CURRICULUM VITAE OF PAOLO d'ALESSANDRO

Paolo d'Alessandro was born in Brescia (Italy) in 1945. He holds a degree in Electronic Engineering (1968) and a postdoctoral degree in Computer and System Engineering (1971), both from University of Rome ''La Sapienza''.

In 1968 he joined the Department of Computer and System Sciences of University of Rome ''La Sapienza''. He has held professorships at Universities of Ancona and of LAquila. In 1980 he got his full professorship. In 1992 he joined (as cofounder) the Department of Mathematics of the Third University of Rome.

From 1975 to 1976 he has been visiting first the Division of Applied Physics at Harvard University and then the Department of System Science at U.C.L.A. supported by two NATO fellowships.

Paolo d'Alessandro has authored or coauthored 57 papers on System Theory, Optimization, Decision support and related fields. Most of them are published in 19 international journals and various books. He authored the book: ''A conical approach to linear programming - scalar and vector optimization problems'' published by GORDON and BREACH in 1997.

He has been reviewer for Zentralblatt fur Mathematik for papers and books in the areas of Optimization, System Theory and Decision Support Systems.

A few upshots of research activity. After some work on linear time-varying system, he has been among the initiators of bilinear system theory. Then he turned for a while to foundations of system theory and stochastic systems. In the eighties he started research on range space methods in Optimization. He has introduced a range space, conical approach to linear (scalar and vector) programming including three new algorithms of linear programming and algorithms for vector linear programming (without resorting to scalarization). He has then developed a theory of social choice that preserves the vectorial nature of both individual and group decisions without scalarizing the first, as in famous 1951 book of K.J. Arrow. Recently he has applied the machinery of the range space approach to linear programming to various control problems, introducing the theory of an optimal regulator based on inequative feedback, developing a theory of controlled invariance and a generalization of the theory of positive systems.

Current orientaion of research are evolving toward the theory of polyhedra in infinite dimensions, optimal control for PDE and geometrical and optical study of visual perception.