معرفی
Hans Henseler serves as a part-time Lecturer in Digital Forensics & E-Discovery at Leiden University of Applied Sciences since 2016. He also holds significant positions as a senior advisor at the Netherlands Forensic Institute's Digital and Biometric Traces division and as Chairman of the Board of Directors of Digital Forensic Research Workshop (DFRWS).
His career spans nearly three decades in digital forensics, beginning at the Forensic Laboratory (now NFI) in 1992. Throughout his career, he has worked with major organizations including ZyLAB, PWC, Fox-IT, Tracks Inspector, and Magnet Forensics, participating in high-profile investigations such as fraud cases at Bouwfonds and corruption investigations at Siemens and Daimler.
- Computer Science graduate from Delft University of Technology
- PhD in Artificial Neural Networks from Maastricht University (1993)
- Former lecturer at Amsterdam University of Applied Sciences (2009-2016)
- Founder of Volto Labs and advisory board member of DuckDuckGoose AI
Henseler's research focuses on the evolving landscape of digital evidence, particularly in IoT forensics and AI applications. He established the IoT Forensics Lab at The Hague Security Delta to address emerging challenges as cyberspace and the physical world merge. His recent publications examine how language models can serve as 'co-pilots' in digital evidence search, reflecting his commitment to integrating cutting-edge technology into forensic practice.
He has developed innovative educational approaches, including a dual education program in collaboration with the FIOD and Police, and has plans for a professional master's degree in Forensic ICT. His teaching philosophy emphasizes practical, hands-on experience, preparing students to handle the 'ever-growing mountain of digital evidence' in professional settings.
Henseler's career demonstrates consistent dedication to the three pillars he identifies as central to his work: pioneering, innovating, and exchanging knowledge. His extensive industry experience directly informs his academic work, creating a valuable bridge between theoretical knowledge and practical application in the rapidly evolving field of digital forensics.
