جست‌وجوی استاد و پژوهشگر

Roberto Iglesias Rodríguezمشاهده پروفایل

دانشیار

• Machine Learning
• Robotics
• Continual Learning
• +۶ مورد دیگر

Roberto Iglesias Rodríguez is an Associate Professor at the University of Santiago de Compostela, Spain, with a focus on robotics and machine learning. He holds a B.S. and Ph.D. in Physics from the same institution (1996, 2003). His work addresses lifelong robot learning, federated learning, and deployment of intelligent systems in heterogeneous environments. Current affiliation: University of Santiago de Compostela Academic rank: Associate Professor Education: B.S. and Ph.D. in Physics (1996, 2003) His research spans robotics, machine learning, and sensor fusion , emphasizing adaptive algorithms for non-IID data, concept drift, and real-time environmental interaction. Projects include service robots learning from humans, distributed control architectures, and federated learning strategies. Recent publications analyze continual learning , scene recognition , and human-robot collaboration . Key themes: robust navigation, multi-sensor systems, and explainable AI.

Rolf Plötznerمشاهده پروفایل

استاد

• Educational Psychology
• Multimedia Learning
• Instructional Animations
• +۴ مورد دیگر

Rolf Plötzner serves as Professor for Media Didactics within the Department of Learning with Media at Freiburg University of Education's Institute of Psychology. He maintains active consultation hours for Summer Semester 25 via Zoom, demonstrating ongoing academic engagement in teacher education programs across primary, secondary, and vocational disciplines. His research program investigates cognitive mechanisms in multimedia learning, with concentrated expertise in instructional animations , interactive videos , and 3D visualizations for understanding technical system changes. Key theoretical frameworks include cognitive load theory and visuospatial working memory models, examining how interactivity features influence learning outcomes when mastering dynamic processes. Recent publications (2020-2025) reveal consistent experimental and meta-analytic approaches comparing animation efficacy against static media. Research trends emphasize change-specific learning demands , interaction feature optimization , and cognitive predictor variables , with emerging exploration of AI applications in educational media design. Professor Plötzner supervises Bachelor's and Master's theses requiring rigorous theoretical grounding in educational psychology. His supervision spans analytical literature reviews, empirical classroom studies, and development-oriented media projects across teacher education programs. Students must submit preliminary research questions with theoretical frameworks and methodological plans, focusing on digital media applications for programming education, cooperative learning, and technical system comprehension.

Martin Henkelمشاهده پروفایل

دانشیار

• Enterprise Modelling
• Business Process Management
• Conceptual Modelling
• +۵ مورد دیگر

Martin Henkel is an Associate Professor at Stockholm University's Department of Computer and Systems Sciences (DSV), where he conducts research and teaches in enterprise modeling, business process management, and service-oriented computing. His work bridges theoretical frameworks with practical applications in healthcare, transportation, and public sector digitalization. Dr. Henkel earned his PhD in 2008 in service-oriented information systems. His research focuses on enterprise capability design, business value modeling, and developing methodologies for organizational change. He leads the PRECIS research group which addresses theories, methods and tools for analysis and design of organizational and IT solutions in congruence across three key topics: Enterprise Modelling, Business Process Management, and Conceptual Modelling. His publication record demonstrates consistent contributions to enterprise modeling, particularly in capability modeling and inter-organizational processes. Recent work shows a growing emphasis on healthcare applications, with several projects addressing digital solutions for elderly care and healthcare collaboration. His research combines theoretical modeling with practical implementation across multiple sectors. Ongoing Projects: DISAL (Data-driven solutions in complex care processes), DISRA (Digital innovation in collaboration between city, region and academy) Completed Projects: KYKLOS method for capability change, Online rehabilitation system for COVID-19 patients, Virtual Case System, Enterprise Modelling of Organisational Rules Dr. Henkel teaches courses on cross-organizational ERP systems, software architecture, enterprise modeling, and service design. His research has been applied in domains including transport, healthcare, and IT systems for energy efficiency through various projects such as CaaS, REMS Healthcare, Serviam, and EnRiMa.

Alexander Bergmann-Geringمشاهده پروفایل

عضو هیئت علمی

• Biology Education
• Science Education
• Bioethics
• +۳ مورد دیگر

Alexander Bergmann-Gering is a Research Associate and Study Coordinator for Biology Teaching at the Faculty of Life Sciences , University of Leipzig , with affiliations also at Empiriks GbR and visiting roles at University of Vienna and University of Kassel . He holds a Dr. rer. nat. in Biology Didactics. Education : Master of Education (Biology & Ethics/Philosophy) at University of Leipzig (2013), Polyvalent Bachelor Lehramt (2011) Research Interests focus on systemic thinking in biology education, ethical judgment processes , and digital-analog discourse analysis of scientific topics. His work bridges educational psychology , bioethics , and teacher professionalization . Scientific Awards : Pre-Doc Award (2021), University of Leipzig Teaching includes modules like Biology Didactics I/II , Bioethics , and School-Practical Studies , emphasizing case-based learning , model construction , and ethical discourse . He has taught at University of Rostock , University of Hamburg , and Leibniz University Hannover .

Paul Sheridanمشاهده پروفایل

استادیار

• Text Analysis
• Ontologies
• Computational Literary Studies
• +۶ مورد دیگر

Paul Sheridan is an Assistant Professor at the School of Mathematical and Computational Sciences, University of Prince Edward Island, specializing in text analysis and ontologies for computational literary studies. He develops novel term weighting schemes through statistical significance testing to improve document retrieval, classification, and summarization methods. His Literary Theme Ontology (LTO) provides the first controlled vocabulary of literary themes for media annotation and information retrieval. Research Grants: AI/machine learning for engine maintenance (2024), keyword extraction efficacy analysis (2023–2024), GPT-2 unnatural language generation (2022–2025) Academic Leadership: Statistics and Analytics Program Lead (2024–present), ACENET Research Directorate member His recent publications focus on lexical diversity analysis, term dispersion quantification, and statistical foundations of TF-IDF. He supervises students in projects spanning energy-efficient NLP, causal inference in finance, and low-resource language embeddings. Paul actively contributes to open-source projects like stoRy and PAFit packages.

Andrea Del Lungoمشاهده پروفایل

استاد

• 19th-Century French Literature
• Digital Humanities
• Literary Theory
• +۳ مورد دیگر

Andrea Del Lungo is a Full Professor at Sapienza University of Rome's Department of European, American and Intercultural Studies, specializing in 19th-century French literature and digital humanities. He teaches courses including French Literature III , French Literature - Insights , and French Literature - Advanced Course , covering historical sciences and modern philology. Research Focus : Interdisciplinary approaches to literature and cinema, Balzac studies, digital editions, and textual scholarship Projects : Leads the eBalzac initiative for hypertextual editions of Balzac's sources His work bridges traditional literary analysis with digital methodologies, exploring the intersections between Balzac's sociological visions and contemporary digital textual practices. Recent publications demonstrate expertise in genetic criticism, intertextuality, and digital annotation systems. Scientific Contributions Key entries in Dictionnaire Balzac (2021) on topics including Maximes et pensées , Nouveau Roman , and Sterne Editorial roles in Genesis and Acta Fabula Recipient of academic recognition for digital textual methodologies Contact via email andrea.dellungo@uniroma1.it or virtual appointments through Zoom.

Suzana Loshkovskaمشاهده پروفایل

استاد

• Programming
• Visualization
• Human-Computer Interaction
• +۳ مورد دیگر

Suzana Loshkovska, PhD , is a Full Professor at the Faculty of Computer Science and Engineering of Ss. Cyril and Methodius University in Skopje , Macedonia. Since 1992 she has held continuous academic appointments, interrupted only by a visiting-researcher stay at the Academy of Sciences of Lower Austria (1993–1994) where she designed a medical information system for Krems Hospital. Education : BSc (1989) and MSc (1992) in Computer Science and Automation, Faculty of Electrical Engineering, Skopje PhD (1995) in Technical Sciences, Technical University of Wien, Austria Research Interests span programming, visualization, human–computer interaction, virtual reality, medical imaging, and modelling/visualization of medical processes. Her work integrates advanced algorithmic techniques—such as hierarchical multi-label classification, support-vector machines, predictive clustering trees, and Bayesian networks—into practical medical and multimedia applications. Across more than one hundred peer-reviewed publications, her recent articles concentrate on content-based medical image retrieval , annotation of medical images , visual concept detection , and interactive medical systems . These contributions collectively advance computer-aided diagnosis, clinical decision support, and efficient management of large-scale medical data sets. Scientific Awards & Recognition : Member, Editorial Board, INFORMATICA (international journal, Slovenia) Projects & Funding : Principal investigator or participant in bilateral and EU-funded projects including SEE-ERA.NET Plus, TEMPUS DL@WEB, TEMPUS M.Sc. E-Learning, and multiple Macedonian Ministry of Science grants covering medical imaging, environmental modelling, distance learning, and electromagnetic-effects visualisation. While no specific research group or laboratory name is provided, her sustained involvement in national and international projects indicates active leadership within the university’s medical-informatics and multimedia-research community.

• Digital Scenography
• Computer Graphics
• 3D Animation
• +۷ مورد دیگر

Petko Yakimov is an Assistant Professor at the Design Department of New Bulgarian University. With a PhD in Digital Scenography and Character in Cinema, his academic roles include teaching undergraduate courses in Human-Machine Systems and Image Analysis. He combines technical expertise with artistic sensibilities across multiple disciplines. PhD: Digital Scenography & Character in Cinema, New Bulgarian University (2016) MSc: Film & Television Direction, New Bulgarian University (2013) MFA: Scenography, National Academy of Arts (2001) BFA: Scenography, National Academy of Arts (1996) His research focuses on digital scenography , 3D animation , and virtual reality , with recent work exploring generative art techniques in Houdini and VR applications for museum visualization. Publications span topics from deepfake technology in artistic creation to 3D compositing workflows. Professional experience includes: Technical Specialist, NBU TV Studio (2019-2022) Lecturer in Multimedia & Virtual Reality at Academy for Musical, Dance and Visual Arts "Prof. Asen Sarafiev" (2018-2022) Leadership roles in computer graphics at Bulgarian National Television (2005-2011) CGI contributions to films like "Deep Shock" and "Dragon Fighter"

• Digital Mental Health
• Machine Learning
• Anomaly Detection
• +۳ مورد دیگر

Dr. Patrick McAllister is a Lecturer in Computer Science at Ulster University's School of Computing, Belfast campus, with research spanning digital mental health, machine learning, and anomaly detection. His work bridges computer science and healthcare through interdisciplinary collaborations. Education: PhD in Computer Science (Ulster University, 2018) - Thesis: Deep learning-based food image classification and crowdsourcing-based calorie estimation approach to support dietary management Research Interests: Dr. McAllister pioneers AI applications for mental wellbeing, focusing on chatbot systems for bibliotherapy, multimodal sensor analytics for anomaly detection, and digital interventions for community mental health. His work integrates machine learning with clinical requirements to develop scalable health technologies, particularly targeting youth mental health and diagnostic support systems. Publication Trends: Recent work (2023-2025) shows increasing focus on real-world AI deployment in healthcare, with 12 conference contributions and 4 journal articles exploring emotion recognition from physiological signals, explainable anomaly detection, and policy implementation of digital mental health services. His ecological study on vulture decision-making demonstrates cross-disciplinary methodology transfer. Awards: Outstanding Interdisciplinary Research Team Award (2024) for digital mental health innovations Advising and Grants: Supervises PhD researchers Muhammad Imad (Anomaly Detection) and Jing Hua Ye (Machine Learning for Emotion Recognition). Leads $1.2M NIH-funded project AI-assisted echocardiography for congenital heart defects diagnosis in Sub-Saharan Africa (2023-2026) and Department for Economy project Transforming Neonatal Cardiac Diagnostics with AI (2024-2025). Labs and Teams: Core member of Ulster's Digital Mental Health and Wellbeing (DMHW) research group, co-organizing the International DMHW Conference (2024, 2025) and leading the MVSE Multimodal Video Search project with Health and Social Care R&D Division.

Heiko Mausمشاهده پروفایل

پژوهشگر

• Knowledge Management
• Semantic Technologies
• Knowledge Graphs
• +۷ مورد دیگر

Dr. Heiko Maus is a researcher and department leader at the German Research Center for Artificial Intelligence (DFKI) GmbH in Kaiserslautern, Germany. As (co-)author of over 20 publications since 2005, he specializes in knowledge management, semantic technologies, and context-aware systems. Second Deputy Head of Smart Data & Knowledge Services Department (2022–) Team Leader of Topic Field Knowledge Work (2017–) Key projects: CoMem, EPOS, ForgetIT, myRPA His research focuses on knowledge graph applications for corporate memory systems, combining context modeling with semantic desktop environments . He develops personal knowledge assistants that integrate information silos through evolving knowledge graphs , with recent work exploring LLM-based adaptive relevance prediction for entity recommendation systems. Scientific contributions include the LDK 2019 Best Research Paper Award and multiple ACM/IEEE/ESWC publications . His 2024–2025 articles examine context-aware recommendation systems for knowledge workers, cyber mapping financial systems , and real-life knowledge work datasets .

Mike Cookمشاهده پروفایل

مدرس ارشد

• Computational Creativity
• Artificial Intelligence in Game Design
• Procedural Generation
• +۴ مورد دیگر

Dr. Mike Cook is a Senior Lecturer in the Department of Informatics at King’s College London, focusing on computational creativity and artificial intelligence applications in game design. He studies how AI can autonomously create video games, blending software engineering, design, and human-computer interaction. At King’s, he leads the Human-Centred Computing Group as Deputy Head and contributes to the Arts & Creativity Hub, which explores informatics in creative domains like games and storytelling. Research Interests: Computational creativity, automated game design, procedural generation, generative software, and AI-human collaboration in creative processes. Key Projects: Creator of AI game design systems Angelina , Puck , and Pixie , which generate games from newspaper headlines, code-level mechanics, and narrative structures. Scientific Awards: Recipient of the Royal Academy of Engineering Research Fellowship for his work on automated game design and creative AI tools. Public Engagement: Regularly participates in events like New Scientist Live and co-founded PROCJAM , a procedural generation game development jam.

Soon Il Kwonمشاهده پروفایل

استاد

• Speech Recognition
• Emotion Recognition
• Audio Pattern Recognition
• +۳ مورد دیگر

Soon Il Kwon is a Professor in the Department of Software at Sejong University's College of Software Convergence in Seoul, South Korea. He leads the Interaction Technology Laboratory and has established himself as a prominent researcher in speech and audio processing with 46 research outputs spanning from 2002 to 2024. Department of Software, Sejong University College of Software Convergence, Sejong University Head of Interaction Technology Laboratory Dr. Kwon received his academic credentials from prestigious institutions: B.S. in Electronic Engineering from Yonsei University (1998) M.S. in Electrical Engineering from University of Southern California (2000) Ph.D. in Electrical Engineering from University of Southern California (2005) His research interests focus on the intersection of artificial intelligence and human communication, specializing in speech and audio signal processing for pattern recognition. He has pioneered work in emotion recognition from voice signals, user personality trait recognition, speech recognition for elderly populations, and heart disease classification through stethoscopic analysis. His work bridges technical innovation with practical applications that address real-world challenges in healthcare and human-computer interaction. Analysis of Dr. Kwon's recent publications reveals a clear research trajectory focused on advancing speech emotion recognition through deep learning techniques. His work demonstrates a progression from traditional machine learning approaches to sophisticated neural network architectures including CNNs, LSTMs, and attention mechanisms. The research spans multiple application domains including healthcare diagnostics, emergency response systems, and adaptive user interfaces, showing his ability to translate theoretical advances into practical solutions. His most recent work emphasizes efficiency and multimodal approaches to emotion recognition. Dr. Kwon's research contributes to several United Nations Sustainable Development Goals, particularly those related to good health and well-being, quality education, and industry innovation. His laboratory, the Interaction Technology Lab, focuses on AI-based speech/audio signal and information processing for human physical, mental and biological pattern recognition. The lab's research has practical implications for developing more intuitive human-computer interfaces and diagnostic tools.

Riccardo Lazzerettiمشاهده پروفایل

دانشیار

• Privacy-Preserving Technologies
• Secure Multi-Party Computation
• Biometric Security
• +۵ مورد دیگر

Riccardo Lazzeretti serves as Associate Professor at Sapienza University of Rome since September 2022, following progression from Assistant Professor roles (RTD-A/B) at the same institution from 2017-2022. His academic trajectory includes post-doctoral research at the University of Siena's VIPP group, a research grant at the University of Padua, and industry experience at Italian startup Cynny s.p.a. His educational foundation comprises: MSc in Computer Science Engineering, University of Siena (2007) PhD in Information Engineering, University of Siena (2012) Lazzeretti's research centers on privacy-preserving technologies with emphasis on Secure Multi-Party Computation for encrypted signal processing. His work spans biometric security (including multi-biometric authentication), IoT security protocols, blockchain applications in healthcare, and social network misinformation detection. Recent publications demonstrate deep integration of cryptographic techniques with machine learning for resource-constrained devices and critical infrastructure protection. Analysis of his 15 most recent publications reveals dominant trends in IoT/drone security (32% of works), browser/API vulnerabilities (13%), and privacy-preserving architectures (27%). His research consistently bridges theoretical cryptography with practical system implementations, particularly for emerging technologies like NDN and programmable data planes. His scholarly recognition includes: SIGMM Test of Time Paper Honourable Mention (2021) for Multimedia Security contributions IET Biometrics Premium Best Paper Award (2021) Lazzeretti has supervised graduate students at the University of Siena and secured research funding through collaborations with NATO's CMRE, Digital Catapult (UK), and IMT Lucca. Current projects include privacy-preserving consensus algorithms for IoT and blockchain-based health applications. He maintains active partnerships with European research entities including Centre for Maritime Research and Experimentation and Digital Catapult. His laboratory affiliations encompass the VIPP research group at University of Siena and ongoing collaborations with Sapienza's cybersecurity initiatives, focusing on cross-disciplinary teams integrating signal processing, cryptography, and machine learning expertise.

• Fashion Communication
• Inclusive Design
• Sustainability in Fashion
• +۴ مورد دیگر

Inês de Castro Vasconcelos Martins do Amaral is a Visiting Professor and researcher at University of Minho's School of Engineering, affiliated with the Center for Textile Science and Technology (2C2T). With a PhD in Textile Engineering and Master's/Bachelor's degrees in Fashion Communication and Design & Marketing, she specializes in inclusive design, sustainability, and digital transformation in fashion. Education: PhD in Textile Engineering (2016) Master's in Fashion Communication - Graphic Design and Multimedia (2011) Bachelor's in Fashion Design and Marketing (2009) Her research spans fashion communication , inclusion , and sustainability , with notable work on AI integration in fashion, accessible design for visually impaired users, and pedagogical innovation. Key article themes include: Generative AI in design education , inclusive fashion retail , and ethical brand storytelling . Scientific Honors: Pedagogical Merit Diplomas (2019-2024) 2009 Merit Scholarship She mentors graduate students in topics like digital fashion tools , sustainable fashion communication , and AI-driven design . Active in conference organization (WCCA, CIMODE) and peer review (Design Principles & Practices Journal).

Ann Therese Mausbachمشاهده پروفایل

دانشیار

• Educational Leadership
• Literacy Leadership
• Systems Change
• +۵ مورد دیگر

Ann Therese Mausbach, PhD, is an Associate Professor in Education at Creighton University's College of Arts and Sciences and Graduate School. Her expertise spans Educational Leadership , Literacy Leadership , and Systems Change , with a focus on curriculum design, instructional leadership, and school improvement processes. She serves as the Program Director for Educational Leadership. Research Interests : Dr. Mausbach's work emphasizes systemic educational reform through collaborative leadership, data-driven decision-making, and literacy initiatives. Her scholarship addresses curriculum alignment , professional development , summer learning programs , and inclusive practices . Publications & Presentations : With 15+ recent contributions, her work explores trends in school improvement , literacy leadership , technology integration , and special education . Notable themes include formative assessment , collaborative teaching strategies , and policy implementation . Current Role : As Program Director, she shapes graduate-level educational leadership training while maintaining active research and consulting in K-12 systems. Her email is AnnMausbach@creighton.edu .