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Andreea OnigaView profile

Assistant Professor

• Digital Marketing
• Digital Consumer Behaviour
• Social Media Marketing
• +5 more

Andreea Oniga is an Assistant Professor in Digital Marketing at Edinburgh Business School, Heriot-Watt University, UK, a position she has held since January 2024. She is affiliated with the School of Social Sciences and actively contributes to teaching, research, and academic leadership. She currently serves as Programme Director for the MSc Digital Marketing and MSc Digital Marketing with Advanced Practice programs. Her educational background includes a PhD and an MLitt in Marketing from the University of St Andrews. She is a Fellow of the Higher Education Academy and holds a PGCert in Higher Education Teaching, underscoring her commitment to academic excellence. Her research centers on digital marketing , digital consumer behaviour , social media message strategies , online communities , and sustainable behaviour . She explores how digital platforms influence consumer decisions and how marketing can promote environmentally responsible actions. Her work bridges academic theory and industry practice, particularly in digital strategy and customer experience. The recent publications reflect a strong focus on digital research infrastructure, crowdfunding for social sciences, sustainable consumption, and marketing communications. Her work spans interdisciplinary themes including behavioral science, education, and digital innovation, often employing qualitative and user-centered research methods. Her scientific recognition includes: Fellow of the Higher Education Academy She has supervised academic projects and received funding through a Knowledge Transfer Partnership (KTP), demonstrating strong industry collaboration. She is currently accepting PhD students and continues to lead impactful research aligned with UN Sustainable Development Goals. Her teaching includes digital marketing, analytics, and customer experience courses. She is actively involved in research networks and has contributed to initiatives such as the TRIPLE project, focusing on open science and researcher needs across Europe.

Julian MatthewmanView profile

Research Fellow

• Electronic health records
• Epidemiology
• Pharmacoepidemiology
• +7 more

Dr. Julian Matthewman is a Research Fellow in the Department of Non-communicable Disease Epidemiology within the Faculty of Epidemiology and Population Health at the London School of Hygiene & Tropical Medicine (LSHTM). He is also an academic liaison for the Alan Turing Institute, the UK's national institute for data science and artificial intelligence, and serves as a theme lead for LSHTM's Centre for Data and Statistical Science for Health (DASH). Dr. Matthewman completed his medical degree at the Medical University of Vienna, followed by an MSc and PhD in Epidemiology at LSHTM. His educational background reflects a strong foundation in both clinical medicine and epidemiological research methods. As a clinically-trained epidemiologist, Dr. Matthewman focuses on electronic health records research related to non-communicable diseases, with particular emphasis on skin and inflammatory conditions including eczema and psoriasis. His work spans multiple areas including pharmacoepidemiology, mental health comorbidities in dermatological conditions, and methodological research for electronic health record analysis. His research often involves large-scale population studies using UK primary care data. His publication record demonstrates a consistent focus on methodological rigor in electronic health record research, with recent work examining comorbidities in atopic eczema, developing codelists for routine health data research, and investigating medication safety. His articles frequently address the intersection of dermatology, epidemiology, and data science, with notable contributions to understanding the broader health implications of skin conditions. Dr. Matthewman actively contributes to education by organizing the short course "Introduction to Pharmacoepidemiology" and teaching on courses including "Analysis of Electronic Health Records" and "Data Challenge". He supervises summer projects for MSc Epidemiology and MSc Health Data Science students and organizes LSHTM's R user group, supporting computational skills development within the institution. His work spans multiple collaborative projects, particularly those involving the Alan Turing Institute and LSHTM's Centre for Data and Statistical Science for Health. He has developed numerous codelists and computational tools that support reproducible research in electronic health records, contributing significantly to methodological standards in the field.

Marina UngerView profile

Researcher

• Archaeology
• History of Archaeology
• Media in Archaeology
• +4 more

Marina Unger is a scientific collaborator at the Photographic Collection of the Bibliotheca Hertziana – Max Planck Institute for Art History since February 2025. She studied Classical Archaeology and Art History at Philipps University of Marburg, University of Naples ‘L'Orientale’, and Humboldt University of Berlin, earning a Magister Artium in 2010. In 2020–2021, she completed a Master’s degree in Literary Translation for Italian at Ludwig Maximilian University in Munich. Her current doctoral thesis focuses on Greek vase drawings within the archaeological apparatus of the Instituto di Corrispondenza Archeologica in Rome. Education: Magister Artium (Humboldt University, 2010), Master’s in Literary Translation (LMU Munich, 2021) Her research bridges archaeology , media history , and archival studies , emphasizing nineteenth-century documentation practices like vase drawings and early photography. She contributes to provenance research and digital humanities projects. Recent work includes the DFG-funded Gelehrte, Ausgräber und Kunsthändler project, analyzing the networks of the German Archaeological Institute through correspondence and linked data infrastructure. Collaborations span institutions like the German Archaeological Institute (DAI) and Scuola Normale Superiore in Pisa, with publications on Etruscan tomb paintings, Greek vases, and antiquities trade dynamics. Prior roles include: student assistant at Bildarchiv Foto Marburg, IT department member at Kunsthistorisches Institut in Florence, and research assistant at DAI Archives in Berlin. She has also worked as a freelance translator/editor and project manager.

Andrew NgView profile

Adjunct Professor

• Artificial Intelligence
• Machine Learning
• Robotics
• +4 more

Andrew Ng is an Adjunct Professor at Stanford University's Computer Science Department and a globally recognized leader in AI. He is the Founder of DeepLearning.AI, Executive Chairman of LandingAI, General Partner at AI Fund, and Co-Founder of Coursera. His work has revolutionized machine learning and online education, with over 200 research papers in AI, robotics, and related fields. He was named to the 2023 Time100 AI list of most influential figures in AI. Ng's research focuses on machine learning, deep learning, reinforcement learning, and their applications in robotics and education. He pioneered the development of massive open online courses (MOOCs), notably through Stanford's early experiments in 2011 that attracted hundreds of thousands of learners. His contributions include foundational work in algorithms like Latent Dirichlet Allocation (LDA) for text analysis and advancements in spectral clustering and inverse reinforcement learning. His publications span topics from robotic hand design to scalable deep learning systems, emphasizing practical and scalable solutions. Ng's educational initiatives, such as the Machine Learning and Deep Learning Specializations, have educated millions worldwide. He advocates for accessible AI education and ethical AI development, emphasizing collaboration between academia and industry.

Leona WiegmannView profile

Associate Professor

• Management Control
• Digitalisation in Accounting Practices
• Performance Management
• +3 more

Leona Wiegmann is an Associate Professor of Management Control at ESCP Business School in Paris. Her research examines how digitalization reshapes accounting practices, focusing on tensions between technology and human actors, evolving roles of management accountants, and external stakeholder engagement. She employs qualitative methods like field studies, vignettes, and netnography to explore forecasting, performance management, and accountability. Previously, she held faculty positions at WHU – Otto Beisheim School of Management (Germany) and Monash University (Australia). Open to supervising PhD students, her work appears in journals such as Contemporary Accounting Research and Accounting, Auditing & Accountability Journal . Education: PhD from WHU – Otto Beisheim School of Management Key Research Themes: Digitalization in Accounting, Organizational Dynamics, Qualitative Methodologies Her articles analyze topics ranging from proxy advisor accountability to information search during crises, reflecting her focus on real-world organizational challenges. While no scientific awards are listed, her contributions to accounting and organizational studies literature highlight her scholarly impact.

• mHealth Application Development
• Ontology
• Machine Learning
• +3 more

Daniel Campbell is a Lecturer in Web Development & Web AI at the Computer Science department of Edge Hill University. His work contributes to UN Sustainable Development Goals related to health and innovation. He is affiliated with the Centre for Intelligent Visual Computing and the Data and Complex Systems Research Centre. Education: He completed his Doctoral Thesis in 2018 titled 'An Ontology-Driven Approach To Personalised mHealth Application Development' under supervisors E. Pereira, G. McDowell, and C. Balakrishna. Research focuses on mHealth applications, ontology-driven frameworks, machine learning for health monitoring, and software engineering practices like bug prediction and open-source repository analysis. Recent projects include a Knowledge Exchange initiative with the water industry (2024-2026) as a Co-Investigator. His articles explore topics ranging from accelerometer-based elderly activity prediction to automated classification of software repository messages. Collaborations span institutions globally, with active engagement in topics like healthcare technology and user-centric design.

• System Safety
• Human Factors
• Risk Assessment
• +6 more

Dr. Gulsum Kubra Kaya is a Lecturer in Human Factors at the Centre for Safety & Accident Investigation at Cranfield University. She is a Chartered member of the Chartered Institute of Ergonomics and Human Factors Society (C.Erg.HF) and a Fellow of the Higher Education Academy (FHEA). Dr. Kaya holds a BEng in Industrial Engineering from Sakarya University, an MSc in Systems Engineering Management from University College London, and a PhD in Engineering from the University of Cambridge. Her academic journey includes prior roles as a Lecturer and she earned the title of 'Associate Professor' in Industrial Engineering in 2022. Her research focuses on system safety, human factors, risk assessment, machine learning applications, and decision-making in complex systems. Her work spans various domains including healthcare, transportation, and industrial settings. She is particularly interested in: Air Transport Safety & Investigation Industrial Ergonomics and Human Factors Safety, Resilience, Risk & Reliability Systems Engineering approaches to safety Her recent publications demonstrate a strong focus on applying systems thinking and advanced analytical methods to safety challenges. She has published extensively on topics such as Safety-I and Safety-II approaches, machine learning applications in healthcare safety, risk assessment practices in hospitals, and system-based risk analysis in transportation systems. Dr. Kaya serves on the editorial board of the Ergonomics journal and is an associate editor at the Risk Management and Healthcare Policy Journal. She also serves on the editorial board at the BMJ Health & Care Informatics Journal. She is actively involved in research on safety in liquid-hydrogen-powered aircraft operations and bacteria-type detection. Dr. Kaya is open to supervising PhD students interested in system safety research.

Sébastien CaquardView profile

Professor

• Cartography
• Story Mapping
• Geovisualization
• +4 more

Sébastien Caquard is a Professor in the Department of Geography, Planning and Environment at Concordia University, Montréal (Tiohtià:ke). His research bridges Cartography and Oral History , focusing on mapping stories to explore relationships between places, narratives, memories, and maps. Founder and Director of the Geomedia Lab , leading development of the open-source Atlascine mapping application Principal Investigator for projects like (Re)tracer la mémoire cartographique (SSHRC 2023-28) and Enhancing Atlascine Mapping Platform (CANARIE 2018-23) Co-applicant for Indigenous Stewardship of Environment and Alternative Development (INSTEAD 2020-26) Key Research Areas : Story Mapping & Narrative Cartography Geoweb & Digital Humanities Oral History & Memory Studies Decolonial & Indigenous Cartography GIS & Environmental Impact Assessment Interactive Atlases & Emotional Mapping Recent Collaborations : Co-organized exhibitions and workshops on Rwandan life stories, Indigenous cartographies, and mapping difficult narratives with institutions like the Centre for Oral History and Digital Storytelling (COHDS) and international conferences.

Erik LinsteadView profile

Associate Professor

• Machine Learning
• GPU Programming
• Autism Spectrum Disorder
• +5 more

Dr. Erik Linstead is an Associate Professor and Senior Associate Dean at Chapman University, affiliated with the Fowler School of Engineering, School of Pharmacy, and George L. Argyros College of Business and Economics. His expertise spans Machine Learning, GPU Programming, Autism Spectrum Disorder, Assistive Technologies, Predictive Analytics, and Virtual Reality. Education: Bachelor of Science, Chapman University Master of Science, Stanford University Ph.D., University of California, Irvine Dr. Linstead's research integrates machine learning with diverse domains, including autism treatment, environmental monitoring, and software engineering. His recent publications focus on coral reef health, land surface temperature trends, and embedded machine learning systems. His scholarly work includes collaborations in remote sensing, medical informatics, and neurodiversity support. Articles highlight his interdisciplinary approach, applying AI to ecological challenges (e.g., Red Sea coral reefs, Nile Basin droughts) and human-centered technologies (e.g., VR therapy for autism, medication adherence analysis).

Fabrizio RiguzziView profile

Professor

• Logic Programming
• Statistical Relational Artificial Intelligence
• Probabilistic Logic Programming
• +3 more

Fabrizio Riguzzi is a Full Professor at the Department of Mathematics and Computer Science of the University of Ferrara, Italy. His academic career spans over two decades at the same institution, having served as Associate Professor (2014-2020) and Assistant Professor/Ricercatore (1999-2014). He is an active researcher in the fields of Logic Programming and Statistical Relational Artificial Intelligence with numerous publications and leadership roles in international conferences. His educational background includes: PhD in Electronic and Computer Engineering from the University of Bologna (1999) Laurea in Computer Engineering from the University of Bologna (1995) Riguzzi's research focuses on probabilistic approaches to artificial intelligence, particularly probabilistic logic programming and statistical relational AI. His work bridges symbolic reasoning with probabilistic methods, developing frameworks for uncertain knowledge representation and reasoning. He has made significant contributions to probabilistic answer set programming, neuro-symbolic integration, and applications in areas like network intrusion detection and knowledge graph completion. His research demonstrates how logical formalisms can be enhanced with probabilistic reasoning to tackle real-world problems with uncertainty. An analysis of his recent publications reveals a strong trend toward integrating neural and symbolic approaches in AI, with significant work on probabilistic answer set programming frameworks. His research spans theoretical foundations of probabilistic logic programming, practical implementations, and applications in cybersecurity, knowledge graphs, and decision-making under uncertainty. The interdisciplinary nature of his work connects computer science theory with practical AI applications. His notable awards include: Alain Colmerauer 10-Year Test-of-Time Award at ICLP 2021 Best Paper Award for "BUNDLE: A Reasoner for Probabilistic Ontologies" at RR-2013 Highly Commended Paper Award for "Probabilistic declarative process mining" at KSEM 2010 Riguzzi has supervised several PhD students to completion, including Elena Bellodi, Riccardo Zese, and Giuseppe Cota, who have gone on to win prestigious awards for their theses. He has served in numerous editorial roles, including Associate Editor of the Journal of Artificial Intelligence Research and Editor in Chief of Intelligenza Artificiale. His leadership extends to organizing major conferences like ILP 2018 and serving on program committees for top AI venues including IJCAI, AAAI, and ECAI. He is a member of the ML@unife research group and has developed several online systems including cplint, TRILL, and an Online AUC calculator. His work has fostered collaborations across the AI research community, particularly in the areas of probabilistic logic programming and neuro-symbolic AI.

Benjamin EvansView profile

Assistant Professor

• Computational Neuroscience
• Spiking Neural Networks
• Convolutional Neural Networks
• +7 more

Dr. Benjamin Evans is an Assistant Professor in Computer Science & AI (Informatics) at the University of Sussex , affiliated with the School of Engineering and Informatics . His research integrates computational neuroscience and artificial intelligence, focusing on biologically inspired neural networks. Current Position: Assistant Professor, Department of Informatics, University of Sussex Previous Roles: Research Associate at University of Bristol, University of Exeter, Imperial College London, and University of Oxford Education: DPhil in Computational Neuroscience (University of Oxford), MSc in Intelligent Systems (UCL), BA in Experimental Psychology (Oxford) His research centers on how neural systems self-organize to produce intelligent behavior, studied through both biological and computational modeling. He investigates spiking neural networks , convolutional neural networks , and the role of biological constraints in enhancing AI robustness and human-like perception. He is particularly interested in how spike-based information processing contributes to adaptive cognition in noisy environments. His recent publications reveal a strong trend in evaluating deep neural networks as models of human vision, questioning their biological plausibility while proposing bio-inspired improvements. He also works on optogenetics simulation (e.g., PyRhO platform), developmental biology modeling , and reproducible data science through containerization tools like Docker. His scientific contributions have been recognized through publications in high-impact journals such as Nature Communications , PLoS Computational Biology , and Behavioral and Brain Sciences . EPSRC Grant: "Exploring the multiple loci of learning and computation in simple artificial neural networks" (2023–2024) EPSRC Grant: "Using ant biology and natural environments to enhance models of vision and robot navigation" (2022–2026) Dr. Evans actively contributes to open science through GitHub repositories (e.g., PyRhO, DPE, BioNet) and promotes reproducible research. He has no listed advisees in the provided data, but leads funded research projects involving junior researchers. He is a core member of the Informatics research group at Sussex, contributing to both AI and neuroscience domains.

Kelsey CanadaView profile

Assistant Professor

• Developmental Cognitive Neuroscience
• Memory Development
• Hippocampal Development
• +7 more

Kelsey Canada is an incoming Assistant Professor in the Department of Psychological and Brain Sciences at the University of Massachusetts Amherst, starting Fall 2025. She is based in Tobin Hall and will lead a research program focused on developmental cognitive neuroscience. Her research centers on understanding how memory and brain development, particularly in the hippocampus, evolve during childhood and adolescence. She examines how socioeconomic factors influence neurodevelopment, using interdisciplinary methods including MRI , EEG , behavioral testing , and structural equation modeling . Her work emphasizes representative sampling and data integration to uncover modifiable risk and protective factors. Dr. Canada's recent publications highlight her leadership in hippocampal subfield research, quality control in neuroimaging, and collaborative data practices. Her work spans developmental trajectories, methodological innovation, and social determinants of brain health. She earned her PhD from the University of Maryland, College Park, and is establishing her lab at UMass Amherst. Prospective students are encouraged to contact her directly. Research Areas: Developmental Science, Neuroimaging, Cognitive Development Affiliation: Department of Psychological and Brain Sciences, UMass Amherst Dr. Canada has been involved in major collaborative initiatives, including the Hippocampal Subfields Group, and her research is supported by recent publications in top journals such as Human Brain Mapping , Hippocampus , and Developmental Cognitive Neuroscience . While no formal grants or advising roles are listed yet, her active publication record and lab formation indicate a growing research program.

Kaiyi JiView profile

Assistant Professor

• Large-scale optimization
• Machine learning
• Multi-task learning
• +6 more

Kaiyi Ji is an Assistant Professor in the Department of Computer Science and Engineering at the University at Buffalo, SUNY. He earned his PhD in Electrical and Computer Engineering from Ohio State University in 2021 and completed a postdoctoral fellowship at the University of Michigan. His research focuses on large-scale optimization, machine learning, and foundation models. PhD: Electrical and Computer Engineering, Ohio State University (2021) Postdoc: University of Michigan (2022) BSc: University of Science and Technology of China (2016) Research interests include bilevel optimization, multi-task learning, continual learning, and AI4Science, with applications in robotics and crystal property prediction. Recent work explores efficient algorithms for LLM training and optimization. His publications span top venues like ICLR, ICML, NeurIPS, and IEEE Transactions on Information Theory. He received the CSE Junior Faculty Research Award (2023) and NSF CAREER Award (2025). He advises PhD students and actively participates in departmental service as Associate Chair for Graduate Student Admissions and organizer of academic workshops.

Thomas StäckerView profile

Professor

• Digital Humanities
• Library Science
• Digitization of Early Printed Books
• +7 more

Prof. Dr. Thomas Stäcker is a Part-time Professor for Digital Humanities at the Department of Information Sciences, University of Applied Sciences Potsdam. He serves as Director of the University and State Library Darmstadt (since 2017) and Deputy Director of the Herzog August Library Wolfenbüttel (since 2009). His career spans roles as a librarian at Herzog August Bibliothek (since 1998) and Johannes a Lasco Library in Emden (1997-1998). Education: Master's degree in History of Philosophy and Latin (1991), doctorate (1994) from TU Braunschweig, University of Essex, and University of Osnabrück Research: Digital Humanities, digitization of early printed books, XML/TEI encoding, OCR technologies, and cultural heritage preservation Leadership: Key roles in major digitization projects (e.g., VD17, Dünnhaupt Digital) and digital library development His work bridges library science with scholarly research, emphasizing open access, digital editions, and metadata standards. He has authored/co-authored numerous monographs, including the 2015 'Grenzen und Möglichkeiten der Digital Humanities' and the 2016 Festschrift chapter on open access. Stäcker co-edited digital editions like Christoph Heidmann's Oratio de Bibliotheca Julia (2013) and maintained active engagement through blogs like 'dhd-blog.org' (2015 post on humanities research data).

• Medieval Literature
• Digital Humanities
• German Studies
• +4 more

Manfred Kern serves as Professor and Head of the Department of German Studies at Paris Lodron University Salzburg. With an extensive publication record dating back to 1995 and continuing through 2025, he maintains an active research profile in medieval literature and digital humanities. His leadership role as department head and project manager for significant research initiatives demonstrates his standing within the academic community. Professor Kern's research interests center on medieval literary cultures, particularly through the lens of digital humanities. His work on the Wenceslas Bible represents a significant interdisciplinary contribution, combining traditional philological approaches with cutting-edge computer vision techniques. His recent editorial work on disability representation in art ( Kunst und Gebrechen ) demonstrates expanding scholarly interests at the intersection of cultural history and visual studies. His research consistently bridges historical scholarship with contemporary methodological innovations. Kern's publication trends reveal a strategic evolution from traditional literary studies toward digital humanities applications. His most recent work (2024-2025) shows a strong emphasis on computational analysis of historical manuscripts, particularly the Wenceslas Bible project, while simultaneously developing theoretical frameworks for understanding disability representation in historical art contexts. This dual focus represents a sophisticated integration of technical and humanistic approaches to cultural heritage. As project manager for significant research initiatives including WB-DEA (The Wenceslas Bible - Digital Edition and Analysis, 2022-2024), TALC_ME (Textual and Literary Cultures in Medieval Europe, 2014-2017), and ALIENA (Old literature re-aestheticized in the experience space, 2010-2013), Professor Kern has secured substantial research funding and built collaborative networks across institutions. His organizational role in numerous academic events, including the IZMF lecture series and the In Nomine conference on medieval naming practices, further demonstrates his leadership in the field. Professor Kern actively participates in departmental and university governance, serving on habilitation committees and appointment committees (Berufungskommission). His academic service extends to editorial work and conference organization, reflecting his commitment to scholarly community building. His leadership of the German Studies department at Paris Lodron University Salzburg positions him at the center of academic activity in his field.