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.

đź”— 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.

đź“„ 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

Huiqin jia | Engineering | Women Researcher Award | 13437

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Prof. Huiqin jia | Engineering | Women Researcher Award

Prof. Huiqin jia, xi’an shiyou university, China

Prof. Huiqin Jia, a distinguished faculty member at Xi’an Shiyou University, China, is a leading expert in multiphase flow detection methods and related signal processing algorithms. With a Ph.D. earned in 2003 and rich experience across academia and industry, she has spearheaded over 20 high-impact scientific research projects and collaborated with major enterprises such as CNOOC, Sinopec, and PetroChina. Her prolific contributions include 70+ published papers, 20+ patents, and numerous software copyrights. Her innovative work in ultrasound, radio frequency, and optical detection techniques has significantly advanced measurement technologies in the oil and gas sector.

Profile

Scopus

🎓 Early Academic Pursuits

Prof. Huiqin Jia embarked on her academic journey with a solid foundation in engineering and applied sciences. She earned her Ph.D. in 2003, demonstrating early excellence in scientific inquiry and dedication to solving real-world engineering problems. Her passion for technological innovation and multidisciplinary research guided her path toward applied instrumentation and process control — especially in fields closely tied to energy systems and industrial measurement technologies.

During her early academic years, Prof. Jia laid the groundwork for what would become a prolific research career. Her graduate and doctoral work shaped her interest in multiphase flow systems, a complex and essential area for oil, gas, and petrochemical industries.

🏢 Professional Endeavors

Following her doctoral studies, Prof. Jia gained extensive experience in industry, which significantly enriched her practical understanding of engineering challenges. Her transition to academia marked a new chapter, where she blended theoretical insight with field-based application.

As a professor at Xi’an Shiyou University, she has led more than 20 national, provincial, and ministerial research projects, including strategic collaborations with industrial leaders such as CNOOC Oilfield Services, Sinopec, and PetroChina. This strong academia-industry synergy has allowed her to translate scientific theories into commercially viable and technologically advanced products.

Her leadership roles also extend to academic peer review, currently serving as a reviewer for the Journal of Measurement and Control Technology, a testament to her respected authority in the field.

🔬 Contributions and Research Focus

Prof. Jia’s research primarily focuses on multiphase flow detection methods, a challenging area critical to process control in petroleum and chemical industries. She has developed groundbreaking technologies, including:

  • An ultrasound-based detection system for measuring flow characteristics in oil and gas extraction.

  • A radio frequency method for water content measurement.

  • An optical detection system for foam content analysis.

These innovations are not just academic; they are the basis for several instruments now used in industry to improve operational safety, accuracy, and efficiency.

Her contributions have resulted in:

  • Over 70 published research papers, many in high-impact SCI and Scopus-indexed journals.

  • More than 20 authorized invention patents.

  • Over 30 software copyrights.

  • 10 consultancy/industry projects, demonstrating applied impact.

  • One published book with ISBN.

  • 13 citation index entries, marking the influence of her work across scholarly networks.

🏅 Accolades and Recognition

Prof. Jia is widely recognized for her contributions to both science and society. She is a respected member of:

  • The China Petroleum Society

  • The China Instrument and Control Society

Her selection as a nominee for the Women Research Award is a reflection of her role as a trailblazer among women in engineering and instrumentation. Her continued contributions, especially in male-dominated technical fields, highlight her as a role model for aspiring women researchers.

🌍 Impact and Influence

The impact of Prof. Jia’s work goes beyond academic citations. Her innovative measurement tools have real-world utility, enabling better monitoring and control in energy production processes. Her close collaborations with China’s major oil enterprises demonstrate her role in bridging the gap between research and industry, influencing both technological advancement and economic development.

Her consultancy projects not only solve industry-specific problems but also foster long-term research alliances that enable sustainable innovation in the field of process measurement and automation.

đź”— Legacy and Future Contributions

Prof. Huiqin Jia’s legacy is already marked by a blend of academic excellence, industrial collaboration, and technological innovation. Looking forward, she is well-positioned to:

  • Expand research into AI-enhanced signal processing for multiphase systems.

  • Mentor the next generation of female scientists and engineers.

  • Further strengthen the link between academic research and practical industrial solutions.

Her work is setting a high standard for applied instrumentation research in China and internationally, offering innovative solutions to long-standing engineering challenges.

đź“„ Publication Top Notes

Artificial neural network model based on improved VMD algorithm to monitor sand mass flow rate in natural gas pipeline

Author: H., Jia, , , F., Li, FeHuiqini, … J., Zhao, Jiaxuan, Z., Sun, Zhimeng
Journal: Measurement
Year: 2025

Design and simulation of small-sized antenna in microwave transmission method for water content measurement instrument

Author: H., Jia, Huiqin, D., Wan, Dandan, J., Zhou, Jiacheng, Y., Wei, Yi
Journal: Measurement and
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 LiabĂ©s 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