جست‌وجوی استاد و پژوهشگر

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.

Argyris Kalogeratosمشاهده پروفایل

پژوهشگر

• Machine Learning
• Network Science
• Computational Social Systems
• +۲ مورد دیگر

Argyris Kalogeratos is a permanent senior researcher at the Centre Giovanni Borelli , École Normale Supérieure Paris-Saclay (ENS Paris-Saclay), Université Paris-Saclay, France, and a member of the Learning and Information Processing Systems (LIPS) research group. Previously, he was a research scientist at the Centre of Applied Mathematics, ENS Cachan, France (2013–2018). Research Focus: Machine Learning on Graphs Industrial Collaborations: SNCF, CEA, Michelin, RTE, EDF Research Chair: Industrial Data Analytics and Machine Learning (IDAML) His research interests span Machine Learning , Statistics , Network Science , Decision & Control , and Computational Social Systems . He leads the ML on Graphs research theme and participates in projects like the EDF Data Challenge and Île-de-France AI for Industry Challenge . Current PhD advisees include: Alejandro de la Concha Duarte (Statistical Machine Learning on Graphs) Gaëtan Serré (Global Optimization) Gwendal Debaussart (Graph Representation Learning) Eloi Campagne (Time-Series Forecasting for Energy Sector) Gaspard Abel (Machine Learning on Social Interaction Networks) Past funding includes the MORANE project (SNCF collaboration) and the SODATECH project (French government Big Data initiative). He coordinates the LIPS seminars and contributes to academic-industry synergies through projects like AIfluence and French-German Summer-schools .

• Digital Circuit Design
• Integrated Circuit Testing
• Hardware Design
• +۳ مورد دیگر

Xrysovalantis Kavousianos is a Professor at the Department of Computer Science & Engineering, University of Ioannina, Greece, affiliated with the School of Engineering. He holds a BSc (1996) and PhD (2000) in Computer Engineering from the University of Patras. His research focuses on digital circuit design, integrated circuit testing techniques, and fault-tolerant systems, with expertise in 3D-SoC testing, test access mechanisms, and low-power testing methodologies. Teaching responsibilities include courses such as Digital Design I (MYY305), Digital Design II (MYY406), and H3 - 3D Systems on Chip. His work emphasizes optimizing testing infrastructure for multi-Vdd, DVFS-based, and multi-core systems, addressing challenges in thermal-aware testing, defect coverage, and energy efficiency. Recent research highlights include time-division multiplexing for 3D-SoCs, X-filling techniques for unmodeled defects, and BIST frameworks for power switches. Publications (2013–2019) concentrate on testing optimization, statistical compression, and hardware reliability in complex systems. Collaborations involve advanced SoC architectures and reconfigurable power management solutions.

• Software Engineering
• Biomedical Engineering
• Telecommunications Regulation
• +۳ مورد دیگر

Emmanuel Giakoumakis serves as a Professor at Athens University of Economics and Business, with research spanning software engineering, biomedical applications, and telecommunications regulation. His academic foundation includes advanced electrical engineering credentials from the National Technical University of Athens. Diploma of Electrical Engineer, National Technical University of Athens (1981) Ph.D., Department of Electrical Engineering and Computer Engineering, National Technical University of Athens (1988) His research integrates technical and policy domains: specializing in object-oriented software design patterns and biomedical signal processing for diagnostic applications, while simultaneously addressing telecoms regulation through market analysis and broadband penetration frameworks. This unique cross-disciplinary approach bridges engineering rigor with socioeconomic impact. Publication trends reveal an evolving research trajectory from foundational biomedical signal processing (1988) to software engineering standards (1996), machine learning validation techniques (2000), distributed systems for web services (2007), and cutting-edge 4G network management (2008). His work consistently connects computer science innovations with real-world telecommunications infrastructure challenges. Giakoumakis maintains significant industry engagement through high-level governmental appointments, demonstrating applied impact beyond academia. His office is located in the Main Building, Antoniadoou Wing, 5th floor, with contactable via mgia@aueb.gr or +30 210 8203 183 during office hours.

Aris Moustakasمشاهده پروفایل

دانشیار

• Theoretical Physics
• Wireless Communications
• MIMO Systems
• +۲ مورد دیگر

Aris Moustakas is Associate Professor of Physics at the National and Kapodistrian University of Athens and Lead Researcher at Archimedes/Athena Research Center. His interdisciplinary research bridges theoretical physics and telecommunications engineering. Key areas include optimization of wireless communication systems, MIMO technologies, and applications of statistical mechanics to information theory. Recent publications focus on capacity optimization in 5G networks and machine learning model analysis.

• Analog Circuit Design
• RF Circuit Design
• mmWave Communication Systems
• +۴ مورد دیگر

Georgios Panagopoulos is an Assistant Professor at the School of Electrical and Computer Engineering (ECE) of the National Technical University of Athens (NTUA). He earned his Diploma in Computer and Communication Engineering from the University of Thessaly in 2006 (with honors) and his Ph.D. in Electrical and Computer Engineering from Purdue University in 2012, focusing on variability and reliability modeling of CMOS and SPIN-based devices. His research spans analog, RF, and mmWave circuit design for communication systems, with expertise in wireless front-end modules, device characterization, variability modeling, and spin-based devices for machine learning. Recent work includes III-V material components, buried power rail applications, and tunable transmission lines. Key Trends: Advanced semiconductor structures, reliability in sub-terahertz communication, and co-design for energy-efficient RF systems. He has received awards including the Bakalas Scholarship and Technical Chamber of Greece Award. At NTUA, he teaches courses on VLSI design, analog circuits, and digital systems.

Karystinos Georgiosمشاهده پروفایل

استاد

• Telecommunications theory and systems
• Coding theory
• Adaptive signal processing
• +۷ مورد دیگر

George N. Karystinos is a Professor at the School of Electrical and Computer Engineering , Technical University of Crete , where he has served since 2005. Since 2021, he also holds the position of Dean of the School. Previously, he was an Assistant Professor at Wright State University (2003–2005). Education: Ph.D. in Electrical Engineering, State University of New York at Buffalo , 2003 Diploma in Computer Engineering and Science, University of Patras , 1997 Additional studies in Piano, National Conservatory of Athens and State University of New York at Buffalo Research Interests: His research spans telecommunications theory and systems , coding theory , adaptive signal processing , wireless communications , MIMO systems , neural networks , and optimization with limited data . He is particularly known for contributions to L1-norm PCA , noncoherent detection , RFID systems , and code design for CDMA . Scientific Awards: IEEE Transactions on Neural Networks Outstanding Paper Award (2003) IEEE ICT Best Paper Award (2001) IEEE ISWCS Best Paper Award (2013) IEEE ICASSP Best Student Paper Award (2015) IEEE RFID-TA Second Best Student Paper Award (2011) IEEE MOCAST Best Student Paper Award (2018) Laboratory and Teaching: He leads research at the Telecommunications Laboratory and teaches courses such as Signals and Systems , Information and Code Theory , and Probability and Random Process Theory . Grants and Projects: While specific grant details are not listed, his extensive publication record and award history indicate active participation in funded research projects, particularly in wireless communications and signal processing.

Thomas Kamalakisمشاهده پروفایل

استاد

• Optical Wireless Communications
• Photonic Crystal Waveguides
• Visible Light Communications
• +۵ مورد دیگر

Thomas Kamalakis is a Professor at Harokopio University in Athens, Greece, specializing in optical communications and wireless networking technologies. His academic profile indicates a strong focus on cutting-edge research in photonic systems and telecommunications infrastructure. Dr. Kamalakis' research spans multiple domains within optical communications, with particular expertise in visible light communications, free space optics, photonic crystal waveguides, and IoT security applications. His work demonstrates a consistent trajectory toward integrating optical technologies with emerging computing paradigms including machine learning and neuromorphic systems. Recent publications show increasing attention to practical implementation challenges and economic considerations in telecommunications infrastructure. Analysis of his publication trends reveals a strategic evolution from fundamental optical waveguide research toward more applied systems integrating machine learning, security, and economic considerations. His scholarly output demonstrates strong technical depth in optical communications while increasingly addressing real-world implementation challenges across diverse contexts including satellite networks, railway communications, and pandemic response systems. Dr. Kamalakis maintains an active research program with consistent publication output across multiple high-impact venues in telecommunications and optical engineering. His recent work demonstrates growing interdisciplinary connections between optical communications, cybersecurity, and economic modeling. His professional activities include significant contributions to Greek telecommunications market analysis and emerging technologies for next-generation home and office networks. The breadth of his research suggests leadership in adapting optical communication technologies to address contemporary challenges in network infrastructure and security.

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.

• Database Information Management
• Big Data Management Systems
• Data Structures
• +۳ مورد دیگر

John Tsaknakis is an Associate Professor at the Department of Electrical and Computer Engineering, School of Engineering, University of Peloponnese. He holds a PhD in Computational Geometry and Multidimensional Data Structures from the University of Patras (2004), following a diploma in Computer Engineering and Informatics (1996). His research focuses on Information Management in Databases, Big Data Systems, Data Structures, and Knowledge Mining in Web-based contexts. Since 2004, he has contributed to numerous research and development projects, particularly in software systems and data management. His work spans theoretical advancements and practical applications, including AI-driven labor market analysis, energy demand forecasting, and interoperable social protection frameworks. Research interests include database optimization, computational geometry, and leveraging big data for societal challenges. His publications reflect a blend of technical innovation and real-world problem-solving, with recent work addressing pandemic impacts on employment and AI’s role in reducing gender disparities. He is accessible in Building K on Mondays and Tuesdays, 8:00–9:00 AM, though prior arrangement is recommended. Dr. Tsaknakis collaborates on international projects, such as World Bank initiatives in social protection systems, and maintains active involvement in academic administration and teaching. His contributions to the field are further highlighted through his curriculum vitae and ongoing engagement in the academic community.

Konstantina Nikitaمشاهده پروفایل

استاد

• Medical Imaging
• Biomedical Informatics
• Computational Bioelectromagnetism
• +۵ مورد دیگر

Konstantina Nikita is a Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), and holds a visiting professorship at the University of Southern California. She earned degrees in Electrical Engineering and Medicine from NTUA and the University of Athens. Her research focuses on biomedical informatics, medical imaging, computational bioelectromagnetism, and neuroinformatics. She directs the Mobile Radio Communications Lab and Biomedical Simulations and Imaging Technology Unit. Education: Diploma in Electrical Engineering (NTUA), PhD in Biomedical Engineering (NTUA), MD (University of Athens). Roles: Editor-in-Chief of IEEE Open Journal of Antennas and Propagation, Associate Editor of multiple journals, and member of international committees (ERC LS7, IEEE). Research Interests: Medical imaging, electromagnetic field applications in medicine, computational neuroscience, AI in healthcare. Her publications span over 250 journal articles, 350 conference papers, and several books. Notable awards include the Bodossakis Foundation Award and IEEE Fellow recognition. She coordinates EU-funded projects and has supervised 29 PhD theses. Her work bridges biomedical engineering, informatics, and clinical applications, emphasizing interdisciplinary collaboration and technology for healthcare innovation. Recent articles focus on AI-driven diagnostics (Alzheimer’s, cardiovascular disease), 5G/6G communication systems, and wearable health technologies. She advocates for ethical AI, interpretable models, and equitable healthcare solutions.

• Digital Signal Processing
• Image Processing
• Pattern Recognition
• +۴ مورد دیگر

Vassilios Anastasopoulos is a Professor in the Department of Electronics and Computers at the University of Patras' School of Sciences. He teaches undergraduate courses including Computer Programming II – Laboratory , Electromagnetism I , and Digital Signal Processing , along with postgraduate courses such as Intelligent Data Analysis - Pattern Recognition and Machine Vision – Learning . His academic responsibilities include both theoretical instruction and laboratory supervision. Research Focus: His work spans interdisciplinary areas at the intersection of electronics and computational methods, with emphasis on: Signal and image processing algorithms Machine vision systems and pattern recognition techniques Intelligent data analysis frameworks Statistical methods for digital information processing This aligns with his department's focus on applied computational electronics. Awards & Recognition: No scientific awards or honors are mentioned in available documentation. Academic Service: He maintains an open-door policy with availability throughout the day for student consultations, though no specific advising relationships or research teams are detailed.

• Machine Learning
• Pattern Recognition
• Speech Recognition
• +۳ مورد دیگر

Prof. Vassilis Digalakis is a Professor at the Technical University of Crete in the Department of Electronic and Computer Engineering, part of the School of Electrical and Computer Engineering. He holds a Ph.D. in Electrical and Systems Engineering from Boston University and has extensive experience in academia, industry, and public service. His roles include former Rector of the Technical University of Crete (2013-2017) and Deputy Minister of Education and Religious Affairs (2020-2021). Education: Ph.D. in Electrical and Systems Engineering, Boston University (1992) M.Sc. in Electrical Engineering, Northeastern University (1988) B.Sc. in Electrical Engineering, National Technical University of Athens (1986) Research Interests: Prof. Digalakis specializes in machine learning, speech recognition, pattern recognition, and dialog systems. His work emphasizes developing advanced algorithms for speech processing, multimodal interfaces, and adaptive systems. Notable contributions include innovations in linear dynamical models for speech synthesis and robust pronunciation evaluation techniques. Awards and Recognition: He has received two IEEE Signal Processing Society Best Paper Awards (1999, 2000) and holds five patents related to speech recognition technologies. His leadership roles include Director of the Telecommunications Systems Institute (2005–2013) and Chair of the ECE Department (2003–2005). Professional Activities: He served as President of the Hellenic Universities Rectors’ Synod (2015) and later as Chairman of the Standing Committee on Cultural and Educational Affairs. His work extends to industry collaborations, including founding contributions to Nuance Communications and Dialogos Speech Communications. Labs and Projects: Associated with the Information and Networks Laboratory at TUC, his research focuses on cutting-edge solutions in telecommunications and AI-driven speech technologies.

• Machine Learning
• Data Mining
• Evolutionary Computation
• +۴ مورد دیگر

Sotiropoulos Dionisios is an Assistant Professor at the Department of Informatics, University of Piraeus. His research focuses on bio-inspired computing and machine learning methodologies, with a specific emphasis on social media analysis. He has held postdoctoral positions at the Athens University of Economics and Business (Department of Management Science and Technology) and serves as a visiting researcher at the Norwich Business School, University of East Anglia. He is a member of the SocioMine research group. Education: PhD in Informatics (2011), University of Piraeus; BSc in Informatics (2003), University of Piraeus His research spans Machine Learning , Data Mining , Evolutionary Computation , Signal Processing , and Intelligent Software Systems . Recent work explores hybrid AI architectures combining knowledge graphs and large language models for cultural analytics, boundary-aware classification, and transparent financial modeling using genetic programming. His publications reveal trends in applying machine learning to social media analytics, healthcare diagnostics, cryptocurrency trading, and cultural domains like music and political speech. Key methodologies include LSTM networks , artificial immune systems , BERT models , and reinforcement learning . As part of the SocioMine research group , he develops user modeling techniques for personalized recommendation systems and investigates opinion formation dynamics in social networks.

Maria Rangoussiمشاهده پروفایل

استاد

• Digital Signal Processing
• Spectral Analysis
• Pattern Recognition
• +۶ مورد دیگر

Maria Rangoussi is a tenured Professor in the Department of Electrical and Electronics Engineering at the University of West Attica, where she directs the MSc by Research in Electrical and Electronics Engineering program. Previously, she served as Professor, Head of the Department, and Dean of the Faculty of Engineering at Piraeus University of Applied Sciences (1998–2018). Her academic journey includes a Diploma in Electrical Engineering from the National Technical University of Athens (1987), an MSc in Digital Signal Processing from the University of Virginia (1990), and a PhD in Digital Signal (Speech) Processing & Pattern Recognition from NTUA (1994). Her research spans Digital Signal Processing, Spectral Analysis, and Pattern Recognition, with applications in Speech/Audio, Environmental, and Biomedical Engineering. Current interests emphasize e-learning technologies, educational data mining, and learning analytics. She has authored/co-authored over 100 publications and two textbooks, focusing on interdisciplinary innovations in engineering education and signal processing. Her recent work explores virtual reality in engineering education, recommender systems for teachers, and green practices in vocational education. Notable contributions include the ESOUNDMAPS project for environmental monitoring via Wireless Acoustic Sensor Networks and the development of web-based platforms for active learning in physics labs. Rangoussi’s pedagogical innovations include blending e-learning with hands-on labs, early prediction of student performance through data mining, and the use of pedagogical agents for enhanced learning. Her research bridges engineering fundamentals with modern educational technologies, addressing both technical and pedagogical challenges in STEM education.