Background: Licenciado (5-year degree) in Mathematical Sciences,
Complutense University of Madrid (extraordinary
graduation prize in the
Area of Experimental Sciences).
PhD '95 in Operations Research, MIT (Fulbright fellow).
Postdoc stints at MIT (1995/96) and CORE-Catholic
University of Louvain (1996/97; CORE and
Marie Curie
fellow).
Faculty member (1997-2003) at Pompeu Fabra
University's Department of Economics and Business.
design and analysis of near-optimal index policies for
dynamic resource allocation in
Markov decision process models of a variety of systems
Theory and algorithms for restless bandit indexation:
I introduced the first general sufficient indexability conditions
for
a finite-state restless bandit, along with an adaptive-greedy
index algorithm and
the framework of partial conservation laws (PCLs), in
2001; I extended such results to finite-state restless bandits
fed by a general resource, casting the PCL framework into a
polyhedral linear programming framework, in 2002;
I extended such results in 2006
to countable-state semi-Markov restless bandits;
see the survey2007
Design of new dynamic index policies via restless bandits:control of admission and routing to parallel queues
(2002,
2007);
scheduling a multiclass make-to-order/make-to-stock M/G/1
queue (NM-2006);
scheduling a multiclass finite-buffer delay-/loss-sensitive
queue (2006)
Design of efficient index algorithms: for
the Gittins index (2007);
for the Asawa and Tekenektzis index for bandits with switching costs (2008)
multiclass queueing systems: scheduling and control; see J. Niño-Mora
(2010). Klimov's model. In
Wiley Encyclopedia of Operations Research and Management Science,
J.J. Cochran (Editor-in-Chief). Wiley.
conservation laws; see J. Niño-Mora
(2010). Conservation laws and related applications. In
Wiley Encyclopedia of Operations Research and Management Science,
J.J. Cochran (Editor-in-Chief). Wiley.
linear programming approach to Markov decision processes
For prospective
PhD students:
The Statistics Department offers PhD studentships on a competitive basis,
to pursue doctoral studies in one of the following programs:
The
Master and
PhD programs in Business Administration and Quantitative Methods
and the
Master and
PhD programs in Mathematical Engineering.