جست‌وجوی استاد و پژوهشگر

Serdar ARSLANمشاهده پروفایل

مدرس

• Database Management Systems
• Data Structures and Algorithms
• Machine Learning
• +۳ مورد دیگر

Dr. Serdar Arslan is a Lecturer at the Department of Computer Engineering at Cankaya University. He holds a PhD in Computer Engineering from Middle East Technical University (METU), with a thesis on multidimensional data indexing. His academic background includes a Master's (2005) and Bachelor's (2001) in Computer Engineering from METU and Hacettepe University, respectively. His research focuses on database systems, machine learning, multimedia data indexing, and forecasting models. Education: Bachelor of Engineering, Computer Engineering, Hacettepe University (2001) Master of Science, Computer Engineering, METU (2005) Doctor of Philosophy, Computer Engineering, METU (2018) Research Interests: Machine Learning applications in healthcare forecasting and financial markets Advanced indexing techniques for multimedia databases (e.g., MM-FOOD structure) Natural language processing for stance detection in political discourse Hybrid forecasting models combining LSTM and Prophet algorithms Domain-specific NLP for product name extraction in Turkish text Publications: His recent work emphasizes machine learning-driven solutions for complex systems, including pandemic modeling, cryptocurrency analysis, and conflict discourse analysis. His earlier contributions focused on multimedia indexing and image retrieval systems using MPEG-7 standards. The 2025 paper on OSINT architecture frameworks highlights his expanding focus on cybersecurity and system design. Labs/Teams: While no specific lab is mentioned, his GitHub repositories (e.g., Forecasting, NLP projects) suggest active involvement in collaborative research projects related to his domains.

• Digital Rights Management
• Multimedia Content Management
• Healthcare Information Systems
• +۶ مورد دیگر

Jaime Delgado is a prominent researcher with over three decades of contributions to digital rights management, healthcare information systems, and security and privacy in eHealth. With an extensive publication record spanning from 1994 to 2025, Delgado has established themselves as a leading expert at the intersection of computer science and healthcare, developing practical frameworks that enhance security, privacy, and interoperability in medical systems. Delgado's research spans multiple critical domains: Digital Rights Management and Multimedia Content Security Healthcare Information Systems and eHealth Applications Security and Privacy in Medical Data Management Ontologies and Semantic Web Technologies for Healthcare Genomic Information Systems and FAIR Data Principles Trustworthy Media Systems and Provenance Tracking Analysis of recent publications (2021-2025) reveals a strategic shift toward healthcare applications, particularly focusing on security requirements for Internet of Medical Things (IoMT), privacy-enhancing techniques for medical data, and genomic information systems. Delgado's work demonstrates consistent development of practical architectures addressing real-world security challenges in healthcare settings, with increasing collaboration with medical professionals and participation in European health informatics initiatives like the MedSecurance Project. Delgado has received recognition for contributions to standardization efforts, particularly in developing frameworks for media trustworthiness and international standards for assessing trust in digital media. Their work on the JPEG Privacy and Security framework has significantly influenced industry practices. Through extensive collaboration with researchers like Silvia Llorente (43 joint publications), Eva Rodríguez (29 publications), and Rubén Tous (26 publications), Delgado has built a strong research network across European institutions. Their work consistently combines theoretical framework development with practical implementation considerations, addressing the critical balance between security requirements and clinical workflow usability. Delgado's laboratory work centers on developing secure frameworks for medical data management, with recent emphasis on genomic information systems, provenance tracking in eHealth, and security requirements for medical IoT devices. Their research group actively participates in European health informatics initiatives and contributes to international standards development, maintaining exceptional productivity with 4-7 publications annually in recent years.

Marios C. Angelidesمشاهده پروفایل

استاد

• Multimedia Systems
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Marios C. Angelides is a prominent academic specializing in multimedia systems, artificial intelligence, and collaborative technologies. His work focuses on integrating machine learning, IoT, and game theory into applications such as autonomous systems, disaster response, and personalized gaming. He has authored over 90 publications, including influential papers on MPEG standards and AI-driven UAV coordination. His research bridges theoretical frameworks with practical implementations in telecommunications, emergency communications, and educational technologies. Angelides collaborates extensively with researchers like Faris A. Almalki and Harry W. Agius, advancing interdisciplinary solutions in intelligent tutoring systems and adaptive multimedia.

Geoffroy Peetersمشاهده پروفایل

استاد

• Audio Signal Processing
• Machine Learning
• Deep Learning
• +۴ مورد دیگر

Geoffroy Peeters is a Full Professor at Télécom Paris since 2018, affiliated with the Signal, Statistics and Learning (S2A) team within the Image, Data, Signal (IDS) department of the Laboratoire Traitement et Communication de l'Information (LTCI) . He received his PhD (2001) and Habilitation (2013) in audio signal processing from University Paris-VI . Education : PhD in Computer Science (2001), HDR (2013) from University Paris VI; Master in electronic engineering (1995) from Polytechnique Louvain-la-Neuve His research focuses on signal processing and machine learning (including deep learning) applied to audio and music data analysis , covering areas such as: Timbre description and audio feature extraction Singing voice detection and source separation Beat/downbeat/tempo estimation Chord/key/multi-pitch estimation Music structure/summary analysis Audio identification and auto-tagging Corpus creation and evaluation methodologies With over 200 publications and several patents, his work contributed to the ISO MPEG-7 audio standard . He has held leadership roles in academic conferences including: Co-general-chair: DAFx-2011, ISMIR-2018 Co-program-chair: ISMIR-2019 ISMIR Board member (2016-2017, 2018-2019) Elected ISMIR President (2022-2023) IEEE Task Force on Computational Audio Processing His teaching focuses on signal processing , deep learning , and music information retrieval through various projects and workshops.

Harry Agiusمشاهده پروفایل

مدرس ارشد

• Digital Media
• Digital Games
• Creative Computing
• +۵ مورد دیگر

Dr. Harry Agius is a Senior Lecturer in Computing at Brunel University, affiliated with the Creative Computing Research Group and Institute of Digital Futures under the College of Engineering, Design and Physical Sciences. His expertise spans digital media, games, and creative computing, with a focus on AI-driven personalization and immersive experiences. Research interests include user-centered artificial intelligence , graphical asset generation , MPEG-7 metadata , and collaborative gaming . His work bridges AI, digital media, and human-computer interaction, with recent articles examining intelligent game asset frameworks and evaluation metrics for AI-generated content. Teaching areas encompass digital experiences , emerging technologies , and responsive web development . He serves as Section Editor for Track 4 (Digital Games, VR/AR) in Multimedia Tools and Applications and co-edited the Handbook of Digital Games (IEEE/Wiley, 2014). His lab affiliations include the Creative Computing Research Group and Institute of Digital Futures , and he collaborates with researchers like Dr. Damon Daylamani-Zad and Prof. Marios Angelides.

José Manuel Torresمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Multimedia Systems
• Computer Science
• +۴ مورد دیگر

José Manuel Torres is an Associate Professor at the Faculty of Science and Technology of Fernando Pessoa University , where he has been teaching since at least 1997. He holds a PhD in Computer Science from Lancaster University (2005) and a MSc in Electrical and Computer Engineering (1997). His research focuses on Visual Information Retrieval , Multimedia Systems , and Database Modeling . PhD Thesis: "Visual Information Retrieval through Interactive Multimedia Queries" (Lancaster University, 2005) Current Research: Investigator at ISUS and LIACC research centers Email: jtorres@ufp.edu.pt Research interests span multiple domains including: Artificial Intelligence applications in multimedia Multimodal Interfaces for information retrieval Object-Oriented Database Systems modeling Computational Semiotics in digital systems MPEG-7 Standard contributions for multimedia description Visual Query Systems with region-based feedback His scholarly work shows trends in: Interactive multimedia query systems Electromagnetic teaching methodologies Database architecture comparisons Information preservation standards Adaptive interface design Visual search algorithms Teaching portfolio includes: PhD-level Artificial Intelligence courses Undergraduate Algorithms and Data Structures sequences Master's Computer Vision instruction Comprehensive Electromagnetism course development

B.S. Manjunathمشاهده پروفایل

استاد

• Image/Video Analysis
• Multimedia Databases
• Steganography
• +۳ مورد دیگر

B.S. Manjunath is a Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Barbara (UCSB). He serves as Director of the Center for Multimodal Big Data Science and Healthcare and the Center for Bio-image Informatics. His research focuses on image/video analysis, multimedia databases, steganography, and bio-informatics. Manjunath holds a Ph.D. from the University of Southern California (1991), M.E. from Indian Institute of Science (1987), and B.E. from Bangalore University (1985). He is an IEEE Fellow and ACM Fellow. Education: Ph.D. (1991), Signal & Image Processing Institute, EE-Systems, USC M.E. (1987), Systems Science and Automation, Indian Institute of Science B.E. (1985), Electronics Engineering, Bangalore University Research Interests: Image/video analysis (segmentation, registration, texture analysis) Multimedia databases and data mining Steganography and digital forensics Signal/image processing for bio-informatics His work includes developing the BisQue open-source platform for image informatics and leading NSF-funded initiatives in bio-image informatics and interactive multimedia. Key Contributions: Over 300 peer-reviewed publications 24 patented technologies Co-editor of the ISO/MPEG-7 multimedia standard Founder faculty of the Media Arts and Technology Program Awards and Affiliations: IEEE Fellow (2025) and ACM Fellow (2025) Affiliated with UCSB’s Computer Science Department and Dynamical Neuroscience Program Former Director of the NSF-sponsored Interactive Digital Multimedia IGERT program Labs and Platforms: Director of the Vision Research Lab Lead developer of the BisQue image informatics system Pioneering work in multimodal camera networks and healthcare analytics

• Multimedia Information Systems
• Database Technologies
• Office Automation
• +۲ مورد دیگر

Kazasis Fotis is a Researcher at the Technical University of Crete , affiliated with the School of Electronic & Computer Engineering and the Department of Electronics and Computer Engineering . He has been a member of the Academic Council since October 2020 and contributes to the Distributed Information Systems and Applications Laboratory (MUSIC) . Education : Masters in Computer Engineering (2011, Technical University of Crete), Diploma in Computer Engineering and Informatics (1990, University of Patras) His research interests include Multimedia Information Systems , Database Technologies , Office Automation , and Information Retrieval Systems , with a focus on Informatics and distributed systems. His publications (1995–2011) highlight work on service-oriented architectures (e.g., TV-Anytime metadata handling), mobile computing (TV-Anytime information management), ontologies (semantic indexing for multimedia), and peer-to-peer/SOA infrastructures for knowledge management. Recent articles (2011) address event visualization on Google Earth, while earlier works (2003–2007) tackle semantic query languages and intelligent tourism applications. He has coordinated research programs funded by the European Union and Greece since 1990, emphasizing practical implementations in digital ecosystems and TV services. His teaching includes Introduction to Computers and Informatics and Databases at TUC.

Evgenia Dimitrova Velikovaمشاهده پروفایل

دانشیار

• Coding Theory
• Algebra
• Information Theory
• +۳ مورد دیگر

Dr. Evgenia Dimitrova Velikova is an Associate Professor in the Algebra Department at the Faculty of Mathematics and Informatics, Sofia University "St. Kliment Ohridski". Her academic career spans several decades with significant contributions to both theoretical mathematics and educational research. Her research interests focus primarily on coding theory, particularly covering radius of linear codes, cyclic codes, and weight distributions. She has also made notable contributions to the field of educational assessment within mathematics education, analyzing student admissions processes and examination systems at her institution. Her work bridges theoretical mathematics with practical applications in both information theory and educational systems. Analysis of Dr. Velikova's publication history reveals a strong trajectory in coding theory research from the 1980s through the 2000s, with a notable shift toward educational research and interdisciplinary applications in digital humanities during the 2010s. Her later work demonstrates expertise in applying mathematical concepts to art image analysis and metadata extraction, showing versatility across multiple domains while maintaining her core mathematical foundation. Dr. Velikova has collaborated extensively with researchers including Ts. Baicheva, A. Bojilov, K. Ivanova, and P. Stanchev. Her work on covering radii of linear codes has been cited in numerous publications, including significant references in "Covering codes" by Cohen, Honkala, Litsyn, and Lobstein (1997), indicating substantial impact in her field. Her research has appeared in prestigious journals such as IEEE Transactions on Information Theory and SERDICA Journal of Computing. As an educator at Sofia University's Faculty of Mathematics and Informatics, Dr. Velikova has contributed significantly to curriculum development and educational assessment. Her office is located in room FMI-518, with office hours on Mondays from 13 to 15 at room 208 and Tuesdays from 13 to 14 at room 518, demonstrating her active engagement with students and academic community.

Covadonga Rodrigo San Juanمشاهده پروفایل

دانشیار

• Digital Innovation
• Inclusive Learning
• Experiential Learning
• +۵ مورد دیگر

Covadonga Rodrigo San Juan is an Associate Professor in the Department of Languages and Computer Systems at Universidad Nacional de Educación a Distancia (UNED), Spain's National University of Distance Education. She serves as Co-director of the DineLLL (Digital Innovation for iNclusive and Experiential Life Long Learning) research group, leading interdisciplinary work that bridges computer science, psychology, art, and economics. Dr. Rodrigo's research focuses on digital innovation for inclusive education , with particular emphasis on life-long learning technologies, digital accessibility, and the application of emerging technologies to educational contexts. Her work spans digital humanities, accessibility solutions for diverse learners, and the development of innovative educational platforms including the AVIP system for synchronous remote learning and virtual laboratories for scientific education. Her publication record demonstrates consistent contributions to educational technology since 1999, with recent work (2020) on accessible museums using mixed reality and gamification in the MUSACCES project. Her research shows a clear trajectory from technical telecommunications engineering toward interdisciplinary educational innovation, reflecting her stated concern for human wellbeing and bias in AI-based technologies. Dr. Rodrigo has contributed significantly to UNED's adaptation to the European Higher Education Area, developing tools and methodologies that support blended learning approaches while maintaining the university's distance education mission. Her work addresses technological, content, and pedagogical accessibility dimensions to promote equal participation in educational experiences.