FOS Awards

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Mr. David Pialla | Engineering | Industry Impact Award #worldresearchawards #researchawards

🏆 Industry Impact Award 2026 🏆

We are proud to announce that Mr. David Pialla from EDF, France has been honored with the prestigious Industry Impact Award in recognition of his outstanding contributions to the field of Engineering.

This recognition celebrates his impactful research achievements, academic excellence, and significant contribution to innovation and industrial advancement. His dedication to engineering research continues to inspire the global scientific and professional community.

📌 Award Highlights: 🔹 Award Title: Industry Impact Award 🔹 Nominee: Mr. David Pialla 🔹 Specialization: Engineering 🔹 Institution: EDF 🔹 Country: France 🔹 Citations: 237 🔹 Documents: 15 🔹 h-index: 5

👏 Congratulations to Mr. David Pialla on this remarkable achievement and for making a meaningful impact in the engineering and scientific research community.

🌍 Recognizing Excellence. Inspiring Innovation.

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Prof. Dr. Min Zhao | Medicine and Health Sciences | Research Excellence Award #worldresearchawards

We are proud to present a prestigious recognition under the Excellence in Research Award 🏆

🎉 Congratulations to Prof. Dr. Min Zhao for outstanding contributions in the field of Medicine and Health Sciences.

Affiliated with Nantong University, China, Prof. Dr. Min Zhao has demonstrated exceptional research excellence and academic impact.

🔬 Research Highlights: • 📊 913 Citations • 📄 35 Published Documents • 📈 h-index: 15

This recognition celebrates innovation, dedication, and significant contributions to advancing scientific knowledge and global healthcare.

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Assist. Prof. Dr. Yang Liu | Research Excellence Award | China #worldresearchawards #fosawards

Celebrate excellence in research and innovation! 🎉

We are proud to announce that Assist. Prof. Dr. Yang Liu has been honored with the Research Excellence Award for outstanding contributions to the field of Mathematics.

Affiliated with Great Bay University, China, Dr. Yang Liu has demonstrated remarkable academic impact and dedication to advancing scientific knowledge.

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Virtopsy & Quick-Tox in Forensic Workflow #worldresearchawards#researchawards#fosawards

Virtopsy and Quick-Tox together create a powerful multimodal approach for postmortem forensic examination, combining advanced imaging techniques with rapid toxicological screening. This integrated workflow enhances accuracy, efficiency, and reliability in determining causes of death while minimizing invasive procedures.

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Prof. Dr. Sumon Sarkar | Research Excellence Award | United States #worldresearchawards

🎉 Congratulations to Prof. Dr. Sumon Sarkar!

Winner of the Research Excellence Award at the International Forensic Scientist Awards.

Celebrating exceptional research excellence and global impact in advanced engineering! 🌟

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Dr. Shengyou Zhang | Excellence in Research Award | China #worldresearchawards#researchawards

🎉 Congratulations to Dr. Shengyou Zhang! Winner of the Excellence in Research Award at the International Forensic Scientist Awards.

Celebrating innovation, dedication, and outstanding research excellence on a global stage! 🌟

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Assist. Prof. Dr. Thanos Touloupis | Research Excellence Award | Greece #worldresearchawards

🎉 Congratulations to Assist. Prof. Dr. Thanos Touloupis! 🏆

We are proud to honor Assist. Prof. Dr. Thanos Touloupis from the University of the Aegean, Greece with the prestigious Research Excellence Award at the International Forensic Scientist Awards.

His outstanding contributions to psychological research continue to inspire innovation and academic excellence worldwide. 🌍✨

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Temporal Reconstruction Framework for IoMT Network Forensics #worldresearchawards#researchawards

This study presents a forensic analysis framework for Internet of Medical Things (IoMT) network traffic that focuses on temporal reconstruction and artefact profiling to support post-incident investigation. By analysing flow-level metadata such as statistical, temporal, volume, and protocol indicators, the framework identifies behavioural patterns that distinguish benign from malicious activity.

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Skull-to-Face Reconstruction: MRI vs. CBCT Analysis #worldresearchawards#researchawards#fosawards

This study explores the role of MRI and CBCT imaging in improving the accuracy of forensic 3D craniofacial reconstruction.

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Forensic Diatomology of Pong Dam: Drowning and Site Identification #worldresearchawards

This study investigates the forensic diatomology of the Pong Dam reservoir to support drowning diagnosis and immersion-site identification.

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FOREST: Cloud Forensic API Framework #worldresearchawards#researchawards#fosawards

FOREST is an automated framework designed to inspect and track RESTful APIs in cloud services for forensic purposes. It discovers undocumented endpoints, monitors API changes over time, and generates structured specifications to support reliable and reproducible cloud evidence acquisition. Evaluated on Microsoft OneDrive, Microsoft Teams, and Mattermost, FOREST demonstrates strong capability in uncovering hidden forensic artifacts and ensuring consistent analysis across evolving service versions.

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Metagenomic Profiling of Lung Microbes in Aquatic Forensics #worldresearchawards#researchawards

Metagenomic sequencing revealed that multi-kingdom lung microbes—particularly bacteria and eukaryotes—serve as reliable forensic markers in aquatic death investigations. Seventeen bacterial and nine eukaryotic species were identified as potential biomarkers for drowning diagnosis, with Aeromonas hydrophila showing strong diagnostic significance. Robust random forest models achieved high accuracy for drowning identification (89.29%), drowning site inference (100%), and postmortem submersion interval (PMSI) estimation (MAE 0.66 days). These findings enhance precision in forensic investigations of aquatic corpses.

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Exploratory investigation of patterns of forensic odontology interest #worldresearchawards

This study presents the first multilingual global assessment of digital interest in Forensic Odontology (FO) using 20 years of Google Trends data (2004–2024) across 54 countries. By integrating English search terms (“forensic odontology” and “forensic dentistry”) with verified local-language equivalents, the research minimizes language bias and improves regional representation.

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Forensic Implications of Hyperactive Delirium #worldresearchawards#researchawards#fosawards

Hyperactive Delirium with Severe Agitation (HDSA) represents a critical medical emergency marked by acute disorientation, violent behavior, and extreme psychomotor agitation. This Italian case series retrospectively examines seven fatal incidents identified in two university forensic pathology centers, applying the updated terminology proposed by the American College of Emergency Physicians (ACEP).

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KinSNP Benchmarking for Forensic Kinship #worldresearchawards#researchawards#fosawards

This study benchmarks KinSNP®, a forensic SNP-based kinship analysis tool developed by Othram, using real pedigree data across 66 pairwise comparisons. Its performance was compared with GEDmatch PRO and the Shared cM Project 4.0 tool. KinSNP® accurately predicted 82% of relationships within the highest confidence category and 12% within the second highest, showing strong reliability for close relatives.

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Publication Rate of ISFRI Congress Abstracts #worldresearchawards#researchawards#fosawards

This study evaluates the abstract-to-publication conversion rate of research presented at the annual congresses of the International Society of Forensic Radiology and Imaging (ISFRI) between 2012 and 2022. Out of 464 abstracts, 47.6% were later published as full-text articles, with most appearing in the society’s journal Forensic Imaging (formerly Journal of Forensic Radiology and Imaging). The findings show a comparatively strong publication rate within radiological sciences, though more than half of the presented research remains unpublished, highlighting the need to address barriers to publication.

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Intelligent justice: AI-driven forensics and legal process for criminal justice reforms #worldresearchawards#researchawards#fosawards

Intelligent Justice explores how Artificial Intelligence is transforming forensic science and legal processes within criminal justice systems. The study highlights how AI-driven tools—such as predictive policing, risk assessment models, and forensic analytics—can improve investigative accuracy, efficiency, and fairness. At the same time, it critically addresses ethical and legal concerns including algorithmic bias, transparency, admissibility of AI-generated evidence, and the need for human oversight. The paper advocates for strong regulatory frameworks to ensure AI supports justice reform while protecting fundamental rights and procedural safeguards.

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