Yannis Stylianou is Professor of Speech Processing at University of Crete and Senior Research Scientist at Apple. Former positions include AT&T Labs Research, Bell-Labs, and Toshiba Cambridge Research Lab. IEEE Fellow with PhD from ENST-Paris and over 200 publications. Research spans: Adaptive speech/audio modeling Neural speech synthesis/enhancement Biomedical signal processing Awards include: IEEE Fellowship French Ministry Research Fellowship ENST Graduate Scholarship Recent work focuses on neural TTS architectures, intelligibility enhancement, and multimodal synthesis. Organizes annual International Summer School on Speech Processing.
Panagiotis G. Zervas is an Associate Professor at the Department of Electrical and Computer Engineering, University of Peloponnese (since 2020). His expertise spans audio signal processing, music information retrieval, and natural language processing for knowledge extraction. He teaches courses including Signals & Systems, Digital Signal Processing, and Machine Learning. His research focuses on AI-driven applications in sound analysis, music feature extraction, and multimodal information processing. Education: PhD (2007) in Electrical Engineering from the University of Patras, specializing in Greek prosody modeling for text-to-speech systems. Previous roles include Assistant Professorships at Hellenic Mediterranean University (2015–2020) and Technical Educational Institute of Crete (2008–2015). Research Interests: Natural Language Processing (NLP) for text analysis and large language models (LLMs) Audio signal processing, voice analysis, and embedded systems AI applications in job market analytics and skills frameworks Machine learning for music information retrieval Notable Projects: Principal Investigator in EU projects EU-ALMPO (2025–), Train4Blue (2025–), GROWTH4BLUE (2024–), and MICROIDEA (2024–) World Bank consultant (2023–) for AI-driven employment systems in Greece and Pacific Islands Publications in journals like 'Acoustics' and conferences like WAC 2022 and Forum Acusticum 2023 Office: Building K, Office K2.07 | Contact: pzervas@uop.gr
Dr. Christos Antonopoulos is an Associate Professor at the Department of Electrical and Computer Engineering, University of Patras. He holds a Diploma and PhD in Electrical Engineering from the University of Patras (2002, 2008) and has participated in over 16 European research projects (FP5, FP6, FP7, Horizon 2020) and 6 national projects. Research Interests: Wireless Networks Cyberphysical Systems Embedded Software Architecture Internet of Things Cross-Layer Protocols Sensor Networks Technical Expertise: His work involves network simulation, power optimization, and reconfigurable computing. He has published >100 journal/conference papers and 13 book chapters with over 1000 citations.
Loukas Hadellis is a Professor in the Department of Electrical Engineering and Computer Technology at the University of Patras. He holds a PhD from the same department (2002) and a Master of Engineering from Carleton University, Canada (1983). His research focuses on Industrial Communication, Smart Grid technologies, Sound Engineering, and Fiber Optic Communication. He advises on projects related to IoT, Energy Management, and Automation Systems. Research interests include fieldbuses, microcontrollers, industrial IoT, interoperability, distributed control, and smart grid DSM/ADR. He has contributed to advancements in audio electronics, optical communication systems, and context-aware control frameworks. His work integrates theoretical models with practical applications, such as optimizing energy costs in smart homes and developing demand response systems for smart grids. He maintains active collaborations in both academic and industrial sectors.
Stefanos Papadakis serves as a Research Staff Scientist at the Telecommunications and Networks Laboratory (TNL) of the Institute of Computer Science at Foundation for Research and Technology-Hellas (FORTH) and holds an Adjunct Lecturer position in the Department of Computer Science at the University of Crete. Since 2001, he has pioneered hardware and software prototyping at TNL-FORTH, currently leading the Software Defined Radio (SDR) group he established to drive vertical integration from physical layer design to application development. His educational foundation includes a Physics degree (2001) and M.Sc. (2004) and Ph.D. (2009) in Computer Science, all earned at the University of Crete. Teaching responsibilities encompass core courses CS-330: Introduction to Telecommunication Systems Theory and CS-435: Network Technology & Programming. Papadakis' research spans wireless innovation frontiers including software-defined/cognitive radios, spectrum sharing, heterogeneous networking, position location, radio propagation modeling, and emergency communications. His work emphasizes practical implementation, yielding functional prototypes across the entire communications stack. Notable contributions include GPU-accelerated SDR frameworks, robust spectrum virtualization techniques, and emergency response communication systems validated through international competitions. Analysis of his 15 most recent publications (2010-2016) reveals dominant themes in SDR optimization for IoT and critical communications, with significant focus on GPU parallelization, interference management in dense networks, and real-time spectrum sharing mechanisms. His experimental approach consistently bridges theoretical models with hardware validation, particularly in emergency response and heterogeneous network scenarios. Key recognitions include: Ericsson Award of Excellence in Telecommunications for position location research First place in PENED doctoral proposal competition Fourth place in IEEE DySPAN 2015 5G Spectrum Challenge Second place in Virginia Tech ShaRC 2016 with the 'Skynet' cognitive radio system Mentorship spans 16 undergraduate projects (11 completed), 8 M.Sc. students (3 completed theses), and 1 Ph.D. candidate. His research is sustained through major EU and national projects including REDComm (emergency communications), EU-MESH (metropolitan networks), RERUM (IoT security), and Heraklion smart city initiatives. The SDR group maintains critical infrastructure like the Heraklion metropolitan wireless network, FORTH campus network, and specialized mobile emergency nodes equipped with multi-radio SDR platforms, satellite transceivers, and high-performance computing resources.
Themos Stafylakis is an Associate Professor at the Department of Informatics of Athens University of Economics and Business (AUEB), a role he assumed in 2023. He also serves as the head of the Machine Learning and Voice Biometrics departments at Omilia (Cyprus and Greece) since 2018. Additionally, he collaborates as a researcher at the Archimedes unit of the "Athena" Research Center. His academic journey includes a PhD in voice applications from the School of Electrical and Computer Engineering of NTUA (2011), a master's from Imperial College London (2005), and a bachelor's from NTUA (2004). Professional experience includes postdoctoral research at ÉTS University of Montreal (2011-2013) and CRIM research center (2011-2016), followed by work at the University of Nottingham on audiovisual speech recognition under a Marie Sklodowska-Curie fellowship (2016-2018). His research focuses on speaker recognition, audiovisual speech processing, and machine learning applications. Key contributions include advancements in speaker verification, diarization, and self-supervised learning techniques. He has contributed to datasets like KAN-AV and participated in challenges such as NIST-SRE and ASVspoof. Educations: Bachelor's: School of Electrical and Computer Engineering, NTUA (2004) Master's: Imperial College London (2005) PhD: NTUA (2011) His research interests span speaker recognition, audiovisual speech analysis, and machine learning innovations. Notable achievements include developing robust speaker verification systems and contributing to spoofing detection methodologies. He has received a Marie Sklodowska-Curie Individual Fellowship (2016-2018). His work bridges academia and industry, with applications in biometric systems, conversational AI, and multimodal data analysis. Collaborations include institutions like CRIM, ÉTS, and the Athena Research Center.
Dionysios Politis is an Assistant Professor at the Aristotle University of Thessaloniki in the Department of Informatics. He holds multiple degrees including a PhD in Informatics from Aristotle University (1998), a Master's in Computer Science from RMIT Australia (1991), and a Master's in Electronic Physics from Aristotle University (1990). His professional experience spans roles as Lecturer (2002), Special Educational Staff (1993-2002), and EU Expert in Legal Informatics. Research Interests: Politis leads research in interdisciplinary domains including Music Information Technology, Human-Computer Interaction, Mobile Device Interfaces, Legal Informatics, and E-Learning Methodologies. His work integrates computational approaches with cultural heritage preservation and accessibility technologies. Publications: Recent articles focus on computational musicology, biomedical interfaces, digital forensics in media distribution, and cross-cultural music analysis. Key themes include chromaticism modeling, ancient music reconstruction, cochlear implant technologies, and e-justice systems. Laboratory: Affiliated with the Multimedia & Human-Computer Interaction Computer Music Lab, where he explores audio-visual interfaces and digital sound applications.
Kaliakatsos Papakostas Maximos is an Associate Professor in AI in Music at the Department of Music Technology and Acoustics, Hellenic Mediterranean University, where he also directs the MSc program in Sound and Music Technologies. He collaborates with the Athena Research and Innovation Centre and the Cognitive and Computational Musicology Group at Aristotle University of Thessaloniki. His research focuses on computational creativity, neural networks in music understanding, evolutionary algorithms for harmony and rhythm generation, and interactive music systems. He develops applications like Genius Jam Tracks and contributes to open-source projects such as the CHAMELEON harmonisation system. His work bridges music theory, AI, and technology, with applications in mobile music tools and cognitive modeling. Research Interests : Computational Creativity through Machine Learning and Conceptual Blending Neural Networks in Music Generation and Analysis Evolutionary Computation for Musical Structures Human-Computer Interactive Systems for Improvisation Cognitive Models of Musical Perception Labs & Collaborations : Collaborating Researcher at Athena Research Centre Partnership with the Cognitive and Computational Musicology Group (Aristotle University) Development of open-source tools like CHAMELEON and GCT_py Grants & Projects : Not explicitly listed in provided texts, but his GitHub activity suggests ongoing research in AI music technologies.
Nancy Zlatintsi is a Postdoctoral Research Associate at the National Technical University of Athens (NTUA) in the Computational Vision and Signal Processing (CVSP) group at the School of Electrical and Computer Engineering. She earned her Diploma in Media Engineering from KTH Royal Institute of Technology (2006) and a Ph.D. in Audio and Multimedia Processing from NTUA (2013). Her research focuses on Music Information Retrieval (MIR) , audio signal processing , and multimodal interaction , with applications in human-robot interaction and movie summarization . Her work has been funded by the European Social Fund (Heracleitus II program) and she has contributed to European projects like iMuSciCA and e-Prevention . Her research spans multimodal saliency detection , audio event recognition , and computational models for emotion tracking . Key scientific contributions include publications in top venues such as IEEE ICASSP , CVPR , and EURASIP Journal on Image and Video Processing . She is also involved in assistive robotics and gerontechnology applications. Email: nzlat@cs.ntua.gr Office: 2.2.19, NTUA
Panagiotis Filntisis is a PostDoctoral researcher at the National Technical University of Athens , supervised by Prof. Petros Maragos. His work focuses on computer vision and audio processing for affective computing , particularly in areas like body emotion recognition, visual emotion translation, and 3D facial expression reconstruction. Key research projects include: TeachBot : Exploring educational robotics e-Prevention : Developing emotion recognition systems BabyRobot : Investigating multi-party interaction iMuSciCA : Applying multimodal perception in music education He has published extensively on multimodal fusion techniques in child-robot interaction, with recent work appearing in IEEE Robotics and Automation Letters and ICASSP. Contact: filby@central.ntua.gr
Karabetsos Sotirios is an Assistant Professor at the University of Ancient Eleonas, affiliated with the Master's Program in Audio, Video and Broadcast Technologies. His contact information includes the email sotoskar@uniwa.gr and an office located on the ground floor of Building A. He is involved in teaching courses such as Studio and Broadcast Technology (AVB.2.7) and Image and Video Processing (AVB.1.4). Research interests focus on advanced audio/video technologies, including signal processing, multimedia systems, and broadcast infrastructure. His work contributes to the development of innovative solutions in electronic media and telecommunications. Laboratory facilities include contact numbers: Office Tel: +30-210-210538-5383 and Fax: +30-210-538-5304. No specific scientific awards or grants are listed in the provided information. He is part of the academic team managing postgraduate program operations, alongside Program Director Potirakis Stylianos.
Antigoni Tsiami is a Postdoctoral Research Associate at the National Technical University of Athens (NTUA), affiliated with the School of Electrical and Computer Engineering (ECE) and the CVSP Group. She has been a PhD student since 2013, focusing on audio and speech processing applications. Her work spans robotics, signal processing, and assistive technologies. Education: Diploma in Electrical and Computer Engineering from NTUA (2012) PhD candidate in the CVSP Group, ECE School, NTUA under Prof. Petros Maragos Research interests: Multichannel speech enhancement and acoustic source localization Audiovisual scene perception for human-robot interaction Far-field processing techniques MEMS microphone applications Multimodal perception systems for assistive robotics Home automation control via spoken commands Her research projects include BabyRobot and COGNIMUSE , exploring multimodal signal processing in cognitive robotics and human interaction scenarios. Recent publications demonstrate focus on integrating sensory data for practical robotics applications, emphasizing robustness in real-world environments. She collaborates with interdisciplinary teams including the CVSP Group and EU-funded initiatives. Advising/Grants: While no advisees are listed, her current postdoctoral role suggests ongoing research collaborations. She participates in grant-funded projects such as BabyRobot and COGNIMUSE. Labs/Teams: Active member of the CVSP Group and contributed to the IROS 2015 workshop on Cognitive Mobility Assistance Robots. Engaged with multidisciplinary teams in EU robotics initiatives.
Dr. Rodoula Makri serves as a Senior Researcher at the Research University Institute of Communications and Computer Systems (RICC-NTUA) of the National Technical University of Athens, based at the Microwave and Fiber Optics Laboratory (MICOL) since 2000. Promoted to the highest research rank (Researcher A') in 2015, she concurrently holds a Lecturer position at the Military Academy of Evelpidon's Department of Mathematics and Engineering Sciences since 2008, teaching electronics and telecommunications. Her academic credentials include: Diploma in Electrical Engineering (1992, NTUA) PhD in Microwaves and Wireless Telecommunications (1999, NTUA) Master of Business Administration (2001, Athens University of Economics and Business/NTUA) Dr. Makri's research spans microwave engineering , millimeter-wave systems , and critical infrastructure security , with expertise in RF circuit design, antenna systems, and electromagnetic modeling. Recent work integrates AI-driven security frameworks and resilience assessment methodologies for telecommunications networks, reflecting strategic adaptation to emerging threats in 5G and critical infrastructure domains. Her dual technical-business background enables unique cross-disciplinary approaches to complex engineering challenges. Analysis of her 15 most recent publications reveals a decisive pivot from pure microwave engineering (evident in 2018's CMOS mixer design) toward security applications, with 9 of 15 papers (2019-2023) addressing drone detection, 5G vulnerabilities, and resilience frameworks like RESISTO. This evolution aligns with European Commission priorities, particularly Horizon 2020 security initiatives, while maintaining core microwave expertise for defense applications like K-band radar systems. Dr. Makri has secured substantial research funding through 30+ competitive projects, including: European Commission Programs : Horizon 2020, FP7 (serving as Principal Investigator and Technical Manager) Greek NSRF Projects : General Secretariat for Research and Technology initiatives Flagship Projects : RESISTO (telecom security architecture), TARGET Mobility (wireless systems), Rural Wings (satellite e-learning) Her work operates within NTUA's Microwave and Fiber Optics Laboratory (MICOL), featuring advanced RF measurement capabilities including anechoic chamber testing and field deployment systems. Current collaborations focus on EU-funded consortia developing integrated cyber-physical protection for critical infrastructure operators.
Professor Georgios Kouroupetroglou is a leading academic at the National and Kapodistrian University of Athens (NKUA), serving as Professor in the Department of Informatics and Telecommunications. He holds significant roles including President of the Association for the Advancement of Assistive Technology in Europe (AAATE) and membership in the European Academy of Sciences and Arts. His research focuses on digital accessibility, voice processing, assistive technologies for disabilities, and music computing. He has pioneered initiatives such as the 'Accessibility Unit' and the Speech and Accessibility Research Laboratory at NKUA. Education: B.Sc. in Physics and Ph.D. in Communications and Signal Processing. He has held administrative roles including Chairman of the Department of Informatics and Telecommunications, Director of Postgraduate Studies, and Director of the M.Sc. Programme in 'Language Technology'. Research interests span: Computer Accessibility & Voice User Interfaces Accessibility of Documents and Mathematics Music Computing and Ancient Instruments Gesture-Based UIs and Haptics Inclusive Education Technologies Publications highlight innovations in: Assistive tech for mobility and motor disabilities Audio-tactile interfaces for blind users Accessibility in higher education Acoustic modeling of historical instruments He has authored over 180 papers and books, reviewed numerous EU projects, and teaches courses on accessibility, signal processing, and assistive tech. His work bridges clinical science and technology, emphasizing sustainability and global inclusivity.
Panagiotis Zervas serves as an Associate Professor in the Department of Electrical and Computer Engineering at the University of Peloponnese since June 4, 2020. His academic career includes prior appointments as Assistant Professor at the Department of Music Technology and Acoustics, Hellenic Mediterranean University (2015–2020) and Technological Educational Institute of Crete (2015–2019), and as Lecturer at the same department of the Technological Educational Institute of Crete (2008–2015). His research spans Natural Language Processing applications for text analysis , Large Language Models for structured data extraction , audio signal processing , and music information retrieval using machine learning . He specializes in developing AI-driven systems for knowledge mining from multimodal information, with applications in social protection and intelligent audio systems. His work integrates Retrieval-Augmented Generation techniques and focuses on embedded systems for IoT audio applications. Zervas leads major European research initiatives including EU-ALMPO (2025–), Train4Blue (2025–), GROWTH4BLUE (2024–), and MICROIDEA (2024–) as Principal Investigator or Deputy Scientific Director. Since 2023, he collaborates with the World Bank as a Short-Term Consultant, first implementing Greece's National Skills Framework with AI-based skill profiling (2022–2024), and currently developing an AI-driven job matching portal for the Pacific Islands Network for Employment. His teaching portfolio includes Signals & Systems, Digital Signal Processing, Statistical Processing & Learning, Audio & Music Technology, Machine Learning, and Educational Technology. He completed his PhD in 2007 at the University of Patras' Department of Electrical Engineering on Greek language modeling for text-to-speech systems, and has published in journals like Acoustics and Mathematics while presenting at conferences including Web Audio Conference (WAC2022) and Forum Acusticum 2023.
