Ning Chen | Engineering | Best Researcher Award | 13558

Published on by Research Awards

Mr. Ning Chen | Engineering | Best Researcher Award

Mr. Ning Chen, Shandong University of Science and Technology, China

Mr. Ning Chen, Lecturer at Shandong University of Science and Technology, China, is an emerging researcher in high-precision mechatronic systems. With a Ph.D. in mechanical engineering and prior industry experience, he has developed innovative piezoelectric galvanometers, stiffness-adjustable servo systems, and micro-nano motion platforms. His work is shaping the future of laser positioning, scanning, and ultra-precision control technologies. Backed by prestigious national and provincial research grants, Mr. Chen exemplifies academic excellence and practical innovation in mechanical and precision engineering.

Author Profile

Orcid

Education

Dr. Weijian Wang embarked on his academic journey with a solid foundation in chemical sciences. He earned his Bachelor’s degree in Chemical Engineering and Technology from the China University of Petroleum (East China)—an institution known for producing talent in energy and chemical sectors. His academic excellence and growing passion for applied chemical research led him to pursue a Master’s degree in Chemical Engineering at the China University of Mining and Technology, where he deepened his understanding of reaction engineering, process modeling, and advanced materials.

Eager to contribute to cutting-edge innovation in the energy sector, Dr. Wang pursued his Ph.D. in Chemical Technology at the Research Institute of Petroleum Processing (RIPP), Sinopec, one of China’s leading industrial research institutions. His doctoral training provided him with hands-on experience in industrial-scale research, advanced materials development, and interdisciplinary collaboration. To further strengthen his academic and research profile, Dr. Wang completed a postdoctoral fellowship at Zhejiang University, where he explored emerging materials and device applications, preparing him for a career at the intersection of academia and applied science.

Experience

In 2022, Dr. Wang joined Beibu Gulf University as an Associate Professor, where he has since led a promising research group focusing on halide perovskite materials. As a faculty member, he has embraced both teaching and research, mentoring students while pursuing innovative solutions to modern energy and optoelectronic challenges.

One of his key professional milestones includes leading the Guangxi Science and Technology Major Program (GuikeAA23062016). This ambitious research initiative demonstrates his leadership and technical capability in managing multi-disciplinary projects aligned with regional and national scientific goals. With no industry consultancies yet, Dr. Wang remains fully invested in academic research, pushing boundaries in materials science through both simulations and experimental designs.

Research Focus

Dr. Weijian Wang’s research is centered on the green synthesis and application of halide perovskite materials, a rapidly evolving class of compounds celebrated for their extraordinary optoelectronic properties. These materials are particularly promising in fields such as solar energy conversion, light-emitting diodes (LEDs), and medical bioimaging. At the heart of Dr. Wang’s innovation is the drive for sustainability. He has developed eco-friendly synthesis techniques that minimize environmental harm while maintaining material performance, advancing the goal of sustainable science. 🌱

In the field of perovskite solar cells, Dr. Wang employs simulation-assisted design methodologies to enhance energy conversion efficiency. His designs have led to devices with superior performance characteristics, addressing one of the key challenges in renewable energy technology. 🌞 Beyond energy, his research also extends to optoelectronic devices, including perovskite-based LEDs and imaging systems with applications in healthcare diagnostics and bioimaging. 💡

Dr. Wang’s robust scientific output includes 11 peer-reviewed publications in internationally recognized SCI-indexed journals, with eight authored as first or corresponding author. Additionally, he has secured 15 authorized invention patents as the primary inventor, underscoring his capacity to translate theoretical research into tangible technological innovations.

Award and Recognition

Despite being in the early stages of his academic journey, Dr. Wang has already built a strong research profile distinguished by originality, technical rigor, and innovation. His contributions have earned him 11 published articles in high-impact SCI-indexed journals, demonstrating both quality and consistency in scientific communication. 📚

Dr. Wang also holds 15 authorized invention patents, a notable achievement that reflects his focus on applied research and technology transfer. 🧾 These patents not only reinforce his expertise in halide perovskite materials but also highlight his dedication to practical solutions for global energy and environmental challenges.

Further elevating his academic standing, Dr. Wang currently leads a major government-funded research program, indicating trust in his leadership and vision at the national level. 💼 His H-index of 5 signifies an increasing impact within the scholarly community, with a trajectory that suggests sustained and growing influence in the years to come.

Although he does not yet hold editorial roles or memberships in professional societies, his impressive publication and patent record mark him as a promising figure in materials science. His career is on a path toward broader recognition, leadership roles, and continued contributions to the scientific community.

Publications

📖 A Semi-analytical Method for Vibro-Acoustic Properties of Functionally Graded Porous Piezoelectric Annular Plates with Cavity – Journal of Vibration Engineering and Technologies (2025).
📖 Enhancing the motion performance of 3-DOF micro/nano-manipulators facing thermo-piezoelectric-mechanical coupling effects – Sensors and Actuators A Physical (2025)
📖 Robust control of uncertain asymmetric hysteretic nonlinear systems with adaptive neural network disturbance observer – Applied Soft Computing (2024)
📖 Low thermal budget lead zirconate titanate thick films integrated on Si for piezo-MEMS applications – Microelectronic Engineering (2020)

 

 

 

Dayeong An | Engineering | Women Researcher Award | 13446

Published on by Research Awards

Dr. Dayeong An | Engineering | Women Researcher Award

Dr. Dayeong An, Medical College of Wisconsin, United States

Dr. Dana (Dayeong) An is a Postdoctoral Fellow in the Department of Radiology at Northwestern University with a strong interdisciplinary background in biomedical engineering, computational sciences, and statistics. Her research focuses on machine learning and probabilistic modeling for multimodal biomedical data integration, particularly in neurovascular and cardiac imaging. She has developed advanced AI frameworks for stroke outcome prediction, perfusion analysis, and cardiac strain estimation. With multiple peer-reviewed publications and awards, Dr. An brings expertise in deep learning, medical image processing, and translational AI for precision medicine.

Profile

ORCID

🎓 Early Academic Pursuits

Dr. Dana (Dayeong) An’s academic journey is rooted in a solid foundation of mathematics, statistics, and computational sciences. She began her higher education at Minnesota State University, earning a B.S. in Mathematics with a minor in Economics in 2012. Her strong mathematical background laid the groundwork for advanced study, leading her to pursue dual M.S. degrees in Mathematics and Statistics (2014) and Computational Sciences (2018). These degrees reflect a growing interest in data analysis, modeling, and algorithmic thinking—skills that would become central to her future research. Her academic path culminated in a Ph.D. in Biomedical Engineering from the Medical College of Wisconsin in 2024. During her doctoral training, Dr. An fused her analytical skills with biomedical applications, working at the intersection of medical imaging and machine learning. Her education reflects a rare combination of quantitative rigor and domain-specific insight, enabling her to tackle complex problems in healthcare and precision medicine.

🧠 Professional Endeavors

Dr. An currently serves as a Postdoctoral Fellow in the Department of Radiology at Northwestern University, where she applies advanced machine learning techniques to neurovascular and cardiac imaging data. Her professional roles have spanned research, teaching, and clinical applications. At the Medical College of Wisconsin, she worked as a Research Assistant, refining deep learning algorithms for myocardial strain analysis, MRI-based diagnostics, and experimental studies on cardiotoxicity in animal models. Earlier in her career, she served as an Adjunct Professor and Teaching Assistant at multiple institutions, including Marquette University, Globe University, and South Central College, where she taught a variety of math and statistics courses. This teaching experience showcases her commitment to education and her ability to communicate complex topics to diverse audiences.

🧪 Contributions and Research Focus

Dr. An’s research is centered on machine learning and probabilistic modeling for multimodal biomedical data integration. Her contributions span multiple domains:

  • Neurovascular Imaging: She has developed frameworks using Bayesian priors and transformer models to estimate physiological parameters from perfusion MRI data. She also works with large-scale databases such as NVQI-QOD to predict stroke outcomes and recurrence risks in intracranial atherosclerotic disease (ICAD).

  • Cardiac MRI and Strain Analysis: Dr. An fine-tuned U-Net and GAN architectures to automate strain generation and displacement field analysis from cine MRI images. These tools enhance early detection of cardiotoxicity and improve diagnostic accuracy.

  • Image Processing and Simulation: She built deep learning-based deformable registration tools to reduce motion artifacts in angiography and improve vascular fidelity. Additionally, she contributed to differentiable projection modeling for fluoroscopic pose estimation.

  • Translational AI: Her work aims to bridge the gap between algorithm development and clinical implementation, with models designed for real-time, patient-specific analysis.

Her research is not only technical but also translational, addressing real-world challenges in healthcare delivery and diagnostics.

🏆 Accolades and Recognition

Dr. An has received numerous honors for her research excellence and academic contributions:

  • Poster Competition Winner at Marquette University and the Medical College of Wisconsin.

  • Scholarship and Travel Grants from prestigious societies such as the Global Cardio Oncology Summit, ISMRM, and Marquette University.

  • Kayoko Ishizuka Award and Graduate Student Association Awards at MCW.

  • Recognition for conference presentations at RSNA, ISMRM, SCMR, and ASNR.

Her work has been published in well-regarded journals including Radiology and Oncology, Journal of Imaging Informatics in Medicine, and Tomography, reflecting her influence across multiple disciplines.

🌍 Impact and Influence

Dr. An’s interdisciplinary expertise positions her as a valuable contributor to both the academic and clinical communities. Her collaborations with leading institutions such as Cleveland Clinic and Purdue University demonstrate the broader impact of her research. Whether improving stroke outcome prediction or refining cardiac diagnostics, her contributions are making real-world differences in how clinicians approach patient care. She is also actively involved in professional societies like RSNA, ISMRM, IEEE, and the American Statistical Association, fostering knowledge exchange and staying at the forefront of innovation.

🌱 Legacy and Future Contributions

Looking ahead, Dr. An aspires to expand her impact by continuing to develop explainable, reliable, and patient-specific AI tools for medical imaging. Her future work will likely delve deeper into probabilistic deep learning, longitudinal outcome modeling, and integrated diagnostics using multi-modal data sources such as imaging, genomics, and electronic health records. She is poised to be a leader in translational AI, driving innovations that not only push the boundaries of computational medicine but also enhance patient outcomes and healthcare efficiency.

🔗 Final Thoughts

Dr. Dana (Dayeong) An exemplifies a new generation of biomedical engineers—fluent in mathematics, passionate about clinical impact, and committed to advancing the future of precision medicine through data-driven innovation. Her legacy is being built at the nexus of technology, healthcare, and humanity.

📄 Publication Top Notes

Radiation-Induced Cardiotoxicity in Hypertensive Salt-Sensitive Rats: A Feasibility Study

Author: Dayeong An; Alison Kriegel; Suresh Kumar; Heather Himburg; Brian Fish; Slade Klawikowski; Daniel Rowe; Marek Lenarczyk; John Baker; El-Sayed Ibrahim

Journal: Life

Year: 2025

Elucidating Early Radiation-Induced Cardiotoxicity Markers in Preclinical Genetic Models Through Advanced Machine Learning and Cardiac MRI

Author: Dayeong An; El-Sayed Ibrahim

Journal: Journal of Imaging

Year: 2024

Jun Liu | Engineering | Best Researcher Award | 13444

Published on by Research Awards

Assoc. Prof. Dr. Jun Liu | Engineering | Best Researcher Award

Assoc. Prof. Dr. Jun Liu, North China University of Water Resources and Electric Power, China

Assoc. Prof. Dr. Jun Liu is an Assistant Professor and Master’s Supervisor in the Department of Thermal Engineering at North China University of Water Resources and Electric Power. He holds a Ph.D. in Engineering Thermophysics from Zhejiang University and specializes in CO₂ capture and utilization, solid waste treatment, multiphase flow and combustion simulation, and pollutant removal technologies. Dr. Liu has led multiple provincial-level research projects and published extensively in SCI and EI-indexed journals. His teaching focuses on boiler principles, operations, and clean combustion technologies.

Profile

Scopus

🎓 Early Academic Pursuits

Assoc. Prof. Dr. Jun Liu began his academic journey with a solid foundation in engineering and technology. In 2005, he enrolled at Shanxi University, where he pursued a Bachelor’s degree in Automation under the Department of Information Engineering. This initial exposure to systems control and engineering principles cultivated his interest in energy systems and laid the groundwork for his future endeavors in thermal engineering and environmental research. In 2009, he took a decisive step toward specializing in energy technologies by pursuing a Master’s degree in Fluid Machinery and Engineering at the School of Electric Power, North China University of Water Resources and Electric Power. Here, he honed his understanding of energy conversion systems, power plant operations, and machinery critical to thermal power generation. His passion for research and academic excellence led him to earn a Ph.D. in Engineering Thermophysics at the prestigious Zhejiang University from 2012 to 2016. This phase of his education sharpened his expertise in combustion processes, thermodynamic systems, and pollutant control, which later became key pillars of his professional and research identity.

💼 Professional Endeavors

Following the completion of his doctorate, Dr. Liu began his professional career at the Xi’an Thermal Power Research Institute Co., Ltd., Suzhou Branch in 2016. In this applied research environment, he gained hands-on experience in industrial-scale power systems and thermal processes, translating academic knowledge into practical solutions. In April 2019, Dr. Liu returned to academia, joining the College of Energy and Power Engineering at the North China University of Water Resources and Electric Power as an Assistant Professor and Master’s Supervisor. His return marked a blend of academic vigor and industrial insight, enriching the university’s teaching and research capabilities.

🔬 Contributions and Research Focus

Dr. Liu’s research spans several crucial areas within energy and environmental engineering:

  1. CO₂ Capture and Resource Utilization – He leads studies on innovative adsorbent materials and absorption technologies aimed at mitigating greenhouse gas emissions.

  2. Solid Waste Treatment – His work on incinerator systems and waste-to-energy solutions contributes to sustainable waste management practices.

  3. Multiphase Flow and Combustion Simulation – By modeling combustion processes, he aims to optimize energy efficiency and reduce emissions.

  4. Pollutant Removal – His research explores integrated technologies for removing NOx, SOx, and other harmful emissions from combustion systems.

He has presided over several key provincial research projects, including studies on CO₂ adsorption kinetics, microencapsulated absorbents, and waste heat boiler performance. His work reflects a deep commitment

🏅 Accolades and Recognition

to both scientific innovation and environmental sustainability.

Dr. Liu’s contributions have been recognized with several prestigious awards:

  • 🥇 First Prize, Boiler Science and Technology Award (2023), for his contributions to power generation technology for large mechanical grates.

  • 🥈 Second Prize, Henan Provincial Science and Technology Progress Award (2022), for his role in developing low-temperature waste heat recovery systems.

  • 🏆 First Prize, Excellent Scientific and Technological Paper Award by the Henan Province Office of Education (2021).

These accolades underscore his impactful research and its relevance to both academia and industry.

🌍 Impact and Influence

Dr. Liu has authored multiple peer-reviewed papers in SCI and EI indexed journals, reflecting the scientific merit and practical application of his research. His publication in Waste Management on flue gas recirculation and NOx emission control is especially noteworthy in the context of sustainable waste-to-energy practices. Moreover, his work influences not only fellow researchers but also policymakers and industry professionals seeking advanced environmental solutions. As a committed educator, he imparts knowledge through courses like Boiler Principle, Boiler Operation, and Clean Combustion and Pollutant Control. His teaching integrates the latest research findings, ensuring that students are prepared for real-world energy challenges.

🌱 Legacy and Future Contributions

Looking ahead, Dr. Liu is poised to continue making substantial contributions to the fields of clean energy and environmental protection. His interdisciplinary approach, combining engineering thermophysics, environmental science, and applied technology, equips him to tackle emerging challenges such as carbon neutrality, smart power systems, and circular economy strategies for waste management. He is also likely to mentor the next generation of researchers, fostering innovation through student supervision, collaborative projects, and academic outreach. As climate concerns and energy demands rise globally, Dr. Liu’s expertise will remain critical in shaping sustainable technological pathways for the future.

📄 Publication Top Notes

Research Progress on the Occurrence Characteristics of AAEM Elements in Zhundong Coal

Author: W., Wang, Wei, X., Guo, Xinwei, X., Wu, Xiaojiang, … C., Fan, Cunjiang, L., Zhuo, Lanting

Journal: Dongli Gongcheng Xuebao /Journal of Chinese Society of Power Engineering

Year: 2025

The effect of air distribution on the characteristics of waste combustion and NO generation in a grate incinerator

Author:  J., Liu, Jun, Z., Xie, Zheng, B., Guo, Bingyu, … L., Bai, Li, J., Long, Jisheng

Journal: Journal of the Energy Institute .,

Year: 2024