Fundamentals of Probability, Random Signals and Statistics for Machine Learning with MATLAB

Gordana Jovanovic Dolecek received a BSc and Ph.D. degree from the University of Sarajevo, Bosnia, and Herzegovina, and an MSc degree from the University of Beograd, Serbia. In 1995 she joined Institute INAOE, Department for Electronics, Puebla, Mexico, where she works as a full professor. She was a visiting researcher with UCSB, Santa Barbara, USA, in 2001-2002, 2006, with SDSU San Diego, USA, in 2008-2009, and with UCLA, Los Angeles, USA, in 2015-2016. She is the author/coauthor of more than 90 journals and 500 conference papers. She is the author of the book: “Random Signals and Processes Primer with MATLAB,” Springer NY: 2013, and editor of books: “Advances in Multirate Systems,” Springer, NY, 2017, and “Multirate Systems: Design and Applications,” IGP, Hershey, USA, 2001. In 2022 she was the recipient of the IEEE Puebla award and got her achievement as the best Associate Editor of the journal IEEE Transactions on Circuits and Systems I: Regular Papers for 2020 and 2021-2022. In 2012 she received the Science and Technology Puebla State Award for her research work in electronics. She is a member of the Mexican Academy of Sciences, SNI of Mexico, and Life Senior Member, IEEE. She was the Associate Editor for IEEE Transactions on Circuits and Systems I: Regular Papers, and IEEE Circuits and Systems Magazine. She is the Senior Associate Editor for IEEE Transactions on Circuits and Systems II: Express Brief and Associate Editor for IET Signal Processing. She was a committee member for more than 60 international conferences. She is a member of the review committee (RC) of the flagship Circuits and Systems (CAS) conference IEEE ISCAS and a member of the CAS committee, both for Digital Signal Processing (DSP). Her research interest includes Digital Signal Processing (DSP), Digital Communications, Machine Learning (ML), and Deep Learning (DL) for DSP and Digital Communications, Applications of the mathematics methods for DSP and Novel methods for DSP and Digital Communications teaching.