- Prof. Marc Riedel
(University of Minnesota, USA)
Marc Riedel is Associate Professor of Electrical and Computer Engineering
at the University of Minnesota. From 2006 to 2011 he was Assistant Professor.
He is also a member of the Graduate Faculty in Biomedical Informatics and
Computational Biology. From 2004 to 2005, he was a lecturer in Computation
and Neural Systems at Caltech. He has held positions at Marconi Canada, CAE
Electronics, Toshiba, and Fujitsu Research Labs. He received his Ph.D. and
his M.Sc. in Electrical Engineering at Caltech and his B.Eng. in Electrical
Engineering with a Minor in Mathematics at McGill University. His Ph.D.
dissertation titled "Cyclic Combinational Circuits" received the Charles
H. Wilts Prize for the best doctoral research in Electrical Engineering at
Caltech. His paper "The Synthesis of Cyclic Combinational Circuits" received
the Best Paper Award at the Design Automation Conference. He is a recipient
of the NSF CAREER Award.
- Prof. Pauli Miettinen
(University of Eastern Finland, Finland)
Pauli Miettinen is a professor of data science at the University of Eastern
Finland. Previously he was a senior researcher and head of the area Data
Mining at the Databases and Information Systems department of the Max-Planck
Institute for Informatics, Germany. He is also an Adjunct Professor (docent)
of computer science at the University of Helsinki, Finland, where he previously
worked in Prof. Heikki Mannila's group, and received his PhD in 2009.
His main research interest is in Algorithmic Data Analysis. In particular,
he has been working on matrix and tensor decompositions over non-standard
algebras, such as Boolean or subtropical algebra, and their applications
to data mining, both as a tool for knowledge discovery, and also as a
unifying language for many data analysis problems. His research has
resulted in numerous publications in top data mining venues, three best paper
prices (PKDD'06 Best paper; PKDD'08 & ECML PKDD'16 Best student paper),
and an honorary mention at 2010 ACM SIGKDD Doctoral dissertation awards.
- Dr. Andrew Cross
Dr. Andrew Cross is a Research Staff Member and Manager of the
Theory of Quantum Computing and Information group at the IBM T.J.
Watson Research Center. He received an S.M. and Ph.D. in Electrical
Engineering from the Massachusetts Institute of Technology in 2008;
before that, he graduated with a B.S. in Electrical Engineering,
and minors in Mathematics, Physics, and Music, from Case Western
Reserve University. His research interests include quantum computing,
quantum error correction, fault tolerance, validation techniques,
and control of superconducting qubits. Dr. Cross has been
recognized by IBM for his outstanding contributions to the
development of the IBM Q Experience and Qiskit open-source
software for quantum computing.