Teaching
Service

Teaching


699 and 499 are offered EVERY SEMESTER.
Office hours: Friday 2-3, and by appointment.
Spring 2017
ICS 636 Information Theory in Machine Learning
ICS 435 Machine Learning Fundamentals
Fall 2016
ICS 635 Machine Learning
ICS 101 Tools for the Information Age
Spring 2016
ICS 101 Tools for the Information Age
ICS 141 Discrete Mathematics
Fall 2015
ICS 636 Information Theory in Machine Learning
ICS 141 Discrete Mathematics
Spring 2015

ICS 101 Tools for the Information Age
Fall 2014
ICS 101 Tools for the Information Age
Spring 2014
ICS 141 Discrete Mathematics
ICS 101 Tools for the Information Age
Spring 2012
ICS 635 Machine Learning
ICS 141 Discrete Mathematics
Fall 2011

ICS 691 Applications of Machine Learning
ICS 141 Discrete Mathematics
Spring 2011
ICS 435 Machine Learning Fundamentals
ICS 141 Discrete Mathematics
Fall 2010
ICS 691 Advanced Topics in Robotics
ICS 141 Discrete Mathematics
Spring 2010
ICS 635 Machine Learning
ICS 141 Discrete Mathematics
Fall 2009
ICS 141 Discrete Mathematics
Spring 2009
ICS 636 Information Theory in Machine Learning
ICS 141 Discrete Mathematics
Fall 2008
ICS 635 Machine Learning
Spring 2008
ICS 491 Neuroinformatics and Machine Learning: From synapses to algorithms. An Introduction.
ICS 141 Discrete Mathematics
Spring 2007
ICS 635 Computational Intelligence / Machine Learning
Fall 2006
ICS 691 Machine Learning
Spring 2005
ICS 691 Bioinformatics, Machine Learning and Quantitative Biology

SYLLABI FOR: ICS 141 Discrete Mathematics, ICS 435 Machine Learning Fundamentals, ICS 635 Machine Learning, ICS 636 Information Theory in Machine Learning. 

Service


Science Community:

Editorial Board: Entropy

Reviewing:
  • Advances in Complex Systems
  • CHAOS
  • Computer Vision and Pattern Recognition
  • European Biophysical Journal (EBJ)
  • Entropy
  • IEEE Robotics and Automation Letters
  • IEEE Transactions on Neural Networks and Learning Systems 􏰂 IEEE Transactions on Knowledge and Data Engineering
  • Neural Computation
  • Journal of Banking and Finance
  • Physical Review Letters (PRL)
  • Physical Review E
  • Proceedings of the National Academy of Sciences (PNAS)
  • Transactions on Pattern Analysis and Machine Intelligence
  • Transactions on Knowledge and Data Engineering
Proposal reviewing: National Science Foundation (NSF), Panelist

Conference Organization: Modeling Neural Activity (MONA): Statistics, Dynamical Systems and Networks, Lihue, HI, June 26-28, 2013. Local Chair. (NSF sponsored)


University of Hawai`i at Manoa Service

ICS Department Service

(Multiple years and/or ongoing):

Ph.D. committee chair:

Ph.D. committee member:

Local Science Community:

Manoa Seminar Series in Machine Learning and Computational Neuroscience: Organizer (2005-present)