Aggelos Pikrakis (Eng., Ph.D.) is a tenured Assistant Professor with the Department of Informatics at the University of Piraeus, Greece. His research interests lie in the areas of machine learning/artificial intelligence for audio, video, speech and music signals with an emphasis on deep neural network architectures, dictionary learning algorithms, hidden Markov Models and dynamic time warping techniques. He is a co-inventor of granted patents on music recommendation technology and he has co-authored two international textbooks with Academic Press in the areas of pattern recognition and audio analysis, as well as more than 50 research papers in international journals and conferences, including IEEE Transactions on ASLP, IEEE Transactions on Multimedia and IEEE ICASSP. He has also served for a number of years as an Associate Editor of the EURASIP Journal on Advances in Signal Processing. During the past 15 years, he has been teaching various courses related to audiovisual signal processing and machine learning and is supervising Ph.D. theses in the areas of speech pathology detection, intelligent music sensing and audio event detection in weakly labelled environments. His work has received award recognition through the years, including a 1st position in the MIREX contest for algorithms, an IEEE MMSP best paper award (co-author) and the 2019 EURASIP Meritorious Service Award.
