Chang Hyun Sohn | Computational Fluid Dynamic | Best Researcher Award

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Prof Chang Hyun Sohn | Computational Fluid Dynamic | Best Researcher Award

Professor, Kyungpook National University, South Korea

Dr. Chang-Hyun Sohn is a distinguished Professor of Mechanical Engineering at Kyungpook National University (KNU), South Korea. 🎓 With expertise in Computational Fluid Dynamics (CFD), Flow-Induced Vibration, and Particle Image Velocimetry (PIV), he has made significant contributions to thermal-fluid sciences. 🌊 He has served as a Visiting Professor at the University of Cambridge and the University of Tennessee and previously worked at the Agency for Defense Development (ADD), contributing to small jet engine development. ✈️ His extensive research output includes 134 journal papers, 64 conference proceedings, 37 books & reports, and 5 patents. 📚 Recognized with prestigious awards, he has held leadership roles in KSME, KASE, and KSCFE. 🔬 His influence spans academia, industry, and engineering societies, making him a pioneer in fluid dynamics research. 🌍

Profile

scholar

Education 🎓

Ph.D. in Mechanical Engineering, KAIST, South Korea (1991) 🏆 Focused on thermal-fluid flow and CFD modeling, advancing numerical simulations in fluid dynamics. 💡M.E. in Mechanical Engineering, KAIST, South Korea (1985) 📊 Specialized in computational modeling and flow analysis, contributing to advanced engineering applications. 🚀B.E. in Mechanical Engineering, Kyungpook National University, South Korea (1983) 🔧 Developed a strong foundation in mechanical systems, thermodynamics, and aerodynamics, shaping future research in flow dynamics. 🌪️

Professional Experience 🏢

Professor, Kyungpook National University (1994 – Present) 👨‍🏫 Leading fluid dynamics research and mentoring future engineers. 🎯Team Manager, Agency for Defense Development (ADD) (1991 – 1994) 🛩️ Spearheaded small jet engine development and military propulsion technology. 💨Visiting Professor, University of Cambridge (1996 – 1997) 🇬🇧 Collaborated on aerodynamic research in turbulence and flow modeling. 📈Visiting Professor, University of Tennessee (2005 – 2006) 🇺🇸 Advanced CFD applications in thermal-fluid sciences. 🔥Vice Dean, College of Engineering, KNU (2007 – 2008) 📌 Strengthened academic programs in mechanical and automotive engineering. 🏗️Director, Industrial-University Consortium Center (2007 – 2008) 🔄 Enhanced industry-academic collaboration for applied mechanical research. 🏭

Awards & Honors 🏆

Outstanding Paper Award, Korean Society for Computational Fluid Engineering (2010) 📜 Recognized for excellence in CFD-based thermal-fluid research. 🔥Best Paper Award, Korean Society of Mechanical Engineers (2010) ✨ Acknowledged for groundbreaking contributions to mechanical engineering innovations. 🚗Advisor of Winning Team, National Fluid Engineering Competition (2010) 🏅 Mentored students in a national-level fluid mechanics challenge. 🎯Outstanding Portfolio Instructor, KNU (2010) 👏 Honored for exceptional teaching in mechanical and aerospace engineering. 📖Invited Speaker, IBCAST (2016) & FMFP (2017) 🎤 Shared insights on fluid mechanics, CFD, and turbulence modeling in global conferences. 🌎

Research Focus 🔬

Computational Fluid Dynamics (CFD) 🖥️ Developing high-precision simulations for thermal-fluid flows, aerodynamics, and turbulence modeling. 🌪️Particle Image Velocimetry (PIV) Measurement 📸 Enhancing fluid flow visualization techniques for experimental validation of CFD models. 💡Flow-Induced Vibration (FIV) 🔊 Investigating structural interactions with fluid flow for safer, more efficient engineering systems. 🏗️Aerospace & Automotive Applications 🚀 Designing advanced propulsion systems, aerodynamic vehicles, and jet engines. ✈️Thermal-Fluid System Optimization ⚡ Improving cooling systems, energy efficiency, and industrial heat transfer mechanisms. 🔥

Publications

Investigating the Power Extraction of Applying Hybrid Pitching Motion on a Wing with Leading and Trailing Flaps

Enhanced Power Extraction via Hybrid Pitching Motion in an Oscillating Wing Energy Harvester with Leading Flap

Wetting performance analysis of porosity distribution in NMC111 layered electrodes in lithium-ion batteries using the Lattice Boltzmann Method

Reduction of delivery pressure fluctuations in a gerotor pump

Numerically Investigating the Energy-Harvesting Performance of an Oscillating Flat Plate with Leading and Trailing Flaps

Conclusion

Dr. Chang-Hyun Sohn is an outstanding candidate for the Best Researcher Award, given his exceptional contributions to CFD, leadership in mechanical engineering, and innovation in applied research. His strong publication record, international impact, and industry collaborations make him highly suitable for this prestigious recognition. Further engagement in cutting-edge fields like AI-enhanced CFD and sustainability applications could further strengthen his position as a global leader in the field.

Mohammadmahdi Amini | Structural health monitoring | Best Researcher Award

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Mr. Mohammadmahdi Amini | Structural health monitoring | Best Researcher Award

Innovation & Technology Manager at Laskaridis Shipping Co. LTD, Greece

🎓 Mohammadmahdi Amini, a skilled BIM Modeler born in 1995, has over 3 years of professional expertise in Revit-based Building Information Modeling (BIM). 🌍 Based in Damghan, Semnan, Iran, he has authored three Q1 Elsevier journal papers exploring the effects of magnetic fields on concrete properties. 🏗️ Proficient in Autodesk Revit, AutoCAD, and advanced design software, Mohammadmahdi excels in architectural design, construction documentation, and quantity surveying. ✍️ Fluent in English with an IELTS score of 6, he thrives in collaborative environments, showcasing a passion for innovative civil engineering solutions.

Publication Profile

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Education🎓

Mohammadmahdi holds a Bachelor’s degree in Civil Engineering from Semnan University, Iran (2014–2019). 🏫 Specializing in structural analysis and concrete technologies, he developed a foundational understanding of construction methodologies and project management. 📚 With a GPA of 13.73, his academic journey laid the groundwork for his advanced research in magnetic fields’ effects on concrete, culminating in contributions to high-impact journals. ✨ Semnan University was instrumental in shaping his technical and analytical abilities, inspiring his pursuit of excellence in BIM modeling and civil engineering research.

Experience 💼

As a BIM Modeler at Agourconstruction (Dec 2020–Feb 2024), Mohammadmahdi specialized in Revit-based architectural drafting, quantity surveying, and cost estimation. 📊 His role extended to supervision assistance and resident engineering, ensuring project execution met quality standards. 🏗️ With a keen eye for detail, he collaborated with multidisciplinary teams to deliver efficient construction documentation. ✨ Leveraging his Revit and AutoCAD expertise, he optimized workflows and developed innovative solutions for construction challenges. 🌟 His commitment to excellence has consistently driven successful project outcomes.

Awards and Honors 🏅

Elsevier Recognition: Published three Q1 journal papers in 2024, advancing research in magnetic fields’ effects on concrete. Academic Achievement: Recognized for contributing innovative methodologies to concrete technologies at Semnan University Innovation Awards: Praised for applying novel magnetic approaches in structural engineering solutions. Professional Excellence: Earned commendations for delivering high-quality BIM projects and advancing Revit-based construction workflows.

Research Focus 🔬

Mohammadmahdi’s research centers on leveraging magnetic fields to enhance concrete’s mechanical properties. 🧲 His studies delve into the compressive strength of concrete enriched with silica sand, ferrosilicon, and nano-silica. 📖 His publications include experimental and numerical investigations of magnetic field effects, aiming to improve concrete’s durability and magnetization. 💡 A pioneering approach integrates nanotechnology and magnetic innovations for advanced construction materials. ✨ His work bridges theory and application, inspiring sustainable and efficient civil engineering solutions.

Publications 📖

1. Numerical Investigation on the Impact of Alternating Magnetic Fields on the Mechanical Properties of Concrete with Various Silica Sand and Ferrosilicon Compositions

Authors: Ghanepour, M.; Amini, M.M.; Rezaifar, O.
Journal: Results in Engineering
Volume: 24
Article ID: 103631
Year: 2024
Citations: 0
This study investigates the mechanical behavior of concrete exposed to alternating magnetic fields, focusing on compositions incorporating silica sand and ferrosilicon. Advanced numerical simulations provide insights into how magnetic fields influence concrete’s structural performance and durability. This work serves as a significant step in optimizing construction materials for modern infrastructure.

2. Experimental Analysis of the Impact of Alternating Magnetic Fields on the Compressive Strength of Concrete with Various Silica Sand and Microsilica Compositions

Authors: Amini, M.M.; Ghanepour, M.; Rezaifar, O.
Journal: Case Studies in Construction Materials
Volume: 21
Article ID: e03487
Year: 2024
Citations: 3
This experimental study explores the compressive strength enhancement of concrete treated with alternating magnetic fields. It emphasizes how the integration of silica sand and microsilica alters the concrete’s properties under magnetic exposure. The findings highlight innovative strategies to improve concrete performance in high-demand applications.

3. A Novel Magnetic Approach to Improve Compressive Strength and Magnetization of Concrete Containing Nano Silica and Steel Fibers

Authors: Rezaifar, O.; Ghanepour, M.; Amini, M.M.
Journal: Journal of Building Engineering
Volume: 91
Article ID: 109342
Year: 2024
Citations: 7
This paper presents a groundbreaking approach to enhancing concrete’s compressive strength and magnetization through the inclusion of nano silica and steel fibers. The application of magnetic fields during the curing process demonstrates significant improvements in both mechanical and magnetic properties. This research has profound implications for the construction of magnetically sensitive and structurally robust materials.

Conclusion

Mohammadmahdi Amini demonstrates significant potential for the Research for Best Researcher Award due to his impactful publications, technical expertise, and innovative research on concrete properties. However, improving language proficiency, further diversifying research topics, and showcasing exceptional academic achievements could make his profile even more compelling for international recognition. Overall, he is a strong candidate for the award.

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.

Hasi Rani Barai | Nanocomposite materials | Best Researcher Award

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Assist Prof Dr. Hasi Rani Barai | Nanocomposite materials | Best Researcher Award

Assistant Professor at Yeungnam University, South Korea

Dr. Hasi Rani Barai is an accomplished Assistant Professor at Yeungnam University, Republic of Korea, specializing in materials science and nanotechnology. She completed her postdoctoral research in artificial photosynthesis at Sogang University and nanomaterials at Ewha Womans University. Dr. Barai has earned global recognition for her innovative work in energy storage devices and nanocomposite materials. She holds a Ph.D. from Inha University and has published extensively in high-impact journals. Her career is marked by a deep commitment to advancing materials engineering and green energy solutions.

Publication Profile

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Education 🎓

Ph.D. (2010–2013): Inha University, South Korea, under Prof. H.W. Lee – Research in physical organic mechanisms, nanomaterials, and high-energy materials. M.S. (2006–2008): University of Dhaka, Bangladesh, under Prof. M. Muhibur Rahman – Specialized in laser spectroscopy and physical chemistry. B.Sc. (2000–2006): University of Dhaka, Bangladesh, under Prof. M. Muhibur Rahman – Studied chemistry with a focus on nanomaterials and spectroscopy.

Experience 🔬 

Assistant Professor (2015–present): Yeungnam University, South Korea – Leading research in nanocomposites, energy storage, and biosensors Postdoctoral Fellow (2013–2015): Sogang University, South Korea – Focused on artificial photosynthesis and nanocatalysts for CO2 reduction. Postdoctoral Fellow (2013): Ewha Womans University, South Korea – Researched nanoparticles for energy storage. Research Fellow: Expert in supercapacitors, electrochemistry, and MOFs.

Awards and Honors 🏅

KCAP Fellowship: Awarded for outstanding research in artificial photosynthesis and nanomaterials at Sogang University. Best Paper Award: Recognition for top-tier research publications in energy storage systems. International Research Grants: Secured multiple research grants to advance the field of nanotechnology and green energy. Young Scientist Award: Honored for innovative contributions in the field of materials science and energy devices.

Research Focus 🔍 

Materials Science & Engineering: Specializes in nanocomposites, supercapacitors, and biosensors. Electrochemistry & Energy Storage: Focus on supercapacitors, nanoparticles, and energy storage devices for sustainable technologies. Nanotechnology & Catalysis: Research in nanocatalysts, MOFs, and CO2 reduction for artificial photosynthesis. Green Energy: Leading innovations in renewable energy solutions using nanomaterials and advanced electrochemistry.

Publication  Top Notes

High-Performance Battery-Type Supercapacitors: Investigated the growth of nanorods/nanospheres on conductive frameworks for energy storage. ACS Applied Materials & Interfaces, July 2024. DOI: 10.1021/acsami.4c03109

Detection of Polymorphisms in FASN, DGAT1, and PPARGC1A Genes: Analyzed gene associations with milk yield and composition traits in river buffalo. Animals, June 2024. DOI: 10.3390/ani14131945

Conductive Gels for Energy Storage and Conversion: Studied design strategies for materials used in energy applications. Materials, May 2024. DOI: 10.3390/ma17102268

Antibiotic Resistance in Plant Pathogenic Bacteria: Discussed environmental impacts and biocontrol agents. Plants, April 2024. DOI: 10.3390/plants13081135

pH-Sensitive Hydrogel Membrane for Dye Water Purification: Developed sodium alginate/poly(vinyl alcohol) hydrogel for environmental applications. ACS ES&T Water, February 2024. DOI: 10.1021/acsestwater.3c00567

 

Conclusion

Dr. Hasi Rani Barai is highly suitable for the Best Researcher Award due to her remarkable achievements in the fields of nanocomposite materials, energy storage, and artificial photosynthesis. Her extensive academic and research career reflects excellence in innovative materials science, positioning her as a leading researcher in cutting-edge technologies that address global challenges. By fostering international collaborations and emphasizing applied research, Dr. Barai’s already stellar portfolio could reach even greater heights, making her a deserving candidate for this award.

Assoc Prof Dr. Xinyu Liu | Brain Computer Interface | Best Researcher Award

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Dr.  Huanghuai University, china

Dr. Xinyu Liu, Assistant Dean of the School of Intelligent Manufacturing at Huanghuai University, holds a B.S. in Automation from Henan University and an M.S. and Ph.D. in Control Science and Engineering from Zhengzhou University. Since joining Huanghuai University in 2017, he has made significant contributions to neural mechanism analysis, brain-computer interface technology, and animal robotics. Dr. Liu has led numerous high-impact research projects, including the Henan University Science and Technology Innovation Talent Project and National Natural Science Foundation of China Youth Foundation. His work focuses on spatial navigation, cognitive mapping, and smart home technologies for disabled patients, with a strong emphasis on interdisciplinary innovation.

Professional Profiles:

Orcid

🎓 Academic and Professional Background

Xinyu Liu received his B.S. degree in Automation from Henan University, Kaifeng, China, in 2009. He earned his M.S. degree in Detection Technology and Automation Instruments and his Ph.D. in Control Science and Engineering from Zhengzhou University, Zhengzhou, China, in 2012 and 2017, respectively. In 2017, he joined Huanghuai University, where he currently serves as an Associate Professor in the School of Intelligent Manufacturing.

🚀 Research and Innovations

Completed/Ongoing Research Projects:Henan University Science and Technology Innovation Talent Project: Spatial Navigation Neural Mechanism Analysis, Modeling and Application (24HASTIT041), 2024.01-2026.12, 300,000 RMB (Project Leader)Training Program for Young Backbone Teachers in Colleges and Universities of Henan Province: Research on Key Technologies of Animal Robots (2023JGGJS156), 2024.01-2026.12, 30,000 RMB (Project Leader)Youth Foundation of National Natural Science Foundation of China: Information Encoding Mechanism of Pigeon Hippocampus Cognitive Map for Navigation Targets (62003146), 2021.01-2023.12, 240,000 RMB (Project Leader)Key Research and Development Project of Henan Province: Research and Development and Industrialization of Key Technology for Sports Rehabilitation of Brain Computer Interface Nerve Injury
(241111211600), 2024.01-2026.12, 1.1 million RMB (Project Leader)

 

Evaluation of Dr. Liu Xinyu for the Best Researcher Award

Strengths:

  1. Diverse Research Portfolio: Dr. Liu Xinyu has demonstrated an impressive range of research interests, focusing on cutting-edge areas such as brain-computer interfaces, spatial navigation, and robotics. His work spans from the fundamental analysis of neural mechanisms to practical applications in brain-controlled systems and smart home technologies for disabled patients.
  2. Leadership in Research Projects: Dr. Liu has successfully led numerous high-impact research projects, securing substantial funding from prestigious institutions like the National Natural Science Foundation of China and the Henan Provincial Key Laboratory. His ability to attract and manage large-scale projects reflects his leadership, project management skills, and recognition in his field.
  3. Contributions to Neurotechnology: His work on brain-computer interfaces and neurotechnology, especially in the context of rehabilitation and assistive devices, is particularly noteworthy. The focus on translating research into practical applications for disabled patients highlights his commitment to socially impactful research.
  4. Academic Excellence: With advanced degrees in automation, detection technology, and control science, Dr. Liu has a solid academic foundation that supports his innovative research. His position as the Assistant Dean at Huanghuai University underscores his standing in the academic community.
  5. Prolific Publishing and Innovation: Dr. Liu’s consistent output in research and innovation, including projects like the development of mind-ALS brain-controlled systems and bionic navigation technology, showcases his ability to blend theoretical knowledge with technological innovation.

Areas for Improvement:

  1. Broader International Collaboration: While Dr. Liu has achieved significant success within China, expanding his collaborations with international researchers and institutions could enhance the global impact of his work. This might also lead to a more diversified perspective and innovative approaches.
  2. Increased Publication in High-Impact Journals: While leading many projects, increasing the number of publications in top-tier, high-impact international journals could further elevate his academic profile and enhance the visibility of his research.
  3. Focus on Interdisciplinary Research: Dr. Liu could benefit from engaging in more interdisciplinary research that combines his expertise in neurotechnology with other emerging fields such as artificial intelligence and machine learning. This could open up new avenues for innovation and practical applications.

 

✍️Publications Top Note :

Development of Digital Stereotaxic Instrument for Pigeons (Columba Livia)

Journal: Journal of Bionic Engineering

Publication Date: July 2022

DOI: 10.1007/s42235-022-00194-0

Contributors: Xinyu Liu, Yanna Ping, Dongyun Wang, Hang Xie, Li Shi

Adaptive Common Average Reference for In Vivo Multichannel Local Field Potentials

Journal: Biomedical Engineering Letters

Publication Date: 2017

DOI: 10.1007/s13534-016-0004-1

Response Properties of Place Cells in the Hippocampus of Freely Moving Pigeons

Journal: Scientia Sinica Vitae

Publication Date: 2017

Contributors: Xinyu Liu, Hong Wan, Xuemei Chen, Zhigang Shang, Li Shi, Shan Li, Yan Chen, Jiejie Nie

The Role of Nidopallium Caudolaterale in the Goal-Directed Behavior of Pigeons

Journal: Behavioural Brain Research

Publication Date: March 2017

DOI: 10.1016/j.bbr.2017.02.042

 

Decoding Movement Trajectory of Hippocampal Place Cells by Particle Filter

Journal: Progress in Biochemistry and Biophysics

Publication Date: 2016

DOI: 10.16476/j.pibb.2016.0082

Conclusion:

Dr. Liu Xinyu is a highly accomplished researcher whose work in brain-computer interfaces, neurotechnology, and automation stands out as both innovative and impactful. His leadership in numerous high-profile research projects and his role as an Assistant Dean at Huanghuai University further attest to his capabilities and contributions to the field. To reach even greater heights, Dr. Liu could focus on expanding his international collaborations, increasing his presence in high-impact journals, and embracing more interdisciplinary approaches. Given his achievements and potential for future contributions, Dr. Liu Xinyu is a strong candidate for the Best Researcher Award.

Baolei Guo | Vascular Surgery | Best Researcher Award

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Assoc Dr.  Department of Vascular Surgery, Zhongshan Hospital Fudan University, china

Dr. Baolei Guo is an Associate Professor at Fudan University and an Attending Doctor in the Department of Vascular Surgery at Zhongshan Hospital, Fudan University, where he has served since 2017. He earned his MD and Ph.D. from Shanghai Medical College, Fudan University, and has been involved in numerous research projects, focusing on vascular surgery, medical imaging, and device development. Dr. Guo has received multiple prestigious grants, including the Health Youth Talent Training Program and the National Natural Science Foundation of China Youth Fund. His work is published in top journals, highlighting innovations in vascular surgery and imaging techniques.

 

Professional Profiles:

Scopus

 

🏢 Employment

Associate Professor, Fudan University (03/2023-present)Attending Doctor, Department of Vascular Surgery, Zhongshan Hospital Fudan University (10/2020-present)Resident Doctor, Department of Vascular Surgery, Zhongshan Hospital Fudan University (07/2017-10/2020)Resident Doctor, Department of Anesthesiology, Zhongshan Hospital Fudan University (07/2013-09/2014)

🎓 Education Experience

Shanghai Medical College, Fudan UniversityMD, PhD (2014-2017)Department of Chemical Engineering, Imperial College LondonPhD Visiting Scholar (2016-2017)Shanghai Medical College, Fudan UniversityMSc (2010-2013)Hebei Chengde Medical CollegeBSc (2005-2010)

💰 Current Grants

Health Youth Talent Training Program of Shanghai Municipal Health Commission2022YQ013, 2023/01-2025/12, 300,000¥, PIShanghai “Medical Academy Rising Star” Youth Medical Talent Training Funding ProgramR2021-016, 2022/01-2024/12, 100,000¥, PI

Dr. Baolei Guo for the Best Researcher Award

Strengths for the Award:

  1. Extensive Research and Publications: Dr. Baolei Guo has an impressive record of publications in prestigious journals like European Journal of Vascular and Endovascular Surgery, Journal of Vascular Surgery, and IEEE Transactions on Biomedical Engineering. His research primarily focuses on vascular surgery, particularly on aortic dissection, endovascular repair, and imaging technologies, which are highly relevant to advancements in vascular health.
  2. Leadership in Research Projects: As the Principal Investigator (PI) for multiple significant grants, Dr. Guo has demonstrated strong leadership and innovation in his field. His involvement in pioneering projects such as the study of PET-CT/4D-PCMR combined with IVUS multimodal imaging technology and the development of plaque surface cleaning devices during CAS highlights his commitment to improving surgical outcomes and patient care.
  3. International Collaboration and Recognition: Dr. Guo’s international experience as a visiting scholar at Imperial College London, coupled with his collaboration with researchers globally, underlines his recognition in the academic community. This global perspective enhances the impact and applicability of his research in diverse healthcare settings.
  4. Clinical Expertise: With extensive clinical experience as an attending and resident doctor in vascular surgery, Dr. Guo bridges the gap between research and practice. His work directly influences clinical procedures, making his research highly translational and impactful.
  5. Innovative Approach: Dr. Guo’s research integrates advanced imaging techniques and computational modeling, contributing to the development of cutting-edge technologies in vascular surgery. His work on creating a swine model for type B aortic dissection and his studies on the hemodynamics of vascular diseases exemplify his innovative approach.

Areas for Improvement:

  1. Broader Dissemination of Research: While Dr. Guo has a robust publication record, expanding his reach through more public-facing platforms, such as conferences, seminars, or involvement in international committees, could further enhance his visibility and influence in the global research community.
  2. Collaboration with Industry: Engaging with the medical device industry for the translation of his research into commercially viable products could significantly boost the practical application of his work. This would also open avenues for securing additional funding and enhancing the real-world impact of his research.
  3. Diversity of Research Topics: While Dr. Guo has established expertise in vascular surgery, exploring related fields such as cardiovascular biomaterials or regenerative medicine could diversify his research portfolio and contribute to a more comprehensive approach to vascular health.

 

✍️Publications Top Note :

  • Fauzi, M.F.M., Johari, N.H., Mokhtarudin, M.J.M., Yusoff, B.M., Guo, B.
    Fluid-Structure Interaction Modelling of Blood Flow in Peripheral Arterial Disease.
    Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 2024, 119(1), pp. 117–133.
  • Gao, P., Guo, B., Zhang, M., Dai, X., Liu, H.
    Modeling Method of Aortic Homeostasis Considering Three-Dimensional Residual Deformation.
    Yiyong Shengwu Lixue/Journal of Medical Biomechanics, 2024, 39(3), pp. 510–517.
  • Zhang, S., Guo, B., Hu, M.
    Some Reflections on Investigating the Long Term Healthy Life Quality of Acute Type B Aortic Dissection Patients.
    European Journal of Vascular and Endovascular Surgery, 2024, 67(3), pp. 524–525.
  • Guo, B., Chen, C., Li, Y., Fu, W., Zhang, W.W.
    Principles of Optimal Antithrombotic Therapy for Iliac Venous Stenting (POATIVES): A National Expert-Based Delphi Consensus Study.
    Journal of Vascular Surgery: Venous and Lymphatic Disorders, 2024, 12(2), 101739.
  • Armour, C., Guo, B., Saitta, S., Dong, Z., Xu, X.Y.
    The Role of Multiple Re-Entry Tears in Type B Aortic Dissection Progression: A Longitudinal Study Using a Controlled Swine Model.
    Journal of Endovascular Therapy, 2024, 31(1), pp. 104–114.
  • Wang, K., Armour, C.H., Guo, B., Dong, Z., Xu, X.Y.
    A New Method for Scaling Inlet Flow Waveform in Hemodynamic Analysis of Aortic Dissection.
    International Journal for Numerical Methods in Biomedical Engineering, 2024.

Conclusion:

Dr. Baolei Guo stands out as a strong candidate for the Best Researcher Award due to his significant contributions to vascular surgery research, his leadership in innovative projects, and his integration of clinical expertise with research. By expanding his research dissemination efforts and fostering collaborations with industry, Dr. Guo could further elevate his impact in the field. His work not only advances scientific knowledge but also directly improves patient outcomes, making him a deserving contender for this prestigious award.

Confidence Kalu | Climate Smart Agriculture | Best Researcher Award

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Dr. Confidence Kalu | Climate Smart Agriculture | Best Researcher Award

Dr. National Root Crops Research Institute Umudike Abia State, Nigeria

Dr. Confidence Amaechi Kalu is a Chief Research Fellow at the National Root Crops Research Institute in Umudike, Nigeria, with a PhD in Agribusiness and Financial Management. Her research focuses on agricultural economics, with experience ranging from graduate internships to postdoctoral research. She has participated in numerous professional training programs and leadership courses, including Women in Leadership Training funded by Australian Awards Africa and project management by HiiT Plc Lagos. Dr. Kalu has received significant research grants, such as the Australian awards grant on Agribusiness value chain and the World Bank Step B Project Grant for her PhD dissertation. She is dedicated to advancing agricultural research and education.

Professional Profiles:

Scopus

Orcid

EDUCATION 🎓

Doctoral Degree
PhD in Agribusiness and Financial Management 16/10/2015 Department of Agribusiness and Management, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria

Master’s Degree
MSc in Farm Management and Production Economics 12/8/2008 Department of Agricultural Economics, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria

Bachelor’s Degree
BSc (Honors) in Agricultural Economics and Extension 28/11/2002 Department of Agricultural Economics and Rural Sociology, Federal University of Technology Owerri, Imo State, Nigeria

Secondary School
Senior School Certificate 2/9/1996 Community Secondary School Ohanze, Abia State, Nigeria

Primary School
First School Leaving Certificate 20/6/1989 Mosque Street Girls Primary School, Aba, Abia State, Nigeria

HISTORY OF RESEARCH SERVICE 📚

Aug – Dec 2001: Graduate Internship, University Farm, Federal University of Technology Owerri, Imo State, Nigeria. Sept 2003-Aug 2004: National Youth Service Corps, Agricultural Science Teacher, Unity Secondary School Gwaram, Jigawa State Feb 2005-Mar 2006: Agricultural Officer, CAE Farms Nigeria Limited 2007-2010: Assistant Lecturer, Proof Management College, Eket, Akwa Ibom State. 2010-2015: PhD Research Fellow, Department of Agribusiness, Michael Okpara University of Agriculture, Umudike 2016-date: Postdoctoral Research Fellow, National Root Crops Research Institute, Umudike, Abia State, Nigeria

PROFESSIONAL ENHANCEMENT TOWARDS KNOWLEDGE GENERATION 🌱

LEADERSHIP TRAININGWomen in Leadership Training funded by Australian Awards Africa (September 24-27, 2019)Project Management and Leadership Training Course organized by HiiT Plc Lagos (August 26 – October 2022) PROFESSIONAL TRAINING AND SYNERGISTIC ACTIVITIES

Grant Writing Proposal Training organized by Agricultural Policy Research Network in Delta State University Asaba, Nigeria (July 2-4, 2017) Rapid Value Chain Analysis Training sponsored by Australia Awards Africa held in Ghana (October 2017) Training on Econometric Analysis with RATS and EVIEWS held at Michael Okpara University of Agriculture Umudike, Abia State, Nigeria (June and July 2018) Workshop on the Use of LSMS Data held in Nairobi, Kenya (August 2019) Training on Survey Data Analysis using STATA held at Michael Okpara University of Agriculture Umudike, Abia State, Nigeria, sponsored by Feed the Future Nigeria Agriculture Policy Activity (July 3-7, 2023) Online Programming Course on Python (July – August 2020) Impact Evaluation Retooling Workshop for Researchers and Teaching Faculty from Sub-Saharan Africa organized by African Economic Research Consortium (AERC) in Nairobi (July 5-11, 2023)

🏆RESEARCH GRANTS AND AWARDS

Australian Awards Grant on Agribusiness Value Chain held in Queensland University Brisbane (16th August – 2nd October 2017) World Bank Step B Project Grant for PhD Dissertation (October 2014 – August 2015)

✍️Publications Top Note :

Article: A Comparison of the Drying Kinetics, Energy Consumption and Colour Quality of Drying Medicinal Leaves in Direct-Solar Dryer with Different Colours of Collector Cover

Authors: Ndukwu, M.C., Akpan, G., Okeahialam, A.N., … Mbanasor, J., Wu, H.
Journal: Renewable Energy, 2023, Vol. 216, Article 119076
Citations: 3

Article: Heat Transfer Correlations and Pressure Drop Dynamics of Palm Fibre Wetting Media for Evaporative Cooling at Different Air Flow Rates

Authors: Ndukwu, M.C., Matthew, I., Godwin, A., … Mbanasor, J., Wu, H.
Journal: International Journal of Refrigeration, 2023, Vol. 154, pp. 268–280
Citations: 0

Review: Progressive Review of Solar Drying Studies of Agricultural Products with Exergoeconomics and Econo-Market Participation Aspect

Authors: Ndukwu, M.C., Ibeh, M., Okon, B.B., … Mbanasor, J., Bennamoun, L.
Journal: Cleaner Environmental Systems, 2023, Vol. 9, Article 100120
Citations: 5

Article: Analysis of the Influence of Outdoor Surface Heat Flux on the Inlet Water and the Exhaust Air Temperature of the Wetting Pad of a Direct Evaporative Cooling System

Authors: Ndukwu, M.C., Ibeh, M.I., Akpan, G.E., … Ben, A.E., Mbanasor, J.
Journal: Applied Thermal Engineering, 2023, Vol. 226, Article 120292
Citations: 5

Article: Farmers’ Perspective toward a Demand-Led Yam Breeding in Nigeria

Authors: Kalu, C., Nnabue, I., Edemodu, A., … Asfaw, A., Obidiegwu, J.E.
Journal: Frontiers in Sustainable Food Systems, 2023, Vol. 7, Article 1227920
Citations: 1

Article: Quality Attributes of Fufu in South-East Nigeria: Guide for Cassava Breeders

Authors: Chijioke, U., Madu, T., Okoye, B., … Fliedel, G., Egesi, C.
Journal: International Journal of Food Science and Technology, 2021, Vol. 56(3), pp. 1247–1257
Citations: More details

Dr. Jie Jian | Fuctional materials | Best Researcher Award

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Dr. Jie Jian | Fuctional materials | Best Researcher Award

Dr. Jie Jian , Northwestern Polytechnical University, China

Dr. Jie Jian is a distinguished PostDoc in Materials Science at Northwestern Polytechnical University, specializing in photoelectrodes and photocatalysts. With expertise in nanomaterial synthesis and advanced film processing technologies, Dr. Jian has significantly contributed to the field through innovative research and optimization strategies. His academic journey includes a PhD and M.S. from NPU, focusing on BiVO4-nanocrystals and SiC ceramic composites, respectively, and a B.S. from Chongqing University. Dr. Jian has also gained industry experience as an engineer at Samsung Semiconductor. His work is characterized by a profound understanding of material characterization and software proficiency.

 

Professional Profiles:

Google Scholar

 

🌟 Technical-Scientific Skills 🌟

Mastering Preparation, Testing, and Characterization of photoelectrodes (photoanodes and photocathodes) and photocatalysts, proposing optimization strategies based on photoelectrochemical principles.Expert in Synthesis of Nanomaterials using pulsed laser irradiation in liquid and wet-chemical methods, and proficient in the design, synthesis, and functional exploration of porous materials.Film Processing Technologies: Skilled in spin coating, dip coating, chemical baths, electrodeposition, magnetron sputtering, and ALD.Material Characterization: Proficient in TEM, SEM, AFM, Raman, BET, UV-vis, XPS, XRD, FTIR.Software Proficiency: Photoshop, 3D-Max, Origin, Endnote, VESTA, Gatan, CAD, ChemDraw, Athena.

📚 Academic Education and Career 📚

03/2022-present
PostDoc in Materials Science, Northwestern Polytechnical University (NPU)
Supervisor: Prof. Hongqiang Wang
Project: In-situ Embedding Nanocrystals/Clusters in Porous Materials for Efficient Photo(electro)catalysis09/2016-03/2023
PhD in Materials Science, Northwestern Polytechnical University (NPU)
Supervisor: Prof. Hongqiang Wang
Thesis Title: Laser Derived Films of BiVO4-Nanocrystals for Efficient Photoelectrochemical Water Splitting04/2015-08/2016
Engineer, Samsung (China) Semiconductor Co., Ltd., Xi’an, China (SCS)
Task: Process controlling and equipment monitoring during chemical vapor deposition.09/2012-03/2015
M.S. in Materials Science, Northwestern Polytechnical University (NPU)
Supervisor: Prof. Laifei Cheng
Thesis Title: Strengthening and Toughening of Laminated (SiCp+SiCw)/SiC Ceramic Composites09/2008-07/2012
B.S. in Materials Science and Engineering, Chongqing University (CQU)
Supervisor: Prof. Baifeng Luan
Thesis Title: Study on deformation structure and texture of pure zirconium with large grain size rolled at liquid nitrogen temperature
GPA: 3.55/4
Ranking: 3/72

📖 Publications Top Note :

Embedding Laser-Generated Nanocrystals in BiVO4 Photoanode for Efficient Photoelectrochemical Water Splitting
J Jian, Y Xu, X Yang, W Liu, M Fu, H Yu, F Xu, F Feng, L Jia, D Friedrich, …
Nature Communications 10 (1), 2609 (2019)
Citations: 160

Recent Advances in Rational Engineering of Multinary Semiconductors for Photoelectrochemical Hydrogen Generation
J Jian, G Jiang, R van de Krol, B Wei, H Wang
Nano Energy 51, 457-480 (2018)
Citations: 160

Black BiVO4: Size Tailored Synthesis, Rich Oxygen Vacancies, and Sodium Storage Performance
X Xu, Y Xu, F Xu, G Jiang, J Jian, H Yu, E Zhang, D Shchukin, S Kaskel, …
Journal of Materials Chemistry A 8 (4), 1636-1645 (2020)
Citations: 67

Porous CuBi2O4 Photocathodes with Rationally Engineered Morphology and Composition Towards High-Efficiency Photoelectrochemical Performance
Y Xu, J Jian, F Li, W Liu, L Jia, H Wang
Journal of Materials Chemistry A 7 (38), 21997-22004 (2019)
Citations: 61

Ordered Porous BiVO4 Based Gas Sensors with High Selectivity and Fast-Response Towards H2S
C Li, X Qiao, J Jian, F Feng, H Wang, L Jia
Chemical Engineering Journal 375, 121924 (2019)
Citations: 59

Prof Dr. Teng Ben | porous materials | Best Researcher Award

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Prof Dr. Teng Ben | porous materials
| Best Researcher Award

Prof Dr. Teng Ben , Zhejiang Normal University, China

Prof Dr. Teng Ben 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

👨‍🏫 Biography

Prof. Teng Ben is a distinguished Professor at the Institute of Advanced Fluorine-containing Materials, Zhejiang Normal University, Jinhua, China. He has made significant contributions to the field of chemistry, particularly in the development and application of novel porous organic frameworks.

🎓 Education

Prof. Ben obtained his bachelor and Ph.D. degrees from Jilin University, China, in 1997 and 2002, respectively. His academic journey has been marked by a series of notable achievements and positions.Bachelor Degree: Jilin University (1993/09-1997/07)PhD: Jilin University (1997/07-2002/07)

🏫 Career

Prof. Ben’s professional career began at Jilin University, where he served as a lecturer from 2002 to 2004. His journey continued as a postdoctoral fellow at Nagoya University under the Japan Society for the Promotion of Science (JSPS) Fellowship. Here, he worked with Professor Eiji Yashima from 2005 to 2008.Lecturer: Jilin University (2002/07-2004/12)Postdoctoral Fellow: Nagoya University (2005/04-2008/04)Associate Professor: Jilin University (2005/01-2010/09)Professor: Jilin University (2010/10-2021/05)Distinguished Professor: Zhejiang Normal University (2021/06-present)

🏆 Awards and Recognitions

Prof. Ben has received several prestigious awards throughout his career, including:First Prize of Science and Technology Progress, Jilin Province (2012)First Prize for Natural Sciences, Jilin Province (2017)

📚 Publications and Impact

Prof. Ben has an impressive publication record with over 80 SCI papers in top-tier journals such as Chem. Rev., J. Am. Chem. Soc., Angew. Chem. Int. Ed., Adv. Mater., Energy Environ. Sci., and Chem. Sci. His work has been cited over 6000 times, earning him an h-index of 32. His research has been featured in prominent outlets like Nature Nanotechnology, Chemistry World, Chemistry Views, and The Times.

🔬 Research Focus

Prof. Ben’s current research interests are centered on the design, synthesis, and application of novel porous organic frameworks. His expertise extends to:The fabrication of porous organic material membranesThe carbonation of porous organic materialsThe preparation and application of crystalline porous organic salts

🌐 Professional Journey in Brief

1993/09-1997/07: Bachelor Degree, Jilin University (China) 1997/07-2002/07: PhD, Jilin University 2002/07-2004/12: Lecturer, Jilin University 2005/04-2008/04: Postdoctoral Fellow, Nagoya University (Professor Eiji Yashima) 2005/01-2010/09: Associate Professor, Jilin University 2010/10-2021/05: Professor, Jilin University 2021/06-present: Distinguished Professor, Zhejiang Normal University

 

📖 Publications Top Note :

Targeted Synthesis of a Porous Aromatic Framework with High Stability and Exceptionally High Surface Area

Authors: T Ben, H Ren, S Ma, D Cao, J Lan, X Jing, W Wang, J Xu, F Deng, S Qiu

Journal: Angewandte Chemie International Edition

Year: 2009

Volume: 48

Issue: 50

Pages: 9457-9460

Citations: 1672

Porous Organic Materials: Strategic Design and Structure–Function Correlation

Authors: S Das, P Heasman, T Ben, S Qiu

Journal: Chemical Reviews

Year: 2017

Volume: 117

Issue: 3

Pages: 1515-1563

Citations: 1075

Gas Storage in Porous Aromatic Frameworks (PAFs)

Authors: T Ben, C Pei, D Zhang, J Xu, F Deng, X Jing, S Qiu

Journal: Energy & Environmental Science

Year: 2011

Volume: 4

Issue: 10

Pages: 3991-3999

Citations: 505

Fabrication of COF-MOF Composite Membranes and Their Highly Selective Separation of H2/CO2

Authors: J Fu, S Das, G Xing, T Ben, V Valtchev, S Qiu

Journal: Journal of the American Chemical Society

Year: 2016

Volume: 138

Issue: 24

Pages: 7673-7680

Citations: 501

Porous Aromatic Frameworks: Synthesis, Structure and Functions

Authors: T Ben, S Qiu

Journal: CrystEngComm

Year: 2013

Volume: 15

Issue: 1

Pages: 17-26

Citations: 304

Selective Adsorption of Carbon Dioxide by Carbonized Porous Aromatic Framework (PAF)

Authors: T Ben, Y Li, L Zhu, D Zhang, D Cao, Z Xiang, X Yao, S Qiu

Journal: Energy & Environmental Science

Year: 2012

Volume: 5

Issue: 8

Pages: 8370-8376

Citations: 265

Ultrahigh Iodine Adsorption in Porous Organic Frameworks

Authors: C Pei, T Ben, S Xu, S Qiu

Journal: Journal of Materials Chemistry A

Year: 2014

Volume: 2

Issue: 20

Pages: 7179-7187

Citations: 248

Targeted Synthesis of a 3D Porous Aromatic Framework for Selective Sorption of Benzene

Authors: H Ren, T Ben, E Wang, X Jing, M Xue, B Liu, Y Cui, S Qiu, G Zhu

Journal: Chemical Communications

Year: 2010

Volume: 46

Issue: 2

Pages: 291-293

Citations: 239

Synthesis of Crystalline Porous Organic Salts with High Proton Conductivity

Authors: G Xing, T Yan, S Das, T Ben, S Qiu

Journal: Angewandte Chemie International Edition

Year: 2018

Volume: 57

Issue: 19

Pages: 5345-5349

Citations: 170

Synthesis of a Porous Aromatic Framework for Adsorbing Organic Pollutants Application

Authors: H Ren, T Ben, F Sun, M Guo, X Jing, H Ma, K Cai, S Qiu, G Zhu

Journal: Journal of Materials Chemistry

Year: 2011

Volume: 21

Issue: 28

Pages: 10348-10353

Citations: 164

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