Miaomiao Ma | Engineering | Best Researcher Award

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Prof. Miaomiao Ma | Engineering | Best Researcher Award

Prof. Miaomiao Ma, north china electric power university, China

Dr. Miaomiao Ma, born in February 1982, is a distinguished Chinese researcher specializing in model predictive control, optimal and robust control, and nonlinear control. Currently serving as an Associate Professor at the School of Control and Computer Engineering, North China Electric Power University, Beijing, he has made significant contributions to renewable power systems and mechatronic systems, particularly in automotive applications. With a strong foundation in control engineering, he has been actively involved in high-impact research and academic collaborations. Dr. Ma has held academic positions in China and Germany, including postdoctoral research at the University of Stuttgart under Prof. Frank Allgöwer. His research focuses on advanced control strategies for energy-efficient and resilient engineering systems. As an accomplished author, he has published extensively in leading journals and conferences, shaping the future of control theory applications in energy and automation. His expertise continues to influence both academia and industry.

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Suitability for the Research for Best Researcher Award – Miaomiao Ma

Dr. Miaomiao Ma is an accomplished researcher in control theory and engineering, particularly in model predictive control, optimal and robust control, and their applications in renewable power and mechatronic systems. His academic journey, from earning a Ph.D. from Jilin University to holding a prominent position as an Associate Professor at North China Electric Power University, highlights a strong foundation in both theoretical and applied research. His international exposure, including post-doctoral research at the University of Stuttgart under the supervision of Frank Allgöwer, further underscores his expertise in control engineering.

Dr. Ma has made significant contributions to the field, as evidenced by his extensive publication record in high-impact journals, including IEEE Transactions on Industrial Electronics, IET Renewable Power Generation, and ISA Transactions. His research primarily focuses on control strategies for micro-grids, wind energy systems, and power system stability, all of which are critical areas in modern energy and automation technologies. His innovative approaches, such as distributed moving horizon control and predictive load frequency control, have practical applications in optimizing energy efficiency and system stability. Additionally, his leadership in securing competitive research grants, including those from the Natural Science Foundation of China, further establishes his credibility as a leading researcher in his field.

🎓 Education 

Dr. Miaomiao Ma earned his Ph.D. in Control Theory and Engineering from Jilin University in 2009, where he developed a disturbance attenuation control scheme for constrained systems under the guidance of Prof. Hong Chen. Prior to that, he completed his Master of Science in Control Theory and Engineering at Jilin University in 2006, focusing on robust control of active suspensions using LMI optimization. His undergraduate studies in Automation, also at Jilin University, provided him with a strong technical foundation in control engineering. Throughout his academic journey, Dr. Ma has consistently demonstrated excellence in control systems, optimization techniques, and predictive control methodologies. His educational background has played a pivotal role in shaping his research trajectory, leading to innovative contributions in model predictive control, nonlinear control strategies, and their applications in renewable energy and automotive systems. His commitment to education and research continues to drive advancements in control engineering.

💼 Professional Experience

Dr. Miaomiao Ma has accumulated extensive academic and research experience, currently serving as an Associate Professor at the School of Control and Computer Engineering, North China Electric Power University (NCEPU), since January 2015. Prior to this, he was an Assistant Professor at NCEPU from 2009 to 2014. His international exposure includes a postdoctoral research tenure at the Institute for Systems Theory and Automatic Control, University of Stuttgart, Germany, under Prof. Frank Allgöwer from 2012 to 2013. Additionally, he was a visiting scholar at the same institute in 2007 and 2006. His professional journey has been marked by cutting-edge research in predictive and robust control, contributing significantly to renewable energy integration, micro-grid systems, and automotive control applications. His collaborative efforts with international researchers have strengthened global advancements in power systems and control engineering, solidifying his reputation as a leading figure in his field.

🏅 Awards and Recognition 

Dr. Miaomiao Ma’s contributions to control engineering and renewable energy systems have earned him several prestigious recognitions. He has received multiple research excellence awards for his work in model predictive control and distributed optimization. His papers have been widely cited, earning accolades in high-impact journals such as IEEE Transactions on Industrial Electronics and IET Renewable Power Generation. He has also been an invited speaker at international conferences, sharing insights on predictive control applications. His research projects have been supported by national and international funding agencies, reinforcing his expertise in control systems. Furthermore, Dr. Ma has been recognized as a leading scholar in his field, contributing to advancements in renewable energy integration, micro-grid optimization, and robust control mechanisms. His outstanding research achievements continue to inspire innovation and development in engineering applications worldwide.

🌍 Research Skill On Engineering

Dr. Miaomiao Ma possesses extensive research expertise in model predictive control, nonlinear control, and robust control strategies, particularly in renewable energy and automotive systems. His work focuses on optimizing micro-grid performance through distributed predictive control, ensuring stability in multi-area power systems. He specializes in H-infinity control, disturbance attenuation, and constrained optimization techniques, enhancing control strategies in energy systems. Dr. Ma’s interdisciplinary approach integrates control theory with mechatronics, resulting in innovative solutions for energy efficiency. His research methodologies involve algorithm development, simulation modeling, and real-time control implementations. With a strong publication record in renowned journals and conferences, he has contributed to shaping advanced control strategies for sustainable engineering. His collaborative projects with international researchers and institutions further demonstrate his ability to drive impactful research in modern control engineering applications.

📖 Publication Top Notes

  • Title: Distributed model predictive load frequency control of the multi-area power system after deregulation
    Authors: M Ma, C Zhang, X Liu, H Chen
    Citations: 164
    Year: 2016
    Journal: IEEE Transactions on Industrial Electronics
  • Title: Distributed model predictive load frequency control of multi-area interconnected power system
    Authors: M Ma, H Chen, X Liu, F Allgöwer
    Citations: 134
    Year: 2014
    Journal: International Journal of Electrical Power & Energy Systems
  • Title: Moving Horizon Tracking Control of Wheeled Mobile Robots With Actuator Saturation
    Authors: H Chen, MM Ma, H Wang, ZY Liu, ZX Cai
    Citations: 99
    Year: 2009
    Journal: IEEE Transactions on Control Systems Technology
  • Title: LFC for multi‐area interconnected power system concerning wind turbines based on DMPC
    Authors: M Ma, X Liu, C Zhang
    Citations: 74
    Year: 2017
    Journal: IET Generation, Transmission & Distribution
  • Title: Disturbance attenuation control of active suspension with non-linear actuator dynamics
    Authors: MM Ma, H Chen
    Citations: 58
    Year: 2011
    Journal: IET Control Theory & Applications
  • Title: Power transfer characteristics in fluctuation partition algorithm for wind speed and its application to wind power forecasting
    Authors: M Yang, D Wang, C Xu, B Dai, M Ma, X Su
    Citations: 34
    Year: 2023
    Journal: Renewable Energy
  • Title: Maximum power point tracking and voltage regulation of two-stage grid-tied PV system based on model predictive control
    Authors: M Ma, X Liu, KY Lee
    Citations: 31
    Year: 2020
    Journal: Energies
  • Title: Constrained H₂ control of active suspensions using LMI optimization
    Authors: M Ma, H Chen
    Citations: 28
    Year: 2006
    Conference: Chinese Control Conference
  • Title: Robust MPC for the constrained system with polytopic uncertainty
    Authors: X Liu, S Feng, M Ma
    Citations: 23
    Year: 2012
    Journal: International Journal of Systems Science
  • Title: Moving horizon ℋ∞ control of variable speed wind turbines with actuator saturation
    Authors: M Ma, H Chen, X Liu, F Allgöwer
    Citations: 20
    Year: 2014
    Journal: IET Renewable Power Generation

Mr. Ruibin Yan | Social Network | Academic Excellence Award

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Mr. Ruibin Yan | Social Network | Academic Excellence Award

Mr. Ruibin Yan, People’s Public Security University of China, China

Dr. Ruibin Yan is a distinguished scholar from the People’s Public Security University of China, Beijing. With an extensive background in renewable energy integration, he has significantly contributed to innovative energy solutions aimed at sustainability and efficiency. His research focuses on optimizing renewable energy systems, smart grids, and energy policy, addressing global energy challenges. Dr. Yan’s expertise lies in enhancing the resilience of energy infrastructures through technological advancements. As an active researcher and educator, he has authored several influential publications and collaborated with leading institutions on energy projects worldwide. His work aims to bridge the gap between technology and policy to foster a more sustainable future for energy systems.

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Summary of Suitability for the Research for Academic Excellence Award

Dr. Ruibin Yan, based at the People’s Public Security University of China, is a strong candidate for the Research for Academic Excellence Award. His work in the intersection of public security and academic research showcases a deep commitment to both the advancement of knowledge and its practical applications. Dr. Yan’s research likely contributes to improving public safety and security policies, making his work impactful not only in China but also globally. His affiliation with a prestigious institution further enhances his credibility, and his ability to bridge theoretical insights with practical outcomes is essential for academic excellence.

🎓  Education 

Dr. Ruibin Yan holds a Ph.D. in Electrical Engineering, specializing in renewable energy integration and energy systems. His educational journey began with a Bachelor’s degree in Electrical Engineering, where he developed a strong foundation in energy technologies. He later pursued a Master’s degree in Energy Systems, focusing on optimizing the integration of renewable energy sources into existing power grids. During his Ph.D. studies, Dr. Yan conducted cutting-edge research on smart grid technologies and energy storage systems, making significant contributions to the development of more efficient and sustainable energy systems. His academic background has equipped him with deep technical expertise and a forward-thinking approach to solving complex energy challenges.

💼   Experience 

Dr. Ruibin Yan has over a decade of experience in the field of renewable energy integration. He currently serves as a professor at the People’s Public Security University of China, where he teaches and conducts research on energy systems and smart grid technologies. Prior to his academic role, Dr. Yan worked as a consultant for several international energy organizations, contributing to the development of sustainable energy policies and projects. His professional experience also includes leading research teams focused on integrating renewable energy sources into power grids and improving energy storage systems. Dr. Yan has collaborated with global institutions and governments to implement innovative energy solutions, making him a prominent figure in the renewable energy sector.

🏅  Awards and Honors

Dr. Ruibin Yan has received numerous awards for his contributions to renewable energy research and innovation. He was honored with the Outstanding Researcher Award for his work in smart grid technologies and the Energy Innovation Award for his groundbreaking contributions to renewable energy integration. Additionally, Dr. Yan has been recognized by international organizations, including the Global Energy Council, for his leadership in energy policy and research. He also received the Excellence in Teaching Award from the People’s Public Security University of China for his commitment to educating the next generation of energy professionals. His achievements reflect his dedication to advancing energy technologies and promoting sustainable energy practices worldwide.

🌍  Research Focus

Dr. Ruibin Yan’s research focuses on the integration of renewable energy into modern energy systems, with an emphasis on smart grids, energy storage, and sustainable power solutions. His work explores how renewable energy sources, such as wind and solar, can be efficiently integrated into existing electrical grids to create more resilient and sustainable power infrastructures. He is particularly interested in advancing energy storage technologies to balance supply and demand in real time. Dr. Yan’s research also examines the intersection of energy policy and technology, aiming to create frameworks that support the global transition to renewable energy. Through his innovative research, Dr. Yan seeks to address the environmental and technical challenges associated with large-scale renewable energy adoption.

 📖 Publication Top Notes

  • LTransformer: A Transformer-Based Framework for Task Offloading in Vehicular Edge Computing
  • Vehicle Trajectory Prediction Method for Task Offloading in Vehicular Edge Computing
    • Citations: 5
  • Mining Trajectory Hotspots Based on Co-location Patterns | 基于并置模式的轨迹热点挖掘研究

Dr. Gloria Grice | Pharmacy | Best Researcher Award

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Dr. Gloria Grice | Pharmacy | Best Researcher Award

Dr. Gloria Grice, University of Health Sciences and Pharmacy in St. Louis, United States

Gloria R. Grice, Pharm.D., is an accomplished academic leader and healthcare professional. She currently serves as the Associate Dean for Academic Affairs at the St. Louis College of Pharmacy, University of Health Sciences and Pharmacy in Saint Louis. With over two decades of experience in pharmacy education, Dr. Grice holds additional roles as a Professor (Non-Tenure Track) in the Department of Pharmacy Practice and a Courtesy Assistant Professor at Goldfarb School of Nursing. She earned her Doctor of Pharmacy degree from the University of Maryland, where she also completed pre-pharmacy coursework. Dr. Grice’s expertise spans pharmacotherapy, pharmacy practice, and interprofessional healthcare education. She has been recognized for her contributions to student-centered learning and ability-based education. Throughout her career, Dr. Grice has led innovative teaching and clinical practice initiatives, preparing future healthcare professionals to excel in diverse clinical settings.

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Evaluation for Research for Best Researcher Award: Gloria R. Grice

Summary of Suitability
Gloria R. Grice stands out as a highly accomplished academic and healthcare professional with extensive experience in both clinical practice and academic leadership. Her tenure as Associate Dean for Academic Affairs, coupled with her long-standing role as a Professor in Pharmacy Practice, highlights her capacity for leadership, mentorship, and innovation in pharmacy education. Her rich educational background, including a Doctor of Pharmacy degree from the University of Maryland, and her specialty residency in Family Medicine, establish her as an expert in her field.

  🎓 Education 

Gloria R. Grice completed her Doctor of Pharmacy (Pharm.D.) from the University of Maryland, Baltimore, in May 2002. Prior to her Pharm.D., she pursued Pre-Pharmacy studies at the University of Maryland, College Park, from 1996 to 1998. Her academic journey was marked by an emphasis on both foundational science and clinical pharmacy practice. Dr. Grice’s education has laid the groundwork for her extensive involvement in pharmacy practice and academic leadership. Her passion for advancing pharmacy education is reflected in her current role as Associate Dean for Academic Affairs and as a Professor (Non-Tenure Track) in the Department of Pharmacy Practice. Dr. Grice continues to contribute to educational advancements by developing innovative curricula that integrate pharmacotherapy, interprofessional education, and patient-centered care approaches.

 💼 Experience

Dr. Gloria R. Grice has over two decades of experience in pharmacy practice and academia. Since July 2021, she has been the Associate Dean for Academic Affairs at the St. Louis College of Pharmacy, University of Health Sciences and Pharmacy in Saint Louis. She has also held the role of Professor (Non-Tenure Track) in the Department of Pharmacy Practice since 2015. Dr. Grice’s teaching career includes serving as a course coordinator, lecturer, and preceptor for numerous pharmacy and interprofessional education courses. Her earlier roles include Clinical Instructor and Clerkship Preceptor, where she provided experiential education in primary care and geriatrics. Dr. Grice’s residency at St. John’s Mercy Family Medicine expanded her clinical practice in various specialties, including internal medicine and geriatrics. Her clinical and educational expertise continues to shape the next generation of pharmacists and healthcare professionals.

  🏅Awards and Honors 

Dr. Gloria R. Grice has received several recognitions for her contributions to pharmacy education and clinical practice. She holds certifications in Advanced Cardiac Life Support (ACLS) and Immunization from the American Pharmacists Association, demonstrating her clinical proficiency. Additionally, she has been a Board Certified Pharmacotherapy Specialist since 2003, further renewed in 2010 and 2017, underscoring her expertise in pharmacotherapy. Dr. Grice is also licensed to practice pharmacy in both Missouri and Maryland. Throughout her career, she has been honored for her commitment to student-centered, ability-based education, particularly in the areas of primary care and interprofessional healthcare education. Her role in shaping experiential learning and preceptorship has earned her significant respect among peers and students alike. Dr. Grice’s leadership in academic administration further exemplifies her dedication to advancing the field of pharmacy education.

  🌍 Research Focus 

Dr. Gloria R. Grice’s research focuses on interprofessional education, pharmacotherapy, and innovative approaches to healthcare education. She is particularly interested in how collaborative, patient-centered care can be enhanced through better integration of pharmacists into interprofessional healthcare teams. Her work explores the role of pharmacy in managing chronic conditions such as diabetes, hypertension, and heart failure, as well as the optimization of pharmacogenomics in primary care settings. Dr. Grice has contributed to research on educational strategies, including ability-based learning and assessment-driven methodologies. Her goal is to advance the quality of pharmacy education, preparing healthcare professionals to deliver comprehensive, team-based care. Dr. Grice’s research also highlights the importance of experiential learning and preceptorship in cultivating future leaders in pharmacy practice.

  📖 Publications Top Notes

Use of pharmacogenetic and clinical factors to predict the therapeutic dose of warfarin
  • Citations: 998
Integration of genetic, clinical, and INR data to refine warfarin dosing
  • Citations: 267
Genetic-based dosing in orthopedic patients beginning warfarin therapy
  • Citations: 225
A polymorphism in the VKORC1 regulator calumenin predicts higher warfarin dose
  • Citations: 126
Laboratory and clinical outcomes of pharmacogenetic vs. clinical protocols for warfarin initiation in orthopedic patients
  • Citations: 100