About Me

Born in Athens, Greece, in November 1973, my academic journey began when I enrolled in the Department of Electrical and Computer Engineering at the University of Patras in 1991. My passion for technology and communication led me to complete my diploma thesis, “POLYMNIA: Developing a Tele-Education System” at the Wired Telecommunications Laboratory in 1996.

Fascinated by the challenges of signal processing and artificial intelligence, I pursued doctoral studies focusing on “Blind Separation and Recognition of Speech in a Multi-simultaneous Speaker Environment” under the supervision of Professor George Kokkinakis. This research allowed me to develop novel techniques for extracting individual voices from complex audio environments – essentially solving the “cocktail party problem” where multiple people speak simultaneously.

After completing my Ph.D. in 2002, I served my military obligation as a Specialist Scientist in the Greek Army’s Research and Informatics Corps, where I worked on information systems management and war gaming simulations support. This experience provided me with a unique perspective on practical applications of computational systems outside the academic realm.

My post-doctoral research path led me through various institutions, including the Medical School of the University of Patras, where I began exploring human brain functionality using non-invasive techniques and digital signal processing methodologies. This interdisciplinary work at the intersection of engineering and neuroscience sparked my interest in brain-computer interfaces and biomedical signal analysis, areas that continue to fascinate me today.

Throughout my career, I’ve held academic positions of increasing responsibility – from Laboratory Associate at the Technical Educational Institute of Patras to my current role as Associate Professor at the Department of Electrical and Computer Engineering at the University of Peloponnese. Along this journey, I’ve had the opportunity to teach courses ranging from Digital Signal Processing and Computer Graphics to Biomedical Engineering, sharing my passion with hundreds of students and supervising over 160 graduate theses.

In 2020, I founded the Signal, Image Processing and Pattern Recognition Research Group (SIPPRE) at the ECE Department, University of Peloponnese. Though relatively new, SIPPRE has already brought together talented academics, researchers, and students in a collaborative environment where we pursue cutting-edge research in digital signal processing and pattern recognition.

My research interests have evolved and expanded over time, encompassing digital sound and image processing, biomedical signal analysis, computer-aided diagnostic systems, brain-computer interfaces, machine learning, and even tourism data forecasting. This diverse portfolio reflects my belief in the power of computational techniques to solve problems across multiple domains. I’m particularly drawn to research at the intersection of artificial intelligence and healthcare, where technology can make meaningful improvements to human lives.

I’m privileged to serve as a Topics Board Editor for MDPI Electronics Journal, Editor-in-Chief for Advances in Signal Processing, and Editorial Board Member for the International Journal of Cultural & Digital Tourism. These roles allow me to stay at the forefront of emerging research and contribute to shaping the direction of these fields.

Beyond my academic work, I believe strongly in the importance of mentorship and community engagement. I participate actively in the IEEE EMBS Student Mentoring Program and the IEEE Mentoring Experiences for Underrepresented Young Researchers Program, helping to guide the next generation of engineers and researchers.

As I look to the future, I remain committed to pushing the boundaries of what’s possible in signal processing and pattern recognition, particularly in biomedical applications. I believe that the combination of advanced computational techniques with domain-specific knowledge can lead to breakthroughs in areas like brain-computer interfaces, medical image analysis, and personalized healthcare.

I invite you to explore my publications and ongoing research projects, and I welcome opportunities for collaboration with fellow researchers, industry partners, and students who share my passion for using technology to solve meaningful problems.