جست‌وجوی استاد و پژوهشگر

• Information Systems
• Databases
• e-Business
• +۱۴ مورد دیگر

Spyros Syrmakesis is a Professor at the Department of Electrical and Computer Engineering, University of Peloponnese (Patras). He directs the E-Entrepreneurship and Interaction Design Laboratory and participates in StartUp Europe initiatives, focusing on research, innovation, and IT development. Director, E-Entrepreneurship and Interaction Design Laboratory Member, StartUp Europe Research Areas: IT Innovation, Social Web, Start-Up Ecosystems Research Interests : Information Systems, Databases, e-Government, Human-Computer Interaction, Data Mining, Personalized Services, and STEAM Education. His work bridges entrepreneurship with technology, emphasizing start-up creation and adaptive design. Recent Article Trends : Focus on STEAM education (2024), Blue Economy skill development (2024), PBL pedagogy (2024), and assistive technologies for aging populations (2018–2019). Earlier work (2002–2018) explores web personalization, e-commerce, and educational technology frameworks. Labs & Projects : Leads the E-Entrepreneurship and Interaction Design Laboratory. Involved in initiatives like the TRACCE project (2021) for cultural route personalization and RADIO (2019) for robotic assisted living.

Joseph Stephensمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Auditory Perception
• Visual Perception
• +۴ مورد دیگر

Joseph 'Beau' Stephens is a Professor in the School of Psychology at Xavier University. He holds a Ph.D. in Psychology from Carnegie Mellon University where he trained at the Center for the Neural Basis of Cognition, and a B.A. in Germanic Studies from Indiana University. Previously, he served for 16 years as faculty at North Carolina A&T State University. Dr. Stephens' research examines cognitive and neural mechanisms underlying auditory/visual perception, speech/language processing, memory systems, decision-making, and cognitive aging. His collaborative work has been funded by the National Institutes of Health, National Science Foundation, and Air Force Research Laboratory. His recent publications demonstrate a strong interdisciplinary focus spanning cybersecurity behavior (2024-2025), memory mechanisms (2013-2021), auditory processing disorders (2020), and cognitive aging (2013-2018). This reflects a consistent integration of experimental psychology with neuroscience and applied human factors research. He directs the Neuro-mechanX Lab and maintains active collaborations across institutions. Current funding sources include federal grants supporting his investigations into sensory processing, learning mechanisms, and age-related cognitive changes.

• Music Information Retrieval
• Digital Musicology
• Computational Music Similarity
• +۳ مورد دیگر

Daniel Wolff is a researcher affiliated with City University London , specializing in computational music similarity modeling and big data applications in musicology. His work bridges machine learning, audio signal processing, and music theory to analyze large-scale music collections. Doctoral thesis (2014): Spot the Odd Song Out: Similarity Model Adaptation and Analysis using Relative Human Ratings Key research focus: Adaptive similarity metrics, chord progression mining, and dataset automation Active in conferences like ISMIR, ACM Digital Libraries, and Interdisciplinary Musicology workshops Research Trends: His publications emphasize: Big data infrastructure for musicological research Machine learning techniques for audio feature extraction Interactive visualization of harmonic patterns User-driven similarity modeling via comparative ratings Technical Contributions: Developed uncertainty sampling methods for dataset curation, parallel computing approaches for chord analysis, and reproducible frameworks for music similarity evaluation.

Carlos Lopezosa Garcíaمشاهده پروفایل

دانشیار

• Digital Journalism
• Search Engine Optimization
• Web Visibility
• +۵ مورد دیگر

Carlos Lopezosa García is an Associate Professor at the Communication Department of Pompeu Fabra University in Barcelona, Spain. He is an active researcher in the DigiDoc Group, focusing on digital communication and web visibility. His academic journey includes a Degree in Journalism from CEU Cardenal Herrera, a Master in Journalism and Dissemination from Complutense University of Madrid, and a Doctorate in Communication from Pompeu Fabra University. His research interests center around digital journalism, web visibility and cybermedia, new journalistic formats, SEO, YouTube optimization, and the intersection of artificial intelligence with media practices. Lopezosa has developed expertise in Search Experience Optimization (SXO), which combines SEO with user experience considerations to improve content visibility. His research output shows a clear evolution from traditional SEO studies toward the integration of AI in journalism and communication research. The most recent publications demonstrate his growing focus on AI applications in media, including the use of ChatGPT for qualitative research, analysis of AI-generated content, and the impact of generative AI on information ecosystems. His work bridges technical SEO expertise with critical analysis of media practices in the digital age. Project "Narración interactiva y visibilidad digital en el documental interactivo y periodismo estructurado" (RTI2018-095714-B-C21) funded by the Ministry of Economy and Competitiveness Project "MIRONINS – Redesign of the cultural experience of visiting a museum through transmedia narrative, gamification and new technologies" (COMRDI18-1-0009) funded by ACCIÓ program, Generalitat de Catalunya Project "Parámetros y estrategias para incrementar la relevancia de los medios y la comunicación digital en la sociedad: curación, visualización y visibilidad (CUVICOM)" (PID2021-123579OB-I00) funded by MICINN, Ministry of Science and Innovation (Spain) Lopezosa maintains an active presence in academic circles with profiles on ORCID, Google Scholar, ResearchGate, and Academia.edu. His work has practical applications for media organizations seeking to improve their digital visibility while maintaining journalistic integrity in an era of algorithmic content distribution and AI-generated information.

• Machine Learning
• Deep Learning
• Remote Sensing
• +۳ مورد دیگر

Fabian Christian Gieseke is an Associate Professor in the Department of Computer Science at the University of Copenhagen, specializing in Machine Learning. His research focuses on developing advanced computational methods for environmental monitoring and large-scale data analysis. Primary research interests include: Application of deep learning to remote sensing and geospatial data Large-scale forest biomass estimation using LiDAR and satellite imagery National-scale ecological monitoring systems Efficient algorithms for processing massive environmental datasets His recent publications demonstrate a strong emphasis on applying machine learning to climate science and ecological conservation. Work frequently involves: Cross-disciplinary collaborations with environmental scientists Development of novel deep learning architectures for 3D data Large-scale mapping of natural resources Solutions for global environmental challenges

• Machine Learning
• Natural Language Processing
• Information Retrieval
• +۳ مورد دیگر

David Robert Shannon is an Instructor at the Department of Computer Science, University of Copenhagen. He contributes to teaching and research within the Machine Learning section, which participates in the SCIENCE AI Centre. University: University of Copenhagen Department: Department of Computer Science Section: Machine Learning His research interests span theoretical and applied machine learning, focusing on natural language processing, information retrieval, medical image analysis, computational biology, and quantum computing applications. He utilizes the department's powerful compute cluster for projects involving AI's environmental impact, quantum algorithms, and biomedical data modeling. Recent publications highlight work in quantum-inspired neural networks, sustainable AI, medical diagnostics, and cross-cultural computational frameworks. Key themes include ethical considerations in AI, hybrid quantum-classical systems, and multimodal data analysis. David collaborates with the Machine Learning section and SCIENCE AI Centre, leveraging resources like TreeSense for remote sensing and deep learning of global tree resources. The section's activities range from foundational research to applications in sustainability and biological data modeling.

M. Theuneمشاهده پروفایل

استادیار

• Natural Language Processing
• Human-Computer Interaction
• Conversational Agents
• +۴ مورد دیگر

M. Theune is an Assistant Professor at the Human Media Interaction (EEMCS-CS-HMI) group within the Faculty of Electrical Engineering, Mathematics and Computer Science at the University of Twente. Specializing in Natural Language Processing and Human-Computer Interaction, their research focuses on embodied conversational agents, interactive digital storytelling, and educational technology applications. Expertise: Conversational Agents, Virtual Humans, Natural Language Generation, Serious Games, Human-Media Interaction Key Projects: Research on lexical alignment in AI interactions, bias mitigation strategies, self-disclosure mechanisms in voicebots, and immersive learning technologies Research Trends Theune's recent publications (2023-2025) demonstrate consistent focus on lexical alignment in human-agent conversations, with applications in large language models (GPT-3.5/GPT-4), confirmation bias mitigation , and trust dynamics . Their work bridges dialogue system design with psychological modeling , particularly in educational contexts and multi-user interaction scenarios. Scientific Contributions: Netherlands Organisation for Scientific Research (NWO) grant (2003) for language/gesture generation in embodied agents Co-developer of systems like BLISS (spoken dialogue dataset), Data2Game (integrated demonstrator), and ExpReal (narrative authoring tools)

Peyman Najafiradمشاهده پروفایل

دانشیار

• Artificial Intelligence
• AI Security
• Machine Learning
• +۳ مورد دیگر

Peyman Najafirad is an Associate Professor in the Department of Computer Science at the University of Texas at San Antonio (UTSA), part of the College of Sciences. His academic journey includes a Ph.D. and M.S. in Electrical and Computer Engineering and Computer Science from UTSA, alongside an M.S. in Computer Engineering and Artificial Intelligence from Iran's Polytechnic, and a B.S. in Computer Science from Sharif University of Technology. His research focuses on AI security, knowledge representation, probabilistic decision-making, and reinforcement learning. Notable contributions include work on adversarial machine learning, LLM-driven cybersecurity solutions, and multimodal AI systems for remote sensing and medical imaging. Najafirad's publications address challenges in secure code generation, AI fairness, and real-time decision-making frameworks for IoT systems. His work bridges theoretical advancements with practical applications, such as vulnerability analysis in software systems, automated defense mechanisms, and explainable AI for healthcare and disaster response. Current research trends highlight innovations in AI safety, ethical algorithm design, and cross-disciplinary solutions for complex societal challenges. While no awards or grants are explicitly listed, his prolific publication record reflects sustained engagement with cutting-edge topics in computer science. His advising role and academic leadership contribute to fostering the next generation of researchers in interdisciplinary AI applications.

• Distributed Computing
• Communications Technologies
• Electrical and Electronic Engineering
• +۷ مورد دیگر

Professor Julie McCann is a Professor of Computer Systems in the Department of Computing at the Faculty of Engineering, Imperial College London. Her research spans multiple domains within computer science and engineering, with a particular focus on distributed systems and communications technologies. Her research interests include: Distributed Computing and Networked Systems Internet of Things (IoT) and Wireless Sensor Networks 6G Networks and Integrated Sensing and Communication Security and Privacy in Cyber-Physical Systems Machine Learning Applications for Activity Recognition Quantum-Classical Hybrid Computing Systems Professor McCann's recent work demonstrates a strong focus on practical applications of advanced networking technologies, particularly in the areas of IoT security, drone systems, and assistive technologies. Her research shows a consistent trajectory toward integrating sensing, communication, and computation in novel ways to address real-world challenges in areas ranging from healthcare to transportation. She has made significant contributions to Low-Power Wide-Area Networks (LPWAN) technologies like LoRa, with numerous publications exploring scalability, reliability, and security aspects. While specific awards are not mentioned in the available information, her extensive publication record in top venues demonstrates recognition within her fields of expertise. Professor McCann leads research that bridges theoretical computer science with practical engineering applications. Her work often involves interdisciplinary collaboration across multiple domains, including electrical engineering, computer vision, and quantum computing. She appears to focus on creating resilient, secure, and efficient systems for emerging technologies.

Hannah Waightمشاهده پروفایل

استادیار

• Media Politics
• Information Control
• Chinese Governance
• +۲ مورد دیگر

Hannah Waight is an Assistant Professor of Sociology at the University of Oregon, specializing in media politics and information control in authoritarian regimes. She holds a Ph.D. from Princeton University and completed postdoctoral research at NYU's Center for Social Media and Politics. Her research examines state propaganda mechanisms in Chinese media ecosystems using computational text analysis and machine learning. Current projects investigate generative AI's role in information amplification and cross-lingual search systems for sign language. She develops novel methodologies for measuring media manipulation and analyzing perception dynamics in controlled information environments.

Rahul Divekarمشاهده پروفایل

استادیار

• Natural Language Processing
• Intelligent User Interfaces
• Educational Technology
• +۴ مورد دیگر

Rahul Divekar is an Assistant Professor in the Experience Design department at Bentley University. His work sits at the intersection of Artificial Intelligence and Human-Computer Interaction, with a focus on Educational Technology and Extended Reality applications. He holds a Ph.D. from Rensselaer Polytechnic Institute and teaches courses like IDCC386: Investigations in Experience Design and HF760: Intelligent User Interfaces. Academic Rank: Assistant Professor University: Bentley University School: College of Arts and Sciences Department: Experience Design Education: Ph.D., Rensselaer Polytechnic Institute Dr. Divekar's research explores how AI agents can revolutionize foreign language learning through immersive, task-based environments. His expertise in Conversational AI and Natural Language Processing has led to innovations in Extended Reality (XR) applications for education, including embodied negotiation agents and multimodal interaction systems. His recent work investigates the role of Large Language Models (LLMs) in replacing search engines for student learning processes. His publications span topics from XR-based language acquisition to AI tools for crisis management. While no specific scientific awards are listed, his research has contributed to advancing AI applications in educational contexts. He maintains professional presence through academic links and LinkedIn, emphasizing practical AI implementation for non-NLP experts.

• Artificial Intelligence
• Data Science
• Machine Learning
• +۷ مورد دیگر

Phivos Mylonas is an Associate Professor at the Department of Informatics and Computer Engineering within the School of Engineering at the University of West Attica. He also maintains academic appointments at Ionian University where he previously served as Associate Professor and Assistant Professor in the Department of Informatics. His academic journey includes adjunct professor positions at several Greek institutions including University of Central Greece, University of the Aegean, and University of Crete. Dr. Mylonas holds a PhD in Electrical and Computer Engineering from the National Technical University of Athens, a Master's Degree in Advanced Information Systems from the National and Kapodistrian University of Athens, and a Diploma in Electrical and Computer Engineering from the National Technical University of Athens. His research spans Artificial Intelligence applications, data science, user modeling, personalization technologies, and semantic frameworks. His scholarly output shows a clear trajectory toward increasingly sophisticated AI applications, with recent publications focusing on ChatGPT integration, fuzzy logic systems, and multimodal interaction. The research demonstrates strong interdisciplinary connections between computer science, education, and cultural heritage preservation. Thomaidio Grant for Science and Art Progress (2005, 2006) ICCS-NTUA Short Term Research Grant (2005-2006) As an academic leader, Dr. Mylonas has served as Director of the Humanistic and Social Informatics Laboratory at Ionian University (2013-2022) and as a Senior Researcher at the Image, Video and Multimedia Laboratory at National Technical University of Athens. He has been instrumental in organizing numerous international conferences and has served on over 200 conference program committees. His laboratory work spans multiple institutions including collaborations with University of Patras and Ionian University.

• History of Pharmacy
• History of Medicine
• History of Science
• +۱۱ مورد دیگر

Professor A.H.L.M. Pieters is a distinguished academic at Utrecht University's Faculty of Science, holding a professorship in both Pharmacoepidemiology and Clinical Pharmacology and the History and Philosophy of Science. Appointed to his chair in History of Pharmacy and Allied Sciences with an inaugural lecture delivered on April 18, 2011, Professor Pieters has established himself as a leading interdisciplinary scholar bridging historical, pharmaceutical, and digital humanities perspectives. His research interests span the history of pharmacy, medicine, and science with particular focus on colonial medicine, drug policy history, and digital humanities approaches to historical research. Professor Pieters has pioneered work on the history of leprosy in Suriname, cinchona and quinine production, opioid history, and the governance of controlled substances. His methodological approach combines traditional historical research with digital tools and text mining techniques to analyze historical public debates on drugs and medicine. Professor Pieters' publication record reveals a fascinating trajectory from historical pharmaceutical studies toward increasingly interdisciplinary work that connects medical history with contemporary digital society issues. While maintaining his core focus on pharmaceutical history, his recent work has expanded into digital humanities applications, political deliberation, and AI-assisted research methods, demonstrating remarkable adaptability while preserving historical rigor. As an active academic leader, Professor Pieters has organized numerous conferences including the Materia Medica on the Move series, chaired events like the KNMP Pharmacogenomics Congress, and delivered invited talks on topics ranging from antidepressant history to colonial pharmaceutical networks. His work contributes to multiple UN Sustainable Development Goals, particularly those related to health and sustainable communities. Professor Pieters maintains an active research group focused on the history of pharmacy and allied sciences, with particular attention to how historical perspectives can inform contemporary pharmaceutical challenges. His work bridges the gap between historical scholarship and current pharmaceutical practice, demonstrating the relevance of historical understanding for contemporary medical and pharmaceutical issues.

Pedro Sarmentoمشاهده پروفایل

پژوهشگر ارشد

• Sound and Music Computing
• Deep Learning
• AI in Music
• +۳ مورد دیگر

Pedro Sarmento is a Research Fellow at Queen Mary University of London's School of Electronic Engineering and Computer Science. His research focuses on Sound and Music Computing , leveraging deep learning and AI techniques for symbolic music generation, particularly in guitar tablature formats. He leads projects like Guitar-Oriented Neural Music Generation , exploring prescriptive notation in fretted instruments using datasets like dadaGP and GigaMIDI. His work integrates transformer models for tasks such as emotion-conditioned music generation, style transfer, and live coding performances. Notable applications include mapping smart city sensor data (e.g., air quality) to musical outputs. Collaborations span music informatics, interdisciplinary projects in progressive metal composition, and AI ethics in creative processes. Research highlights include conditional music generation, guitarist style modeling, and dataset development for expressive music performance analysis. Pedro contributes to the Centre for Digital Music (C4DM) and actively publishes in AI-driven music technology, bridging computational methods with artistic creativity.

• Biomechanics
• Rehabilitation Engineering
• Assistive Technologies
• +۷ مورد دیگر

Alpha Agape is an Associate Professor at the Malaysia School of Engineering, Monash University. His work bridges biomechanics, rehabilitation engineering, and assistive technologies, with a focus on injury prevention, virtual reality for fall assessment, and soft robotics. He has mentored students in academic and industry roles and actively engages in community outreach for public education on sports performance and health. Graduate Certificate in Higher Education (2018) PhD in Engineering Sciences (2011) Bachelor of Mechatronics Engineering (2007) His research interests span biomechanics, cyberphysical systems for remote monitoring, and AI-driven injury prevention. Recent projects involve soft robotics for elderly support and AI-enhanced rehabilitation systems. Publications highlight trends in neural network applications for gait analysis, muscle activity estimation, and assistive device optimization. MUPA Supervisor of the Year Award, 2018 ITEX 2020 Bronze Medalist As an educator, he emphasizes interdisciplinary collaboration and research integrity. His external roles include leadership positions in the IEEE Computer Society (Malaysia) from 2013–2020. Current projects include fall prevention technology and soft robotics for object retrieval, reflecting his commitment to healthy aging and community well-being.