Kirill Poletkin | Engineering | Best Research Article Award

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Prof. Kirill Poletkin | Engineering | Best Research Article Award

Hefei University of Technology | China

Professor Kirill V. Poletkin is a distinguished researcher and academic specializing in micro- and nano-scale electromechanical systems, contactless levitation micro-actuators, MEMS inertial sensors, and precision instrumentation. He currently serves as a Professor (Talents Programme) at the School of Instrument Science and Optoelectronics Engineering, Hefei University of Technology, China. Prof. Poletkin earned his Ph.D. in Control Systems, Informatics, and Electrical Engineering from the Moscow Aviation Institute in 2007, where his doctoral research focused on closed-loop rotor vibratory gyroscopes. He obtained his M.Eng. with honors from Nizhny Novgorod State Technical University, with award-winning research in vibration theory and dynamically tuned gyroscopes recognized by the Ministry of Education and Science of the Russian Federation. With over two decades of international research experience, he has held academic and research positions at leading institutions including the Karlsruhe Institute of Technology, University of Freiburg, Nanyang Technological University, Innopolis University, and New Uzbekistan University. He is a former Alexander von Humboldt Research Fellow and has served as Principal Investigator on multiple competitively funded projects supported by the German Research Foundation (DFG) and Chinese provincial agencies. Prof. Poletkin has authored over 86 scientific publications, including 37 peer-reviewed journal articles, book chapters, and a Springer monograph titled Levitation Micro-Systems: Applications to Sensors and Actuators. His pioneering contributions to zero–spring-constant contactless suspensions, hybrid inductive–electrostatic levitation systems, and semi-analytical electromagnetic modeling have enabled new generations of high-precision sensors, actuators, and micro-transport technologies.

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Featured Publications

Tinggui Chen | Engineering | Research Excellence Award

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Dr. Tinggui Chen | Engineering | Research Excellence Award 

Hefei University of Technology | China

Dr. Tinggui Chen is a highly accomplished researcher and academic in the field of mechanical engineering, with a specialized focus on acoustic metamaterials, phononic crystals, and advanced signal detection techniques. He completed his doctoral studies in mechanical engineering under the supervision of Prof. Dejie Yu at Hunan University, after earning both his bachelor’s degree from Hainan University and master’s degree from Hunan University. During his doctoral tenure, he developed innovative methodologies for enhancing acoustic sensing and signal detection using engineered metamaterials, establishing a strong foundation for his research career. Dr. Chen’s work is characterized by its combination of theoretical insight and experimental rigor, particularly in the design and application of gradient metamaterials, coiling-up structures, and space-time-modulated systems. His research has led to significant advancements in weak signal detection, directional acoustic sensing, and energy amplification in phononic systems. Notably, his studies on multi-frequency signal enhancement via gradient defect phononic crystals and space-time-modulated airborne acoustic circulators demonstrate his ability to bridge fundamental physics with practical engineering applications. He has actively contributed to the international scientific community through his extensive publication record, which includes articles in high-impact journals such as Measurement, Physical Review Applied, IEEE Transactions on Industrial Informatics, Mechanical Systems and Signal Processing, Journal of Sound and Vibration, IEEE Sensors Journal, Journal of Physics D: Applied Physics, and Physical Review B. These publications reflect his sustained focus on acoustic metamaterials, phononic crystal resonators, and novel techniques for signal demodulation and amplification, marking him as a leading expert in his domain. Dr. Chen’s research trajectory has also been enriched by international exposure and collaborative experiences. As a visiting scholar at EPFL under Prof. Romain Fleury, he explored cutting-edge experimental demonstrations in acoustic systems, further strengthening his expertise in wave manipulation and signal processing. Currently, as a postdoctoral researcher at Shanghai Jiao Tong University and an assistant professor at Hefei University of Technology, he continues to advance both fundamental and applied research, integrating computational modeling, experimental acoustics, and material design. His contributions have significant implications for industrial monitoring, structural health assessment, and the development of high-precision acoustic devices. With a strong focus on innovation, interdisciplinary collaboration, and practical application, Dr. Chen exemplifies the integration of scientific research and engineering solutions, positioning him as a rising leader in the field of mechanical engineering and acoustic metamaterials.

Profile: Orcid

Featured Publications

Chen, T., Zhu, M., Li, L., Wei, H., & Xia, B. (2026). Multi-frequency weak signals enhancement detection via gradient defect phononic crystals. Measurement, 261, 119933. https://doi.org/10.1016/j.measurement.2025.119933

Chen, T., Malléjac, M., Bi, C., Xia, B., & Fleury, R. (2025). Experimental demonstration of a space-time-modulated airborne acoustic circulator. Physical Review Applied, 23, 054017. https://doi.org/10.1103/PhysRevApplied.23.054017

Chen, T., Xia, B., Yu, D., & Bi, C. (2024). Robust enhanced acoustic sensing via gradient phononic crystals. Physics Letters A, 440, 129242. https://doi.org/10.1016/j.physleta.2023.129242

Chen, T., Wang, C., & Yu, D. (2022). Pressure amplification and directional acoustic sensing based on a gradient metamaterial coupled with space-coiling structure. Mechanical Systems and Signal Processing, 181, 109499. https://doi.org/10.1016/j.ymssp.2022.109499

Chen, T., & Yu, D. (2022). A novel method for enhanced demodulation of bearing fault signals based on acoustic metamaterials. IEEE Transactions on Industrial Informatics, 18(10), 6857–6864. https://doi.org/10.1109/tii.2022.3143161

Chen, T., Jiao, J., & Yu, D. (2022). Strongly coupled phononic crystals resonator with high energy density for acoustic enhancement and directional sensing. Journal of Sound and Vibration, 529, 116911. https://doi.org/10.1016/j.jsv.2022.116911

Size Ai | Engineering | Research Excellence Award

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Mr. Size Ai | Engineering | Research Excellence Award 

Harbin Institute of Technology | China

Dr. Size Ai, currently a PhD researcher at the Harbin Institute of Technology, is an emerging scholar in the field of mechanical metamaterials and advanced structural design. Holding a PhD in Mechanics from Harbin Institute of Technology, Dr. Ai has developed strong expertise in the design, modeling, and steady-state analysis of mechanical metamaterials, focusing particularly on negative stiffness structures, multi-stable metastructures, and pneumatic actuators with tunable mechanical responses. His academic journey reflects a commitment to high-quality research, having published three SCI-indexed papers in top-tier JCR Q1 journals such as Thin-Walled Structures and Engineering Structures. His works include: “Analysis of Negative Stiffness Structures with B-spline Curved Beams” (Thin-Walled Structures, 2024), “Design and Analysis of an Origami-Embedded Multi-Stable Metastructure with Shape Reconfiguration” (Engineering Structures, 2025), and “Deep Learning-Based Structural Design and Mechanical Properties Analysis of Pneumatic Actuators with Tunable Multistability” (Thin-Walled Structures, 2025). These publications highlight Dr. Ai’s ability to integrate theoretical modeling, simulation optimization, deep learning techniques, and experimental validation to solve complex challenges in structural mechanics. He has contributed significantly to ongoing national research through his involvement in the National Natural Science Foundation of China project (Grant No. 12372041), which further demonstrates his active engagement in advancing scientific knowledge. One of Dr. Ai’s major contributions includes developing a configuration parameterization method based on B-spline curves to customize negative stiffness characteristics in metamaterials. Additionally, he proposed a steady-state switching strategy using reconfigurable energy barrier elements, enabling precise control over multi-stability and shape transformation in engineered structures. His work successfully demonstrates, through combined theory, simulations, and experiments, the feasibility of programmable mechanical behavior after forming—an advancement with promising applications in soft robotics, adaptive structures, vibration isolation, and smart materials. Dr. Ai’s research continues to attract academic attention, with citations indexed in the Web of Science database. He maintains a strong ethical commitment to research integrity, with no consultancy projects, patents, or books yet undertaken. While he currently holds no editorial appointments, professional memberships, or formal collaborations, his research trajectory shows excellence, independence, and innovation, positioning him as a competitive candidate for the Research Excellence Award. Dr. Ai affirms that all submitted information is accurate, verifiable, and supported by relevant research links, including: 10.1016/j.tws.2025.114287 and 10.1016/j.tws.2023.111418. He fully agrees to the terms, policies, and responsibilities associated with this award nomination and submits this application with the highest level of integrity.

Profile: Scopus

Featured Publications

Ai, S., Xie, Z., & Wei, J. (2025, November). Deep learning-based structural design and mechanical properties analysis of pneumatic actuators with tunable multistability.

Ai, S., Hou, S., Wei, J., & Xie, Z. (2025, October). Design and analysis of an origami-embedded multi-stable metastructure with shape reconfiguration.

Hou, S., Wei, J., Ai, S., & Tan, H. F. (2025, March). Broadband nonlinear vibration isolation for a friction dynamic system via quasi-zero stiffness isolator.

Bian, S., Ai, S., Wei, J., & Qingxiang, J. (2025, March). Structural design and performance analysis of large inflatable solar membrane reflector.

Ai, S., Wei, J., Xie, Z., & Tan, H. F. (2023, November). Analysis of negative stiffness structures with B-spline curved beams.

Qingguo Ma | Chemical Engineering | Excellence in Innovation Award

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Dr. Qingguo Ma | Chemical Engineering | Excellence in Innovation Award

Taiyuan Institute of Technology | China

Dr. Qingguo Ma, an accomplished Associate Professor at the Taiyuan Institute of Technology, is a distinguished researcher specializing in advanced wastewater treatment, particularly in the catalytic degradation of formaldehyde. With a doctoral degree obtained from the School of Chemical Engineering and Technology at Nanjing University of Science and Technology, Dr. Ma has established a focused research trajectory in the development of innovative and efficient oxidation-based solutions for industrial pollutant removal. His work emphasizes the use of advanced oxidation processes employing oxidants such as hydrogen peroxide and monopersulfate in conjunction with highly efficient catalytic systems, including transition metal oxides and lanthanum-based composite metal oxide catalysts. Through this research, Dr. Ma has successfully achieved remarkable improvements in formaldehyde degradation efficiency, notably demonstrating degradation rates exceeding 90% under ambient conditions without the need for acidic, alkaline, photochemical, or electrocatalytic environments. This breakthrough shortens the oxidative degradation time by up to 12 times compared to conventional heterogeneous catalysts and provides a scalable pathway toward cost-effective and energy-efficient wastewater treatment technologies. Dr. Ma’s academic contributions are supported by a robust research profile, including five completed or ongoing research projects, eleven patents published or under application, and thirteen peer-reviewed publications indexed in SCI databases. His work has attracted growing scholarly attention, reflected in a developing citation index and engagement in two consultancy or industry-linked research initiatives. As a member of the Shanxi Provincial Society for Inspection and Testing, he actively contributes to the advancement of environmental monitoring and chemical engineering practices within the professional community. His research further explores the mechanistic pathways of formaldehyde oxidation, identifying both radical-driven and non-radical catalytic routes, which enhances scientific understanding and offers new design concepts for catalytic materials used in environmental remediation. Dr. Ma continues to expand collaborations and strengthen knowledge transfer through academic platforms, contributing meaningfully to scientific and societal progress in pollution control. With demonstrated excellence, innovation, and commitment to advancing sustainable wastewater treatment technologies, he exemplifies the qualities recognized by the Excellence in Innovation Award. Dr. Ma affirms the authenticity and accuracy of all information included in this application and acknowledges the guidelines and terms set forth for this nomination.

Profiles: Scopus | Orcid

Featured Publications

Ma, Q. (2024). Preparation of perovskite-type LaMnO₃ and its catalytic degradation of formaldehyde in wastewater. Molecules, 29(16). https://doi.org/10.3390/molecules29163822

Ma, Q. (2023). Removal of formaldehyde in water with low concentration of hydrogen peroxide catalyzed by lanthanum–silicon oxide composite. Desalination and Water Treatment, 29734. https://doi.org/10.5004/dwt.2023.29734

Ma, Q. (2023). The Baeyer–Villiger oxidation of cycloketones using hydrogen peroxide as an oxidant. Catalysts, 13(1). https://doi.org/10.3390/catal13010021

Ma, Q. (2022). Removal of formaldehyde from aqueous solution by hydrogen peroxide. Journal of Water Chemistry and Technology, 44(4). https://doi.org/10.3103/S1063455X22040099

Ma, Q. (2021). Enhancing propene selectivity in methanol and/or butene conversion by regulating channel systems over ZSM-5/ZSM-48 composite zeolites. Microporous and Mesoporous Materials, 310. https://doi.org/10.1016/j.micromeso.2020.110803

Ma, Q. (2015). Baeyer–Villiger oxidation of cyclic ketones with hydrogen peroxide catalyzed by silica–VTMO–OSO₃H. Journal of Porous Materials, 22(5). https://doi.org/10.1007/s10934-015-9918-8

Ma, Q. (2015). Silica/A153-SO₃H: An efficient catalyst for the Baeyer–Villiger oxidation of cyclic ketones with hydrogen peroxide. Comptes Rendus Chimie, 18(4). https://doi.org/10.1016/j.crci.2014.09.002

Ma, Q. (2015). Sn-bentonite-induced Baeyer–Villiger oxidation of 2-heptylcyclopentanone to δ-dodecalactone with aqueous hydrogen peroxide. Research on Chemical Intermediates, 41(5). https://doi.org/10.1007/s11164-013-1342-6

Sedighe Mirbolouk | Engineering | Editorial Board Member

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Dr. Sedighe Mirbolouk | Engineering | Editorial Board Member 

Iran National Science Foundation | Iran

Dr. Sedighe Mirbolouk is a dedicated postdoctoral researcher and advanced machine learning specialist with strong expertise in communication systems, data science, and artificial intelligence. She is affiliated with the Iran National Science Foundation and has built a diverse research portfolio spanning deep learning, wireless communication optimization, image processing, and intelligent sensing systems. Her technical proficiency covers a wide spectrum of tools and programming environments, including Python, MATLAB, LATEX, and advanced libraries such as TensorFlow, PyTorch, Scikit-learn, NumPy, SciPy, Pandas, and Matplotlib. With a strong theoretical foundation in data telecommunication networks, convex optimization, communication theory, and signal and image processing, she integrates computational intelligence with modern communication challenges. In her role as a Postdoctoral Researcher (2024–2025) at the Iran National Science Foundation, Dr. Mirbolouk focuses on cutting-edge topics in graph learning and federated learning, particularly designing machine learning approaches for predictive beamforming in Reconfigurable Intelligent Surface (RIS)-aided Integrated Sensing and Communication (ISAC) systems. Her work aims to improve efficiency, adaptability, and intelligence in next-generation wireless communication networks. Previously, she served as a Visiting Researcher (2022) at the University of Oulu in Finland, where she explored advanced deep reinforcement learning methods to enhance ISAC designs. These research experiences have positioned her at the frontier of combining AI with communication technologies. During her doctoral studies at the University of Urmia (2018–2021), Dr. Mirbolouk contributed significantly to satellite–UAV cooperative network optimization. She developed innovative solutions involving UAV selection and power allocation for CoMP-NOMA transmissions, introducing both Lagrangian and heuristic algorithms that advanced energy-efficient communication frameworks. Alongside communications research, she proposed image processing solutions such as fuzzy histogram weighting methods and contrast enhancement techniques. Her academic involvement includes teaching core engineering subjects—Digital Communication, Probability and Statistics, and Signals and Systems—and assisting courses on Stochastic Processes and Digital Signal Processing. Her work at the National Elite Foundation (2020–2022) expanded her portfolio into biomedical machine learning applications, where she designed systems for automatic breast cancer detection using histopathology images and cardiac arrhythmia recognition using ECG signals through deep learning approaches. Dr. Mirbolouk holds a Ph.D. in Electrical Engineering, with earlier B.Sc. and M.Sc. degrees from the University of Guilan, where she studied SAR radar Doppler ambiguity for moving targets. Her scholarly contributions include high-impact publications in journals such as IEEE Transactions on Vehicular Technology, Physical Communication, and Multimedia Tools and Applications. Collectively, her research reflects an outstanding integration of machine learning, optimization, sensing, and communication technologies.

Profile: Google Scholar

Featured Publications

Mirbolouk, S., Valizadeh, M., Amirani, M. C., & Ali, S. (2022). Relay selection and power allocation for energy efficiency maximization in hybrid satellite-UAV networks with CoMP-NOMA transmission. IEEE Transactions on Vehicular Technology, 71(5), 5087–5100.

Mirbolouk, S., Valizadeh, M., Amirani, M. C., & Choukali, M. A. (2021). A fuzzy histogram weighting method for efficient image contrast enhancement. Multimedia Tools and Applications, 80(2), 2221–2241.

Mirbolouk, S., Choukali, M. A., Valizadeh, M., & Amirani, M. C. (2020). Relay selection for CoMP-NOMA transmission in satellite and UAV cooperative networks. 2020 28th Iranian Conference on Electrical Engineering (ICEE), 1–5.

Choukali, M. A., Valizadeh, M., Amirani, M. C., & Mirbolouk, S. (2023). A desired histogram estimation accompanied with an exact histogram matching method for image contrast enhancement. Multimedia Tools and Applications, 82(18), 28345–28365.

Hussein, A. A., Valizadeh, M., Amirani, M. C., & Mirbolouk, S. (2025). Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework. Scientific Reports, 15(1), 25071.

Choukali, M. A., Mirbolouk, S., Valizadeh, M., & Amirani, M. C. (2024). Deep contextual bandits-based energy-efficient beamforming for integrated sensing and communication. Physical Communication, 68, 102576.

Dayeong An | Engineering | Women Researcher Award | 13446

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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

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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

zeyad A. H. Qasem | Engineering | Best Researcher Award | 13382

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Dr. zeyad A. H. Qasem | Engineering | Best Researcher Award

Dr. zeyad A. H. Qasem, Donghai Laboratory, Zhejiang University, China

Dr. Zeyad Abdulaziz Hazaea Qasem is a dedicated postdoctoral researcher at Donghai Laboratory, Zhejiang University, China, with a strong background in communication and information engineering. Born in Taiz, Yemen, he holds a Ph.D. from Xiamen University and has conducted advanced research at top Chinese institutions like Peking University and Tsinghua University. With extensive academic and industrial experience—including work with Huawei and several universities—Dr. Qasem’s research spans nano-devices, telecommunications, and digital systems. He is a recipient of the Best Overseas Research Award from Xiamen University and is widely recognized for his innovative contributions to engineering and communication technologies.

Profile

Google Scholar

🌱 Early Academic Pursuits

Dr. Zeyad Abdulaziz Hazaea Qasem’s academic journey began in Taiz, Yemen, where he completed his high secondary education at Al Hurria High School in 2005. From a young age, Dr. Qasem exhibited a strong passion for science and technology, particularly in the field of telecommunications and networking. This passion led him to pursue a Bachelor’s degree in Communication Networking from Djillali Liabés University in Sidi Bel Abbès, Algeria, which he completed in 2010.

Not resting on his laurels, he immediately advanced his education by enrolling in a Master’s program at the same university, specializing in Digital Systems of Telecommunications. He completed his Master’s degree in 2012, further honing his skills in the increasingly vital field of communication engineering.

Driven by a desire for research excellence, Dr. Qasem moved to China in 2017, where he embarked on a Ph.D. in Communication and Information Engineering at Xiamen University. His academic perseverance culminated in a doctoral degree in 2021, during which he laid the foundation for impactful scientific research in communication technologies.

🧑‍💼 Professional Endeavors

Dr. Qasem’s career reflects a rare blend of academic knowledge and practical industry experience. Before his postdoctoral research positions, he held multiple key roles in the telecommunications sector, notably with Huawei Company in Yemen from 2014 to 2017, where he worked as a Core Network Engineer for GSM, CDMA, and LTE technologies. His tenure at Huawei equipped him with invaluable practical insights and earned him the Outstanding Technical Engineer Award in 2016.

Dr. Qasem also contributed to academia as a part-time lecturer at several Yemeni universities, including International Emirate University and LIMKOKWING University of Creative Technology. These roles showcased his commitment to mentoring the next generation of engineers even while pursuing a parallel career in industry.

Since 2022, he has served as a Postdoctoral Research Fellow at Peking University and a Visiting Scholar at the Tsinghua-Berkeley Shenzhen Institute—two of China’s most prestigious institutions. In 2023, he joined the Donghai Laboratory at Zhejiang University, where he currently works on cutting-edge research in nano-devices and communication systems.

🔬 Contributions and Research Focus

Dr. Qasem’s research lies at the intersection of nanotechnology, digital communication systems, and network engineering. His contributions include exploring novel solutions for efficient data transmission, next-generation wireless communication, and nano-device integration.

His doctoral and postdoctoral research focuses on enhancing communication infrastructure and developing futuristic nano-scale technologies for more resilient and efficient systems. His work supports the global demand for faster, more secure, and more intelligent communication systems, making a significant contribution to the digital transformation age.

🏆 Accolades and Recognition

Over the years, Dr. Qasem has been widely recognized for his contributions in both academia and industry. Among his most notable achievements are:

  • 🥇 Best Overseas Research Award (2021) from Xiamen University

  • 🏅 Outstanding Technical Engineer from Huawei (2016)

  • 🎓 Multiple professional certifications, including:

    • Cisco Certified Network Associate (CCNA)

    • Computer Maintenance Diploma (EMICOM Institute, Algeria)

    • Huawei “Train the Trainer” Certification

    • Training in FLUKE NETWORKS (USA)

These accolades not only validate his academic and technical excellence but also highlight his global exposure and adaptability.

🌍 Impact and Influence

Dr. Qasem’s work has left a noticeable footprint on both national and international research platforms. His Google Scholar profile showcases a growing list of publications and citations, reflecting the relevance and application of his research across global scientific communities.

His teaching roles have influenced students in Yemen and China, bridging cultural and academic gaps and promoting the advancement of science and technology in developing nations. As a researcher, he is building technological solutions that promise to revolutionize communication infrastructure, particularly in areas with growing data demands.

🌟 Legacy and Future Contributions

Looking ahead, Dr. Qasem is well-positioned to become a leading global voice in communication and nano-device research. His interdisciplinary approach, combining engineering principles with real-world applications, makes him a valuable asset to the international scientific community.

He aims to expand collaborative research, enhance telecommunication infrastructure for underdeveloped regions, and contribute to the green transition of digital technologies. His current role at Donghai Laboratory opens the door to transformative innovations that could define the next decade of smart connectivity.

Dr. Qasem’s legacy is still in the making, but his vision, determination, and accomplishments already make him a suitable candidate for prestigious research honors, including the Best Researcher Award.

Underwater image transmission using spatial modulation unequal error protection for internet of underwater things

Author: H Esmaiel, ZAH Qasem, H Sun, J Wang, NU Rehman Junejo
Journal: Sensors
Year: 2019

Multi-stage feature extraction and classification for ship-radiated noise

Author: H Esmaiel, D Xie, ZAH Qasem, H Sun, J Qi, J Wang
Journal: Sensors
Year: 2021

Pingqing Fan | Precision actuating | Best Researcher Award

Published on by Research Awards

Prof Dr. Pingqing Fan | Precision actuating | Best Researcher Award

Prof Dr. Pingqing Fan, Shanghai University of Engineering Science, China

“Prof. Dr. Pingqing Fan is a renowned expert in the field of materials science and engineering. Currently serving as a professor at Shanghai University of Engineering Science, China, Dr. Fan has made significant contributions to the development of advanced materials and technologies. His research focuses on the design, synthesis, and characterization of functional materials, with applications in energy storage, conversion, and environmental sustainability.”

Profile

Orcid

Educational Qualification📚

Pingqing Fan’s academic journey is marked by her dedication to excellence and a focus on engineering innovation. She earned her Ph.D. from Shanghai University, where she cultivated her expertise in mechanical and automotive engineering. Her early studies laid a solid foundation in piezoelectric drive theory and bionic robotics, areas that have become central to her career.

Pingqing’s passion for research blossomed during her doctoral studies, where she began to explore the complexities of precision actuating and bionic systems. Her academic foundation has not only driven her own research but also inspired her teaching, making her a respected figure in academia.

Professional Endeavors 💼

Currently a professor and research supervisor at the School of Mechanical and Automotive Engineering at Shanghai University of Engineering Science, Pingqing Fan has dedicated her career to both teaching and groundbreaking research. She is also actively involved in consultancy projects and collaborations with industrial giants like the Western Institute of Computing Technology and CATARC Automotive Test Center.

Her professional roles extend beyond academia to influential positions in professional societies. As a senior member of the China Society of Automotive Engineers and a committee member of its Off-Road Vehicle Technology Branch, she contributes to shaping the future of automotive engineering in China.

Contributions and Research Focus 🔬

Key Research Areas:

  • Piezoelectric Drive Theory: Pingqing has advanced the understanding of high-energy density piezoelectric actuators, paving the way for innovations in precision motion systems.
  • Bionic Robotics: Her research in biomimicry has led to the development of robotics inspired by natural forms, blending engineering precision with biological ingenuity.
  • Precision Actuating Systems: Her work in precision actuators ensures enhanced performance in various industrial applications.

Major Contributions:

Pingqing Fan has spearheaded over 16 consultancy and industry projects, emphasizing the practical application of her research. Her innovative platform for developing electronic water pump controllers for vehicles highlights her commitment to sustainable and efficient automotive solutions.

With 21 published journal articles in esteemed platforms like SCI and Scopus, her work has received widespread recognition, with 465 citations showcasing its impact on the global academic community. Furthermore, she has filed 12 patents, reflecting her ability to translate theoretical knowledge into practical inventions.

Accolades and Recognition 🏆

Pingqing’s achievements have earned her a distinguished reputation in both academia and industry. Her leadership in projects funded by the Shanghai Natural Science Foundation and the Shanghai Automobile Industry Development Fund underscores the value of her contributions.

Her book, identified by ISBN 9787302356035, serves as a vital resource for students and professionals, further cementing her status as a thought leader. As an Academic Bridge Evaluation Expert, she has shaped evaluation criteria that influence academic and industrial practices.

Publication Top Notes 📄

A resonant quadruped piezoelectric robot inspired by human butterfly swimming patterns

Contributors: Jiateng Shi; Pingqing Fan; Jie Liu
Journal: Ultrasonics
Year: 2025

Research on robot path planning by integrating state-based decision-making A* algorithm and inertial dynamic window approach

Contributors: Shun Xing; Pingqing Fan; Xipei Ma; Yansong Wang
Journal: Intelligent Service Robotics
Year: 2024

A novel high energy density single-phase linear piezoelectric motor: design and experiment

Contributors:  佳腾 石; Pingqing Fan; Yansong Wang; Xipei Ma; Jianpeng Zhou
Journal: Ferroelectrics
Year: 2024

A miniature longitudinal-bending hybrid linear ultrasonic motor inspired by the planar hinged five bar mechanism

Contributors: WeiPeng Bi; Pingqing Fan; Yansong Wang; Xipei Ma; Jianpeng Zhou
Journal: Review of Scientific Instruments
Year: 2023

A novel thin single-phase drive linear ultrasonic motor

Contributors: Yangyang Ge; Xipei Ma; Pingqing Fan; Hu; Tao Yuan; Yansong Wang
Journal: Review of Scientific Instruments
Year: 2023