جستجوی استاد راهنمای دانشگاهی

Varish Mulwadمشاهده پروفایل

پژوهشگر

• Information Extraction
• Knowledge Graph Population
• Semantic Web
• +۴ مورد دیگر

Varish Mulwad is a Senior Scientist at GE Research with 14 years of experience in algorithm development and knowledge graph construction from structured/unstructured data. He holds a Ph.D. and M.S. in Computer Science from the University of Maryland, Baltimore County (UMBC), where he worked under Prof. Tim Finin and collaborated with Prof. Anupam Joshi, and a B.E. in Computer Engineering from University of Mumbai. Ph.D. & M.S. in Computer Science (UMBC) B.E. in Computer Engineering (University of Mumbai) His research focuses on semantic interpretation of tabular data through linked data frameworks, information extraction from unstructured text, and knowledge graph population using probabilistic reasoning and graphical models. He has pioneered domain-independent systems for table interpretation and developed novel methods for cloud SLA automation and cybersecurity threat detection via social media analysis. Recent work trends include: Context-aware web table annotation Relational table representation learning Linked data generation from spreadsheets Pre-training/fine-tuning paradigms for web tables Application of semantic web standards to cybersecurity He has led 3-4 member project teams in developing production-ready solutions, contributed to 19 peer-reviewed publications, and secured 7 patents with 900+ citations. During his academic tenure at UMBC's Ebiquity Research Lab, he co-developed the TABEL framework for table semantics inference and produced the first interactive system for meta-analysis report generation from linked data.

Christian Drummمشاهده پروفایل

استاد

• Business Information Systems
• SAP Systems
• Enterprise Resource Planning
• +۳ مورد دیگر

Prof. Dr. Christian Drumm is a Professor of Business Information Systems at the FH Aachen (Aachen University of Applied Sciences) within the Department of Economics. Since 2017, he has specialized in Business Administration, particularly Business Information Systems and SAP S/4HANA implementation. His academic journey includes a doctorate from the University of Karlsruhe completed in 2008 on the topic of “Improving Schema Mapping by Exploiting Domain Knowledge”. Dr. Drumm’s research spans two primary domains: SAP/ERP systems and educational technology. His work in Business Information Systems focuses on practical SAP S/4HANA implementation, ERP education, business process management, and logistics optimization. Simultaneously, he has conducted significant research on eye-tracking technology in educational contexts, particularly examining how visual attention patterns differ between experts and novices in programming education. His publication record reveals a clear trajectory from foundational research in schema matching and data migration (2014-2016) to practical SAP implementation guides (2019-2022), culminating in the 2024 official companion book for SAP S/4HANA. This evolution demonstrates his transition from theoretical computer science research to applied business information systems education. SAP Champion recognition Co-Founder of the ABAP CodeRetreat Former member of the SAP DACH Academic Board As an educator and consultant, Dr. Drumm bridges academia and industry through his podcast “Code and Context,” his consulting work with trans4mio, and his role as Coach at ASE Coaching. He leads the WiLMo project (Business Informatics Teaching and Learning Modules), a collaborative effort among six universities developing standardized digital teaching materials in business informatics. His current work emphasizes digital sovereignty, low-code/no-code platforms, and practical ERP implementation strategies.

• Information Integration
• Databases
• Knowledge Representation
• +۵ مورد دیگر

Jose Luis Ambite is an Associate Research Professor at the University of Southern California 's Viterbi School of Engineering , specializing in Computer Science . His work at the Information Sciences Institute (ISI) focuses on information integration, databases, and biomedical data science. Core Expertise: Query rewriting under constraints, schema mapping learning, entity linkage Research Interests: Knowledge representation, federated learning, genetics, and AI applications in health His research aligns with the Center on Artificial Intelligence Research for Health (AI4Health) , which develops AI solutions for biomedical challenges like causal link discovery from wearable sensor data, generative AI for targeted domains, and privacy-preserving federated learning. The center collaborates with USC's Keck School of Medicine, Norris Cancer Center, and external partners including Children’s Hospital of Los Angeles. Scientific awards include a Fulbright Scholarship , ISWC 2012 Best Research Paper Award , and Digital Government Research 2007 Best Paper Award . Contact: ambite@isi.edu | Office: ISI, 4676 Admiralty Way, Marina del Rey, CA

• Intercultural Communication
• Conflict Resolution
• Mediation Theory
• +۵ مورد دیگر

Prof. Dominic Busch holds a W3 professorship for Intercultural Communication and Conflict Research at the Universität der Bundeswehr München. He leads the Department of Interkulturelle Kommunikation und Konfliktforschung within the Faculty of Human Sciences. His academic career includes positions at the Europa-Universität Viadrina and University of Jyväskylä, alongside extensive editorial roles in intercultural studies. He earned a PhD (summa cum laude, 2004) and diploma from the Europa-Universität Viadrina, with research focused on intercultural mediation theory, post-qualitative methods, and cultural discourse analysis. Research interests span intercultural mediation, posthumanist theory, digital interculturality, and ethical frameworks. He has authored/edited over 130 publications including monographs like In the Dispositif of Intercultural Communication and The Routledge Handbook of Intercultural Mediation . His work bridges communication sciences, cultural theory, and conflict resolution, receiving awards such as the Mediations-Wissenschaftspreis 2004. Teaching includes graduate programs in intercultural communication and conflict studies, with courses on theoretical foundations, methodologies, and applied research. He actively serves on academic committees, including the Faculty Board, and chairs international conferences. His research teams explore emerging paradigms in intercultural studies, emphasizing post-qualitative approaches and interdisciplinary synergies.

• Intercultural Communication
• Conflict Resolution
• Mediation Theory
• +۴ مورد دیگر

Prof. Dominic Busch holds the W3 Chair in Intercultural Communication and Conflict Research at the Bundeswehr University Munich. He serves on the Faculty Council of the Faculty of Human Sciences and has held roles such as Dean of Studies and Internship Officer. His research focuses on intercultural communication, conflict resolution, and the theoretical foundations of mediation, with a particular interest in posthumanist and ecological turns in intercultural studies. Busch earned his Dr. phil. (summa cum laude) in 2004 from the European University Viadrina Frankfurt (Oder) for his work on intercultural mediation. His academic career includes junior professorships and international collaborations, including a visiting professorship at the University of Jyväskylä, Finland. His research interests span intercultural ethics, cultural theory, and interdisciplinary methodologies. Recent work explores post-qualitative research approaches and the intersection of intercultural sustainability with global ethics. He has authored 137+ publications, including monographs, edited volumes, and peer-reviewed articles. Awarded the Mediation Science Prize 2004, Busch is a member of organizations like the International Academy for Intercultural Research (IAIR) and serves as a peer reviewer for journals such as Language and Intercultural Communication . His teaching spans undergraduate and graduate courses in intercultural communication, theoretical reflections, and practical problem-solving. Busch’s work bridges academic research and practical applications, emphasizing the role of intercultural competence in contemporary societal challenges, including digital transformation and organizational dynamics.

• Business Process Management
• Process Mining
• Data Science
• +۳ مورد دیگر

Pnina Soffer is a Professor at the University of Haifa. She specializes in Business Process Management (BPM), Process Mining, and Information Systems. Her research focuses on process-aware systems, data impact analysis, and decision support mechanisms. She has contributed to advancing techniques for analyzing business processes, including workarounds detection, data inaccuracy mitigation, and process model quality improvement. Her work integrates interdisciplinary approaches, combining computer science with organizational behavior and healthcare informatics. She frequently collaborates with leading researchers in BPM and process mining, contributing to conferences like CAiSE and BPMDS. Her recent efforts emphasize the intersection of process mining with cybersecurity and human factors, exploring how cyber risks propagate through business processes and how facial expressions can predict task performance in process mining tasks. Key research areas include conceptual modeling, event log analysis, and the application of database principles to normalize process logs. Her work aims to bridge theoretical frameworks with practical applications, such as improving clinical decision support systems through layered guideline models and enhancing process robustness against data inaccuracies.

Samira Si-Said Cherfiمشاهده پروفایل

استاد

• Data Quality
• Conceptual Modeling
• Ontology Engineering
• +۵ مورد دیگر

Samira Si-Said Cherfi is a Professor at the Centre d'études et de recherche en informatique et communications (CEDRIC) within the Conservatoire National des Arts et Métiers (CNAM) in Paris. With a research career spanning over 25 years, she has established herself as a leading expert in data quality, conceptual modeling, and ontology engineering. Her work bridges theoretical computer science with practical applications in healthcare systems, business process management, and knowledge representation. Her research interests focus on data quality assessment , conceptual modeling methodologies , ontology engineering for complex systems , and cyber-physical security in healthcare infrastructures . She has pioneered approaches for evaluating RDF data completeness, developing quality metrics for conceptual schemas, and creating ontologies for healthcare security. Her work demonstrates how formal modeling techniques can solve real-world problems in information systems. Analysis of her recent publications reveals a strong trend toward cyber-physical security and healthcare information systems , where she applies semantic technologies to address cascading effects in critical infrastructures. Her work consistently connects theoretical foundations in conceptual modeling with practical applications in knowledge graphs and data integration. She has made significant contributions to understanding how OWL semantics can be effectively utilized in RDF-based knowledge graphs. As an active member of the academic community, she has served as guest editor for special journal issues and contributed to major international conferences including RCIS, CAiSE, and EDOC. Her leadership in the field is evident through her editorial roles and collaborative research projects. Professor Si-Said Cherfi leads research within the CEDRIC laboratory, specifically contributing to the 'Complex data, machine learning and representations' and 'Data mining and statistics' research teams. Her work often involves interdisciplinary collaboration with healthcare professionals, security experts, and industry partners to address complex challenges in information systems security and data quality.

Simon Wattمشاهده پروفایل

مدرس ارشد

• Sensorimotor Control
• Multisensory Integration
• 3D Vision
• +۳ مورد دیگر

Simon Watt is a Senior Lecturer in the Department of Psychology at Bangor University's School of Psychology and Sport Science. His research focuses on sensorimotor control, multisensory integration, and 3D vision, with applications to prosthetic limb design, virtual reality systems, and surgical robotics. PhD in Psychology from University of Surrey Postdoctoral research at UC Berkeley Joined Bangor University faculty in 2004 Director of the Cognitive Neuroscience Institute His work explores how humans control hands and tools in 3D space, examining whether tools become incorporated into body schema and how sensorimotor mechanisms adapt to different tool geometries. Key research areas include: Tool use and body schema modification Visual-tactile integration Reaching and grasping mechanics Stereoscopic display optimization Recent studies investigate the functional requirements for tool control resembling body parts, revealing both successful integration and surprising failures depending on tool properties. This aligns with his broader approach in 'Pasteur's Quadrant,' combining fundamental science with practical applications. Affiliation: Bangor University, School of Psychology and Sport Science, Department of Psychology

• Building Information Modeling
• Digital Twinning
• Information Management
• +۵ مورد دیگر

Prof. Dr.-Ing. Sebastian Esser serves as Group Lead for Information Management at the Chair of Computing in Civil and Building Engineering at Technical University of Munich. His research focuses on advancing Building Information Modeling (BIM) methodologies, particularly in infrastructure and railway applications. He contributes significantly to international standardization efforts including IFC-Road and IFC-Rail projects, and leads research initiatives such as RIMcomb and BauPuls360. Dr. Esser's research spans several critical areas in digital construction: Graph-based version control systems for BIM collaboration Digital twin development for infrastructure management Semantic modeling of built environments BIM-based regulation checking for railway infrastructure Interdisciplinary model coordination techniques Knowledge representation in civil engineering His work bridges theoretical computer science with practical civil engineering applications, focusing on improving data interoperability and workflow efficiency in construction projects. Analysis of his recent publications reveals a strong emphasis on graph-based approaches to BIM challenges. His research has evolved from foundational work on BIM programming interfaces to sophisticated implementations involving knowledge graphs, semantic reasoning, and digital twin architectures. Key trends include increasing integration of semantic web technologies with BIM standards, development of specialized query interfaces like GraphQL for construction data, and application of formal methods to infrastructure modeling problems. Dr. Esser actively supervises numerous bachelor's and master's theses annually, with recent topics covering graph-based entity alignment, BIM-GIS integration for flood assessment, incremental model updates, and digital twin implementations. His teaching portfolio includes courses such as Bau- und Umweltinformatik, BIM.fundamentals, BIM.infra, and Semantic Modeling of the Built World, demonstrating his commitment to educating the next generation of digital construction professionals. He is involved in multiple research initiatives including DFG FOR 5672 (The information backbone of robotized construction), SPP 2187 (Adaptive modularized constructions), and AM2PM (Additive to Predictive Manufacturing). His laboratory work spans the BIM-Lab and related computational infrastructure supporting his research in digital construction technologies.

Adrien Doerigمشاهده پروفایل

استاد مهمان

• Computational Neuroscience
• Cognitive Neuroscience
• Machine Learning
• +۵ مورد دیگر

Adrien Doerig is a Visiting Professor in the Department of Education and Psychology at Freie Universität Berlin, where he leads research in the Cognitive Computational Neuroscience Lab. He is also affiliated with the Bernstein Center for Computational Neuroscience. His work bridges cognitive science, computational modeling, and neural mechanisms of perception. Doerig's research focuses on the intersection of computational neuroscience and artificial intelligence, with particular emphasis on visual perception, consciousness, and the development of biologically plausible neural network models. His work explores how the brain processes visual information, with special attention to phenomena like crowding, feature integration, and the temporal dynamics of perception. He has made significant contributions to understanding the limitations of convolutional neural networks for modeling human vision and has pioneered work on topographic neural networks that better capture cortical organization. A key trend in Doerig's recent publications is the exploration of connections between language models and visual processing in the brain. His groundbreaking 2025 Nature Machine Intelligence paper demonstrated that large language model representations align closely with visual representations in the human brain, opening new avenues for using language-based AI in modeling biological visual processing. His work consistently challenges existing paradigms while developing more biologically plausible computational frameworks. Doerig teaches a wide range of courses including Master's in Cognitive Neuroscience, Probability and statistical modeling (both theoretical and practical with focus on ANNs and neuroimaging), Introduction to programming, Applied computational cognitive neuroscience, and specialized courses on vision, language, affective & social neuroscience, and consciousness. He also supervises graduate students through the Cognitive Computational Neuroscience Lab, which includes postdocs, predocs, master's students, and interns working on cutting-edge research questions at the intersection of cognitive science and machine learning.

Carolin Straßmannمشاهده پروفایل

مدرس

• Human-Computer Interaction
• Virtual Agents and Social Robots
• Long-term AI Interactions
• +۲ مورد دیگر

Dr. Carolin Straßmann is a Lecturer for Special Tasks at the Institute of Computer Science, Ruhr West University of Applied Sciences. She holds a PhD from the University of Duisburg-Essen where she previously served as a Research Assistant at the Chair of Social Psychology: Media and Communication. Concurrently, she participates in an industry placement at celano GmbH via the state program ‘Career Paths FH Professorship’. Her research centers on optimizing human-technology interaction, with emphasis on: Social effects of virtual agents and social robots Long-term AI-based interactions Nonverbal behavior and appearance dynamics Persuasive and positive impacts of innovative technologies She received notable scientific recognition including: Best Poster Award, Media Psychology Conference (2019) Best Student Paper Award, International Communication Association (2018) At her Human Factors & Gender Studies lab, she utilizes AR/VR systems, social robots, and behavioral research tools. She teaches courses in Applied Statistics, Usability Engineering, and Media Psychology, while supervising student projects.