Zhansheng Wu | Enzyme immobilization | Best Researcher Award

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Prof. Zhansheng Wu | Enzyme immobilization | Best Researcher Award

Professor at  Xi’an Polytechnic University, China

🌟 Dr. Zhansheng Wu is a Vice President of the School of Environmental and Chemical Engineering at Xi’an Polytechnic University. 📚 A third-level professor, doctoral supervisor, and renowned scientist, he has led prestigious projects under China’s National Natural Science Foundation and the National Key R&D Program. 🌏 Recognized globally, he is among the top 2% of scientists worldwide and serves as an editorial board member of Biochar and Carbon Research. His contributions center around clean ecological dyeing, biological and environmental chemical industries, and material sciences.

Professional Profiles:

orcid

Education🎓 

2017.4–2017.5: University of California, Los Angeles – Study. 2015.12–2016.5: University of Turin – Visiting Scholar. 2008.8–2011.6: Beijing Institute of Technology – Doctorate in Biochemistry  2003.8–2006.6: Shihezi University – Master’s in Food Science & Engineering  1999.8–2003.6: Shihezi University – Bachelor’s in Food Science & Engineering.

Experience🛠️ 

Vice President and Professor, Xi’an Polytechnic University.  Chief Scientist of Shaanxi Province’s “Qin Chuangyuan” team  Project Leader for National Key Research & Development Plan (2021–2024). Editorial Board Member for Biochar and Carbon Research. Visiting Scholar, University of Turin (2015–2016).

Awards and Honors🏅

Approved by National Natural Science Foundation of China – Young Talents Fund.  Listed in the Top 100,000 Scientists and Top 2% globally.  Leader of Shaanxi’s “Qin Chuangyuan” Scientist + Engineer Team. Published in top journals like Chemical Engineering Journal (IF > 16.7).

Research Focus🔍

Clean ecological dyeing and finishing technologies.  Development of biochar-based bactericide systems for soil improvement. Photocatalysis for environmental remediation and water treatment. Sustainable agricultural practices with biochar innovations. Exploring chemical-material industry advancements.

✍️Publications Top Note :

  • Biochar and Environmental Applications:
    • Prediction of biochar yield and specific surface area using advanced algorithms.
    • Multi-functional biochar composites for pollution control and fertilizer applications.
  • Metal-Organic Frameworks (MOFs):
    • Amino-functionalized MOFs for enzyme stability and organic pollutant degradation.
    • Hollow MOFs designed for enzyme immobilization and rare ginsenoside synthesis.
  • Photocatalysis and Functional Materials:
    • Development of heterojunction photocatalysts for efficient degradation of pollutants.
    • N-doped Ti3C2Tx-MXene-modified photocatalysts for enhanced photocatalytic ammonia synthesis.
  • Biocontrol and Environmental Microbiology:
    • Identification and genetic characterization of biocontrol strains with siderophilic properties.
    • Bioreduction of hexavalent chromium using Bacillus subtilis enhanced with humic acid.
  • Innovative Enzyme Immobilization:
    • Enhancements in enzyme loading and activity for industrial pollutant degradation.
  • Nanomaterials and Wastewater Treatment:
    • Strategies leveraging BaTiO3 piezocatalysis for vibration energy harvesting and water purification.
    • Functionalized ZnO/ZnSe composites for organic dye wastewater treatment.
  • Agricultural and Environmental Stress:
    • Applications of microcapsules for Capsicum growth under salt stress.

Conclusion

Zhansheng Wu stands as a stellar candidate for the Best Researcher Award due to his groundbreaking work in environmental chemical engineering and materials science. His extensive contributions to sustainable technologies, particularly in photocatalysis and biochar systems, have significantly advanced global environmental goals. While there is room to enhance the societal impact and commercialization aspects of his research, his academic excellence, leadership in high-value projects, and international recognition firmly establish him as a deserving contender for this prestigious award.

Xiaolin Yang | CImage analysis | Best Researcher Award

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Dr. Xiaolin Yang | Image analysis | Best Researcher Award

Dr at China university of mining and technology, China

Xiaolin Yang is a skilled Business Analyst and Postdoctoral Researcher at Henan Investment Group. With a solid background in mineral process engineering, his expertise spans industry research, project management, and production optimization. Xiaolin holds a Bachelor’s and a Ph.D. in Mineral Process Engineering from the China University of Mining and Technology, specializing in mineral processing, machine learning, and image analysis. His dedication to academic excellence and practical application makes him a valuable asset in the mineral industry.

Publication Profile

scopus

Education🎓 

.Bachelor of Mineral Process Engineering | China University of Mining and Technology, 2015–2019 | Focus: Mineral separation methods and equipment. Doctor of Mineral Process Engineering | China University of Mining and Technology, 2019–2024 | Research areas: Mineral processing, machine learning, image analysis. Xiaolin’s academic journey emphasized innovation in mineral separation, blending engineering with data science to improve mineral processing efficiency and accuracy.

Experience💼 

Postdoctoral Researcher | Henan Investment Group, 2024–Present | Xiaolin’s role involves comprehensive industry research, preparing assessment reports, and offering investment insights and recommendations. His project management tasks focus on feasibility assessments and evaluating the effectiveness of production processes, aiming to optimize industrial production and implement innovative solutions in mineral processing.

Awards and Honors🏆 

Published Author | Xiaolin has authored notable academic articles, such as in Journal of Materials Research and Technology (2021), Energy (2022), and Expert Systems with Applications (2024). His work, recognized for its significance in mineral processing and machine learning, highlights his expertise in utilizing advanced algorithms for practical industry challenges.

Research Focus🔍

Research Interests | Xiaolin’s research delves into mineral processing, machine learning applications, and image analysis. His studies, including deep learning for ash determination in coal flotation, explore novel algorithms to enhance mineral processing accuracy, bridging engineering and artificial intelligence for industrial optimization.

Publication  Top Notes

Multi-scale neural network for accurate determination of ash content in coal flotation concentrate

Authors: Yang, X., Zhang, K., Thé, J., Tan, Z., Yu, H.

Journal: Expert Systems with Applications, 2025, 262, 125614

Description: This paper presents a multi-scale neural network model that accurately determines ash content in coal flotation concentrate using froth images, leveraging deep learning to enhance mineral processing efficiency.

STATNet: One-stage coal-gangue detector for real industrial applications

Authors: Zhang, K., Wang, T., Yang, X., Tan, Z., Yu, H.

Journal: Energy and AI, 2024, 17, 100388

Description: The STATNet model is introduced as a coal-gangue detection system using a one-stage deep learning algorithm, tailored for industrial application with a focus on real-time processing.

COFNet: Predicting surface area of covalent-organic frameworks

Authors: Wang, T., Yang, X., Zhang, K., Tan, Z., Yu, H.

Journal: Chemical Physics Letters, 2024, 847, 141383

Description: COFNet utilizes deep learning to predict the specific surface area of covalent-organic frameworks, combining structural image analysis with statistical features for accurate predictions.

Enhancing coal-gangue detection with GAN-based data augmentation

Authors: Zhang, K., Yang, X., Xu, L., Tan, Z., Yu, H.

Journal: Energy, 2024, 287, 129654

Description: This study employs GAN-based data augmentation and a dual attention mechanism to improve coal-gangue object detection, aiming to refine accuracy in complex industrial environments.

Multi-step carbon price forecasting using hybrid deep learning models

Authors: Zhang, K., Yang, X., Wang, T., Tan, Z., Yu, H.

Journal: Journal of Cleaner Production, 2023, 405, 136959

Description: A hybrid deep learning model for multi-step forecasting of carbon prices is proposed, integrating multivariate decomposition to enhance predictive reliability.

PM2.5 and PM10 concentration forecasting with spatial–temporal attention networks

Authors: Zhang, K., Yang, X., Cao, H., Tan, Z., Yu, H.

Journal: Environment International, 2023, 171, 107691

Description: This article introduces a spatial–temporal attention mechanism for PM2.5 and PM10 forecasting, using convolutional neural networks with residual learning to tackle air quality predictions.

Ash determination of coal flotation concentrate using hybrid deep learning model

Authors: Yang, X., Zhang, K., Ni, C., Tan, Z., Yu, H.

Journal: Energy, 2022, 260, 125027

Description: This work features a hybrid model that utilizes deep learning and attention mechanisms to determine ash content in coal flotation, contributing to process optimization.

Influence of cation valency on flotation of chalcopyrite and pyrite

Authors: Yang, X., Bu, X., Xie, G., Chehreh Chelgani, S.

Journal: Journal of Materials Research and Technology, 2021, 11, pp. 1112–1122

Description: This comparative study explores how different cation valencies affect chalcopyrite and pyrite flotation, contributing to better separation techniques in mineral processing.

Conclusion

Xiaolin Yang is a compelling candidate for the Best Researcher Award. His strengths in applying AI and image analysis to mineral processing reflect a unique skill set that is highly relevant for advancing research and industry practices. With further interdisciplinary work and expanded research visibility, Xiaolin is well-positioned to make impactful contributions and earn recognition in his field.

Jinxia Zhang | Defect detection | Best Researcher Award

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Assoc Prof Dr. Jinxia Zhang | Defect detection | Best Researcher Award

 Associate Professor at Southeast University, China

Assoc Prof Dr. Jinxia Zhang is an Associate Professor at Southeast University, Nanjing, China, specializing in saliency detection, visual attention, computer vision, and deep learning. With a Ph.D. in Pattern Recognition and Intelligent Systems from Nanjing University of Science and Technology, he has extensive experience in artificial intelligence research. His journey includes time as a visiting scholar at Harvard Medical School and numerous prestigious research projects funded by national foundations. Assoc Prof Dr. Jinxia Zhang leads key AI initiatives, driving innovations in multimodal understanding, defect analysis, and object detection. His academic and professional contributions have positioned him as a prominent researcher in visual computing and AI.

Publication Profile

scholar

Education 🎓

Assoc Prof Dr. Jinxia Zhang  earned his M.Sc. and Ph.D. in Pattern Recognition and Intelligent Systems from Nanjing University of Science and Technology in 2015. His doctoral research laid a foundation for his interest in artificial intelligence, particularly in areas like visual attention and computer vision. Prior to his postgraduate work, he completed his B.Sc. in Computer Science and Technology at the same institution in 2009, where he developed a solid understanding of computational theories and applications. His education has provided him with both theoretical knowledge and practical skills that are central to his current research on AI and deep learning.Assoc Prof Dr. Jinxia Zhang  is currently an Associate Professor at Southeast University, Nanjing, a role he has held since 2019. From 2016 to 2019, he served as a Lecturer at the same university, where he significantly contributed to AI teaching and research. His early career included a prestigious stint as a Visiting Scholar at Harvard Medical School, USA, between 2012 and 2014, where he collaborated on cutting-edge AI-driven healthcare projects. His international exposure and academic roles have enriched his teaching and research, particularly in computer vision and AI, making him a key figure in the field.

Awards and Honors  🏆

Assoc Prof Dr. Jinxia Zhang  has received numerous accolades for his research excellence and contributions to the field of AI. He was awarded the National Natural Science Foundation of China grant in 2018 for his project on salient object detection. In 2017, he secured the Jiangsu Natural Science Foundation Grant for his innovative research on visual cognitive characteristics. Additionally, his work in defect diagnosis for photovoltaic modules was recognized as part of the National Key Research and Development Plan. These prestigious awards underscore his pioneering contributions in artificial intelligence and computer vision research.

Research Focus  🔬

Assoc Prof Dr. Jinxia Zhang ‘s research focuses on the intersection of visual attention, saliency detection, and deep learning within artificial intelligence. He leads projects on multimodal understanding and e-commerce applications, and is a Principal Investigator for research into AI-based fruit and vegetable recognition. His earlier work in defect diagnosis for photovoltaic modules and salient object detection in complex scenes has been supported by prominent grants. His innovative approach combines perceptual grouping and visual attention to develop cutting-edge solutions in computer vision, making significant advancements in how machines perceive and interact with visual data.

Conclusion

The candidate demonstrates an impressive body of work across several domains of artificial intelligence, particularly in salient object detection, visual cognition, and multimodal learning. Their academic achievements, project leadership, and dedication to advancing AI make them a strong contender for the Best Researcher Award. By continuing to broaden their industry collaborations and expanding the scope of their research impact, they can become a globally recognized leader in AI and computer vision.

Publication  Top Notes

  • Towards the Quantitative Evaluation of Visual Attention Models (2015)
    • Citation: 75
    • Journal: Vision Research
    • Key Contributors: Z. Bylinskii, E.M. DeGennaro, R. Rajalingham, H. Ruda, J. Zhang, J.K. Tsotsos
    • Highlights: Focuses on quantitative approaches to evaluate visual attention models, essential for improving saliency detection.
  • A Novel Graph-Based Optimization Framework for Salient Object Detection (2017)
    • Citation: 63
    • Journal: Pattern Recognition
    • Key Contributors: J. Zhang, K.A. Ehinger, H. Wei, K. Zhang, J. Yang
    • Highlights: Presents a new graph-based optimization method for enhancing the accuracy of salient object detection.
  • Salient Object Detection by Fusing Local and Global Contexts (2020)
    • Citation: 60
    • Journal: IEEE Transactions on Multimedia
    • Key Contributors: Q. Ren, S. Lu, J. Zhang, R. Hu
    • Highlights: This paper integrates both local and global visual contexts to refine salient object detection in multimedia applications.
  • Inter-Hour Direct Normal Irradiance Forecast with Multiple Data Types and Time-Series (2019)
    • Citation: 36
    • Journal: Journal of Modern Power Systems and Clean Energy
    • Key Contributors: T. Zhu, H. Zhou, H. Wei, X. Zhao, K. Zhang, J. Zhang
    • Highlights: Introduces a time-series forecasting model for direct normal irradiance, benefiting renewable energy systems.
  • Winter is Coming: How Humans Forage in a Temporally Structured Environment (2015)
    • Citation: 35
    • Journal: Journal of Vision
    • Key Contributors: D. Fougnie, S.M. Cormiea, J. Zhang, G.A. Alvarez, J.M. Wolfe
    • Highlights: Examines human visual foraging behavior in dynamically changing environments.
  • Domain Adaptation for Epileptic EEG Classification Using Adversarial Learning and Riemannian Manifold (2022)
    • Citation: 25
    • Journal: Biomedical Signal Processing and Control
    • Key Contributors: P. Peng, L. Xie, K. Zhang, J. Zhang, L. Yang, H. Wei
    • Highlights: This paper explores domain adaptation techniques to improve epileptic EEG classification through adversarial learning.
  • A Lightweight Network for Photovoltaic Cell Defect Detection in Electroluminescence Images (2024)
    • Citation: 23
    • Journal: Applied Energy
    • Key Contributors: J. Zhang, X. Chen, H. Wei, K. Zhang
    • Highlights: Develops a lightweight neural network for detecting defects in photovoltaic cells using knowledge distillation.
  • Salient Object Detection via Deformed Smoothness Constraint (2018)
    • Citation: 21
    • Journal: IEEE International Conference on Image Processing (ICIP)
    • Key Contributors: X. Wu, X. Ma, J. Zhang, A. Wang, Z. Jin
    • Highlights: Proposes a deformed smoothness constraint approach for improving salient object detection.
  • Character Recognition via a Compact Convolutional Neural Network (2017)
    • Citation: 20
    • Conference: International Conference on Digital Image Computing
    • Key Contributors: H. Zhao, Y. Hu, J. Zhang
    • Highlights: Develops a compact CNN for robust character recognition in natural scene images.
  • A Prior-Based Graph for Salient Object Detection (2014)
    • Citation: 23
    • Conference: IEEE International Conference on Image Processing (ICIP)
    • Key Contributors: J. Zhang, K.A. Ehinger, J. Ding, J. Yang
    • Highlights: Uses a prior-based graph model to enhance the performance of salient object detection algorithms.

Md Mahfuzur Rahman | Cellulose | Best Researcher Award

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Dr.  Bangladesh University of Textiles, Bangladesh

I am currently pursuing a B.Sc. degree in Textile Engineering with a specialization in Industrial and Production Engineering at the Bangladesh University of Textiles (BUTEX) in Bangladesh. Since 2018, I have been working as a research assistant at both BUTEX and North South University (NSU). My research interests include Nanomaterials & Nanomechanics, Semiconductor Electrophysics, Magnetic Materials, Wearable Smart Textiles, Biomedical applications, Thin Film Magnetism, First-principle DFT studies, and Engineered 2D Quantum Materials. I have previously conducted research on ferrite nanomaterials, synthesizing and characterizing their properties, as well as sustainable textiles. I have recently been working on smart textiles and experimental and DFT analysis of perovskite materials. Moreover, I actively participated in various clubs, including BUTEX Sports Club and BUTEX Youth Development Club, which honed my leadership and event management skills. From an early age, mathematics has been my favorite subject, and I have actively participated in the Bangladesh Mathematical Olympiad, achieving two awards. Additionally, in 2016, I secured the 12th position in the Bangladesh Physics Olympiad. I also participated at Asian Pacific Mathematical Olympiad. My penchant for creative endeavors inspired my research journey, which began in my first year of undergraduate studies.

Professional Profiles:

Orcid

🎯 Career Objective

I aim to be a valuable professional contributing to institutions and society through creative and impactful research. Seeking a research-oriented position to leverage my knowledge and skills, I thrive in challenging environments that foster continuous learning. My passion lies in Material Science related research.

🎓 Education

Bangladesh University of Textiles, Dhaka, BangladeshB.Sc. in Textile Engineering (Specialization in Industrial & Production Engineering) (2018-2023)CGPA: 3.16/4Rajshahi Govt. City College, Rajshahi, BangladeshHigher Secondary Certificate (2017)GPA: 5/5Agrani School and College, Rajshahi, BangladeshSecondary School Certificate (2015)GPA: 5/5

💻 Technical Qualifications

Computer Skills

C, Python, MS Office, OriginLab Software, FullProf Software, Imagej, CAD, CATIA, CASTEP, SolidWorks

Experimental Techniques

X-ray Diffraction (XRD), FTIR, FESEM, Transmission Electron Microscopy, UV-Visible Spectroscopy, Vibrating Sample Magnetometer, Universal Testing Machine, TGA, DTA

Theoretical Techniques

Rietveld Analysis, DFT Investigation, Stress and Displacement Analysis

🔬 Research Interests

Wearable Smart TextilesBiomedicalNanomaterials & NanomechanicsSemiconductor Electro-physicsAdditive ManufacturingThin Film MagnetismFirst-Principle DFT StudyPhotovoltaics

Strengths for the Award:

  • Research Contributions: The researcher should have a strong portfolio of impactful publications, such as high-quality journal articles, conference papers, or patents, that have significantly contributed to their field.
  • Innovation: The researcher’s work should demonstrate a high level of innovation, leading to new discoveries or advancements in technology, methodology, or understanding in their area of expertise.
  • Collaboration and Leadership: The researcher should have a track record of leading or collaborating on interdisciplinary projects, demonstrating their ability to work with a diverse range of experts.
  • Recognition and Awards: Previous recognition through awards, grants, or invitations to speak at conferences can highlight the researcher’s influence and reputation in their field.
  • Impact on Society: The research should have a tangible impact on society, such as applications in industry, policy changes, or contributions to solving real-world problems.

Areas for Improvement:

  • Broader Impact: While the researcher may have made significant contributions to a specific field, they may need to expand the reach of their work to have a broader impact across multiple disciplines.
  • Communication and Outreach: The ability to communicate research findings to a non-specialist audience, including the general public, policymakers, or industry stakeholders, is increasingly important. Improvement in this area could enhance the visibility and impact of their work.
  • Diversity and Inclusion: The researcher could focus more on mentoring underrepresented groups in their field or engaging in initiatives that promote diversity and inclusion in science and research.
  • Sustainability and Ethics: Depending on the research field, the researcher may need to incorporate more sustainable practices or address ethical considerations in their work.

✍️Publications Top Note :

Cellulose Fiber from Jute and Banana Fiber:

Publication: “Physical properties of isolated cellulose fiber from jute and banana fiber through kraft pulping: Potential applications in packaging and regenerated fibers.”

Journal: SPE Polymers (2024).

Focus: Investigation of the physical properties of cellulose fibers derived from jute and banana through kraft pulping. The study explores potential applications in packaging and the development of regenerated fibers.

Electromagnetic Properties of Al3+ Substituted Ni–Co Ferrites:

Publication: “Rietveld refined structural and sintering temperature dependent electromagnetic properties of Al3+ substituted Ni–Co ferrites prepared through sol–gel auto combustion method for high-frequency and microwave devices.”

Journal: Journal of Materials Science: Materials in Electronics (2024).

Focus: This research delves into the electromagnetic properties of Al3+ substituted Ni-Co ferrites, emphasizing their application in high-frequency and microwave devices.

Triboelectric Nanogenerators:

Publication: “Carbon-based Textile structured Triboelectric Nanogenerators for Smart Wearables.”

Status: Preprint (2024).

Focus: Development of carbon-based textile triboelectric nanogenerators aimed at powering smart wearable devices.

Magnetic and Optoelectronic Properties of Ni-Cu Spinel Ferrites:

Publication: “Magnetic, optoelectronic, and rietveld refined structural properties of Al3+ substituted nanocrystalline Ni-Cu spinel ferrites: An experimental and DFT based study.”

Journal: Journal of Magnetism and Magnetic Materials (2023).

Focus: Study of the magnetic, optoelectronic, and structural properties of Ni-Cu spinel ferrites, including experimental and theoretical (DFT) approaches.

Dielectric and Electrical Transport in Ni-Cu Spinel Ferrites:

Publication: “Structural, dielectric, and electrical transport properties of Al3+ substituted nanocrystalline Ni-Cu spinel ferrites prepared through the sol–gel route.”

Journal: Results in Physics (2022).

Focus: Analysis of dielectric and electrical transport properties in Al3+ substituted Ni-Cu spinel ferrites synthesized using the sol-gel method.

Structural and Magnetic Properties of Ni-Zn Ferrites:

Publication: “Structural, magnetic, and electrical properties of Ni0.38−xCu0.15+yZn0.47+x−yFe2O4 synthesized by sol–gel auto-combustion technique.”

Journal: Journal of Materials Science: Materials in Electronics (2021).

Conclusion:

  • Suitability for the Award: Based on the evaluation of strengths and areas for improvement, the researcher appears highly suitable for the “Best Researcher Award.” Their significant contributions to their field, coupled with a track record of innovation and leadership, make them a strong candidate.
  • Final Recommendation: While the researcher is highly qualified, they could further enhance their candidacy by expanding the impact of their work, engaging more with the broader community, and contributing to initiatives that promote diversity and sustainability in research.

Tao Wang | Geopolymer materials | Best Researcher Award

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Mr.  Nanjing Hydraulic Research Institute, China

The research presents a method for developing high-strength, low-carbon geopolymer mortar using fly ash and slag under ambient curing conditions. It addresses the challenge of low strength in fly ash-based geopolymers by analyzing the impact of slag content on mechanical properties. The study also investigates the correlation between microstructural and macroscopic properties using grey relational analysis and assesses the environmental and economic benefits of varying slag content. This work offers practical guidance for advancing sustainable, high-performance geopolymer materials, supported by the National Natural Science Foundation of China.

Professional Profiles:

scopus

🏗️ About Our Research

🔍 Our study introduces an innovative method to develop high-strength geopolymer mortar that boasts low-carbon and environmentally friendly characteristics under ambient curing conditions. The research delves into the mechanical properties, microstructural attributes, and environmental benefits of this mortar. 🌍

🚧 Tackling the Strength Challenge

💡 Fly ash-based geopolymer mortar is celebrated for its eco-friendly benefits, but achieving high strength remains a challenge in modern structural engineering. While most studies focus on high-temperature curing, our research uniquely explores the influence of slag content on the mechanical properties of geopolymer mortar under ambient conditions.

🔬 Deep Dive: Microstructural and Mechanical Properties

📊 We conducted a thorough analysis of the microstructural performance and established a framework using the grey relational analysis method to correlate these findings with the mortar’s macroscopic mechanical properties. Additionally, we evaluated the environmental and economic impacts of varying slag content through statistical analysis.

🌱 Towards a Sustainable Future

🌱 This work provides valuable insights and practical guidance for the advancement of low-carbon, environmentally friendly, and high-performance geopolymer mortar, paving the way for future developments in sustainable construction materials.

🔗 Research Support

🏆 This research was generously supported by the National Natural Science Foundation of China (SN: 52171270, 51879168) and the Key Funded Projects of the National Natural Science Foundation of China-Regional Innovation and Development Joint Fund (U23A20672). We confirm that this work has not been submitted elsewhere for publication, and all authors have approved the enclosed manuscript.

Strengths for the Award

  1. Innovative Approach: The research introduces a novel method for developing high-strength geopolymer mortar under ambient curing conditions, addressing a crucial challenge in the field. The emphasis on low-carbon and environmentally friendly characteristics is timely and aligns with global sustainability goals.
  2. Comprehensive Analysis: The study offers a thorough investigation of both the mechanical properties and microstructural performance of the geopolymer mortar. The use of grey relational analysis to establish correlations between microstructural and mechanical properties adds depth to the research.
  3. Environmental and Economic Assessment: The inclusion of environmental and economic impact assessments demonstrates a holistic approach, considering not just the technical performance but also the broader implications of the material.
  4. Support from National Foundations: The research is backed by prestigious funding sources, such as the National Natural Science Foundation of China, which underscores the importance and credibility of the work.

Areas for Improvement

  1. Expansion of Application Scenarios: While the research focuses on ambient curing conditions, exploring the applicability of the developed mortar in different environmental conditions or comparing it with other curing methods could provide more comprehensive insights.
  2. Long-term Performance Evaluation: The study could benefit from a long-term performance analysis, including durability and sustainability over extended periods, to further validate the practical application of the geopolymer mortar.
  3. Broader Comparative Analysis: Including a broader range of comparisons with other high-strength construction materials could strengthen the argument for the practical adoption of geopolymer mortar in various structural engineering scenarios.

 

✍️Publications Top Note :

Development of High-strength Geopolymer Mortar Based on Fly Ash-slag: Correlational Analysis of Microstructural and Mechanical Properties and Environmental Assessment”

Authors: Wang, T., Fan, X., Gao, C.

Journal: Construction and Building Materials (2024), 441, 137515

 

“Performance of Geopolymer Paste under Different NaOH Solution Concentrations”

Authors: Wang, T., Fan, X., Gao, C., Qu, C.

Journal: Magazine of Concrete Research (2024)

 

“Shear Behavior and Strength Prediction of HFRP Reinforced Concrete Beams without Stirrups”

Authors: Gu, Z., Hu, Y., Gao, D., Wang, T., Yang, L.

Journal: Engineering Structures (2023), 297, 117030

 

“Effect of Different Loading Rates on the Fracture Behavior of FRP-Reinforced Concrete”

Authors: Liu, J., Fan, X., Wang, T., Qu, C.

Journal: Fatigue and Fracture of Engineering Materials and Structures (2023), 46(12), pp. 4743–4759

 

“The Influence of Fiber on the Mechanical Properties of Geopolymer Concrete: A Review”

Authors: Wang, T., Fan, X., Gao, C., Liu, J., Yu, G.

Journal: Polymers (2023), 15(4), 827

 

“Database-based Error Analysis of Calculation Methods for Shear Capacity of FRP-Reinforced Concrete Beams without Web Reinforcement”

Authors: Wang, T., Fan, X., Gao, C., Qu, C., Liu, J.

Journal: Journal of Southeast University (English Edition) (2023), 39(3), pp. 301–313

 

“Size Effect Theory on Shear Strength of RC Cantilever Beams without Stirrups”

Authors: Jin, L., Wang, T., Du, X.-L.

Journal: Jisuan Lixue Xuebao/Chinese Journal of Computational Mechanics (2020), 37(4), pp. 396–404

 

“Size Effect Theory on Shear Failure of RC Cantilever Beams”

Authors: Jin, L., Wang, T., Du, X.-L., Xia, H.

Journal: Gongcheng Lixue/Engineering Mechanics (2020), 37(1), pp. 53–62

 

“Size Effect in Shear Failure of RC Beams with Stirrups: Simulation and Formulation”

Authors: Jin, L., Wang, T., Jiang, X.-A., Du, X.

Journal: Engineering Structures (2019), 199, 109573

 

Conclusion

Tao Wang’s research on high-strength geopolymer mortar is innovative and impactful, addressing key challenges in the construction industry related to sustainability and strength. The study’s comprehensive analysis and consideration of environmental impacts make it a strong contender for the “Best Researcher Award.” However, expanding the research scope to include more comparative and long-term analyses could further enhance its significance.

Durga Ghosh | energy | Best Researcher Award

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Dr. Durga Ghosh | energy | Best Researcher Award

Dr. North Carolina State University, United States

Durga Prasad Ghosh is a postdoctoral scholar specializing in mechanical engineering, currently at North Carolina State University. He holds a Ph.D. from the Indian Institute of Technology, Patna, and an M.Tech. in Thermal Engineering from Kalinga Institute of Industrial Technology. Ghosh has extensive research experience, having worked on projects related to thermal energy storage, water desalination, and evaporator design. He has taught courses at Oregon State University and Gandhi Institute of Excellent Technocrats. His notable achievements include securing research funding, publishing in peer-reviewed journals, and being a semi-finalist in the American-Made Geothermal Lithium Extraction Prize.

 

Professional Profiles:

Scopus

Education🎓

Ph.D., Mechanical Engineering
Indian Institute of Technology, Patna, India
June 2015 – October 2019CGPA: 8.25/10🎓 M.Tech., Thermal Engineering
Kalinga Institute of Industrial Technology, India
June 2012 – June 2014CGPA: 9.15/10 (Highest in the department)🎓 B.Tech., Mechanical Engineering
Gandhi Institute of Engineering Technology, India
August 2007 – July 2011CGPA: 7.42/10

Awards and Achievements 🏆

2021: Selected as one of the semifinalists in “The American-Made Geothermal Lithium Extraction Prize” and gained funding of $40,000. 018: Secured 1st position in “My Research in Three Minutes” competition on 7th Research Scholar’s Day, IIT Patna, 2018. 2014: Received Vice Chancellor Silver Medal for securing the highest mark in Thermal Engineering during M.Tech. 2004: Won a GOLD medal at All Orissa Geography Talent Test, 2004.
2003: Secured an All India rank of 323 in the 3rd National Science Olympiad, 2003.

Leadership and Service🔧

2019 – 2023: Led a team of Postdocs, graduate, and undergraduate students across four universities to successfully complete a multi-million dollar DOE project. 🔧 2019: Volunteered in organizing the 8th Research Scholar’s Day, IIT Patna, 2019. 2017: Volunteered in organizing the 6th Research Scholar’s Day, IIT Patna, 2017. 2013: Volunteered in organizing the 1st KIIT International Symposium on Advances in Automotive Technology (KIIT SAAT), 2013.  2008 – 2009: Served as an Office Bearer of the Mechanical Engineering Student Association (MESA), GIET, Gunupur, India.

Professional Experience

🛠️ Postdoctoral Scholar, Mechanical Engineering
North Carolina State University, Raleigh, NC, USA
April 2023 – PresentLeading the design, fabrication, and experimentation of nature-inspired variable capacity evaporators for low Global Warming Potential (GWP) refrigerants.Enhancing condensation via optimized gradient wick structures.🛠️ Postdoctoral Scholar, Mechanical Engineering
University of Michigan, Ann Arbor, MI, USA
April 2023 – April 2024Led projects on thermal energy storage, supervising 2 graduates and 3 undergraduates.Studied hydration kinetics of salt hydrates in a through-flow reactor for thermochemical energy storage.Analyzed data to establish trade-offs between specific power and specific energy.Utilized CAD software SolidWorks for 3D modeling and performed thermal simulation using COMSOL.🛠️ Instructor of Record, Energy System Engineering
Oregon State University, Bend, OR, USA
January 2023 – March 2023Taught Heat Transfer (ME332) for the winter term.Developed course content and conducted review sessions.Managed course materials and assignments on CANVAS.🛠️ Postdoctoral Scholar, Mechanical Engineering
Oregon State University, Bend, OR, USA
December 2019 – April 2023Led a team working on a novel Zero Liquid Discharge (ZLD) humidification-dehumidification water desalination system.Managed contractual milestones for multimillion-dollar US DOE awards.Conducted independent research and supervised PhD, graduate, and undergraduate students.🛠️ Project Fellow, Mechanical Engineering
Indian Institute of Technology, Patna, India
December 2014 – October 2019Designed and fabricated experimental setups for flow boiling in nanostructured microchannels.Performed Fast Fourier Transform Analysis in MATLAB.🛠️ Assistant Professor, Mechanical Engineering
Gandhi Institute of Excellent Technocrats, Bhubaneswar, India
July 2014 – November 2014Taught undergraduate courses on Basic Thermodynamics and Heat Transfer.Developed course content and conducted review sessions.

✍️Publications Top Note :

Abstract: Anti-fouling Rotating Polymer-Based Heat Exchanger for Zero Liquid Discharge Humidification-Dehumidification Desalination

Authors: Ghosh, D.P., Hassan, M., Dennis, S.J., Elhashimi-Khalifa, M.A., Abbasi, B. Journal: Water Research, 2024, 258, 121749

Fouling Mechanism in Airblast Atomizers and Its Suppression for Water Desalination

Authors: Sharma, D., Ghosh, D.P., Dennis, S.J., Abbasi, B.

Journal: Water Research, 2022, 221, 118726

Development of an Anti-Clogging Perforated Plate Atomizer for a Zero Liquid Discharge Humidification-Dehumidification Desalination System

Authors: Sharma, D., Ghosh, D.P., Rote, J.N., Zhang, X., Abbasi, B.

Journal: Desalination, 2021, 515, 115195

Mitigation of Transient Fluctuations During Flow Boiling in Microchannels via Adaptive Vapor Venting

Authors: Ghosh, D.P., Sharma, D., Abbasi, B.

Journal: IEEE Transactions on Components, Packaging and Manufacturing Technology, 2021, 11(10), pp. 1645–1654

An Ingenious Fluidic Capacitor for Complete Suppression of Thermal Fluctuations in Two-Phase Microchannel Heat Sinks

Authors: Ghosh, D.P., Sharma, D., Kumar, A., Saha, S.K., Raj, R.

Journal: International Communications in Heat and Mass Transfer, 2020, 110, 104347

Facile Fabrication of Nanostructured Microchannels for Flow Boiling Heat Transfer Enhancement

Authors: Ghosh, D.P., Sharma, D., Mohanty, D., Saha, S.K., Raj, R.

Journal: Heat Transfer Engineering, 2019, 40(7), pp. 537–548

Thermohydraulic Characterization of Flow Boiling in a Nanostructured Microchannel Heat Sink with Vapor Venting Manifold

Authors: Sharma, D., Ghosh, D.P., Saha, S.K., Raj, R.

Journal: International Journal of Heat and Mass Transfer, 2019, 130, pp. 1249–1259

Mohammadjavad Shabanpoursheshpoli | intelligent metamaterial | Best Researcher Award

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Mr. Mohammadjavad Shabanpoursheshpoli | intelligent metamaterial | Best Researcher Award

Mr. Aalto University, Finland

Mohammadjavad Shabanpoursheshpoli is a dedicated Marie Curie Early-stage researcher and PhD candidate specializing in applied electromagnetics and telecommunications, with a focus on Reconfigurable Intelligent Surfaces (RIS) for 5G and 6G wireless networks. He has published over 10 journal papers and received several prestigious awards, including the 2023 Nokia Foundation scholarship for outstanding research in RIS-based 6G networks. He was an invited speaker at Metamaterials 2023 and named the best-performing research fellow of the Meta wireless project in 2022. He holds a PhD from Aalto University and has earned full scholarships and top academic rankings throughout his education.

 

Professional Profiles:

Google scholar

🎓 Education

Ph.D.Aalto University, Espoo, Finland5/5 (passed all 40 credits)M.Sc.Iran University of Science & Technology, Tehran, Iran16.65/20B.Sc.Babol Noshirvani University of Technology, Babol, Iran

📜 Honours & Awards

🎓 Motivated and Accomplished Researcher

Marie Curie Early-Stage Researcher (PhD candidate) specializing in applied electromagnetics and telecommunication, focusing on Reconfigurable Intelligent Surfaces for 5G and 6G wireless networks.

Committed to advancing telecommunication technology through a combination of rigorous theory and practical expertise, resulting in 10+ published journal papers recognized within the academic community.

🏅 2023 Nokia Foundation Scholarship

Recognized for outstanding research contributions in the field of RIS-based 6G wireless networks.

🎤 Invited Speaker

Accepted as an invited speaker for the 17th International Congress on Artificial Materials for Novel Wave Phenomena (Metamaterials 2023) in Greece.

🌟 Best-Performing Research Fellow

Selected as the “2022 best-performing research fellow of the Meta Wireless Project” in Gaeta, Italy (14 Nov. 2022).

🎓 Full Scholarships

Received a full scholarship from H2020 Marie Skłodowska-Curie Innovative Training Networks (ITNs) under grant agreement NO 956256.

Awarded a full scholarship from Noshirvani Institute of Technology & Iran University of Science and Technology (tuition waiver).

📚 Top-Cited Paper

Awarded a top-cited paper 2020-2021 in Annalen der Physik by Wiley.

📈 Academic Achievements

Ranked 3rd GPA among the graduating class in the master’s program at Iran University of Science and Technology.Ranked within the top 0.05% in the Iranian university entrance exam for a master’s degree in electrical engineering (2016).Ranked within the top 0.1% in the Iranian university entrance exam for a bachelor’s degree (2012).

✍️Publications Top Note :

“Ultrafast reprogrammable multifunctional vanadium-dioxide-assisted metasurface for dynamic THz wavefront engineering”

(Scientific Reports, 2020) – Cited 103 times.

“Deep neural network-based automatic metasurface design with a wide frequency range”

(Scientific Reports, 2021) – Cited 72 times.

“Asymmetric spatial power dividers using phase–amplitude metasurfaces driven by Huygens principle”

(ACS Omega, 2019) – Cited 66 times.

“Programmable anisotropic digital metasurface for independent manipulation of dual-polarized THz waves based on a voltage-controlled phase transition of VO₂ microwires”

(Journal of Materials Chemistry C, 2020) – Cited 63 times.

“Reconfigurable honeycomb metamaterial absorber having incident angular stability”

(Scientific Reports, 2020) – Cited 44 times.

“A deep learning approach for inverse design of the metasurface for dual-polarized waves”

(Applied Physics A, 2021) – Cited 36 times.

“Real-time multi-functional near-infrared wave manipulation with a 3-bit liquid crystal-based coding metasurface”

(Optics Express, 2021) – Cited 30 times.

“Full Manipulation of the Power Intensity Pattern in a Large Space-Time Digital Metasurface: From Arbitrary Multibeam Generation to Harmonic Beam Steering Scheme”

(Annalen der Physik, 2020) – Cited 23 times.

“Implementation of conformal digital metasurfaces for THz polarimetric sensing”

(OSA Continuum, 2021) – Cited 22 times.

“Highly sensitive quarter-mode spoof localized plasmonic resonator for dual-detection RF microfluidic chemical sensor”

(Journal of Physics D: Applied Physics, 2020) – Cited 18 times.

Mr. Jeremy Jeba amuel J | Composite materials | Best Researcher Award

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Mr. Jeremy Jeba amuel J | Composite materials
| Best Researcher Award

Mr. Jeremy Jeba amuel J , Francis Xavier Engineering College, India

Mr. Jeremy Jeba amuel J 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

🌟 Objective:

To seek a challenging and responsible position in an emerging organization with a competitive environment, leading the organization to excellence through high efficiency and innovative skills. Aim to provide the best quality and innovation in my work.

🎓 Educational 

DegreeYear of PassingPercentageInstitution Name
Ph.D (Pursuing)–Easwari Engineering College
M.E (Engineering Design)201571.1%Easwari Engineering College
B.E (Mechanical Engineering)201366.66%Dr. Sivanthi Adithanar College of Engineering
T.N.H.S.C200969%Margoschis Hr. Sec. School
SSLC200779%Margoschis Hr. Sec. S

Work Experience:

Institution NameFromToTotal Experience
Francis Xavier Engineering College, Tirunelveli24/06/2015Till Date6 years 8 months

Skill-set:

Languages: C, C++
Operating Systems: Windows 10
Packages: MS-Office, Origin
Tools: AutoCAD, Pro-E (Creo), CATIA, Ansys, Fluid sim, CNC Programmin

Industrial Exposure:

Undergone In-plant training at DCW Ltd and Sterlite Copper for two weeks.
Undergone In-plant training at TVS Motor Company for three days.
Visited various industries like Hyundai – Chennai, Doosan Power Systems, Aqua-Sub, Madras Radiators Pvt Ltd, and interacted with HRs regarding placement.

Technical Training:

Participated in numerous Faculty Training Programmes organized by various reputed institutions.
Attended seminars, webinars, and workshops from different institutions.

Achievements:

Secured First place in state-level project presentation competition conducted by Velammal College of Engineering & Technology, Madurai.
Secured Second place in national-level CAD Modelling conducted by Holycross Engineering College, Vagaikulam.
Secured Second place in national-level paper presentation competition conducted by SRM University – Ramapuram, Chennai.
Secured awards from the institution for achieving 100% results.
Coordinated a 1-week FDP sponsored by Anna University from 3rd Jan to 8th Jan 2022 under the title ME 8493 – Thermal Engineering 1.

📖 Publications Top Note :

Studies on Mechanical Properties and Characterization of Carbon Fiber Reinforced Hybrid Composite for Aerospace Application

Authors: J.J.J. Samuel, R. Ramadoss, K.N. Gunasekaran, K. Logesh, S.J.P. Gnanaraj, …

Journal: Materials Today: Proceedings

Volume: 47, pp. 4438-4443

Year: 2021

Citations: 27

An Experimental Study of the Properties of Carbon Fiber/Epoxy Composites Mixed with Rubber Granules

Authors: J.J.S. Joseph Jebaraj, R. Rajendran

Journal: International Journal of Polymer Science

Volume: 2024 (1), Article ID 5555592

Year: 2024

Green Methods of Larvae Control in Aquatic Environments: Using Solar Energy to Agitate Water

Authors: D.E. Paulsyah, S.J.P. Gnanaraj, R.S. Myrtle, C.J.C. Grace, J.J.J. Samuel

Conference: 2023 International Conference on Sustainable Communication Networks and …

Year: 2023

Vacuum Bag Technology for Obtaining Carbon/Epoxy Composites

Authors: M.J.J.S.J. Ajith Arumugam A, Karthikeyan S, Godlin S.R., Giftson Gnanaraj J

Journal: International Journal of Innovative Research in Science, Engineering and …

Year: 2021

Experimental Investigation on Fabrication Methods of Glass Fibre with Rubber Powder for Radome Applications

Authors: J.J.S.J. Esakki Raja, Anand K, Elson Pushpa M, Ganeshamanikandan C

Journal: Journal of Xidian University

Volume: 14 (Issue 5, 2020), pp. 894-900

Year: 2020

Fracture Analysis of Compact Tension Specimen

Authors: M.J.J.S. Mr. S. Sheik Sulaiman, Mr. K. Krishna Moorthy

Journal: International Journal of Research in Advanced Technology – IJORAT

Volume: 1 (9), pp. 49-55

Year: 2016

Performance Study on Hybrid Glass Fiber Epoxy Composite

Authors: M.J. Lakshmipathy, J. Jereme Jeba Samuel

Journal: International Journal of Research in Advanced Technology – IJORAT

Volume: 1 (1), pp. 18-22

Year: 2016

Study of Mechanical Properties and Characterization of Hybrid Polymer Matrix Composites Based on Water Absorption

Authors: S.S.P.J. Jeremy Jeba Samuel, Lakshmipathy

Journal: International Journal of Research in Advanced Technology – IJORAT

Volume: 1 (1), pp. 36-40

Year: 2016

Mechanical Properties and Characterization Studies in Natural Fiber/Lignite Fly Ash Reinforced Hybrid Composites

Authors: S.K. G.K., K.G. Ashok

Journal: Journal of Manufacturing Engineering

Volume: 10 (3), pp. 157-160

Year: 2015

An End for Cancer by Nanotechnology

Authors: (Details not provided)

Prof Dr. Taeksoo Jang | Apllied | Best Researcher Award

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Prof Dr. Taeksoo Jang | Apllied | Best Researcher Award

Prof Dr. Taeksoo Jang, Pusan National University, South Korea

Prof Dr. Taeksoo Jang 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

1987–1991
B.S., Pusan National University, Busan, Republic of Korea
Department of Naval Architecture and Ocean Engineering1991–1993
M.S., Seoul National University, Seoul, Republic of Korea
Department of Naval Architecture and Ocean Engineering1993–1999
Ph.D., Seoul National University, Seoul, Republic of Korea
Department of Naval Architecture and Ocean EngineeringPh.D. Thesis: Application of the inverse theory to ill-posed two-dimensional ship hydrodynamic problemsSupervisor: Hang S, Choi, Ph.D., Prof.

🛠️ Professional Experiences

01/2000–12/2001
JSPS Researcher, Institute of Industrial Science, University of Tokyo, Tokyo, Japan
(JSPS: Japan Society for the Promotion of Science hosted by the Ministry of Education, Culture, Sports, Science and Technology, Japan)01/2002–09/2003
Senior Researcher, Korea Research Institute of Ships & Ocean Engineering, Daejeon, Republic of Korea03/2006–02/2013
Vice-Director, MIT Group for High-Added Value Ships and Offshore Structures for Deep Sea Resources Exploration (BK21), Pusan National University12/2011–03/2016
Director, Arctic Engineering Research Center, The Korea Ship and Offshore Research Institute, Pusan National University10/2003–present
Professor, Department of Naval Architecture and Ocean Engineering, Pusan National University
Dept. of Naval Architecture and Ocean Engineering, Building 407, Room 218, 2, Busandaehak-ro 63beon-gil, Geumjeong-gu, Busan, Republic of Korea 46241
📞 +82 51 510 2789 • 📠 +82 51 581 3718 08/2013–08/2014
Visiting Professor, Wessex Institute of Technology, Southampton, UK06/2017–02/2022
Division Manager, Engineering Research Center (ERC); Industrial “Mathematics” Center (NRF-2017R1A5A1015722), Pusan National University09/2019–08/2020
Visiting Professor, Deep Ocean Engineering Research Center, Korea Research Institute of Ships & Ocean Engineering (KRISO)

📜 Academic Societies

2002–present
Member, The Korean Society of Ocean Engineers2002–present
Member, The Society of Naval Architects of Korea2012–2012
Associate Member, The Royal Institution Of Naval Architects2012–2015
Member, International Ship and Offshore Structures Congress (ISSC), Environment Committee2012–2015
Committee Chairman, The Korea Ship and Offshore Structures Congress (KSSC), Environment Committee, The Society of Naval Architecture of Korea2015–2015
Scientific Board, International Conference on Ships and Offshore Structures

💼 Technical Advisory Panels and Committees

2008–present
Advisory Committee, The Lloyd’s Register Educational Trust Research Centre of Excellence, Pusan National University2011–present
Advisory Committee, Korea Research Institute of Ships & Ocean Engineering2012–2012
Local Committee, Asian Wave and Tidal Energy Conference

🏛️ Technical Societies

2007–2015
Editorial Board Member, The Open Ocean Engineering Journal2007–2015
Editorial Board Member, The Open Hydrology Journal2012–2013
Editorial Board Member, Radical Journal of Mathematical Physics2013–2014
Editorial Board Member, American Journal of Applied Mathematics2006–present
Editorial Board Member, Ships and Offshore Structures (SCIE Journal)2013–present
Editorial Board Member, Advanced Shipping and Ocean Engineering2017–present
Editorial Board Member, International Journal of Oceanography & Aquaculture2020–present
Editorial Board (Academic Editor), Mathematical Problems in Engineering (SCIE Journal)

🏆 Prizes and Honors

1991
Graduation with honors, The Society of Naval Architects of Korea1995
USO Six Star Honorees, United Service Organizations

💡 Interests

I’m interested in developing a mathematical method for discovering a problem arising in fluid mechanics, water waves, floating body mechanics, and their combined inverse problems (regularization techniques to remedy the ill-posedness): system identification of offshore structures.Nonlinear (ocean) system identification (inverse problems)Techniques to remedy the ill-posednessDeveloping nonlinear numerical schemes for ODE & PDEWater waves and wave mechanics

🌐 Languages

English: ExcellentJapanese: ExcellentKorean: Native language

📖 Publications Top Note :

Indirect measurement of the impulsive load to a nonlinear system from dynamic responses: inverse problem formulation

Authors: TS Jang, H Baek, SL Han, T Kinoshita

Journal: Mechanical Systems and Signal Processing

Volume: 24 (6), Pages: 1665-1681, Year: 2010

Citations: 64

A new semi-analytical approach to large deflections of Bernoulli–Euler-v. Karman beams on a linear elastic foundation: Nonlinear analysis of infinite beams

Author: TS Jang

Journal: International Journal of Mechanical Sciences

Volume: 66, Pages: 22-32, Year: 2013

Citations: 62

A new method for the non-linear deflection analysis of an infinite beam resting on a non-linear elastic foundation

Authors: TS Jang, HS Baek, JK Paik

Journal: International Journal of Non-Linear Mechanics

Volume: 46 (1), Pages: 339-346, Year: 2011

Citations: 58

A new method for detecting non-linear damping and restoring forces in non-linear oscillation systems from transient data

Authors: TS Jang, HS Choi, SL Han

Journal: International Journal of Non-Linear Mechanics

Volume: 44 (7), Pages: 801-808, Year: 2009

Citations: 44

Evaluation of the added mass for a spheroid-type unmanned underwater vehicle by vertical planar motion mechanism test

Authors: SK Lee, TH Joung, SJ Cheo, TS Jang, JH Lee

Journal: International Journal of Naval Architecture and Ocean Engineering

Volume: 3 (3), Pages: 174-180, Year: 2011

Citations: 43

Non-parametric simultaneous identification of both the nonlinear damping and restoring characteristics of nonlinear systems whose dampings depend on velocity alone

Author: TS Jang

Journal: Mechanical Systems and Signal Processing

Volume: 25 (4), Pages: 1159-1173, Year: 2011

Citations: 36

Recovering the functional form of the nonlinear roll damping of ships from a free-roll decay experiment: An inverse formulism

Authors: TS Jang, SH Kwon, JH Lee

Journal: Ocean Engineering

Volume: 37 (14-15), Pages: 1337-1344, Year: 2010

Citations: 36

A new dispersion-relation preserving method for integrating the classical Boussinesq equation

Author: TS Jang

Journal: Communications in Nonlinear Science and Numerical Simulation

Volume: 43, Pages: 118-138, Year: 2017

Citations: 35

A general method for analyzing moderately large deflections of a non-uniform beam: an infinite Bernoulli–Euler–von Kármán beam on a nonlinear elastic foundation

Author: TS Jang

Journal: Acta Mechanica

Volume: 225, Pages: 1967-1984, Year: 2014

Citations: 35

An efficient numerical scheme for analyzing bioconvection in von-Kármán flow of third-grade nanofluid with motile microorganisms

Authors: MZ Ullah, TS Jang

Journal: Alexandria Engineering Journal

Volume: 59 (4), Pages: 2739-2752, Year: 2020

Citations: 31

A new solution procedure for the nonlinear telegraph equation

Author: TS Jang

Journal: Communications in Nonlinear Science and Numerical Simulation

Volume: 29 (1-3), Pages: 307-326, Year: 2015

Citations: 31

A method for simultaneous identification of the full nonlinear damping and the phase shift and amplitude of the external harmonic excitation in a forced nonlinear oscillator

Author: TS Jang

Journal: Computers & Structures

Volume: 120, Pages: 77-85, Year: 2013

Citations: 30

A new method for measuring nonharmonic periodic excitation forces in nonlinear damped systems

Authors: TS Jang, H Baek, HS Choi, SG Lee

Journal: Mechanical Systems and Signal Processing

Volume: 25 (6), Pages: 2219-2228, Year: 2011

Citations: 28

Inverse determination of the loading source of the infinite beam on elastic foundation

Authors: TS Jang, HG Sung, SL Han, SH Kwon

Journal: Journal of Mechanical Science and Technology

Volume: 22, Pages: 2350-2356, Year: 2008

Citations: 28

Numerical experiments on an ill-posed inverse problem for a given velocity around a hydrofoil by iterative and noniterative regularizations

Authors: TS Jang, HS Choi, T Kinoshita

Journal: Journal of Marine Science and Technology

Volume: 5, Pages: 107-111, Year: 2000

Citations: 27

Solution of an unstable inverse problem: wave source evaluation from observation of velocity distribution

Authors: TS Jang, HS Choi, T Kinoshita

Journal: Journal of Marine Science and Technology

Volume: 5, Pages: 181-188, Year: 2000

Citations: 25

An ill-posed inverse problem of a wing with locally given velocity data and its analysis

Authors: TS Jang, T Kinoshita

Journal: Journal of Marine Science and Technology

Volume: 5, Pages: 16-20, Year: 2000

Citations: 24

A new semi-analytical method for the non-linear static analysis of an infinite beam on a non-linear elastic foundation: a general approach to a variable beam cross-section

Authors: TS Jang, HG Sung

Journal: International Journal of Non-Linear Mechanics

Volume: 47 (4), Pages: 132-139, Year: 2012

Citations: 22

Solution of an unstable axisymmetric Cauchy–Poisson problem of dispersive water waves for a spectrum with compact support

Authors: TS Jang, SH Kwon, BJ Kim

Journal: Ocean Engineering

Volume: 34 (5-6), Pages: 676-684, Year: 2007

Citations: 20

An integral equation formalism for solving the nonlinear Klein–Gordon equation

Author: TS Jang

Journal: Applied Mathematics and Computation

Volume: 243, Pages: 322-338, Year: 2014

Citations: 19

Prof Dr. Ang Cao | theoretical catalysis | Best Researcher Award

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Prof Dr. Ang Cao | theoretical catalysis | Best Researcher Award

Prof Dr. Ang Cao, zhejiang university, china

Prof Dr. Ang Cao 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 Background 🎓

Ph.D. in Chemical Engineering
09/2016 – 03/2018
Stanford University
Supervisor: Prof. Jens K. Nørskov

Industrial Catalysis
09/2012 – 07/2018
Tianjin University

Work Experiences 🧪

Researcher/Professor
03/2024 – Present
Zhejiang UniversityTenure-Track Researcher
07/2023 – 02/2024
Technical University of DenmarkPostdoctoral Researcher
03/2019 – 06/2023
Technical University of Denmark
Supervisor: Prof. Jens K. NørskovAssistant Researcher
07/2018 – 02/2019
Westlake University
Supervisor: Prof. Jianping Xiao

Highlights

Research interests in the theoretical description of surface, catalysts, and nanostructure.🔍 Focus on reaction mechanism understanding and catalyst design of CO/CO2/N2 reduction. Rich experience in preparing catalysts derived from layered double hydroxides (LDHs) and perovskite.💻 Proficient in DFT calculation, Machine Learning, and Spin Catalysis.

Skills 💻

Material Analysis Techniques: XRD, SEM, TEM, XPS, TPR, TPD, Raman, BET, FT-IR, TGA, Gas chromatography, etc.Software: Quantum Espresso, Gaussian, VASP, MS Office, Origin, AutoCAD, Photoshop, etc.Programming Language: Python

📖 Publications Top Note :

Synergy Effects on Sn-Cu Alloy Catalyst for Efficient CO2 Electroreduction to Formate with High Mass Activity

K Ye†, A Cao†, J Shao†, G Wang, R Si, N Ta, J Xiao, G Wang
Science Bulletin 65 (9), 711-719 163 2020

Monitoring Oxygen Production on Mass-Selected Iridium–Tantalum Oxide Electrocatalysts

YR Zheng, J Vernieres, Z Wang, K Zhang, D Hochfilzer, K Krempl, …
Nature Energy 7 (1), 55-64 128 2022

Elucidation of the Synergistic Effect of Dopants and Vacancies on Promoted Selectivity for CO2 Electroreduction to Formate

Z Li†, A Cao†, Q Zheng, Y Fu, T Wang, KT Arul, JL Chen, B Yang, NM Adli, …
Advanced Materials 33 (2), 2005113 116 2021

Relations between Surface Oxygen Vacancies and Activity of Methanol Formation from CO2 Hydrogenation Over In2O3 Surfaces

A Cao, Z Wang, H Li, JK Nørskov
ACS Catalysis 11 (3), 1780-1786 105 2021

Understanding Oxygen Vacancies in Disorder-Engineered Surface and Subsurface of CaTiO3 Nanosheets on Photocatalytic Hydrogen Evolution

J Cai, A Cao, J Huang, W Jin, J Zhang, Z Jiang, X Li
Applied Catalysis B: Environmental 267, 118378 105 2020

Selectivity of Synthesis Gas Conversion to C2+ Oxygenates on fcc(111) Transition-Metal Surfaces

J Schumann, AJ Medford, JS Yoo, ZJ Zhao, P Bothra, A Cao, F Studt, …
ACS Catalysis 8 (4), 3447-3453 86 2018

Copper/Alkaline Earth Metal Oxide Interfaces for Electrochemical CO2-to-Alcohol Conversion by Selective Hydrogenation

A Xu, SF Hung, A Cao†, Z Wang, N Karmodak, JE Huang, Y Yan, …
Nature Catalysis, 1-8 76 2022

Electrocatalytic Nitrate-to-Ammonia Conversion with ~100% Faradaic Efficiency via Single-Atom Alloying

J Cai†, Y Wei†, A Cao†, J Huang, Z Jiang, S Lu, SQ Zang
Applied Catalysis B: Environmental 316, 121683 76 2022

Mechanistic Insights into the Synthesis of Higher Alcohols from Syngas on CuCo Alloys

A Cao, J Schumann, T Wang, L Zhang, J Xiao, P Bothra, Y Liu, …
ACS Catalysis 8 (11), 10148-10155 74 2018

The Deactivation of Cu–Co Alloy Nanoparticles Supported on ZrO2 for Higher Alcohols Synthesis from Syngas

GL Liu, T Niu, A Cao, YX Geng, Y Zhang, Y Liu
Fuel 176, 1-10 66 2016

Nanoparticles of Cu–Co Alloy Derived from Layered Double Hydroxides and Their Catalytic Performance for Higher Alcohol Synthesis from Syngas

A Cao, G Liu, Y Yue, L Zhang, Y Liu
RSC Advances 5 (72), 58804-58812 64 2015

Growing Layered Double Hydroxides on CNTs and Their Catalytic Performance for Higher Alcohol Synthesis from Syngas

A Cao, G Liu, L Wang, J Liu, Y Yue, L Zhang, Y Liu
Journal of Materials Science 51, 5216-5231 62 2016

A Spin Promotion Effect in Catalytic Ammonia Synthesis

A Cao, VJ Bukas, V Shadravan, Z Wang, H Li, J Kibsgaard, I Chorkendorff, …
Nature Communications 13 (1), 2382 60 2022

Metal-Organic Frameworks Derived Anatase/Rutile Heterostructures with Enhanced Reaction Kinetics for Lithium and Sodium Storage

G Liu, L Xu, Y Li, D Guo, N Wu, C Yuan, A Qin, A Cao, X Liu
Chemical Engineering Journal 430, 132689 55 2022

Origins of the Instability of Nonprecious Hydrogen Evolution Reaction Catalysts at Open-Circuit Potential

Z Wang, YR Zheng, J Montoya, D Hochfilzer, A Cao, J Kibsgaard, …
ACS Energy Letters 6 (6), 2268-2274 55