Alexandros Angelakis

I am an MSc student in Computer Science and Engineering at the University of Crete (GPA: 9.64/10.00), with a focus on Artificial Intelligence, Machine Learning, and Signal Processing. My thesis explores adaptive Mel-Frequency Cepstral Coefficients (MFCCs) for speech signal processing, under the supervision of Dr. George Kafentzis. I am also a member of the Speech Signal Processing Lab as an MSc student. In addition, I serve as a Teaching Assistant in the Applied Mathematics for Engineers and Digital Signal Processing courses, supporting lectures, grading, and student mentoring.

In parallel, I am a research intern at the Data Science Lab of IACM-FORTH, working with Dr. Yannis Pantazis. I contributed to the development of NeuroDiMe, a unified Python library for neural-based estimation of statistical distances (e.g., f-divergences, IPMs), used in representation learning and generative modeling. Since June 2024, the project has been supported by Apple Inc.

My recent research at the Speech Signal Processing Lab involves analyzing spectral features of cough audio signals for Tuberculosis detection using deep learning techniques. I have also assisted in testing a new multi-speaker Greek speech dataset to support advancements in text-to-speech systems.

I hold a BSc in Computer Science from the University of Crete (GPA: 8.77/10.00), where I worked as a teaching assistant for several courses, participated in outreach events, and mentored first-year students. I have received multiple academic honors, including three scholarships from the State Scholarships Foundation (IKY) and the Chrysanthos and Anastasia Karidis Scholarship for outstanding performance in the national entrance exams.

For more details, please refer to my detailed CV.