Yuxiao Gao | Big Data Science and Technology | Best Researcher Award

Ms. Yuxiao Gao | Big Data Science and Technology | Best Researcher Award

Taiyuan University of Technology, China

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Early Academic Pursuits

Yuxiao Gao is currently an undergraduate student at Taiyuan University of Technology, majoring in Data Science and Big Data Technology. With a strong academic inclination toward cutting-edge technologies, Yuxiao has already made significant strides in the research community, especially in areas intersecting artificial intelligence and healthcare. His journey into research began with a deep interest in machine learning and its practical applications in the medical domain.

Professional Endeavors

Despite being an undergraduate, Yuxiao has demonstrated academic maturity by publishing a review article in an SCI-indexed journal focusing on deep learning-based medical image segmentation. He also showcased his work at a CCF-C level conference, presenting a novel segmentation framework, emphasizing his capability to contribute at recognized academic platforms. His technical skillset includes Python, Java, PyTorch, and proficiency in Linux environments, positioning him as a competent data science researcher.

Contributions and Research Focus

Yuxiao's research is characterized by interdisciplinary innovation. His notable contributions include developing a knowledge graph for Chinese health policy using Natural Language Processing (NLP)tools and assessing policies quantitatively via the Policy Modeling Consistency (PMC) index. This integration of NLP with healthcare and policy evaluation demonstrates his unique capability to apply data-driven approaches to real-world problems, reflecting both depth and relevance in his academic endeavors.

Collaborations and Academic Influence

Yuxiao has collaborated with faculty members involved in medical imaging and health policy analytics, enriching his interdisciplinary experience. His ability to merge computer vision, NLP, and graph databases to solve complex healthcare issues has made him a valuable contributor to collaborative research teams, even at the early stages of his career.

Academic Citations and Publications

Yuxiao has authored one SCI-indexed review paper and presented at a CCF-C conference, with future publications expected as his research matures. Although citation metrics are currently not applicable due to the early stage of his career, his work’s relevance and potential for impact are evident through the quality of publication and platforms.

Technical Skills

His core technical proficiencies span deep learning frameworks (PyTorch), programming languages (Python, Java), and Linux-based systems. Additionally, Yuxiao has hands-on experience in knowledge graph construction, policy analysis using PMC modeling, and implementing medical image segmentation frameworks, marking his expertise across both structured and unstructured data domains.

Recognition and Award Preference

Given his strong foundation in research, innovation, and interdisciplinary applications of data science, Yuxiao Gao is a deserving candidate for the Best Undergraduate Researcher Award. His achievements, despite being in the early stage of his academic career, reflect both academic rigor and real-world impact.

Legacy and Future Contributions

Looking ahead, Yuxiao aims to expand his work inintelligent healthcare systems and policy informatics, striving to build solutions that bridge the gap between machine learning technologies and societal needs. His passion for integrating science, policy, and innovation is poised to shape meaningful outcomes in both academia and applied research domains.

Selected Publications

  • Title: A Review on Deep Learning-Based Medical Image Segmentation

  • Authors: Yuxiao Gao, [Co-author Names if any]

  • Journal: [Journal Name, e.g., IEEE Transactions on Medical Imaging]

  • Year: [Year, e.g., 2024]

Is this the exact published title?
If yes, we will proceed. If there’s any change or subtitle, please specify.

Please confirm the author list as it appears in the publication.
Is it:

  • Yuxiao Gao (sole author), or

  • Yuxiao Gao plus other co-authors (please list them)?

Please provide the full journal name where this review was published (SCI-indexed).
For example:

  • IEEE Transactions on Medical Imaging

  • Medical Image Analysis

  • Elsevier’s Journal of X
    etc.


Mr. Chibuzo Nwabufo Okwuosa | Fault Detection | Best Researcher Award

Mr. Chibuzo Nwabufo Okwuosa | Fault Detection | Best Researcher Award

Kumoh National Institute of Technology, South Korea.

Okwuosa Chibuzo Nwabufo is a Research Ph.D. Scholar at Kumoh National Institute of Technology πŸ‡°πŸ‡·, South Korea, specializing in Mechanical Engineering. With a strong foundation in machine learning, deep learning, and real-time fault diagnostics, his work emphasizes bridging theoretical innovation with industrial application. Chibuzo is passionate about Prognostics and Health Management (PHM), Explainable AI (XAI), and digital twin technologies, aiming to create smart, AI-driven maintenance systems for next-generation industries.

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πŸŽ“ Education

Chibuzo earned both his Master’s and is currently pursuing his Ph.D. in Mechanical Engineering from Kumoh National Institute of Technology, South Korea. His academic focus has been consistently rooted in intelligent fault diagnostics, predictive maintenance, and real-time monitoring technologies.

πŸ’Ό Experience

With over four completed and two ongoing research projects, Chibuzo has hands-on experience in both academia and industry. Notable projects include real-time diagnostics for diaphragm pumps, fault analysis in induction motors, and zinc phosphating coating processes. He has collaborated on industry-sponsored projects and led initiatives involving advanced data-driven solutions for predictive maintenance.

πŸ”¬ Research Interests

His key research domains include:

πŸ”§ Prognostics and Health Management (PHM)

πŸ€– Machine Learning & Deep Learning

🧠 Explainable AI (XAI)

🌐 Digital Twin Technologies

βš™οΈ Real-time Fault Diagnostics

πŸ† Awards & Grants

Chibuzo’s research has been supported by prestigious Korean government grants:

IITP Innovative Human Resource Development for Local Intellectualization

ITRC Program (MSIT, Korea)
These grants facilitated collaborations with industry leaders and funded cutting-edge research in diagnostics and manufacturing innovation.

πŸ“š Selected Publications

πŸ†• Optimizing Defect Detection on Glossy and Curved Surfaces Using Deep Learning and Advanced Imaging Systems

πŸ“… 2025-04-13 | Sensors
πŸ”— DOI: 10.3390/s25082449
πŸ‘¨β€πŸ”¬ Contributors: Joung-Hwan Yoon, Chibuzo Nwabufo Okwuosa, Nnamdi Chukwunweike Aronwora, Jang-Wook Hur
πŸ“Œ Application of deep learning and high-resolution imaging for defect detection on challenging industrial surfaces.


βš™οΈ A Spectral-Based Blade Fault Detection in Shot Blast Machines with XGBoost and Feature Importance

πŸ“… 2024-10-09 | Journal of Sensor and Actuator Networks
πŸ”— DOI: 10.3390/jsan13050064
πŸ‘¨β€πŸ”¬ Contributors: Joon-Hyuk Lee, Chibuzo Nwabufo Okwuosa, Baek Cheon Shin, Jang-Wook Hur
πŸ“Œ Fault detection in mechanical components using spectral features and XGBoost.


πŸ” Transformer Core Fault Diagnosis via Current Signal Analysis with Pearson Correlation Feature Selection

πŸ“… 2024-02-29 | Electronics
πŸ”— DOI: 10.3390/electronics13050926
πŸ‘¨β€πŸ”¬ Contributors: Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, Paul Michael Custodio, Jang-Wook Hur
πŸ“Œ Intelligent transformer fault diagnosis using statistical signal analysis and feature engineering.


⚑ Enhancing Transformer Core Fault Diagnosis and Classification through Hilbert Transform Analysis of Electric Current Signals

πŸ“… 2024-01-18 | Preprint
πŸ”— DOI: 10.20944/preprints202401.1371.v1
πŸ‘¨β€πŸ”¬ Contributors: Daryl Domingo, Akeem Bayo Kareem, Chibuzo Nwabufo Okwuosa, Paul Michael Custodio, Jang-Wook Hur
πŸ“Œ Preprint focusing on enhanced signal processing for electrical fault classification.


🧠 An Intelligent Hybrid Feature Selection Approach for SCIM Inter-Turn Fault Classification at Minor Load Conditions Using Supervised Learning

πŸ“… 2023 | IEEE Access
πŸ”— DOI: 10.1109/ACCESS.2023.3266865
πŸ‘¨β€πŸ”¬ Contributors: Chibuzo Nwabufo Okwuosa, Jang-Wook Hur
πŸ“Œ Machine learning-based fault classification in squirrel cage induction motors under low-load conditions.

 

 

 

Dr. Xiuling Wang | Molecular biology | Best Researcher Award

Dr. Xiuling Wang | Molecular biology | Best Researcher Award

Shandong University, China.

Dr. Xiuling Wang is a researcher at the State Key Laboratory of Microbial Technology, Shandong University. Her expertise lies in DNA editing technology, focusing on the mining, modification, and biosynthesis of microbial natural products. She completed her master’s and doctoral studies under Prof. Jun Fu at Shandong University, following her undergraduate research at Shandong Agricultural University under Prof. Binghai Du, where she investigated plant-rhizosphere growth-promoting bacteria.

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πŸ“š Education

Dr. Xiuling Wang holds a Ph.D. in Molecular Biology from Shandong University, where she further advanced her expertise in the biological sciences. She also earned a Master’s degree in Microbial Technology from Shandong University, deepening her understanding of the practical applications of microorganisms. Dr. Wang's academic journey began with a Bachelor's degree in Agricultural Sciences from Shandong Agricultural University, laying the foundation for her career in research. Her work focuses on the intersection of molecular biology, microbial technology, and agricultural sciences, contributing to advancements in these fields.

πŸ’Ό Experience

Dr. Xiuling Wang is a dedicated researcher at the State Key Laboratory of Microbial Technology, Shandong University, where she explores cutting-edge advancements in microbial science. She is also actively involved in the National Key Research & Development Program of China (2018YFA0900400), contributing to innovative research initiatives aimed at addressing critical scientific and industrial challenges. Her expertise in molecular biology and microbial technology positions her at the forefront of groundbreaking developments in these fields.

πŸ”¬ Research Interests

Molecular Biology

DNA Editing & Recombinant Systems

Microbial Natural Product Biosynthesis

Silent Gene Cluster Activation

πŸ† Awards & Achievements

Principal Investigator in a National Key Research & Development Program of China

Two China Invention Patents (Application No: 202411054594.4 & CN202411058039.9)

Discovered a novel lipopeptide (Plantariitin A) with anti-inflammatory properties

πŸ“„ Publications

A recombineering system for Bacillus subtilis based on the native phage recombinase pair YqaJ/YqaK
Q. Liu, R. Li, H. Shi, Y. Zhang, J. Fu, X. Wang, Engineering Microbiology, 2023.

Genomics-Driven Discovery of Plantariitin A, a New Lipopeptide in Burkholderia plantarii DSM9509
Xiuling Wang, Zhuo Zhang, Jun Fu, Ruijuan Li
Molecules, 2025, 30(4), 868
DOI: 10.3390/molecules30040868

 

 

Dr. MichaΕ‚ Hajos | Materials Engineering | Best Researcher Award

Dr. MichaΕ‚ Hajos | Materials Engineering | Best Researcher Award

University of Agriculture in Krakow, Poland.

Michal Hajos is a skilled academic and researcher currently working at the University of Agriculture in Krakow, Poland. With a strong foundation in metallurgy and extensive experience in industrial research, Hajos has dedicated his career to exploring innovative solutions in material science, combustion processes, and plant-based material research. He has worked on numerous industrial and academic projects, contributing significantly to both the research and development sectors. His research interests include the study of combustion and drying processes and the exploration of green methods for nanoparticle production.

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Education πŸŽ“

Dr. MichaΕ‚ Hajos holds a PhD in Metallurgy from AGH University in Krakow (2008–2014), with a dissertation on "Physicochemical parameters of the electrochemical process for the production of zinc oxide nanoparticles." He also earned a Master of Science in Metallurgy from the same institution (2002–2008), where his thesis focused on binders in molding sands. Additionally, he completed his Environmental Protection Technician qualification at ZespΓ³Ε‚ SzkΓ³Ε‚ Chemicznych in Krakow (1995–2000), researching the use of industrial waste as alternative fuels in the cement industry.

Work Experience πŸ’Ό

Dr. MichaΕ‚ Hajos is currently an Assistant at the University of Agriculture in Krakow (2022–present), focusing on research and teaching in mechanical engineering and agrophysics, with expertise in material science and thermodynamics. He served as Head of Executive at CBR Rock Master (2021–2022), overseeing R&D, production planning, and product certification. Prior to that, he was a Laboratory Analyst (2019–2021) at the same company, specializing in designing and testing prototypes for height safety systems. Dr. Hajos also worked as a Process Engineer at NYCZ Intertrade (2016–2018), leading nickel recovery processes from galvanic waste. Earlier, he contributed as a Research Assistant and Lecturer at AGH University of Science and Technology (2012–2015), designing measurement stands and conducting research for shale gas extraction projects.

Research Interests πŸ”¬

Dr. MichaΕ‚ Hajos focuses on the study of combustion and drying processes πŸ”₯πŸ’§, aiming to optimize energy efficiency and material properties.

Physico-Chemical Properties of Plant-Based Materials 🌿

He investigates the physico-chemical properties of plant-based materials, exploring sustainable alternatives for various industrial applications.

Green Nanoparticle Production πŸŒ±πŸ”¬

A significant aspect of his research is the development of green methods for nanoparticle production, striving to create eco-friendly technologies for the future.

Achievements πŸ†

Third Degree Award in the "Technician 2000" competition (2000)
For his thesis on alternative fuels for the cement industry.

Patent in Nickel Recovery Process (2014)
Involved in the patenting process for the method of manufacturing molds and cores in smelting technologies.

Multiple Conference Contributions (2008–2013)
Organized and participated in various national and international conferences, contributing to both research dissemination and academic development.

Selected Publications πŸ“š

Size Distribution of Zinc Oxide Nanoparticles Depending on the Temperature of Electrochemical Synthesis
Hajos, M., Starowicz, M., Brzychczyk, B., Basista, G., Francik, S.
Materials, 2025, 18(2), 458
Focus: This study investigates how the temperature during electrochemical synthesis affects the size distribution of zinc oxide nanoparticles.

Prediction of Brake Pad Wear of Trucks Transporting Oversize Loads Based on the Number of Drivers’ Braking and the Load Level of the Trucksβ€”Multiple Regression Models
Basista, G., Hajos, M., Francik, S., Pedryc, N.
Applied Sciences (Switzerland), 2024, 14(13), 5408
Focus: This article uses multiple regression models to predict brake pad wear in trucks transporting oversize loads.

Citations: 1

Modeling the Drying Process of Onion Slices Using Artificial Neural Networks
Francik, S., ŁapczyΕ„ska-Kordon, B., Hajos, M., ZawiΕ›lak, A., Francik, R.
Energies, 2024, 17(13), 3199
Focus: The study explores the application of artificial neural networks to model the drying process of onion slices.

Cohesion and Adhesion Properties of Modified Water Glass with Colloidal Solutions of ZnO
Smyksy, K., Kmita, A., Hutera, B., Hajos, M., Starowicz, M.
Metalurgija, 2014, 53(4), pp. 459–462
Focus: The article discusses the cohesion and adhesion properties of modified water glass combined with colloidal solutions of zinc oxide.

Citations: 5

Morphology and Structure of ZnO Nanoparticles Produced by Electrochemical Method
StypuΕ‚a, B., Kmita, A., Hajos, M.
Medziagotyra, 2014, 20(1), pp. 3–9
Focus: This paper examines the morphology and structure of zinc oxide nanoparticles produced through an electrochemical method.

 

 

Assoc. Prof. Dr. YiWei Li | Electrochemistry | Best Researcher Award

Assoc. Prof. Dr. YiWei Li | Electrochemistry | Best Researcher Award

Biology Institute, Qilu University of Technology (Shandong Academy of Sciences), China

Dr. Yiwei Li is a Researcher at Qilu University of Technology, China. He completed his Ph.D. at the Institute of Virology, Chinese Academy of Sciences. During the outbreak of COVID-19, he served as an expert member of the anti-epidemic efforts in Jinan city. Dr. Li has authored over 10 peer-reviewed research and review papers (as first or corresponding author) in the past five years. Additionally, he is the incorporator and vice-general manager of Guozhong Electronic Information (Shandong) Co. Ltd. His current research interests focus on analytical electrochemistry, environmental analysis, and biosensing technology.

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Education πŸŽ“

Dr. Yiwei Li earned his Ph.D. from the prestigious Institute of Virology, Chinese Academy of Sciences. His academic journey has provided him with deep expertise in areas that blend biology, electrochemistry, and environmental sciences, which form the foundation for his current research work.

Experience πŸ’Ό

Dr. Li has extensive professional experience as a researcher and as an expert member in public health initiatives, notably contributing to the COVID-19 anti-epidemic efforts in Jinan. In addition to his academic role, he is an incorporator and vice-general manager at Guozhong Electronic Information (Shandong) Co. Ltd., merging research with industry to drive innovation in electrochemistry and biosensing technology.

Research Interests πŸ”¬

Analytical Electrochemistry ⚑
Dr. Yiwei Li’s research in analytical electrochemistry focuses on developing advanced electrochemical methods for detecting various substances, including environmental pollutants. This area has significant implications for improving the accuracy and efficiency of environmental monitoring.

Environmental Analysis 🌍
His work in environmental analysis aims to create innovative techniques for detecting pollutants in different ecosystems. This research plays a vital role in addressing environmental contamination and contributing to sustainable solutions for pollution management.

Biosensing Technology 🧬
Dr. Li is dedicated to improving biosensing technologies, which are crucial for rapid and reliable detection of biological markers. His efforts are aimed at advancing diagnostic tools for public health, enabling early disease detection and monitoring environmental factors impacting human health.

Publications Top Notes πŸ“š

The value of electrochemical ratiometry in immunosensing: A systematic study. Biosensors and Bioelectronics, 2025,

Contributors: Jin Song, Rui Gong, Shibo Song, Ghulam Abbas, Yaohong Ma, Yiwei Li. Link

A graphene microelectrode array based microfluidic device for in situ continuous monitoring of biofilms. Nanoscale Advances, 2023

Contributors: Jin Song, Ashaq Ali, Yaohong Ma, Yiwei Li. Link

Electrochemical ratiometry: A new route towards bioaffinity-based in vitro diagnostics. Journal of Electroanalytical Chemistry, 2023-09

Contributors: Jin Song, Ghulam Abbas, Ashaq Ali, Yaohong Ma, Yiwei Li. Link

Facile strategy to construct porous CuO/CeO2 nanospheres with enhanced catalytic activity toward CO catalytic oxidation at low temperature. Applied Nanoscience, 2023-06

Contributors: Yunwei Wei, Yiwei Li, Dianfeng Han, Jian Liu, Shujuan Lyu, Chunhui Li, Yang Tan, Zhikang Wang, Jiafeng Yu. Link

Recent progress in the electrochemical quantification of nitrophenols. Journal of Electroanalytical Chemistry, 2023-06

Contributors: Shuo Wang, Yiwei Li, Jin Song, Jinheng Zhang, Yaohong Ma. Link

 

 

Dr. Eduardo Garcia Magraner | Fabrication | Best Researcher Award

Dr. Eduardo Garcia Magraner | Fabrication | Best Researcher Award

Ford EspaΓ±a SL, Spain

Dr. Eduardo GarcΓ­a Magraner is a seasoned expert in industrial engineering with over three decades of experience, primarily with Ford Motor Company. His work spans roles from maintenance supervision to manufacturing management, focusing on automation, predictive maintenance, and cybersecurity. A distinguished professional, he has been recognized globally for his contributions to enhancing manufacturing efficiency and safety. Dr. GarcΓ­a holds a Ph.D. in Computer Engineering and Industrial Production with an "Outstanding Cum Laude" distinction and has been instrumental in driving innovation and productivity in industrial settings.

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EducationπŸŽ“

Dr. GarcΓ­a’s educational journey is extensive and multidisciplinary, beginning with vocational training in Electrical Assistance and Telecommunications Electronics. His expertise further expanded at Ford Spain's Apprentice School, where he specialized as an Electromechanical Technician. He later pursued a degree as an Industrial Technical Engineer, followed by numerous certifications including Lean Six Sigma (Green Belt & Black Belt) and multiple postgraduate master's degrees in Occupational Risk Prevention, Integrated Management Systems, and Human Resources. His academic peak was attained with a Ph.D. in Computer Engineering and Industrial Production from University CEU Cardenal Herrera.

Professional ExperienceπŸ› οΈ

Dr. GarcΓ­a's illustrious career at Ford spans various technical and managerial positions. Starting as an Electromechanical Maintenance Operator, he ascended through the ranks to become Manufacturing Manager overseeing Body, Stamping, and Assembly plants. His expertise in equipment engineering, automation, and production supervision has contributed to significant improvements in efficiency and productivity at Ford’s Valencia facilities. In recent years, he has taken on critical roles in cybersecurity, serving as the Single Point of Contact (SPOC) for Ford’s Global Manufacturing Cybersecurity Program.

Research InterestsπŸ”¬

Predictive Maintenance & Industrial IoT: Developing real-time systems for enhanced equipment maintenance.

Automation and Robotics: Improving efficiency in production lines using AI-driven solutions.

Cybersecurity in Manufacturing: Ensuring robust security frameworks for industrial processes.

Energy Efficiency & Sustainable Manufacturing.

Awards & RecognitionsπŸ†

Henry Ford Technical Award for IIoT Predictive Maintenance (2019).

Global Manufacturing Technical Excellence Awards for innovative Industry 4.0 solutions (2020, 2022).

Best Industrial Paper Award at ICINCO (2020).

Presidents Health & Safety Global Award for safety innovations (2022).

Angel Herrera Award for the best national research (2024).

Advanced Factories of the Future Award for leadership in digital transformation (2021).

Publications Top NotesπŸ“š

I3oT (Industrializable Industrial Internet of Things) Tool for Continuous Improvement in Production Line Efficiency by Means of Sub-Bottleneck Detection Method Machines, 2024-10-29, Contributors: Javier Llopis, Antonio Lacasa, NicolΓ‘s MontΓ©s, Eduardo Garcia. Link

Survival 1.0: A Novel Autonomous Industrial Mobile Warehouse (AIMW) for Industrial Environments Applied Sciences, 2024-10-25, Contributors: Eduardo Garcia, Miguel MontaΓ±a, NicolΓ‘s MontΓ©s. Link

Virtual Sensor of Gravity Centres for Real-Time Condition Monitoring of an Industrial Stamping Press in the Automotive Industry Sensors, 2023-07-21, Contributors: Ivan Peinado-Asensi, NicolΓ‘s MontΓ©s, Eduardo GarcΓ­a. Link

Influence of Mechanical Failures of the Welding Gun on the Magnetic Field Generated in the Measurement of Misalignment
Book Chapter, 2022, Contributors: D. IbaΓ±ez, E. GarcΓ­a, J. Soret, J. Martos. Link

Mini-Sym 4.0: A Novel Simulation Tool to Calculate Real-Time Production Line Productivity Book Chapter, 2022, Contributors: E. Garcia, N. Montes, N. Rosillo, J. Llopis, A. Lacasa. Link

 

 

 

Dr. Alaa Sayed | Cardiovascular Medicine | Best Researcher Award

Dr. Alaa Sayed | Cardiovascular Medicine | Best Researcher Award

UPMC, United States.

Alaa A. Sayed is a dedicated physician and researcher specializing in internal medicine and regenerative medicine. Currently serving as the Chief Resident in Internal Medicine at UPMC Mercy Hospital in Pittsburgh, Pennsylvania, Alaa's career spans significant roles across clinical practice, research, and global health initiatives. Her work at institutions like the University of Pittsburgh and the World Health Organization reflects her commitment to patient safety and medical innovation.

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Education πŸŽ“

Alaa earned her MBBCh with honors from Beni Suef University, Egypt, demonstrating her early commitment to medical excellence. She further specialized in regenerative medicine by completing a Master’s degree in Novel Therapeutics from Imperial College London. Her research focused on pioneering cardiac stem cell therapies, reflecting her dedication to advancing innovative treatments in cardiovascular health.

Experience πŸ’Ό

Alaa brings a wealth of experience across various medical and research roles. She served as an Internal Medicine Chief Resident at UPMC Mercy Hospital, where she honed her clinical leadership skills. At the McGowan Institute for Regenerative Medicine, she contributed as a Research Fellow, deepening her expertise in regenerative therapies. Her career also includes a tenure as a Visiting Research Scholar at the University of Missouri and work as a Quality and Patient Safety Consultant with the World Health Organization. Alaa’s dedication to community health is evident in her role as a Primary Care Physician with the Egyptian Ministry of Health.

Research Interests πŸ”¬

Research Specializations: Regenerative Medicine, Patient Safety, and Quality Care
Alaa’s research is deeply rooted in advancing regenerative medicine, particularly focusing on patient safety and quality care. Her work emphasizes the potential of stem cell therapies, striving to bridge the gap between innovative treatments and effective clinical practices.

Technical Expertise: Dry and Wet Lab Techniques
Alaa is highly skilled in both dry and wet lab methodologies, with extensive experience in cultivating and manipulating stem cell cultures. Her technical acumen extends to bioinformatics and AI-driven analysis, where she applies advanced algorithms to enhance diagnostic and therapeutic outcomes.

AI in Healthcare: Deep Learning and Performance Validation
Alaa’s work frequently intersects with thematic analysis and the validation of deep learning models tailored for healthcare. Her research aims to optimize performance metrics of AI applications, ensuring accurate, reliable, and patient-centered results.

Awards πŸ† Β 

Alaa has been recognized for her excellence in patient safety research, and her contributions have been honored by organizations like the WHO and UPMC.

Her awards reflect her impact on improving patient care and advancing medical research.

Publications Top Notes πŸ“š

Resveratrol Supplementation in Patients with Non-Alcoholic Fatty Liver Disease: Systematic Review and Meta-Analysis
Authors: A. Elgebaly, I. A. I. Radwan, M. M. AboElnas, H. H. Ibrahim, M. F. M. Eltoomy,
Journal: Journal of Gastrointestinal & Liver Diseases, 26(1), 2017. Citations: 89. Link

Functional Microvascularization of Human Myocardium In Vitro
Authors: O. King, D. Cruz-Moreira, A. Sayed, F. Kermani, W. Kit-Anan, I. Sunyovszki,
Journal: Cell Reports Methods, 2(9), 2022. Citations: 24. Link

Implementation Research on Measuring Quality in Primary Care: Balancing National Needs with Learning from the Eastern Mediterranean Region
Authors: M. Letaief, L. R. Hirschhorn, S. Leatherman, A. A. Sayed, A. Sheikh, S. Siddiqi
Journal: International Journal for Quality in Health Care, 33(3), mzab119, 2021. Citations: 7. Link

Vascularized Myocardium-On-A-Chip: Excitation-Contraction Coupling in Perfused Cardiac Co-Cultures
Authors: O. King, D. Cruz-Moreira, S. W. Kit-Anan, A. Sayed, B. Wang, J. Fourre,
Journal: Biophysical Journal, 118(3), 410a, 2020. Citations: 2. Link

Long-Term Association of Low-Density Lipoprotein Subtypes with Coronary Artery Calcium Score and Atherosclerotic Cardiovascular Disease Events: Insights from HeartSCORE Study
Authors: A. Sayed, J. Swanson, K. Kip, E. K. Jesrani, S. Reis, A. Saeed
Journal: Journal of Clinical Lipidology. Link

 

 

 

 

Aamna Balouch | Chemistry | Best Researcher Award

Dr. Aamna Balouch | Chemistry | Best Researcher Award

Β Associate Professor of University of Sindh, Pakistan

Dr. Aamna Balouch πŸŽ“, Ph.D. in Analytical Chemistry, is an Associate Professor at the National Center of Excellence in Analytical Chemistry, University of Sindh, Pakistan 🏒. Her research focuses on nanomaterials, smart materials, and advanced analytical methods πŸ”¬. She has received numerous awards, including the Best Researcher Award (2019) and Research Productivity Award (2012) πŸ…. Dr. Balouch is a member of the American Chemical Society and the Chemical Society of Pakistan 🌍. She has also served as a visiting scientist in Turkey and completed postdoctoral research in Malaysia 🌟.

Professional Profile:

EducationπŸŽ“

Dr. Aamna Balouch πŸŽ“ holds a Ph.D. in Analytical Chemistry from the University of Sindh, Pakistan (2004-2010) πŸ“œ. She completed a short-term Ph.D. course at Wake Forest University, USA (2007) 🌎 and a postdoctorate in Nanotechnology at the University Kebangsaan Malaysia (2012-2014) πŸ§ͺ. Dr. Balouch was a visiting scientist at Istanbul Technical University, Turkey (2020-2021) 🌟. She also earned a Master of Science in Analytical Chemistry from the University of Sindh, securing the first position in her class (2002-2003) πŸ₯‡πŸ©ΊπŸŽ“

 

Professional Experience πŸ“š

Dr. Aamna Balouch πŸŽ“ is an Associate Professor at the National Center of Excellence in Analytical Chemistry, University of Sindh, Pakistan (2017-present) 🏒. She served as an Assistant Professor (2012-2017) and Lecturer (2009-2012) at the same institution. Her career began as a Research Associate (2004-2009) πŸ§ͺ. Dr. Balouch was a trainer for the DELPHI PROJECT on urban water demand management (2008-2011) 🌍. She has also held the role of a visiting scientist at Istanbul Technical University, Turkey (2020-2021) 🌟, contributing significantly to the field of analytical chemistry.

Research Interest πŸ”

Dr. Aamna Balouch’s research interests πŸ”¬ include the synthesis of nanomaterials (metals, metal oxides, metal chalcogenides) and their applications in catalyst and sensor technology πŸ§ͺ. She focuses on the development of novel smart materials and metal ion imprinted polymers for environmental analytical applications 🌍. Additionally, Dr. Balouch is dedicated to advancing chromatographic, spectrophotometric, and spectrofluorimetric methods for analyzing ionic analytes using non-toxic micellar media πŸ“Š. Her innovative work aims to improve the accuracy and efficiency of environmental monitoring and analytical chemistry techniques.

Award and HonorπŸ†

Dr. Aamna Balouch has received numerous awards and honors πŸ†, including the prestigious Best Researcher Award from the University of Sindh (2019) πŸ₯‡ and the Research Productivity Award from the Ministry of Science and Technology (2012) πŸ…. She was recognized for outstanding research in Science by the Australian Multicultural Charity and SAWF in 2021 🌟. Additionally, she earned a Ph.D. split program scholarship from the Higher Education Commission, Islamabad, for research at Wake Forest University, USA (2007) πŸŽ“. Dr. Balouch also secured first positions in both her M.Phil and M.Sc programs πŸ₯‡.

 

Research Skills🌟

 

Dr. Aamna Balouch possesses advanced research skills in nanomaterials synthesis, including metals, metal oxides, and metal chalcogenides πŸ§ͺ. She excels in fabricating smart materials and metal ion imprinted polymers for environmental applications 🌍. Dr. Balouch is proficient in developing chromatographic, spectrophotometric, and spectrofluorimetric methods for ionic analytes using non-toxic micellar media πŸ“Š. Her expertise extends to the design and application of nanosensors for detecting toxic ions and pollutants πŸ”. With a strong background in analytical chemistry, she continually enhances techniques to improve environmental monitoring and catalysis.

AchievementsπŸ†

  • Best Researcher Award (2019): University of Sindh πŸ₯‡.
  • Research Productivity Award (2012): Ministry of Science and Technology πŸ….
  • Outstanding Research in Science Award (2021): Australian Multicultural Charity and SAWF 🌟.
  • Ph.D. Split Program Scholarship (2007): Higher Education Commission, Islamabad, for research at Wake Forest University, USA πŸŽ“.
  • First Position in M.Phil and M.Sc Programs: University of Sindh πŸ₯‡.
  • Reviewer: 10 International and 1 National Chemistry Journals πŸ“š.

ProjectsπŸ’§πŸ”¬

  • Metal Ion Imprinted Polymers (MIIPs): Novel material for pre-concentration and separation of total arsenic in aqueous systems, funded by the Pakistan Science Foundation (2016-2018) πŸ’§πŸ”¬.
  • Postdoctoral Fellowship: Surfactant-assisted, shape-controlled synthesis of metal nanowires or nanorods and their application, funded by UKM, Malaysia (Completed) πŸ§ͺ🌟.

Publications πŸ“š

  • Changes in fatty acid composition in muscle of three farmed carp fish species (Labeo rohita, Cirrhinus mrigala, Catla catla) raised under the same conditions
    • Author, Year: NN Memon, FN Talpur, MI Bhanger, A Balouch (2011)
    • Citation: Food Chemistry 126 (2), 405-410 πŸŸπŸ”¬
  • A novel green synthesis and characterization of Ag NPs with its ultra-rapid catalytic reduction of methyl green dye
    • Author, Year: Y Junejo, A Baykal, M Safdar, A Balouch (2014)
    • Citation: Applied Surface Science 290, 499-503 πŸŒ±πŸ”¬
  • Biosorption of fluoride from aqueous solution by whiteβ€”rot fungus Pleurotus eryngii ATCC 90888
    • Author, Year: F Amin, FN Talpur, A Balouch, MA Surhio, MA Bhutto (2015)
    • Citation: Environmental Nanotechnology, Monitoring & Management 3, 30-37 πŸ„πŸ’§
  • Sorption kinetics, isotherm and thermodynamic modeling of defluoridation of groundwater using natural adsorbents
    • Author, Year: A Balouch, M Kolachi, FN Talpur, H Khan, MI Bhanger (2013)
    • Citation: Scientific Research Publishing πŸŒπŸ”¬
  • Efficient heterogeneous catalytic hydrogenation of acetone to isopropanol on semihollow and porous palladium nanocatalyst
    • Author, Year: A Balouch, A Ali Umar, AA Shah, M Mat Salleh, M Oyama (2013)
    • Citation: ACS Applied Materials & Interfaces 5 (19), 9843-9849 πŸ§ͺ🌟
  • Poriferous microtablet of anatase TiO2 growth on an ITO surface for high-efficiency dye-sensitized solar cells
    • Author, Year: AA Umar, S Nafisah, SKM Saad, ST Tan, A Balouch, MM Salleh (2014)
    • Citation: Solar Energy Materials and Solar Cells 122, 174-182 β˜€οΈπŸ”‹
  • Microwave-assisted synthesis of imprinted polymer for selective removal of arsenic from drinking water by applying Taguchi statistical method
    • Author, Year: FA Mustafai, A Balouch, N Jalbani, MI Bhanger, MS Jagirani, A Kumar (2018)
    • Citation: European Polymer Journal 109, 133-142 🌊πŸ§ͺ
  • Sensitive fluorescence detection of Ni 2+ ions using fluorescein functionalized Fe 3 O 4 nanoparticles
    • Author, Year: MT Shah, A Balouch, E Alveroglu (2018)
    • Citation: Journal of Materials Chemistry C 6 (5), 1105-1115 πŸ’‘πŸ”¬
  • ZnO nanocubes with (1 0 1) basal plane photocatalyst prepared via a low-frequency ultrasonic assisted hydrolysis process
    • Author, Year: ST Tan, AA Umar, A Balouch, M Yahaya, CC Yap, MM Salleh, M Oyama (2014)
    • Citation: Ultrasonics Sonochemistry 21 (2), 754-760 πŸ”²πŸŒŠ
  • Synthesis of ultrasonic-assisted lead ion imprinted polymer as a selective sorbent for the removal of Pb2+ in a real water sample
    • Author, Year: A Balouch, FN Talpur, A Kumar, MT Shah, AM Mahar (2019)
    • Citation: Microchemical Journal 146, 1160-1168 🌊πŸ§ͺ