جست‌وجوی استاد و پژوهشگر

Dimitris Maroulisمشاهده پروفایل

استاد

• Data Acquisition
• Real-Time Systems
• Pattern Recognition
• +۶ مورد دیگر

Dimitris Maroulis is a Professor at the Department of Informatics and Telecommunications, University of Athens, leading the Real-Time Systems and Image Analysis Lab (RTS-image). With over 20 years of experience in data acquisition and real-time systems, and 15 years in image/signal analysis, he collaborates extensively with Greek and European hospitals in biomedical informatics. He has led 5 R&D projects and authored 150+ papers with 1400+ citations. University of Athens: Professor (2000–present) Meudon Observatory: Research Fellow (3 years) & Long-term Collaborator (10+ years) Research Interests focus on real-time systems , image/signal processing , and biomedical applications . Key areas include automated segmentation of proteomic images, noise removal methods, and stereo image coding. His 15 most recent publications (2003–2012) span 3D imaging , medical image analysis , and biomedical informatics , with sub-fields like autostereoscopic displays, wavelet-based coding, and computer-aided diagnosis. Awards : Best Paper Award (2012: Integral Image Analysis) Projects include European and national R&D initiatives in image analysis and real-time systems. Labs : RTS-image Lab develops methodologies for biomedical and proteomic applications.

Manolis Sangriotisمشاهده پروفایل

دانشیار

• Image Processing
• Computer Vision
• Stereo Image Coding
• +۴ مورد دیگر

Manolis Sangriotis is an Associate Professor at the National and Kapodistrian University of Athens, affiliated with the Department of Informatics and Telecommunications. His academic journey began with a B.Sc. in Physics (1970), followed by M.Sc. degrees in Electronics and Radioelectrology (1973) and Electronic Automation (1975), culminating in a Ph.D. in Informatics and Telecommunications (1980) from the University of Athens. His research focuses on image processing , computer vision , and 3D imaging , with emphasis on stereo image coding, integral photography, and real-time compression architectures. He explores applications in medical imaging, autostereoscopic displays, and multimedia systems, leveraging wavelet transforms, morphological operations, and statistical clustering. Recent publications (2012–2004) reveal a strong trend toward integral imaging innovations , including rectification frameworks, watermarking, and 3D-DCT compression. His work consistently addresses challenges in multiview data representation, disparity estimation, and photorealistic rendering, bridging computer vision with optical engineering. Scientific Awards: Best Paper Award at IEEE 8th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (2012) He actively advises PhD students, including Eirini Kostopoulou, Tzanoukos Georgios, and Papageorgiou Louis. His research group collaborates on projects related to real-time systems and image datasets, often supported by institutional grants. As part of the RTSImage laboratory, he contributes to developing computational tools for image analysis and compression, with applications spanning medical diagnostics and 3D display technologies. Future directions include advancing omnidirectional imaging and robustness in automated biomedical assessments.

Mitianoudis Nikolaosمشاهده پروفایل

استاد

• Machine Learning
• Statistical Signal Processing
• Audio Source Separation
• +۶ مورد دیگر

Mitianoudis Nikolaos serves as a Professor in the Department of Electronics and Information Systems Technology at Democritus University of Thrace, where he leads research in audio and video processing within the Electrical Circuits, Signal and Image Processing Laboratory. His work bridges statistical signal processing with modern machine learning techniques for real-world applications. Education: Diploma in Electrical and Computer Engineering, Aristotle University of Thessaloniki (1998) MSc in Communications and Signal Processing, Imperial College London (2000) PhD in Audio Source Separation, Queen Mary University of London (2004) His research spans Machine Learning , Statistical Signal Processing , and Deep Learning with specialized focus on audio source separation, image fusion, and machine hearing/vision systems. Current projects include environmental sensing with backscatter radio networks (BLASE), 3D structure estimation (F3SME), and cultural heritage digitization (TEXTaiLES), demonstrating interdisciplinary applications from healthcare to cultural preservation. Analysis of his recent publications (2019-2024) reveals a decisive shift toward neural network architectures, particularly transformer models and multi-resolution U-Nets, applied to audio separation and image processing challenges. His work consistently addresses noise robustness in real-world scenarios while advancing theoretical frameworks for underdetermined systems. As Principal Investigator for the F3SME project and Scientific Associate on multiple EU-funded initiatives, he has secured significant research funding. His teaching portfolio includes core undergraduate courses in Electrical Circuits II and Digital Signal Processing, plus graduate-level Signal and Image Coding. The Electrical Circuits, Signal and Image Processing Laboratory serves as his primary research base, focusing on practical implementations of theoretical signal processing concepts through collaborations with Imperial College London and industry partners like General Dynamics UK.