Innovative Research Award
Csongor Herke
University of Pécs, Hungary
| Csongor Herke | |
|---|---|
| Affiliation | University of Pécs |
| Country | Hungary |
| Scopus ID | 57221331605 |
| Documents | 8 |
| Citations | 11 |
| h-index | 2 |
| Subject Area | Fingerprint Identification |
| Event | Applied Scientist Awards |
| ORCID | 0000-0002-5106-339X |
Csongor Herke, Professor and Head of the Department of Criminal and Civil Procedure at the University of Pécs, is recognized for his sustained scholarly contributions to criminal procedure, criminalistics, forensic science, artificial intelligence applications in criminal justice, and legal aspects of fingerprint identification. His academic career spans several decades of teaching, research, international collaboration, and scientific leadership, supporting innovation at the intersection of law, technology, forensic science, and justice administration.[1]
Abstract
This article documents the academic achievements and research contributions of Csongor Herke in the fields of criminal procedure law, criminalistics, forensic investigation, and emerging technologies in legal systems. His work has addressed procedural safeguards, evidentiary standards, artificial intelligence in criminal justice, forensic identification methodologies, and comparative criminal law. Through academic leadership, extensive scholarly publications, international conference participation, and interdisciplinary collaborations, he has contributed to the modernization of criminal justice research and forensic science applications.[1][2]
Keywords
Fingerprint Identification, Criminal Procedure, Criminalistics, Artificial Intelligence, Digital Evidence, Deepfake Detection, Cybercrime, Forensic Science, Legal Technology, Criminal Justice Innovation.
Introduction
The increasing integration of technology into criminal investigations has generated new challenges and opportunities for legal systems worldwide. Scholars working at the intersection of law, forensic science, and digital innovation play an important role in addressing these developments.[5] Csongor Herke has established a research portfolio that combines criminal procedure scholarship with contemporary issues such as artificial intelligence, forensic evidence, digital investigations, autonomous systems, and fingerprint identification technologies.[1]
Research Profile
Csongor Herke serves as Professor and Head of the Department of Criminal and Civil Procedure at the University of Pécs. His academic qualifications include a Doctor of Science (DSc) degree from the Hungarian Academy of Sciences and extensive experience in legal education, doctoral supervision, scientific evaluation, and research administration.[1].
- Research focus on criminal procedure, criminalistics, and forensic sciences.
- International speaker on artificial intelligence and criminal justice.
- Contributor to doctoral education and scientific mentoring.
Research Contributions
Csongor Herke’s research contributions encompass procedural rights, pre-trial detention, forensic investigation methodologies, digital evidence assessment, and emerging technological challenges in criminal law. Recent academic activities have focused on artificial intelligence, algorithmic decision-making, deepfake risks, cybercrime, autonomous vehicles, and advanced forensic identification systems.[1]
Publications
Csongor Herke includes journal articles, monographs, academic textbooks, conference papers, and interdisciplinary studies. His publications address criminal procedure law, forensic science, legal technology, and criminal justice innovation. His work has been disseminated through national and international academic platforms, contributing to knowledge exchange across legal and forensic disciplines.[2][3]
Research Impact
Csongor Herke extends beyond traditional legal scholarship through engagement with emerging technological developments affecting criminal investigations and judicial processes. His conference presentations, international collaborations, editorial activities, and doctoral supervision demonstrate an active role in advancing interdisciplinary research. Topics including artificial intelligence, forensic identification, cybercrime, autonomous systems, and digital evidence continue to shape contemporary discussions in legal science.[1][4]
Award Suitability
Csongor Herke’s research profile aligns with the objectives of the Innovative Research Award through his sustained investigation of contemporary legal and forensic challenges. His interdisciplinary approach combines criminal procedure scholarship with technological innovation, particularly in artificial intelligence, digital evidence evaluation, fingerprint identification, and forensic decision-making. The integration of academic research, policy relevance, educational leadership, and international engagement supports recognition within innovation-oriented scientific award programs.[1][5]
Conclusion
Csongor Herke reflects long-term contributions to criminal procedure law, forensic science, and legal innovation. His work addressing fingerprint identification, artificial intelligence, cybercrime, digital evidence, and criminal justice modernization demonstrates a commitment to advancing scholarly understanding of emerging challenges. These contributions support his recognition within the framework of the Innovative Research Award and illustrate the importance of interdisciplinary approaches in contemporary legal research.[5]
External Links
References
- Professional Academic Curriculum Vitae of Csongor Herke. University of Pécs Faculty of Law and Political Sciences. Academic profile, education, appointments, research activities, conference participation, and scientific leadership.
https://herke.hu/ - Herke Csongor. (2019). Agreements in criminal proceedings.
https://pea.lib.pte.hu/items/1c92b2b7-9c96-4380-b0b1-fbdb38d5f572 - Herke Csongor. (2010). Criminal Procedure Law.
https://www.herke.hu/tan/18cpl.pdf - Herke, C. (2021). Forensic aspects of artificial intelligence.
https://belugyiszemlejournal.org/index.php/belugyiszemle/article/view/888 - Herke, C. (2026). Automated Fingerprint Identification: The Role of Artificial Intelligence in Crime Scene Investigation.
https://www.mdpi.com/2673-6756/6/1/6