Chang Hyun Sohn | Computational Fluid Dynamic | Best Researcher Award

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. ๐ŸŽ“ With expertise in Computational Fluid Dynamics (CFD), Flow-Induced Vibration, and Particle Image Velocimetry (PIV), he has made significant contributions to thermal-fluid sciences. ๐ŸŒŠ 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. โœˆ๏ธ His extensive research output includes 134 journal papers, 64 conference proceedings, 37 books & reports, and 5 patents. ๐Ÿ“š Recognized with prestigious awards, he has held leadership roles in KSME, KASE, and KSCFE. ๐Ÿ”ฌ His influence spans academia, industry, and engineering societies, making him a pioneer in fluid dynamics research. ๐ŸŒ

Profile

scholar

Education ๐ŸŽ“

Ph.D. in Mechanical Engineering, KAIST, South Korea (1991) ๐Ÿ† Focused on thermal-fluid flow and CFD modeling, advancing numerical simulations in fluid dynamics. ๐Ÿ’กM.E. in Mechanical Engineering, KAIST, South Korea (1985) ๐Ÿ“Š Specialized in computational modeling and flow analysis, contributing to advanced engineering applications. ๐Ÿš€B.E. in Mechanical Engineering, Kyungpook National University, South Korea (1983) ๐Ÿ”ง Developed a strong foundation in mechanical systems, thermodynamics, and aerodynamics, shaping future research in flow dynamics. ๐ŸŒช๏ธ

Professional Experience ๐Ÿข

Professor, Kyungpook National University (1994 – Present) ๐Ÿ‘จโ€๐Ÿซ Leading fluid dynamics research and mentoring future engineers. ๐ŸŽฏTeam Manager, Agency for Defense Development (ADD) (1991 – 1994) ๐Ÿ›ฉ๏ธ Spearheaded small jet engine development and military propulsion technology. ๐Ÿ’จVisiting Professor, University of Cambridge (1996 – 1997) ๐Ÿ‡ฌ๐Ÿ‡ง Collaborated on aerodynamic research in turbulence and flow modeling. ๐Ÿ“ˆVisiting Professor, University of Tennessee (2005 – 2006) ๐Ÿ‡บ๐Ÿ‡ธ Advanced CFD applications in thermal-fluid sciences. ๐Ÿ”ฅVice Dean, College of Engineering, KNU (2007 – 2008) ๐Ÿ“Œ Strengthened academic programs in mechanical and automotive engineering. ๐Ÿ—๏ธDirector, Industrial-University Consortium Center (2007 – 2008) ๐Ÿ”„ Enhanced industry-academic collaboration for applied mechanical research. ๐Ÿญ

Awards & Honors ๐Ÿ†

Outstanding Paper Award, Korean Society for Computational Fluid Engineering (2010) ๐Ÿ“œ Recognized for excellence in CFD-based thermal-fluid research. ๐Ÿ”ฅBest Paper Award, Korean Society of Mechanical Engineers (2010) โœจ Acknowledged for groundbreaking contributions to mechanical engineering innovations. ๐Ÿš—Advisor of Winning Team, National Fluid Engineering Competition (2010) ๐Ÿ… Mentored students in a national-level fluid mechanics challenge. ๐ŸŽฏOutstanding Portfolio Instructor, KNU (2010) ๐Ÿ‘ Honored for exceptional teaching in mechanical and aerospace engineering. ๐Ÿ“–Invited Speaker, IBCAST (2016) & FMFP (2017) ๐ŸŽค Shared insights on fluid mechanics, CFD, and turbulence modeling in global conferences. ๐ŸŒŽ

Research Focus ๐Ÿ”ฌ

Computational Fluid Dynamics (CFD) ๐Ÿ–ฅ๏ธ Developing high-precision simulations for thermal-fluid flows, aerodynamics, and turbulence modeling. ๐ŸŒช๏ธParticle Image Velocimetry (PIV) Measurement ๐Ÿ“ธ Enhancing fluid flow visualization techniques for experimental validation of CFD models. ๐Ÿ’กFlow-Induced Vibration (FIV) ๐Ÿ”Š Investigating structural interactions with fluid flow for safer, more efficient engineering systems. ๐Ÿ—๏ธAerospace & Automotive Applications ๐Ÿš€ Designing advanced propulsion systems, aerodynamic vehicles, and jet engines. โœˆ๏ธThermal-Fluid System Optimization โšก Improving cooling systems, energy efficiency, and industrial heat transfer mechanisms. ๐Ÿ”ฅ

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.

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

Dr.ย  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:

๐ŸŽ“ 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.

๐Ÿš€ 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. Liuโ€™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.

 

โœ๏ธ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.

Dr. Zahraa Mohammed | Information Security | Women Researcher Award

Dr. Zahraa Mohammed | Information Security | Women Researcher Award

Dr. Zahraa Mohammed, Babylon university, Iraq

Dr. Zahraa Mohammed 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:

Scopus

๐ŸŽ“ EDUCATION HISTORY ๐ŸŽ“

Bachelor of Science in Computer Science, 2006Master of Computer Science, 2016Doctoral Student

๐Ÿ’ผ WORK EXPERIENCE ๐Ÿ’ผ

Teacher at University of Babylon, Iraq ๐Ÿ“š

๐Ÿ” RELEVANT SKILLS ๐Ÿ”

Fluency in English

๐Ÿ“–ย Publications Top Note :

Article: Advancing Cloud Image Security via AES Algorithm Enhancement Techniques

Authors: Mohammed, Z.A.; Gheni, H.Q.; Hussein, Z.J.; Al-Qurabat, A.K.M.

Published in: Engineering, Technology and Applied Science Research, 2024, 14(1), pp. 12694โ€“12701

Abstract: [Abstract not available]

Related Documents: [Links disabled]

Conference Paper: Routing Information Protocol (RIP) for Wired Network

Authors: Hussein, Z.J.; Mohammed, Z.A.; Al-Qurabat, A.K.M.; Gheni, H.Q.

Published in: AIP Conference Proceedings, 2023, 2787(1), 050025

Abstract: [Abstract not available]

Related Documents: [Links disabled]

Conference Paper: Lightweight Cryptography Concepts and Algorithms: A Survey

Authors: Mohammed, Z.A.; Hussein, K.A.

Published in: 2nd International Conference on Advanced Computer Applications, ACA 2023, 2023, pp. 180โ€“186

Abstract: [Abstract not available]

Related Documents: [Links disabled]

Article: Data Traffic Management Based on Compression and MDL Techniques for Smart Agriculture in IoT

Authors: Al-Qurabat, A.K.M.; Mohammed, Z.A.; Hussein, Z.J.

Published in: Wireless Personal Communications, 2021, 120(3), pp. 2227โ€“2258

Abstract: [Abstract not available]

Related Documents: [Links disabled]

Conference Paper: Improve HR Decision-Making Based on Data Mart and OLAP

Authors: Hamoud, A.K.; Ulkareem, M.A.; Hussain, H.N.; Mohammed, Z.A.; Salih, G.M.

Published in: Journal of Physics: Conference Series, 2020, 1530(1), 012058

Abstract: [Abstract not available]

Related Documents: [Links disabled]