Christina-Kalliopi Chatzimichail | Cost Evaluation | Best Researcher Award

Ms. Christina-Kalliopi Chatzimichail | Cost Evaluation | Best Researcher Award

Ms. Christina-Kalliopi Chatzimichail | Aristotle University of Thessaloniki | Greece

Ms. Christina-Kalliopi Chatzimichail has established herself as a distinguished researcher through her significant contributions to applied mathematics, healthcare modeling, and environmental sustainability. Her 2024 publication, “Cost Evaluation for Capacity Planning Based on Patients’ Pathways via Semi-Markov Reward Modelling” in Mathematics (MDPI), presents a sophisticated quantitative framework for optimizing healthcare resource allocation. By applying Semi-Markov reward modeling, the study rigorously analyzes patient pathways, enabling more accurate capacity planning and cost evaluation, which is crucial for improving operational efficiency in healthcare systems. This work reflects her proficiency in advanced mathematical modeling, stochastic processes, and systems analysis, with practical implications for hospital management and policy planning. In addition, her 2023 research, “Measures and Policies for Reducing PM Exceedances through the Use of Air Quality Modeling: The Case of Thessaloniki, Greece” published in Sustainability (MDPI), demonstrates her interdisciplinary approach by integrating environmental modeling with policy evaluation. This study provides evidence-based insights into reducing particulate matter exceedances through effective regulatory measures, highlighting her commitment to addressing pressing societal challenges. Collectively, these publications illustrate Ms. Chatzimichail’s ability to combine theoretical rigor with practical applications, spanning healthcare optimization and environmental management. Her research reflects innovation, analytical depth, and a strong societal impact, marking her as a highly suitable candidate for the Best Researcher Award and demonstrating her potential to influence both academic scholarship and real-world policy decisions.

Profile: ORCID

Featured Publications

Chatzimichail, C., Kolias, P., & Papadopoulou, A. (2024). Cost evaluation for capacity planning based on patients’ pathways via semi-Markov reward modelling. Mathematics, 12(10), 1430.

Progiou, A., Liora, N., Sebos, I., Chatzimichail, C., & Melas, D. (2023). Measures and policies for reducing PM exceedances through the use of air quality modeling: The case of Thessaloniki, Greece. Sustainability, 15(2), 930.

Prof. Dr. Yongchang Chen | Transformational Awards | Best Researcher Award

Prof. Dr. Yongchang Chen | Transformational Awards | Best Researcher Award

Prof. Dr. Yongchang Chen, Institute of Primate Translational Medicine/Kunming University of Science and Technology, China

Dr. Yongchang Chen is a prominent researcher specializing in developmental biology and gene therapy. He has contributed significantly to understanding embryogenesis and muscular dystrophy, with a focus on innovative therapeutic strategies. Dr. Chen’s recent work includes studying ex utero monkey embryogenesis and developing effective modulation techniques for gene expression through antisense circular RNAs. He has published numerous articles in reputable journals, advancing knowledge in neural tube development, CRISPR technology, and potential treatments for Duchenne muscular dystrophy. His research is characterized by a commitment to translating basic science into therapeutic applications, demonstrating a profound impact on the field.

Professional Profile:

Orcid

Suitability Summary for Yongchang Chen, Ph.D. for the Best Researcher Award

ongchang Chen’s dedication to advancing neuroscience through innovative research and model development makes him an exemplary candidate for the Best Researcher Award. His groundbreaking work in NHP models for CNS diseases exemplifies the intersection of basic research and translational medicine, positioning him as a leader in the field. Recognizing his contributions will not only honor his individual achievements but also inspire further advancements in neurological research.

🎓Education:

Dr. Yongchang Chen has an extensive academic background, beginning with his Bachelor’s and Master’s degrees from Gansu Agricultural University, where he studied from 1996 to 2003. He then pursued his doctoral studies at the Kunming Institute of Zoology, Chinese Academy of Sciences, earning his Doctor’s degree in 2010. Following his graduation, Dr. Chen held positions as an Assistant and Associate Professor at the Kunming Institute of Zoology from 2003 to 2014. Since 2014, he has been a Professor at the Institute of Primate Translational Medicine at Kunming University of Science and Technology, contributing significantly to research in developmental biology and gene therapy.

🏢Work Experience:

Dr. Yongchang Chen has a robust professional background in academia and research. Since 2014, he has served as a Professor at the Institute of Primate Translational Medicine at Kunming University of Science and Technology. Prior to this role, from 2003 to 2014, he held positions as both an Assistant Professor and an Associate Professor at the Kunming Institute of Zoology, Chinese Academy of Sciences. His academic journey began with his Doctor’s degree obtained at the same institute from 2006 to 2010, following his Bachelor’s and Master’s degrees from Gansu Agricultural University, which he completed between 1996 and 2003. This extensive experience has positioned Dr. Chen as a prominent figure in the field of developmental biology and gene therapy.

Publication Top Notes:

  • “Ex utero monkey embryogenesis from blastocyst to early organogenesis”
  • “Efficient Modulation of Exon Skipping via Antisense Circular RNAs”
  • “Progress in Modeling Neural Tube Development and Defects by Organoid Reconstruction”
  • “Promising therapeutic approaches of utrophin replacing dystrophin in the treatment of Duchenne muscular dystrophy”
  • “No off-target mutations in functional genome regions of a CRISPR/Cas9-generated monkey model of muscular dystrophy”

 

 

 

Dr. Xiao Tan | Engineering | Best Researcher Award

Dr. Xiao Tan : Engineering

Dr. Xiao Tan, Stevens Institute of Technology, United States

✨ Dr. Xiao Tan is a dedicated professional in the field of smart infrastructure, currently serving as a Research Associate at the Smart Infrastructure Lab at Stevens Institute of Technology from May 2023 to November 2023. In this role, Dr. Tan actively contributes to diverse research projects and excels in report writing. Previously, as the Lab Manager from September 2021 to April 2023, Dr. Tan efficiently oversaw lab operations, managing and maintaining equipment for experimental testing. With expertise in drafting comprehensive reports, Dr. Tan played a key role in various research endeavors. Beyond the lab, Dr. Tan demonstrated leadership by spearheading training sessions for students, conducting experiments, and offering engaging lab tours for visitors. 🌐🔬

🎓Education : 

📚 Dr. Xiao Tan is a distinguished scholar in the realm of civil engineering with a specialization in structural engineering. Holding a Ph.D. in Civil Engineering (Structural Engineering) from Stevens Institute of Technology, Hoboken, New Jersey, United States (08/2019–05/2023), Dr. Tan achieved an outstanding GPA of 4.0/4.0 under the guidance of Prof. Yi Bao. Prior to this, Dr. Tan earned a Master’s degree in Civil Engineering (Bridge & Tunnel Engineering) from Southeast University, Nanjing, Jiangsu, China (09/2016–06/2019) with a commendable GPA of 3.8/4.0, working closely with Prof. Wen-Wei Wang. With a passion for advancing the field, Dr. Tan’s academic journey reflects a commitment to excellence in structural engineering. 🏗️📚

🌐 Professional Profiles : 

Scopus

Google Scholar

ORCID

🏆 Awards and Honors :

🌍 Dr. Xiao Tan’s academic prowess is underscored by a string of prestigious honors and awards, attesting to a remarkable dedication to research and excellence. In May 2023, Dr. Tan was bestowed with the esteemed Richard I. Hires Research Award at Stevens Institute of Technology, a recognition that underscores the impact of Dr. Tan’s contributions to the research landscape. Further highlighting scholarly achievements, Dr. Tan received the Graduate Research Assistant Fellowship at Stevens Institute of Technology for the period spanning from September 2022 to April 2023. Notably, Dr. Tan was also honored with the Chinese Government Award for Outstanding Self-Financed Students Abroad from the China Scholarship Council in August 2022, a testament to international acclaim for academic achievement. These accolades reflect Dr. Tan’s commitment to advancing knowledge in civil engineering and structural engineering. 🏆🌍

🧠 Research Interests 🔬🌐 :

🧠 Dr. Xiao Tan is a visionary researcher with a diverse set of interests at the intersection of civil engineering and cutting-edge technology. His primary focus lies in the realm of Intelligent and Resilient Urban Lifelines, where he strives to advance the prevention and mitigation of impacts on the safety and functionality of pipelines, ensuring the robustness of vital urban infrastructure. 🔬 Leveraging state-of-the-art technology, Dr. Tan delves into the realm of Distributed Fiber Optic Sensors, pioneering the monitoring and assessment of infrastructural behaviors. In the realm of Bridge Engineering, he passionately contributes to the health monitoring and structural retrofits, enriching our understanding of bridge dynamics. 🌉 Driven by innovation, Dr. Tan’s research extends to Structural Applications of Advanced Materials in Civil Infrastructures, where he engages in simulation, mechanical analysis, and experimental testing for high-performance Fiber-Reinforced Cementitious Composites (HPFRCC), Fiber Reinforced Polymer (FRP), and Shape Memory Alloy (SMA). His multifaceted research portfolio reflects a commitment to advancing the resilience and intelligence of critical urban infrastructure. 🌐

📚 Publication Impact and Citations : 

Scopus Metrics:

  • 📝 Publications: 16 documents indexed in Scopus.
  • 📊 Citations: A total of 337 citations for his publications, reflecting the widespread impact and recognition of Dr. Xiao Tan’s research within the academic community.

Google Scholar Metrics:

  • All Time:
    • Citations: 386 📖
    • h-index: 10 📊
    • i10-index: 11 🔍
  • Since 2018:
    • Citations: 386 📖
    • h-index: 10 📊
    • i10-index: 11 🔍

👨‍🏫 A prolific researcher with significant impact and contributions in the field, as evidenced by citation metrics. 🌐🔬

Publications ( Top Note ) :

1.  Measurement and visualization of strains and cracks in CFRP post-tensioned fiber reinforced concrete beams using distributed fiber optic sensors

Published Year: 2021, Journal: Automation in Construction, Cited By: 67

2.  Measuring crack width using a distributed fiber optic sensor based on optical frequency domain reflectometry

Published Year: 2021, Journal: Measurement, Cited By: 52

3.  Strain transfer effect in distributed fiber optic sensors under an arbitrary field

Published Year: 2021, Journal: Automation in Construction, Cited By: 51

4.  Monitoring corrosion of steel bars in reinforced concrete based on helix strains measured from a distributed fiber optic sensor

Published Year: 2020, Journal: Engineering Structures, Cited By: 51

5.  Detection, visualization, quantification, and warning of pipe corrosion using distributed fiber optic sensors

Published Year: 2021, Journal: Automation in Construction, Cited By: 38

6.  Strain transfer effect on measurements with distributed fiber optic sensors

Published Year: 2022, Journal: Automation in Construction, Cited By: 25

7.  Experimental study and mechanics model of ECC-to-concrete bond interface under tensile loading

Published Year: 2022, Journal: Composite Structures, Cited By: 21

8.  Recycling waste glass aggregate in concrete: Mitigation of alkali-silica reaction (ASR) by carbonation curing

Published Year: 2022, Journal: Journal of Cleaner Production, Cited By: 15

9.  Inverse analysis of strain distributions sensed by distributed fiber optic sensors subject to strain transfer

Published Year: 2022, Journal: Mechanical Systems and Signal Processing, Cited By: 15

10.  Buckling detection and shape reconstruction using strain distributions measured from a distributed fiber optic sensor

Published Year: 2022, Journal: Measurement, Cited By: 14