journal of Applied Mathematics and Mechanics/Zeitschrift für Angewandte …, 2023

Citations: 2

Viscoelastic Phase Separation: Well-Posedness and Numerical Analysis

Authors: A Brunk

Journal: Dissertation, Mainz, Johannes Gutenberg-Universität Mainz, 2022

Citations: 2

Relative Energy Estimates for the Cahn-Hilliard Equation with Concentration Dependent Mobility

Authors: A Brunk, H Egger, O Habrich, M Lukacova-Medvidova

Journal: arXiv preprint arXiv:2102.05704, 2021

Citations: 2

Stability, Convergence, and Sensitivity Analysis of the FBLM and the Corresponding FEM

Authors: N Sfakianakis, A Brunk

Journal: Bulletin of Mathematical Biology 80, 2789-2827, 2018

Citations: 2

Fundamentals of the Oldroyd-B Model Revisited: Tensorial vs. Vectorial Theory

Authors: A Brunk, J Chaudhuri, M Lukacova-Medvidova, B Duenweg

Journal: arXiv preprint arXiv:2308.01326, 2023

Citations: 1

On Uniqueness and Stable Estimation of Multiple Parameters in the Cahn–Hilliard Equation

Authors: A Brunk, H Egger, O Habrich

Journal: Inverse Problems 39 (6), 065002, 2023

Citations: 1

A Second-Order Fully-Balanced Structure-Preserving Variational Discretization Scheme for the Cahn-Hilliard Navier-Stokes System

Authors: A Brunk, H Egger, O Habrich, M Lukacova-Medvidova

Journal: arXiv preprint arXiv:2209.03849, 2022

Citations: 1

Structure-Preserving Approximation of the Cahn-Hilliard-Biot System

Authors: A Brunk, M Fritz

Journal: arXiv preprint arXiv:2407.12349, 2024

Error Analysis for a Viscoelastic Phase Separation Model

Authors: A Brunk, H Egger, O Habrich, M Lukacova-Medvidova

Journal: arXiv preprint arXiv:2407.01803, 2024

Nonisothermal Cahn-Hilliard Navier-Stokes System

Authors: A Brunk, D Schumann

Journal: arXiv preprint arXiv:2405.13936, 2024

Dr. Katarina Djordjevic | Artificial Intelligence | Best Researcher Award

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Dr. Katarina Djordjevic | Artificial Intelligence | Best Researcher Award

Dr. Katarina Djordjevic, University of Belgrade, Serbia

Dr. Katarina Đorđević holds a PhD in Physics and is an expert in the physics of condensed matter and photoacoustics. She has significant experience in applying neural networks for material characterization, supervised machine learning, and solving inverse problems. Dr. Đorđević is skilled in numerical testing and developing measurement procedures, as well as utilizing computational intelligence algorithms in various applications. Her work involves a blend of theoretical and practical approaches, leveraging advanced computational techniques to enhance understanding and innovation in material sciences.

 

Professional Profiles:

Google Scholar

Intelligence 🚀

Dr. Katarina Đorđević, PhD in Physics, is a renowned expert with extensive experience in the physics of condensed matter, photoacoustics, and the application of neural networks in material characterization. Her diverse expertise spans multiple cutting-edge fields, making her a leading figure in both theoretical and applied physics.

🌟 Physics of Condensed Matter:

Dr. Đorđević’s work in condensed matter physics delves into the intricate properties of matter in various states, contributing to a deeper understanding of material behavior under different conditions.

🔊 Photoacoustics:

She is well-versed in photoacoustics, a technique that combines light and sound to probe the properties of materials. This innovative approach allows for non-invasive, highly precise material characterization.

🤖 Neural Networks & Material Characterization:

Leveraging neural networks, Dr. Đorđević has advanced the field of material characterization. Her research utilizes these artificial intelligence systems to analyze and predict material properties with unprecedented accuracy.

💻 Supervised Machine Learning:

A significant portion of her work involves supervised machine learning, where she trains models to recognize patterns and make predictions based on extensive datasets. This has vast applications in materials science and beyond.

🔄 Inverse Problem Solving:

Dr. Đorđević excels in solving inverse problems, which involve determining unknown causes from known consequences. This is crucial in many scientific and engineering disciplines, where direct measurement is challenging or impossible.

🔢 Numerical Testing & Measurement Procedures:

Her expertise extends to numerical testing and developing precise measurement procedures, ensuring accuracy and reliability in experimental physics.

🧠 Computational Intelligence Algorithms:

She applies advanced computational intelligence algorithms to tackle complex problems in physics and material science, driving innovation and efficiency in her research.Dr. Katarina Đorđević’s multidisciplinary approach and profound knowledge make her a standout scientist, continually pushing the boundaries of what is possible in physics and computational intelligence. 🌍🔬✨

📖 Publications Top Note :

1. Photoacoustic Measurements of the Thermal and Elastic Properties of n-type Silicon Using Neural Networks

Authors: КL Djordjević, DD Markushev, ŽМ Ćojbašić, KL Djordjević
Journal: Silicon 12 (6), 1289-1300, 2020
Citations: 21

2. Computationally Intelligent Description of a Photoacoustic Detector

Authors: MI Jordovic-Pavlovic, AD Kupusinac, KL Djordjevic, SP Galovic, …
Journal: Optical and Quantum Electronics 52, 1-14, 2020
Citations: 19

3. Development and Comparison of Techniques for Solving the Inverse Problem in Photoacoustic Characterization of Semiconductors

Authors: M Nesic, M Popovic, K Djordjevic, V Miletic, M Jordovic-Pavlovic, …
Journal: Optical and Quantum Electronics 53, 1-16, 2021
Citations: 17

4. Photoacoustic Optical Semiconductor Characterization Based on Machine Learning and Reverse-Back Procedure

Authors: КL Djordjevic, SP Galovic, MI Jordovic-Pavlovic, MV Nesic, MN Popovic, …
Journal: Optical and Quantum Electronics 52, 1-9, 2020
Citations: 16

5. Influence of Data Scaling and Normalization on Overall Neural Network Performances in Photoacoustics

Authors: КLj Djordjević, MI Jordović-Pavlović, ŽM Ćojbašić, SP Galović, MN Popović …
Journal: Optical and Quantum Electronics 54 (501), 31-35, 2022
Citations: 14*

6. Photothermal Response of Polymeric Materials Including Complex Heat Capacity

Authors: KL Djordjevic, D Milicevic, SP Galovic, E Suljovrujic, SK Jacimovski, …
Journal: International Journal of Thermophysics 43 (5), 68, 2022
Citations: 14

7. Estimation of Linear Expansion Coefficient and Thermal Diffusivity by Photoacoustic Numerical Self-Consistent Procedure

Authors: MV Nesic, MN Popovic, SP Galovic, KL Djordjevic, MI Jordovic-Pavlovic, …
Journal: Journal of Applied Physics 131 (10), 2022
Citations: 13

8. Sintering of Fly Ash Based Composites with Zeolite and Bentonite Addition for Application in Construction Materials

Authors: A Terzić, N Đorđević, M Mitrić, S Marković, K Đorđević, VB Pavlović
Journal: Science of Sintering 49 (1), 23-37, 2017
Citations: 13

9. Inverse Problem Solving in Semiconductor Photoacoustics by Neural Networks

Authors: KL Djordjevic, DD Markushev, ŽM Ćojbašić, SP Galović
Journal: Inverse Problems in Science and Engineering 29 (2), 248-262, 2021
Citations: 11

10. Use Neural Network in Photoacoustic Measurement of Thermoelastic Properties of Aluminum Foil

Authors: К Lj Djordjević, SP Galović, MN Popović, MV Nešić, IP Stanimirović, ZI …
Journal: Measurement, 111537, 2022
Citations: 10

 

Prof. Sanghun Jeon | Artificial Nerve System | Outstanding Scientist Award

Published on by Global Mechanics Awards

Prof. Sanghun Jeon | Artificial Nerve System | Outstanding Scientist Award

Prof. Sanghun Jeon, Korea Advanced Institute of Science and Technology, South Korea

Prof. Sanghun Jeon is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

 

Professional Profiles:

Google scholar

Education 🎓

Gwangju Institute of Science and Technology (GIST)
Ph.D. degree in Electronic Materials Program (with Best Paper Award Honors), Feb. 2003
Dissertation Title: Studies of the electrical and physical characteristics of ultrathin high k gate dielectrics for metal-oxide-semiconductor (MOS) device applications

Experience 🧑‍🔬

KAIST (Google Scholar: In total, 12081 citations, h-index 53. Since 2019, 6343 citations, h-index 38)
Feb. 2018 – Present
Tenured Full Professor, School of Electrical EngineeringLaunched research efforts in AI semiconductors using functional ferroelectric materials and devices, IoT sensors, and stretchable displays.KOREA University (with Seoktap Research Awards)
Mar. 2013 – Feb. 2018
Associate Professor, Department of Applied PhysicsLaunched research efforts in wearable sensors, multimodal sensors, hafnia ferroelectric 1T DRAM, and hafnia ferroelectric tunnel junctions for logic-in-memory device applications.SAMSUNG ELECTRONICS and SAMSUNG Advanced Institute of Technology
Mar. 2003 – Feb. 2013
Senior and Principal Research Staff MemberPerformed research on oxide thin-film transistors for CMOS image sensors, displays, photo-sensors, and high-power devices.Process and device engineer for graphene, 3D transistors, and hybrid semiconductor devices.Developed the world’s first 32Gb NAND Flash Technology (4X nm generation, 2006) and 8Gb & 16Gb NAND Flash Technology (6Xnm generation, 2005) using charge trap flash memory devices.

Research Interests 🔍

NAND Flash with Ferroelectric MaterialsHybrid NAND Flash with Negative Capacitance Ferroelectric MaterialsHigh Dielectric Constant Morphotropic Phase Materials for DRAM CapacitorsHfO2 1T DRAM Nonvolatile Logic Device for Deep Learning ApplicationsComputing-in-Memory Hardware: 3-Terminal Device and Architecture for Deep Neural NetworksFerroelectric Tunnel JunctionsTextile Sensors for Wearable/Flexible ElectronicsAI-Inspired Tactile Sensing Applications with Machine Learning Algorithms

Academic Contribution 📚

IEEE Senior MemberVice Chair of Advanced and Emerging Memories / New Applications in International Conference on Solid State Device and Materials (SSDM) (2015 – Present)Associate Editor of Springer Nanoconvergence (2018 – Present)Associate Editor of IEEE/OSA Journal of Display Technology (2013 – 2016)Organizing Committee and Track Chair of IEEE FLEPS (2021 – Present)Public Chair of IEEE FLEPS (2022)Focused Session Chair of IEEE FLEPS (2023 – 2024)Editorial Board Member of Nature Publication Group Scientific Reports (2015 – Present)Editorial Board Member of IEEE Journal on Flexible Electronics (2022 – Present)

Awards 🏆

Springer Nano Convergence Contribution Award (2022)KAIST Best Lecturer Award (2022)SK Hynix IDEA Silver Award (2019)KOREA University SEOKTAP Research Award (2018)Samsung Future Technology Foundation Research Grant (2017)IAAM Young Scientist Award Medal (2016)IMID Best Paper Award (2016)Samsung Paper Champion Award (2013)Samsung Advanced Institute of Technology Innovation Award (2012)Samsung Best Paper Award (2011)Samsung Group Grand Award (2006)Young Researcher Award (2002)

📖 Publications Top Note :

Highly Stretchable Resistive Pressure Sensors Using a Conductive Elastomeric Composite on a Micropyramid Array

CL Choong, MB Shim, BS Lee, S Jeon, DS Ko, TH Kang, J Bae, SH Lee, …
Journal: Advanced Materials
Citations: 1221
Year: 2014

Highly Stretchable Electric Circuits from a Composite Material of Silver Nanoparticles and Elastomeric Fibres

M Park, J Im, M Shin, Y Min, J Park, H Cho, S Park, MB Shim, S Jeon, …
Journal: Nature Nanotechnology
Citations: 943
Year: 2012

High Performance Amorphous Oxide Thin Film Transistors with Self-Aligned Top-Gate Structure

JC Park, SW Kim, SI Kim, H Yin, JH Hur, SH Jeon, SH Park, IH Song, …
Journal: IEEE International Electron Devices Meeting (IEDM)
Citations: 623
Year: 2009

Gated Three-Terminal Device Architecture to Eliminate Persistent Photoconductivity in Oxide Semiconductor Photosensor Arrays

S Jeon, SE Ahn, I Song, CJ Kim, UI Chung, E Lee, I Yoo, A Nathan, S Lee, …
Journal: Nature Materials
Citations: 480
Year: 2012

A Flexible Bimodal Sensor Array for Simultaneous Sensing of Pressure and Temperature

NT Tien, S Jeon, DI Kim, TQ Trung, M Jang, BU Hwang, KE Byun, J Bae, …
Journal: Advanced Materials
Citations: 436
Year: 2014

Trap-Limited and Percolation Conduction Mechanisms in Amorphous Oxide Semiconductor Thin Film Transistors

S Lee, K Ghaffarzadeh, A Nathan, J Robertson, S Jeon, C Kim, IH Song, …
Journal: Applied Physics Letters
Citations: 306
Year: 2011

HfZrOx-Based Ferroelectric Synapse Device with 32 Levels of Conductance States for Neuromorphic Applications

S Oh, T Kim, M Kwak, J Song, J Woo, S Jeon, IK Yoo, H Hwang
Journal: IEEE Electron Device Letters
Citations: 246
Year: 2017

Effect of Hygroscopic Nature on the Electrical Characteristics of Lanthanide Oxides

S Jeon, H Hwang
Journal: Journal of Applied Physics
Citations: 190
Year: 2003

Metal Oxide Thin Film Phototransistor for Remote Touch Interactive Displays

SE Ahn, I Song, S Jeon, YW Jeon, Y Kim, C Kim, B Ryu, JH Lee, A Nathan, …
Journal: Advanced Materials
Citations: 166
Year: 2012

Amorphous Oxide Semiconductor TFTs for Displays and Imaging

A Nathan, S Lee, S Jeon, J Robertson
Journal: Journal of Display Technology
Citations: 165
Year: 2014

Hot Carrier Trapping Induced Negative Photoconductance in InAs Nanowires Toward Novel Nonvolatile Memory

Y Yang, X Peng, HS Kim, T Kim, S Jeon, HK Kang, W Choi, J Song, …
Journal: Nano Letters
Citations: 164
Year: 2015

Persistent Photoconductivity in Hf–In–Zn–O Thin Film Transistors

K Ghaffarzadeh, A Nathan, J Robertson, S Kim, S Jeon, C Kim, UI Chung, …
Journal: Applied Physics Letters
Citations: 162
Year: 2010

The Effect of the Bottom Electrode on Ferroelectric Tunnel Junctions Based on CMOS-Compatible HfO2

Y Goh, S Jeon
Journal: Nanotechnology
Citations: 152
Year: 2018

Instability in Threshold Voltage and Subthreshold Behavior in Hf–In–Zn–O Thin Film Transistors Induced by Bias-and Light-Stress

K Ghaffarzadeh, A Nathan, J Robertson, S Kim, S Jeon, C Kim, UI Chung, …
Journal: Applied Physics Letters
Citations: 133
Year: 2010

Oxygen Vacancy Control as a Strategy to Achieve Highly Reliable Hafnia Ferroelectrics Using Oxide Electrode

Y Goh, SH Cho, SHK Park, S Jeon
Journal: Nanoscale
Citations: 123
Year: 2020

Non-Volatile Semiconductor Memory Device with Alternative Metal Gate Material

SH Jeon, J Han, C Kim
Journal: US Patent 7,391,075
Citations: 122
Year: 2008

Electrical Characteristics of Prepared by Annealing of

S Jeon, CJ Choi, TY Seong, H Hwang
Journal: Applied Physics Letters
Citations: 119
Year: 2001

180nm Gate Length Amorphous InGaZnO Thin Film Transistor for High Density Image Sensor Applications

S Jeon, S Park, I Song, JH Hur, J Park, S Kim, S Kim, H Yin, E Lee, S Ahn, …
Journal: International Electron Devices Meeting
Citations: 116
Year: 2010

Transparent Semiconducting Oxide Technology for Touch Free Interactive Flexible Displays

S Lee, S Jeon, R Chaji, A Nathan
Journal: Proceedings of the IEEE
Citations: 114
Year: 2015

Excellent Electrical Characteristics of Lanthanide (Pr, Nd, Sm, Gd, and Dy) Oxide and Lanthanide-Doped Oxide for MOS Gate Dielectric Applications

S Jeon, K Im, H Yang, H Lee, H Sim, S Choi, T Jang, H Hwang
Journal: International Electron Devices Meeting
Citations: 114
Year: 2001

Prof. Yang Zhao | Meteorology Artificial Intelligence | Young Scientist Award

Published on by Global Mechanics Awards

Prof. Yang Zhao | Meteorology Artificial Intelligenc | Young Scientist Award

Prof. Yang Zhao, Ocean University of China, China

Prof. Yang Zhao is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

Google scholar

Orcid

Educational Background🎓

2016.09 – 2019.06: Ph.D. in Meteorology Chinese Academy of Meteorological Sciences, China & Nanjing University of  Science & Technology, Ch Supervisor: Prof. Xiangde Xu 2013.09 – 2016.06: Master of Science in Meteorology Chinese Academy of Meteorological Sciences, China Supervisor: Prof. Xiangde Xu 2009.09 – 2013.06: Bachelor of Science in Atmospheric Science Chengdu University of  Technology, China

Honors and Major Awards🏆

Outstanding Graduate Student, Chinese Academy of Meteorological Sciences (2019)Outstanding Graduate Student, Nanjing University of  Science & Technology (2019)Presidential Scholarship, Nanjing University of Science & Technology (2018)
National Scholarship, Nanjing University of  Science & Technology (2018) First Class Scholarship for Ph.D. Student, Nanjing Universityof  Science & Technology (2018) The First Prize of Outstanding Graduate Student Award, China Meteorological Administration (2017) Excellent Organization Award of Summer School, Chinese Academy of Meteorology (2015)

🔬 Research Area: 

Synoptic-scale Atmospheric Dynamics (Jet, Front, Storm Tracks, Cyclones, Rossby waves)  Atmospheric Water Cycle (Moisture sources, Moisture channel, Atmospheric Rivers) Machine Learning and Deep Learning (Atmospheric Rivers) Climate Dynamics; Future precipitation prediction (ENSO-Volcano; CMIP6)

📖 Publications  Top Note :

The third atmospheric scientific experiment for understanding the earth–atmosphere coupled system over the Tibetan Plateau and its effects

Authors: P Zhao, X Xu, F Chen, X Guo, X Zheng, L Liu, Y Hong, Y Li, Z La, H Peng, …

Bulletin of the American Meteorological Society, 99(4), 757-776, 2018

Spatiotemporal variation in the impact of meteorological conditions on PM2.5 pollution in China from 2000 to 2017

Authors: Yanlin Xu, Wenbo Xue, Yi Lei, Qing Huang, Yang Zhao, Shuiyuan Cheng, Zhenhai …

Atmospheric Environment, 77, 2020

Impact of Meteorological Conditions on PM2.5 Pollution in China during Winter

Authors: Y Xu, W Xue, Y Lei, Y Zhao, S Cheng, Z Ren, Q Huang

Atmosphere, 9(11), 429, 2018

Effect of the Asian Water Tower over the Qinghai-Tibet Plateau and the characteristics of atmospheric water circulation

Authors: X Xu, L Dong, Y Zhao, Y Wang

Chin. Sci. Bull, 64(27), 2830-2841, 2019

Vertical structures of dust aerosols over East Asia based on CALIPSO retrievals

Authors: D Liu, T Zhao, R Boiyo, S Chen, Z Lu, Y Wu, Y Zhao

Remote Sensing, 11(6), 701, 2019

Trends in observed mean and extreme precipitation within the Yellow River Basin, China

Authors: Y Zhao, X Xu, W Huang, Y Wang, Y Xu, H Chen, Z Kang

Theoretical and applied climatology, 136, 1387-1396, 2019

Enhancement of the summer extreme precipitation over North China by interactions between moisture convergence and topographic settings

Authors: Yang Zhao, Deliang Chen, Jiao Li, Dandan Chen, Yi Chang, Juan Li, Rui Qin

Climate Dynamics, 38, 2020

Extreme precipitation events in East China and associated moisture transport pathways

Authors: Y Zhao, XD Xu, TL Zhao, HX Xu, F Mao, H Sun, YH Wang

Science China Earth Sciences, 59, 1854-1872, 2016

The large‐scale circulation patterns responsible for extreme precipitation over the North China plain in midsummer

Authors: Y Zhao, X Xu, J Li, R Zhang, Y Kang, W Huang, Y Xia, D Liu, X Sun

Journal of Geophysical Research: Atmospheres, 124(23), 12794-12809, 2019

Are precipitation anomalies associated with aerosol variations over eastern China?

Authors: X Xu, X Guo, T Zhao, X An, Y Zhao, J Quan, F Mao, Y Gao, X Cheng, …

Atmospheric Chemistry and Physics, 17(12), 8011-8019, 2017

Dr. Yong Wang | computational Award | Best Researcher Award

Published on by Global Mechanics Awards

Dr. Yong Wang | computational Award | Best Researcher Award

Dr. Yong Wang, Zhejiang University, China

Dr. Yong Wang is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

Professional Profiles:

Google scholar

orcid

🎓 Teaching and Tutoring

Jury for International Biosensor Competition: SensUs 2023 (2023)Supervisor for TruSense, Zhejiang University (2021-)Teacher for Ingenious Synthetic Biology, Zhejiang University (2022-)Teaching Assistant for Advanced Protein Science 2 – Protein Structure Determination (graduate course), University of Copenhagen (2020, 2019)Teaching Assistant for Advanced Protein Science (graduate course), University of Copenhagen (2015)Tutor for Postdoc, PhD, MSc, and BSc students.

📝 Editorial Roles

Academic Editor for PLoS One (2023-)Associate Editor for Frontiers in Molecular Biosciences (2021-)Editorial Board Member of Peer J (2023-)Ad Hoc Young Editorial Board Member of Journal of Molecular Cell Biology (JMCB) (2020-)Second Youth Editorial Board Member of Asian Journal of Pharmaceutical Sciences (2023-)

🔍 Reviewer

Journal Reviewer for prestigious journals.Grant Reviewer for the Dutch Research Council (NWO) Computational Grants.

👥 Memberships

Member of the PLUMED ConsortiumMember of the American Society for Biochemistry and Molecular BiologyMember of Chinese Chemical Society

AWARDS & GRANTS🏆

Recognition for contributions:Zhejiang Provincial National Science Foundation (No. XXX) (300 K ¥) 2024-2026National Science Foundation of China (No. 32371300) (500 K ¥) 2024-2027Start-up funding of Zhejiang University (4.0 M ¥) 2021-2027National Key R & D Program of China (No. 2021YFF1200404) (4.55 M ¥) 2021-2024Fundamental Research Funds for the Central Universities of China (No. K20220228) (900 K ¥) 2022-2024HPC-Europa3 Transnational Access program for visiting Max Planck Institute for Biophysical Chemistry Spring of 2020EMBO Short-term Fellowship for visiting Prof. Michele Parrinello lab at ETH Zurich, Switzerland Spring of 2016The PhD Scholarship at the Department of Biology, University of Copenhagen (2013-2016)

Citations: 1547

h-index: 23

i10-index: 31

And if we consider the second set:

Citations: 1074

h-index: 21

i10-index: 30

📖 Publications  Top Note :

A Computational and Chemical Design Strategy for Manipulating Glycan-Protein Recognition

Q Zhu, D Geng, J Li, J Zhang, H Sun, Z Fan, J He, N Hao, Y Tian, L Wen, …

Advanced Science, 2024

Diverse roles of the metal binding domains and transport mechanism of copper transporting P-type ATPases

Z Guo, F Orädd, V Bågenholm, C Grønberg, JF Ma, P Ott, Y Wang, …

Nature Communications, 2609, 2024

Dissecting the mechanism of atlastin-mediated homotypic membrane fusion at the single-molecule level

L Shi, C Yang, M Zhang, K Li, K Wang, L Jiao, R Liu, Y Wang, M Li, …

Nature Communications, 2488, 2024

Euglena’s atypical respiratory chain adapts to the discoidal cristae and flexible metabolism

Z He, M Wu, H Tian, L Wang, Y Hu, F Han, J Zhou, Y Wang, L Zhou

Nature Communications, 1628, 2024

Structures and ion transport mechanisms of plant high-affinity potassium transporters

J Wang, Y Luo, F Ye, ZJ Ding, SJ Zheng, S Qiao, Y Wang, J Guo, W Yang, …

Molecular Plant, 2024

Structural basis for sugar perception by Drosophila gustatory receptors

D Ma, M Hu, X Yang, Q Liu, F Ye, W Cai, Y Wang, X Xu, S Chang, R Wang, …

Science, eadj2609, 2024

PAFAH2 suppresses synchronized ferroptosis to ameliorate acute kidney injury

Q Zhang, T Sun, F Yu, W Liu, J Gao, J Chen, H Zheng, J Liu, C Miao, …

Nature Chemical Biology, 1-12, 2024

Structure and mechanism of Zorya anti-phage defense system

H Hu, TCD Hughes, PF Popp, A Roa-Eguiara, FJO Martin, N Rutbeek, …

bioRxiv, 1, 2024

The effect of linker conformation on performance and stability of a two-domain lytic polysaccharide monooxygenase

Z Forsberg, AA Stepnov, G Tesei, Y Wang, E Buchinger, SK Kristiansen, …

Journal of Biological Chemistry, 299 (11), 2023

Ex vivo structures from spinach leaves

J Wang, NT Johansen, LF Gamon, Z Zhao, Z Guo, Y Wang, AT Fuglsang, …

biorxiv, 2023