kevser karakaya | Dentistry | Best Researcher Award

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Assist Prof Dr. kevser karakaya | Dentistry | Best Researcher Award

Kevser Karakaya, afyonkarahisar health science üniversity faculity of dentistry departmen of prosthodontics, Turkey

 

🦷 Kevser Karakaya is an Assistant Professor at Afyonkarahisar Health Science University, Faculty of Dentistry, Department of Prosthodontics. With a passion for dental science, she has dedicated her career to advancing prosthodontic practices and educating the next generation of dental professionals.

Profile

Scopus

Education

🎓 Kevser Karakaya earned her degrees in Dentistry and Prosthodontics, demonstrating academic excellence throughout her educational journey. Her rigorous training equipped her with the skills and knowledge necessary to excel in both clinical and academic settings.

Experience

💼 Kevser Karakaya has extensive experience in the field of Prosthodontics, holding a significant position at Afyonkarahisar Health Science University. Her professional journey is marked by her dedication to patient care, innovative research, and academic contributions.

Research Interests

🔬 Kevser Karakaya focuses on various aspects of Prosthodontics, including dental materials, implantology, and restorative dental techniques. Her research aims to improve clinical outcomes and enhance the quality of prosthetic treatments for patients.

Awards

🏆 Kevser Karakaya has been recognized for her outstanding contributions to dentistry. Her achievements reflect her commitment to excellence in research, education, and clinical practice in the field of Prosthodontics.

Publications Top Notes

📚Dr. Karakaya has published several articles in esteemed journals. Below are some of her notable publications:

  1. “Evaluation of the effect of the strength of bonding of different cleaner solutions and sandblasting on between acrylic and copolyester plate” – Published in Current Research in Dental Sciences in 2023, this article explores the impact of various cleaning solutions and sandblasting on the bond strength between acrylic and copolyester plates.
  2. “The Efficacy of Denture Cleansing Solutions in Stain Removal of Artificial Teeth” – Published in Journal of Dental Materials and Techniques in 2022, this research examines the effectiveness of various denture cleansing solutions in removing stains from artificial teeth.

xiaofeng huo | Mining engineering | Best Researcher Award

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Dr. xiaofeng huo | Mining engineering | Best Researcher Award

lecturer, Fuzhou University, China

Xiaofeng Huo is a dedicated lecturer at Fuzhou University, specializing in Mining Engineering. With extensive expertise in blast-induced damage mechanisms and numerical simulations, Xiaofeng has contributed significantly to the field through research and practical applications. His academic journey and professional experiences have equipped him with a robust understanding of both theoretical and practical aspects of mining engineering.

Profile

Scopus

Education 📚

  • Ph.D. in Mining Engineering: Central South University, Changsha, China (09/2019 – 06/2023)
  • M.Eng. in Mining Engineering: Central South University, Changsha, China (09/2016 – 06/2019)
  • B.Eng. in Mining Engineering: Central South University, Changsha, China (09/2012 – 06/2016)

Experience 🛠️

Xiaofeng Huo has led several research projects focusing on advanced blasting technologies and rock mass damage control. His notable projects include:

  • Research on Raising Technique Using Long-hole Blast in Tonglushan Mine (Jun. 2016 – Sept. 2018)
  • Safe and Efficient Mining for Deep Buried Rock Mass in Tonglushan Mine (Mar. 2017 – Sept. 2018)
  • Deep Mining – Fine Blasting Technology in Shaxi Mine (Jul. 2017 – Sept. 2019)
  • Precision Blasting Technology for Advanced Fracturing of Rock (Jul. 2017 – present)

Research Interests 🔍

Xiaofeng’s research interests encompass:

  • Blast-induced damage mechanisms and monitoring in highly stressed rock
  • Contour blasting and crack propagation models
  • Numerical simulation techniques (finite element and smoothed particle hydrodynamics)
  • Blasting engineering design and technology improvement

Awards 🏆

  • Outstanding Graduates, Central South University (2016)
  • Excellent Student Scholarship of East China Nonferrous Metals, Central South University (2014-2015)
  • Second Prize Scholarship, Central South University (2014-2015)
  • Group Second Prize of The Southern Surveying Cup, Central South University (2014-2015)
  • Excellent League Member, Central South University (2013-2014)
  • Excellent Student, Central South University (2013-2014)
  • National Encouragement Scholarship, Central South University (2013-2014)
  • First Prize Scholarship, Central South University (2013-2014, 2012-2013)
  • Outstanding Volunteer, Central South University (2012-2013)

Publications Top Notes📄

  1. Three-dimensional Finite Element Simulation and Reconstruction of Jointed Rock Masses for Bench Blasting
    • Journal: Simulation Modelling Practice and Theory, 2024
    • Cited by: Various articles in rock blasting and mining engineering research
    • Read Here
  2. Experimental and Numerical Investigation on the Peak Value and Loading Rate of Borehole Wall Pressure in Decoupled Charge Blasting
    • Journal: International Journal of Rock Mechanics and Mining Sciences, 2023
    • Cited by: Studies on borehole pressure and blasting techniques
    • Read Here
  3. Attenuation Characteristics of Blasting Stress Under Decoupled Cylindrical Charge
    • Journal: Rock Mechanics and Rock Engineering, 2023
    • Cited by: Research on stress attenuation in blasting
    • Read Here
  4. A Study on Raise Blasting and Blast-Induced Vibrations in Highly Stressed Rock Masses
    • Journal: Tunnelling and Underground Space Technology, 2022
    • Cited by: Investigations on raise blasting and vibration control
    • Read Here
  5. Rock Damage Control for Large-Diameter-Hole Lateral Blasting Excavation Based on Charge Structure Optimization
    • Journal: Tunnelling and Underground Space Technology, 2020
    • Cited by: Articles on blasting excavation and rock damage control
    • Read Here

Souhail Dhouib | Artificial Intelligence | Best Researcher Award

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Prof Dr. Souhail Dhouib | Artificial Intelligence | Best Researcher Award

Full Professor, Higher Institute of Industrial Management, University of Sfax, Tunisia

 

Prof. Souhail Dhouib, a Tunisian national born on June 18, 1972, is a distinguished figure in the realms of Artificial Intelligence and Operations Research. With over two decades of experience in academia and industry, he stands as a pioneering figure in decision making and planning methodologies, notably recognized for inventing the Dhouib-Matrix optimization concept.

Profile

Orcid

Education 🎓

Prof. Dhouib pursued his academic journey at the Faculty of Management and Economics Sciences, Sfax University, Tunisia, where he earned his Ph.D. in Quantitative Methods, his Master’s degree in Operations Research and Production Management, and his Bachelor’s degree in Management Information Systems.

Experience 💼

With a rich blend of academic prowess and practical acumen, Prof. Dhouib has served in various capacities. From being a General Manager to founding companies specializing in business software development, his expertise spans across industries. Moreover, his proficiency extends to consultancy for businesses and industries, shaping his role as a seasoned Operations Research Analyst.

Research Interests 🔍

Prof. Dhouib’s research interests revolve around Artificial Intelligence, Operations research, Optimization algorithms, Logistic, Supply Chain Management, Business Intelligence Systems, and Enterprise Resource Planning (ERP). His innovative approaches have garnered recognition in academia and industry alike.

Awards 🏆

Prof. Dhouib’s contributions have been acknowledged through numerous awards and accolades, symbolizing his impact and influence in the field of decision making and planning methodologies.

Publications Top Notes📚

Intelligent Path Planning for Cognitive Mobile Robot Based on DhouibMatrix-SPP Method – Cognitive Robotics, 2024.

Multi-Start Constructive Heuristic through Descriptive Statistical Metrics: The Dhouib-Matrix-4 Metaheuristic – International Journal of Operational Research, 2024.

Innovative Method to Solve the Minimum Spanning Tree Problem: The Dhouib-Matrix-MSTP (DM-MSTP) – Results in Control and Optimization, 2024.

Enhancing the Dhouib-Matrix-4 Metaheuristic to Generate the Pareto Non-Dominated Set Solutions for Multi-objective Travelling Salesman Problem: The DM4-PMO Method – Results in Control and Optimization, 2024.

Faster than Dijkstra and A* Methods for the Mobile Robot Path Planning Problem Using Four Movement Directions: The Dhouib-Matrix-SPP-4 – Advances in Transdisciplinary Engineering, Mechatronics and Automation Technology, 2024.

Sooyong Park | Blockchain | Best Researcher Award

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Dr. Sooyong Park | Blockchain | Best Researcher Award

Professor, Sogang University, South Korea

Sooyong Park, born on September 5, 1962, is currently the President of the National IT Industry Promotion Agency. With a distinguished career in computer science and information technology, he has contributed significantly to both academia and industry. He has held numerous advisory roles and leadership positions, influencing national IT strategies and policies in South Korea.

Profile

Scopus

Education 🎓

Sooyong Park’s educational journey began with a Bachelor of Science in Computer Science from Sogang University (1982-1986). He furthered his studies at the State University of Florida, earning a Master of Science in Computer Science (1986-1988). His academic pursuits culminated in a PhD in Information Technology from George Mason University (1990-1995).

Experience 💼

Sooyong Park’s professional career is marked by significant roles in various prestigious institutions. Since September 2012, he has been the President of the National IT Industry Promotion Agency. Additionally, he has served as a Technical Adviser for several organizations, including the Creative Economy Commission and the Federation of Korean Industries. His previous roles include Director at Sogang University’s Graduate School of Information & Technology and President of the Software Engineering Society. He also spent time as a Visiting Professor at Carnegie Mellon University and held senior positions at TRW ISC.

Research Interests 🔬

Sooyong Park’s research interests are diverse, focusing on software engineering, domain architectures, process improvement, and sustainable embedded software. His work often explores the intersection of software development methodologies and practical applications in industry, aiming to enhance efficiency and effectiveness in IT systems.

Awards 🏆

Throughout his career, Sooyong Park has received numerous accolades for his contributions to the field of computer science and information technology. His awards highlight his impact on software engineering research, policy advisory, and educational advancements in IT.

Publications Top Notes 📝

An approach to building domain architectures using domain component model and architectural tactics (2014, International Journal of Engineering Systems Modelling and Simulation) – Cited by 20 articles.

Process Correlation Analysis Model for Process Improvement Identification (2014, The Scientific World Journal) – Cited by 15 articles.

Detecting Inconsistent Names of Source Code Using NLP (2012, Communications in Computer and Information Science) – Cited by 10 articles.

Sustainable Embedded Software Lifecycle Planning (2012, IEEE Software) – Cited by 25 articles.

A rule-based approach for estimating software development cost using function point and goal and scenario based requirements (2012, Expert Systems with Applications) – Cited by 30 articles.

A Feature-Based Approach for Modeling Role-Based Access Control Systems (2011, Journal of Systems and Software) – Cited by 18 articles.

A Non-functional Requirements Traceability Management Method Based on Architectural Patterns (2011, Studies in Computational Intelligence) – Cited by 12 articles.

Which Crashes Should I Fix First Predicting Top Crashes at an Early Stage to Prioritize Debugging Efforts (2011, IEEE Transactions on Software Engineering) – Cited by 40 articles.

An Active Learning Framework for Object-Oriented Analysis and Design (2010, Computer Application in Engineering Education) – Cited by 8 articles.

Jamal Moshtagh | Power system | Best Researcher Award

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Prof. Jamal Moshtagh | Power system | Best Researcher Award

Faculty of Engineering, University of Kurdistan, Iran

Professor Jamal Moshtagh is a distinguished academic in the field of Power Electrical Engineering. He has made significant contributions to both academia and industry, particularly in the areas of fault location in underground cables, renewable energy, and power distribution networks. His extensive research has been widely cited, and he has been recognized with numerous awards for his contributions to electrical engineering.

Profile

Google Scholar

Education 🎓

Professor Moshtagh holds a Ph.D. in Power Electrical Engineering from the University of Bath (2002-2006), where he developed advanced signal processing and artificial intelligence techniques for fault location in low voltage underground cables. His Ph.D. was fully funded by Iran’s Ministry of Science, Research, and Technology. He also earned an M.Sc. in Power Electrical Engineering from K.N. Toosi University of Technology (1992-1995), focusing on transformer inrush current detection using neural networks. His academic journey began with a B.Sc. in Power Electrical Engineering from Sharif University of Technology (1984-1989), where he conducted computer-based short circuit calculations in Iran’s power network.

Experience 🛠️

Professor Moshtagh has published over 50 articles in prominent journals and presented numerous papers at national and international conferences. He authored a book on electrical engineering fundamentals and contributed a book chapter on electric vehicle charge scheduling. He has served as a referee for many Ph.D. projects and research initiatives at various Iranian universities and organizations. His work has received substantial recognition, evidenced by an h-index of 19 and i10-index of 26, with over 1050 citations.

Research Interests 🔬

His research interests encompass a broad spectrum of topics within electrical engineering, including:

  • Renewable Energy (Electric Vehicles, Solar Energy)
  • Reliability, Resilience, and Reconfiguration in Power Distribution Networks
  • Power Distribution Networks Expansion Planning
  • Economic Analysis of Power Distribution Systems

Awards 🏆

Professor Moshtagh’s excellence in research and education has been honored with several awards:

  • Top Researcher, EE Department, University of Kurdistan (2018, 2014, 2011, 2009, 2008)
  • Top Educational Professor, EE Department, University of Kurdistan (2014, 2010, 2009)
  • Top Researcher, Faculty of Engineering, University of Kurdistan (2009)
  • Highest-paid Researcher outside the university (2013)
  • Second Rank in National Construction Regulations Exams, Electrical Installations Field (2000)
  • Certificates of Appreciation from the Minister of Energy for outstanding articles in national conferences (1999, 1994)
  • Second Rank among M.Sc. graduates at K.N. Toosi University of Technology (1995)
  • Ranked 8th in National University Entrance Exam, Iran (1984)

Selected Publications 📄

A new approach to fault location in three-phase underground distribution system using combination of wavelet analysis with ANN and FLS
Published in: International Journal of Electrical Power & Energy Systems, 2014
Citations: 134
Link to Article

Operational scheduling of a smart distribution system considering electric vehicles parking lot: A bi-level approach
Published in: International Journal of Electrical Power & Energy Systems, 2019
Citations: 113
Link to Article

Smart distribution system operational scheduling considering electric vehicle parking lot and demand response programs
Published in: Electric Power Systems Research, 2018
Citations: 90
Link to Article

Radial distribution systems reconfiguration considering power losses cost and damage cost due to power supply interruption of consumers
Published in: International Journal on Electrical Engineering & Informatics, 2013
Citations: 86
Link to Article

Improved harmony search algorithm for electrical distribution network expansion planning in the presence of distributed generators
Published in: Energy, 2018
Citations: 56
Link to Article

Riley Derby | Primatology | Best Researcher Award

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Mr. Riley Derby | Primatology | Best Researcher Award

PhD student, The University of Texas at Austin, United States

Riley N. Derby is a dedicated researcher in the field of biological anthropology, focusing on primate behavior and ecology. With extensive experience in field research and a passion for conservation, Riley has contributed significantly to our understanding of social relationships among primates, particularly gorillas and chimpanzees. Currently pursuing a PhD at the University of Texas at Austin, Riley combines academic excellence with active engagement in various research projects and teaching roles.

Profile

Google Scholar

Education 🎓

Riley is currently a PhD student in Biological Anthropology at the University of Texas at Austin (2022-Present). Previously, Riley earned an M.S. in Primate Behavior and Ecology from Central Washington University (2019-2021), achieving a perfect GPA of 4.0. Riley’s academic journey began with a B.A. in Anthropology from the University of Texas at Austin (2015-2019), where they also minored in History and concentrated on Biological Anthropology.

Experience 🛠️

Riley’s research experience includes collecting behavioral and biological data on gorillas and chimpanzees. As a researcher for the Bwindi Gorilla Project, Riley focuses on behavioral data collection and sample analysis. Additionally, Riley contributes to the Ngogo Chimpanzee Project, furthering our understanding of primate behavior. Riley has also held teaching assistantships at both the University of Texas and Central Washington University, where they lectured, held office hours, and graded assignments.

Research Interests 🔬

Riley’s research interests lie in the social dynamics and behavioral ecology of primates. This includes studying the social relationships of mountain gorillas and the physical and social development of chimpanzees. Riley is particularly interested in how these social structures influence survival and reproduction, and how they can inform conservation strategies.

Awards 🏆

Riley has received numerous accolades for academic and research excellence. Notably, Riley maintained a perfect GPA during their master’s program and has been actively involved in several high-impact research projects. Riley’s dedication to primate research and conservation has been recognized through invitations to present at prestigious conferences and workshops.

Publications Top Notes 📚

Derby, R. N., Eckardt, W., Stoinski, T.S., Morrison, R.E., Sandel, A.A. (Accepted – Animal Behaviour). Female mountain gorillas form enduring social relationships.

Cited by: [Meeting of Midwest Primate Interest Group, St. Louis, MO (2023)].

Sandel, A. A., Derby, R. N., Chesterman, N. S., McNamara, A., Dudas, M. M., & Rawat, I. (2022). Parallel lasers and digital photography to estimate limb size of chimpanzees (Pan troglodytes) at Ngogo, Kibale National Park, Uganda. Primates, 63(3), 217–224. https://doi.org/10.1007/s10329-022-00982-6

Cited by: [Meeting of Texas Association of Biological Anthropology, Austin, TX (2022)].

Derby, R.N., Clift, J., Rawat, I., Reddy, R., Voyt, R.A., Sandel, A.A. (In prep). Variation in limb length and width in wild chimpanzees across adolescence and young adulthood.

Cited by: [American Association of Biological Anthropology, Los Angeles, CA (2024)].

Master’s Thesis: Derby, R.N., Mayhew, J.A., Sun, L., Martinez, C., Li, J-H. Playing with relatives: Genetic kinship and play behavior in juvenile Tibetan macaques.

Cited by: [New Directions in Anthropology Seminar Series (2023)]

YanHui Lu | Pest Control in Agriculture | Best Researcher Award

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Prof Dr. YanHui Lu | Pest Control in Agriculture | Best Researcher Award

Director, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, China

 

Dr. Yanhui Lu is the Director of the Institute of Plant Protection at the Chinese Academy of Agricultural Sciences (IPP, CAAS). He holds a PhD from CAAS and has significantly contributed to the fields of cotton pest biology, pest management, and insect ecology. With over 200 academic papers to his name, including 160+ SCI-indexed publications, Dr. Lu is a leading figure in agricultural research. His groundbreaking work on Bt transgenic cotton was recognized as one of China’s Top 10 Scientific Advances in 2012. His contributions have earned him prestigious accolades such as the China Youth Science and Technology Award and the China Outstanding Young Scientist Award.

Profile

Orcid

Education 🎓

Dr. Yanhui Lu earned his PhD from the Chinese Academy of Agricultural Sciences. His academic journey has been marked by a focus on agricultural sciences, particularly in the areas of pest biology and management. His education laid the foundation for his prolific research career, enabling him to make significant contributions to his field.

Experience 🧑‍🔬

Dr. Lu has an extensive professional background, serving as the Director of the Institute of Plant Protection at IPP, CAAS. He has completed five major research projects and is currently engaged in two ongoing projects. His work spans consultancy and industry projects in agricultural entomology and pest control. Additionally, Dr. Lu has published five books, secured 22 national invention patents, and is an editorial board member for the journals Plants and Agriculture Communications.

Research Interests 🔬

Dr. Lu’s research interests focus on cotton pest biology, insect ecology, and pest management. He is particularly noted for his work on the eco-validation of Bt transgenic cotton, which enhances the biological control of pests. His research aims to develop sustainable pest management strategies that benefit both agriculture and the environment.

Awards 🏆

Throughout his illustrious career, Dr. Lu has received numerous awards, including the 13th China Youth Science and Technology Award and the inaugural China Outstanding Young Scientist Award. His work has also been recognized with a National Science and Technology Progress Second Prize, multiple provincial-level prizes, and the prestigious Ho Leung Ho Lee Foundation Young Innovator Award.

Publications Top Notes 📚

Volatiles from essential oils of three Lamiaceae plants repel the winged cotton aphid, disturb its feeding behavior and reduce its fecundity Pest Management Science, 2024-04-26 | Journal Article

Impact of Nutritional Supplements on the Fitness of the Parasitoid Binodoxys communis (Gahan) Insects, 2024-04-03 | Journal Article

Effects of Seven Plant Essential Oils on the Growth, Development and Feeding Behavior of the Wingless Aphis gossypii Glover Plants, 2024-03-22 | Journal Article

Effects of Various Nectar and Pollen Plants on the Survival, Reproduction, and Predation of Neoseiulus bicaudus Insects, 2024-03-13 | Journal Article

 

Wentao Yan | Environmental Science | Best Researcher Award

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Prof Dr. Wentao Yan | Environmental Science | Best Researcher Award

Professor, Tongji university, China

📜 Dr. Wentao Yan is a distinguished Professor in the College of Architecture and Urban Planning (CAUP) at Tongji University in Shanghai, China. He has also served as a visiting scholar at the University of North Carolina at Chapel Hill, USA. Dr. Yan’s research primarily focuses on ecological urban and sustainable spatial development, urban resilience, and green infrastructure. His work addresses environmental sustainability in urbanization and urban growth, and he explores methods to make rapid urban growth processes more equitable, transparent, and socially and ecologically sustainable.

Education

🎓 Dr. Yan obtained his Ph.D. in Environmental Engineering from the University of Chongqing in 2007. He also holds a Master of Science in Urban Planning, earned in 1994, and a Bachelor of Science in Urban Planning, awarded in 1991, both from the University of Chongqing.

Experience

👨‍🏫 Dr. Yan has an extensive professional background. He has been a Professor at Tongji University since 2017. He was a visiting scholar at the University of North Carolina at Chapel Hill (2013-2014) and at the Royal College of Science and Engineering in Melbourne, Australia (2011). Before his current role, he served in various academic positions at the University of Chongqing, including Associate Professor and Post-Doctoral Researcher.

Research Interests

🔬 Dr. Yan’s research interests include ecological urban and sustainable spatial development, urban resilience, and green infrastructure. He focuses on creating tools for low carbon and ecological city developments and formulating resilience-oriented urban planning theory and practice.

Awards

🏆 Dr. Yan has received numerous accolades, such as the First Prize of the Geographic Information Technology Award in 2018 for his work on rainwater models and the Uwater Platform. He has also been recognized with the Second Prize of the Huaxia Construction Science and Technology Award in 2016 and several urban planning and design awards from various esteemed organizations.

Publications

📚 Dr. Yan has published extensively. Here are a few highlighted works:

  1. Li Z, Yan W*, Wang L. (2024). Measuring mobility resilience with network-based simulations of flow dynamics under extreme events. Transportation Research Part D: Transport and Environment. Link.
  2. Huang Y, Yan W*, Wende W, Xiao S. (2024). A multi-scale identification and optimization framework of ecological sources for different conservation objectives. Landscape and Urban Planning. Link.
  3. Song C, Yan W*, Huang Y, Wang L. (2024). An assessment framework of PM2.5 exposure based on residents’ travel process using mobile phone data. Landscape and Urban Planning. Link.
  4. Ren J, Yan W*. (2024). Defining urban network resilience: a review. Frontiers of Urban and Rural Planning. Link.

Qing Wei | Ecological protection | Best Researcher Award

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Mr. Qing Wei | Ecological protection | Best Researcher Award

Ph.D, Tongji University, China

Qing Wei, a dedicated researcher from China, specializes in watershed eco-hydrology and environmental flow studies. Currently, a doctoral candidate at Tongji University, Qing’s work focuses on the interactions between hydrological processes and ecological systems. By developing mathematical models and tools, Qing aims to support sustainable water resource management, ensuring the health of aquatic ecosystems while meeting human demands.

Profile

Orcid

Education 🎓

Qing Wei has a strong academic background in environmental science and engineering. Qing is pursuing a Doctoral Degree at Tongji University (2020-2024). Prior to this, Qing earned a Master’s Degree from Hohai University (2017-2020), and a Bachelor’s Degree from Chang’an University (2013-2017), specializing in environmental science and hydrology.

Experience 💼

Qing has accumulated valuable experience in both academia and research. Recognized as an outstanding graduate student multiple times at Hohai University, Qing has contributed to significant projects like the National Natural Science Foundation of China and the Jiangsu Provincial Water Science and Technology Project. These experiences have honed Qing’s expertise in eco-hydrological research and water resources management.

Research Interests 🔬

Qing’s research interests are centered on urban sewerage systems, machine learning applications in hydrology, mathematical modeling of pipe networks, ecological water protection, and comprehensive water resources management. Qing’s work aims to develop innovative solutions for sustainable water use and environmental protection.

Awards 🏆

Qing Wei has been honored with numerous awards, including the 2020 and 2019 Outstanding Graduate Student of the University at Hohai University, and the First Prize in the 15th China Postgraduate Mathematical Modeling Competition. These accolades reflect Qing’s commitment to excellence in research and academia.

Publications Top Notes📚

“Analysis of driving forces on ecohydrological regime and environmental flow changes in Hongze Lake, China”
Ecological Informatics (2024)
DOI: 10.1016/j.ecoinf.2023.102423
Cited by several subsequent studies exploring ecohydrological changes.

“A hybrid deep learning approach to improve real-time effluent quality prediction in wastewater treatment plant”
Water Research (2024)
DOI: 10.1016/j.watres.2023.121092
Cited for advancing real-time monitoring techniques in wastewater treatment.

“Analysis on water use efficiency of Populus euphratica forest ecosystem in arid area”
Theoretical and Applied Climatology (2021)
DOI: 10.1007/s00704-021-03636-7
Noted for its insights into water use efficiency in arid ecosystems.

“Spatial and temporal evolution of water structure and spatial matching analysis of water resources in Manas River Basin”
Water Resources Protection (2021)
This work contributes to understanding water resource distribution in river basins.

“Cumulative ecohydrological response to hydrological processes in arid basins”
Ecological Indicators (2020)
DOI: 10.1016/j.ecolind.2019.106005
Influential in studies of hydrological impacts on ecological systems.

Wei Meiqi | Exercise and health promotion | Best Researcher Award

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Dr. Wei Meiqi | Exercise and health promotion | Best Researcher Award

PhD Candidate, Northeast Normal University, China

Meiqi Wei is a dedicated PhD candidate specializing in Exercise and Health Promotion at Northeast Normal University. Her academic journey began with a Bachelor’s degree in Sports Medicine from Shandong First Medical University, followed by a Master’s in Exercise and Human Science from Jilin University. She is actively engaged in research at the Chinese Center of Exercise Epidemiology, focusing on the integration of Big Data and AI with health promotion. Meiqi has published several influential papers and contributed significantly to interdisciplinary projects aimed at improving public health through data-driven insights.

Profile

Orcid

Education 🎓

Meiqi Wei’s educational background is marked by a strong foundation and advanced studies in sports and health sciences. She earned her B.S. in Sports Medicine from Shandong First Medical University. This was followed by an M.S. in Exercise and Human Science from Jilin University. Currently, she is pursuing her PhD in Exercise and Health Promotion at Northeast Normal University, where she continues to develop her expertise and contribute to her field.

Experience 💼

Throughout her academic career, Meiqi Wei has gained substantial experience in both research and practical applications of exercise and health sciences. She has been actively involved as a researcher in Computational Biology at the Chinese Center of Exercise Epidemiology. Her work spans several collaborative projects and consultancy roles, highlighting her ability to apply her research to real-world health challenges. Her experience is further solidified by her contributions to numerous high-impact scientific publications.

Research Interests 🔬

Meiqi Wei’s research interests lie at the intersection of Big Data, Artificial Intelligence, and Health Promotion. She focuses on leveraging computational biology methodologies to enhance epidemiological strategies. Her work aims to transform public health practices through data-driven insights, particularly in the areas of sarcopenia, physical fitness, and frailty in older adults. Her innovative approach seeks to improve the well-being of diverse populations by integrating advanced technological solutions into health promotion.

Awards 🏆

Meiqi Wei’s contributions to her field have been recognized through multiple nominations and accolades. She has authored three first-author SCI papers and published seven articles in indexed journals, three of which she led. Additionally, she holds two patents and has been involved in several high-profile collaborative projects. These achievements underscore her commitment to advancing health promotion through rigorous and impactful research.

Publications Top Notes📄

  1. Self-determined sequence exercise program for elderly with sarcopenia: A Randomized controlled trial with clinical assistance from explainable artificial intelligence
  2. Hybrid Exercise Program Enhances Physical Fitness and Reverses Frailty in Older Adults: Insights and Predictions from Machine Learning
  3. The Effectiveness of a Hybrid Exercise Program on the Physical Fitness of Frail Elderly
  4. Hybrid Exercise Program for Sarcopenia in Older Adults: The Effectiveness of Explainable Artificial Intelligence-Based Clinical Assistance in Assessing Skeletal Muscle Area