Volkan CevherVolkan Cevher received the B.Sc. (valedictorian) in electrical engineering from Bilkent University in Ankara, Turkey, in 1999 and the Ph.D. in electrical and computer engineering from the Georgia Institute of Technology in Atlanta, GA in 2005. He was a Research Scientist with the University of Maryland, College Park from 2006-2007 and also with Rice University in Houston, TX, from 2008-2009. Currently, he is an Associate Professor at the Swiss Federal Institute of Technology Lausanne and a Faculty Fellow in the Electrical and Computer Engineering Department at Rice University. His research interests include machine learning, signal processing theory, optimization theory and methods, and information theory. Dr. Cevher is an ELLIS fellow and was the recipient of the Google Faculty Research award in 2018, the IEEE Signal Processing Society Best Paper Award in 2016, a Best Paper Award at CAMSAP in 2015, a Best Paper Award at SPARS in 2009, and an ERC CG in 2016 as well as an ERC StG in 2011.
Jamie PaikProf. Jamie Paik is founder and director of the Reconfigurable Robotics Lab (RRL) of Swiss Federal Institute of Technology (EPFL) and a core member of Swiss NCCR robotics group. The RRL leverages expertise in multi-material fabrication and smart material actuation for novel robot designs. She received her PhD in Seoul National University on designing humanoid arm and a hand while being sponsored by Samsung Electronics. This 7-DoF humanoid arm was the lightest in the literature at that time being 3.7kg including the 8-DoF hand. During her Postdoctoral positions in the Institut des Systems Intelligents et de Robotic in Universitat Pierre Marie Curie, Paris VI, she developed laparoscopic tools named JAiMY that are internationally patented and commercialized now by Endocontrol-medical.com. At Harvard University’s Microrobotics Laboratory, she started developing unconventional robots that push the physical limits of material and mechanisms. Her latest research effort is in soft robotics including self-morphing Robogami (robotic origami) that transforms its planar shape to 2D or 3D by folding in predefined patterns and sequences, just like the paper art, origami.