|Prof. Sir Richard Friend|
|Prof. Judea Pearl|
University of California, Los Angeles, are the winners of the Technion’s 2011 Harvey Prize in Science and Technology. The prize ceremony took place at Technion, on March 29, 2012.
Sir Richard Friend, Cavendish Professor of Physics at the University of Cambridge, pioneered the physics, materials science and engineering of semiconductor devices made with carbon-based polymers and demonstrated their successful operation in field-effect transistors, in both light-emitting and photovoltaic diodes as well as in lasers. In pursuing the burgeoning development of this exciting technology, he founded two successful spin-off companies – Cambridge Display Technology Ltd. and Plastic Logic Ltd. The Harvey Prize was awarded to Prof. Sir Richard Friend in recognition of his outstanding contributions to science and technology, which are already making an impact on the semi-conductor industry and our lives. You can enjoy a lecture of Sir. Friend given at Technion below.
Sir Richard also holds the appointment of Distinguished Visiting Professor at Technion, in the Faculty of Electrical Engineering. He was knighted by the Queen in 2003 for services to physics.
Judea Pearl, Professor of Computer Science at the University of California, Los Angeles, through his wide-ranging and keen research, laid the theoretical foundations for knowledge representation and reasoning in computer science. His theories for inference under uncertainty, and most notably the Bayesian network approach, have profoundly influenced diverse fields such as artificial intelligence, statistics, philosophy, health, economics, social sciences, and cognitive sciences. The Harvey Prize was awarded to Prof. Pearl in recognition of his foundational work that has touched a multitude of spheres of modern life.
Judea Pearl completed his bachelor's degree at Technion in 1960, in electrical engineering.
First awarded in 1972, Technion's prestigious Harvey Prize was created as a bridge of goodwill between Israel and the nations of the world. It is considered a good predictor of the Nobel Prize.