Invited Speaker



Update time:2024-03-11 17:42

Huang Rui is the Associate Dean and Professor of the School of Criminal Investigation at Southwest University of Political Science and Law, as well as a doctoral supervisor. He also serves as the Deputy Director of the Forensic Identification Center, a researcher at the National Drug Control Research Center, a national forensic expert, and a senior engineer. He was selected as one of the first “Chongqing Talents - Top Young Talents” in Chongqing. His main areas of teaching and research include physical evidence technology, forensic identification, analytical chemistry, and drug control governance. He has published over 50 academic papers, including more than 10 as the first author or corresponding author in professional journals both domestic and international, such as “Science China”, “Sensors and Actuators B: Chemical”, “Journal of Materials Science”, “Bulletin of the Chemical Society of Japan”, and “New Journal of Chemistry”. Among these, he has three cover papers in top-tier journals including “Science China”. He has authored two monographs, filed for nine invention patents with eight granted, and has led over ten scientific research projects sponsored by the Chongqing Science and Technology Commission and the Chongqing Education Commission.

Topic title: The Application of Innovative Materials and Intelligent Models in Drug Issue Governance


The global drug development trend is becoming increasingly diverse and complex, challenging traditional drug identification methods with ever-changing components and synthesis techniques. This study proposes a new drug identification method that combines innovative materials with intelligent models. Utilizing the "Image+Spectrum" dual-modality identification model, the "Zero Processing" fuzzy recognition intelligent model, the "Dual-Stream Neural Network" analysis and evaluation model, and the "Quantum Chemistry" wastewater system monitoring model, we have achieved efficient identification and monitoring of drugs. These methods not only improve the efficiency of drug detection but also open new avenues for drug governance, contributing to the effective control of drug problems. They bring innovative ideas and solutions to the field of drug detection and governance, demonstrating the significant role of technology in anti-drug efforts.

Congress has ended
Important Dates
Conference Dates
March 29-31, 2024
Deadline for Submission of Abstract

December 31, 2023

Still open for submission

Notification of Abstract Acceptance

January 15, 2024

January 25, 2024