University of Melbourne, Australia
Plenary Speaker
Dr Lachlan Andrew is a lecturer in Computer and Information Systems at the University of Melbourne. Previously he was an associate professor at Monash University and at Swinburne University of Technology, and before that he was a senior research engineer at Caltech. Lachlan's interests are proving theoretical guarantees of the performance of algorithms, such as competitive ratios of online algorithms and approximation bounds on NP-hard algorithms. He has worked on hidden Markov models (HMMs), queueing theory, model predictive control (receding horizon control), dynamic programming, duality models of convex optimization, combinatorial optimization, stochastic processes (reversible Markov chains with product form solutions, Brownian motion models of renewable energy systems, convergence delays of the online Viterbi algorithm, delay analysis of contention based network protocols), dynamical systems (proof of stability of congestion control algorithms) and statistical machine learning.
University of North Carolina Wilmington, USA
Plenary Speaker
Karl Ricanek Jr., Ph.D., is a Professor of Computer Science in the College of Science and Engineering at the University of North Carolina Wilmington, where he has served since 1999. He is the Director of the Institute for Interdisciplinary Identity Sciences (I³S) and was founding Co-Director of the National Intelligence’s first Center of Academic Excellence in Science and Technology (CASIS). Dr. Ricanek earned his Ph.D., M.S., and B.S. in Electrical Engineering from North Carolina A&T State University, graduating summa cum laude and holding memberships in multiple engineering and academic honor societies. He is a Senior Member of both the National Academy of Inventors and the Institute of Electrical and Electronics Engineers (IEEE).