Prof.Dr. Inge Gavăt

Inge Gavăt (SM’08) received the M.S. and Ph.D. degrees in electronics and telecommunications from the University “Politehnica” of Bucharest (UPB),
Bucharest, Romania, in 1963 and 1998, respectively.
She is currently a Professor with the Department of Applied Electronics and Information Engineering, Faculty of Electronics, Telecommunications and Information
Technology (ETTI), UPB, and also with the German Branch of the Faculty of Engineering in Foreign Languages, UPB. She is teaching courses in information and estimation theory, in communication theory, and in signal processing and artificial intelligence for man–machine communication. She is often a Visiting Professor at the Technische Universität Darmstadt, Darmstadt, Germany, and the University of Rouen, Rouen, France.
She is involved in advanced research projects and programs in pattern recognition with the Romanian Academy of Sciences, Bucharest, the Military
Technical Academy, Bucharest, the Romanian Space Agency, and the Ministry for Education and Research. She is also involved in bilateral international
cooperation with the Technical University of Munich, Munich, Germany, University of Maribor, Maribor, Slovenia, and Rutgers University, Piscataway,
N.J. She is developing algorithms for pattern recognition with Markov models, neural networks, and fuzzy systems. She worked on recognition applications, with emphasis on man–machine dialog and multimedia applications. In this field, she published numerous papers and a book, together with her research
team. Recently, she has been involved in several projects in the frame of the FP6 Program concerning new technologies to support sustainable humanitarian crisis management using remote sensing imagery. She is also the Coordinator of several ongoing national projects developed in collaboration with the Romanian Space Agency, regarding data mining for floods and other anomaly detection.
She has published several papers regarding the use of information theory in the field of data mining and semantic interpretation. Her interest is in stochastic processes conveying information, model-based sequence recognition and understanding, basics of man–machine communication, and information managing and retrieval in extended databases.