جستجوی استاد راهنمای دانشگاهی

Marina Ungerمشاهده پروفایل

پژوهشگر

• Archaeology
• History of Archaeology
• Media in Archaeology
• +۴ مورد دیگر

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 Ngمشاهده پروفایل

استاد مدعو

• Artificial Intelligence
• Machine Learning
• Robotics
• +۴ مورد دیگر

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 Wiegmannمشاهده پروفایل

دانشیار

• Management Control
• Digitalisation in Accounting Practices
• Performance Management
• +۳ مورد دیگر

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
• +۳ مورد دیگر

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
• +۶ مورد دیگر

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 Caquardمشاهده پروفایل

استاد

• Cartography
• Story Mapping
• Geovisualization
• +۴ مورد دیگر

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 Linsteadمشاهده پروفایل

دانشیار

• Machine Learning
• GPU Programming
• Autism Spectrum Disorder
• +۵ مورد دیگر

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 Riguzziمشاهده پروفایل

استاد

• Logic Programming
• Statistical Relational Artificial Intelligence
• Probabilistic Logic Programming
• +۳ مورد دیگر

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 Evansمشاهده پروفایل

استادیار

• Computational Neuroscience
• Spiking Neural Networks
• Convolutional Neural Networks
• +۷ مورد دیگر

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.

• Telecommunications
• Wireless Sensor Networks
• Air Quality Monitoring
• +۷ مورد دیگر

Alexandre Manuel de Castro Passos de Almeida is an Assistant Professor in the Department of Information Science and Technology at the University Institute of Lisbon (ISCTE-IUL), where he also contributes to the School of Technology and Architecture. He is an Associate Researcher at the Institute of Telecommunications - IUL, actively involved in the Radio Systems Group, focusing on telecommunications and sensor-based environmental monitoring. PhD in Telecommunications, ISCTE-IUL, 2012 His research interests span telecommunications, wireless sensor networks, air quality monitoring, computer architecture, and robotics. He has led and contributed to innovative projects such as ExpoLis, which uses mobile sensor networks on public buses to map urban air pollution. His work bridges engineering and environmental science, aiming to influence urban policy and public health through real-time data systems. The most recent publications highlight a strong trend toward deploying low-cost, mobile sensor networks for environmental monitoring, particularly in urban settings. His work integrates computer systems, signal processing, and sustainable technology, with applications in smart cities, public health, and robotics. Topics like air quality mapping, energy harvesting, and noise-aware robot navigation reflect a multidisciplinary approach to solving real-world problems. He has advised seven Master’s students at ISCTE-IUL, guiding research in sensor networks, air pollution, database performance, robotic navigation, and personal photography assistants. While no specific scientific awards are listed, his contributions to funded research projects and consistent scholarly output indicate recognition in his field. He has held leadership roles in academic governance, including Vice President of the Pedagogical Council, underscoring his institutional engagement. His teaching portfolio includes core courses such as Fundamentals of Computer Architecture, Operating Systems, and Big Data Processing, delivered across multiple undergraduate and postgraduate programs. He is involved in research projects that combine academic innovation with practical urban applications, particularly through the deployment of scalable, open-source environmental sensing systems.

Kelsey Canadaمشاهده پروفایل

استادیار

• Developmental Cognitive Neuroscience
• Memory Development
• Hippocampal Development
• +۷ مورد دیگر

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.

Felix Rauمشاهده پروفایل

پژوهشگر

• Research Data Management
• Digital Humanities
• Language Documentation
• +۴ مورد دیگر

Felix Rau is a Researcher at the Data Center for the Humanities (DCH) at the University of Cologne, specializing in research data management, digital archiving, and language documentation. His work focuses on developing infrastructure, standards, and workflows for preserving and managing humanities research data, with particular expertise in audiovisual language resources. His research interests span research data management in the humanities, digital archiving practices, metadata standards for linguistic resources, and Austroasiatic language documentation. Rau has contributed significantly to establishing best practices for file naming, folder structures, README documentation, and data storage in research environments. His work bridges technical infrastructure development with linguistic research needs, particularly in the domain of endangered language documentation. Rau's publication trends reveal a strong focus on practical research data management solutions for humanities scholars. His recent work emphasizes dark and cold archiving services, metadata standards for audiovisual language data, and workflow development for research data preservation. He has been instrumental in developing the institutional research data infrastructure at the University of Cologne, with particular attention to the needs of language documentation researchers. As an active member of several professional organizations including the Digital Endangered Languages and Musics Archives Network (DELAMAN), Working Group Open Language Archives (OLAC), Metadata Research Data Alliance (RDA), and CLARIN Component Metadata Infrastructure (CMDI) Task Force, Rau contributes to shaping international standards for research data management in the humanities. He regularly teaches workshops on research data management for humanities scholars through the a.r.t.e.s. Graduate School and offers Master's level instruction in research data management. His educational efforts focus on practical implementation of research data management principles, helping humanities researchers navigate the complexities of digital preservation and data sharing requirements. Rau maintains an active presence in the research data management community through conference presentations and collaborative projects focused on developing sustainable infrastructure for humanities research data.

Kaiyi Jiمشاهده پروفایل

استادیار

• Large-scale optimization
• Machine learning
• Multi-task learning
• +۶ مورد دیگر

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 Stäckerمشاهده پروفایل

استاد

• Digital Humanities
• Library Science
• Digitization of Early Printed Books
• +۷ مورد دیگر

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
• +۴ مورد دیگر

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.