Category: Biography

Rim Werheni Ammeri | Agricultural and Biological Sciences | Editorial Board Member

Published on by WSA Awards

Assist Prof Dr. Rim Werheni Ammeri | Agricultural and Biological Sciences | Editorial Board Member

Bone Marrow Transplant Center | Tunisia

Assist. Prof. Dr. Rim Werheni Ammeri is a specialist in soil and wastewater microbiology, with a research focus on bioremediation of polluted environments, particularly those contaminated with organochlorine pesticides. She holds a Ph.D. in Biological Sciences (2017) from the Faculty of Sciences of Tunis, conducted at the Laboratory of Treatment and Valorization of Water Discharges (LTVRH) and the Water Research and Technology Center (CERTE), Tunisia. Her academic formation is complemented by advanced training in molecular biology, microbial ecology, environmental biotechnology, and analytical techniques such as HPLC, phylogeny, sequencing, and proteomics. Dr. Werheni’s research investigates the microbial, biochemical, molecular, and physicochemical dynamics of contaminated soils and wastewater, with special emphasis on microbial community diversity and the effects of environmental stressors on bacteria and fungi. Her work integrates bioaugmentation, biostimulation, phytoremediation, and adsorption processes to develop innovative solutions for pollutant removal. She has significantly contributed to understanding the long- and short-term impacts of treated wastewater reuse in agriculture, particularly in arid regions, through detailed physico-chemical, microbiological, and molecular assessments. She has held key research positions, including a Postdoctoral Fellowship at the Arid Lands Institute (Mednine, Tunisia) within the MEDISS project and scientific involvement in the internationally collaborative PEER program with the University of Texas. Her international exposure includes a research internship at the Soil Proteomics Laboratory in Naples, Italy, focused on bioremediation strategies for pesticide-contaminated forest soils. Dr. Werheni has authored more than 30 scientific publications in high-impact international journals such as Applied Soil Ecology, International Journal of Phytoremediation, Archives of Microbiology, and International Journal of Environmental Health Research. Her work is widely cited within the fields of environmental microbiology, bioremediation, and wastewater research, contributing to sustainable agricultural practices, environmental protection policies, and improved public health.

Profile: ORCID

Featured Publications

1. Werheni, R., Badi, S., Eturki, S., Ouesleti, M., Sadfi-Zouaoui, N., Benabderrahim, M. A., Hachicha, M., & Hassen, A. (2025). Phosphorus biostimulation and phytoremediation in wastewater treatment used for alfalfa plant irrigation. Water Reuse.

2. Werheni Ammeri, R., Hidri, Y., Ouesleti, M., Eturki, S., Sadfi-Zouaoui, N., & Hassen, A. (2025). Impact of phosphorus biofertilization on arid Tunisian soils irrigated with treated wastewater. Journal of Soil Science and Plant Nutrition.

3. Sallami, I., Werheni Ammeri, R., Turki-Ghodbane, Y., & Hassan, A. (2024). Application of a cocktail of three bacteriophages for the biocontrol of Salmonella in raw fresh milk. Preprint.

4. Werheni Ammeri, R., Eturki, S., Di Rauso Simeone, G., Ben Moussa, K., Hassen, W., Moussa, M., & Hassen, A. (2023). Effectiveness of combined tools: Adsorption, bioaugmentation and phytoremediation for pesticides removal from wastewater. International Journal of Phytoremediation, 25(??).

5. Werheni Ammeri, R., Kouki, S., Hassen, W., Oueslati, M., Sadfi-Zouaoui, N., & Hassen, A. (2023). Bioaugmentation and phytoremediation wastewater treatment process as a viable alternative for pesticides removal: Case of pentachlorophenol. Journal of Environmental Health Science and Engineering.

S M Nahian Al Sunny | Computer Science | Editorial Board Member

Published on by WSA Awards

Dr. S M Nahian Al Sunny | Computer Science | Editorial Board Member

Walmart Global Tech | United States

Dr. S. M. Nahian Al Sunny is an accomplished researcher and software engineering professional with extensive experience in data-driven cloud applications, next-generation cyber-physical systems, and large-scale data engineering. With over two years of industry experience and five years of research-focused development, he combines academic rigor with practical innovation to address complex, real-world problems through scalable and intelligent technological solutions. He holds a Ph.D. in Computer Engineering from the University of Arkansas, USA, and a Bachelor’s degree in Electrical and Electronics Engineering from the Bangladesh University of Engineering and Technology. Dr. Sunny’s expertise spans Python, Java, R, advanced data engineering, distributed computing, big data analytics, machine learning pipelines, and cloud platforms including Google Cloud Platform, AWS, and Snowflake. His professional career at Walmart Global Tech involves architecting high-performance Spark/PySpark applications, forecasting systems, anomaly detection frameworks, and ETL pipelines that support decision-making at national scale. His contributions include developing predictive models with accuracies exceeding 90%, engineering multi-variate machine learning pipelines for more than 20,000 retail items, and designing cost-optimization strategies that produced substantial yearly savings in cloud resource utilization. In academia, Dr. Sunny pioneered research in cloud-based cyber-physical manufacturing systems, contributing to the development of MTComm—an Internet-scale communication method for remote machine tool interoperability. His work on IoT-integrated grocery delivery systems, smart edge hubs, and latency-optimized communication architectures demonstrates a strong commitment to advancing Industry 4.0 technologies. Dr. Sunny has published 12 peer-reviewed documents, including 3 journal articles and 9 conference papers, accumulating 487+ citations and an h-index of 8, reflecting the impact and visibility of his research. He has collaborated with interdisciplinary teams across cloud computing, manufacturing automation, robotics, and embedded systems, contributing to systems that hold both industrial and societal relevance. His ongoing work continues to bridge intelligent automation, data engineering, and cloud ecosystems to create future-ready technological solutions.

Profiles: Scopus | Google Scholar

Featured Publications

Hu, L., Nguyen, N. T., Tao, W., Leu, M. C., Liu, X. F., Shahriar, M. R., & Al Sunny, S. M. N. (2018). Modeling of cloud-based digital twins for smart manufacturing with MT Connect. Procedia Manufacturing, 26, 1193–1203.

Liu, X. F., Shahriar, M. R., Al Sunny, S. M. N., Leu, M. C., & Hu, L. (2017). Cyber-physical manufacturing cloud: Architecture, virtualization, communication, and testbed. Journal of Manufacturing Systems, 43, 352–364.

Shahriar, M. R., Al Sunny, S. M. N., Liu, X., Leu, M. C., Hu, L., & Nguyen, N. T. (2018). MTComm-based virtualization and integration of physical machine operations with digital twins in cyber-physical manufacturing cloud. In 2018 5th IEEE International Conference on Cyber Security and Cloud Computing.

Sunny, S. M. N. A., Liu, X. F., & Shahriar, M. R. (2018). Communication method for manufacturing services in a cyber–physical manufacturing cloud. International Journal of Computer Integrated Manufacturing, 31(7), 636–652.

Liu, X. F., Sunny, S. M. N. A., Shahriar, M. R., Leu, M. C., Cheng, M., & Hu, L. (2016). Implementation of MTConnect for open-source 3D printers in cyber physical manufacturing cloud. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference.

Ying Mei | Radiology | Best Researcher Award

Published on by WSA Awards

Mr. Ying Mei | Radiology | Best Researcher Award

Institute of Public Health and Preventive Medicine | China

Ying Mei demonstrates a strong blend of clinical expertise, academic contribution, and innovative thinking that positions him as a valuable candidate for professional recognition. His strengths are evident in his long-standing contributions to radiology, particularly in CT, MR, and ultrasound diagnostics, where his diagnostic accuracy and methodological rigor have consistently supported improved patient outcomes and enhanced clinical decision-making. His experience in interventional diagnosis and his sustained engagement in chronic disease health management research reflect his commitment to expanding the role of radiology in preventive and long-term care. In addition to his clinical proficiency, he has strengthened the professional knowledge base through two published monographs—serving as both chief editor and deputy chief editor—and through multiple domestic and international publications. His academic profile includes 2 documents, 19 citations, and an h-index of 1, demonstrating active participation in scientific dissemination and growing scholarly impact. Another notable strength is his capacity for innovation, evidenced by four national invention patent applications that advance technical solutions in medical imaging and demonstrate his drive to translate clinical challenges into practical, scalable innovations. While his clinical and academic achievements are impressive, continued expansion of international collaborations, deeper engagement in high-impact research projects, and increased involvement in multidisciplinary initiatives would further elevate his scholarly visibility and broaden the global relevance of his work. Strengthening publication output in top-tier journals and increasing citation influence could enhance his academic metrics and reinforce his leadership in the field. Looking ahead, Ying Mei’s future potential is significant: his combined clinical insight, research experience, and inventive capability provide a strong foundation for leading advancements in imaging-based chronic disease management, contributing to evidence-based radiology, and fostering innovation in diagnostic technologies. His background and achievements position him well for broader professional leadership roles, expanded contributions to scientific societies, and further advancements in medical imaging research and healthcare innovation—making him a promising figure poised for continued growth and impactful contributions to the radiology profession.

Profile: ORCID

Featured Publications

  1. Li, X., Zhao, C., Xu, D., Ye, J., & Mei, Y. (2025). 3-month postoperative efficacy evaluation of CT-guided ¹²⁵I seed implantation treatment for intracranial tumors: A double-center retrospective analysis. Cancer Treatment and Research Communications, 101033.

 

Bo Wan | Medicine and Dentistry | Best Researcher Award

Published on by WSA Awards

Dr. Bo Wan | Medicine and Dentistry | Best Researcher Award

Beijing Institute of Ophthalmology, Beijing Tongren Hospital, Capital Medical University, Beijing, China

Dr. Bo Wan is an emerging clinician–scientist in the field of ophthalmology, recognized for his strong commitment to advancing clinical practice and research related to myopia, cataract, and retinal disorders. With several years of experience as an ophthalmologist in a leading medical institution, he has developed extensive competence in the diagnosis, management, and surgical treatment of common and complex ocular diseases. His clinical work is characterized by precision, rigorous reasoning, and patient-centered decision-making, contributing to improved visual outcomes and enhanced quality of life for diverse patient populations. In parallel with his clinical responsibilities, Dr. Wan has maintained an active engagement in academic research, focusing on evidence-based approaches to ophthalmic disorders and exploring strategies for disease prevention and early intervention. He has authored 2 scholarly documents, which together have received 19 citations and an h-index of 1, reflecting the early but growing influence of his research contributions. His work demonstrates a consistent interest in the integration of clinical insights with scientific inquiry, and he has collaborated with colleagues across medical and academic settings to advance shared research goals. These collaborations have supported the development of multidisciplinary perspectives that enrich both clinical practice and investigative rigor. Dr. Wan’s scholarly activities reflect a broader commitment to public health and societal benefit. By contributing to improved diagnostic accuracy and more effective therapeutic pathways in ophthalmology, his work supports long-term visual health and addresses the rising global challenges of myopia and age-related ocular diseases. He is dedicated to continuous professional development and intends to expand his research output, strengthen international collaborations, and contribute to high-impact studies that can influence global ophthalmic guidelines and clinical standards. With a strong foundation in clinical practice, disciplined research habits, and a clear vision for future growth, Dr. Bo Wan is well positioned to make meaningful and sustained contributions to ophthalmic science and global eye health.

Profile: Scopus

Featured Publications

  1. (2024). Parallel comparison of ocular metrics in non-human primates with high myopia by LS900, ultrasonography and MRI-based 3D reconstruction. Experimental Eye Research.

 

Lang Liu | Energy | Best Researcher Award

Published on by WSA Awards

Mr. Lang Liu | Energy | Best Researcher Award

China University of Petroleum (Beijing) | China

Mr. Lang Liu is an emerging researcher in the field of power engineering and engineering thermophysics, specializing in the preparation of advanced filtration fiber materials, emulsion stability mechanisms, and high-efficiency oil–water separation technologies. As a doctoral candidate at the China University of Petroleum (Beijing), he has contributed to several national-level and industry-focused research projects that address critical challenges in natural gas purification and multiphase flow control. His participation in the development of domestic gas–liquid filter elements for long-distance natural gas pipeline compressor units, as well as his research contributions to the National Natural Science Foundation of China (NSFC) Young Scientist Project on internal droplet coalescence mechanisms, demonstrates a strong alignment between his academic work and major national energy needs. Mr. Liu has published research in reputable international and domestic journals, including Petroleum Processing (Petroleum Science and Technology), Colloids and Surfaces A, and Processes. His scholarly output includes 2 indexed publications, 19 citations, and an h-index of 1, reflecting an impactful early-stage research trajectory. His work exhibits strong interdisciplinary integration across materials science, colloid chemistry, and thermal engineering, and he has collaborated within cross-functional academic teams to advance filtration system design and performance evaluation. In recognition of his academic excellence, Mr. Liu has received the Doctoral Student Academic Scholarship at China University of Petroleum (Beijing) and multiple national-level awards in engineering innovation and energy conservation competitions. His research holds significant societal value, contributing to improved efficiency and sustainability in natural gas processing, reduced environmental impact of industrial separation processes, and enhanced reliability in energy infrastructure. With a growing record of scientific contributions and a clear commitment to advancing filtration and separation technologies, Mr. Lang Liu represents a promising researcher poised to make continued contributions to global energy engineering and sustainable process innovation.

Profile: Scopus

Featured Publications

  1. 2025). Multi-layer filter material with a superoleophobic pore size gradient for the coalescence separation of surfactant-stabilized oil-in-water emulsions.

 

Shaobing Hua | Medicine and Dentistry | Best Innovation Award

Published on by WSA Awards

Prof. Dr. Shaobing Hua | Medicine and Dentistry | Best Innovation Award

Hangzhou Dalton Biosciences Ltd | China

Prof. Dr. Shaobing Hua is a distinguished biomedical scientist and innovator whose career spans more than three decades of impactful contributions to molecular biology, therapeutic antibody discovery, and advanced diagnostic technologies. Trained as a molecular biologist with postdoctoral experience at leading U.S. research institutions, he has played a pivotal role in translating fundamental discoveries into clinically deployable solutions. His early work advanced the understanding of signal transduction, proteasome regulation, and gene expression in protozoan parasites, laying the foundation for subsequent research in therapeutic antibody platforms, which led to multiple U.S. and international patents for novel humanized antibodies and high-throughput screening methods. Prof. Hua is widely recognized for developing next-generation hybrid capture technologies and innovative HPV testing platforms that have transformed cervical cancer screening, particularly in resource-limited settings. Under his scientific leadership, DALTON BioSciences has introduced a suite of diagnostic products for cervical cancer, endometrial carcinoma, pre-eclampsia, and vaginitis, contributing to the health of nearly 30 million women. His portfolio includes over 30 peer-reviewed publications in journals such as Journal of Biological Chemistry, Clinical Cancer Research, Protein Science, and Oncogene, and several dozens of patents granted in the United States, China, and the PCT system. His work has been cited widely by researchers across molecular diagnostics, oncology, and immunotechnology. Throughout his career, Prof. Hua has collaborated extensively with major clinical institutions, including leading hospitals affiliated with Zhejiang University, Peking University, the Chinese Academy of Medical Sciences, and several provincial oncology centers. He has served in key roles in national research programs, including China’s 863 Program, national key research plans, and major public health initiatives focused on cervical cancer elimination. His contributions have significantly advanced women’s health diagnostics, strengthened public health infrastructures, and accelerated the global adoption of innovative molecular screening technologies. Prof. Hua’s research, leadership, and translational impact continue to shape the future of precision diagnostics and global health innovation.

Profile: ORCID

Featured Publications

Liu, S., Han, B., Jin, D. Q., Li, L. W., Ge, T. T., Shou, Y. J., Ye, J. M., Zhang, L., & Hua, S. B. (2025). Design and development of a target amplification-free microfluidic platform for multiplex nucleic acids detection: A new generation of hybrid capture immunoassay. Journal of Medical Virology.

Ding, L., Lin, Y. H., Azam, M., Sheridan, J., Wei, S., Gupta, G., Singh, R. K., Pauling, M. H., Chu, A., Tran, A., Yu, N., Hu, J., Wang, W., Long, H., Xiang, D., Zhu, L., & Hua, S. B. (2010). Generation of high-affinity fully human anti-human interleukin-8 antibodies from its cDNA by two-hybrid screening and affinity maturation in yeast. Protein Science, 19, 1957–1966.

Vaday, G. G., Hua, S. B., Peehl, D. M., Pauling, M. H., Lin, Y. H., Zhu, L., Lawrence, D. M., Foda, H. D., & Zucker, S. (2004). CXCR4 and CXCL12 (SDF-1) in prostate cancer: Inhibitory effects of human single-chain Fv antibodies. Clinical Cancer Research, 10, 5630–5639.

Xia, C., Ma, W., Wang, F., Hua, S. B., & Liu, M. (2001). Identification of a prostate-specific G-protein coupled receptor in prostate cancer. Oncogene, 20, 5903–5907.

Xia, C., Bao, Z., Tabassam, F., Ma, W., Qiu, M., Hua, S. B., & Liu, M. (2000). GCIP, a novel human Grap2 and Cyclin D interacting protein, regulates E2F-mediated transcriptional activity. Journal of Biological Chemistry, 275, 20942–20948.

S M Nahian Al Sunny | Computer Science | Editorial Board Member

Published on by WSA Awards

Dr. S M Nahian Al Sunny | Computer Science | Editorial Board Member

Walmart Global Tech | United States

Dr. S. M. Nahian Al Sunny is an accomplished computer engineer and software professional whose work bridges advanced data-driven engineering, large-scale cloud systems, and next-generation cyber-physical infrastructures. He holds a Ph.D. in Computer Engineering from the University of Arkansas, USA, complemented by a Bachelor of Science in Electrical and Electronics Engineering from the Bangladesh University of Engineering and Technology (BUET). With over two years of industry expertise in software engineering and five years of research-focused development, Dr. Sunny has established himself as a leading contributor in scalable cloud application design, data engineering, and intelligent system optimization. Currently serving as a Software Engineer III at Walmart Global Tech, Dr. Sunny specializes in designing, developing, and optimizing Spark/PySpark applications for forecasting and anomaly detection across diverse, large-scale retail datasets. His contributions include building ETL pipelines in Google Cloud Platform (GCP), designing statistical and machine learning–based forecasting models, and architecting cost-optimization strategies that achieved significant yearly savings. He has also been instrumental in modernizing data workflows by migrating legacy systems to cloud-native architectures, thereby enhancing operational efficiency and scalability. During his doctoral research, Dr. Sunny pioneered the development of MTComm, an Internet-scale communication method for cyber-physical manufacturing. His research portfolio spans IoT-enabled smart systems, edge-based data optimization techniques, autonomous robotic delivery mechanisms, and FPGA-based smart edge hubs. Collectively, his innovations demonstrate measurable improvements in latency, data volume reduction, and remote system operability—significantly advancing the field of cloud-integrated cyber-physical systems. Dr. Sunny has authored 12 peer-reviewed publications, including three journal articles and nine conference papers, with over 500 citations, reflecting the impact and relevance of his contributions. He has collaborated with interdisciplinary research teams and industry partners, consistently translating complex technical concepts into practical, societally beneficial solutions. His work continues to influence the domains of cloud computing, data engineering, and intelligent manufacturing ecosystems on a global scale.

Profiles: Scopus | Google Scholar 

Featured Publications

 

Jaroslaw Milewski | Fuel Cells | Editorial Board Member

Published on by WSA Awards

Prof. Jaroslaw Milewski | Fuel Cells | Editorial Board Member

Warsaw University of Technology | Poland

Prof. Jarosław Milewski is an internationally recognized scholar in advanced energy systems, with a distinguished record of research in fuel cell technologies, energy conversion, hydrogen systems, thermodynamics, and mathematical modeling of electrochemical processes. His work has been pivotal in the development of high-efficiency and low-emission energy solutions, particularly within the domains of molten carbonate fuel cells (MCFCs), solid oxide fuel cells (SOFCs), and hybrid power systems. Over the last two decades, he has authored and co-authored more than 250 peer-reviewed publications, including journal articles, conference papers, and book chapters, which collectively hold several thousand citations, reflecting his significant influence on global clean-energy research. A key element of his scholarly contribution is the integration of artificial intelligence with energy system modeling. His recent work on Artificial Neural Network-based mathematical models for methanol steam reforming in MCFC anodes demonstrates his commitment to bridging experimental research with advanced computational frameworks. This approach has accelerated the optimization and predictive capabilities of next-generation fuel cell systems, supporting more sustainable industrial and power-generation applications. Prof. Milewski has collaborated extensively with leading research groups across Europe, Asia, and North America, contributing to multinational energy-innovation consortia, EU-funded projects, and industry-academia partnerships aimed at advancing decarbonization technologies. His leadership roles include serving on editorial boards of prominent energy journals, supervising doctoral candidates, and contributing to international scientific committees in sustainable engineering.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1.  Nikonowicz, Ł., & Milewski, J. (2012). Virtual power plants—General review: Structure, application and optimization. Journal of Power Technologies, 92(3), 201.

2.  Milewski, J., Świrski, K., Santarelli, M., & Leone, P. (2011). Advanced methods of solid oxide fuel cell modeling. Springer-Verlag London.

3.  Huang, Z., Xie, Z., Zhang, C., Chan, S. H., Milewski, J., Xie, Y., Yang, Y., & Hu, X. (2019). Modeling and multi-objective optimization of a stand-alone PV–hydrogen–retired EV battery hybrid energy system. Energy Conversion and Management, 181, 80–92.

4.  Modeling the SOFC behaviors by artificial neural network. International Journal of Hydrogen Energy, 34(13), 5546–5553.

5.  Milewski, J., Guandalini, G., & Campanari, S. (2014). Modeling an alkaline electrolysis cell through reduced-order and loss-estimate approaches. Journal of Power Sources, 269, 203–211

Jing Ruan | Materials Science | Editorial Board Member

Published on by WSA Awards

Assoc Prof Dr. Jing Ruan | Materials Science | Editorial Board Member

Shanghai Jiao Tong University School of Medicine | China

Dr. Jing Ruan is an Associate Professor in the Department of Ophthalmology at the Shanghai Jiao Tong University School of Medicine and the Affiliated Ninth People’s Hospital. She earned her Ph.D. in Biomedical Engineering from Shanghai Jiao Tong University and completed earlier degrees in Materials Science & Engineering (B.S.) and Applied Chemistry (M.S.). Her research trajectory spans materials science, biomedical engineering, ophthalmology, and translational nanomedicine. Prior to her academic appointment, she contributed to drug discovery research at Lilly China Research and Development Center, strengthening her foundation in therapeutic innovations. Dr. Ruan’s research focuses on the design of implantable biomaterials and the molecular mechanisms underlying cellular responses. She is internationally recognized for her work in ocular oncology, particularly the epigenetic and pathogenic processes driving melanoma progression. Her interdisciplinary expertise extends to nanotechnology-based targeted cancer therapies, including gene nanocarriers, multimodal theranostic nanoprobes, and nano–immune adjuvants. Over the past five years, she has authored numerous high-impact publications in Acta Biomaterialia, Nano Today, Oncogene, Clinical and Translational Medicine, Bioactive Materials, and Advanced Science, reflecting significant contributions to cancer therapeutics, biomimetic scaffolds, nanotoxicology, and photodynamic therapy. Her collective body of work exceeds dozens of peer-reviewed papers, many of which involve collaborations with leading scientists such as Kam W. Leong, X.J. Loh, and X. Fan, underscoring her strong interdisciplinary and international research partnerships. Her research excellence has been recognized through multiple prestigious awards, including the Pujiang Award (2021), Rising Star Award (2017), and Outstanding Doctoral Dissertation Award (2016). Earlier distinctions such as the Young Artist Award and the First Ruth Mulan Chu Chao Scholarship highlight her longstanding academic merit.

Profiles: Scopus

Featured Publications

1. Ma, Y., Lin, H., Wang, P., Yang, H., Yu, J., Tian, H., Li, T., Ge, S., Wang, Y., Jia, R., Leong, K. W., & Ruan, J. (2022). A miRNA-based gene therapy nanodrug synergistically enhances pro-inflammatory antitumor immunity against melanoma. Acta Biomaterialia.

2. Ruan, J., Li, F., Tian, H., Yu, J., Deng, H., Ge, S., & Leong, K. W. (2022). A cascade FRET photosensitizer that enhances photodynamic therapy for ocular melanoma. Nano Today, 47, 101684.

3. Zhuang, A., Chai, P., Wang, S., Zuo, S., Yu, J., Jia, S., Ge, S., Jia, R., Zhou, Y., Shi, W., Xu, X., Ruan, J., & Fan, X. (2022). Metformin promotes histone deacetylation of optineurin and suppresses tumour growth through autophagy inhibition in ocular melanoma. Clinical and Translational Medicine, 12(1), e660.

4. Gu, X., Zhuang, A., Yu, J., Chai, P., Jia, R., & Ruan, J. (2022). Phase separation drives tumor pathogenesis and evolution: All roads lead to Rome. Oncogene, 41(11), 1527–1535.

5. Tian, H., Shi, H., Yu, J., Ge, S., & Ruan, J. (2022). Biophysics role and biomimetic culture systems of ECM stiffness in cancer EMT. Global Challenges, 6(6), 2100094.

Rongjun Cheng | Engineering | Editorial Board Memeber

Published on by WSA Awards

Assoc Prof Dr. Rongjun Cheng | Engineering | Editorial Board Memeber

Hefei University of Technology | China

Dr. Rongjun Cheng, born on September 30, 1988, in Huanggang, Hubei, China, is a mechanical engineer specializing in micro–nano sensing and ultra-precision measurement technologies. He earned his Bachelor’s degree in Mechanical Engineering and Automation from the China University of Geosciences in 2011, followed by a continuous postgraduate–doctoral program at Xi’an Jiaotong University, where he received his Ph.D. in Mechanical Engineering in 2016. His doctoral work focused on resonant pressure sensors, laying the foundation for his long-term contributions to MEMS-based sensing and precision instrumentation. Since joining the Hefei University of Technology in 2016, Dr. Cheng has developed a strong research program centered on micro–nano sensing technology, micro–nano measurement systems, and ultra-precision air motion platforms. His research group has in competitive project funding, reflecting the innovation and applied value of his work. Dr. Cheng has authored numerous peer-reviewed publications in high-quality journals such as Journal of Thermal Stresses, Measurement Science and Technology, Sensors, Micromachines, and AIP Advances. His representative works span thermoelastic damping suppression in micro-beam resonators, advanced microsphere measurement techniques, and high-performance quartz–silicon resonant sensors. Collectively, his publications demonstrate significant technical rigor, with measurable impact in precision engineering, micro-electromechanical systems (MEMS), and metrological science. Dr. Cheng’s research integrates theoretical modeling, microfabrication, and experimental validation, and he has collaborated across interdisciplinary teams working in micro/nano instrumentation and materials science. His contributions support advances in ultra-precise measurement technologies, with potential societal impacts in manufacturing accuracy, scientific instrumentation, and next-generation sensing systems.

Profile: Scopus | ORCID

Featured Publications

1. Zhang, Z., Huang, Q., Liu, H., Li, H., Cheng, R., Zhang, L., & Li, R. (2025). Design and driving control of cross-scale micro-nano coordinate measuring machine. IEEE Transactions on Instrumentation and Measurement. Advance online publication.

2. Xu, J., Huang, Q., Wang, Z., Cheng, R., Zhang, L., Li, H., Wang, C., & Li, R. (2025). Microstructure edge measurement with nanometer lateral resolution based on astigmatism. IEEE Transactions on Instrumentation and Measurement. Advance online publication.

3. Zhang, Z., Huang, Q., Wang, G., Li, H., Zhang, L., Cheng, R., Li, R., & Pan, Q. (2025, August). Design method and error analysis of 3D measurement system in accordance with the Abbe principle. Measurement, 117369.

4. Cheng, R., Jian, H., Li, Y., Huang, Q., Zhang, L., & Li, H. (2025, June). A novel minimum zone method for cylindricity error evaluation based on rotation projection method and adaptive particle swarm optimisation. Precision Engineering.

5. Zhang, Z., Huang, Q., Lu, J., Li, H., Cheng, R., & Zhang, L. (2025). On-machine separation and compensation of target mirror’s surface shape errors in multidimensional interferometric measurement system. Review of Scientific Instruments, 96(1).