Chang Hyun Sohn | Computational Fluid Dynamic | Best Researcher Award

Published on 14/02/202514/02/2025 by Mechanics Awards

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.

Zhansheng Wu | Enzyme immobilization | Best Researcher Award

Published on 16/12/202416/12/2024 by Mechanics Awards

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.

Wei-Zhi Wu | mathemarical foundations of AI | Best Researcher Award

Published on 05/11/202405/11/2024 by Mechanics Awards

Prof. Wei-Zhi Wu | mathemarical foundations of AI | Best Researcher Award

Professor at Zhejiang Ocean Univeristy, China

Wei-Zhi Wu, Ph.D., is a distinguished Professor of Mathematics at Zhejiang Ocean University in Zhoushan, China. With a prolific career in applied mathematics, Dr. Wu specializes in granular computing, data mining, and the mathematical foundations of artificial intelligence. He has contributed to over 200 articles in esteemed journals, as well as four key monographs. His expertise has earned him repeated recognition on Elsevier’s Most Cited Chinese Researchers list (2014-2023), as well as among the Top 100,000 Scientists globally, with a remarkable 2% percentile ranking in both career and annual categories. Dr. Wu also holds prominent editorial roles in various international academic journals.

Publication Profile

scholar

Education🎓

B.Sc. in Mathematics – Zhejiang Normal University, Jinhua, China, 1986 M.Sc. in Mathematics – East China Normal University, Shanghai, China, 1992 Ph.D. in Applied Mathematics – Xi’an Jiaotong University, Xi’an, China, 2002

Experience🖊️

Professor of Mathematics – School of Information Engineering, Zhejiang Ocean University, Zhoushan, Chin Extensive Publications – Authored 200+ articles and 4 monographs in mathematics, computing, and AI Editorial Board Membership – Serves on multiple prestigious international journals, contributing to mathematical and AI research dissemination Research Leader – Notable for pioneering efforts in granular computing, data mining, and AI foundations

Awards and Honors🏆

Most Cited Chinese Researchers – Featured in Elsevier’s list (2014-2023) mTop Global Scientist – Ranked in the Top 100,000 Scientists worldwide, with a career-long and single-year ranking in the top 2% Prolific Author – Renowned for influential monographs and extensive publication record Editorial Distinction – Serves as an editorial board member for multiple top-tier international journals

Research Focus🌍

Granular Computing – Explores and applies granular structures in computational systems Data Mining – Develops and advances data mining techniques for complex data analysis Mathematics of AI – Examines foundational mathematical principles underpinning artificial intelligence algorithms Interdisciplinary Applications – Integrates applied mathematics into practical AI and computing solutions

Publication Top Notes

粗糙集理论与方法 (Rough Set Theory and Methods)
Authors: 张文修, 吴伟志, 梁吉业, 李德玉
Publisher: 科学出版社 (Science Press)
Citations: 620*
Year: 2001
Generalized Fuzzy Rough Sets
Authors: W.Z. Wu, J.S. Mi, W.X. Zhang
Journal: Information Sciences, Vol. 151, pp. 263-282
Citations: 769
Year: 2003
Constructive and Axiomatic Approaches of Fuzzy Approximation Operators
Authors: W.Z. Wu, W.X. Zhang
Journal: Information Sciences, Vol. 159(3), pp. 233-254
Citations: 554
Year: 2004
Approaches to Knowledge Reduction Based on Variable Precision Rough Set Model
Authors: J.S. Mi, W.Z. Wu, W.X. Zhang
Journal: Information Sciences, Vol. 159(3-4), pp. 255-272
Citations: 525
Year: 2004
Granular Computing and Knowledge Reduction in Formal Contexts
Authors: W.Z. Wu, Y. Leung, J.S. Mi
Journal: IEEE Transactions on Knowledge and Data Engineering, Vol. 21(10), pp. 1461-1474
Citations: 432
Year: 2009
Knowledge Acquisition in Incomplete Information Systems: A Rough Set Approach
Authors: Y. Leung, W.Z. Wu, W.X. Zhang
Journal: European Journal of Operational Research, Vol. 168(1), pp. 164-180
Citations: 414
Year: 2006
Neighborhood Operator Systems and Approximations
Authors: W.Z. Wu, W.X. Zhang
Journal: Information Sciences, Vol. 144(1), pp. 201-217
Citations: 284
Year: 2002
On Characterizations of (I, T)-Fuzzy Rough Approximation Operators
Authors: W.Z. Wu, Y. Leung, J.S. Mi
Journal: Fuzzy Sets and Systems, Vol. 154(1), pp. 76-102
Citations: 279
Year: 2005
Knowledge Reduction in Random Information Systems via Dempster–Shafer Theory of Evidence
Authors: W.Z. Wu, M. Zhang, H.Z. Li, J.S. Mi
Journal: Information Sciences, Vol. 174(3-4), pp. 143-164
Citations: 267
Year: 2005
A Rough Set Approach for the Discovery of Classification Rules in Interval-Valued Information Systems
Authors: Y. Leung, M.M. Fischer, W.Z. Wu, J.S. Mi
Journal: International Journal of Approximate Reasoning, Vol. 47(2), pp. 233-246
Citations: 258
Year: 2008

Conclusion

Dr. Wei-Zhi Wu is a highly accomplished researcher whose work demonstrates both depth and breadth across mathematics, data mining, and AI. His robust research profile, substantial publications, international recognition, and leadership roles affirm his suitability for the Best Researcher Award. Given his impactful contributions to foundational AI research, awarding him could encourage further advances in mathematical applications within AI and inspire other scholars in related fields.

Jinxia Zhang | Defect detection | Best Researcher Award

Published on 18/10/202418/10/2024 by Mechanics Awards

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.

Shiquan Lin | liquid-solid contact electrification | Best Researcher Award

Published on 23/09/202423/09/2024 by Mechanics Awards

Assoc Prof Dr. Shiquan Lin | liquid-solid contact electrification | Best Researcher Award

Professor at NBeijing Institute of Technology, china

Assoc Prof Dr. Shiquan Lin, an Associate Research Fellow at the Beijing Institute of Nanoenergy and Nanosystems, CAS, is a distinguished researcher in contact electrification, triboelectric sensors, and nanoenergy devices. With over 30 papers published in high-impact journals and citations exceeding 3,000, he is making significant contributions to the fields of nanotechnology and energy harvesting. He earned his Ph.D. from Tsinghua University and completed postdoctoral research at the National Center for Nanoscience and Technology, China. His research focuses on designing sensors and devices using contact electrification principles for advanced applications.

Publication Profile

Scholar

Education 🎓

Ph.D. in Mechanical Engineering from Tsinghua University (2013.09–2018.07). During his doctoral studies, Assoc Prof Dr. Shiquan Lin focused on advanced mechanical systems, tribology, and nanotechnology, publishing research in top journals and developing expertise in contact electrification and smart sensing technologies. B.S. in Mechanical Engineering from the University of Science and Technology Beijing (2009.09–2013.07). His undergraduate experience laid the groundwork for his passion in engineering mechanics and materials science, sparking an interest in nanotechnology and energy devices that led to his graduate research.

Experience💼

Associate Research Fellow at the Beijing Institute of Nanoenergy and Nanosystems, CAS (2020.10–present): Assoc Prof Dr. Shiquan Linleads research in contact electrification, smart sensors, and micro-actuators, contributing to groundbreaking technologies in nanoenergy. Postdoctoral Researcher at the National Center for Nanoscience and Technology, China (2018.07–2020.10): Assoc Prof Dr. Shiquan Lin deepened his research into triboelectric nanogenerators and semiconductor interfaces, publishing extensively and collaborating on advanced projects. Guest editor and young editorial board member of prestigious journals such as Friction and China Surface Engineering, contributing to the academic community.

Awards and Honors🏆

National Natural Science Foundation of China Grant No. 52375213 (2024.01–2027.12) National Natural Science Foundation of China Grant No. 52005044 (2021.01–2023.12) Tribology Science Fund of the State Key Laboratory of Tribology in Advanced Equipment: No. SKLTKF23A02 (2024.01–2026.12) Recognized as a young editorial board member for Friction and China Surface Engineering, showcasing his leadership in the field of tribology and surface engineering.

Research Focus🔬

Assoc Prof Dr. Shiquan Lin specializes in the study of contact electrification and its applications in smart sensors and nanoenergy. His research explores charge transfer at solid-solid, liquid-solid, and semiconductor interfaces, with a focus on high-voltage, highly sensitive devices. He designs micro-actuators and liquid component analysis devices based on contact electrification principles, contributing to innovations in triboelectric nanogenerators and energy harvesting systems. His work has been published in leading journals, advancing the field of nanoscience

Publication Top Notes

Quantifying electron-transfer in liquid-solid contact electrification and the formation of electric double-layer
S. Lin, L. Xu, A. Chi Wang, Z.L. Wang, Nature Communications, 11 (1), 399 – 445 citations, 2020
Probing contact‐electrification‐induced electron and ion transfers at a liquid–solid interface
J. Nie, Z. Ren, L. Xu, S. Lin, F. Zhan, X. Chen, Z.L. Wang, Advanced Materials, 32 (2), 1905696 – 411 citations, 2020
Contact electrification at the liquid–solid interface
S. Lin, X. Chen, Z.L. Wang, Chemical Reviews, 122 (5), 5209-5232 – 331 citations, 2021
Contributions of different functional groups to contact electrification of polymers
S. Li, J. Nie, Y. Shi, X. Tao, F. Wang, J. Tian, S. Lin, X. Chen, Z.L. Wang, Advanced Materials, 32 (25), 2001307 – 280 citations, 2020
Electron transfer in nanoscale contact electrification: effect of temperature in the metal–dielectric case
S. Lin, L. Xu, C. Xu, X. Chen, A.C. Wang, B. Zhang, P. Lin, Y. Yang, H. Zhao, Advanced Materials, 31 (17), 1808197 – 237 citations, 2019
Electron transfer as a liquid droplet contacting a polymer surface
F. Zhan, A.C. Wang, L. Xu, S. Lin, J. Shao, X. Chen, Z.L. Wang, ACS Nano, 14 (12), 17565-17573 – 188 citations, 2020
Charge pumping strategy for rotation and sliding type triboelectric nanogenerators
Y. Bai, L. Xu, S. Lin, J. Luo, H. Qin, K. Han, Z.L. Wang, Advanced Energy Materials, 10 (21), 2000605 – 148 citations, 2020
The tribovoltaic effect and electron transfer at a liquid-semiconductor interface
S. Lin, X. Chen, Z.L. Wang, Nano Energy, 76, 105070 – 123 citations, 2020
Electron transfer in nanoscale contact electrification: photon excitation effect
S. Lin, L. Xu, L. Zhu, X. Chen, Z.L. Wang, Advanced Materials, 31 (27), 1901418 – 121 citations, 2019
Scanning probing of the tribovoltaic effect at the sliding interface of two semiconductors
M. Zheng, S. Lin, L. Xu, L. Zhu, Z.L. Wang, Advanced Materials, 32 (21), 2000928 – 110 citations, 2020
Effects of surface functional groups on electron transfer at liquid–solid interfacial contact electrification
S. Lin, M. Zheng, J. Luo, Z.L. Wang, ACS Nano, 14 (8), 10733-10741 – 107 citations, 2020
Triboelectric nanogenerator as a probe for measuring the charge transfer between liquid and solid surfaces
J. Zhang, S. Lin, M. Zheng, Z.L. Wang, ACS Nano, 15 (9), 14830-14837 – 88 citations, 2021
Photovoltaic effect and tribovoltaic effect at liquid-semiconductor interface
M. Zheng, S. Lin, Z. Tang, Y. Feng, Z.L. Wang, Nano Energy, 83, 105810 – 86 citations, 2021
Environmental energy harvesting adapting to different weather conditions and self-powered vapor sensor based on humidity-responsive triboelectric nanogenerators
Z. Ren, Y. Ding, J. Nie, F. Wang, L. Xu, S. Lin, X. Chen, Z.L. Wang, ACS Applied Materials & Interfaces, 11 (6), 6143-6153 – 85 citations, 2019
Piezo-phototronic Effect Enhanced Photodetector Based on CH3NH3PbI3 Single Crystals
Q. Lai, L. Zhu, Y. Pang, L. Xu, J. Chen, Z. Ren, J. Luo, L. Wang, L. Chen, K. Han, ACS Nano, 12 (10), 10501-10508 – 79 citations, 2018
The overlapped electron‐cloud model for electron transfer in contact electrification
S. Lin, C. Xu, L. Xu, Z.L. Wang, Advanced Functional Materials, 30 (11), 1909724 – 77 citations, 2020
A droplet-based electricity generator for large-scale raindrop energy harvesting
Z. Li, D. Yang, Z. Zhang, S. Lin, B. Cao, L. Wang, Z.L. Wang, F. Yin, Nano Energy, 100, 107443 – 66 citations, 2022
Quantifying contact‐electrification induced charge transfer on a liquid droplet after contacting with a liquid or solid
Z. Tang, S. Lin, Z.L. Wang, Advanced Materials, 33 (42), 2102886 – 58 citations, 2021
Bipolar charge transfer induced by water: experimental and first-principles studies
S. Lin, T. Shao, Physical Chemistry Chemical Physics, 19 (43), 29418-29423 – 47 citations, 2017
Triboelectric nanogenerator array as a probe for in situ dynamic mapping of interface charge transfer at a liquid–solid contacting
J. Zhang, S. Lin, Z.L. Wang, ACS Nano, 17 (2), 1646-1652 – 45 citations, 2023

Conclusion

Overall, this candidate demonstrates excellence in research, publication, and academic leadership. Their contributions to contact electrification and nanotechnology are impactful, and their work has gained significant attention in the scientific community. By enhancing their international collaborations and expanding the practical applications of their research, they could further solidify their status as a top candidate for the Best Researcher Award. Their strong funding track record, combined with their editorial roles, makes them a highly competitive nominee for this prestigious recognition.

Mr. Bingtao Wang | Energy consumption model | Best Researcher Award

Published on 27/06/202427/06/2024 by Mechanics Awards

Mr. Bingtao Wang | Energy consumption model | Best Researcher Award

Mr. Bingtao Wang, Shan Dong University, China

Bingtao Wang, currently a Master’s student in Communication Engineering at Shandong University (Weihai), holds a Bachelor’s degree in Electronic Engineering. His research focuses on energy consumption models and fault diagnosis in mobile robots. Bingtao has led multiple innovative projects, including the development of a quadcopter UAV and a visual perception crawler robot. His significant contribution lies in the creation of robust energy models and diagnostic methods that enhance the efficiency and reliability of Three-Wheeled Omnidirectional Mobile Robots (TOMRs), paving the way for future advancements in autonomous navigation and robotics.

Professional Profiles:

Orcid

🎓 Academic and Professional Background (100 words max):

Bingtao Wang, male, was born in Liaocheng City, Shandong Province in September 2001. In 2023, he graduated from Shandong University (Weihai) with a Bachelor’s degree in Electronic Engineering. He is currently pursuing a Master’s in Communication Engineering at Shandong University (Weihai), College of Electrical and Engineering. His research focuses on energy consumption model building and fault diagnosis.

📝 Self-Declaration:

I authenticate that to the best of my knowledge the information given in this form is correct and complete. At any time, I am found to have concealed any material information, my application shall be liable to be summarily terminated without notice. I have read the terms and conditions and other policies of the Awards and agree to them.

✍️Publications Top Note :

Fault Detection and Diagnosis of Three-Wheeled Omnidirectional Mobile Robot Based on Power Consumption Modeling

Dr. Masih Paknejad | precision machining Award | Best Researcher Award

Published on 02/04/202402/04/2024 by Mechanics Awards

Dr. Masih Paknejad | precision machining Award | Best Researcher Award

Dr. Masih Paknejad, KSF (Kompetenzzentrum für Spanende Fertigung), Germany

Dr. Masih Paknejad 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:

Orcid

Google scholar

Work Experience 🛠️

Institute of Advanced Machining (KSF), GermanyTeam Leader, Postdoctoral Research Fellow2023 – PresentMachine Tools Committee ISO/ISIRI TC 39, IranSenior Member, Chief and Technical Editor of Machine Tools Standards2022 – PresentTurbine Engineering and Manufacturing Co. (TUGA), IranExpert Engineer (R&D Department)2019 – 2021Persian Ultrasonic Co., IranCEO, Design and Manufacture of High Power Ultrasonic Transducer2019 – PresentHitec-Machinery Trading Co., IranTechnical Advisor, Supervisor of Test and Calibration of Machine Tools2017 – 2019Semnan University, IranLecturer2018 – 2019Courses: Materials Science and Engineering, Metrology Lab., Machine Tools Workshop, Engineering Drawing, Hydraulics and Hydraulics Lab, Welding WorkshopAmirkabir University of Technology, IranStrength of Material Lab Expert, Metrology Lab Expert, Teacher Assistant2012 – 2018Courses: Nontraditional Manufacturing Processes, Machine Element DesignIslamic Azad University (Saveh Branch), IranLecturer2011 – 2012Courses: Metrology, Production Methods, Nontraditional Manufacturing Processes

Education 🎓

Furtwangen University – KSF Institute
Feb 2022 – Sep 2023Postdoc FellowTitle: Ultras-Short Pulse Laser-Assisted Micro-Grinding of Silicon CeramicsAmirkabir University of TechnologySep 2011 – Nov 2017
Ph.D.Dissertation: Theoretical-Experimental Model of Heat Generation in Ultrasonic Assisted Dry Creep Feed Grinding ProcessFurtwangen University – KSF Institute
Jun 2014– Jan 2015Sabbatical ResearcherAmirkabir University of TechnologySep 2008 – Jul 2011M.Sc.Thesis: Theoretical and Experimental Analysis of Ultrasonic Assisted Indentation Forming of TubeIsfahan University of TechnologySep 2004– Sep 2008B.Sc.Thesis: Design of Centrifugal Chip Lubricant Separator DeviceAwards & Honors 🏆Scholarship Award granted by the Ministry of Science Research and Technology of IranAward of the Alborz Regional Innovation and Flourishing Festival, National Elites FoundationPatent for “Design and Manufacture of Ultrasonic Assisted Indentation Forming Device”Award of Elite Entrance, National Organization for Educational Testing (NOET)Ranked 3rd among 39 Undergraduate Students, Mechanical Engineering Department, Isfahan University of TechnologyComputer Skills 💻Mechanical Eng. Software: ABAQUS, ANSYS, CATIA, MasterCAM, MSC Visual

Nastran, Automation StudioProgramming Language: MATLABSoftware Packages: Microsoft Office, Windows

Awards & Honors 🏆

Scholarship Award granted by the Ministry of Science Research and Technology of IranAward of the Alborz Regional Innovation and Flourishing Festival, National Elites FoundationPatent for “Design and Manufacture of Ultrasonic Assisted Indentation Forming Device”Award of Elite Entrance, National Organization for Educational Testing (NOET)Ranked 3rd among 39 Undergraduate Students, Mechanical Engineering Department, Isfahan University of Technology

Computer Skills 💻

Mechanical Eng. Software: ABAQUS, ANSYS, CATIA, MasterCAM, MSC Visual Nastran, Automation StudioProgramming Language: MATLABSoftware Packages: Microsoft Office, Windows

📊 Citation Metrics (Google Scholar):

Citations by: All – 87, Since 2019 – 70

h-index: All – 3, Since 2018 – 3

i10 index: All – 3, Since 2018 –3

📖 Publications Top Note :

Investigation of laser-assisted cylindrical grinding of silicon nitride ceramics with controlled damage zone

Journal: Optics & Laser Technology

Date: July 2024

DOI: 10.1016/j.optlastec.2024.110616

Contributors: Esmaeil Ghadiri Zahrani; Masih Paknejad; Ali Zahedi; Bahman Azarhoushang

Laser-assisted surface grinding of innovative superhard SiC-bonded diamond (DSiC) materials

Journal: Ceramics International

Date: February 2024

DOI: 10.1016/j.ceramint.2024.02.323

Contributors: Masih Paknejad; Bahman Azarhoushang; Ali Zahedi; Mehdi Khakrangin; Robert Bösinger; Faramarz Hojati

Investigation of material removal mechanisms of laser-structured Si3N4 via single diamond grit scratching

Journal: The International Journal of Advanced Manufacturing Technology

Date: March 2023

DOI: 10.1007/s00170-022-10793-0

Contributors: Masih Paknejad; Bahman Azarhoushang; Ali Zahedi; Mehdi Khakrangin; Mohammad Ali Kadivar

Investigation of material removal mechanisms of laser-structured Si3N4 via single diamond grit scratching

Date: September 2, 2022

DOI: 10.21203/rs.3.rs-1974605/v1

Contributors: Masih Paknejad; Bahman Azarhoushang; Ali Zahedi; Mehdi Khakrangin; Mohammad Ali Kadivar

Ductile-brittle transition mechanisms in micro-grinding of silicon nitride

Journal: Ceramics International

Date: August 2022

DOI: 10.1016/j.ceramint.2022.08.088

Contributors: Masih Paknejad

Numerical Simulation of Ultrasonic Assisted Indentation Tube Forming

Journal: ADMT Journal

Date: September 2020

DOI: 10.30495/admt.2020.1869462.1124

Contributors: Masih Paknejad

Effects of high power ultrasonic vibration on temperature distribution of workpiece in dry creep feed up grinding

Journal: Ultrasonics Sonochemistry

Date: November 2017

DOI: 10.1016/j.ultsonch.2017.04.029

Contributors: Masih Paknejad

Theoretical and experimental analyses of ultrasonic-assisted indentation forming of tube

Journal: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

Date: March 2014

DOI: 10.1177/0954405413501502

Contributors: Masih Paknejad

Assoc Prof Dr. Oğuzhan Demir | Solid Mechanics Award | Best Researcher Award

Published on 20/03/202420/03/2024 by Mechanics Awards

Assoc Prof Dr. Oğuzhan Demir | Solid Mechanics Award | Best Researcher Award

Assoc Prof Dr. Oğuzhan Demir, Bilecik Şeyh Edebali University, Turkey

Assoc Prof Dr. Oğuzhan Demir 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:

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🎓 Education

Bachelor: Mechanical Engineering, Selçuk University, 2009Master: Mechanical and Manufacturing Engineering, Bilecik Şeyh Edebali University, 2012Doctorate: Mechanical Engineering, Sakarya University, 2016

🏢 Affiliation

Department/Division: Mechanical EngineeringUniversity/Institute: Bilecik Şeyh Edebali UniversityCity: BilecikCountry: Turkey

👨‍🏫 Academic Titles

Research Assistant: Mechanical Engineering, Bilecik Şeyh Edebali University, 2010-2016Assistant Professor: Mechanical Engineering, Bilecik Şeyh Edebali University, 2017-2022Associate Professor: Mechanical Engineering, Bilecik Şeyh Edebali University, 2022-Current