جست‌وجوی استاد و پژوهشگر

Panagiotis Kasnesisمشاهده پروفایل

پژوهشگر ارشد

• Machine Learning
• Deep Learning
• Semantic Web Technologies
• +۳ مورد دیگر

Panagiotis Kasnesis is a Senior Research Fellow at the Department of Electrical & Electronics Engineering, University of West Attica. He holds a Ph.D. in Computer Science from NTUA, alongside degrees in Chemical Engineering and Techno-Economic Systems. His research focuses on machine/deep learning, Semantic Web technologies, multiagent systems, and IoT, with over 20 publications in top journals and conferences. He is an NVIDIA DLI-certified instructor in Natural Language Processing and Computer Vision. Education: Ph.D. (Computer Science, NTUA), Diploma in Chemical Engineering (NTUA), M.Sc. in Techno-Economic Systems (NTUA) Research interests span health informatics, wearable devices, and sensor fusion, with projects in biomedical signal analysis and IoT applications. His work includes developing radar-based systems for health monitoring and AR/VR solutions for rehabilitation. He actively participates in EU-funded projects and promotes trustworthiness in social media through initiatives like EUNOMIA. Recent publications emphasize health tech innovations, such as stress detection via PPG signals, UWB radar-based human detection, and multimodal fusion for 3D pose estimation. His contributions also address cultural heritage preservation through VR and crowdsourcing. Grants and collaborations involve European R&D projects in IoT security, emergency response systems, and decentralized social media frameworks. He leads efforts in embodied AR for medical applications and energy-efficient neural networks.

Antigoni Tsiamiمشاهده پروفایل

پژوهشگر ارشد

• Multimodal Signal Processing
• Robotics
• Speech Enhancement
• +۷ مورد دیگر

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.

• Digital Signal Processing
• Image Processing
• Computer Vision
• +۲ مورد دیگر

Dimitrios Kosmopoulos serves as Professor in the Computer Engineering and Informatics Department at the University of Patras, Greece, with extensive experience across multiple academic institutions including National Technical University of Athens (NTUA), Rutgers University, and University of Texas at Arlington. His research bridges theoretical computer science with practical applications in accessibility, agriculture, and cultural heritage preservation. Education: B.Eng. in Electrical and Computer Engineering, National Technical University of Athens (1997) PhD in Electrical and Computer Engineering, National Technical University of Athens (2002) Professor Kosmopoulos' research integrates computer vision, machine learning, and signal processing to solve real-world problems. His primary focus areas include sign language recognition systems for museum accessibility, precision agriculture applications for crop monitoring and disease detection, and digital restoration of ancient scripts like Mycenaean Linear B. His methodological innovations frequently involve geometric analysis, time-series modeling, and multimodal data fusion techniques that advance both theoretical frameworks and practical implementations. Analysis of his recent publications (2023-2025) reveals three dominant research thrusts: accessibility technologies for deaf communities (particularly museum navigation systems), agricultural automation using computer vision (olive grading, tomato disease detection), and computational archaeology (Linear B tablet restoration). His work consistently employs cutting-edge approaches including geometric knowledge distillation, coupled learning architectures, and 3D motion analysis, demonstrating strong interdisciplinary connections between computer science, agriculture, and humanities. No scientific awards were documented in the provided source materials. While specific advising details and grant information were not explicitly stated, his leadership in projects like HealthSign (sign language healthcare systems) and MuseLearn (museum accessibility platforms) indicates substantial research funding and collaborative supervision activities spanning computer vision, robotics, and assistive technology domains. Professor Kosmopoulos operates within the Division of Hardware and Computer Architecture at the University of Patras, collaborating with the Computer Technology and Architecture Laboratory, VLSI Microelectronics Laboratory, Signals and Telecommunications Laboratory, and Computer Communications Networks Laboratory. His current research integrates these facilities to develop systems like the SignGuide project for museum tours and frameworks for early pest detection in greenhouse crops, emphasizing practical implementations of machine learning in constrained environments.

• Human-Computer Interaction
• Digital Accessibility
• Voice Processing
• +۷ مورد دیگر

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.

• Natural Language Processing
• Audio Signal Processing
• Music Information Retrieval
• +۴ مورد دیگر

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.

• Machine Learning
• Signal Processing
• Hidden Markov Models
• +۳ مورد دیگر

Aggelos Pikrakis is an Associate Professor in the Department of Informatics at the University of Piraeus, with research focus on Signal Processing with emphasis on Sound and Voice . He serves as an affiliate member of the Institute for Language and Speech Processing (ILSP). Specializes in machine learning algorithms for audio analysis Expertise in Hidden Markov Models and Bayesian architectures Supervises doctoral research in audio processing and machine learning His work spans music information retrieval, voice pathology classification, and mobility pattern analysis. With over 50 publications and 1150 citations (h-index=16), he has received best paper awards and first place in algorithm competitions . He has participated in research programs funded by GGET and European Union as part of research teams. Scientific Awards Best Paper Award First Place in Algorithm Competition Active on editorial boards (EURASIP Journal on Advances in Signal Processing since 2008) and conference committees, he contributes to advancing audio processing methodologies.

Efstathios Stiliarisمشاهده پروفایل

دانشیار مدعو

• Experimental Nuclear Physics
• Medical Imaging
• Artificial Intelligence and Machine Learning
• +۵ مورد دیگر

Efstathios Stiliaris is an Experimental Nuclear Physicist at the Department of Physics of the National & Kapodistrian University of Athens since 2016, where he also served as Acting Head of the Nuclear and Particle Physics Laboratory until 2022. He concurrently holds the position of Adjunct Associate Professor at The Cyprus Institute in Nicosia, Cyprus since 2013, leading the research group at the SPECT Laboratory (SPECT-Lab). His primary research focuses on experimental nuclear physics, medical imaging technologies, and hadronic physics, with a strong emphasis on developing advanced imaging modalities such as SPECT, Compton cameras, and AI-driven solutions for radiological diagnostics. His expertise spans radiation detection technologies, including gamma-camera systems, thermal tomography, and the development of dual-modality contrast agents for SPECT/MRI and PET/MRI applications. He has pioneered novel reconstruction algorithms like RISE and ComptonRec, addressing challenges in image quality enhancement and inverse problem solutions. His work bridges nuclear physics fundamentals with clinical applications, leveraging machine learning for therapeutic and diagnostic advancements. Key contributions include optimizing semi-pixelated scintillation crystals for planar imaging, exploring proton structure through pion photoproduction analyses, and advancing thermal tomography through physics-informed neural networks. His multidisciplinary approach integrates computational physics, material science, and biomedical engineering to address unresolved challenges in medical imaging instrumentation and radiation detection systems. Stiliaris has collaborated on projects involving the CMS Collaboration at CERN and contributed to experimental methodologies for thermal loss estimation in molten salt energy systems. His research group maintains active involvement in both fundamental physics and translational medical imaging technologies, emphasizing lab-to-clinic transitions through rigorous validation protocols and novel experimental setups.

Constantine Kotropoulosمشاهده پروفایل

استاد

• Digital Signal Processing
• Audio Processing
• Music Information Retrieval
• +۶ مورد دیگر

Constantine Kotropoulos is a Professor at the Department of Informatics, School of Informatics, Aristotle University of Thessaloniki. He holds a PhD (1993) and a Diploma in Electrical Engineering (1988), both from Aristotle University. His professional journey includes roles from Lecturer (1997) to current Professor (2015–present), with extensive postdoctoral and research experience in electrical and computer engineering fields. His research focuses on Digital Signal Processing , Audio/Music/Speech Processing , Pattern Recognition , and Human-Centered Multimodal Interaction . Recent work emphasizes forensic applications (e.g., source device identification), medical diagnostics (speech pathology classification), and explainable AI (face aging, camera model identification). Key research themes include electric network frequency analysis for audio authentication, multimodal fusion for media forensics, and optimization techniques for non-negative machine learning problems. His publications span signal processing, multimedia, and healthcare technology, with a focus on practical applications of advanced algorithms. He maintains active collaborations in interdisciplinary areas such as agricultural disease detection via hyperspectral imaging and route recommendation systems leveraging image-driven data. His work often bridges theoretical computer science with real-world challenges in security, healthcare, and environmental monitoring.

• Statistical Signal Processing
• Computational Finance
• Nonlinear Time Series Analysis
• +۷ مورد دیگر

George Tzagkarakis is a Researcher at the Foundation for Research and Technology-Hellas (FORTH) and affiliated with the Institute of Computer Science (ICS) and the Signal Processing Laboratory. With over 15 years of experience in Scientific Data Analysis and Computational Finance, his expertise includes multimodal data learning, distributed information processing, mathematical modeling, and risk analytics. He holds two PhDs—one in Computer Science (Statistical Signal Processing) from the University of Crete and one in Finance (Risk Quantification) from the University of Bordeaux—as well as a BSc in Mathematics from the University of Crete. Education: PhD in Computer Science (1st in class, highest honors), University of Crete, Greece PhD in Finance, University of Bordeaux, France BSc in Mathematics (1st in class, highest honors), University of Crete, Greece His research focuses on Statistical Signal Processing , Nonlinear Time Series Analysis , Non-Gaussian Heavy-Tailed Models , Compressive Sensing , Distributed Signal Processing for Smart Sensor Networks , and Machine Learning in Operations Research . His work bridges academic and industrial applications, particularly in remote imaging and quantitative financial analysis. George has been recognized with academic distinctions from the University of Crete, FORTH-ICS, and external state foundations. He has contributed to European and national R&D and R&I projects, demonstrating his ability to transfer research into practical solutions.

Kofidis Eleftheriosمشاهده پروفایل

دانشیار

• Signal Processing
• Machine Learning
• Digital Communications
• +۳ مورد دیگر

Kofidis Eleftherios is an Associate Professor at the Department of Statistics and Insurance Science, University of Piraeus, Greece. He holds a Ph.D. in Computer Engineering and Informatics from the University of Patras (1996) and a Dipl. Ing. from the same institution (1990). His research focuses on signal processing, machine learning, digital communications, and biomedical applications, with a particular emphasis on tensor decompositions, filter bank multicarrier (FBMC) systems, and MIMO communication. He has contributed to over 70 peer-reviewed publications, including books and technical reports. Teaching responsibilities include courses such as Numerical Analysis, Operations Research, and Topics in Data Science. His research interests span signal processing for communication systems, tensor-based algorithms for multidimensional data analysis, and applications in biomedical signal processing. He has collaborated extensively on projects such as the European FP7-ICT EMPhAtiC initiative, focusing on MIMO channel estimation and distributed systems. Key research trends in his publications include: (1) tensor decomposition techniques for channel estimation and data fusion, (2) development of semi-blind receivers for MIMO systems, (3) analysis of filter bank-based multicarrier modulation for 5G/6G applications, and (4) biomedical signal processing using higher-order tensor methods. His recent work addresses challenges in RIS-enabled wireless systems and federated learning frameworks. Education: Ph.D., Computer Engineering and Informatics, University of Patras, 1996 Dipl. Ing., Computer Engineering and Informatics, University of Patras, 1990 Key Research Grants/Projects: European FP7-ICT Project EMPhAtiC (MIMO channel estimation and distributed systems) National and EU-funded initiatives on tensor-based signal processing Awards: None explicitly listed in the provided texts. Labs/Teams: Active in University of Piraeus's research groups on statistical signal processing and communications. His work bridges theoretical advancements in tensor methods with practical applications in wireless communications and biomedical engineering, emphasizing solutions for next-generation communication systems and multidisciplinary data fusion challenges.

Andreas Menychtasمشاهده پروفایل

استادیار

• Internet of Things (IoT)
• Edge Computing
• eHealth
• +۵ مورد دیگر

Dr. Andreas Menychtas is an Assistant Professor at the Department of Digital Systems, School of Information Technology and Communications, University of Piraeus. He holds a Ph.D. in Electrical and Computer Engineering from the National Technical University of Athens (2009), specializing in distributed systems and cloud computing. His research focuses on IoT, Edge Computing, eHealth, and AI-driven healthcare solutions. Key research areas include: Medical IoT security (MedSecurance project) AI applications in telemedicine AR-enhanced healthcare systems Wearable sensor networks for patient monitoring He has published over 100 peer-reviewed works, with 2,318 citations. Current projects include: AI4Work: Human-centric digital twins for healthcare/education crowdHEALTH: Big data analytics for public health policies Teaching responsibilities include courses on: Object-Oriented Programming Cloud Computing Web/Mobile Information Systems Research collaborations span European/National projects in: Smart city infrastructure eHealth platforms Health informatics

Sotirios Karabetsosمشاهده پروفایل

مدرس

• Broadband telecommunications
• Telecommunication networks
• Software Defined Radio
• +۵ مورد دیگر

Sotirios Karabetsos serves as a Lecturer at the Department of Electrical and Electronic Engineering, University of West Attica, specializing in Voice Signal Processing Systems and Broadband Data Communications. His academic journey includes a PhD from the National Technical University of Athens (NTUA) and advanced studies at Brunel University, London. PhD, School of Electrical & Computer Engineering, NTUA (2004-2010) MSc in Data Communication Systems, Brunel University (2001-2003) Diploma in Electrical and Computer Engineering, NTUA (2000-2004) Electronic Engineering Degree, TEI of Athens (1995-1999) His research spans Broadband telecommunications , Software Defined Radio , Digital Signal Processing , and Machine Learning applications. His work focuses on innovative communication systems including wired, wireless, and optical networks, with particular emphasis on signal processing for voice and data transmission. Recent publications demonstrate expertise in Radio over Fiber technologies, multicore fiber applications, machine learning for transportation, and advanced speech synthesis techniques. His work bridges theoretical research with practical implementations in next-generation communication systems. As an educator, Dr. Karabetsos teaches undergraduate courses including Telecommunications, Wideband Transmission Technologies, and Digital Audio and Speech Technologies, along with postgraduate courses on 4G/5G Communication Systems and Software Defined Radio. His laboratory work spans Buildings A and Z at the Ancient Olive Grove Campus, where he conducts research in signal processing and communication systems. Office hours are held Mondays and Wednesdays from 14:00-15:00, with additional availability upon request.

Christos P. Tsekrekosمشاهده پروفایل

پژوهشگر ارشد

• Optical Communications
• Fiber Optics
• Radio-over-Fiber
• +۴ مورد دیگر

Christos P. Tsekrekos serves as a Research Fellow at the Photonics Technology Laboratory within the Department of Informatics and Telecommunications at the National and Kapodistrian University of Athens, a position he has held since November 2011. His research focuses on advancing optical communication systems through innovations in multimode fiber transmission, radio-over-fiber technologies, and passive optical networks. His educational foundation includes: Bachelor's degree in Electrical and Computer Engineering from the National Technical University of Athens (2003) Ph.D. in Optical Communications from Eindhoven University of Technology, Netherlands (2008) Dr. Tsekrekos' research spans Optical Communications , Fiber Optics , Radio-over-Fiber (RoF) , and Passive Optical Networks (PON) , with pioneering contributions to mode group diversity multiplexing (MGDM) and the invention of mode-selective spatial filtering (MSSF) . His work bridges theoretical innovation with experimental validation in multimode fiber systems and integrated optical-wireless architectures. Analysis of his 15 most recent publications reveals a concentrated focus on reconfigurable optical-wireless convergence (2009-2011), featuring experimental demonstrations of millimeter-wave RoF/baseband integration and bandwidth expansion techniques for PONs. Key methodological themes include wavelength interleaving, polarization multiplexing, and MSSF-based impairment mitigation across multimode fiber systems. His research has been supported by the Japan Society for the Promotion of Science (JSPS) Global Center of Excellence program and European FP7 projects. As an active contributor to the Photonics Technology Laboratory, he maintains technical leadership in experimental photonics while serving as a reviewer for IEEE and OSA journals.

• Computational Mathematics
• Numerical Analysis
• Interval Analysis
• +۶ مورد دیگر

Dimitris Sotiropoulos is an Assistant Professor at the Department of Electrical and Computer Engineering, University of Peloponnese, specializing in Engineering Mathematics . He holds a B.Sc. in Mathematics (1995) and a Ph.D. (2005) in Mathematical Programming and Numerical Analysis. Over 20 years of higher education teaching Author/co-author of 36+ scientific articles Supervised 20+ postgraduate theses Research Interests focus on computational mathematics, global optimization algorithms, and machine learning. Specific areas include interval analysis for automatic result verification, large-scale optimization, nonlinear equation solving, and artificial neural network training. His scientific work spans sustainability assessments for aerospace components, uncertainty quantification in composite materials, and stress modeling in human-computer interaction. Articles highlight applications of interval analysis to optimization problems and neural network training improvements via BFGS methods. Teaching roles include lectures at Ionian University's Department of Informatics and University of Peloponnese's Department of Computer Science and Technology. He also serves on Hellenic Open University's Supervisory Board since 2009, mentoring postgraduate students in computational mathematics.

Demetris P. Gerogiannisمشاهده پروفایل

پژوهشگر

• Computer Vision
• Image Processing
• Image Segmentation and Registration
• +۷ مورد دیگر

Demetris P. Gerogiannis is a researcher in the Department of Computer Science & Engineering at the University of Ioannina, Greece. His academic work focuses on Computer Vision and Image Processing, with specific expertise in image registration, pointset registration, and feature extraction. He has maintained a consistent publication record from 2007 through 2020, primarily collaborating with Christophoros Nikou and A. Likas. Gerogiannis' research interests span multiple areas within Computer Vision including Image Segmentation and Registration, Pointset Registration, Feature Extraction, Object Detection and Recognition, Pattern Recognition, Automatic Image Annotation, and Machine Learning applications. His work demonstrates a consistent focus on developing robust algorithms for geometric problems in vision, with particular attention to handling noise and outliers in visual data. He has made significant contributions to point set registration, shape representation, and vanishing point detection. His publication history reveals a strong trend toward developing mathematically rigorous approaches to Computer Vision problems, particularly utilizing statistical models like Student's t-distributions for robust registration. His work bridges theoretical computer vision with practical applications, including consumer-facing technologies like QR code systems. The 15 most recent publications show progression from foundational work in image registration to more applied research in texture analysis, word spotting, and biomedical applications. Gerogiannis is also an active entrepreneur, currently coordinating QReca!, a startup focused on consumer engagement through QR codes and NFC technology. He has previously worked on a Video On Demand startup and is developing a spin-off to commercialize his Computer Vision research through an API framework. He maintains a commitment to open academic knowledge by providing Matlab code for non-commercial use related to his publications. He has volunteered for the Athens 2004 Olympic Games and maintains a passion for Mathematics, particularly Number Theory and Euclidean Geometry. His academic profile suggests a researcher who bridges theoretical computer vision with practical applications and entrepreneurial ventures.