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@databasescientist
Prof. Dr. Brigitte Jaumard is a leading expert in computer science, specializing in AI and communication network optimization.
International Database Scientist Awards
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Dr. Jan Sawicki focuses on natural language processing and graph-based data analysis, uncovering insights from large-scale social media and digital communities.
International Database Scientist Awards
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Prof. Eugenia Bitsani is a distinguished academic and researcher specializing in cultural policy, heritage management, and intercultural relations. Her work focuses on the sustainable development of cultural resources, preservation of intangible heritage, and the role of culture in fostering social cohesion and international dialogue. She has contributed extensively to research, policy development, and academic discourse, advancing innovative approaches to cultural governance and cross-cultural collaboration.
International Database Scientist Awards
Website : https://databasescientist.org/
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As autonomous AI agents scale across enterprises, databases are becoming mission-critical infrastructure, enabling real-time, reliable, and context-aware data access. Recent industry reports show AI agent adoption growing by over 300%, driving demand for AI-native, distributed, and governed database platforms that ensure performance, data integrity, and compliance for next-generation intelligent systems.
International Database Scientist Awards
9th Edition of International Database Scientist Awards | 27–28 February 2026 | Singapore, Singapore
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!!..Data-Driven Metrics for Surgical Performance Assessment..!!
This Delphi consensus study establishes standardized, technology-enhanced metrics for evaluating operative performance. Through expert agreement, the TEST framework integrates data analytics, objective performance indicators, and digital assessment tools to improve surgical training quality, benchmarking, and competency-based education.
!!..Lightweight AES-Based Secure Data Transmission..!!
This work presents an information security transmission method for data exchange platforms using a lightweight Advanced Encryption Standard (AES) algorithm. The proposed approach optimizes cryptographic operations to reduce computational overhead while maintaining strong data confidentiality and integrity during transmission. By adapting AES for lightweight environments, the method is well suited for resource-constrained systems such as distributed platforms, cloud-based data exchanges, and IoT-enabled services, ensuring secure, efficient, and reliable data communication.
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!!..Young Innovator Award..!!
The Young Innovator Award honors individuals who demonstrate exceptional creativity, problem-solving skills, and a passion for driving positive change. This accolade encourages youth participation in science, technology, engineering, mathematics (STEM), and other innovative fields, promoting a culture of forward-thinking innovation.
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!!..Security Aware Data Provenance in SDN..!!
This study explores a robust security-aware data provenance framework for multi-domain Software-Defined Networks (SDNs), enhancing traceability, accountability, and trust across interconnected domains. By integrating provenance tracking with security policies, it ensures reliable data flow monitoring, intrusion detection, and cross-domain collaboration without compromising performance or privacy.
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Mathematical Analysis of Computer Viruses
This study applies both deterministic and stochastic modeling frameworks to evaluate how computer viruses propagate across networked systems. Deterministic models provide structured, equation-based predictions of infection dynamics, while stochastic models capture randomness, uncertainty, and probabilistic behavior in real-world networks. The analysis supports understanding of infection thresholds, outbreak probability, control strategies, and optimal interventions for mitigating malware spread in diverse computing environments.
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!!..High-Rate Ambient Backscatter DCSK with Joint Index Modulation..!!
A high-throughput ambient backscatter DCSK communication framework that enhances spectral efficiency by jointly leveraging permutation index modulation and code index modulation for robust, low-power wireless data transmission.
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!!..Tumour Dimension in Thymic Tumours..!!
An updated ESTS database analysis evaluating how tumour size influences prognosis in thymic epithelial tumours. The study reinforces tumour dimension as a significant prognostic indicator and highlights its value in refining clinical staging and treatment planning.
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!!..Law by Design: Regulating Europe’s Digital Future..!!
This title examines how “law by design” principles can guide the next generation of digital regulation in Europe by embedding accountability, transparency, user protection, and ethical safeguards directly into the architecture of emerging technologies. It highlights forward-looking governance models that integrate legal requirements into system design to ensure trustworthy, compliant, and human-centric digital ecosystems.
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!!..Mobility-Aware Edge–5G Service Integration..!!
This study examines how the convergence of edge computing and 5G networks enables seamless, low-latency, and mobility-aware service deployments. It highlights mechanisms for dynamic resource allocation, real-time user mobility prediction, and adaptive service migration across distributed edge nodes. The work demonstrates how integrated 5G–edge architectures enhance service continuity, network efficiency, and quality of experience for highly mobile users.
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!!..Young Researcher Award..!!
This award is dedicated to recognizing promising young minds in research across all academic disciplines. It is a platform to celebrate innovation, originality, and early achievements that show clear potential for long-term impact.
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#DatabaseScience #DataManagement #DatabaseExpert #DataProfessional #DatabaseDesign #DataArchitecture #DatabaseDevelopment #DataSpecialist #DatabaseAdministration #DataEngineer #DatabaseProfessional #DataAnalyst #DatabaseArchitect #DataScientist #DatabaseSecurity #DataStorage #DatabaseSolutions #DataManagementSolutions #DatabaseInnovation #DataExpertise
!!..FinTech's Impact on Incumbent Firm Behavior..!!
This research investigates whether the emergence of FinTech disrupts the established operational rigidity and risk aversion of incumbent financial firms. It analyzes if competition from agile FinTech startups forces traditional players to adopt more flexible business models and pursue innovation with a higher risk tolerance to maintain market relevance.
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!!..Research Excellence Award..!!
The Research Excellence Award recognizes outstanding scholarly contributions that demonstrate originality, methodological rigor, and meaningful impact within their respective fields. This award honors researchers who consistently advance scientific knowledge through high-quality publications, innovative methodologies, and significant advancements in theory or practice.
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!!..SPL-DB-Sync: Adaptive Database Refactoring..!!
SPL-DB-Sync is a lightweight framework that enables seamless database transformation during feature-driven software changes. It automates schema synchronization, minimizes migration overhead, and ensures consistency across evolving systems. Designed for agile development environments, it supports rapid feature deployment, reduces manual errors, and maintains database integrity throughout continuous integration and delivery pipelines.
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