Ka Yung Cheng -Data Integration – Innovative Researcher Award

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Ka Yung Cheng -Data Integration – Innovative Researcher Award

Mrs. Ka Yung Cheng distinguished academic and researcher in the field Data Integration.

šŸŒ Professional Profile

EducationsšŸ“ššŸ“ššŸ“š

She pursued her education at Christian-Albrechts-UniversitƤt zu Kiel in Germany, where she has been working towards a Doctor of Medical Science (Dr. rer. medic) since 2021. Her doctoral thesis, titled ā€œAn Image Annotation Pipeline for Body Area, Modality and Laterality (IMBODY),ā€ focuses on developing advanced methodologies in medical imaging. Prior to this, she earned a Master of Science in Information Technology from Technische Hochschule Ostwestfalen-Lippe in Lemgo, Germany, from 2019 to 2021. Her masterā€™s thesis, ā€œDeveloping a Deep Learning Metal Classification Method for Prompt-Gamma Neutron Activation Analysis (PGNAA),ā€ showcased her expertise in deep learning and its applications in material analysis. She also holds a Bachelor of Science in Technical Informatics from Technische Hochschule Ostwestfalen-Lippe, completed between 2017 and 2019. Her bachelorā€™s thesis, ā€œImplementation and Qualification of a Machine Learning Library for Performing Image Processing Tasks in an Industrial Environment,ā€ reflects her strong foundation in machine learning and its practical applications in industrial settings.

Experience

She has been a Medical Informatics Researcher at UniversitƤtsklinikum Schleswig Holstein in Kiel, Germany, since January 2021. In this role, she focuses on training and evaluating deep learning models to classify medical images by modality, laterality, and body parts using SNOMED CT terminology. Her responsibilities also include collecting and curating medical image datasets to SNOMED CT codes, integrating pharmacological data from a data lake to a clinical data repository using Talend and Java (Spring Boot), indexing medical metadata in Elasticsearch, and transforming clinical data to international standards like FHIR and openEHR. Prior to this, she worked at Phoenix Contact in Blomberg, Germany. From April 2019 to March 2020, she served as a Software Developer, where she performed image preprocessing for controlling the plastic housing of products and created ETL jobs using PowerBI to develop a matrix of stored products. Before that, she completed an apprenticeship as a Software Developer at Phoenix Contact from 2016 to 2018, where she analyzed functional and technical requirements and developed applications in COBOL.

šŸ“šŸ”¬PublicationsšŸ“šŸ”¬
  • ā— Instance-level Medical Image Classification for Text-based Retrieval in a
    Medical Data Integration Center
    https://doi.org/10.1016/j.csbj.2024.06.006
    ā— Structured Data Retrieval and Analysis of HL7 v2 Messages with
    Elasticsearch https://doi.org/10.3233/shti231246
    ā— An Image Retrieval Pipeline in a Medical Data Integration Center
    https://doi.org/10.3233/shti231208
    ā— ETL Processes for Integrating Healthcare Data – Tools and Architecture
    Patterns https://doi.org/10.3233/shti220974
    ā— Prompt-Gamma Neutron Activation Analysis (PGNAA)” Metal Spectral
    Classification using Deep Learning Method
    https://doi.org/10.48550/arXiv.2208.13909

Wei Zhang – Digital algorithms – Best Researcher Award

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Wei Zhang – Digital algorithms – Best Researcher Award

Dr. Wei Zhang distinguished academic and researcher in the field Digital algorithms. Zhang Wei and Liu Hui have collaborated on several scholarly articles addressing rural economic issues in China. In their 2020 publication in “Jiangsu Agricultural Sciences,” they examined the “Problems and Countermeasures in the Development of Rural Collective Economy,” using Fenyi County, Jiangxi Province as a case study. This article, found in volume 48, issue 21, pages 28-33, discusses specific challenges faced by rural economies and proposes various strategies for improvement.

šŸŒ Professional Profiles

EducationsšŸ“ššŸ“ššŸ“š

From September 2016 to June 2019, he pursued his Bachelor of Marketing at Hefei University of Technology. He continued his studies at Hunan Agricultural University, where he earned a Master of Agricultural and Forestry Economics and Management, completing the program in June 2021. Building on his academic achievements, he began his PhD in Capability Economic Management at the same university in September 2021, with an expected completion date of June 2025.

Research Experience

Zhang Wei and Liu Hui have collaborated on several scholarly articles addressing rural economic issues in China. In their 2020 publication in “Jiangsu Agricultural Sciences,” they examined the “Problems and Countermeasures in the Development of Rural Collective Economy,” using Fenyi County, Jiangxi Province as a case study. This article, found in volume 48, issue 21, pages 28-33, discusses specific challenges faced by rural economies and proposes various strategies for improvement. Following this, in 2022, they published an article in “Price Theory and Practice,” where they analyzed the effectiveness of reforms in the rural collective property rights system from the perspective of farmer participation. This research, featured in the March 2022 issue on pages 169-172 and 205, was underpinned by a survey of 315 farmer households across Hunan and Jiangxi provinces, offering valuable insights into the impact of these reforms on rural communities.

Project experience

He hosted the 2023 Hunan Provincial Postgraduate Research Innovation Project Key Project, CX20230730, which focused on the Research on the Contract and Performance of Farmland Infrastructure Governance under Endowment Heterogeneity. He also played a significant role in contributing to several major research projects. He participated in writing a major project for the Hunan Provincial Social Science Fund, numbered 23ZWA14, which involved researching the Current Situation and Countermeasures of Rural Collective Economic Development in Hunan Province. Additionally, he contributed to the general project of the Hunan Provincial Social Science Fund, 21YBA079, which examined the governance mechanism and performance of high-standard farmland in the context of food and ecological security. His research contributions extended to the Hunan Provincial Natural Science Foundation’s general project, 2023JJ30312, focusing on the mechanism and performance of digital technology in empowering farmland water conservancy facilities. Moreover, he was involved in writing for a project under the Hunan Provincial Development and Reform Commission that researched coordinated food and ecological security in the middle and lower reaches of the Yangtze River plain, considering ā€œresources-factors-policies.ā€

Personal honor

He achieved notable recognition in various academic competitions and forums. At the 2021 Modern Agricultural Development Forum and the First “World Agriculture” Workshop in the context of “Dual Cycles,” he won the second prize in the paper competition. His research excellence continued into the following year when he won the first prize for outstanding paper at the 2022 Hunan Rural Economics Association Annual Meeting. Additionally, he received the award for the second “Economic Management Quantitative Research Methods” Excellent Paper at the School of Economics, Hunan Agricultural University. He also actively participated in advanced training sessions, including the “Jiangsu Province Applied Economic Research Methodology” workshop organized by the Economics Graduate Education Steering Committee of Jiangsu Province and the School of Economics and Management of Nanjing Agricultural University, where he earned the title of qualified student. Furthermore, he attended the “2021 Summer Econometrics and Scientific Research Methods Lecture Series” at the School of Statistics and Mathematics of Zhongnan University of Economics and Law, also achieving the status of qualified student.

 

šŸ“šŸ”¬PublicationsšŸ“šŸ”¬

Constance Bordet – Big data – Emerging Talent Award

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Dr. ConstanceĀ  Bordet distinguished academic and researcher in the Big data. she worked as a Professor Assistant in Pharmacology at Paris Saclay University, affiliated with Kremlin-Bicetre Hospital and Rives de Seine Hospital. Under the supervision of Professor Lamiae Grimaldi, her responsibilities included providing methodological support for research teams at the hospitals, particularly in clinical pharmacy and oncology. Additionally, she conducted research on drug treatments for multiple sclerosis patients using health insurance databases, alongside teaching activities.

šŸŒ Professional Profiles

EducationsšŸ“ššŸ“ššŸ“š

She earned her Pharmacy diploma from the University of Toulouse between 2013 and 2023. In 2019-2020, she pursued a Pharmacovigilance Pharmacoepidemiology University Diploma at the University of Bordeaux. Following this, she completed a Master 1 in Research Biology and Health with a focus on biostatistics at the University of Lille between 2015 and 2016. Later, in 2021-2022, she pursued a Master 2 in Public Health with a specialization in epidemiology at Paris Saclay University.

Professional experiences

Prior to this role, from November 2022 to October 2023, she worked at the Clinical Investigation Center of the University Hospital of Toulouse, providing methodological support for care teams in pneumology, internal medicine, and oncology. She also participated in methodological appraisals of national and inter-regional projects.

She completed her Pharmacy thesis on protein kinase inhibitors for lung cancer management during this time. In January 2022 to July 2022, she undertook a Master 2 internship at the CESP (Center for Epidemiology and Population Health Research) – Epiphare, focusing on identifying factors associated with severe SARSCoV2 infection in multiple sclerosis patients using the National Health Data System.

In May 2021 to November 2021, she worked in the Pharmacovigilance Department of the pharmaceutical company Merck, analyzing pharmacovigilance cases and participating in implementing recommendations for ovitrelle use in men.

Earlier experiences include working in the oncology department of the University Hospital of Toulouse from November 2020 to April 2021, and in various pharmacovigilance centers and clinical pharmacy settings. Additionally, from November 2018 to April 2019, she worked in the medical device purchasing department at Toulouse University Hospital, contributing to the implementation of call for tenders.

šŸ“šŸ”¬PublicationsšŸ“šŸ”¬

Jianxiao Wang – Data Science – Best Researcher Award

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Ā Dr. Jianxiao Wang Ā distinguished academic and researcher in the Data Science and Smart Grid. He is currently an Assistant Professor at the National Engineering Laboratory For Big Data Analysis and Applications, Peking University, and a Distinguished Researcher at the PKU-Changsha Institute for Computing and Digital Economy. He obtained Bachelor’s degrees in Engineering and Economics from Tsinghua University in 2014, and completed his Ph.D. in Electrical Engineering from Tsinghua University in 2019. From 2016 to 2017, he served as a visiting researcher at Stanford University and the University of California, Berkeley. From 2019 to 2020, he worked as a project leader at the Ministry of Science and Technology of the People’s Republic of China, contributing to the 14th Five-Year Plan for High Tech Development in the field of energy and transportation, and conducting research on the 2035 National Science and Technology Development Strategy in China.

His research interests revolve around data-driven decision making for energy storage and renewable power systems, focusing on evaluating the levelized cost and designing national low-carbon pathways for emerging technologies such as AIGC, roadside photovoltaics, electric and fuel cell vehicles, power-to-hydrogen, green ammonia chemical industry, and carbon capture and storage utilization. As the first or corresponding author, he has published 1 paper in Nature Sustainability, 2 papers in Nature Communications, 1 paper in Cell The Innovation, 1 paper in Cell Patterns, and 2 papers in Cell iScience. Additionally, he has authored 99 papers published in top journals and conferences, including two 0.1% ESI Hot Paper, two 1% ESI Highly Cited Paper, and four IEEE Conference Best Paper Awards. He has applied for 35 China Invention Patents and 2 US Patents. Furthermore, he has published one Springer monograph as the first author, one IEEE Press monograph as a contributing author, and coauthored three Chinese monographs. The research article in Nature Sustainability was selected as a cover paper candidate and received an official report from Johns Hopkins University. As of August 2023, the research article in Nature Communications has been accessed over 10,000 times and cited 147 times, selected as a 0.1% ESI Hot Paper and officially reported by People’s Daily.

šŸŒ Professional Profiles

EducationsšŸ“ššŸ“ššŸ“š

He pursued his academic journey at Tsinghua University, where he completed his Bachelor’s degrees in Electrical Engineering from the Department of Electrical Engineering and Economics from the School of Economics and Management from August 2010 to July 2014. Subsequently, he continued his academic pursuit at Tsinghua University, specializing in Electrical Engineering, where he earned his Ph.D. from the Department of Electrical Engineering from August 2014 to January 2019. During his Ph.D., he achieved a GPA of 92.8, ranking 2nd out of 55 students. His outstanding performance led to his recognition as an Outstanding Doctoral Graduate and his dissertation being acknowledged as one of the top 2% at Tsinghua University. Additionally, he was awarded the Tsinghua University President Jiang Nanxiang Scholarship, a prestigious honor bestowed upon 10 Ph.D. students annually.

As part of his academic journey, he expanded his horizons through visiting researcher positions at renowned institutions. From April 2017 to December 2017, he conducted research as a visiting researcher at the University of California, Berkeley. Prior to this, from November 2016 to December 2017, he engaged in research activities as a visiting researcher at Stanford University. Furthermore, he broadened his research experience with a visiting researcher position at Texas A&M University from July 2013 to September 2013.

Research Experience

He has been serving as an Assistant Professor at the National Engineering Laboratory for Big Data Analysis and Applications at Peking University since June 2022. Concurrently, he holds the position of Distinguished Researcher at the PKU-Changsha Institute for Computing and Digital Economy. Prior to his current roles, from October 2019 to September 2020, he worked as a Project Manager at the Ministry of Science and Technology of the People’s Republic of China. Additionally, he gained valuable experience as a Lecturer at North China Electric Power University from June 2019 to May 2022.

He has received numerous accolades and awards for his outstanding contributions to science, technology, and innovation. In 2023, he was honored with the Second Prize of the Science and Technology Progress Award from the China Electrotechnical Society for his work on “Transmission and Distribution Network Coordinated Control Technology and Applications Under High Distributed Energy Penetration.” Additionally, he received the Second Prize of the Power Innovation Award from the China Electric Power Union for his achievements in “Technology and Application for Data Value-driven Hierarchical Scheduling of Renewable Power Systems.” He was also recognized with the Wu Wen-Jun Artificial Intelligence Outstanding Youth Award by the Chinese Association for Artificial Intelligence for his research on “Physics-informed Data Driven Theory for Smart Grid Operation.” Furthermore, he was selected for the Wiley Open Science Excellent Author Program.

In 2022, he was honored with the Young Scientist Award by the Ministry of Science and Technology of China. He has also been recognized under the Young Elite Scientist Sponsorship Program by the China Association for Science and Technology for his work on “Smart City Energy System Operation Considering Adaptive Consistency Control of Water Electrolysis.” He received a Gold Medal at the Geneva International Exhibition of Inventions for his contribution to “Edge-intelligence Control Technology and System of Solar+Storage Powered Microgrid.” Additionally, his paper titled “Defending Against Adversarial Attacks by Energy Storage Facility” earned the IEEE PES General Meeting Best Paper Award.

He has been recognized for his exceptional service and expertise, receiving the IEEE Transactions on Sustainable Energy Excellent Reviewer Award multiple times. He was also listed in the Forbes China 30 Under 30 Elite List and acknowledged as one of the Outstanding Young Science and Technology Talents by the China Renewable Energy Society. In 2020, he was honored as one of the Beijing Outstanding Young Talents and recognized for his contributions to energy science and technology by the China Energy Research Association. Furthermore, his innovative work on “Renewable Energy-Dominated Virtual Power Plant” secured a place in the top 10 of the Elsevier Renewable Transformation Challenge. He has also been acknowledged with various awards for his inventions and innovations, including the Silver Award at the Beijing Invention and Innovation Competition and the Gold Award at the China Invention Exhibition. Additionally, he has been recognized as a Youth Of China’s High-End Technology Innovation Think Tank for his contributions to the technological development and environmental governance benefits of China’s photovoltaic and energy storage industry.

Monograph

He has authored several publications across various domains, showcasing his expertise and contributions to the field. As the first author, he collaborated with colleagues on the book “Sharing Economy in Energy Markets: Modeling, Analysis and Mechanism Design,” published by Springer in 2022. Additionally, he authored chapters 28-30 in the book “Microgrids: Theory and Practice,” published by IEEE Press in 2023.

Furthermore, he has contributed to monographs in different capacities. In the book “Introduction to the Electricity Spot Market: Trading Strategy and Profit Model for Information Driven Growth,” published by Mechanical Industry Press in 2021, he co-authored chapters 2, 4, and 6. Additionally, he was part of the team contributing to chapter 7 in “2060 China Carbon Neutrality,” published by Chemical Industry Press in 2022. He also co-authored chapters 1 and 2 in “Introduction to New-type Power Systems,” published by the China Association for Science and Technology Carbon Peak and Carbon Neutrality Series in 2022.

Representative Academic Service

He has been recognized for his exemplary contributions and leadership in various professional capacities. In 2023, he served as the Youth Editor for Cell The Innovation, a prestigious role reflecting his expertise in the field, with the journal boasting an Impact Factor of 32.1. He was also appointed as a National Graduate Education Evaluation and Monitoring Expert by the Ministry of Education, showcasing his commitment to education excellence.

In 2022, he was honored as a Distinguished Researcher under the Beijing “Thousands of People Entering Thousands of Enterprises” program, highlighting his significant contributions to research and innovation. He was also recognized as a National Excellent Educator in the National Simulation Innovation Application Competition and appointed as an Instructor by the IEEE Industry Applications Society (IAS) at Peking University. Additionally, he received accolades as an Excellent Editor from the IET Energy Conversion and Economics.

In 2021, he was appointed as an Executive Member of the IEEE Power and Energy Society (PES) China, underscoring his leadership and expertise in the field. He also served as a Youth Working Committee Member of the 9th Council of the Chinese Electrotechnical Society, demonstrating his active involvement in professional organizations.

In 2020, he was recognized as an expert in the 6th National Technology Prediction by the Ministry of Science and Technology of China, further acknowledging his expertise and contributions to technology development. Additionally, he joined the Editorial Board of IET Renewable Power Generation, contributing his insights to the publication.

From 2019 to 2022, he chaired panel sessions at the IEEE PES General Meeting, showcasing his leadership and expertise in the field. Through these diverse roles and responsibilities, he has demonstrated his commitment to advancing research, education, and innovation in his field.

Representative Research Project

He has undertaken numerous significant research projects as the primary investigator, showcasing his leadership and expertise in the field. From November 2022 to October 2025, he leads the National Key R&D Plan project titled “Resilience Enhancement Technology for Large Urban Power Grids Amidst Extreme Events,” with a funding of 4.5 million Chinese yuan. Similarly, from January 2023 to December 2026, he is leading a project funded by the National Natural Science Foundation of China titled “Renewable-dominated Power System Flexible Ramping Operation Considering Consistency Control of Water Electrolysis Multiphysics,” with a grant of 540 thousand Chinese yuan.

In previous years, he has led various other research projects funded by prestigious organizations such as the National Natural Science Foundation of China and the State Grid Corporation of China. These projects cover a wide range of topics including virtual power plant market operation, energy systems integration, self-sustained energy systems for highways, and collaborative regulation technology for large-scale energy storage clusters. Through his involvement in these projects, he has made significant contributions to advancing research and innovation in the energy sector.

šŸ“šŸ”¬PublicationsšŸ“šŸ”¬

1 Jianxiao Wang#, Liudong Chen#, Zhenfei Tan, Ershun Du, Nian Liu, Jing Ma, Mingyang Sun, Canbing Li, Jie Song,
Xi Lu*, Chin-Woo Tan*, Guannan He*. Inherent spatiotemporal uncertainty of renewable power in China. Nature
Communications, 2023, 14: 5379.
2 Yang Yu#, Jianxiao Wang#, Qixin Chen, Johannes Urpelainen, Qingguo Ding, Shuo Liu, Bing Zhang*.
Decarbonization efforts hindered by China’s slow progress on electricity market reforms. Nature Sustainability.
2023, 6, 1006-1015.
Special Comments from Johns Hopkins University:

Chinaā€™s Sluggish Electricity Market Reforms Impede Decarbonization Efforts


Representative Publications
3 Jianxiao Wang#, Haiwang Zhong*, Zhifang Yang, Mu Wang, Daniel M Kammen*, Zhu Liu, Ziming Ma, Qing Xia
and Chongqing Kang. Exploring the trade-offs between electric heating policy and carbon mitigation in China,
Nature Communications, 2020, 11: 6054. (0.1% ESI Hot Paper) https://doi.org/10.1038/s41467-020-19854-y
Special Comments from People’s Daily and Tsinghua University News:
https://www.tsinghua.edu.cn/info/1175/21483.ht

4 Jianxiao Wang#, Feng Gao#, Yangze Zhou, Qinglai Guo, Chin-Woo Tan, Jie Song, Yi Wang*. Data sharing in energy
systems. Advances in Applied Energy, 2023, 10: 100132.
AEii International Applied Energy and EnergyVision Youth Scientists Forum Report:
https://mp.weixin.qq.com/s/9FyaH55gpaKFirXhlrboGg
5 Jianxiao Wang#, Haiwang Zhong*, Zhifang Yang, Xiaowen Lai, Qing Xia, Chongqing Kang. Incentive mechanism
for clearing energy and reserve markets in multi-area power systems. IEEE Transactions on Sustainable Energy, 2020,
11(4): 2470 ā€“ 2482.
6 Jianxiao Wang#, Junjie Qin, Haiwang Zhong*, Ram Rajagopal, Qing Xia, Chongqing Kang. Reliability value of
distributed solar+storage systems amidst rare weather events. IEEE Transactions on Smart Grid, 2019, 10(4): 4476 ā€“
4486.
7 Jianxiao Wang#, Haiwang Zhong*, Xiaowen Lai, Qing Xia, Yang Wang, Chongqing Kang. Exploring key weather
factors from analytical modeling toward improved solar power forecasting. IEEE Transactions on Smart Grid, 2019,
10(2): 1417-1427.
8 Jianxiao Wang#, Haiwang Zhong, Qing Xia*, Chongqing Kang. Optimal planning strategy for distributed energy
resources considering structural transmission cost allocation. IEEE Transactions on Smart Grid, 2018, 9(5):
5236-5248.
9 Jianxiao Wang#, Haiwang Zhong, Chin-Woo Tan, Xiao Chen, Ram Rajagopal, Qing Xia*, Chongqing Kang.
Economic benefits of integrating solar-powered heat pumps in a CHP system. IEEE Transactions on Sustainable
Energy, 2018, 9(4): 1702-1712.
10 Jianxiao Wang#, Haiwang Zhong, Ziming Ma, Qing Xia*, Chongqing Kang. Review and prospect of integrated.

Fatma Sule Bilgic- Graph abstract – Graph Analytics Research Excellence Award

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Dr.Ā  Fatma Sule BilgicĀ  distinguished academic and researcher in the field Graph Abstract. She has taken on various administrative roles, serving as the Quality and Accreditation Department Commission Representative and as a member of the Zero Waste Commission. Proficient in English with good reading comprehension, moderate speaking, and writing skills, she scored 60 in the KPDS/ƜDS exam. In terms of her academic achievements, she holds a Master’s thesis on the examination of the effect of the mother’s nutritional status on the content of breast milk’s macronutrients, supervised by Assoc. Prof. Dr. GĆ¼lƧin Bozkurt and Prof. Dr. Asuman Ƈoban. Her doctoral thesis, supervised by Prof. Dr. GĆ¼lƧin Bozkurt, focuses on the impact of web-based infant care education based on Meleis’ Transition Theory on maternal self-confidence and newborn health. With a Google Scholar citation count of 63 and an h-index of 3, and a Web of Science citation count of 25 and an h-index of 2, her research has made a notable impact. She has also contributed to national journals with publications such as an article evaluating the emotional and mental impact of midwifery students’ experiences in the delivery room, and another discussing the dimension of male contraception in reproductive health.

 

šŸŒ Professional Profiles

EducationsšŸ“ššŸ“ššŸ“š

The individual completed their education journey, culminating in a Doctorate from Istanbul University-Cerrahpaşa Graduate School of Education, Department of Midwifery, in 2023, following a Master’s degree in Midwifery from the same institution in 2020, and a Bachelor’s degree in Midwifery from HaliƧ University in 2014. Prior to their academic pursuits, they attended Bakırkƶy 70th Year Health Vocational High School for their secondary education, graduating in 2006. Their professional experience includes roles as a Lecturer at HaliƧ University Faculty of Health Sciences, Department of Midwifery, starting in 2020, and as a Research Assistant at HaliƧ University School of Health Sciences, Department of Midwifery, from 2014 to 2020. Before their academic career, they worked as a Nurse-Midwife at Haseki Training and Research Hospital Neonatal Intensive Care Unit from 2011 to 2014, and as a Nurse at Dağkapı Children’s Diseases Hospital Neonatal Intensive Care Unit from 2010 to 2011.

 

ResearchĀ 

She, along with her colleagues, has been actively involved in conducting various research studies on topics related to reproductive health and sexuality. Some of her recent publications include studies on the impact of COVID-19 on family planning and sexuality, attitudes and beliefs regarding sexuality during pregnancy, breastfeeding success after cesarean delivery, the effect of yoga on sexual function and body image in pregnant women, and nonpharmacological interventions for infantile colic. Additionally, she has contributed to understanding gender perception and dating violence attitudes among women students of health sciences. Her research also extends to investigating the severity and impact of symptoms in women with urinary incontinence. Moreover, she has co-authored a systematic review and meta-analysis on the effect of telehealth on incontinence severity in women. Furthermore, she has contributed a chapter on postpartum contraception in the international book “Postpartum Period,” edited by Yılmaz T. She continues to make significant contributions to the field of reproductive health through her research endeavors.

Ā PublicationšŸ“šāœØšŸ“šāœØ

 

 

Rayhane Sadeghi – Network Visualization- Women Researcher Award

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Rayhane Sadeghi – Network Visualization

Ms.Ā  Rayhane Sadeghi distinguished academic and researcher in the fieldĀ  Network Visualization. Her research interests lie at the intersection of physics and computer science, with a focal point on machine learning and its applications in solar physics research and astronomy. She is particularly intrigued by the dynamic behavior of the Sun and its implications for space weather and our comprehension of the universe.

 

šŸŒ Professional Profiles

Educations: šŸ“ššŸŽ“

She pursued her academic journey in Physics with a specialization in Plasma from 2019 to 2022 at Payam e Noor University and Amirkabir University of Technology in Tehran, Iran. Her thesis focused on investigating the dynamic behavior of solar chromospheric bright points within network Python frameworks and internetwork Energy Engineering-Radiation applications. Prior to her M.Sc, she completed her undergraduate studies from 2010 to 2014 at the Karaj Branch of Islamic Azad University in Iran, majoring in Electrical Engineering-Electronics. Her thesis during this period explored the application of wavelet transform in power quality evaluation, blending mathematics and physics. Before her undergraduate studies, she attended the National Organization for Development of Exceptional Talents (NODET) from 2003 to 2010 in Karaj, Iran.

Research Fields:

One area of particular interest to her is the utilization of machine learning techniques to analyze data from the IRIS and HINODE spacecraft. These missions have bestowed unprecedented views of the Sun’s atmosphere, generating vast datasets exploitable for studying a myriad of phenomena, from magnetic reconnection events to coronal loop dynamics. Additionally, she harbors curiosity about amalgamating physics and computer science in diverse research realms, such as formulating new algorithms for astronomical data analysis or employing machine learning to model intricate physical systems.

Within the realm of solar physics, she aims to delve into various topics, encompassing the mechanisms propelling the Sun’s magnetic field, the characteristics of solar flares and coronal mass ejections, and the interplay between the solar wind and the Earth’s magnetosphere. Through the development of novel tools and techniques for scrutinizing solar data, she aspires to enrich our comprehension of these phenomena and contribute to the broader expanse of space science.

In sum, she is eager to pursue a PhD in this domain and collaborate with leading researchers to craft innovative methods for investigating the Sun and other celestial entities. She holds the conviction that the amalgamation of physics and computer science offers a potent avenue for advancing our cosmic understanding and devising inventive solutions to intricate problems. As a dedicated and impassioned researcher, she is resolute in her commitment to making significant strides in this field and propelling our understanding of the cosmos.

Award

She is a remarkable individual, recognized as the top graduate in both the first district of Payame Noor University and across Tehran province. Her excellence extends beyond academia, as demonstrated by her achievements, including winning the 22nd Khwarizmi Youth Awards for her innovative work on Alborz state security robots. Additionally, she has been honored with certificates from prestigious competitions such as the Demo of 3rd Iran Open Robotic Competition at QIAU and the 5th Smart Mice and Robotic Competition at Islamic Azad University, Tabriz Branch. Her dedication and ingenuity in the field of robotics showcase her as a standout talent in her field.

 

Conference

She is an accomplished researcher who has made significant contributions to various scientific symposiums and conferences. Her expertise spans multiple disciplines, including physics, solar physics, and geophysics. Notably, she has presented oral presentations and posters on topics such as characterizing solar spicules, exploring damping properties of iris bright points, and investigating magnetic bright point characteristics. Her use of advanced techniques like machine learning, deep learning, and spectral analysis highlights her innovative approach to research. Additionally, her presentations on topics such as geometric components of resistivity measurement and the performance of well logging tools demonstrate her proficiency in geophysical investigations. With her collaborative efforts in poster presentations, she showcases her ability to work effectively within research teams. Overall, her contributions to the scientific community underscore her as a dedicated and accomplished researcher in her field.

 

Ā šŸ“šTop Noted Publication

Hongxia Song – Graph Analytics- Best Researcher Award

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Hongxia Song – Graph Analytics

Dr. Hongxia SongĀ  Ā distinguished academic and researcher in the field Graph Analytics.Ā  Song Hongxia, born in 1979 in Changzhi, Shanxi, is a highly accomplished individual with a Ph.D. and the title of associate professor, specializing in vegetable cultivation and stress physiology. Serving as a master’s supervisor, she is deeply involved in research on horticultural plant functional substance mining and product development. Song Hongxia holds the esteemed position of a post expert in the Shanxi Vegetable Industry System and is an active member of the Professional Technical Committee of Agricultural Products and Animal Husbandry Inspection and Testing in the Shanxi Inspection and Testing Alliance. Additionally, she contributes to standardization efforts as a member of the Standardization Committee in Jinzhong City.

Recognized for her exceptional contributions, Song Hongxia has received various accolades, including the title of “One hundred Gold Medal Lecturers” by the Shanxi Provincial Department of Agriculture. Her expertise extends to leadership roles, where she serves as the Chief Expert of Shilou County and holds the distinguished title of Expert in the Expert Group of Jinzhong Rural Revitalization Association. Notably, she is acknowledged as a Distinguished Expert in Shangdang District, Taigu District, and Zezhou County, showcasing her commitment and impact in the field of agriculture and rural development.

Eduvation

She embarked on her academic journey in 1998, pursuing a Bachelor’s degree in Horticulture and Economic Management at Shanxi Agricultural University. Demonstrating a strong commitment to her field, she continued her studies at the same institution and earned a Master’s degree in Vegetable Science from 2002 to 2005. Undeterred in her pursuit of knowledge, she further advanced her academic qualifications by undertaking a Ph.D. in Vegetable Science at Shanxi Agricultural University from 2011 to 2015. Throughout her educational trajectory, she exhibited a dedicated focus on horticulture and vegetable science, laying the foundation for her subsequent contributions to these domains.
Professional Profiles:

Professional Experience

She has accumulated a wealth of professional experience, currently holding the position of Associate Professor in the Department of Vegetables at the College of Horticulture, Shanxi Agricultural University, a role she has undertaken since 2017. Prior to her current position, she served as a Lecturer in the same department from 2008 to 2017, showcasing her commitment to academic and professional growth. Her journey in academia began as an Assistant Professor in the Department of Vegetables at the College of Horticulture, Shanxi Agricultural University, where she contributed from 2005 to 2008. Across these roles, she has played a pivotal role in the academic and research endeavors related to vegetables, enriching both her expertise and the educational landscape at the university.

Teaching and scientific research projects

She has been actively involved in a multitude of research and educational initiatives, showcasing her leadership and expertise in the field. In 2023, she assumed the role of principal investigator for the “Research and Practice of Smart Teaching Reform of ‘Vegetable Science Experiment'” (Project No: J20230323), which is part of the Shanxi Provincial Higher Education General Teaching Reform and Innovation Project. Her dedication to advancing education is further evident as the course leader for “Vegetable Cultivation,” a course recognized as an offline first-class offering in Shanxi Province in 2022.

In 2021 and continuing into the present, she holds the esteemed position of a position expert within the vegetable industry technology system in Shanxi Province, underlining her influence in shaping the technological landscape of the local industry. Her commitment to innovation is demonstrated through her leadership as the principal investigator for the “Integration and Demonstration of Efficient Production Technology for Fruits and Vegetables in Facilities” (Project No: XDHZRCZXY-04) under the College of Talent Revitalization at Shanxi Agricultural University in 2023.

Additionally, she actively contributes to addressing critical challenges in the field, such as the participation in the key R&D project of Shanxi Province titled “Research on key technologies for overcoming temperature and light stress obstacles and environmental regulation of fruits and vegetables” (Project No: 202102140601013). Through her multifaceted involvement in research, education, and technology integration, she continues to make significant strides in advancing the understanding and application of vegetable science.

Textbooks

Vegetable Seedling science, China Agriculture Press, 2014, Editor-in-Chief

Honorable achievements

1. Technical Regulations for Drought-resistant and Light Simplified Cultivationof Pepper in Open Field Shanxi Province Local Standard (DB 14/T 2412-2022), Shanxi Provincial Agricultural Standardization Technical Committee, 2022, No. 1. 2.Technical Regulations for Dryland Tomato Cultivation, Shanxi Provincial Local Standard (DB 14/T 2064ā€”2020), Shanxi Provincial Agricultural Standardization Technical Committee, 2020, No. 1. 2. “2+1+1” School-Enterprise (Institute) Joint Talent Training Model, Special Prize for Teaching Achievements in Shanxi Provincial Colleges and Universities, Shanxi Provincial Department of Education, 2018, fourth. 3. Technical specification for efficient carbon sequestration production of celeryin solar greenhouse, Shanxi Provincial Local Standard (DB 14/T 1555-2018), Shanxi Provincial Agricultural Standardization Technical Committee, 2018, first. 4.Technical specification for efficient carbon sequestration production of carrots in early spring in solar greenhouse, Shanxi Provincial Local Standard (DB14/T1284-2016), Shanxi Provincial Agricultural Standardization Technical Committee, 2016, No. 1. 5. One of the “100 Gold Medal Teachers”, Shanxi Provincial Department of Agriculture, 2020. need bullats

Patents

Song Hongxia, Yang Yanwei, Li Yanping, Li Meilan, Hou Leiping, Lu Qiang. Acooking and crushing device for producing tomato paste, 2021.1.15. China, ZL20202 14856687
Song Hongxia, Li Meilan, Hou Leiping, Xu Xiaoyong, Nie Hongmei. . Asupport
for tomato planting, 2021.4.23. China, ZL 2020 2 1050095.5 2021.01

Publication

1. Hongxia Song, QiangLu, Tianyue Song, et al. Study on the Mechanism of Carotenoid
Production and Accumulation in Orange Red Carrot (Daucus carota L.). Scientia
Horticulturae, 327(3). doi: org/10.1016/j.scienta.2023.112825(2024)

2. Song H, Wu P, Lu X, Wang B, Song T, Lu Q. (2023) Comparative physiological and
transcriptomic analyses reveal the mechanisms of CO2 enrichment in promoting the growthand quality in Lactuca sativa. PLoS ONE 18(2): e0278159. doi:10.1371/journal.pone.0278159

3. Hongxia Song, Qiang Lu, Leiping Hou, Meilan Li. The genes crucial to carotenoidmetabolism under elevated CO2 levels in carrot (Daucus carota L.). Sci Rep. 2021 Jun 8;
11(1):12073. doi: 10.1038/s41598-021-91522-7.

4. Hongxia Song, Qiang Lu & Xiaoyu Guo Identification of candidate genes associated with JAunder elevated CO2 in carrot (Daucus carota L.). Biotechnology & Biotechnological
Equipment, 2021, 35 (1), 1065ā€“1075.

5. Hongxia Song; Yanling Li; Xiaoyong Xu; Jing Zhang; Shaowen Zheng; Leiping Hou;
Guoming Xing; Meilan Li. Analysis of genes related to chlorophyll metabolismunder
elevated CO2 in Cucumber (Cucumis sativus L.), Scientia Horticulturae, 261(5). doi: org/10

 

 

Zekun Li – Graphic analysis

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Dr. Zekun Li Ā – Leading Researcher in Graphic analysis

Dr. Zekun Li a distinguished academic and researcher in the field of Graphic analysis,His academic journey began with a Bachelor of Science degree in Optoelectronic Information Science and Engineering (OSE) at Xi’an University of Posts and Telecommunications (XUPT), Shaanxi, China, where he completed his undergraduate studies from 2014 to 2018. šŸ“š

EducationšŸ“š

He is currently a Ph.D. student in Instrument Science and Technology (IST) at Xidian University, Shaanxi, China, with an expected completion date in March 2024. Prior to his doctoral studies, he pursued a master’s degree in Aerospace Engineering (AE) at Xidian University from 2018 to 2020, following a combined Master and Ph.D. program.

Professional Profiles:

Ā Research interestsĀ 

  • Fast 2D Shape Recognition, Fast 3D Shape Recognition, Deep
    Learning, Constrain Reduction of Feature Structure

ļŠ“Honors and awards

He has demonstrated exceptional academic and innovative achievements throughout his educational journey. Achieving the First Prize in ‘The Second National College Internet of Things Technology and Application ‘Three Creation’ Competition’ highlights his prowess in IoT technology. As an Excellent Student at Xi’an University of Posts and Telecommunications, he received recognition for his outstanding performance. Winning the First Prize in the 14th China Postgraduate Electronic Design Contest for the Northwest Region further underscores his excellence in electronic design. Additionally, his contribution to the development of a Rugged Terrain Measurement System based on Beidou earned him the Third Prize in the Postgraduate Group. Acknowledged as an Outstanding Graduate Student at Xidian University, he has consistently received academic scholarships every year since 2014, showcasing his sustained commitment to scholarly excellence. šŸ†šŸŽ“

Patent
ā€¢ Baolong Guo, Li, Zekun, Wenqiang Mo, et al., A shape description and retrieval
method based on the vertical inner-distance ratio of minimum bounding rectangle
(Publicly available)
ā€¢ Baolong Guo, Li, Zekun, Chao Wang, et al., An intelligent scene perception
defense device and method based on multi-source information fusion (Publicly
available)
ā€¢ Chao Wang, Baolong Guo, Li, Zekun, et al., A frequency domain sparse signal
transmission and reception system implementation method based on IFFT (Publicly available)
ā€¢ Chao Wang, Baolong Guo, Li, Zekun, et al., A garbage image classification
method based on transfer learning (Publicly available)

Published