Ignacio Ponzoni received the B.Sc. degree in Computer Science from the Universidad Nacional
del Sur, Bahía Blanca, Argentina, in 1996. He obtain a fellowship from the National Council of
Scientific and Technological Research of Argentina (CONICET) in 1996 and received a Ph.D. on
Computer Science from the Universidad Nacional del Sur in 2001. His Ph.D. thesis was focused
in computer-aided instrumentation design of industrial processes using artificial intelligence,
parallel computing and graph theory.
At the present time, he is a Lecturer at the Department of Computer Science and Engineering of
Universidad Nacional del Sur, and a Scientific Researcher of Planta Piloto de Ingeniería
Química, which is a National Research Institute of CONICET.
Since 1996 Ignacio Ponzoni has participated in ten research projects as a researcher, co-head
or head of different research groups. During this period he has produced about seventy
research reports in the form of journal articles, conference and workshop papers.
Ignacio Ponzoni has been actively involved with different technical events serving as chair, steering
committee member, program committee member or reviewer. He is also an active member of ACM.
Main Research Interests:
- multi-objective evolutionary algorithms to sensor network design for industrial processes
- machine learning algorithms for predicting ADMET properties for drug design
- metaheuristic techniques for inferring time-delay gene regulatory networks