interested in all aspects of intelligence, especially from a
My research has included the following threads:
Mostly machine learning, now, for more
than a decade! Key problem properties have involved and continue to revolve
around large-scale learning, online learning, data mining,
active learning, imperfect/noisy features/feedback, multiple
(learning) systems interacting, etc.
I am inspired by how our minds might work! In particular, the
type of problems that we solve. An important feature
of our intelligence that separates us humans from many other animals
is the huge number of inter-related concepts that we (apparently) acquire and
develop and effectively use. Here, by "concept" I mean a recurring
(and useful) pattern, such as words and phrases uttered in continuous
speech, or visual objects and entities such as books, faces, common
action sequences, etc. What tasks and problems, processes and
algorithms, and representations and data structures, support such
complexity? These questions are very broad and provide a starting
point. I hope to contribute to answering some such questions, in
particular from the perspective of computational learning and
I have been working on efficient learning algorithms for
supervised learning problems with high input and output
dimensionalities (potentially huge numbers of features and
classes/concepts). The initial focus has been on online algorithms
that can handle dynamic sets of classes, possible nonstationarities,
Another very challenging class of problems involves acquiring and working with many concepts autonomously (without explicit teaching)
unsupervised concept or feature induction, cumulative persistent
learning, noisy feedback, autonomous "mental"
development, computational development).
Other related threads in my work include empirical and theoretial
analyses of algorithms (in particular, inspired by AI problems, such
as Markov Decision Processes (MDPs)), exploration of applications, and
discovery of new problems in the applications. Past and future
application areas include information retrieval, text and
natural language processing, game playing, personalization, vision,
and so on.
I am a founding member of the Tetration Analytics group at Cisco (since 2014), exploring machine learning/data analytics to make data centers more intelligent and secure. Previously, in reverse chronological order, was at Google (ml for YouTube, nlp), at SRI, Yahoo Research, U Alberta, U Wash, U Houston, Saddleback CC, and spent my formative years in Iran (Bandar Abbas and Tehran), then Dubai.
Please see the
for further information on my work.