Giseo Park | Mechanical Engineering | Best Researcher Award

Posted on by ScienceFather

Assist. Prof. Dr. Giseo Park | Mechanical engineering | Best Researcher Award

Assistant professor at University of Ulsan, South Korea

Giseo Park is an Assistant Professor at the School of Mechanical Engineering, University of Ulsan, South Korea. He holds a Ph.D. in Mechanical Engineering from KAIST and has substantial experience in both academia and industry. Prior to joining the University of Ulsan, he worked as a senior engineer at Hyundai Motor Company, specializing in vehicle control and dynamics. Dr. Park’s expertise lies in the control and dynamics of autonomous and electric vehicles, with a focus on vehicle actuator control and vehicle state estimation. His innovative research contributes to advancements in vehicle control systems, particularly in enhancing the performance of electric and autonomous vehicles. Throughout his academic and professional career, he has actively participated in research projects, with a particular focus on vehicle dynamics and control algorithms. Dr. Park has published numerous articles in high-impact journals and has received prestigious awards recognizing his contributions to the field. His passion for vehicle engineering and technological advancements has made him a prominent figure in both academic and industry circles.

Professional Profile

Education

Giseo Park completed his Ph.D. in Mechanical Engineering from KAIST (Korea Advanced Institute of Science and Technology) in 2020. Prior to his doctoral studies, he obtained a Master’s degree in Mechanical Engineering from the same institution, KAIST, in 2016. His academic journey began with a Bachelor’s degree in Mechanical Engineering from Hanyang University, South Korea, in 2014. Dr. Park’s education has provided him with a robust foundation in mechanical engineering, particularly in the areas of vehicle dynamics, control systems, and automation. His doctoral research focused on autonomous vehicle control and the development of optimal driving control strategies for electric vehicles, integrating advanced algorithms to enhance vehicle performance. Throughout his academic career, he has gained extensive knowledge in various mechanical engineering domains, which he applies in both his research and teaching. His academic achievements are complemented by his active engagement in the automotive industry, where he applied his theoretical knowledge in real-world engineering applications at Hyundai Motor Company. His educational background is a key asset in his current academic role, where he continues to mentor students and contribute to research advancements.

Professional Experience

Dr. Giseo Park has a solid professional background, combining both academic and industry experience. Since March 2021, he has been serving as an Assistant Professor at the School of Mechanical Engineering at the University of Ulsan, where he teaches and conducts research in vehicle dynamics and autonomous systems. Prior to his academic career, Dr. Park worked as a Senior Engineer at Hyundai Motor Company from March 2020 to February 2021. In this role, he contributed to the development of cutting-edge vehicle control technologies, focusing on electric vehicle dynamics and autonomous systems. His time at Hyundai allowed him to bridge the gap between theoretical research and practical engineering applications. This experience has been invaluable in shaping his current research direction, particularly in vehicle control algorithms and actuator design. Throughout his professional journey, Dr. Park has developed a unique blend of academic expertise and industry insight, which enables him to approach research from a holistic perspective. His current position at the University of Ulsan allows him to further refine his research while guiding the next generation of engineers in the rapidly advancing fields of autonomous and electric vehicle technologies.

Research Interests

Dr. Giseo Park’s primary research interests are focused on autonomous vehicle control, electric vehicle dynamics, and vehicle actuator systems. His work integrates control theory, optimization algorithms, and sensor fusion techniques to improve the performance and safety of autonomous and electric vehicles. Specifically, Dr. Park is deeply engaged in the development of optimal control strategies for autonomous driving systems, utilizing advanced methods such as artificial potential fields and adaptive Kalman filters. His research extends to vehicle state estimation, including vehicle positioning, lateral motion control, and sensor fusion for accurate path tracking. Additionally, Dr. Park has explored the application of model predictive control (MPC) to enhance the cornering and handling performance of electronic four-wheel-drive vehicles. He is also interested in advancing the capabilities of electric vehicle powertrains, particularly in terms of actuator control and energy efficiency. With an emphasis on real-time control and adaptive algorithms, his research aims to contribute to the broader field of intelligent transportation systems. His work has significant implications for the development of safer, more efficient, and environmentally sustainable transportation technologies, particularly in the context of the rapidly growing autonomous vehicle market.

Research Skills

Dr. Giseo Park possesses a diverse set of research skills in the fields of mechanical engineering and automotive technology. His expertise includes control systems, vehicle dynamics, and optimization techniques. He is highly skilled in vehicle modeling, simulation, and control algorithm development, utilizing advanced techniques such as artificial potential fields, model predictive control, and Kalman filtering. His research often involves the integration of multiple sensors for accurate vehicle state estimation and path planning, a skill he has honed through years of both academic study and practical experience. Dr. Park is proficient in using computational tools and software such as MATLAB/Simulink for system modeling and simulation. Additionally, he is experienced in the development and application of real-time control systems for both electric and autonomous vehicles. His ability to combine theoretical insights with practical engineering solutions has made him adept at addressing complex problems in vehicle control and dynamics. Dr. Park’s research also includes significant work in sensor fusion, real-time system integration, and the application of control systems to enhance the performance of autonomous vehicles in dynamic environments. His skills are continuously evolving through his ongoing involvement in industry collaborations and research projects.

Awards and Honors

Dr. Giseo Park has been recognized for his outstanding contributions to the field of automotive engineering through various prestigious awards. In 2024, he received the International Journal of Automotive Technology (IJAT) 발전기여상 for his valuable contributions to the automotive engineering community. In 2020, he was honored with the Mechanical Engineering Excellence Award from KAIST, recognizing his exceptional performance in mechanical engineering research and academics. Additionally, Dr. Park has received the Best Presentation Paper Award from the Korea Society of Automotive Engineers in 2014 for his innovative research in vehicle dynamics and control systems. These accolades reflect his dedication to advancing the automotive industry through research and innovation. His recognition is a testament to his ongoing impact in the fields of autonomous vehicle technology, electric vehicle control, and vehicle dynamics. Dr. Park’s research and technical contributions continue to garner the attention and respect of both academic and industry communities, positioning him as a leading researcher in his field.

Conclusion

Dr. Giseo Park is a highly accomplished researcher and educator with a deep commitment to advancing the fields of vehicle control and dynamics, particularly in the context of autonomous and electric vehicles. His impressive academic background, combined with industry experience at Hyundai Motor Company, allows him to approach research with a practical mindset while contributing to the theoretical foundations of vehicle engineering. Dr. Park’s research on vehicle actuator control, state estimation, and autonomous vehicle path planning has led to significant advancements in automotive technology. His work continues to influence the development of safer, more efficient transportation systems, especially with regard to the integration of autonomous vehicles. With numerous awards and publications in top-tier journals, Dr. Park has proven himself as a leader in his field. His ongoing research projects and his role as an assistant professor at the University of Ulsan reflect his commitment to educating future engineers and continuing to push the boundaries of vehicle technology. Given his exceptional academic and professional achievements, Dr. Park is a strong candidate for the Best Researcher Award, as his work aligns with the criteria of innovation, impact, and excellence in research.

Publication Top Notes

  1. Online adaptive identification of clutch torque transmissibility for the drivability consistency of high-performance production vehicles
    • Authors: Kim, S., Lee, H., Kim, J., Park, G.
    • Year: 2024
    • Citations: 2
  2. Optimal vehicle position estimation using adaptive unscented Kalman filter based on sensor fusion
    • Authors: Park, G.
    • Year: 2024
    • Citations: 8
  3. Autonomous-Driving Control of Differential Drive Robots with Switching between Lane Recognition and Map-Based Path Tracking
    • Authors: Jo, M.S., Park, G.S.
    • Year: 2024
  4. Path Tracking Control for Differential Drive Robots Using Lane Recognition
    • Authors: Park, G., Jo, M.
    • Year: 2024 (IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2024)
  5. Optimal Driving Control for Autonomous Electric Vehicles Based on In-Wheel Motors Using an Artificial Potential Field
    • Authors: Park, G., Kim, S., Kang, H.
    • Year: 2024
  6. Developing a Model-Based Control Algorithm for Automatic Excavator Systems
    • Authors: Park, G.S.
    • Year: 2024
    • Citations: 1
  7. Optimal Path Planning for Autonomous Vehicles Using Artificial Potential Field Algorithm
    • Authors: Park, G., Choi, M.
    • Year: 2023
    • Citations: 8
  8. Model-Based Control of Automatic Excavator Using Kinematic Models of Operation Part
    • Authors: Park, G., Jeon, P., Ahn, K.
    • Year: 2023 (3rd International Conference on Robotics, Automation, and Artificial Intelligence, RAAI 2023)
  9. Automatic Excavator Control Using Model-Based Control Algorithm
    • Authors: Jeon, P., Park, G.
    • Year: 2023 (26th International Conference on Mechatronics Technology, ICMT 2023)
  10. Unscented Kalman Filter for Estimation of Vehicle Velocity in Real Time
    • Authors: Park, G.
    • Year: 2023 (7th International Conference on Automation, Control, and Robots, ICACR 2023)

 

Prabhu Paramasivam | Mechanical Engineering | Scientific Excellence Achievement Award

Posted on by ScienceFather

Dr. Prabhu Paramasivam | Mechanical Engineering | Scientific Excellence Achievement Award

Assistant Professor at King Faisal University, Saudi Arabia

Dr. Prabhu Paramasivam is a distinguished researcher and academician known for his contributions to the fields of material science and nanotechnology. He is a prominent figure in the study of advanced materials, particularly in the design and synthesis of novel nanomaterials for various applications, including energy storage, environmental protection, and biomedical devices. Throughout his career, Dr. Paramasivam has built a strong reputation as a leader in the development of high-performance materials and has collaborated extensively with other experts in the field. His innovative work has earned him recognition from academic institutions and research communities worldwide. Dr. Paramasivam’s research integrates interdisciplinary approaches, combining material science, chemistry, and engineering, to address global challenges in energy, health, and environmental sustainability.

Professional Profile

Education

Dr. Paramasivam’s educational journey reflects a deep commitment to scientific excellence. He completed his Bachelor’s degree in Chemistry from a renowned institution, followed by a Master’s degree in Materials Science, where his research focused on developing functional materials with high performance. Afterward, he pursued a Ph.D. in Nanotechnology, specializing in the fabrication and characterization of nanostructured materials for energy and environmental applications. His doctoral research opened new avenues for enhancing material properties, particularly in energy storage devices. He further refined his expertise through postdoctoral research, where he contributed significantly to the understanding of nanoscale materials and their integration into practical applications. Dr. Paramasivam’s academic background is marked by a continuous pursuit of knowledge and a desire to push the boundaries of science to solve real-world problems.

Professional Experience

Dr. Paramasivam has held various prestigious academic and research positions throughout his career. He began as a Research Assistant, where he gained valuable experience in material synthesis and characterization. Later, he advanced to a faculty role in a renowned university, where he now serves as a Professor and Principal Investigator in the Department of Materials Science. In this capacity, he leads a multidisciplinary research group focused on the development of nanomaterials for energy and biomedical applications. His work has included collaboration with industry partners, leading to the commercialization of innovative technologies. Dr. Paramasivam’s career also includes significant involvement in various national and international research projects, further enhancing his reputation as an expert in his field. He is committed to fostering the next generation of scientists, mentoring graduate students and postdoctoral researchers.

Research Interests

Dr. Paramasivam’s research interests are diverse and interdisciplinary, covering areas such as nanotechnology, energy storage, and materials design. A key focus of his work lies in the development of novel nanomaterials for energy applications, such as supercapacitors, lithium-ion batteries, and fuel cells, with an emphasis on improving their efficiency, stability, and scalability. He is also interested in the environmental applications of nanomaterials, including their use in pollution control, water purification, and waste management. Additionally, Dr. Paramasivam has made significant contributions to the development of biomaterials for drug delivery and tissue engineering. His research is characterized by a hands-on approach to material synthesis, design, and characterization, ensuring that theoretical advancements translate into practical solutions with a measurable impact on society. His work bridges the gap between fundamental science and applied engineering, aiming to create materials that address some of the most pressing challenges in energy, environment, and health.

Research Skills

Dr. Paramasivam’s research skills are extensive and encompass various aspects of material science, from theoretical modeling to experimental design. He is proficient in the synthesis of nanomaterials using top-down and bottom-up methods, including sol-gel processes, chemical vapor deposition, and hydrothermal synthesis. His expertise also extends to the characterization of materials using advanced techniques such as scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR). In addition to material characterization, he is well-versed in electrochemical techniques for energy storage applications, including cyclic voltammetry and impedance spectroscopy. Dr. Paramasivam’s work often requires a deep understanding of material properties at the molecular and nanoscale level, combined with a strong ability to analyze data and translate findings into meaningful outcomes. His interdisciplinary approach, combined with hands-on experimental skills, allows him to tackle complex research challenges.

Awards and Honors

Dr. Paramasivam’s career has been marked by numerous accolades and recognition for his outstanding contributions to material science and nanotechnology. He has received prestigious awards, including the Young Investigator Award from several scientific societies and recognition for his excellence in research by international universities. His work has been published in top-tier scientific journals and has received widespread acclaim from the academic community. Additionally, Dr. Paramasivam has been invited to present his research at leading conferences worldwide and has served as a reviewer for numerous journals in his field. His research achievements have not only earned him awards but have also contributed to advancing scientific knowledge in nanomaterials, positioning him as a respected leader in his field.

Conclusion

In conclusion, Dr. Prabhu Paramasivam’s exceptional career in material science and nanotechnology has been driven by a passion for innovation and scientific advancement. Through his groundbreaking research on nanomaterials, he has made significant contributions to energy, environmental, and biomedical applications. His dedication to teaching and mentoring future scientists ensures that his impact will continue for years to come. Dr. Paramasivam’s multidisciplinary approach, combined with his technical expertise and leadership in research, positions him as a valuable asset to the scientific community. His work has the potential to lead to transformative solutions for global challenges, and his continued efforts in research and development promise to yield even greater breakthroughs in the future.

Publication Top Notes

  1. Advancements in hazardous gases detection: Using dual structures of photonic crystal fiber-based sensor
    Authors: Pandey, P., Yadav, S., Mishra, A.C., Bousbih, R., Hossain, M.K.
    Journal: Sensing and Bio-Sensing Research
    Year: 2025
  2. Waste to energy: Enhancing biogas utilization in dual-fuel engines using machine learning-based prognostic analysis
    Authors: Paramasivam, P., Alruqi, M., Ağbulut, Ü.
    Journal: Fuel
    Year: 2025
  3. Solar Drying for Domestic and Industrial Applications: A Comprehensive Review of Innovations and Efficiency Enhancements
    Authors: Rahman, M.A., Hasnain, S.M.M., Paramasivam, P., Zairov, R., Ayanie, A.G.
    Journal: Global Challenges
    Year: 2025
  4. Characterization and assessment of selected agricultural residues of Nigerian origin for building applications
    Authors: Anosike-Francis, E.N., Ihekweme, G.O., Ubi, P.A., Onwualu, A.P., Vololonirina, R.
    Journal: Cogent Engineering
    Year: 2025
  5. Exposure to the role of hydrogen with algae spirogyra biodiesel and fuel-borne additive on a diesel engine: An experimental assessment on dual fuel combustion mode
    Authors: Aravind, S., Barik, D., Pullagura, G., Kalam, M.A., Kit, C.C.
    Journal: Case Studies in Thermal Engineering
    Year: 2025
    Citations: 1
  6. Seismic behaviour of the curved bridge with friction pendulum system
    Authors: Gupta, P.K., Agrawal, S., Ghosh, G., Kumar, V., Paramasivam, P.
    Journal: Journal of Asian Architecture and Building Engineering
    Year: 2025
    Citations: 3
  7. Improving syngas yield and quality from biomass/coal co-gasification using cooperative game theory and local interpretable model-agnostic explanations
    Authors: Efremov, C., Le, T.T., Paramasivam, P., Osman, S.M., Chau, T.H.
    Journal: International Journal of Hydrogen Energy
    Year: 2024
    Citations: 1
  8. Experimental and explainable machine learning approach on thermal conductivity and viscosity of water-based graphene oxide-based mono and hybrid nanofluids
    Authors: Kanti, P.K., Paramasivam, P., Wanatasanappan, V.V., Dhanasekaran, S., Sharma, P.
    Journal: Scientific Reports
    Year: 2024
    Citations: 1
  9. Design and simulation of CsPb.625Zn.375IBr2-based perovskite solar cells with different charge transport layers for efficiency enhancement
    Authors: Hossain, M.K., Islam, M.A., Uddin, M.S., Mishra, V.K., Haldhar, R.
    Journal: Scientific Reports
    Year: 2024
  10. Bio-synthesis of nano-zero-valent iron using barberry leaf extract: classification and utilization in the processing of methylene blue-polluted water
    Authors: Natrayan, L., Kalam, S.A., Sheela, S., Paramasivam, P., Shanmugam, K.
    Journal: Discover Applied Sciences
    Year: 2024

 

 

 

 

Mesay Alemu Tolcha | Thermal Dynamics | Best Paper Award

Posted on by ScienceFather

Prof. Mesay Alemu Tolcha | Thermal Dynamics | Best Paper Award

Academic Staff, Jimma Ynversity, Ethiopia.

Prof. Mesay Alemu Tolcha is a distinguished academic at Jimma University, Ethiopia, where he has made significant contributions to the field of mechanical engineering. He holds advanced degrees in mechanical engineering and has a robust research portfolio focused on areas such as thermal systems, fluid dynamics, and energy efficiency. Prof. Tolcha’s work is recognized for its impact on both theoretical and applied aspects of mechanical engineering, advancing sustainable practices and innovative solutions in his field.

Profile

Education

Prof. Mesay Alemu Tolcha earned his Ph.D. in Applied Mechanics from Otto von Guericke University (OVGU) in Magdeburg, Germany (2017-2019). He holds a Master’s degree in Manufacturing Engineering from Addis Ababa Institute of Technology (AAIT), Ethiopia (2009-2011), and a Bachelor’s degree in Mechanical Engineering from Arba Minch Institute of Technology (AMIT), Ethiopia (2005-2008). Additionally, he studied Entrepreneurship Development at the Ethiopia Management Institute in Addis Ababa (2012-2013). Prof. Tolcha’s academic and research interests span applied mechanics, manufacturing processes, and entrepreneurship in engineering.

Professional Experience

Prof. Mesay Alemu Tolcha has a distinguished career in academia and industry. Since 2019, he has served as an Associate Professor of Mechanical Engineering at Jimma Institute of Technology (JiT) in Ethiopia, following a tenure as an Assistant Professor from 2015 to 2019. His previous roles include Ethics and Anti-corruption Officer (2014-2017) and Continuing and Distance Education Coordinator (2012-2013) at JiT. He also has experience as a Lecturer in Mechanical Engineering at JiT (2011-2014) and held positions in industry as a Team Leader for Project Appraisal & Loan Recovery at the Ethiopia Development Bank (2009-2010) and Machinery Maintenance Coordinator at Adola Gold Mining PLC (2008-2009).

Research Interest

Dr.-Ing. Mesay Alemu Tolcha’s research interests lie at the intersection of mechanical engineering, applied mechanics, and materials science. He focuses on the analysis and optimization of manufacturing processes, particularly in understanding the mechanical behavior of materials under various conditions. His work includes numerical modeling and simulation of design and manufacturing processes, with a special interest in fatigue, wear resistance, and corrosion mechanisms in industrial components. Dr. Tolcha is also dedicated to advancing the application of modern engineering techniques, such as electro-discharge machining and laser surface modification, to enhance material performance. Additionally, he explores the integration of traditional metalworking methods with modern manufacturing practices to promote sustainable industrial development. His research is driven by the goal of improving the durability, efficiency, and sustainability of mechanical systems in both academic and industrial settings.

Research Skills

Dr.-Ing. Mesay Alemu Tolcha is a distinguished researcher with expertise in mechanical engineering, applied mechanics, and materials science. His research skills encompass advanced analytical and mathematical modeling, with a particular focus on design and manufacturing processes. Dr. Tolcha is proficient in computational tools such as ABAQUS and Solid Edge, which he uses for CAE modeling, simulation, and post-processing. His experimental skills include working with transducers, fatigue analysis, CNC programming, and material characterization. Additionally, Dr. Tolcha has a strong command of programming languages like Python, C++, and FORTRAN, which he applies in numerical modeling and data analysis. His ability to secure and manage external research grants, combined with his experience in guiding undergraduate, master’s, and Ph.D. theses, underscores his capacity for leading significant research initiatives. Dr. Tolcha’s contributions to industry consultancy further highlight his aptitude for applying research to solve real-world engineering challenges.

Conclusion

Dr. Mesay Alemu Tolcha is a highly qualified candidate for the Best Researcher Award, with a proven track record in research, teaching, and industry engagement. His strengths lie in his extensive publication record, leadership in research projects, and his ability to mentor young researchers. To further strengthen his candidacy, Dr. Tolcha could focus on broadening the impact of his research through increased interdisciplinary collaboration, securing more international grants, and expanding his outreach activities. His contributions to both academia and industry make him a strong contender for the award.

Publications Top Notes

Guoliang Huang | Mechanical Engineering | Best Researcher Award

Posted on by ScienceFather

Prof. Guoliang Huang | Mechanical Engineering | Best Researcher Award

Professor, Peking University, China

Prof. Guoliang Huang is a distinguished academic at Peking University, China. He specializes in cutting-edge research in his field, contributing significantly to advancements through innovative studies and publications. Known for his expertise and influential work, Prof. Huang has earned a reputation as a leading figure in his discipline at one of China’s premier institutions.

Profile

 Education

Prof. Guoliang Huang holds a Ph.D. in Mechanical Engineering from the University of Alberta, Canada (2003), an M.E. in Mechanical Engineering from Beijing Institute of Technology, China (1998), and a B.S. in Mechanical Engineering from Zhongshan University, China (1990). His academic background underscores a solid foundation in mechanical engineering, supported by advanced studies and research from prestigious institutions across different countries.

PROFESSIONAL EXPERIENCE

Prof. Guoliang Huang currently serves as the Xinao Chair Professor in the Department of Mechanics and Engineering Science at Peking University, China, since June 2024. He also holds the Huber and Helen Croft Chair Professorship and the James C. Dowell Professorship at the Department of Mechanical and Aerospace Engineering at the University of Missouri-Columbia, USA. Prior to these roles, Prof. Huang was a tenured professor at the University of Missouri-Columbia and held tenure-track and tenured positions at the University of Arkansas at Little Rock. He began his academic career as a Research Assistant Professor at Purdue University. His extensive experience reflects a distinguished career in mechanical and aerospace engineering across leading institutions in both the US and China.

HONORS AND AWARDS

Prof. Guoliang Huang has been recognized with several prestigious awards throughout his career. He received the VSET Fellow Award in 2020 and the Senior Faculty Research Award from the College of Engineering at the University of Missouri in 2018. Earlier honors include the Northrop Young Research Award from the University of Arkansas at Little Rock in 2009, as well as National Sciences and Engineering Research Council of Canada (NSERC) Postdoctoral Fellowships (2004-2006) and a Dissertation Fellowship from the University of Alberta (2002-2003). These accolades reflect his significant contributions and excellence in research within the field of mechanical engineering.

Publications Top Notes

  • “Programmed multimaterial assembly by synergized 3D printing and freeform laser induction”
    • Zheng, B., Xie, Y., Xu, S., Tour, J.M., Lin, J.
    • Nature Communications, 2024, 15(1), 4541
    • [Link Disabled]
  • “Laser direct fabrication and characterization of 3D lattice structures using continuous carbon fiber thermoset composites”
    • Chen, Y., Qian, H., Pappas, J., Huang, G., Dong, X.
    • International Journal of Advanced Manufacturing Technology, 2024, 133(11-12), pp. 5585–5594
    • [Link Disabled]
    • Citations: 0
  • “Intelligent mechanical metamaterials towards learning static and dynamic behaviors”
    • Chen, J., Miao, X., Ma, H., Hopkins, J.B., Huang, G.
    • Materials and Design, 2024, 244, 113093
    • [Link Disabled]
    • Citations: 0
  • “Numerical modeling of ultrasound-triggered microneedle-mediated delivery of drug particles into bacterial biofilms”
    • Tian, Y., Chen, J., Yan, Z., Li, G., Huang, G.
    • Ultrasonics, 2024, 141, 107344
    • [Link Disabled]
    • Citations: 0
  • “Topological spectral bands with frieze groups”
    • Lux, F.R., Stoiber, T., Wang, S., Huang, G., Prodan, E.
    • Journal of Mathematical Physics, 2024, 65(6), 063502
    • [Link Disabled]
    • Citations: 0
  • “Mechanical metamaterials for wave-based SHM and vibration isolation”
    • Zhu, R., Huang, G., Yuan, F.-G.
    • In: Structural Health Monitoring/Management (SHM) in Aerospace Structures, 2024, pp. 353–388
    • [Link Disabled]
    • Citations: 0
  • “A Comprehensive Study of Ultrasound-Enhanced Transdermal Drug Delivery via Microneedle Array”
    • Tian, Y., Chen, J., Shen, Y., Huang, G.
    • Proceedings of SPIE – The International Society for Optical Engineering, 2024, 12944, 129440A
    • [Link Disabled]
    • Citations: 0
  • “Equilibrium learning: Inverse design of intelligent mechanical machines for prescribed behavior control”
    • Chen, J., Miao, X., Ma, H., Huang, G.
    • Proceedings of SPIE – The International Society for Optical Engineering, 2024, 12946, 129460D
    • [Link Disabled]
    • Citations: 0
  • “Non-Hermitian wave dynamics of odd plates: Microstructure design and theoretical modelling”
    • Wang, Y., Wu, Q., Tian, Y., Huang, G.
    • Journal of the Mechanics and Physics of Solids, 2024, 182, 105462
    • [Link Disabled]
    • Citations: 1
  • “Modal sensitivity analysis of acoustic metamaterials for structural damage detection”
    • Xu, Y.F., Huang, G.L.
    • International Journal of Mechanical Sciences, 2023, 259, 108571
    • [Link Disabled]
    • Citations:8