Yasemin ATEŞEYAN – Public Health Nursing – Top Researcher Award

Published on by Network Science

Yasemin ATEŞEYAN – Public Health Nursing – Top Researcher Award

🌐 Professional Profile

Educations📚📚📚

She earned her Bachelor’s degree in Nursing from Gülhane Military Medical Academy School of Nursing in 2012. She then pursued a Master’s degree in Public Health Nursing at Gaziantep University, completing it in 2017. Continuing her education at Gaziantep University, she obtained a Ph.D. in Nursing, specializing in Public Health Nursing, in 2021.

 

📝🔬Publications📝🔬

  • Ateşeyan Y, Güngörmüş Z. Evidence-BasedPracticalCompetencies of NursingStudents. EurasianJournal of HealthSciences6 (1), 1-10, 2022
  • Özcanarslan N, Ateşeyan Y, Özel A, Coşkun Ö. Determiningthe Internet AddictionLevelsandRelatedFactors of AdministrativeStaffWorking in a UniversityHospital. Gevher NesıbeJournal Of MedıcalAndHealthScıences 7 (17), 13-21, 2022.
  • Ateşeyan Y, Güngörmüş Z. (2022).Evaluatıon of COVID-19 PerceptıonsandComplıanceWıthIsolatıonPrecautıonsof HealthProfessıonalsWıthınScopeof HealthBelıef Model. GöbeklitepeInternational Journal Of MedicalSciences, 5 (7), 148-162.
  • Zıvdır P, Ateşeyan Y, Özcanarslan N. (2022). TurkıshSocıety’sAttıtudetoVıolenceAgaınstWomen. Göbeklitepe International Journal Of MedicalSciences. 5 (7), 66-74.
  • Ateşeyan Y,Ateşeyan K, Ateşeyan H, Yılmaz H. (2023). ConsciousAwareness in Peer Bullying (Mindfulness). Journal of HealthSciencesandClinicalResearch. 1(2):23-31.
  • Ateşeyan Y, Bayülgen M Y, Özcanarslan N, Yeşilyurt P Z,Çetın Ö. (2023).NURSES’ BelıefsAndAttıtudesTowardsEnteral/ParenteralNutrıtıon (Hemşirelerin Enteral/Parenteral Beslenmeye Yönelik İnanç veTutumları). YOBU Faculty of HealthSciencesJournal, 4(2), 83-93.

Sulyman Abdulkareem – Network Intrusion Detection – Best Researcher Award

Published on by Network Science

Sulyman Abdulkareem – Network Intrusion Detection – Best Researcher Award

Assoc Prof Dr. Sulyman Abdulkareem  distinguished academic and researcher in the field Network Intrusion Detection. He is a performance-driven Project Manager with an extensive academic background in Management and Information Systems and over 10 years of experience managing cross-functional teams to drive cost-effective technology solutions and execute key business projects in a technical environment. He has a proven ability to effectively manage knowledge, communicate, collaborate, and coordinate core IT functions, third parties, and vendors on initiatives to ensure project integration and alignment with overall requirements, security, compliance, standards, and quality assurance. Adept at managing all aspects of solution delivery, he excels in research, analysis, scope definition, resource planning and allocation, budget management, document development, status reporting, risk management, and change control.

🌐 Professional Profile

Educations📚📚📚

He holds a Doctor of Philosophy in Information and Communication Systems from the University of Surrey and a Master of Science in Management Information Systems with Distinction from Coventry University. Additionally, he has earned several professional certifications, including PRINCE 2 Foundation, CMI Level 7 in Professional Consulting, CMI Level 7 in Strategic Management and Leadership, and a certification in Security Policy Development.

 

PROFESSIONAL EXPERIENCE

Since October 2019, he has been serving as a Project Manager at IMBIL Consultancy Services Limited in London. In this role, he implemented a new Case Management System (CMS) tailored to the department’s specific needs, leading to a 40% increase in workflow efficiency and overall productivity of the legal department. He oversaw the development and implementation of a comprehensive enterprise resource planning (ERP) system for a major client, coordinating cross-functional teams, managing timelines and budgets, and ensuring the project met all specified requirements. He led the integration of a machine learning model into a client solution to predict customer behavior for e-commerce activities, enhancing business intelligence and personalized marketing strategies. Additionally, he implemented a data security system for a financial client in compliance with GDPR, ensuring all project activities adhered to relevant industry standards. He conducted daily stand-ups, regular project retrospectives, and feedback sessions, identifying areas for improvement and implementing process optimizations. By refining development processes, improving communication within the project team, and adopting new tools, he enhanced team efficiency and project quality. He standardized the filing system and promoted the use of cloud documentation and storage via SharePoint. Efficiently organizing and coordinating meetings with stakeholders, he scheduled, sent out invitations, prepared meeting agendas, took minutes, and distributed them promptly to ensure clear communication and accountability. He successfully optimized project processes by conducting gap analysis, gathering data on current processes, identifying associated KPIs, and redesigning these processes to improve alignment with desired outcomes, achieving a 65% improvement in these processes.

 

Doctoral Researcher –University of Surrey

He coordinated the DEDICAT 6G project in collaboration with industry giants like Airbus, Nokia, and Orange under the EU’s Horizon 2020 program, securing over €6 million in funding to enhance network efficiency and security. He led the design and implementation of an advanced Network Intrusion Detection Classifier for IoT networks, achieving superior efficiency and effectiveness compared to existing solutions. His groundbreaking research efforts culminated in the publication of a paper titled “IoT Network Intrusion Detection with Ensemble Learners,” detailing the development and success of an innovative network intrusion detection classifier. He collaborated effectively with project team members and security consultants at Mafic Ltd, contributing significantly to the successful completion of IoT solutions by documenting crucial research findings. He demonstrated proficiency in stakeholder management, and agile, waterfall, lean, PRINCE 2, SAFe, and SDLC methodologies. His expertise spans service management, risk and business analysis, process optimization, planning and budgeting, user acceptance testing (UAT), system administration, change management, requirements analysis, and documentation and reporting. He secured smooth laboratory operations and maintained up-to-date standardized operating procedures, resulting in a remarkable 90% success rate in meeting project deadlines. His planning and organizational skills ensured smooth operations by designing a comprehensive weekly schedule, maximizing productivity and efficiency.

As a lecturer at the University of Ilorin from February 2018 to September 2019, he collaborated with a software firm to develop new cybersecurity protocols, providing students with practical experience and creating innovative solutions that benefited the company. He established numerous partnerships with tech companies to collaborate on applied research projects. He led a pioneering research project on renewable energy technologies, engaging undergraduate and graduate students, yielding sustainable energy solutions and publishable research findings that significantly advanced the academic community’s understanding and the industry’s capabilities. He led annual research conferences and regular workshops at the university, where students and faculty could present their project findings, focusing on trending topics such as AI and inviting industry experts to provide networking opportunities for students. He supervised undergraduate projects, guiding more than 20 students through their research endeavors, achieving a remarkable 100% pass rate and witnessing a notable 20% increase in student engagement and active participation in various research and development initiatives. He successfully managed undergraduate class assignments and assessments, resulting in a high 95% completion rate and a notable 15% grade improvement by implementing strategies such as ensuring 95% lecture attendance and enhancing lecture materials, which reduced failure rates by 5% and fostered increased student engagement.

IT Project Manager

• Successfully led the Lifestalia Loan app project delivery within budget and ahead of schedule; Partnered with Apple and Google to deploy
on the App Store and Google Play store. Collaborated with cross-functional teams to uphold the Agile methodology in delivering this project,
resulting in a 30% improvement in project delivery time and a 15% increase in team productivity.
• Implemented UX enhancements based on findings, conducted comprehensive user research and analysis, and identified pain points and
areas for improvement within the app interface. Achieved a 25% increase in user satisfaction and a 20% decrease in user churn rate.
• Collaborated with the Power BI team to create real-time dashboards accessible to cross-functional teams, providing actionable insights into
current user trends, app usage metrics, and the impact of new and already-existing processes, improving decision-making by 60%.
• Effectively managed a high caseload of tasks while maintaining standards and adhering to established protocols. Prioritised tasks based on
urgency, efficiently allocating time and resources to assist clients and attend to other essential duties.
• Responsible for developing and maintaining project documentation. Utilised Trello, Jira, SharePoint, MS Project, and Visio in managing
multiple projects simultaneously within tight deadlines, ensuring seamless communication among stakeholders by preparing project status
& progress reports. Oversaw project timelines, budget tracking, and risk management to ensure the timely delivery of high-quality solutions
that meet client expectations and drive business growth.
• Oversaw transitioning on-premises servers, applications, and data to cloud-based platforms, AWS specifically. Elicited and documented
requirements for the change and developed UAT scripts and comprehensive migration steps.
• Established a robust risk management framework using the RAID log to identify, assess, and mitigate risks across project operations.
Conducted risk assessments, developed risk registers, and implemented risk mitigation strategies, resulting in a proactive approach to risk
management and a 15% reduction in compliance-related incidents.
• Prepared business and financial cases that contained forecasts, methods, assumptions, adopted metrics and sensitive analysis to help
management and other stakeholders make informed decisions before, during, and after any project.

📝🔬Publications📝🔬

Chia-Wen Lu – Preventive medicine – Best Researcher Award

Published on by Network Science

Chia-Wen Lu – Preventive medicine – Best Researcher Award

Assoc Prof Dr. Chia-wen-Lu  distinguished academic and researcher in the field Preventive Medicine. She has been an attending physician in the Department of Family Medicine at the National Taiwan University Hospital since 2013. In addition to her clinical role, she has served as a clinical lecturer in the Department of Family Medicine at the College of Medicine, National Taiwan University since 2016. Her academic career progressed as she became a clinical assistant professor in 2019, and she has recently been appointed as a clinical associate professor in the same department in 2024.

🌐 Professional Profile

Educations📚📚📚

She earned her M.Sc. from the Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University in 2013, and her M.D. from the College of Medicine, National Cheng Kung University in 2007. Currently, she is a Ph.D. candidate at the Graduate Institute of Clinical Medicine, National Taiwan University College of Medicine. Her clinical training includes serving as a resident in the Department of Family Medicine at the National Taiwan University Hospital, Yun-Lin Branch from 2008 to 2012, and as a fellow in the same department at the National Taiwan University Hospital from 2012 to 2013.

Clinical specialist

Obesity and Metabolic Syndrome

-Preventive Medicine

-Travel Medicine

Professional Memberships

She is an active member of the Taiwan Association of Family Medicine and serves as the Secretary-General for both the Taiwan Medical Association for the Study of Obesity and the Taiwan Medical Association for Comprehensive Care of Chronic Diseases. Additionally, she holds memberships in the Taiwan Medical Association of Human Nutrition, the Taiwan Academy of Hospice Palliative Medicine, the Taiwan Association for International Health, and the Taiwanese Osteoporosis Association.

📝🔬Publications📝🔬

Magaji Abdulahi Usman | Digital Platform

Published on by Network Science
Mr.Magaji Abdulahi Usman – Digital Platform

Academician/Research Scholar

Northeastern University,China

🎉🏆 Congratulations, MAGAJIABDULLAHI USMAN, on receiving the Business Impact Award! 🌟 Your dedication to innovation and entrepreneurship in the realm of digital platform ecosystems has been truly exceptional. Your profound expertise, coupled with your strategic planning skills and analytical thinking, has undoubtedly made a substantial mark in the business landscape.

Your valuable contributions to diverse journals, your impactful research, and your extensive experience in community development and financial policy development exemplify your commitment to driving positive change. Your achievements, from being recognized as the best teacher to your outstanding paper presentations, are a testament to your unwavering commitment to excellence.

This recognition is well-deserved and reflects your relentless pursuit of excellence and your significant impact on the business world. Wishing you continued success and inspiration as you further your journey in shaping innovative landscapes and fostering entrepreneurship. Here’s to more remarkable achievements ahead! 🚀🌟👏

Warm regards,

International Research Awards on Network Science and Graph Analytics

🌐 Celebrating Excellence:

  • 🏆 Recipient: Magaji Abdulahi Usman
  • 🎊 Award: Business Impact Award

🌟 Remarkable Achievements:

  • 🌐 Research Scholar: Making significant strides in Digital platform ecosystems, innovation, and entrepreneurship.
  • 📚 Esteemed Reviewer: Contributions to prestigious journals including Sage Open, Heliyon, International Journal of Emerging Markets, and Asian Business & Management.
  • 🏢 Planning Officer I (10 Years): Contributing to the success of the National Council for Arts and Culture.
  • 🎓 Educator: One-year Graduate Assistant at Jigawa State Polytechnic, Dutse, with prior experience as a dedicated classroom teacher.

🏅 Noteworthy Recognitions:

  • 🏆 Best Teacher (2010): Recognized at Jigawa State Polytechnic Dutse.
  • 🏆 Best Paper Presenter (2014): Acknowledged at SRM University.

🌍 Community Impact:

  • 🤝 Community Head (2013): Leading impactful community engagement initiatives.
  • 🌐 Innovative Program Design: Contributing to Durbar research and cultural events.

📊 Professional Expertise:

  • 🧠 Analytical Thinker: Demonstrating advanced computer proficiency and superior research skills.
  • 💼 Public Policy Background: A creative problem solver with expertise in data collection, analysis, and financial policy development.

🎓 Educational Journey:

  • 🎓 Ph.D. Candidate: Pursuing Philosophy of Science, Enterprise Management – Northeastern University, China (Expected July 2024).
  • 🎓 M.Sc. in Econometrics: Graduated with First Class with Distinction from SRM University Chennai, India (2015).
  • 🎓 MBA in Business Administration (Finance): Achieved Second Class Upper at Bayero University Kano, Nigeria (2013).

📄 Published Research and Awards:

Professional Profile

Google Scholar

Network Security

Published on by Network Science

Introduction to Network Security

Network security is paramount in our interconnected world, where data and communication flow through complex networks. Protecting these networks from cyber threats,,data breaches, and unauthorized access is essential for safeguarding sensitive information and ensuring the integrity and availability of critical systems. Network security encompasses a wide range of practices and technologies aimed at securing both wired and wireless networks.

Firewalls and Intrusion Detection Systems (IDS):

Firewalls act as barriers between networks, controlling incoming and outgoing traffic, while IDS systems monitor network traffic for suspicious activity. Research focuses on developing advanced firewall rules and intrusion detection algorithms to detect and thwart attacks.

Cryptography and Encryption:

Encryption techniques are fundamental to securing data in transit and at rest.  Research in this area explores encryption algorithms, key management, and cryptographic protocols to protect data privacy and integrity.

Network Access Control (NAC):

NAC solutions ensure that only authorized devices and users can access a network. Researchers work on authentication and authorization methods to enforce network access policies effectively.

Vulnerability Assessment and Penetration Testing:

Identifying and patching network vulnerabilities is crucial. Subtopics in this area  include vulnerability scanning, ethical hacking, and security testing methodologies to proactively address weaknesses.

Network Security in Cloud Computing:

As organizations migrate to the cloud, ensuring the security of cloud-based networks becomes critical. Research focuses on securing virtualized environments, multi-tenancy issues, and data protection in cloud networks.

Network security is an  ever-evolving field that adapts to the changing threat landscape. These subtopics represent key areas where research and innovation continue to advance the state of network security, protecting networks from a wide range of cyber threats.

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Technological Networks

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Introduction to Technological Networks

Technological networks are the backbone of modern society, facilitating communication, transportation, and the exchange of information and resources. These networks encompass a wide range of systems, from the internet and transportation networks to telecommunications and energy grids. Understanding and optimizing technological networks are crucial for ensuring efficiency, reliability, and resilience in our interconnected world.

Internet Infrastructure:

Examining the structure and functioning of the global internet, including its  routing protocols, data centers, and content delivery networks, is essential for improving internet performance, security, and accessibility.

Smart Grids:

Smart grids leverage technology to enhance the efficiency and reliability of electrical grids. Research focuses on grid optimization, renewable energy integration, and demand response mechanisms.

Transportation Networks:

Analyzing transportation networks, including road, rail,  and air systems, is vital for reducing congestion, optimizing traffic flow, and improving transportation sustainability.

Telecommunications Networks:

Telecommunications networks encompass a wide range of technologies, from traditional phone networks to modern cellular and satellite communication systems. Research in this area aims to  enhance communication reliability and bandwidth capacity.

Cybersecurity and Network Resilience:

Ensuring the security and resilience of technological networks is a critical concern. Researchers work on strategies to protect against cyber threats and recover from network failures.

Technological networks form the foundation of modern life, enabling global connectivity and driving innovation. These subtopics represent key areas of research and development within the field of technological  networks, addressing critical challenges and opportunities in our digital age.

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Biological Networks

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Introduction to Biological Networks

Biological networks are intricate representations of interactions and relationships within living organisms. These networks encompass a wide range of molecular, cellular, and ecological systems, offering a profound understanding of biological processes. Analyzing biological networks is instrumental in fields such as genomics, proteomics, and systems biology, fostering insights into disease mechanisms, evolutionary processes, and ecological dynamics.

Protein-Protein Interaction Networks:

These networks model the physical interactions between proteins within a cell. Analyzing protein-protein interactions is essential for understanding cellular processes, disease pathways, and  drug discovery.

Gene Regulatory Networks:

Gene regulatory networks depict how genes influence each other's expression. Research in this area unravels the intricacies of genetic regulation, cell differentiation, and development.

Metabolic Pathway Analysis:

Metabolic networks represent biochemical reactions within cells.  Analyzing these networks aids in understanding cellular metabolism, identifying potential drug targets, and designing metabolic engineering strategies.

Phylogenetic Networks:

Phylogenetic networks illustrate the evolutionary relationships among species or genes. These networks offer insights into the history of species divergence, horizontal gene transfer,, and molecular evolution.

Ecological Interaction Networks:

Ecological networks depict interactions between species in ecosystems, including food webs and mutualistic networks. They provide a holistic view of ecosystem dynamics, species coexistence, and ecological stability.

Biological networks serve as powerful tools for researchers to explore and decipher the complexities of life at various scales. These subtopics highlight the diverse applications and areas of investigation within the realm of  biological networks.

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Large-scale Networks Social Networks

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Introduction to Large-scale Networks Social Networks

Large-scale  networks social networks represent the interconnected fabric of modern society, where billions of individuals connect, communicate, and share information. These networks span various online platforms,  offering valuable insights into human behavior, social interactions, and information diffusion on an unprecedented scale. Understanding the dynamics and challenges of large-scale social networks is essential for addressing complex societal issues and optimizing online experiences.

Community Detection and Analysis:

Large-scale social networks often exhibit intricate community structures. Researchers analyze these structures to uncover meaningful clusters of users with shared interests or affiliations, aiding in content recommendation and understanding social dynamics.

Information Diffusion and Virality:

The study of how information, trends, and news spread through large-scale social networks is  critical for understanding the dynamics of influence, misinformation, and the viral nature of content.

Scalability and Efficiency:

Dealing with massive datasets in large-scale networks requires scalable algorithms and infrastructure. Researchers work on developing efficient methods for network analysis, storage, and processing.

User Behavior Modeling:

Analyzing user behavior at scale helps uncover patterns, preferences, and trends.  This information is valuable for personalization, advertising, and content curation on social platforms.

Privacy and Ethical Considerations:

The massive scale of social networks raises important privacy and ethical concerns. Researchers explore strategies for protecting user data and addressing ethical dilemmas related to data collection and use.

Fake News Detection:

Detecting and mitigating the spread of fake news and misinformation is a pressing issue  in large-scale social networks. Researchers develop algorithms and tools to identify and combat false information.

Large-scale social networks are at the intersection of technology, sociology, and information science, offering an invaluable source of data and insights that impact our online experiences and shape societal discourse. These subtopics represent some of the key research areas within this dynamic  field.

 

 

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Applications of Network Science and Graph Analytics in Social, Biological, and Technological Networks

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Introduction to Applications of Network Science and Graph Analytics

Network science and graph analytics have become indispensable tools for unraveling the intricate structures and behaviors of complex systems. These fields find wide-ranging applications in social, biological, and technological networks, shedding light on network dynamics, patterns, and functionalities,  thereby influencing decision-making, innovation, and problem-solving in diverse domains.

Social Network Analysis:

Social networks, such as Facebook and Twitter, benefit from graph analytics to understand user interactions, detect communities, and identify influential individuals or trends, aiding in marketing, social science research, and recommendation systems.

Biological Network Analysis:

Graph analytics are extensively used in biology to study protein-protein interaction networks,  gene regulatory networks, and metabolic pathways. Researchers analyze these networks to uncover disease mechanisms, drug targets, and evolutionary processes.

Transportation and Infrastructure Networks:

Network science helps optimize transportation systems by modeling traffic flow, identifying congestion patterns, and improving route planning. It is also crucial in the design and maintenance of critical infrastructure  like power grids and telecommunications networks.

Epidemiological Modeling:

In the context of biological networks, epidemiological models use graph analytics to simulate and predict the spread of diseases. These models play a vital role in public health, helping policymakers devise effective containment strategies.

Recommendation Systems:

Recommendation systems in e-commerce and content platforms employ network-based collaborative filtering and content-based recommendation algorithms to suggest products, services, or content to users,  enhancing user experience and engagement.

Citation and Scientific Collaboration Networks:

In academia, researchers use network science to analyze citation networks and collaboration networks among scientists. This helps evaluate research impact, identify research trends, and foster interdisciplinary collaborations.

Fraud Detection in Financial Networks:

In the financial sector, graph analytics are employed to detect fraudulent activities by analyzing transaction networks and identifying suspicious patterns or connections among accounts.

Energy Distribution Networks:

Graph analytics assist in optimizing energy distribution networks, ensuring efficient resource  allocation, reducing energy waste, and enhancing the reliability of power grids.

Semantic Web and Knowledge Graphs:

Knowledge graphs use graph analytics to represent and navigate vast amounts of structured and  unstructured data, improving search engines, information retrieval, and semantic understanding.

Social Influence and Opinion Dynamics:

Analyzing social influence and opinion dynamics in networks aids in understanding the spread of information, rumors, and trends in online communities and social platforms.

These subtopics highlight the diverse and impactful applications of network science and graph analytics across social, biological, and technological networks, shaping our understanding of complex systems and informing decision-making processes in various domains.

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Network Visualization and Interactive Analytics

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Introduction to Network Visualization and Interactive Analytics

Network visualization and interactive analytics are  essential tools in the field of data science and network analysis. They enable researchers, analysts, and decision-makers to explore and understand the complex relationships and structures within networks. Through interactive visual representations and analytical techniques, these fields facilitate the extraction of valuable insights from vast and interconnected datasets.

Graph Layout Algorithms:

Graph layout algorithms determine how nodes and edges  are arranged in a network visualization. Research focuses on developing and optimizing layout algorithms to effectively convey network structures.

Dynamic Network Visualization:

Dynamic networks change over time, and interactive visualization techniques are critical for exploring their temporal evolution. This subtopic addresses methods for visualizing and analyzing dynamic networks.

Community Detection Visualization:

Visualizing detected communities or clusters within networks is crucial for understanding the network's modular structure. Researchers develop visualization techniques that highlight community boundaries and connections.

Interactive Network Exploration Tools:

This subfield involves the development of interactive software tools that  allow users to explore, query, and analyze networks in real time. These tools often incorporate features like node filtering, zooming, and searching.

Visual Analytics for Large-Scale Networks:

Dealing with large-scale networks poses unique challenges in terms of visualization and analysis. Researchers work on techniques and tools that can handle the complexity of massive networks while maintaining interactivity and usability.

Network visualization and interactive analytics empower users to gain deep insights into networked data, making these tools indispensable for various domains, including social network analysis,, biological network research, and cybersecurity. These subtopics represent key areas of research and development in this dynamic field.

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