Prof.dr.ir. R.L. (Inald) Lagendijk

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RESUME

Prof.dr.ir. Inald Lagendijk (1962) is Distinguished Professor in Computing-based Society, and chair of the Cybersecurity research group. He has more than 30 years of research and teaching experience in digital signal processing, including image and video processing, compression, search, watermarking, and digital content protection. His current research focuses on privacy-protected signal processing, data sharing, algorithm transparency, and meaningful human control over autonomous intelligent systems.

Professor Lagendijk has more than 20 years of experience in leading national and international fundamental and public-private research projects. He is currently captain of science (CTO) of the national innovation topteam Dutch Digital Delta, figurehead ('boegbeeld') of the route Big Data of the Dutch National Research Agenda, program coordinator of the national program Digital Society, and member of the strategy team of the Dutch AI Coalition (NL AIC).

ACADEMIC TRACK RECORD

Professor Lagendijk was awarded the Antoni van Leeuwenhoek professorship at Delft University of Technology in 1999.

He was elected to the Royal Netherlands Academy of Arts and Sciences (KNAW) in 2009. He was also elected member of the Royal Holland Society of Sciences and Humanities (KHMW), and of the Netherlands Academy of Technology and Innovation (AcTI). He is a Fellow of the IEEE (class of 2007, for Contributions to Image Processing). 

His publication track record and citations can be found on the Google scholar page or DBLP. Professor Lagendijk has (co-)supervised 35 completed Ph.D. theses. He has been involved as coordinator or participant in a large number of national and European projects.

TEACHING

Professor Lagendijk has been lecturing computer science and electrical engineering courses since 1990. His teaching expertise includes digital (multidimensional) signal processing, probability and statistics, random signal processing, digital image and video compression, watermarking, and computer vision. He is author of the text book  Statistical Signal Processing (in Dutch).  

He has developed the free educational software package VCDemo for use in image and video compression courses. It is an often downloaded tool for learning about compression techniques: from basic sampling and DPCM, JPEG, to the most advanced scalable embedded zerotree wavelet image compression technique, and the MPEG video compression standard.

CURRENT PROFESSIONAL ASSIGNMENTS

PAST PROFESSIONAL ASSIGNMENTS

STRATEGIC DOCUMENTS AND CLIPS ON AI AND DATA

Professor Lagendijk has contributed to several strategic documents and illustrative video clips on artificial intelligence and big data. An introduction to the FAIR (data) and FACT (data science) principles can be found here, with an  overarching video about the NWA VWData project. An interview about trust in big data can be found here. In 2008, prof. Lagendijk presented TU Delft's Dies Natalis lecture, entitled Get Real! Reflections on Trustworthy Virtuality. The NWA movie Robin contains several dilemma's that deal with today's digital society, such as  Do you let big data determine your ideal career?

The Dutch AI coalition was formed on the basis of the AINED call-to-action, a landscape analysis of AI in The Netherlands, and the NLAIC action agenda; both documents contain strategic contributions by prof. Lagendijk. He was also chair of the team of 40 Dutch AI scientists who composed the Dutch AI research agenda AIREA-NL.

KEY PUBLICATIONS

CONTACT INFORMATION AND MORE

Professor Lagendijk can be found on LinkedIn. His Skype name is RLLagendijk and his Twitter profile is InaldL.

publications
Publications in Pure
subjects
2006 - Multimedia Compression
2006 - Information Processing
2006 - Stochastic Processes
2006 - Stochastic Processes
2006 - Data Carrying Signals
2006 - Selected Topics in Multimedia Computing
2006 - Stochastic Processes
2007 - Data Carrying Signals
2007 - Information Processing
2007 - Stochastic Processes
2007 - Multimedia Compression
2007 - Selected Topics in Multimedia Computing
2007 - Stochastic Processes
2009 - Information Processing
2009 - Stochastic Processes
2008 - Multimedia Compression
2008 - Stochastic Processes
2008 - Information Processing
2008 - Seminar Selected Topics in Multimedia Computing
2009 - Multimedia Compression
2009 - Seminar Selected Topics in Multimedia Computing
2010 - Multimedia Compression
2010 - Seminar Selected Topics in Multimedia Computing
2010 - Stochastic Processes
2011 - Seminar Selected Topics in Multimedia Computing
2011 - Multimedia Compression
2011 - Signaalverwerking
2013 - Signal Processing
2014 - Signal Processing
2012 - Seminar Selected Topics in Multimedia Computing
2012 - Signaalverwerking
2015 - Signal Processing
2018 - Signal Processing
2017 - Signal Processing
2016 - Signal Processing
2019 - Signal Processing
2020 - Network Security
2020 - Signal Processing