Alexandros Angelakis

I hold an MSc in Computer Science and Engineering from the University of Crete (GPA: 9.64/10.00), specializing in Artificial Intelligence, Machine Learning, and Signal Processing. My thesis focused on Adaptive AM-FM Features for Parkinson’s Disease Detection from Speech, conducted as a member of the Speech Signal Processing Lab (SSPL). During my Master’s studies, I also served as a Teaching Assistant for Applied Mathematics for Engineers (Head TA), Digital Signal Processing, and Digital Speech Signal Processing, supporting lectures, grading, and student mentoring.

Previously, I was a research intern at the Data Science Lab of IACM-FORTH, working with Dr. Yannis Pantazis.

I also hold a BSc in Computer Science from the University of Crete (GPA: 8.77/10.00), where I worked as a teaching assistant for courses including Applied Mathematics for Engineers, Probabilities, and Information System Analysis and Design. I have received multiple academic honors, including four scholarships from the State Scholarships Foundation (IKY) (2020–2023) and the Chrysanthos and Anastasia Karidis Scholarship for outstanding performance in the national entrance exams.

I have actively engaged in the academic community by delivering outreach presentations to high school students, highlighting research from the Speech Signal Processing Laboratory, and mentoring first-year students through the STEER mentoring program as a Peer Mentor.

For more details, please refer to my detailed CV.

selected publications

Adaptive AM-FM Decomposition of Speech for Parkinson’s Disease Classification

Alexandros Angelakis, and George P. Kafentzis

IberSPEECH, 2026

Bib HTML

@article{angelakis2026adaptive,
  title = {Adaptive AM-FM Decomposition of Speech for Parkinson's Disease Classification},
  author = {Angelakis, Alexandros and Kafentzis, George P.},
  journal = {IberSPEECH},
  year = {2026},
}