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Kirk Martinez is a Professor in Electronics and Computer Science at the UK. He gained a BSc in Physics from the University of Reading and a PhD in Image Processing in the department of Electronic Systems Engineering at the . While Arts Computing Lecturer at (1987–96) he pioneered the digital imaging of paintings together with in the European project VASARI (1980s). This led to development of art imaging projects to print accurate art books (MARC project), view high detail images on the web (Viseum project) and find art images online (Artiste, SCULPTEUR and eCHASE). He has published this research in books on image processing and computer architecture as well as Transactions of the IEEE on He was an advisor on the imaging and image processing required for the . Recent research led to a new imaging system for ancient seals together with Oxford University - which is helping to capture and read historic texts.

He is one of the founders of the Electronics and the Visual Arts: . He helped to found the Earth and Space Science Informatics focus group of the , is on the executive committee and has run ten annual sessions on applying sensor networks to earth science. In 2017 he received the AGU's Leptoukh award for contributions to this area.

He is the co-founder of the image processing package together with John Cupitt ( and now Imperial College London). This is used widely and available as a standard package in Linux distributions as well as for Microsoft Windows/OS X. It is known for mosaicing, colour and parallel processing/performance. It has become the fastest way to generate thumbnails and resize images on web servers so is in use in Wikipedia itself and sites such as Booking.com.

His current research is on Environmental Sensor Networks which are for studying/monitoring the environment, particularly in relation to glaciers and (Glacsweb project). This research featured on and the , it was the first wireless sensor network designed to be used in/under glaciers. His work to test the technology for landslide detection was also on BBC news. In 2014 he deployed what was probably the first low power, sub-GHz, fully-IP based Internet of Things environmental sensor network in the .