Prof. Bruno Carpentieri
University of Salerno, Italy
Speech Title: Understanding Data Compression: Acquired Knowledge and Practices
Abstract: Digital
data compression has become a central topic in modern
information technology. Without it, key innovations such
as digital television, mobile communications, and
broader digital data transmission would not be feasible.
Compression is closely intertwined with clustering and
learning, each representing dimensions of the same
multifaceted problem. Interestingly, the insights gained
from compression processes can inform both learning
algorithms and clustering techniques. In this
presentation, we will explore recent advancements in
data compression and examine its deep connections with
learning and clustering methodologies.
Biography: Bruno
Carpentieri graduated in Computer Science at the
University of Salerno, and then obtained the Master of
Arts Degree and the Philosopy Doctorate Degree in
Computer Science at the Brandeis University (Waltham,
MA, USA).
Since 1991, he was first Researcher, then Associate
Professor and finally Full Professor of Computer Science
at the University of Salerno (Italy).
His research interests include data compression and
information hiding.
He was Associate Editor of IEEE Trans magazine. on Image
Processing and is still Associate Editor of the
international journals Algorithms and Security and
Communication Networks. He was also chair and organizer
of various international conferences including the
International Conference on Data Compression,
Communication and Processing, co-chair of the
International Conference on Compression and Complexity
of Sequences, and, for many years, a member of the
program committee of the IEEE Data Compression
Conference.
He has been responsible for several European Commission
contracts in the field of data compression (compression
of digital images and videos).
He directs the Data Compression Laboratory at the
Computer Science Department of the University of
Salerno.
Assoc. Prof. Akbar Sheikh-Akbari
Leeds Beckett University, UK
Biography: Akbar Sheikh-Akbari received the B.Sc. (Hons.), M.Sc. (Hons.), and Ph.D. degrees in electronic and electrical engineering. He is currently an Associate Professor (Reader) with the School of Built Environment, Engineering and Computing, Leeds Beckett University. After completing his Ph.D. at Strathclyde University, he joined Bristol University to work on an EPSRC project in stereo/multi-view video processing. He continued his career in the industry, working on real-time embedded video analytics systems. His main research interests include biometric identification techniques, color constancy techniques, image source camera identification, hyperspectral image processing, standard and non-standard image/video codecs, e.g., H.264 and HEVC, multiview image/video processing, image resolution enhancement methods, assisted living technologies, compressive sensing, camera tracking using retro-reflective materials, and signal processing.