Ekaterina Pavlova | Blockchain | Best Researcher Award

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Mrs. Ekaterina Pavlova | Blockchain | Best Researcher Award

Ekaterina Pavlova at Skolkovo Institute of Science and Technology, Russia📖

Dr. Ekaterina Pavlova is a dynamic Research Engineer with over three years of experience in R&D, specializing in distributed systems, artificial intelligence (AI), and computer vision (CV). Her expertise spans blockchain, neural network quantization, and innovative IoT solutions. Ekaterina is adept at rapidly acquiring new technologies, working collaboratively in multidisciplinary teams, and delivering innovative solutions under tight deadlines. She has a proven track record of research and development in cutting-edge domains, contributing significantly to projects that bridge academia and industry.

Profile

Scopus Profile

Orcid Profile

Education Background🎓

  • PhD in Distributed Computational Technologies (Honor) – St. Petersburg University
  • Master’s in Distributed Computational Technologies – St. Petersburg University | GPA: 4.8
  • Bachelor’s in Programming and Information Technology – St. Petersburg University | GPA: 4.6
  • Graduate Studies – Waseda University, Fukuoka, Japan
  • Certifications: MEXT Scholarship Recipient

Professional Experience🌱

1. Software Engineer, Lanit-Tercom (Jul 2022 – Present)

  • Developed decentralized applications (DApps) for blockchain, reducing operational costs and enhancing multi-network support.
  • Integrated APIs for augmented reality and optimized NFT data loading by 25%.
  • Conducted cross-chain research and implemented smart contract solutions.

2. Software Engineer, Huawei Russian Research Institute (Oct 2022 – Feb 2023)

  • Pioneered advancements in neural network quantization, improving computation speed and accuracy.

3. Research Laboratory Assistant, SPBU – Huawei (Dec 2020 – Jul 2022)

  • Conducted research in voice conversion and neural network development, leading to a 2% increase in model precision.

4. Software Engineer, Distributed Ledger Technology Center (Feb 2019 – Jul 2020)

  • Built DApps for Ethereum, integrated blockchain with IoT devices, and optimized Flask backend systems.
Research Interests🔬

Dr. Pavlova’s research focuses on distributed systems, blockchain technology, AI, computer vision, IoT integration, and real-time neural network applications. She has contributed to enhancing underwater video analysis systems, optimizing data pipelines, and advancing fault detection in industrial settings.

Author Metrics

Dr. Ekaterina Pavlova has established herself as a prolific contributor to the field of distributed systems, artificial intelligence, and blockchain technologies, with her research gaining notable recognition in academic and industrial domains. Her work has garnered approximately 200 citations, reflecting the impact and relevance of her contributions to the scientific community. With an h-index of 7, Dr. Pavlova demonstrates consistent influence through high-quality publications, and her i10-index of 5 highlights her ability to produce multiple papers that have been cited extensively. Her research publications span reputable journals and international conferences, underscoring her dedication to advancing technology and solving real-world challenges.

Publications Top Notes 📄

1. Underwater Biotope Mapping: Automatic Processing of Underwater Video Data

  • Authors: Iakushkin, O.O., Pavlova, E.D., Lavrova, A.K., Shabalin, N.V., Sedova, O.S.
  • Publication: Proceedings of Science, 2022, Vol. 429.
  • Abstract and Related Documents: Not accessible.
  • Citation Count: 0
  • Type: Conference Paper
  • Summary: This paper discusses the automated processing of underwater video data for biotope mapping using advanced computational methods, with a focus on efficiency and accuracy in underwater ecosystem analysis.

2. Automated Marking of Underwater Animals Using a Cascade of Neural Networks

  • Authors: Iakushkin, O., Pavlova, E., Pen, E., Shabalin, N., Sedova, O.
  • Publication: Lecture Notes in Computer Science (LNCS), 2021, Vol. 12956, pp. 460–470.
  • Abstract and Related Documents: Not accessible.
  • Citation Count: 2
  • Type: Conference Paper
  • Summary: This research presents a cascade of neural networks for the automated marking of underwater animals. It emphasizes efficient data processing and innovative neural network architecture to enhance detection accuracy in underwater environments.

3. Modelling the Interaction of Distributed Service Systems Components

  • Authors: Iakushkin, O., Malevanniy, D., Pavlova, E., Fatkina, A.
  • Publication: Lecture Notes in Computer Science (LNCS), 2020, Vol. 12251, pp. 48–57.
  • Abstract and Related Documents: Not accessible.
  • Citation Count: 0
  • Type: Conference Paper
  • Summary: This paper explores the modeling of distributed service system components, focusing on their interaction dynamics. It provides valuable insights into the efficient design of distributed applications across networked environments.

4. Architecture of a Smart Container Using Blockchain Technology

  • Authors: Iakushkin, O., Selivanov, D., Pavlova, E., Korkhov, V.
  • Publication: Lecture Notes in Computer Science (LNCS), 2019, Vol. 11620, pp. 537–545.
  • Abstract and Related Documents: Not accessible.
  • Citation Count: 1
  • Type: Conference Paper
  • Summary: The study proposes a smart container architecture leveraging blockchain technology to improve logistics and data integrity in supply chain management.

Conclusion

Dr. Ekaterina Pavlova is a deserving candidate for the Best Researcher Award, given her proven track record of impactful research, interdisciplinary expertise, and strong contributions to emerging technologies like blockchain and AI. Her innovative solutions and dedication to solving real-world challenges set her apart as a dynamic and forward-thinking researcher. With continued emphasis on collaboration and dissemination, Dr. Pavlova is poised to make even more significant contributions to her field in the future.

Wei Zhang – Digital algorithms – Best Researcher Award

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Wei Zhang – Digital algorithms – Best Researcher Award

Dr. Wei Zhang distinguished academic and researcher in the field Digital algorithms. Zhang Wei and Liu Hui have collaborated on several scholarly articles addressing rural economic issues in China. In their 2020 publication in “Jiangsu Agricultural Sciences,” they examined the “Problems and Countermeasures in the Development of Rural Collective Economy,” using Fenyi County, Jiangxi Province as a case study. This article, found in volume 48, issue 21, pages 28-33, discusses specific challenges faced by rural economies and proposes various strategies for improvement.

🌐 Professional Profiles

Educations📚📚📚

From September 2016 to June 2019, he pursued his Bachelor of Marketing at Hefei University of Technology. He continued his studies at Hunan Agricultural University, where he earned a Master of Agricultural and Forestry Economics and Management, completing the program in June 2021. Building on his academic achievements, he began his PhD in Capability Economic Management at the same university in September 2021, with an expected completion date of June 2025.

Research Experience

Zhang Wei and Liu Hui have collaborated on several scholarly articles addressing rural economic issues in China. In their 2020 publication in “Jiangsu Agricultural Sciences,” they examined the “Problems and Countermeasures in the Development of Rural Collective Economy,” using Fenyi County, Jiangxi Province as a case study. This article, found in volume 48, issue 21, pages 28-33, discusses specific challenges faced by rural economies and proposes various strategies for improvement. Following this, in 2022, they published an article in “Price Theory and Practice,” where they analyzed the effectiveness of reforms in the rural collective property rights system from the perspective of farmer participation. This research, featured in the March 2022 issue on pages 169-172 and 205, was underpinned by a survey of 315 farmer households across Hunan and Jiangxi provinces, offering valuable insights into the impact of these reforms on rural communities.

Project experience

He hosted the 2023 Hunan Provincial Postgraduate Research Innovation Project Key Project, CX20230730, which focused on the Research on the Contract and Performance of Farmland Infrastructure Governance under Endowment Heterogeneity. He also played a significant role in contributing to several major research projects. He participated in writing a major project for the Hunan Provincial Social Science Fund, numbered 23ZWA14, which involved researching the Current Situation and Countermeasures of Rural Collective Economic Development in Hunan Province. Additionally, he contributed to the general project of the Hunan Provincial Social Science Fund, 21YBA079, which examined the governance mechanism and performance of high-standard farmland in the context of food and ecological security. His research contributions extended to the Hunan Provincial Natural Science Foundation’s general project, 2023JJ30312, focusing on the mechanism and performance of digital technology in empowering farmland water conservancy facilities. Moreover, he was involved in writing for a project under the Hunan Provincial Development and Reform Commission that researched coordinated food and ecological security in the middle and lower reaches of the Yangtze River plain, considering “resources-factors-policies.”

Personal honor

He achieved notable recognition in various academic competitions and forums. At the 2021 Modern Agricultural Development Forum and the First “World Agriculture” Workshop in the context of “Dual Cycles,” he won the second prize in the paper competition. His research excellence continued into the following year when he won the first prize for outstanding paper at the 2022 Hunan Rural Economics Association Annual Meeting. Additionally, he received the award for the second “Economic Management Quantitative Research Methods” Excellent Paper at the School of Economics, Hunan Agricultural University. He also actively participated in advanced training sessions, including the “Jiangsu Province Applied Economic Research Methodology” workshop organized by the Economics Graduate Education Steering Committee of Jiangsu Province and the School of Economics and Management of Nanjing Agricultural University, where he earned the title of qualified student. Furthermore, he attended the “2021 Summer Econometrics and Scientific Research Methods Lecture Series” at the School of Statistics and Mathematics of Zhongnan University of Economics and Law, also achieving the status of qualified student.

 

📝🔬Publications📝🔬

Hui Zhu – Financial Management – Best Researcher Award

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Prof Dr. Hui Zhu  distinguished academic and researcher in the field Financial Management. She has extensive academic experience in the field of finance. She currently serves as an Associate Professor of Finance at the Faculty of Business and IT at Ontario Tech University in Canada, a position she has held since 2018, where she also attained tenure. Prior to this role, she served as an Assistant Professor of Finance on a tenure-track basis from 2014 to 2018 at the same institution. Additionally, she has contributed to the academic community as an Adjunct Professor at the Telfer School of Management at the University of Ottawa from 2018 to 2021 and as an Assistant Professor of Finance on a tenure-track basis at the Shannon School of Business at Cape Breton University from 2012 to 2014. Her dedication to teaching and research underscores her commitment to the field of finance.

🌐 Professional Profiles

Educations📚📚📚

She holds a Ph.D. in Economics from Queen’s University in Kingston, ON, Canada, which she completed in 2010. Prior to this, she earned an M.A. in Economics from the University of Victoria in Victoria, BC, Canada, in 2005. Her academic journey began with a Bachelor of Science in Computer Science from North China Electric Power University in China, which she completed in 1991. Through her diverse educational background, she has equipped herself with a strong foundation in economics and computer science, contributing to her interdisciplinary approach to research and teaching.

RESEARCH INTERESTS

Fixed Income Securities, Initial Public Offerings, Corporate Innovation, Corporate Social Responsibility,
International Finance

CREDENTIALS

She has acquired several credentials and certifications to enhance her teaching and professional skills. These include completing the Online Income Tax Planning Refresher for Corporate Tax course offered by Chartered Professional Accountants of Ontario (CPA Ontario) in Canada in 2017. Furthermore, she earned The Certificate in University Teaching from the University of Ontario Institute of Technology in Ontario, Canada, also in 2017. Her commitment to teaching excellence is further demonstrated through her participation in programs such as the Teaching Squares Program at the University of Ontario Institute of Technology in 2016, and her receipt of a Faculty Teaching Certificate from the University of Calgary in Alberta, Canada, in 2010. Prior to this, she completed the Instructional Skills Workshop at the University of Calgary in 2009 and the Course Design and Teaching Workshop at Queen’s University in Kingston, ON, Canada, also in 2009. These credentials underscore her dedication to pedagogical development and excellence in teaching practices.

🔍RESEARCH EXPERIENCE🔍

She has secured various research funding grants to support her academic endeavors and scholarly pursuits. Notably, she served as the Principal Investigator for the Building EDI Knowledge in Research grant at Ontario Tech University, receiving $4,500 to conduct research on EDI conference in Labour and Gender Economics in 2023-2024. Additionally, she was awarded a Visiting Scholar Grant from Johannes Kepler University Linz in Austria, amounting to Euro 2646.96, to investigate Board Characteristics, CSR Controversies, and Firm Value during the same period.

Furthermore, she has been the recipient of grants from the Social Sciences and Humanities Research Council (SSHRC), including an Insight Development Grant totaling $54,182 for the project titled “Pension Deficits and Financial Distress in an Innovative Environment” from 2018 to 2023. Other SSHRC grants she has obtained include the SSHRC Small Grants Program 2023 – Explore Stream at Ontario Tech University ($7,000) and SSHRC Small Partnership Grant ($13,912) in June 2017-March 2018.

She has also received research funding from various institutions to support her work, including the FBIT Summer Research Support ($1,000) at Ontario Tech University in May 2016 – August 2016, and Research Policy Grant at Cape Breton University ($16,000) from 2012 to 2014, among others. These grants reflect her success in securing financial support for her research endeavors, highlighting her contributions to the academic community.

CONFERENCES🎓🌐

She has presented her research findings at numerous prestigious conferences worldwide, showcasing her expertise and contributions to the field of finance. Noteworthy presentations include her investigation into the influence of firms’ purchase obligations on their choice of debt structure at the Southwestern Finance Association annual conference (SWFA) in 2024, and her exploration of the impact of firm life cycle on bond ratings and yields at the European Financial Management Association annual conference (EFMA) in 2023.

Additionally, she has presented research on various topics such as the implications of social trust on corporate social responsibility, the effect of going public in the U.S. market on corporate innovative activities, and the relationship between cost of debt and customer concentration risk at conferences including the 3rd Canadian Sustainable Finance Network Annual Conference (CSFN), the Multinational Finance Society Annual Conference (MFS), and the Midwest Finance Association Annual Conference (MFA).

Her extensive conference presentations demonstrate her commitment to disseminating research findings and engaging with the academic community on topics spanning corporate finance, innovation, and economic freedom. Through these presentations, she has contributed valuable insights to scholarly discourse and advanced understanding in her field.

📚BOOK CHAPTERS📚

John, K., S. Saadi, and H. Zhu. 2014. Liquidity Risk, in H. Kent Baker and Greg Filbeck, eds.,
Investment Risk Management (pp. 141-154), Oxford University Press.

She has received numerous honors and awards in recognition of her contributions to academia and research. At Ontario Tech University, she was honored with the FBIT Research Excellent Award in both the Senior Researcher Category for 2022-2023 and the Early Stage Researcher Category for 2019-2020. Additionally, she was nominated by students for the Student Choice Award at the Teaching and Learning Center in 2019, reflecting her effectiveness and impact as an educator.

Her scholarly achievements extend beyond her university affiliations. She was recognized as a scholarship recipient for the 2022-2023 Faculty Mobility for Partnership Building Program at the University of the West Indies in Barbados and as a scholarship recipient for the Canada-China Scholars Exchange Program at Fudan University in 2019. Moreover, she received prestigious awards during her academic pursuits, such as the Postdoctoral Fellowship at the University of Calgary from 2009 to 2012 and the Ph.D. Graduate Scholarship at Queen’s University from 2005 to 2009.

Furthermore, her research has garnered acclaim, including being listed in the Top Ten Download List for Social Science Research Network (SSRN) Financial Economics Network for her work on institutional barriers to cross-border LBOs. She has also received Best Paper Awards at conferences such as the Rome 2016 Conference on “Corporate Innovation and Cost of Capital” and has been nominated by students as one of the most outstanding professors in the Faculty of Business and IT at Ontario Tech University.

These honors and awards underscore her excellence in both research and teaching, highlighting her significant contributions to her field and her impact on students and colleagues alike.

INVITED SEMINARS🎓

Hui Zhu has been invited to present her research findings and expertise at various seminars, webinars, and conferences around the world. Notable presentations include seminars on topics such as “Do Firms’ Purchase Obligations Influence Their Choice of Debt Structure?” at Johannes Kepler University Linz in Austria, “Investment Essentials” at the University of the West Indies Cave Hill Campus in Barbados, and “The Implications of Social Trust on Corporate Social Responsibility: International Evidence” at the Institute for Sustainable Finance (IFS) webinar hosted by Queen’s University.

She has also delivered seminars on “Pension Deficits and Financial Distress in an Innovative Environment” at various universities in China, including Hunan Agricultural University, Jiangsu University, East China University of Political Science and Law, and East China Normal University.

Furthermore, she has presented her research at seminars and conferences in Canada and other countries, covering topics such as crash risk, investor horizon, institutional investors, and forecast modeling.

These invitations highlight her expertise and reputation in the field of finance, as well as the international recognition of her research contributions.

📝🔬Publications📝🔬

 

 

Zehra Ural Bayrak – Technological Networks – Best Researcher Award

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 Zehra Ural Bayrak – Technological Networks

Prof Dr. Zehra Ural Bayrak  distinguished academic and researcher in the field  Technological Network.  Her academic achievements, she has enriched her expertise through various scholarly endeavors. As a Research Scholar at the University of Michigan, MI, USA, she contributed to advancements in her field from November 2010 to October 2011. Furthermore, she broadened her horizons through an Erasmus Teaching Staff Mobility program at the University of Applied Science in Zwickau, Germany, in November 2018. These experiences have not only bolstered her knowledge but also enhanced her ability to collaborate internationally and contribute to the global academic community.

🌐 Professional Profiles

Educations📚📚📚

She holds a Ph.D. in Electrical-Electronics Engineering from Firat University, earned between 2007 and 2014. Prior to that, she completed her Master of Science degree in the same field at Dicle University from 2004 to 2007. Her academic journey commenced with a Bachelor of Science in Electrical-Electronics Engineering at Firat University, where she graduated in 2004.

International conference

She has actively participated and presented her research findings at numerous international conferences and symposiums, showcasing her expertise and contributions to the field of electrical engineering, particularly focusing on fuel cell systems and renewable energy technologies.

Throughout her academic career, she has made significant contributions to various aspects of PEM (Proton Exchange Membrane) fuel cells, including dynamic simulation, mathematical modeling, design, and application areas. Her research endeavors have been recognized at prestigious events such as the II. International Hydrogen Energy Congress&Exhibition in Istanbul, the 10th International Conference on Clean Energy in Famagusta, N. Cyprus, and the ICRERA conferences held in Madrid, Spain, and Milwaukee, USA.

Additionally, she has explored the integration of fuel cells with other renewable energy sources, such as photovoltaic cells and micro-hydro power plants, demonstrating her commitment to advancing sustainable energy solutions. Her work extends beyond theoretical studies, as evidenced by her involvement in simulation and experimental studies, as well as the design of power management systems for residential solar-hydrogen power plants.

Furthermore, she has applied her expertise to innovate in the realm of hybrid power systems for unmanned aerial vehicles (UAVs), presenting her designs and performance analyses at international symposiums such as the International Symposium on Sustainable Aviation in Istanbul.

Her research also delves into optimization techniques, such as chaos embedded particle swarm optimization, for parameter estimation in PEM fuel cell models, highlighting her proficiency in applying advanced methodologies to enhance system efficiency.

Overall, her extensive participation in international conferences and symposiums underscores her dedication to advancing the field of renewable energy and fuel cell technology through rigorous research, innovative designs, and collaborative efforts within the global academic community.

Publication

Guanglei Zhao – Networked Multiagent Systems – Best Researcher Award

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Guanglei Zhao – Networked Multiagent Systems

Prof. Guanglei Zhao distinguished academic and researcher in the field Networked multiagent systems , He is an Associate Professor with the Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China. He has been actively involved in the field of academia, steadily progressing through various roles at Yanshan University. Since November 2020, he has served as a Professor, contributing to the university’s academic environment and research endeavors. Prior to this, from December 2017 to October 2020, he held the position of Associate Professor, demonstrating his dedication and expertise in his chosen field.

Before advancing to an associate professorship, he served as a Lecturer from January 2015 to November 2017, where he honed his teaching skills and imparted knowledge to students. His academic journey began in October 2012 when he assumed the role of a Research Fellow at The University of Melbourne, showcasing his commitment to research and contributing to the global academic community. Through these various roles, he has accumulated a wealth of experience and knowledge, making valuable contributions to both teaching and research domains

🌐 Professional Profiles

Educations: 📚🎓

He has a robust academic background, marked by his progressive pursuit of higher education in the field of engineering and control systems. In December 2014, he achieved his PhD in Control Theory and Control Engineering from Shanghai Jiao Tong University, a significant milestone that highlights his deep understanding and expertise in his field. Prior to this, in June 2009, he earned his Master’s degree in Systems Engineering from Huazhong University of Science and Technology, further solidifying his foundation in engineering principles and systems analysis. His academic journey commenced with the attainment of his Bachelor’s degree in Automation from Yantan University in June 2007, where he laid the groundwork for his future academic and professional endeavors. This educational pathway has equipped him with a comprehensive skill set and theoretical knowledge, essential for his subsequent achievements in academia and research.

Research Interest

control systems design, cooperative control of robot systems, networked control systems

 

📚Top Noted Publication
[1]. Hailong Cui, Guanglei Zhao, Shuang Liu, Zhijie Li, A Novel Adaptive Event-Triggered
Consensus Control Approach to Multi-Agent Systems with Guaranteed Positive MIET, IEEE
Transactions on Network Science and Engineering, 2023, 10.1109/TNSE.2023.3296450.
[2]. Hailong Cui, Guanglei Zhao, A Decentralized Dynamic Self-Triggered Control Approach
to Consensus of Multiagent Systems, IEEE Transactions on Systems, Man, and Cybernetics:
Systems, 53(9):5772-5783, 2023.
[3]. Guanglei Zhao, Quanzhong Liu, Prescribed-time Containment Control of High-order
Nonlinear Multi-Agent Systems Based on Distributed Observer, Journal of the Franklin
Institute, 360(10), 6736-6756, 2023.
[4]. Guanglei Zhao, Lanqing, Jin, Distributed Adaptive Dynamic Event-Triggered Secondary
Control for Islanded Microgrids with Disturbances, IEEE Transactions on Smart Grid,
14(6), 4268-4281, 2023.
[5]. Guanglei Zhao, Changchun Hua, Hybrid Event-Triggered Cooperative Output Regulation
of Multi-Agent Systems with Unreliable Communication Link, IEEE Transactions on
Cybernetics, 2023, 10.1109/TCYB.2023.3257140
[6]. Guanglei Zhao, Lanqing Jin, Hailong Cui, Yifeng Wang, Distributed Dynamic EventTriggered Secondary Control for Islanded Microgrids With Disturbances and Communication
Delays: A Hybrid Systems Approach, IEEE Transactions on Industrial Informatics,
19(8):8795-8805, 2023.
[7]. Guanglei Zhao, Changchun Hua, A Hybrid Systems Approach to Event-Triggered
Consensus of Multiagent Systems With Packet Losses, IEEE Transactions on Systems, Man,
and Cybernetics: Systems,53(3):1773-1787, 2023.
[8]. Guanglei Zhao, Hailong Cui, Changchun Hua, Hybrid Event-Triggered Bipartite Consensus
Control of Multi-Agent Systems and Application to Satellite Formation, IEEE Transactions
on Automation Science and Engineering, 20(3): 1760-1771, 2023.
[9]. Guanglei Zhao, Lanqing Jin, Yifeng Wang, Distributed Event-Triggered Secondary Control
for Islanded Microgrids With Disturbances: A Hybrid Systems Approach, IEEE Transactions
on Power Systems, 38(2):1420-1431, 2023..
[10]. Guanglei Zhao, Changchun Hua, Leaderless and Leader-Following Bipartite Consensus
of Multi-Agent Systems with Sampled and Delayed Information, IEEE Transactions on
Neural Networks and Learning Systems, 34(5):2220-2233, 2023.
[11]. Guanglei Zhao, Changchun Hua, Shuang Liu, Sampled-Data Dynamic Output Feedback
Consensus Control of Multi-Agent Systems, IEEE Transactions on Network Science and
Engineering, 9(5):3292-3301, 2022. 10.1109/TNSE.2022.3174224