Assoc Prof Dr. Diangeng Li | Biosensor Technology | Best Researcher Award

Assoc Prof Dr. Diangeng Li | Biosensor Technology | Best Researcher Award

Diangeng Li at Beijing Chao-Yang Hospital, Capital Medical University, China

๐Ÿ‘จโ€๐ŸŽ“ Profiles

Scopus

Summary

Assoc Prof Dr. Diangeng Li, M.D., is an Associate Professor and Associate Chief Physician at Beijing Chao-Yang Hospital, Capital Medical University. He has extensive expertise in translational medicine, focusing on biosensor technology. As a Visiting Scholar at Jefferson Hospital, Thomas Jefferson University, he has contributed significantly to medical research and innovation.

Education

  • M.D., Medical Degree
  • Visiting Scholar, Jefferson Hospital, Thomas Jefferson University, U.S.A.

Professional Experience

  • Associate Chief Physician
  • Associate Researcher
  • Associate Professor
  • M.S. Tutor

๐Ÿ”ฌ Research Interests

  • Biosensor technology
  • Translational Medicine

 

Publications

Analysis of m6A-regulated genes and subtype classification in lupus nephritis

  • Authors: Li, D., Li, Y., Zhu, K., Sun, Q., Jin, M.
  • Journal: BMC Nephrology
  • Year: 2024

An EM-Tracked Approach for Calibrating the 3D Pose of Flexible Endoscopes.

  • Authors: Long, Z., Chi, Y., Zhang, X., Li, D., Jiang, Z.
  • Journal: Annals of Biomedical Engineering
  • Year: 2021

An Ultra-miniaturized Inflammation Monitoring Platform Implemented by Long Afterglow Lateral Flow Immunoassay

  • Authors: Guo, J., Zhang, Y., Fu, Y., Guo, J., Li, D.
  • Journal: IEEE Sensors Journal
  • Year: 2024

Research Progress and Prospects of Intelligent Diabetes Monitoring Systems: A Review.

  • Authors: Zou, Y., Chu, Z., Yang, T., Guo, J., Li, D.
  • Journal: IEEE Sensors Journal
  • Year: 2024

Integrative analysis of the association between circadian rhythm and lupus nephritis

  • Authors: Jin, M., Teng, F., Cao, B., Sun, Q., Li, D.
  • Journal: Clinical Kidney Journal
  • Year: 2023

Prof Dr. Jinhong Guo | Biosensor Technology | Best Researcher Award

Prof Dr. Jinhong Guo | Biosensor Technology | Best Researcher Award

Jinhong Guo at Shanghai Jiao Tong University, China

๐Ÿ‘จโ€๐ŸŽ“ Profiles

Google Scholar

Summary

National Excellent Youth and Chongqing Jieqing Youth of China, with a focus on biosensor technology.

Education

Doctoral Director, Shanghai Jiao Tong University, Chongqing Medical University

Professional Experience

  • Chief of National Key R&D Programs
  • 200+ papers published (Nature Electronics, Angew Chem)
  • 50+ national invention patents, 30+ Class II/III medical device certifications
  • First Prize, Optical Engineering Society of China (2023)

๐Ÿ”ฌ Research Experience

  • Biosensor technology
  • Medical multimodal sensing & digital healthcare innovation
  • Technology commercialization and standardization of medical devices

 

Publications

Three-dimensional flexible electronics using solidified liquid metal with regulated plasticity

  • Authors: Guoqiang Li, Mingyang Zhang, Sanhu Liu, Man Yuan, Junjie Wu, Mei Yu, Lijun Teng, Zhiwu Xu, Jinhong Guo, Guanglin Li, Zhiyuan Liu, Xing Ma
  • Journal: Nature Electronics
  • Year: 2023

5G-enabled ultra-sensitive fluorescence sensor for proactive prognosis of COVID-19

  • Authors: Jiuchuan Guo, Shuqin Chen, Shulin Tian, Ke Liu, Jian Ni, Ming Zhao, Yuejun Kang, Xing Ma, Jinhong Guo
  • Journal: Biosensors and Bioelectronics
  • Year: 2021

Nanomaterial labels in lateral flow immunoassays for point-of-care-testing

  • Authors: Jiuchuan Guo, Shuqin Chen, Jinhong Guo, Xing Ma
  • Journal: Journal of Materials Science & Technology
  • Year: 2021

Multi-task joint learning model for segmenting and classifying tongue images using a deep neural network

  • Authors: Qiang Xu, Yu Zeng, Wenjun Tang, Wei Peng, Tingwei Xia, Zongrun Li, Fei Teng, Weihong Li, Jinhong Guo
  • Journal: IEEE journal of biomedical and health informatics
  • Year: 2020

Multiplexed detection of biomarkers in lateral-flow immunoassays

  • Authors: Lei Huang, Shulin Tian, Wenhao Zhao, Ke Liu, Xing Ma, Jinhong Guo
  • Journal: Analyst
  • Year: 2020

Mr. Yiming Zhang | biosensor technology | Best Researcher Award

Mr. Yiming Zhang | biosensor technology | Best Researcher Award

Yiming Zhang at University of Electronic Science and Technology of China, China

๐Ÿ‘จโ€๐ŸŽ“ Profiles

Scopus

Orcid

Summary

Mr. Yiming Zhang is currently pursuing his master’s degree in bioelectronics at the University of Electronic Science and Technology of China. His work focuses on biosensor technology, biomedical equipment, and chemical sensors.

Education

Master’s student, Bioelectronics, University of Electronic Science and Technology of China

Professional Experience

Mr. Yiming has developed a neural network-driven detection system for analyzing long afterglow images of serum amyloid A (SAA), improving point-of-care testing with high accuracy.

๐Ÿ”ฌ Research Experience

  • Biosensor technology
  • ย Image processing in biomedical applications
  • Neural network-driven analysis

 

Publications

A general approach for inferring the ancestry of recent ancestors of an admixed individual

  • Authors: Yiming Zhang, Haotian Zhang, Yufeng Wu
  • Journal: Proceedings of the National Academy of Sciences
  • Year: 2024

Joint inference of ancestry and genotypes of parents from children

  • Authors: Yiming Zhang, Yufeng Wu
  • Journal: iScience
  • Year: 2022

Inferring the ancestry of parents and grandparents from genetic data

  • Authors: Jingwen Pei, Sergei L. Kosakovsky Pond, Yiming Zhang, Rasmus Nielsen, Yufeng Wu
  • Journal: PLOS Computational Biology
  • Year: 2020

Energy-aware page replacement and consistency guarantee for hybrid NVMโ€“DRAM memory systems

  • Authors: Zhan, J., Zhang, Y., Jiang, W., Yang, J., Li, L., Li, Y.
  • Journal: Journal of Systems Architecture
  • Year: 2018

Data management for automotive ECUs based on Hybrid RAM-NVM main memory

  • Authors: Yang, J., Zhan, J., Zhang, Y., Jiang, W., Li, L., Zhu, L., Tang, X.
  • Journal: Proceedings of the 13th International Conference on Embedded Software and System (ICESS 2016)
  • Year: 2017

Dr. Raandhir Singh Baghel | Multi-Object Tracking | Best Researcher Award

๐Ÿ‘ฉโ€๐Ÿซ Teaching Experience

  • Associate Professorย at Poornima University, Jaipur (2022 – Present)
  • Assistant Professorย at Poornima University, Jaipur (Jun 2018 – Present)
  • Assistant Professorย at Pratap Institute of Technology and Science, Sikar (Oct 2012 – Dec 2017)
  • Center Superintendentย for Rajasthan Technical University Examinations (Apr 2014 – Sep 2017)
  • Coordinatorย for B.Tech. First-Year (Jul 2016 – Dec 2017)
  • Lecturerย at Lakshmi Narain Academy of Technology, Gwalior (2010 – 2011)

Ph.D. Scholar Supervised

  • Bhoodrev Kharraย (Thesis: โ€œHealth-Related Physical Fitness and Anthropometric Measurement Status of School Studentsโ€)

๐Ÿ”ฌ Research Experience

Five years as a full-time Research Scholar (Ph.D.) at Jiwaji University, Gwalior (2008 – 2013)

ย ๐Ÿ“š Educational Qualifications

  • Ph.D.ย in Applied Mathematics, Jiwaji University, Gwalior (2013)
  • M.Sc.ย in Mathematics, Jiwaji University, Gwalior (2007)
  • B.Ed.ย in Science, Jiwaji University, Gwalior (2005)
  • B.Sc.ย in Mathematics, Jiwaji University, Gwalior (2001)

๐Ÿ’ป Computer Proficiency

  • Operating System: Windows
  • Software: Matlab, Mathematica, LaTeX, MS Office
  • Programming Language: C

 

Publications

Rainfall Seasonality Changes over India Based on Changes in the Climate

  • Authors: Randhir Singh Baghel, Govind Prasad Sahu
  • Journal: International Journal of Geological and Environmental Engineering
  • Year: 2024

A Complex Dynamical Study of Spatiotemporal Plankton-Fish Interaction with Effects of Harvesting

  • Authors: Surabhi Pareek, Randhir Singh Baghel
  • Journal: Iranian Journal of Science
  • Year: 2024

Influence of nanoparticles on the spatiotemporal dynamics of phytoplankton-zooplankton interaction system

  • Authors: Surabhi Pareek, Randhir Singh Baghel
  • Journal: International Journal of Biomathematics
  • Year: 2024

Unveiling the Mathematical Essence of Machine Learning: A Comprehensive Exploration

  • Authors: Randhir Singh Baghel
  • Journal: International Journal of Mathematical and Computational Sciences
  • Year: 2024

Jeffery slip fluid flow with the magnetic dipole effect over a melting or permeable linearly stretching sheet

  • Authors: Krishna Agarwal, Randhir Singh Baghel, Amit Parmar, Amit Dadheech
  • Journal: International Journal of Applied and Computational Mathematics
  • Year: 2024

Dr. Sunjung Kim Thao | Vision and Language | Best Innovation Award

Dr. Sunjung Kim Thao | Vision and Language | Best Innovation Award

Doctorate at University of Central Arkansas, United States

๐Ÿ‘จโ€๐ŸŽ“ Profiles

Scopus

Education

  • Ph.D. in Speech Language Hearing Sciences, University of Florida (2012)
  • M.A. in Speech Language Pathology, Ewha Womenโ€™s University, Korea (2005)
  • B.A. in Psychology, Ewha Womenโ€™s University, Korea (2003)

๐Ÿฅ Clinical Experience

Speech-Language Pathologist at Kim Wha Soo Speech-Language Clinic, Seoul, Korea (2005-2007)

๐Ÿ”ฌ Research Interests

Dr. Thaoโ€™s research focuses on enhancing language and literacy skills in children, particularly those with reading difficulties. Her studies promote inclusive education and community engagement through innovative service-learning projects.

๐Ÿ† Honors & Awards

  • Emerging Dyslexia Researcher Award, International Dyslexia Association (2017)
  • Graduate Research Fellowship, University of Florida (2011-2012)
  • Certificate of Achievement for Outstanding Academic Accomplishment, University of Florida (2010)

๐ŸŒ Professional Affiliations

  • Licensed Speech-Language Pathologist, Arkansas
  • Certification of Clinical Competence in Speech Language Pathology, ASHA
  • Member of the Asia Pacific Society of Speech, Language and Hearing (2022-Present)

 

Publications

Multimodal learning: How task types affect learning of students with reading difficulties

  • Authors: Thao, S.K., Lombardino, L.J., Tibi, S., Gleghorn, A.
  • Journal: Clinical Archives of Communication Disorders
  • Year: 2022

Indexing effects of phonological representational strength on rapid naming using rime neighborhood density

  • Authors: Wiseheart, R., Kim, S., Lombardino, L.J., Altmann, L.J.P.
  • Journal: Applied Psycholinguistics
  • Year: 2019

Multimedia learning: Contributions of learnersโ€™ verbal abilities and presentation modalities

  • Authors: Kim, S., Lombardino, L.J.
  • Journal: International Journal of Learning, Teaching and Educational Research
  • Year: 2019

Exploring Text and Icon Graph Interpretation in Students with Dyslexia: An Eye-tracking Study

  • Authors: Kim, S., Wiseheart, R.
  • Journal: Dyslexia
  • Year: 2017

Simple sentence reading and specific cognitive functions in college students with dyslexia: An eye-tracking study

  • Authors: Kim, S., Lombardino, L.J.
  • Journal: Clinical Archives of Communication Disorders
  • Year: 2016

Assoc Prof Dr. Judit Bayer | Emerging Trends | Best Researcher Award

Assoc Prof Dr. Judit Bayer | Emerging Trends | Best Researcher Award

Judit Bayer at Budapest Business University, Germany

Profiles

Scopus

Orcid

Summary

Assoc. Prof. Dr. Judit Anna Bayer is a leading expert in media law and policy research, focusing on disinformation, freedom of expression, and strategic litigation. With a strong commitment to academic excellence and practical impact, she contributes significantly to European legal frameworks.

Education

  • LLM, University of Mรผnster (Expected 2024)
  • PhD, Eรถtvรถs Lorรกnd University, Hungary (2005)
  • Certificate, Doctoral Support Program, Central European University (2002)
  • Legal Degree, Eรถtvรถs Lorรกnd University, Hungary (1998)

๐Ÿ’ผ Professional Experience

  • Kantar Belgium: Participant, “Monitoring Framework for the Code of Practice on Disinformation” (2023-2024)
  • European Parliament: Project Leader, “The Fight Against Disinformation” (2021); “Disinformation Impact on Rule of Law” (2020-2021)
  • European Commission: Project Leader, “Strategic Lawsuits Against Public Participation (SLAPP)” (2020-2021)
  • University of Mรผnster: Co-teaching AI, Human Rights, and Ethics (2020-present)
  • Budapest Business University: Associate Professor, Faculty of International Relations (2016-2020)

๐Ÿ”ฌ Research Interests

  • Disinformation and its impact on democracy
  • Media law and freedom of expression
  • Strategic litigation and public participation
  • AI and ethics in legal contexts

๐Ÿ› ๏ธ Skills

  • Scientific project coordination
  • Policy research and consulting
  • Editing academic texts
  • Leadership in academic initiatives

 

Publications

The European response to Russian disinformation in the context of the war in Ukraine

  • Authors: Judit Bayer
  • Journal: Hungarian Journal of Legal Studies
  • Year: 2024

The place of content ranking algorithms on the AI risk spectrum

  • Authors: Judit Bayer
  • Journal: Telecommunications Policy
  • Year: 2024

Procedural rights as safeguard for human rights in platform regulation

  • Authors: Judit Bayer
  • Journal: Policy & Internet
  • Year: 2022

A Public Health Research Agenda for Managing Infodemics: Methods and Results of the First WHO Infodemiology Conference

  • Authors: Neville Calleja; AbdelHalim AbdAllah; Neetu Abad; Naglaa Ahmed; Dolores Albarracin; Elena Altieri; Julienne N Anoko; Ruben Arcos; Arina Anis Azlan; Judit Bayer et al.
  • Journal: JMIR Infodemiology
  • Year: 2021

High-impact hate speech by persons of authority: A lower threshold needed?

  • Authors: Judit Bayer
  • Journal: Hungarian Journal of Legal Studies
  • Year: 2021

Assist Prof Dr. Anna Szczerba-Turek | Surveillance | Research Impact Award

Assist Prof Dr. Anna Szczerba-Turek | Surveillance | Research Impact Award

Anna Szczerba-Turek at University of Warmia and Mazury, Poland

Profiles

Scopus

Orcid

Summary

Assist Prof Dr. Anna Szczerba-Turek is a dedicated researcher with expertise in microbiology, zoonotic diseases, and veterinary sciences. Based at the University of Warmia & Mazury since 2004, she has significantly contributed to the field with research on pathogenic Escherichia coliย and its impact on wildlife and humans. Her recent studies focus on understanding zoonotic transmission, particularly Shiga toxin-producing strains. Alongside her research, she is highly active in peer reviewing manuscripts, reflecting her commitment to advancing the scientific community.

Education

Assist Prof Dr. Anna Szczerba-Turek earned her PhD in Epizootiology from the University of Warmia and Mazury in Olsztyn, Faculty of Veterinary Medicine, located in Olsztyn, Poland. Her doctoral studies spanned from October 1, 2004, to January 21, 2009. Prior to this, she obtained her MSc in Biotechnology from the Intercollegiate Faculty of Biotechnology of the University of Gdansk and the Medical University of Gdansk (IFB UG & MUG) in Gdaล„sk, Poland, where she studied from October 1, 1997, to June 17, 2002.

๐Ÿ’ผ Professional Experience

  • University of Warmia & Mazury (2004โ€“present)
    Researcher focused on microbiology, zoonotic diseases, and veterinary sciences.

๐Ÿ”ฌ Research Interests

  • Microbiology and Zoonotic Diseases
    Concentrating onย Escherichia coliย strains, particularly those with pathogenic potential like Shiga toxin-producingย Escherichia coliย (STEC) from wildlife such as wild boars, deer, and foxes.
  • Food Safety and Veterinary Sciences
    Evaluating the prevalence of zoonotic bacteria in livestock and companion animals, contributing to studies in food microbiology and antibiotic resistance

 

Publications

Prevalence of Aleutian Mink Disease Virus (AMDV) in Free-Ranging American Mink from Biebrza and Narew National Parks (Poland)โ€”An Epidemiological Concern

  • Authors: Przywara, K., Siemionek, J., Jakubowski, T., Konczyk-Kmiecik, K., Szczerba-Turek, A.
  • Journal: Animals
  • Year: 2024

Shiga Toxin-Producing Escherichia coli in Faecal Samples from Wild Ruminants

  • Authors: Szczerba-Turek, A., Chierchia, F., Socha, P., Szweda, W.
  • Journal: Animals
  • Year: 2023

The Prevalence of Salmonella spp. in Two Arctic Fox (Alopex lagopus) Farms in Poland

  • Authors: Siemionek, J., Przywara, K., Szczerba-Turek, A.
  • Journal: Animals
  • Year: 2020

Fallow Deer (Dama dama) as a Reservoir of Shiga Toxin-Producing Escherichia coli (STEC)

  • Authors: Szczerba-Turek, A., Kordas, B.
  • Journal: Animals
  • Year: 2020

Shiga Toxin-Producing Escherichia coli Isolates from Red Deer (Cervus elaphus), Roe Deer (Capreolus capreolus) and Fallow Deer (Dama dama) in Poland

  • Authors: Szczerba-Turek, A., Siemionek, J., Socha, P., Lipczyล„ska-Ilczuk, K., Szweda, W.
  • Journal: Food Microbiology
  • Year: 2020

Ms. Feride Secil Yildirim | Deep Learning | Best Researcher Award

Ms. Feride Secil Yildirim | Deep Learning | Best Researcher Award

Feride Secil Yildirim at Karadeniz Technical University, Turkey

Profiles

Orcid

Research Gate

Summary

Passionate about Geomatics Engineering, Ms. Feride Secil Yildirim is a PhD student at Karadeniz Technical University, specializing in photogrammetry and advanced deep learning techniques.

Education

  • Bachelorโ€™s Degree (2017-2021): Geomatics Engineering, Karadeniz Technical University (Graduated with High Honors)
  • Masterโ€™s Degree (2022-2024): Geomatics Engineering, Karadeniz Technical University (Specialization in Photogrammetry)
  • Doctoral Studies (2024-Present): Geomatics Engineering, Karadeniz Technical University

๐Ÿ’ผ Professional Experience

Ms. Feride has completed four research projects and is currently involved in two ongoing projects, including a TรœBฤฐTAK 1001/2024 initiative focused on developing a new algorithm for automatic adjustment of building boundary geometries from point cloud data.ย 

๐Ÿ”ฌ Research Interests

Her primary research interests encompass deep learning, image processing, and machine learning, with notable publications in Q1 journals, including her work on “FwSVM-Net: A Novel Deep Learning-Based Automatic Building Extraction from Aerial Images.” ๐Ÿ”

 

Publication

FwSVM-Net: A novel deep learning-based automatic building extraction from aerial images

  • Authors: Feride Secil Yildirim, Fevzi Karsli, Murat Bahadir, Merve Yildirim
  • Journal: Journal of Building Engineering
  • Year: 2024

Dr. Shiliang Wang | Benchmark Datasets | Best Scholar Award

Dr. Shiliang Wang | Benchmark Datasets | Best Scholar Award

Doctorate at Xi`an University of Architecture and Technology, China

Profile

Orcid

Summary

Dr. Wang Shiliang is an accomplished researcher and educator specializing in Performance-Driven Intelligent Generative Design for buildings. His work integrates machine learning, big data, and urban health, focusing on creating innovative solutions for architectural design. Dr. Wang has published impactful research and mentored award-winning student projects, earning recognition for his contributions to the architectural field.

Education

  • Bachelor’s Degree: Jinan University, Jinan (2009-2014)
  • Master’s Degree: Xi’an University of Architecture and Technology, Xi’an (2014-2017)
  • PhD Degree: Xi’an University of Architecture and Technology, Xi’an (2018-Present)

๐Ÿ’ผ Professional Experience

  • Published SCI and conference papers on climate-adaptive shading systems, thermal comfort, and urban-scale assessments
  • Authored three utility model patents, including innovations in ventilation systems and adjustable shading windows
  • Guided award-winning student architectural design projects in prestigious national and international competitions

ย  ๐Ÿ†Teaching Experience and Achievements

  • “Ancient City Pacemaker”: First Prize, UIA Hope Cup 2020 International Student Architectural Design Competition
  • “Desert Pearl”: First Prize, 2022 Tianhua Cup ART&TECH National Student Architectural Design Competition
  • “Inside and Outside the City Wall”: Excellent Award, 2022 10th “Tianzuo Award” International Student Architectural Design Competition
  • “Bypass Surgery: Heart Bridge”: Finalist, 2022 eVolo Skyscraper Competition

๐Ÿ”ฌ Research Interests

  • Machine Learning for architectural design
  • Intelligent Generation and performance-driven solutions
  • Big Data applications in urban health
  • Enhancing thermal comfort and cognitive performance in built environments

 

Publication

Coupled Impact of Points of Interest and Thermal Environment on Outdoor Human Behavior Using Visual Intelligence

  • Authors: Shiliang Wang, Qun Zhang, Peng Gao, Chenglin Wang, Jiang An, Lan Wang
  • Journal: Buildings
  • Year: 2024

Dr. Xiaochen Hao | Chemical Industry | Best Researcher Award

Summary

Dr. Xiaochen Hao is a distinguished professor in the Department of Instrument Science and Engineering at Yanshan University. Recognized as a young top-notch talent in Hebei Province, he has led multiple significant research projects, securing funding from the National Natural Science Foundation of China and other prestigious grants.

Education

Dr. Hao holds a doctoral degree in his field, demonstrating a strong academic foundation that supports his research initiatives.

๐Ÿ’ผ Professional Experience

  • Professor and doctoral supervisor, overseeing numerous funded research projects, including three National Natural Science Foundation projects and various local initiatives.
  • Led 18 collaborative projects with industry partners.

๐Ÿ”ฌ Research Interests

  • Instrumentation and automation
  • Energy efficiency in industrial processes
  • Predictive modeling and data analysis

 

Publications

Collaborative optimization decision making of cement grinding process operational indicators considering dual dynamic problem

  • Authors: Yonghang Li; Tianqi Yang; Xiaochen Hao; Jieguang Yang; Quanwei Sun
  • Journal: Applied Soft Computing
  • Year: 2024

Distributed optimization game algorithm to improve energy efficiency for multi-radio multi-channel wireless sensor network

  • Authors: Ning Yao; Bai Chen; Jiaojiao Wang; Liyuan Wang; Xiaochen Hao
  • Journal: Transactions of the Institute of Measurement and Control
  • Year: 2024

Feature Constrained Encoding Generative Adversarial Prediction Network for Quality Measurement Modeling Under Multitime Scales Data Imbalance In Process Industry

  • Authors: Gaolu Huang; Xiaochen Hao; Yifu Zhang; Jinbo Liu; Junze Jiao
  • Journal: IEEE Sensors Journal
  • Year: 2024

Monitoring method and application of transition process with nonstationary conditions based on stability factor partitioning and RSFA

  • Authors: Zhipeng Zhang; Libin Wei; Xiaochen Hao; Yunzhi Wang; Yuming Li; Jiahao Hu
  • Journal: Journal of Process Control
  • Year: 2024

Multi-index control strategy from cement calcination denitration system: a model predictive control method for combined control of nitrogen oxide and ammonia escape

  • Authors: Xiaochen Hao; Xinqiang Wang; Xing Wang; Yukun Ji
  • Journal: Environmental Science and Pollution Research
  • Year: 2024