Forensic Scientist

This forensic study explores the presence and significance of Perthe's Syndrome in victims of building collapse fatalities. By analyzing trauma patterns and underlying physiological responses, the research aims to enhance diagnostic precision and contribute to medico-legal investigations. The findings offer valuable insights for forensic pathologists, structural safety experts, and disaster response teams involved in fatality assessments following structural failures. Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/

 This research presents a unified architecture for smart home forensics, enabling scalable and systematic investigation of tools and applications across diverse IoT environments. It streamlines evidence collection, analysis, and correlation in smart home ecosystems. Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/

  Argus introduces a novel methodology for the forensic analysis of mobile applications, enhancing data acquisition, integrity verification, and evidence reconstruction across Android and iOS platforms. This innovative approach ensures deeper insight into app behavior and supports legal investigations with greater reliability and precision. Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/

 This study highlights the significance of Micro-CT imaging in the forensic assessment of neck trauma. Offering high-resolution, non-destructive visualization of bone and soft tissue injuries, Micro-CT proves invaluable in uncovering subtle fractures, hemorrhages, and other trauma-related changes that may be overlooked with traditional imaging methods. It enhances the accuracy and detail of forensic investigations, supporting both medical and legal conclusions. Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/

  Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/

 This video explores a cross-sectional study on the patterns of nonfatal strangulation in domestic and family violence cases reported to forensic practitioners in Victoria, Australia. It highlights key injury characteristics, forensic findings, and the importance of recognizing nonfatal strangulation as a critical marker of escalating violence. Understanding these patterns can inform better legal, medical, and support responses to victims. Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/ 

 This article critically explores whether the use of algorithms and probabilistic evaluations in forensic evidence reporting undermines the legal principle of the presumption of innocence. It examines the ethical, legal, and procedural implications of relying on machine-generated probabilities in courtroom settings and questions the balance between scientific accuracy and fair trial rights. Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/ 

  This study presents a comparative analysis of forensic DNA elimination databases across seven European countries. It highlights the structure, use, legal frameworks, and effectiveness of these databases in preventing contamination and ensuring integrity in forensic investigations. Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/ 

 Discover the future of mobile forensics! This video showcases a cutting-edge forensic automation framework built for Android devices, leveraging Multimodal Large Language Models (MLLMs) and Optical Character Recognition (OCR) . Learn how this framework simplifies digital investigations, extracts and analyzes data intelligently, and automates forensic workflows—all from your smartphone. Perfect for digital forensic experts, AI researchers, and tech enthusiasts! Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/ 

This study addresses the critical need to enhance the comparability of stable isotope measurements (δ¹³C and δ¹⁸O) in tooth enamel carbonate across different laboratories. By identifying sources of variability and recommending standardized protocols, the research promotes more reliable and reproducible data in paleoclimate reconstruction, archaeology, and forensic science. The findings contribute significantly to improving data quality and collaboration in isotope-based studies worldwide. Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/ 

This case study explores the application of large language models (LLMs) in analyzing forensic psychiatry expert reports. By leveraging AI to interpret complex psychiatric assessments, this research highlights the potential of LLMs to enhance accuracy, consistency, and efficiency in forensic evaluations. The study offers insights into how artificial intelligence can assist legal and clinical decision-making by identifying patterns, language use, and key diagnostic indicators within expert reports. Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/ 

 Unlocking the future of personalized treatment in Multiple Myeloma , this video explores a DNA Damage Repair (DDR)-related prognostic risk model based on advanced single-cell and bulk RNA sequencing data. 🧬 We dive deep into how DDR pathways influence tumor behavior and patient prognosis, and how integrating high-throughput sequencing can lead to more accurate risk stratification and targeted therapy development. Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/

Discover the fascinating science behind how the odor of a cadaver changes from ante-mortem (before death) to post-mortem (after death) in an outdoor environment. This video explores the chemical transitions in decomposition, the impact of environmental exposure, and how forensic experts use odor profiles in death investigations. Join us as we break down key findings from current research and field studies in forensic taphonomy. Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/

Signal is a widely used end-to-end encrypted messaging platform, making digital forensics and evidence extraction a challenging yet crucial task in investigations. On the Windows desktop version of Signal, forensic professionals can analyze local application data, including databases, logs, and encrypted message stores. The decryption process involves identifying key files stored in the user profile directory, retrieving encryption keys (if accessible), and using specialized forensic tools or custom scripts to decode message content. Mastery of SQLite, cryptographic functions, and file carving techniques is often essential. Ethical considerations, legal authorizations, and adherence to forensic best practices must be maintained throughout the process. Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.co...

 This study presents a computational modeling approach to analyze blunt force trauma at the atlanto-occipital joint, providing critical insights into injury mechanisms relevant to forensic pathology. The findings support forensic investigations by enhancing understanding of trauma dynamics at the skull-spine junction. Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/

This study presents a cutting-edge multi-modal spectroscopic strategy for the forensic analysis and discrimination of liquid cosmetic complexion products. Utilizing techniques such as Raman, FTIR, and UV-Vis spectroscopy, the approach enhances product identification and trace evidence comparison in forensic investigations. The method offers high specificity, non-destructive testing, and supports the development of robust forensic databases for cosmetic evidence. Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/

 This study presents a comparative analysis of manual and machine learning techniques for distinguishing between real and forged signatures. It highlights the accuracy, efficiency, and forensic relevance of both approaches, offering insights into their implications for document examination and legal authentication. Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/

 This study explores the development of eco-friendly carbon dots (CDs) as a sustainable and versatile solution for advanced smart materials. With applications ranging from forensic analysis to biopolymer film enhancement and UV-blocking technologies, these green nanomaterials offer a low-cost, non-toxic, and environmentally conscious alternative for next-generation functional materials. Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/

Autocrime is an innovative open-source multimodal platform designed to combat organized crime through the integration of cutting-edge technologies including AI, machine learning, computer vision, and real-time data analytics. It facilitates the seamless collaboration between law enforcement agencies, forensic experts, and researchers by providing tools for crime pattern recognition, vehicle tracking, facial and license plate recognition, cross-border crime analysis, and digital forensics. With open data access and modular architecture, Autocrime empowers transparent, scalable, and collaborative crime prevention efforts across jurisdictions worldwide. Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pint...

This study presents a novel approach to the forensic identification of human tears from various ethnic groups in China using portable infrared spectral analysis combined with swarm intelligence algorithms . By leveraging advanced machine learning and spectral fingerprinting, this method offers a non-invasive, efficient, and highly accurate tool for personal and ethnic identification, contributing to the fields of forensic science , biochemical analysis , and ethnic studies . Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/

This study presents a miniaturized sensor system utilizing screen-printed carbon electrodes for rapid, on-site detection of MDMA in seized drug samples. The portable design ensures fast, reliable, and cost-effective forensic analysis directly at crime scenes or checkpoints. Nomination Link: https://forensicscientist.org/award-nomination/?ecategory=Awards&rcategory=Awardee Website: https://forensicscientist.org/ Social media: You tube: https://www.youtube.com/@forensicscientistawards Twitter: https://x.com/AwardForensic Instagram: https://www.instagram.com/forensicaward/ Pinterest: https://in.pinterest.com/forensicaward/