جست‌وجوی استاد و پژوهشگر

• Information Systems
• Databases
• eBusiness
• +۹ مورد دیگر

Spiros Sirmakessis is a Professor in the Department of Electrical and Computer Engineering at the University of Peloponnese. He is the Director of the eBusiness and User Experience Lab, focusing on innovation and entrepreneurship, particularly in fostering startup ecosystems and promoting research for social benefit. His roles include Head of the Technology Transfer Unit, member of the Research Academic Computer Technology Institute (CTI), and elected member of the University’s Governing Council. Educated at the University of Patras, he holds a PhD in Computer Engineering and has coordinated over 100 research projects funded by EU, national, and private sources. His research spans Information Systems, eBusiness, Human-Computer Interaction, and Data Mining. He teaches courses on Interaction Design and e-Business, emphasizing practical applications of technology in education and industry. Notable contributions include developing personalized e-learning systems, enhancing e-government services, and exploring user experience in mobile and web applications. His work bridges technical innovation with societal impact, such as promoting sustainable development through STEAM education and blue economy initiatives. Publications span journals and conferences, addressing topics like adaptive learning communities, web mining, and UX design. His projects often involve cross-disciplinary collaboration and practical implementation, reflecting a commitment to applied research with real-world outcomes.

Raj Reddyمشاهده پروفایل

عضو هیئت علمی

• Artificial Intelligence
• Robotics
• Speech Recognition
• +۴ مورد دیگر

Raj Reddy is the Moza Bint Nasser University Professor of Computer Science and Robotics at Carnegie Mellon University's School of Computer Science. He has held roles including Robotics Institute Director (1979-1991) and School of Computer Science Dean (1991-1999). His research spans AI, robotics, speech recognition, and digital libraries. Education: B.E. Civil Engineering (University of Madras, 1958), MTech (UNSW, 1960), PhD Computer Science (Stanford, 1966). Early career included faculty roles at Stanford (1966-1969) before joining CMU in 1969. Research focuses on AI applications for societal benefit, including voice computing for underprivileged populations, digital democracy, and universal education initiatives. Notable projects: Hearsay speech systems, Million Book Digital Library, and RGUKT educational institutions. Over 150+ publications in AI, robotics, and speech processing. Awards include ACM Turing Award (1994), Padma Bhushan (2001), and honorary doctorates from 15+ institutions worldwide.

Yin Liمشاهده پروفایل

استادیار

• Computer Vision
• Healthcare Applications
• Mobile Health
• +۳ مورد دیگر

Yin Li is an Assistant Professor in the Department of Biostatistics and Medical Informatics at the University of Wisconsin–Madison, affiliated with the School of Medicine and Public Health. He holds additional faculty status in the Department of Computer Sciences (College of Letters and Science). His research focuses on computer vision applications in healthcare, mobile health technologies, and wearable computing systems, with an emphasis on medical imaging analysis, AI-driven clinical solutions, and edge computing for resource-constrained devices. Dr. Li's work bridges theoretical computer science and applied medical informatics, addressing challenges such as adaptive inference for large language models, real-time 3D vision systems, and automated analysis of neonatal care procedures. His projects often involve collaboration with clinical partners to ensure practical impact in areas like intubation guidance, tumor radiotherapy planning, and NICU activity monitoring. He maintains an active research lab with affiliations spanning multiple departments, and his work has been recognized through contributions to benchmarks like Biodrone and RICA2. His website ( https://www.biostat.wisc.edu/~yli/ ) provides further details on ongoing projects and collaborations.

• Natural Language Processing
• Cyberbullying Detection
• Semantic Web
• +۳ مورد دیگر

Dr. Maral Dadvar is a Research Fellow at Stuttgart Media University, specializing in Natural Language Processing (NLP) and its applications to social challenges. She holds a PhD in Computer Science from the University of Twente, Netherlands, where her doctoral work focused on cyberbullying detection in social networks. Her current research integrates NLP with identity resolution techniques for the FID Judaica project, aiming to enhance data integration in Jewish cultural heritage domains. Key areas of expertise include cyberbullying detection algorithms, domain-specific knowledge bases (e.g., JudaicaLink), and ethical AI applications. Her work bridges technical innovations with societal needs, addressing issues like online safety and cultural heritage digitization. Dadvar collaborates internationally with institutions like LIBER and the European Research Libraries network. Publications span interdisciplinary topics such as conservation conflict analysis using NLP, linked open data standards, and multilingual entity disambiguation. She actively mentors students pursuing Bachelor’s and Master’s theses in these domains. Her research emphasizes practical solutions for real-world challenges, combining computational methods with human expertise.

Bang Tranمشاهده پروفایل

استادیار

• Machine Learning
• Internet of Things (IoT) Security
• Cybersecurity
• +۳ مورد دیگر

Bang Tran is an Assistant Professor of Computer Science at Assumption University’s D’Amour College of Liberal Arts and Sciences. Previously, he served as a Senior Lecturer at the University of Transport and Communications (UTC), Vietnam (2003–2018), receiving multiple UTC Excellent Teaching Awards (2013–2017). He earned his Ph.D. in Computer Science from the University of Massachusetts Boston (2023) under Prof. Xiaohui Liang, with prior degrees from Hanoi National University (BSc, 2001), Hochiminh National University (MSe, 2009), and additional research experience at Sonde Health Inc. His research focuses on machine learning applications for IoT privacy/security, voice assistant security, and cognitive health measurement. Notable achievements include the 2021 IEEE ICC Best Paper Award for work on mitigating voice assistant replay attacks, and the 2023 SOUPS poster award for VPASS, a voice privacy monitoring system. He teaches courses like Machine Learning, Data Structures, and Large Datasets. Recent grants include the 2025 Assumption Faculty Development Grant and a 2025 Summer Scholar Fellowship mentoring student Keegan Concannon on AI-driven network intrusion detection. He actively contributes to conferences like ICASSP, ICC, and SOUPS, and has supervised student projects in cybersecurity and AI. Education: Ph.D. UMass Boston (2023); MSe Hochiminh National University (2009); BSc Hanoi National University (2001) Awards: 3 UTC Teaching Awards, ICC2021 Best Paper, Erasmus Mundus Fellowship Labs/Teams: Assumption Cybersecurity Research Group, collaborations with Sonde Health Inc

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۳ مورد دیگر

Dr David McLean is a Senior Lecturer in the Department of Computing and Mathematics at Manchester Metropolitan University, and Programme Leader for the Digital Technology Solutions MSc Apprenticeship Programme. He holds a BSc in Computing from the University of Leeds, a PhD in Artificial Neural Networks, a PGCE, and is a Fellow of the Higher Education Academy. His research focuses on Artificial Intelligence, Machine Learning, Data Mining, and Conversational Agents. Notable work includes neural network architectures for function approximation, semantic similarity measures in social media, and adaptive tutoring systems. He holds a patent for psychological profiling using neural networks and has collaborated with Prof. Donald Michie, a pioneer in AI. Teaching responsibilities include Postgraduate modules on Data Management and Machine Learning using tools like Weka and MATLAB. He has supervised 8 PhD completions. Awards include Fellowship of the Higher Education Academy and contributions to Research Assessment Exercises. Technical expertise includes C#, Java, Prolog, and roles as an external examiner at Sheffield Hallam University.

• Computational Semantics
• Multilingual Representation Learning
• Low-Resource NLP
• +۴ مورد دیگر

Goran Glavaš is a Professor at the University of Würzburg, holding the Chair for Natural Language Processing (Informatik XII) within the Faculty of Mathematics & Computer Science, and a member of the Center for Artificial Intelligence and Data Science (CAIDAS). His research focuses on computational semantics, multilingual/low-resource representation learning, and NLP applications in social sciences/humanities. He previously held roles as Assistant Professor at the University of Mannheim and Interim Associate Professor at LMU Munich. Glavaš earned his doctorate in 2014 from the University of Zagreb under Jan Šnajder. Research Interests: Glavaš explores fair and sustainable NLP, multilingual system development, and cross-lingual adaptation. His work emphasizes resource-poor language support, ethical AI practices, and bridging NLP with humanities/social sciences. Recent studies include multilingual hallucination detection, geographic LLM adaptation, and news recommendation systems. Recent Trends in Publications: His 2024 work spans multilingual models (e.g., NLLB-LLM2Vec), cross-lingual news recommendation (MANNeR), and code analysis (IRCoder, which won ACL’s Outstanding Paper Award). Earlier 2023 contributions include multilingual dialogue systems (Multi2WOZ) and simplified neural encoders for news recommendation. Awards: 2024 ACL Outstanding Paper (IRCoder), 2024 EACL Outstanding Paper (Kardeş-NLU) Advising & Labs: Leads the WüNLP research group at CAIDAS. His lab focuses on democratizing NLP through open-source tools and cross-disciplinary collaborations. No current advisee list is provided, but past roles suggest active mentorship in multilingual NLP domains.

Kenneth Englishمشاهده پروفایل

استاد

• Engineering Education
• Cyberinfrastructure in Engineering Design
• Multidisciplinary Design Synthesis
• +۳ مورد دیگر

Dr. Kenneth English is a Professor and Deputy Director of the SMART Community of Excellence at the University at Buffalo's School of Engineering and Applied Sciences. His work focuses on engineering education innovation, cyberinfrastructure applications in design processes, and socio-technical aspects of multidisciplinary collaboration. He has developed curricula and online training platforms, including multiple Coursera courses on digital manufacturing and systems engineering. PhD in Engineering Center for eDesign leadership Active in K-12 STEM outreach programs Research emphasizes educational technology integration, design optimization methods, and fostering inclusive engineering communities. Over 30 years, he has supervised 25+ graduate and undergraduate students in areas like design synthesis and educational technology. His publications span design methodologies, teacher training, and computational tools for engineering education. Collaborations include developing motion simulation labs and web-based visualization frameworks for complex system analysis. Current projects explore AI-driven design concept generation and teacher identity development in STEM.

Anke Huckaufمشاهده پروفایل

استاد

• Human-Computer Interaction
• Eye Tracking
• Perceptual Psychology
• +۳ مورد دیگر

Anke Huckauf is a Professor at the University of Ulm, Germany, specializing in Human-Computer Interaction (HCI), perceptual psychology, and eye tracking. Her research focuses on understanding and leveraging eye movements, pupil dynamics, and visual perception to design advanced interaction techniques and systems. She contributes to fields such as assistive technologies, augmented reality, and user-centric design. Research Interests: Eye tracking applications, cognitive modeling, physiological computing, and social interaction analysis. Key Projects: Developing pupil-assisted target selection (PATS), optimizing online learning through eye movement visualization, and studying deception detection via eye behavior. Her work bridges cognitive science and engineering, addressing challenges in human interaction with technology. Recent trends in her publications emphasize interdisciplinary approaches, combining neuroscience insights with HCI innovations. No scientific awards are explicitly mentioned in the provided texts. Labs/Teams: Likely part of the HCI research group at the University of Ulm, collaborating with institutions on eye tracking and perceptual systems.

Juan Diego Gutiérrez Gallardoمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Juan Diego Gutiérrez Gallardo is an Assistant Professor at the Universidade de Santiago de Compostela, specializing in applying Artificial Intelligence to diverse domains. His research emphasizes optimizing low-cost adaptations of base models for specialized tasks, particularly in medical imaging and educational technology. He holds a Doctorate in Modeling and Experimentation from the Universidad de Extremadura (2022), following degrees in Computer Engineering and a Master’s in Secondary Education. Education: BSc in Computer Engineering (2010), MSc in Computer Engineering (2013), Master’s in Education (2016), PhD in Modeling and Experimentation (2022). Research Interests: AI-driven medical imaging, machine learning optimization, and leveraging AI in educational evaluation. His work focuses on reducing computational costs while enhancing model adaptability. His recent articles explore SAM-based medical image segmentation, audio classification via EnCodec latent spaces, and the impact of ChatGPT on engineering education. He has authored over 20 computer science books and translated 10 technical works from English to Spanish. Awards include the JENUI 2023 Best Work Award for impactful research. Teaching responsibilities include 'Technological Tools for Business' and 'Digital Technologies for Cultural Management.' He actively contributes to reproducibility frameworks in data science and hybrid recommendation systems for media.

• Computer Science
• Linguistics
• Natural Language Processing
• +۳ مورد دیگر

Zenón José Hernández Figueroa is a Professor at the University of Las Palmas de Gran Canaria, Department of Computer Science and Systems. His research focuses on computational linguistics, programming education, and e-learning tools. He is a key contributor to the Virtual Programming Lab (VPL) for Moodle, an automated assessment system widely used in programming courses. His work also includes text analysis tools like Estilometría TIP and OpinionText TIP , which specialize in Spanish language processing. He has advised over 20 students on final degree projects and master's theses, spanning mobile applications, web services, and linguistic analysis. He is affiliated with the GIR IATEXT research group (Cognition, Linguistics, Text and Information Processing) and the IU of Textual Analysis and Applications . His contributions include anti-plagiarism systems, peer evaluation frameworks, and scalable architectures for educational software. His career spans over four decades, from early work in algorithm animation (1986) to modern AI-driven text analysis tools (2025).

Mohand Said Alliliمشاهده پروفایل

استاد

• Machine Vision
• Machine Learning
• Multimedia Data Processing
• +۵ مورد دیگر

Mohand Said Allili is a full professor in the Department of Computer Science and Engineering at the University of Quebec in Outaouais (UQO). He directs the Imaging, Vision, and Artificial Intelligence Research Laboratory (LARIVIA), focusing on machine vision, machine learning, multimedia data processing, and cybersecurity applications in medical and aerial imagery analysis. His research spans over three decades with notable contributions in image segmentation, texture analysis, deep learning models for medical diagnostics, and AI-driven infrastructure inspection systems. Key projects include drone-based bridge defect detection systems and dermatological imaging networks. His work integrates probabilistic modeling (e.g., Gaussian mixtures) with modern neural networks for robust computer vision solutions. Publications highlight trends in: Deep learning applications for infrastructure monitoring (bridge defect detection) Medical imaging advancements (skin lesion segmentation) Augmented reality systems for remote inspection Innovative texture modeling techniques Allili's lab develops cutting-edge tools like MEDiXNet for dermatological analysis and SES-ReNet for human detection in adverse conditions. His work bridges theoretical computer science with practical engineering solutions. Research focuses on: Semantic image/video annotation Multimodal data fusion Lightweight neural networks for edge computing Context-aware feature extraction

Kat Agresمشاهده پروفایل

استادیار

• Music Cognition
• Computational Creativity
• Music Technology
• +۵ مورد دیگر

Dr. Kat Agres is an Assistant Professor in Contextual Studies – Music Cognition at the Yong Siew Toh Conservatory of Music, National University of Singapore, and a Research Scientist & founder of the Music Cognition group at A*STAR’s Institute of High Performance Computing (IHPC). Her work bridges cognitive science, music technology, and healthcare, focusing on music perception, computational creativity, and music-based MedTech solutions for health and well-being. She holds a PhD in Experimental Psychology from Cornell University and conducted postdoctoral research at Queen Mary University of London, supported by an EU grant. Her research explores auditory statistical learning, music-brain interfaces (BCIs), and the therapeutic applications of music for special populations. Key grants include NIH and NIMH fellowships. Agres actively collaborates across disciplines, presenting globally and publishing in journals like Cognitive Science and Neural Computing and Applications . Beyond academia, she is a cellist with professional orchestral experience and integrates jazz and rock performance into her creative practice. Educational Background PhD in Experimental Psychology, Cornell University (with minor in Cognitive Science) Bachelor’s in Cognitive Psychology & Cello Performance, Carnegie Mellon University Postdoctoral Fellowship, Queen Mary University of London Research Interests Music cognition mechanisms (e.g., memory, expectation) Computational models of creativity and emotion in music Music technology for healthcare (e.g., stroke rehabilitation, dementia therapy) Music’s role in mental health and social connection Grants & Awards Fellowship from the National Institute of Health (NIH) Fellowship from the National Institute of Mental Health (NIMH) Labs & Teams Founder of the Music Cognition group at IHPC/A*STAR

• Artificial Intelligence
• Digital Curation
• Information Forensics
• +۷ مورد دیگر

Dr. Yunhyong Kim is a Lecturer in Information Studies at the University of Glasgow's School of Humanities. She holds a Ph.D. in Mathematics from the University of Cambridge and an MSc in Speech and Language Processing from the University of Edinburgh. Her research focuses on AI-driven digital curation, information forensics, and privacy-aware data management, aiming to bridge computational methods with archival practices to enhance digital preservation strategies. Education: Ph.D. in Mathematics, University of Cambridge MSc in Speech and Language Processing, University of Edinburgh Research Interests: Machine learning for digital preservation Fusion of AI and archival practices Privacy in personal data exploration Generative AI ethics in cultural heritage Forensic analysis of digital archives Grants & Projects: 2018–2021: AHRC-funded project on Stephen Dwoskin’s digital legacy 2021: L&T Development Fund for opinion mining in teaching evaluations 2011–2013: EU-funded BlogForever project on weblog preservation Labs/Teams: Co-lead on the PHAWM project (Participatory Harm Auditing) Collaborator with University of Reading, BFI, and LUX on digital cinema preservation Member of interdisciplinary teams in veterinary epidemiology and data ethics

• Information Retrieval
• Augmented Reality
• User Behavior
• +۵ مورد دیگر

Giulio Jacucci serves as a Visitor (Faculty) at the Department of Computer Science, University of Helsinki, with additional affiliations to the Myllymäki Petri group and Helsinki Institute for Information Technology (HIIT). His academic foundation includes a Doctor of Philosophy from the University of Oulu, awarded on December 22, 2004. His research interests span multiple domains within human-computer interaction, with particular expertise in Information Retrieval (100%), Augmented Reality (57%), User Behavior (57%), Points of Interest (51%), and Mobile Devices (47%). His work also extends to Interactive Visualization, Information Discovery, and Multimedia Systems, reflecting a strong interdisciplinary approach to computer science. Analysis of his recent publications reveals a clear trajectory toward more complex human-AI interaction systems, with increasing focus on virtual environments, large language model integration, and health informatics applications. His 2024-2025 work demonstrates sophisticated approaches to understanding user behavior in virtual spaces while maintaining strong methodological rigor in empirical studies. Dr. Jacucci has hosted academic visitors in 2007, 2008, and 2009, and has supervised at least three theses as indicated by institutional records. His research activity remains robust with 163 total publications and ongoing output through 2025. His work contributes to UN Sustainable Development Goals related to education and technological advancement. The research network shows significant collaboration across international boundaries, with particular strength in European research partnerships.