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.

Mian Ibad Ali Shah -Multi-agent systems -Best Researcher Award

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Mian Ibad Ali Shah -Multi-agent systems -Best Researcher Award

Mr. Main Ibad Ali Shah  distinguished academic and researcher in the field Multi- Agent System. 

🌐 Professional Profile

Educations📚📚📚

He is currently pursuing a Ph.D. in Computer Science with a focus on Reinforcement Learning and AI at the University of Galway, Ireland, which he began in 2022. Prior to this, he earned a Master of Science in Computer Systems Engineering with a specialization in Data Science from the University of Engineering & Technology, Peshawar, Pakistan, between 2018 and 2020. He also holds a Bachelor of Science in Computer Systems Engineering from the same university, completed between 2014 and 2018. His academic journey began with an F.Sc. in Pre-Engineering from Edwards College Peshawar, Pakistan, from 2012 to 2014, and he completed his Matriculation at Edwards College School Peshawar, Pakistan, between 2010 and 2012.

 Experience:

He is currently serving as a Lab Engineer in the Department of Computer Systems Engineering at the University of Engineering & Technology Peshawar, Pakistan, a role he has held since September 2019. In this capacity, he teaches courses in Data Analytics & Business Intelligence, covering Statistics, Machine Learning, and Deep Learning, as well as Web Engineering. He ensures the practical implementation of case studies using tools and languages such as MS Excel, Tableau, R, Python, and MySQL. Previously, he worked as a Project Engineer at the US-Pakistan Center for Advanced Studies in Energy UET Peshawar, in collaboration with the Pakistan Air Force, from August 2018 to June 2019. There, he led a team in condition monitoring and predictive maintenance of an aircraft using machine learning, conducting data analysis and literature review to identify key variables and develop predictive maintenance techniques. From September 2017 to July 2018, he was an Undergraduate Researcher at the US-Pakistan Center for Advanced Studies in Energy, in collaboration with USAID and Arizona State University, where he led the development of a socio-technical model for distributed sustainable green energy power plants, creating a database and conducting data analysis following social and technical surveys in Pakistan. Additionally, he has gained diverse work experience, including roles as a Visiting Lecturer/Instructor at the Institute of Management Sciences Peshawar, teaching Data Analytics & Business Intelligence with hands-on case studies, and as a Trainer/Instructor at the University of Galway for Computer Programming courses for young students, along with serving as a Graduate Teaching Assistant for undergraduate programming courses. He has also served as a Program Coordinator/Trainer for the National Vocational & Technical Training Commission of Pakistan, managing a program and providing training on Cloud Computing, civic sense, entrepreneurial and soft skills. Furthermore, he has experience in entrepreneurship, having owned and managed Thali Spot Restaurant in Peshawar, Pakistan. His organizational and management skills are demonstrated through his roles as Director of the Literary & Debating Society, PR Executive of the Computer Society at the University of Engineering & Technology Peshawar, and as an Ambassador and Volunteer for the Office of the Local Government in Khyber Pakhtunkhwa Province.

Trainings, Certifications & Conferences

He has earned an IBM Data Engineering Professional Certificate in 2023 and completed the Advanced Business Analytics Specialization on Coursera. He is also a Huawei Certified ICT Associate in AI (HCIA-AI). In 2019, he completed both “The Business Intelligence Analyst Course” and “The Data Science Course 2019 Complete Data Science Bootcamp” on Udemy. He has participated in several conferences, attending the International Conference on Sustainable Energy on September 12-13, 2017, and the 5th International Conference on Energy, Environment, and Sustainable Development in November 2018 as an author. Additionally, he attended the International Science-Policy Conference on Climate Change in Pakistan in 2018. He has furthered his expertise by attending a workshop on “Fundamentals of Deep Learning for Computer Vision” by the NVIDIA Deep Learning Institute. His training credentials include Cisco Certified Network Associate certifications in both Routing & Switching and Security. Moreover, he arranged and attended a hands-on workshop on developments in Reach JS.

Awards

He has been awarded a fully funded Ph.D. scholarship by Science Foundation Ireland for the EIRE AIAI Project, spanning from 2022 to 2026. His academic and research efforts were recognized when he secured the second runner-up position in the Project Poster Competition at the International Conference on Sustainable Energy Technologies held on September 12-13, 2017, in Islamabad, highlighting the concept and quality of his research. He received a grant of 2 million PKR from the Government of KP Pakistan’s Youth Impact Challenge for his startup initiative. Additionally, he achieved runner-up positions in Speed Programming competitions at the I.T Fiesta’15 at UET Peshawar and Code Crunch’16 at IMSciences Peshawar.

Notable Projects

He has undertaken several notable projects, utilizing a diverse set of skills and technologies. His COVID-19 analysis project involved the use of descriptive, predictive, and prescriptive statistics and data analytics, employing tools such as Python, Tableau, Power BI, and Excel. For fault prognostics of hydro power projects, he applied data analytics and machine learning using Python, R, Tableau, and Excel. He worked on condition monitoring and predictive maintenance of a jet aircraft using machine learning techniques with R, Stata, Excel, MATLAB, and Python. He developed a socio-technical mathematical model for sustainable distributed green energy using R, Tableau, and MS Access. In his analysis of the Peshawar Development Authority’s Driver and Road Assessment Project, he compared the architecture, efficiency, ease, and cost of cloud versus on-premise solutions using Amazon Web Services for IoT and data analytics. He also set up and configured a Cisco networking lab in the Department of Computer Systems Engineering at UET Peshawar using Cisco networking technologies. He configured a Linux server for Tesla K40 to apply protein alignment algorithms and data compression (JPEG) on the GPU, utilizing CUDA and Ansible. Additionally, he simulated system process handling on a multicore processor and developed a programming syntax compiler using C language. He created a first-person shooter game with Unity and C#, and completed multiple embedded systems and IoT projects with microcontrollers. Lastly, he developed and designed websites using DBMS, CMS, HTML, CSS, and PHP.

📝🔬Publications📝🔬