Chao Peng | Neurodegenerative disease | Best Researcher Award

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Prof. Chao Peng | Neurodegenerative disease | Best Researcher Award

Prof. Chao Peng, Department of Neurology UCLA, United States

“Prof. Chao Peng is an Assistant Professor at the Department of Neurology, UCLA, USA. His research focuses on neurodegenerative diseases, particularly the transmission and spread of pathological proteins like alpha-synuclein and tau. Prof. Peng has received numerous awards and grants for his work, including the Michael J. Fox Foundation Grant and the CurePSP Grant.”

Profile

Scopus

Early Academic Pursuits šŸŽ“

Dr. Chao Peng’s journey into the world of biomedical sciences began at Wuhan University, China, where he pursued a B.Sc. in Life Science (2002ā€“2006). His keen interest in developmental biology led him to Fudan University, Shanghai, China, where he earned his Ph.D. (2006ā€“2012) under the mentorship of Dr. Wufan Tao, with co-mentors Min Han, Yuan Zhuang, and Tian Xu. During his Ph.D. studies, he established groundbreaking piggyBac transposon-based genetic screening systems to identify metastasis genes, tumor suppressors, and drug resistance-related genes. His work also included generating Vps18 conditional knockout mice, which played a pivotal role in understanding late endocytosis in neural cell survival and dendrite development.

Professional Endeavors šŸ›ļø

Dr. Peng has had an illustrious career in neuroscience, focusing on molecular mechanisms underlying neurodegenerative diseases. After completing his doctoral studies, he embarked on a rigorous postdoctoral fellowship (2013ā€“2018) at the University of Pennsylvania, Dr. Virginia Lee’s Laboratory, where he made seminal discoveries regarding the pathological Ī±-synuclein strains and their role in neurodegeneration. His tenure at Pennsylvania continued as a Research Associate (2018ā€“2019), where he refined methodologies for studying protein aggregation and transmission in neurodegenerative conditions.

In January 2020, Dr. Peng joined the prestigious University of California, Los Angeles (UCLA) as an Assistant Professor. Here, his research delves into the molecular machinery of pathological Ī±-synuclein and tau transmission, their genetic and environmental risk factors, and their structural diversity in diseased brains. His work aims to develop novel disease models for neurodegenerative disorders, offering new therapeutic avenues.

Contributions and Research Focus šŸ”¬

Dr. Pengā€™s research is dedicated to unraveling the complexities of protein misfolding and aggregation in neurodegenerative diseases, particularly Parkinsonā€™s disease and tauopathies. Some of his most notable contributions include:

  • Pathological Ī±-synuclein strains: He demonstrated the biological and structural diversity of Ī±-synuclein strains, which has significant implications for diagnostics and targeted therapies.
  • Cross-seeding of pathological proteins: His studies revealed interactions between Ī±-synuclein, tau, and TDP-43, which may provide insight into disease progression and overlapping pathologies.
  • Post-translational modifications (PTMs) of Ī±-synuclein: He systematically examined PTMs and their role in protein aggregation, shedding light on their functional significance in disease pathogenesis.
  • Development of disease models: His work on oligodendrocyte-mediated Ī±-synuclein transmission has led to advanced models for studying Multiple System Atrophy (MSA) and related disorders.
  • High-throughput screening systems: He has pioneered screening techniques to evaluate protein aggregation inhibitors, paving the way for potential therapeutics.

Accolades and Recognition šŸ†

Dr. Pengā€™s impactful research has been widely recognized in the scientific community. Some of his notable honors include:

  • Invited Speaker at Prestigious Conferences & Institutions: NIH (2024), University of Pennsylvania (2024), UT Southwestern (2023), Tiantan International Movement Disorder Symposium (2022), Kingā€™s College London (2020), Cornell University (2020), and more.
  • Editorial & Peer Review Contributions: He serves as a reviewer for renowned journals such as Science Translational Medicine, Nature Chemical Biology, and Molecular Neurodegeneration.
  • Highly Cited Publications: His studies have been published in Nature, Neuron, Nature Neuroscience, JBC, and Nature Reviews Neurology, influencing global research in neurodegeneration.

Publication Top Notes

Post-translational modifications of soluble Ī±-synuclein regulate the amplification of pathological Ī±-synuclein

Author: Zhang, S., Zhu, R., Pan, B., Xu, H., Olufemi, M., Gathagan, R., Li, Y., Zhang, L., Zhang, J., Xiang, Q., Kagan, E., Cao, X., Yuan, C., Kim, S., Williams, C., Magaki, S., Vinters, H., Lashuel, H., Garcia, B., Petersson, J., Trojanowski, J.Q., Lee, V.M.,* Peng, C.*

Journal: Nature Nueroscience

Year: 2023

Cellular milieu imparts distinct pathological Ī±-synuclein strains in Ī±-synucleinopathies

Author: Peng, C., Gathagan, R.J., Covell, D.J., Medellin, C., Stieber, A., Robinson, J.L., Zhang, B., Pitkin, R.M., Olufemi, M.F., Luk, K.C.,

Journal: Neurodegeneration

Year: 2018

 

 

POORNIMA SINGH | Electronic Vehicles | Academic Research Impact Award

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Dr. POORNIMA SINGH | Electronic Vehicles | Academic Research Impact AwardĀ 

Dr. POORNIMA SINGH, Amity University, India

Dr. Purnima Singh is an Institute Chair Professor in the Department of Humanities and Social Sciences at the Indian Institute of Technology (IIT) Delhi. She earned her D.Phil. in Psychology from the University of Allahabad in 1985 and has been a faculty member at IIT Delhi since 2005. Her research focuses on group processes, justice, identity, and intergroup relations in organizational and social contexts. Dr. Singh has held prominent positions, including President of the National Academy of Psychology in India and Editor-in-Chief of the journal Psychological Studies.

Profile

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šŸŽ“ Early Academic Pursuits

Dr. Purnima Singhā€™s academic journey began with a strong foundation in psychology. She pursued her D.Phil. in Psychology from the prestigious University of Allahabad, completing it in 1985. During her doctoral studies, she focused on understanding human behavior, social interactions, and cognitive processes. Her early research laid the groundwork for her future contributions to social and organizational psychology. Her keen interest in group dynamics and identity formation started taking shape during this period, guiding her academic pursuits in the years to come.

šŸ’¼ Professional Endeavors

Dr. Singh has been a faculty member at the Indian Institute of Technology (IIT) Delhi since 2005. As an Institute Chair Professor in the Department of Humanities and Social Sciences, she has played a pivotal role in shaping the academic and research environment at IIT Delhi. Her expertise in psychology has contributed to the development of innovative courses and interdisciplinary studies that bridge psychology with management, sociology, and organizational behavior.

Beyond her role at IIT Delhi, Dr. Singh has held leadership positions in academic organizations, including serving as the President of the National Academy of Psychology (NAOP), India. Her leadership has helped promote psychological research and education across the country. She has also been Editor-in-Chief of Psychological Studies, a leading journal in the field, ensuring the dissemination of high-quality research in psychology.

šŸ”¬ Contributions and Research Focus

Dr. Singhā€™s research revolves around group processes, justice, identity, and intergroup relations in both organizational and social contexts. Her studies explore how individuals perceive fairness, form social identities, and interact within groups. Some of her notable research contributions include:

  • Justice Perceptions in Organizations: Investigating how employees perceive fairness in the workplace and its impact on motivation and performance.
  • Social Identity and Group Dynamics: Studying the formation of social identities and how they influence intergroup relations, prejudice, and discrimination.
  • Intergroup Conflict Resolution: Analyzing strategies to improve intergroup relationships, particularly in diverse and multicultural environments.

Her work has been instrumental in understanding psychological processes that shape workplace behavior, social cohesion, and group conflicts. By integrating psychology with organizational and social sciences, she has provided valuable insights into fostering inclusivity, justice, and harmony in both corporate and societal settings.

šŸ† Accolades and Recognition

Dr. Singhā€™s contributions to psychology have been widely recognized. Her leadership in NAOP India and role as Editor-in-Chief of Psychological Studies have established her as a prominent figure in psychological research. She has received several awards and honors for her scholarly work, including:

  • Recognition for her pioneering research on social identity and justice in India.
  • Invitations to speak at international psychology conferences and academic forums.
  • Prestigious research grants for studies on organizational justice and group interactions.

Her work has influenced policymakers, HR professionals, and social scientists, demonstrating the practical applications of psychological research in real-world scenarios.

šŸŒ Impact and Influence

Dr. Singhā€™s research has had a significant geographic impact, particularly in India and South Asia. Her studies on intergroup relations and justice perceptions have provided a deeper understanding of workplace dynamics in multicultural societies. Her findings have been applied in:

  • Corporate settings to improve organizational justice and employee satisfaction.
  • Educational institutions to promote inclusivity and social harmony.
  • Public policy to design interventions for conflict resolution and social integration.

She has collaborated with researchers from various disciplines, making her work highly interdisciplinary and globally relevant. Her influence extends to mentoring young scholars, guiding Ph.D. students, and inspiring future researchers in the field of psychology.

šŸ”¬ Applied Research and Vector Control

Dr. Singhā€™s applied research extends beyond theoretical constructs, offering practical solutions for managing group interactions and social conflicts. While her primary focus is psychology, her interdisciplinary approach has touched upon areas like public health, governance, and social justice.

In the context of vector control, behavioral psychology plays a crucial role in public health campaigns. Understanding how individuals perceive risks and adopt preventive measures can enhance strategies for disease control. Although this is not her primary area, her research on group behavior and justice can contribute to health communication strategies, policy-making, and community engagement efforts.

šŸ‘©ā€šŸ« Legacy and Future Contributions

Dr. Purnima Singhā€™s legacy is marked by her significant contributions to psychology, her leadership roles, and her impact on academic and social domains. As an Institute Chair Professor at IIT Delhi, she continues to inspire students and researchers with her innovative work. Her future contributions are expected to:

  • Expand research on intergroup relations in digital spaces and the influence of social media on identity formation.
  • Develop frameworks for promoting workplace inclusivity and organizational well-being.
  • Enhance global collaborations in psychology, fostering cross-cultural research.

Her lifelong dedication to psychological research, academic leadership, and mentorship ensures that her influence will continue to shape the field for years to come.

Publication Top Notes

A retrospective study of environmental predictors of dengue in Delhi from 2015 to 2018 using the generalized linear model

Author: PS Singh, HK Chaturvedi
Journal: Scientific reports
Year: 2022

Temporal variation and geospatial clustering of dengue in Delhi, India 2015ā€“2018

Author: PS Singh, HK Chaturvedi
Journal: BMJ open
Year: 2021

Yan Feng | Ocean Engineering | Best Researcher Award | 13257

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Dr. Yan Feng | Ocean Engineering | Best Researcher AwardĀ 

Dr. Yan Feng, Harbin Engineering University, China

Dr. Yan Feng is a doctoral candidate at Harbin Engineering University, China, specializing in Marine Engineering under the supervision of Prof. XiuJiang Shi. He holds a Bachelor’s degree in Surveying and Mapping Engineering from Shenyang Agricultural University (2014ā€“2018) and has been pursuing his Ph.D. in Energy and Power Engineering since 2018. His research focuses on power plant friction and wear characteristics, including elastohydrodynamic and elastoplastic mixed lubrication modeling, fatigue life prediction of gas turbine bearings, and wear simulation. Dr. Feng has authored several EI and SEI journal publications on scuffing failure, friction, and wear in ball bearings. His expertise spans lubrication failure analysis, bearing dynamics, and hybrid lubrication systems under shock loads.

Profile

Orcid

Early Academic Pursuits šŸŽ“

Yan Feng’s journey into the world of engineering and tribology began with a strong academic foundation. Born in December 1996 in Harbin, Heilongjiang, he demonstrated an early aptitude for technical studies. His academic pursuits commenced atĀ Shenyang Agricultural University, where he majored inĀ Surveying and Mapping EngineeringĀ from 2014 to 2018. During these formative years, he honed his skills in precision measurement and spatial analysis, setting the stage for his advanced research interests.

Eager to delve deeper into the complexities of engineering, he pursued a graduate degree atĀ Harbin Engineering UniversityĀ in theĀ School of Power and Energy EngineeringĀ in 2018. His doctoral studies focused onĀ Marine Engineering, under the supervision ofĀ Prof. XiuJiang Shi. This rigorous academic training provided him with an extensive understanding of power plant friction, wear characteristics, and their real-world applications.

Professional Endeavors šŸ’¼

Yan Feng has dedicated his professional career toĀ energy and power engineering, with a primary focus on tribology, lubrication, and failure analysis in high-performance mechanical systems. His expertise spans various domains, including:

  • Lubrication & Failure Analysis:
    • Elastohydrodynamic (EHL) & Elastoplastic Mixed Lubrication Modeling
    • Fatigue Life Prediction for Gas Turbine Bearings Under Impact and Thermal Loads
    • Wear, Pitting, Scuffing, and Surface Degradation Simulation
  • Dynamics & Tribology:
    • Bearing Dynamics and Frictional Interface Temperature/Wear Calculation
    • Hybrid Lubrication Systems Under Shock Loads
    • Elastoplastic Lubrication Analysis of Gas Turbine Bearings

His cutting-edge research has addressed key challenges in power plant efficiency, focusing on reducing mechanical failures and enhancing energy performance.

Contributions and Research Focus šŸ”¬

Yan Feng’s research contributions are extensive, particularly in the areas of tribology and lubrication engineering. His work aims to improve the durability and efficiency ofĀ gas turbine bearings, a critical component in aerospace, marine, and energy industries. His key research interests include:

  • DevelopingĀ advanced 3D mixed lubrication modelsĀ for predicting scuffing failure in gas turbine ball bearings.
  • Studying the impact ofĀ thermal and mechanical loadsĀ on bearing life and efficiency.
  • Investigating the influence ofĀ surface degradation mechanismsĀ like pitting and wear on system performance.
  • EnhancingĀ hybrid lubrication systemsĀ to withstand extreme shock loads and temperature variations.

Through these contributions, Yan Feng has played a significant role in advancing predictive maintenance technologies, reducing mechanical failures, and optimizing lubrication systems for high-performance machinery.

Accolades and Recognition šŸ†

Yan Fengā€™s scholarly excellence is reflected in his impressive publication record. He has authored multiple research articles in high-impact journals, including:

  • EI Journal (First Author):Ā Study on Scuffing Failure of Gas Turbine Ball Bearing Based on 3D Mixed Lubrication and Dynamics
  • SEI Journal (First Author):Ā Predictions of Friction and Wear in Ball Bearings Based on a 3D Point Contact Mixed EHL Model
  • SEI Journal (First Author):Ā Elastoplastic Lubrication Analysis of Gas Turbine Bearings

His work has gained significant recognition in the scientific community, with researchers citing his contributions to lubrication and tribology. As an emerging leader in his field, his research findings are shaping industry standards forĀ gas turbine lubrication and wear prevention.

Impact and Influence šŸ’”

Beyond academia, Yan Fengā€™s work has real-world applications, particularly inĀ marine, aerospace, and power generation industries. His research has influenced the development ofĀ more durable and energy-efficient turbine bearings, helping industries reduce maintenance costs and extend the operational life of critical components.

His collaborations withĀ top-tier engineering institutions and industry expertsĀ have facilitated the integration of advanced lubrication models into industrial applications. Additionally, his technical expertise has contributed to:

  • Enhancing fuel efficiencyĀ in gas turbines by reducing friction losses.
  • Mitigating mechanical failuresĀ through predictive wear analysis.
  • Improving the reliabilityĀ of high-speed rotating machinery in extreme conditions.

Legacy and Future Contributions šŸŒŸ

Yan Feng’s impact inĀ tribology and energy engineeringĀ is just beginning. His future research aims to push the boundaries ofĀ smart lubrication technologies, incorporatingĀ artificial intelligence (AI) and machine learningĀ to predict wear patterns and optimize lubrication strategies. Additionally, he plans to:

  • DevelopĀ next-generation tribological materialsĀ with self-healing properties.
  • ExploreĀ nano-lubricantsĀ for ultra-low friction applications.
  • PioneerĀ eco-friendly lubrication solutionsĀ to reduce environmental impact in industrial operations.

Through continued innovation, Yan Feng aspires to bridge the gap betweenĀ academic research and industrial applications, ensuring that his findings translate intoĀ practical advancementsĀ that benefit global energy and power systems.

Conclusion šŸ”

Yan Fengā€™sĀ commitment to engineering excellence and tribological advancementsĀ has positioned him as a rising star in the field of energy and power engineering. His contributions toĀ lubrication modeling, failure analysis, and mechanical system optimizationĀ have already made a lasting impact on academia and industry alike.

As he continues to push the frontiers ofĀ mechanical reliability and efficiency, his research will undoubtedly shape the future of power systems, making themĀ more robust, energy-efficient, and sustainable.

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Nadeem Zaidkilani | Artificial Intelligence | Cutting-edge Technology Research Award | 13255

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Mr. Nadeem Zaidkilani | Artificial Intelligence | Cutting-edge Technology Research AwardĀ 

Mr. Nadeem Zaidkilani, University Rovira i Virgili, Spain

Mr. Nadeem Zaidkilani is a Ph.D. student in the Doctoral Program in Computer Engineering and Mathematics at the University Rovira i Virgili (URV), Spain. His research focuses on computer vision and medical image analysis, leveraging deep learning techniques to enhance automated diagnostic systems. With a strong background in software engineering and artificial intelligence, he has extensive experience in text mining, natural language processing, and biomedical data analysis. His work integrates advanced machine learning methodologies with practical applications in healthcare and technology.

Profile

Scopus

šŸŽ“ Early Academic Pursuits

Nadeem Zaidkilani embarked on his academic journey with a passion for computer science, earning his Bachelorā€™s degree in Computer Science from Birzeit University in 2005. His thirst for knowledge and drive for excellence led him to further his studies, culminating in a Masterā€™s degree in Software Engineering from the same institution in 2019. During his master’s, he honed his expertise in requirements engineering, business analysis, software design, and other fundamental software engineering disciplines. His thesis on Automatic Classification of Apps Reviews for Requirement Engineering provided significant insights into customer needs in healthcare applications, demonstrating his analytical skills and research prowess.

Currently, Nadeem is pursuing a Ph.D. at URV University in Spain, specializing in Computer Vision for Medical Image Analysis. His research integrates deep learning, image processing, and natural language processing (NLP) to develop advanced solutions in medical imaging.

šŸ’¼ Professional Endeavors

Throughout his career, Nadeem has gained extensive experience in various roles, each contributing to his growth as a seasoned software engineer, researcher, and educator.

šŸŒŸ Part-Time Lecturer at Al-Zaytoonah University of Science and Technology (2024ā€“Present)

Nadeem’s teaching portfolio includes courses in Python, C++, and Human-Computer Interaction (HCI). His expertise extends to Agile and Scrum methodologies, emphasizing collaborative design, iterative feedback, and efficient software development cycles. His commitment to academia ensures that students receive industry-relevant knowledge and skills.

šŸ§Ŗ Text Mining Engineer (2023ā€“2024)

Nadeem played a pivotal role in a biomedical research project, leveraging text mining to streamline the classification of PubMed literature. His contributions included:

  • Text Classification: Implementing advanced algorithms to categorize biomedical research papers.
  • Entity Relationship Mapping: Utilizing INDRA to identify connections between biomedical entities.
  • Workflow Development: Designing a student-teacher analogy model, where experts guide AI-driven literature analysis.

šŸ› ļø Senior Application Specialist at Paltel (2012ā€“2022)

In this role, Nadeem managed and optimized multiple business applications, ensuring seamless integration and high efficiency. Key projects included:

  • Paltel Portal & Business Portal: Facilitating customer and corporate service management.
  • Electronic Document Management System (EDMS): Enhancing document storage and retrieval processes.
  • E-Pay System: Implementing a secure electronic payment solution.
  • Vendor Management System (VMS): Streamlining vendor relations.
  • Bulk and Pull SMS System: Enhancing customer communication strategies.

šŸ† Senior Software Developer at Hulul Company (2009ā€“2012)

Nadeem worked on network provisioning, donor management systems, and document archiving while implementing Agile methodologies. His experience with Struts 2, JEE, HTML, and JavaScript strengthened his software development capabilities.

šŸ“ IT Manager at Ministry of Finance (2007ā€“2009)

As an IT manager, he successfully led projects within budget and time constraints, ensuring efficient system analysis, testing, and quality assurance.

šŸ“š Junior Java Developer & Software Engineer Roles (2005ā€“2007)

Nadeem contributed to the Palestinian Authority Tax Administration Computer System (PATACS), implementing J2EE-based solutions. His training in Spain on J2EE and XML web services further solidified his technical foundation.

šŸ“š Contributions and Research Focus

Nadeem’s research is centered on deep learning, computer vision, and medical image analysis. His ongoing Ph.D. work aims to revolutionize medical imaging techniques by integrating AI-driven models. His past research efforts in text mining for biomedical literature and software requirement engineering have also contributed valuable insights to their respective fields.

šŸ… Accolades and Recognition

Nadeemā€™s expertise has earned him recognition across academic and professional spheres. His extensive contributions to biomedical text mining, software engineering, and AI-driven medical imaging have established him as an innovator in the field. He has collaborated with leading experts and institutions, further solidifying his influence in software development and research.

Publication Top Notes

CoAtUNet: A symmetric encoder-decoder with hybrid transformers for semantic segmentation of breast ultrasound images

Author: N., Zaidkilani, Nadeem, M.Ɓ., Garcƭa, Miguel Ɓngel, D.S., Puig, Domenec Savi

Journal: Neurocomputing,Ā 

Year: 2025

 

 

Mehran Pourvahab | Data Science | Best Researcher Award | 13254

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Dr. Mehran Pourvahab | Data Science | Best Researcher Award

Dr. Mehran Pourvahab, University of Beira Interior, Portugal

Dr. Mehran Pourvahab is a researcher, developer, educator, and network engineer affiliated with the University of Beira Interior (UBI), Portugal. An IEEE Senior Member, he specializes in Medical Informatics, Data Science, Machine Learning, Cloud Security, Software-defined Networking, and Blockchain Technology. He holds a Ph.D. in Computer Engineering from Azad University, Iran, and has completed one postdoctoral position at UBIā€™s C4 ā€“ Cloud Computing Competences Centre. He is currently pursuing a second postdoc at ALLab, focusing on AI-driven predictive algorithms in Medical Informatics. As Data and Project Manager at HULTIG for the Phara-On project, he contributes to ICT solutions for ageing populations. Dr. Pourvahab has extensive teaching, consulting, and research experience, with numerous publications and contributions to academia and industry.

Profile

Orcid

Scopus

šŸŽ“ Early Academic Pursuits

Dr. Mehran Pourvahabā€™s journey into the world of computer engineering began with a solid foundation in academia. His early education equipped him with a deep understanding of computing principles, networking, and software systems. Driven by a passion for technological innovation, he pursued higher education in computer engineering, culminating in a Ph.D. from Azad University, Iran. His doctoral research, which focused on collecting reliable legal evidence in cloud network forensics, was groundbreaking and earned him top honors with a perfect thesis evaluation of 20/20.

After earning his doctorate, Dr. Pourvahab sought to deepen his expertise further through postdoctoral research. His first postdoctoral position at the University of Beira Interior (UBI) in Portugal, under the C4 ā€“ Cloud Computing Competences Centre, allowed him to explore the intersection of machine learning, data science, and medical informatics. His research aimed to develop a predictive and monitoring platform for cardiology and neurodegenerative diseases, leveraging AI and data analytics to improve healthcare outcomes.

Currently, he is pursuing a second postdoctoral research position at UBIā€™s Assisted Living Computing and Telecommunications Laboratory (ALLab). His work here continues to push the boundaries of medical informatics, AI-driven predictive algorithms, and knowledge-based systems that enhance healthcare solutions.

šŸ’¼ Professional Endeavors

Dr. Pourvahab’s professional journey is a testament to his commitment to both academic excellence and industry innovation. His expertise spans multiple domains, including:

āœ… Medical Informatics
āœ… Data Science & Machine Learning
āœ… Cloud Security & Forensics
āœ… Software-Defined Networking (SDN)
āœ… Blockchain Technology

Beyond academia, he has made significant contributions to the networking and cybersecurity industry. As a senior network engineer, he holds multiple professional certifications, including:

šŸ”¹ MikroTik Certified Routing Engineer
šŸ”¹ MikroTik Certified Wireless Engineer
šŸ”¹ Cyberoam Certified Network & Security Professional

Dr. Pourvahab also played a key role in establishing MehranNet, an Internet Service Provider (ISP) founded in 2001, where he continues to serve as a board member. His entrepreneurial vision and leadership have helped shape the company into a recognized name in the networking sector.

In the academic sphere, he has served as a faculty member at Azad University, Langarud Branch, where he mentored students in various fields of computer science. His courses have covered topics such as algorithm design, database systems, networking, and programming languages. He has also supervised Ph.D. and masterā€™s students, providing guidance on cutting-edge research topics.

šŸ”¬ Contributions and Research Focus

Dr. Pourvahab has been actively engaged in cutting-edge research, particularly at the intersection of AI, cloud computing, cybersecurity, and medical informatics. Some of his notable research contributions include:

šŸ“Š Data Science & AI in Healthcare

At UBIā€™s ALLab, Dr. Pourvahab is pioneering AI-driven predictive models that assist in early diagnosis and monitoring of medical conditions. His research is crucial in areas such as:
āœ” Cardiology ā€“ Predicting heart disease risks using AI-based modeling
āœ” Neurodegenerative Disorders ā€“ Developing smart monitoring systems for Alzheimerā€™s and Parkinsonā€™s disease
āœ” Behavioral Health ā€“ Enhancing mental health assessments using data analytics

šŸ›”ļø Cloud Forensics & Cybersecurity

His Ph.D. research in cloud forensics provided a framework for collecting reliable legal evidence in cloud networks. This work is essential for:
āœ” Strengthening digital forensics methodologies
āœ” Enhancing legal evidence collection in cybercrime cases
āœ” Improving security measures in cloud computing environments

šŸ”— Blockchain and SDN Technologies

Dr. Pourvahab has also contributed significantly to software-defined networking (SDN) and blockchain technology by:
āœ” Developing secure cloud architectures
āœ” Enhancing network automation and security
āœ” Implementing blockchain-based authentication mechanisms

šŸ† Accolades and Recognition

Dr. Mehran Pourvahabā€™s contributions have not gone unnoticed. Over the years, he has received numerous honors and accolades for his work, including:

šŸ„‡ IEEE Senior Membership ā€“ A prestigious recognition of his contributions to computer engineering and networking.

šŸ“œ Research Publications ā€“ He has authored and co-authored numerous peer-reviewed journal papers and conference articles in high-impact venues.

šŸ“ Editorial and Peer-Review Contributions ā€“ Dr. Pourvahab has reviewed research articles for various esteemed journals and conferences, further cementing his role as an authority in his field.

šŸ… Leading R&D Projects ā€“ As a Data Manager and Project Manager for the Unified Data Model in the Phara-On project, he played a crucial role in one of Europeā€™s biggest R&D initiatives focused on ICT solutions for aging populations.

šŸ“” Leadership in Networking and Security ā€“ His involvement in the Iranian ICT Guild Organization, where he served as head of the security and network commission, highlights his leadership and impact on national technology policies.

Publication Top Notes

Enhancing Neural Network Generalisation with Improved Differential Evolution

Contributors:Ā Seyed Jalaleddin Mousavirad;Ā Seyyed Mohammad Tabatabaei;Ā Davood Zabihzadeh;Ā Mahshid Helali Moghadam;Ā Mehran Pourvahab;Ā Diego Oliva
Journal: Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions
Year: 2025

Evolutionary Self-adjusting Masi Entropy Thresholding

Contributors:Ā Mousavirad, Seyed Jalaleddin;Ā DiegoĀ Oliva;Ā Seyyed Mohammad Tabatabaei;Ā Davood Zabihzadeh;Ā Pourvahab, Mehran;Ā Autor correspondente: Mousavirad, Seyed Jalaleddin.
Journal: Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions
Year: 2025

 

 

 

Anabel Granja-Dominguez | Health Sciences | Best Researcher Award | 13260

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Mrs. Anabel Granja-Dominguez | Health Sciences | Best Researcher AwardĀ 

Mrs. Anabel Granja-Dominguez, AETSA. Health Technology Assessment of Andalusia, Spain

Anabel Granja DomĆ­nguez is a physiotherapist and researcher specializing in multiple sclerosis and healthcare technology assessment. With a degree in Physiotherapy from the University of Seville, she has worked in research roles at the Hospital Universitario Virgen Macarena and FundaciĆ³n DINAC, contributing to clinical trials, European projects, and scientific dissemination. Currently, she is a researcher at the Agencia de EvaluaciĆ³n de TecnologĆ­as Sanitarias de AndalucĆ­a, focusing on European-funded projects. She holds a Master’s in Motor Neurocontrol and has pursued doctoral studies in clinical procedures and health outcomes. Her work emphasizes innovation in healthcare evaluation and neurological disease management.

Profile

Orcid

Early Academic Pursuits šŸŽ“

Anabel Granja Dominguez embarked on her academic journey in physiotherapy at the University of Seville, where she earned her degree between 2010 and 2014. This foundational education provided her with a strong understanding of human movement and rehabilitation, shaping her early interest in neurological conditions and their treatment. To further deepen her expertise, she pursued a Masterā€™s degree in Neurocontrol Motor at Universidad Rey Juan Carlos, completing it in December 2017. This postgraduate study refined her skills in motor control, neurological rehabilitation, and therapeutic strategies, setting the stage for her specialized research work in multiple sclerosis and related neurological disorders.

Additionally, Anabel enrolled in a doctoral program at the University of Seville, focusing on clinical procedures, interventions, and health outcomes. Her educational journey also included a postgraduate course in the evaluation of medications and health technologies at the Universidad Nacional de EducaciĆ³n a Distancia, further broadening her knowledge in health sciences assessment and regulatory frameworks.

Professional Endeavors šŸŒŸ

Anabel’s professional career commenced in May 2015 when she joined the AsociaciĆ³n ELA AndalucĆ­a as a physiotherapist. Her passion for neurological disorders soon led her to the Hospital Universitario Virgen Macarena, where she worked in the multiple sclerosis research unit from September 2015 to 2018. Initially employed through Neuroinvest and later through Fisevi, she played a pivotal role in clinical trials, scientific publications, and international research collaborations.

From May 2018 to January 2023, she expanded her impact at FundaciĆ³n DINAC, where she served as a researcher, sub-investigator, evaluator, and coordinator of clinical trials focusing on multiple sclerosis. Her responsibilities included managing scientific events, coordinating international projects, and disseminating research findings through conferences and seminars.

Currently, Anabel is an investigator at the Agencia de EvaluaciĆ³n de TecnologĆ­as Sanitarias de AndalucĆ­a (AETSA), FundaciĆ³n Progreso y Salud, where she contributes to European Commission-funded projects. Her most recent work involves developing and publishing a methodological manual for clinical practice guidelines, reinforcing her commitment to evidence-based medicine and healthcare improvement.

Contributions and Research Focus šŸ“

Anabelā€™s research has primarily focused on multiple sclerosis, its rehabilitation strategies, and clinical trial methodologies. Her extensive involvement in research projects has led to notable contributions in the evaluation of neurological disorders, patient-centered therapeutic interventions, and the improvement of clinical trial protocols. She has authored and co-authored several scientific publications, actively participated in international conferences, and contributed to the development of best practices in neurological rehabilitation.

Her expertise extends beyond research, as she has been instrumental in organizing scientific events, coordinating multicenter trials, and fostering interdisciplinary collaboration in the medical community.

Accolades and Recognition šŸ†

Throughout her career, Anabel has gained recognition for her dedication to neurological research and healthcare evaluation. Her work in multiple sclerosis research has been acknowledged through her contributions to European projects and international collaborations. Her role in developing clinical practice guidelines further exemplifies her influence in shaping healthcare policies and treatment frameworks.

Her expertise and leadership in clinical trials and healthcare evaluation have made her a respected figure in the medical research community, with colleagues and institutions valuing her contributions to evidence-based medicine.

Publication Top Notes

Effects of pulsed electromagnetic field therapy on fatigue, walking performance, depression, and quality of life in adults with multiple sclerosis: a randomized placebo-controlled trial

Contributors:Ā Anabel Granja DomĆ­nguez;Ā Anja Hochsprung;Ā Carlos Luque-Moreno;Ā Eleonora Magni;Ā Shahid Escudero-Uribe;Ā Beatriz Heredia-Camacho;Ā Guillermo Izquierdo-Ayuso;Ā Heredia-Rizo, Alberto M.
Journal: Brazilian Journal of Physical Therapy
year: 2022

Effectiveness of dry needling versus placebo on gait performance, spasticity, electromyographic activity, pain, range-of-movement and quality of life in patients with multiple sclerosis: A randomized controlled trial protocol

Contributors:Ā Luque-Moreno, C.;Ā Granja-DomĆ­nguez, A.;Ā Moral-Munoz, J.A.;Ā Izquierdo-Ayuso, G.;Ā Lucena-Anton, D.;Ā Heredia-Rizo, A.M.
Journal: Brain Sciences
Year: 2020

Evaluation of more stamina, a mobile app for fatigue management in persons with multiple sclerosis: Protocol for a feasibility, acceptability, and usability study

Contributors:Ā Giunti, G.;Ā Rivera-Romero, O.;Ā Kool, J.;Ā Bansi, J.;Ā Sevillano, J.L.;Ā Granja-Dominguez, A.;Ā Izquierdo-Ayuso, G.;Ā Giunta, D.
Journal: JMIR Research Protocols
Year: 2020

 

Wei Zhou | Biomedicine | Best Researcher Award

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Dr. Wei Zhou | Biomedicine | Best Researcher AwardĀ 

Dr. Wei Zhou, Shenzhen University, China

Dr. Wei Zhou, an Associate Research Fellow at Shenzhen University, specializes in traditional Chinese medicine systems pharmacology, bioinformatics, and systems biology. A Shenzhen High-Level Talent, she has published 34 SCI papers and led six national and provincial research projects. With an SCI citation index of 5085 and an H-index of 15, her work advances interdisciplinary research in TCM modernization. She has applied for five patents and serves as a Council Member of the China Association of Traditional Chinese Medicine Information. Her research focuses on developing low-side-effect drugs and novel disease treatment mechanisms through integrated systems pharmacology approaches.

Early Academic Pursuits šŸŽ“

Wei Zhou’s journey into academia began with a strong foundation in bioinformatics, culminating in a Ph.D. in the field. Her passion for integrative medicine led her to pursue postdoctoral research in Basic Integrative Medicine, where she developed a unique interdisciplinary perspective. Her academic endeavors were driven by an ambition to merge traditional Chinese medicine (TCM) with modern scientific methodologies. As a dedicated scholar, she demonstrated early promise, excelling in both theoretical and applied research.

Professional Endeavors šŸ›ļø

Currently serving as an Associate Research Fellow at the Faculty of Medicine, Shenzhen University, Wei Zhou has established herself as a key figure in bioinformatics and systems biology. Her expertise in traditional Chinese medicine systems pharmacology has positioned her at the forefront of TCM modernization. As a recognized Shenzhen High-Level Talent, she has contributed significantly to national, provincial, and municipal research projects, leading six major research initiatives.

Contributions and Research Focus šŸ”¬

Wei Zhou’s research primarily focuses on integrating systems pharmacology approaches with bioinformatics to explore TCMā€™s pharmacodynamic properties, molecular targets, and therapeutic mechanisms. Through her extensive work, she has developed novel methodologies for analyzing the complex interactions between TCM and the human body. Her contributions include:

  • Development of TCM-based interventions for disease treatment using signaling pathway analysis.
  • Discovery of new drug targets and low-side-effect TCM-derived molecules, providing alternatives to conventional pharmaceutical approaches.
  • Bridging the gap between traditional medicine and modern computational biology, thereby fostering interdisciplinary collaboration in biomedical research.

Her work is substantiated by the publication of 34 SCI-indexed journal articles, demonstrating her research’s depth and impact. With an H-index of 15 and over 5085 citations, her studies have gained significant recognition within the scientific community.

Accolades and Recognition šŸ†

Throughout her career, Wei Zhou has earned prestigious accolades, cementing her reputation as a distinguished researcher. Her contributions to traditional Chinese medicine information systems have been acknowledged through her role as a Council Member of the China Association of Traditional Chinese Medicine Information. Furthermore, her achievements in innovation and academic excellence have led to the application of five patents, reinforcing her standing in biomedical research and pharmacology.

Impact and Influence šŸŒ

Wei Zhou’s research has had a profound impact on both academia and the healthcare industry. Her interdisciplinary approach has not only advanced scientific understanding but also provided practical applications for TCM in modern medicine. By leveraging computational techniques, she has improved the accuracy of drug-target predictions and therapeutic mechanisms, which has the potential to revolutionize how traditional medicine is integrated into clinical practice. Her work has also inspired young scholars and researchers to pursue interdisciplinary studies, bridging the gap between ancient medical traditions and contemporary scientific research.

Legacy and Future Contributions šŸš€

Looking ahead, Wei Zhou aims to further expand her research in vector control, applied pharmacology, and integrative medicine. She envisions a future where bioinformatics and AI-driven technologies will play a pivotal role in TCM research, offering precision-based solutions for complex diseases. Her dedication to innovation and research excellence ensures that her contributions will continue to shape the landscape of traditional medicine modernization.

With a strong commitment to interdisciplinary collaboration, she aspires to lead projects that enhance the global recognition of TCM as a scientifically validated and effective healthcare approach. Her ongoing efforts in patent development and pharmacological studies are expected to drive new breakthroughs, ultimately contributing to the broader field of medical research.

Through her research, Wei Zhou has not only pushed the boundaries of bioinformatics and pharmacology but also fostered a greater appreciation for the potential of TCM in global healthcare systems. As she continues her work, her impact will undoubtedly resonate across academic and medical communities worldwide.

Publications Top Notes

An empirical study of multifactorial PSO and multifactorial DE

Author: L Feng, W Zhou, L Zhou, SW Jiang, JH Zhong, BS Da, ZX Zhu, Y Wang
Journal: IEEE Congress on evolutionary computation
Year: 2017
Author: L Feng, W Zhou, W Liu, YS Ong, KC Tan
Journal: IEEE Transactions on Cybernetics
Year:2020
Author: W Zhou, L Feng, KC Tan, M Jiang, Y Liu
Journal: Transactions on Evolutionary Computation
Year: 2021

Zhao Cheng | fault diagnosis | Best Researcher Award | 13253

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Mr. Zhao Cheng | fault diagnosis | Best Researcher Award

Mr. Zhao Cheng, Lanzhou University of Technology, China

Mr. Cheng Zhao is a graduate student at the School of Mechanical and Electrical Engineering, Lanzhou University of Technology. His research focuses on fault diagnosis, pattern recognition, intelligent diagnosis, and signal processing, particularly in the intelligent diagnosis of rotating machinery. He has contributed to the study of time-frequency conversion methods for nonlinear vibration signals and developed a fault diagnosis framework integrating multiple information fusion techniques. As an IOP Trusted Reviewer, he has published several SCI/Scopus-indexed papers. His work provides valuable insights and innovative approaches to fault diagnosis, advancing research in the field of intelligent machinery diagnostics.

šŸŽ“ Early Academic Pursuits

Mr. Cheng Zhaoā€™s academic journey has been marked by a strong inclination toward engineering, particularly in the fields of mechanical and electrical systems. As a graduate student at the School of Mechanical and Electrical Engineering, Lanzhou University of Technology, he has delved deep into research areas that are crucial to modern industrial applications. His passion for fault diagnosis, pattern recognition, intelligent diagnosis, and signal processing was ignited early in his academic career, where he exhibited a keen interest in understanding the complexities of nonlinear vibration signals and their impact on rotating machinery.

Through rigorous coursework, hands-on experiments, and intensive study, Mr. Zhao developed expertise in time-frequency transformation methods and machine learning algorithms that enhance predictive maintenance and diagnostic accuracy. His strong analytical skills and technical acumen allowed him to contribute significantly to research projects focused on improving the reliability and efficiency of mechanical systems.

šŸ— Professional Endeavors

Mr. Zhaoā€™s professional journey is centered on the application of intelligent diagnostic techniques to rotating machineryā€”a field of paramount importance in industrial automation, aerospace engineering, and manufacturing sectors. His research aims to identify, analyze, and mitigate faults in complex mechanical systems, thereby reducing downtime, improving efficiency, and enhancing safety.

As a trusted reviewer for the Institute of Physics Publishing (IOPP), he plays an active role in the academic community, ensuring the integrity and quality of research published in the field of mechanical and electrical engineering. This role not only reflects his expertise but also underscores his commitment to advancing knowledge and innovation in his domain.

šŸ”¬ Contributions and Research Focus

Mr. Zhaoā€™s research is at the intersection of intelligent diagnosis, nonlinear signal processing, and multi-information fusion frameworks. His most notable contributions include:

  • Time-Frequency Conversion of Nonlinear Vibration Signals
    He has extensively studied and analyzed advanced time-frequency methods to convert nonlinear vibration signals, providing valuable references for future researchers in this domain. These methods enhance the accuracy of fault detection and enable more effective condition monitoring of machinery.

  • Multiple Information Fusion for Fault Diagnosis
    Recognizing the limitations of single-source diagnostic approaches, Mr. Zhao developed a multi-information fusion framework. This framework integrates vibration signals, acoustic signals, and thermal imaging data, providing a holistic approach to identifying and predicting mechanical faults with greater precision.

  • Published Research in High-Impact Journals
    His dedication to academic excellence is reflected in his publications in leading scientific journals such as Measurement and IOP Science journals. His contributions to the field can be accessed via the following publications:

His research provides engineers and industry professionals with robust methodologies to enhance the longevity and performance of industrial machinery.

šŸ† Accolades and Recognition

Mr. Zhaoā€™s contributions to the field of fault diagnosis and intelligent signal processing have earned him recognition in academic and professional circles. His role as an IOPP Trusted Reviewer is a testament to his credibility and expertise in peer-reviewing high-impact research.

Additionally, his innovative approaches in fault prediction and machine diagnostics make him a strong contender for prestigious research awards, including the Best Researcher Award, which he is currently seeking. His work continues to shape the next generation of intelligent maintenance systems, setting a benchmark for upcoming researchers.

šŸŒ Impact and Influence

Mr. Zhaoā€™s research has far-reaching implications across multiple industries:

  • Manufacturing & Automation ā€“ Enhancing predictive maintenance techniques, minimizing downtime, and reducing operational costs.
  • Aerospace & Automotive ā€“ Improving fault detection in critical rotating machinery components, leading to safer and more reliable transportation systems.
  • Energy & Power Generation ā€“ Optimizing the performance of turbines and rotating equipment used in power plants, contributing to sustainable energy solutions.

His work provides valuable guidelines for industry professionals seeking to adopt intelligent diagnostic technologies in their operational processes.

šŸš€ Legacy and Future Contributions

Looking ahead, Mr. Zhao envisions his research playing a pivotal role in smart industry applications, particularly in the integration of AI-driven fault diagnosis for real-time monitoring systems. His future goals include:

  • Developing deep learning-based fault prediction models for rotating machinery.
  • Enhancing multi-sensor data fusion techniques to create autonomous diagnostic systems.
  • Collaborating with global research institutions and industry leaders to bring cutting-edge fault diagnosis technologies to market.

With his expertise and relentless pursuit of innovation, Mr. Zhao is set to leave a lasting legacy in the field of mechanical fault diagnosis and intelligent signal processing. His contributions will not only benefit academia but also transform industrial practices, making machinery smarter, safer, and more efficient.

 

 

Wenjian Mao | Health Sciences | Best Researcher Award | 13235

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Mr. Wenjian Mao | Health Sciences | Best Researcher Award

Mr. Wenjian Mao, Jinling Hospital, Nanjing University, China

Mr. Wenjian Mao is a postdoctoral researcher at the Department of Critical Care Medicine, Nanjing University, China. He holds a Medical Doctor degree from Nanjing Medical University and specializes in the diagnosis and treatment of acute pancreatitis, with a focus on clinical and experimental research. His academic contributions include multiple publications in prestigious journals, covering topics such as infected pancreatic necrosis, systemic anticoagulation, immune dysfunction, and kidney complications in acute pancreatitis. He is affiliated with Jinling Hospital, Nanjing University.

Profile

Orcid

Scopus

Early Academic Pursuits šŸŽ“

Wenjian Mao embarked on his academic journey in medicine with a strong foundation at Guangzhou Medical University, where he earned his Bachelor of Medicine degree between 2011 and 2016. During this time, he developed a keen interest in medical sciences, particularly in the field of critical care and acute conditions. Building upon this foundation, he pursued a Master of Medicine at Southern Medical University from 2016 to 2019. His academic pursuits were characterized by a rigorous exploration of clinical medicine, setting the stage for his specialization in acute pancreatitis. His passion for advancing medical knowledge and patient care led him to enroll in the Medical Doctor program at Nanjing Medical University, where he further honed his expertise from 2019 to 2022. This progression through highly regarded medical institutions equipped him with a strong clinical and research background that would later define his professional contributions.

Professional Endeavors šŸ„

Following his extensive education, Wenjian Mao took on the role of a postdoctoral researcher at Nanjing Universityā€™s Department of Critical Care Medicine. His professional experience is deeply rooted in the diagnosis and treatment of acute pancreatitis, a condition that presents significant challenges in critical care settings. His clinical practice at Jinling Hospital, affiliated with Nanjing University, has been instrumental in shaping his understanding of the diseaseā€™s complexities. He is actively engaged in both clinical and experimental research, striving to develop innovative approaches to the management and treatment of acute pancreatitis. His expertise encompasses patient assessment, therapeutic interventions, and longitudinal studies aimed at improving clinical outcomes. His work not only benefits individual patients but also contributes to the broader medical communityā€™s understanding of acute pancreatitis management.

Contributions and Research Focus šŸ“š

Wenjian Maoā€™s research is primarily focused on acute pancreatitis, with an emphasis on early detection, management, and patient outcomes. His scholarly contributions include a range of peer-reviewed publications that address critical aspects of pancreatitis treatment. His study on the prediction of infected pancreatic necrosis using the modified pancreatitis activity scoring system provides valuable insights into early intervention strategies. Additionally, his research on systemic anticoagulation in acute necrotizing pancreatitis patients has shed light on reducing hospital readmissions, improving patient recovery, and minimizing complications.

Other notable studies include his exploration of immune function in severe pancreatitis cases, where he was involved in a multicenter, double-blind, randomized controlled trial focusing on immune enhancement therapy. His work in identifying key biomarkers, such as mean absolute lymphocyte count as a predictor of infected pancreatic necrosis, further underscores his commitment to advancing diagnostic precision in the field. Moreover, his investigation into autoantibodies as independent risk factors for hypertriglyceridemia-induced pancreatitis recurrence highlights his innovative approach to understanding disease mechanisms. These contributions collectively enhance the medical communityā€™s ability to diagnose, treat, and manage acute pancreatitis more effectively.

Accolades and Recognition šŸ†

As a result of his groundbreaking work, Wenjian Mao has gained recognition in the medical research community. His studies have been published in reputable journals such as United European Gastroenterology Journal, Hepatobiliary Pancreatic Diseases International, Intensive Care Medicine, and the Journal of Clinical Lipidology. His findings have contributed to a growing body of literature that informs best practices in critical care and gastroenterology. Additionally, his collaborative efforts with other leading researchers have led to impactful studies on sepsis-related immune dysfunction and major adverse kidney events in pancreatitis patients. These accomplishments reflect his dedication to scientific excellence and his ongoing commitment to improving patient care.

Publication Top Notes

Triglyceride lowering in patients with different severities of hypertriglyceridaemia-associated acute pancreatitis: secondary analysis of a multicentre, prospective cohort study

Contributors:Ā Xiang Luo;Ā Xiaoling Li;Ā Xiaoyan Lai;Ā Wenjian Mao;Ā Lu Ke;Ā Lingyan Fu;Ā Lin Gao;Ā Yaolu Liu
Journal: BMJ Open Gastroenterology
Year: 2025

Immune-Enhancing Treatment among Acute Necrotizing Pancreatitis Patients with Metabolic Abnormalities: A Post Hoc Analysis of a Randomized Clinical Trial

Contributors:Ā Xiaofei Huang;Ā Wenjian Mao;Ā Xingxing Hu;Ā Fengxia Qin;Ā Hui Zhao;Ā Aiping Zhang;Ā Xinyu Wang;Ā Christian Stoppe;Ā Dandan Zhou;Ā Lu KeĀ et al.
Journal: Gut and Liver
Year: 2024

The Diagnosis and Treatment of Local Complications of Acute Necrotizing Pancreatitis in China: A National Survey

Contributors:Ā Xiaowu Dong;Ā Wenjian Mao;Ā Lu Ke;Ā Lin Gao;Ā Jing Zhou;Ā Bo Ye;Ā Gang Li;Ā Anthony Phillips;Ā Zhihui Tong;Ā John WindsorĀ et al.
Journal: Gastroenterology Research and Practice
Year: 2021

Zhao Jing | Functional polymer | Best Researcher Award | 13247

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Assoc. Prof. Dr. Zhao Jing | Functional polymer | Best Researcher AwardĀ 

Assoc. Prof. Dr. Zhao Jing, Xi’an polytechnic university, China

Assoc. Prof. Dr. Jing Zhao is a researcher at the School of Environmental and Chemical Engineering, Xiā€™an Polytechnic University, China. She holds a Ph.D. in Polymer Chemistry and Physics from Northwest University, China. Her research focuses on nanomaterials, biomimetic materials, and multifunctional materials, particularly in drug delivery systems and tissue engineering. She has published extensively on chitosan-based nanoparticles, hydrogels, and biomimetic catalysts, contributing to advancements in biocompatible and biodegradable materials for medical applications.

Profile

Scopus

šŸŽ“ Early Academic Pursuits

Dr. Jing Zhao was born on February 7, 1985, in Tangshan, Hebei Province, China. With a passion for chemical sciences, she embarked on an academic journey that led her to pursue a Bachelorā€™s degree in Chemical Engineering and Technology at North University of China, which she successfully completed in 2007. Recognizing her potential in polymer chemistry, she continued her education at North University of China and earned a Masterā€™s degree in Polymer Chemistry and Physics in 2010. Her thesis focused on the synchronistic synthesis and immobilization of cobalt porphyrins on microspheres GMA/MMA and researching the catalytic properties of supported cobalt porphyrins.

Her academic pursuits reached new heights when she enrolled at Northwest University, China, for her Ph.D. in Polymer Chemistry and Physics. During her doctoral studies, she worked on the preparation and properties of polymeric nanoparticles with a cell outer membrane biomimetic structure as a drug delivery system, showcasing her deep interest in biomaterials and nanotechnology.

šŸ’¼ Professional Endeavors

Dr. Zhao began her professional career in September 2013 as an Associate Professor at the School of Environmental and Chemical Engineering, Xiā€™an Polytechnic University. Her role has allowed her to mentor students and contribute significantly to the field of polymer science and engineering. Her research has focused on the development of advanced nanomaterials and biomimetic structures, aiming to enhance drug delivery systems and tissue engineering applications.

šŸ”§ Contributions and Research Focus

Dr. Zhaoā€™s research interests are centered around nanomaterials, multifunctional materials, and biomimetic materials. Her work primarily involves:

  • Biodegradable and Biocompatible Nanoparticles: Developing nanoparticles as efficient drug delivery carriers, particularly focusing on chitosan-based nanoparticles.
  • Injectable Hydrogels: Exploring their use as scaffold materials for tissue engineering, aiming to improve biocompatibility and drug delivery efficiency.
  • Polymeric Nanoparticles with Cell Outer Membrane Biomimetic Structures: Creating innovative solutions to mimic biological interactions for better therapeutic applications.
  • Biomimetic Catalysts: Investigating supported cobalt porphyrin catalysts for enhanced catalytic performance in various applications.

Her work has significantly contributed to the advancement of drug delivery mechanisms, particularly in the controlled release of both hydrophobic and hydrophilic drugs.

šŸ† Accolades and Recognition

Dr. Zhaoā€™s contributions to polymer chemistry and biomimetic nanomaterials have been recognized through numerous publications in reputable journals. Her research has been cited widely, reflecting the impact of her work on the scientific community. Some of her notable publications include:

  • “Multifunctional Polyvinyl Alcohol/Gallic Acid Functionalized Chitosan Hydrogels for Wound Dressings” (Reactive and Functional Polymers, 2024).
  • “Mussel-Mimetic Chitosan-Based Injectable Hydrogel as a Tissue Adhesive” (International Journal of Adhesion and Adhesives, 2023).
  • “PEGylated Chitosan Decorated UiOā€‘66 Nanoscale Metalā€“Organic Frameworks for Drug Delivery” (Colloid and Polymer Science, 2023).
  • “Chitosan-Based Nanoparticles for Controlled Release of Hydrophobic and Hydrophilic Drugs” (Bioinspired, Biomimetic and Nanobiomaterials, 2021).

Her research has played a crucial role in advancing biomimetic materials for medical applications, making significant strides in tissue engineering and drug delivery methodologies.

Publication Top Notes

Multifunctional polyvinyl alcohol/gallic acid functionalized chitosan hydrogels prepared by freeze-thaw method for potential application as wound dressings. Reactive and Functional Polymers,

Author: Lu Cui, Jing Zhao*, Yurui Wang, Xinyi Han, Lingheng Kong, Fei Liang.

Journal: Reactive and Functional Polymers

Year: 2024

Mussel-mimetic chitosan based injectable hydrogel with fast-crosslinking and water-resistance as tissue adhesive. International Journal of Adhesion and Adhesives

Author: Yurui Wang, Jing Zhao, Xiaoran Wang, Rong Zhang, Fei Liang

Journal: Adhesion and Adhesives

Year: 2023