Invitation: SPS Distinguished Lecturer Keynote at IEEE RTSI 2025 Special Session
Dear All,
We are pleased to invite you to attend the upcoming talk “Research Challenges in Counterfeit Detection” by Prof. Justin Picard.
This talk is part of the Special Session: “AI-Driven Cybersecurity for IoT and Connected Systems: Innovations, Challenges, and Ethical Frontiers” at the IEEE RTSI 2025 Conference.
Prof. Picard will explore cutting-edge research directions and open challenges in counterfeit detection, highlighting its intersection with AI and cybersecurity in the era of IoT and connected systems.
📝 Registration Information
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Registration opens: 17 August 2025
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Registration closes: 20 August 2025
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This session is open to all IEEE SPS members.
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Conference registration is not required to attend.
đź”— Learn more:
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Full conference program: https://2025.ieee-rtsi.org/program/
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Special Session details: https://2025.ieee-rtsi.org/ai-driven-cybersecurity-innovations-challenges-and-ethical-frontiers/
We warmly encourage your participation in this engaging session and discussion.
Best regards,
IEEE SPS Tunisia chapter
Date and Time
Location
Hosts
Registration
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- Les cotes de Carthage
- Gammarth, Tunis
- Tunisia 2070
- Building: Hotel Verdi Tunis Beach Resort
- Click here for Map
Speakers
Justin Picard
Research challenges in counterfeit detection
Biography:
Justin Picard
(a Senior Member of IEEE) is the co-founder and Chief Technology Officer at Scantrust, a leading anti-counterfeiting and traceability software company. Dr. Picard is the inventor of the copy detection pattern, a digital authentication technology for detecting product and document counterfeiting. Copy detection patterns are used to protect billions of products each year, and are a topic of active research within the IEEE Signal Processing Information Forensics and Security community. Dr. Picard attended Polytechnique Montréal, where he received his B.S. degree in physics engineering (1990-1994), and his MSc in electronics engineering (1994-1997). He received a PhD in computer science from the University of Neuchâtel (1996-2000), before attending the École Polytechnique Fédérale de Lausanne (EPFL) for postdoctoral research in digital watermarking (2000-2001). Dr. Picard was a research and development engineer at Mediasec Technologies in Rhode Island (2001-2004), the head of research and development at Thomson Technicolor in Germany (2004-2006), and later the chief scientist at Advanced Track & Trace in France (2006-2013). In 2014, he co-founded Scantrust in Switzerland, after filing a patent on a QR Code which secures against counterfeit attempts. He was chief executive officer of the company until 2017, then took the role of Chief Technology Officer. Dr. Picard is a member of the Organisation for Economic Co-operation and Development Task Force on Countering Illicit Trade (2012-), and a member of the network of experts at the Global Initiative Against Transnational Organized Crime (2016-). He was selected as World Economic Forum Technology (WEF) Pioneer (2009), and served as a member of the WEF Global Agenda Council on Illicit Trade (2009-2014). He is a member of the GS1 Digital Link technical committee, and an advisor to the European Union Intellectual Property Organization (EUIPO) on anti-counterfeiting technologies. He is also a co-founder of the non-governmental organization Black Market Watch, where he developed a methodology to assess the impacts of illicit trade. Dr. Picard has more than 25 patents and patent applications related to anti-counterfeiting technologies, secure traceability of documents and products, and digital image and video watermarking. Dr. Picard was co-organizer of the special session on “Forensics and Security of Physical Objects” at the 2021 IEEE Workshop on Information Forensics and Security (WIFS). He is a reviewer for WIFS, and is on the program committee of the ACM Symposium on document engineering. Dr. Picard’s lecture topics include signal processing techniques for authentication and security of physical objects, image processing techniques for product authentication with smartphones, and counterfeit detection using machine learning and deep learning.
Address:Scantrust, Switzerland