جست‌وجوی استاد و پژوهشگر

• Computer Science Education
• Enrollment and Retention Analysis
• Computing Accreditation
• +۴ مورد دیگر

Stuart H. Zweben is a Professor at The Ohio State University’s College of Engineering, Department of Computer Science and Engineering. He has played a pivotal role in analyzing and improving computing education, with a focus on enrollment trends, retention strategies, and accreditation standards. His research spans demographic analysis, curriculum design, and data-driven educational policy, often collaborating with institutions like Northeastern University and Bluegrass Community and Technical College. Research Interests: Computer science education, enrollment and retention analysis, computing accreditation, gender representation, curriculum development, data flow analysis, program assessment. Career Highlights: Led ACM-NDC studies for over a decade, contributed to the growth of computer science education during enrollment surges, and served as a key figure in ACM leadership roles. Scientific Awards: Recipient of the ACM Fellows title (1998) and the Outstanding Contribution to ACM Award (1997), recognizing his leadership in software engineering and professional societies. His work has been cited over 41 times in studies addressing retention challenges in computing programs. Notable Publications: Recent studies (2024–2019) explore U.S. undergraduate computing enrollment/retention dynamics, pre-COVID vs. post-COVID educational trends, non-doctoral departmental viability, and the intersection of diversity and enrollment growth. These works emphasize data collection, institutional performance metrics, and policy recommendations. Grants & Collaborations: Worked with organizations like Google, Computing Research Association, and Bluegrass Community and Technical College on initiatives related to student retention and curriculum development. Leadership Roles: Former ACM President, Vice President, and key contributor to the Association’s bylaws, internationalization efforts, and publications review processes.

Ralf Hagemannمشاهده پروفایل

مدرس

• Embedded Systems
• Software Engineering
• Programming Education
• +۵ مورد دیگر

Ralf Hagemann is a Lecturer/Research Associate at Osnabrück University of Applied Sciences, specifically within the Faculty of Engineering and Computer Science . His academic work combines Embedded Systems , Software Engineering , and innovative teaching methods like Problem-Based Learning . He actively develops educational hardware and tools for engineering education. Embedded Systems Board design (STMNucleo32-Baseboard) Problem-oriented curriculum development for computer science students Qt-based visualization frameworks for algorithm training His research spans geometric algorithms (2013 dissertation), digital signal processing (1991 thesis), and domain-specific programming languages (1997 PIPL invention). Recent publications focus on multicultural engineering education and cost-effective product development . As a part-time faculty member , he leads technical workshops and contributes to European Project Semester initiatives. His 1991 Diplomarbeit at Fachhochschule Bielefeld laid foundations for his work in hardware-software integration . He regularly demonstrates his MpC-Bildschirmstellwerk software at international model railway exhibitions (2008-2016) and has published in journals like MIBA digital Extra and Eisenbahn Kurier .

Kurt Schmollerمشاهده پروفایل

پژوهشگر

• Cell Size Control
• Organelle Size Regulation
• Histone Homeostasis
• +۵ مورد دیگر

Dr. Kurt Schmoller is a Group Leader at Helmholtz Munich, heading the Schmoller Lab within the Institute of Functional Epigenetics (IFE). His research focuses on understanding how cells regulate their size, maintain organelle homeostasis during growth, and adjust protein composition according to cell size. The lab employs interdisciplinary approaches combining quantitative biology, live-cell microscopy, AI-based image analysis, and mathematical modeling. Dr. Schmoller received his Diploma in Biophysics from TU München (2004-2008), followed by PhD studies at TU München in Andreas Bausch's lab (2008-2012), where he studied the mechanics of in vitro reconstituted cytoskeletal networks. He then pursued postdoctoral research at Stanford University with Jan Skotheim (2012-2017), developing his interest in cell size regulation. Since 2017, he has led the 'Cell Size and Organelle Control' research group at Helmholtz Munich. His research spans four main areas: Maintenance and Adaptation of Cell Size, Histone Homeostasis, Mitochondrial DNA Maintenance, and AI for live-cell imaging data analysis. Using model organisms including budding yeast (S. cerevisiae) and green algae (C. reinhardtii), his lab investigates fundamental cellular processes that are broadly conserved across eukaryotes. His work has significant implications for understanding diseases like cancer where cell size regulation is often disrupted. Analysis of his recent publications reveals a strong focus on the relationship between cell size and various cellular processes, with particular attention to histone regulation, mitochondrial DNA homeostasis, and the development of AI tools for image analysis. His work bridges molecular biology, biophysics, and computational approaches to address fundamental questions in cell biology. Dr. Schmoller leads a diverse research team including postdocs, doctoral researchers, and technicians working across multiple projects. His lab has developed notable tools such as Cell-ACDC, an open-source software for bioimage analysis that has been adopted by multiple laboratories. The lab maintains strong collaborations across institutions and participates in the broader 'Epigenetics at Helmholtz Munich' initiative. The Schmoller Lab operates from the Neuherberg Campus (Building 35.26 / Room 014) and maintains an active presence through their lab website, BioRxiv, and GitHub repositories. Their work receives support from Helmholtz Munich's infrastructure and resources, including access to advanced microscopy facilities and computational resources for AI-based image analysis.

Gunter Saakeمشاهده پروفایل

استاد

• Databases
• Software Engineering
• Data Management on Modern Hardware
• +۷ مورد دیگر

Prof. Dr. Gunter Saake is a full professor for Databases and Information Systems at the Otto von Guericke University Magdeburg, where he has been since 1994. His research spans databases, software engineering, and digital systems, with a focus on modern hardware integration. His research interests include: Database operations on CPUs, GPUs, and emerging architectures Self-tuning database systems Feature-oriented software development (FOSD) Code quality in configurable software Adaptive information systems In his scientific contributions , he has explored rare pattern mining in large datasets and heterogeneous database adaptation. His recent work on micro-optimization for adaptive query execution highlights trends in hardware-aware database design. Awards : 1998 - Otto von Guericke Research Prize Editor of Database Spectrum Journal (since 2001) Member of DFG Review Boards (Computer Science & Medical Technology) Leadership roles include two deanships (1996-1998, 2012-2014) and vice rectorate for budgeting (2001-2005).

• Human-Computer Interaction
• User Interface Design
• 3D Modeling Software
• +۵ مورد دیگر

Benjamin J. Lafreniere is a researcher affiliated with the University of Waterloo, Ontario, Canada. His work spans Human-Computer Interaction (HCI) , 3D Design Software , and Extended Reality (XR) . He focuses on improving user experiences through innovative input techniques, error mediation, and adaptive interfaces.

• Database Systems
• Data Privacy
• Machine Learning
• +۴ مورد دیگر

Zhenjie Zhang is a Professor in the Department of Computer Science at East China Normal University's School of Computer Science and Software Engineering, with a distinguished research career spanning nearly two decades. His work bridges theoretical computer science with practical industrial applications, maintaining strong international collaborations with researchers from TU Wien, National University of Singapore, and industry partners including ByteDance. Dr. Zhang's research focuses on the intersection of database systems, machine learning, and industrial applications. His early work centered on database privacy and query processing, evolving toward causal inference, fault diagnosis systems, and industrial AI applications. His recent publications demonstrate a strategic shift toward solving real-world engineering problems using advanced machine learning techniques, particularly in manufacturing, transportation, and cloud systems. The consistent publication trajectory across top venues like IEEE TKDE, VLDB, and ACM Transactions shows sustained research excellence and adaptability to emerging technical challenges. His publication record reveals significant contributions to causal inference methods, evidenced by multiple papers on causal discovery and transfer learning. The research demonstrates practical impact through industrial collaborations, particularly in fault diagnosis systems for mechanical equipment and adaptive control for unmanned vehicles. The recent work shows increasing focus on deploying AI models efficiently in resource-constrained environments, reflecting awareness of practical implementation challenges. Dr. Zhang has mentored numerous junior researchers who have become active contributors in the field, including Ruichu Cai and Zining Zhang. His collaborative network spans multiple continents, indicating strong research leadership and international recognition. The consistent flow of publications in top venues suggests successful grant funding and research group management, though specific grant details aren't provided in the source material.

• Digital Rights Management
• Multimedia Content Management
• Healthcare Information Systems
• +۶ مورد دیگر

Jaime Delgado is a prominent researcher with over three decades of contributions to digital rights management, healthcare information systems, and security and privacy in eHealth. With an extensive publication record spanning from 1994 to 2025, Delgado has established themselves as a leading expert at the intersection of computer science and healthcare, developing practical frameworks that enhance security, privacy, and interoperability in medical systems. Delgado's research spans multiple critical domains: Digital Rights Management and Multimedia Content Security Healthcare Information Systems and eHealth Applications Security and Privacy in Medical Data Management Ontologies and Semantic Web Technologies for Healthcare Genomic Information Systems and FAIR Data Principles Trustworthy Media Systems and Provenance Tracking Analysis of recent publications (2021-2025) reveals a strategic shift toward healthcare applications, particularly focusing on security requirements for Internet of Medical Things (IoMT), privacy-enhancing techniques for medical data, and genomic information systems. Delgado's work demonstrates consistent development of practical architectures addressing real-world security challenges in healthcare settings, with increasing collaboration with medical professionals and participation in European health informatics initiatives like the MedSecurance Project. Delgado has received recognition for contributions to standardization efforts, particularly in developing frameworks for media trustworthiness and international standards for assessing trust in digital media. Their work on the JPEG Privacy and Security framework has significantly influenced industry practices. Through extensive collaboration with researchers like Silvia Llorente (43 joint publications), Eva Rodríguez (29 publications), and Rubén Tous (26 publications), Delgado has built a strong research network across European institutions. Their work consistently combines theoretical framework development with practical implementation considerations, addressing the critical balance between security requirements and clinical workflow usability. Delgado's laboratory work centers on developing secure frameworks for medical data management, with recent emphasis on genomic information systems, provenance tracking in eHealth, and security requirements for medical IoT devices. Their research group actively participates in European health informatics initiatives and contributes to international standards development, maintaining exceptional productivity with 4-7 publications annually in recent years.

• Virtual Reality
• Serious Games
• Human-Computer Interaction
• +۴ مورد دیگر

Helmut Hlavacs is a Professor at the University of Vienna's Faculty of Computer Science, with a distinguished career spanning over two decades in virtual reality, serious games, and human-computer interaction research. His work bridges computer science with psychological and medical applications, particularly in therapeutic contexts for children and adolescents. Dr. Hlavacs' research interests focus on virtual reality applications for healthcare, serious game design for therapeutic purposes, and innovative human-computer interaction techniques. His work demonstrates particular expertise in applying game technologies to address psychological conditions, medical treatments, and educational challenges. He has made significant contributions to VR therapy systems for anxiety disorders, stress management, and pediatric oncology support. Analysis of his recent publications reveals a strong trend toward integrating machine learning with virtual reality systems, developing novel game interfaces, and creating therapeutic applications for mental health conditions. His work spans technical computer graphics research, behavioral psychology studies, and practical healthcare implementations, demonstrating remarkable interdisciplinary reach. Dr. Hlavacs has collaborated extensively with medical researchers, particularly with Anna Felnhofer and Oswald D. Kothgassner on VR therapy applications, and with Amir Zaib Abbasi on consumer gaming behavior studies. His research has resulted in numerous serious games for healthcare applications, including systems for cancer patients, anxiety treatment, and vaccination communication. His laboratory work appears focused on developing the INTERACCT system for remote data entry by young leukemia patients, MindSpace for treating anxiety disorders in children, and various VR environments for therapeutic applications. Current projects indicate a strong emphasis on AI-driven game behavior, VR editor tools, and mobile gamification for behavioral change.

• Autonomous Systems
• Computer Vision
• Robotics
• +۳ مورد دیگر

Markus Enzweiler serves as Professor of Computer Science and Autonomous Systems and Director of the Institute for Intelligent Systems at Esslingen University of Applied Sciences, Germany, within the Department of Computer Science and Engineering. His leadership role positions him at the forefront of intelligent systems research in applied academic settings. His research spans autonomous systems, computer vision, and robotics with emphasis on visual-inertial SLAM, semantic segmentation, and collective perception. Key contributions address real-world challenges in unstructured environments like agricultural fields and urban settings through efficient perception systems. Recent work focuses on lightweight monocular solutions, sensor fusion techniques, and computational efficiency optimization for autonomous vehicles. Analysis of his 2024-2025 publications reveals strong trends in collective perception infrastructure, NeRF/Gaussian Splatting integration for SLAM, and multi-sensor dataset development. His research consistently benchmarks computational costs against accuracy improvements while creating valuable resources like the OPNV public transportation dataset and Rover multi-season SLAM corpus. As Director of the Institute for Intelligent Systems, Enzweiler leads initiatives advancing autonomous driving technologies through practical implementations and industry-relevant research frameworks.

• Battery Storage Systems
• Renewable Energy Integration
• Energy System Optimization
• +۳ مورد دیگر

Jonas van Ouwerkerk is a Researcher at the Chair for Electrochemical Energy Conversion and Storage Systems within the College of Engineering at RWTH Aachen University . He leads the Section Battery Grid Integration and Storage System Analysis , focusing on large-scale battery systems for energy trading and grid stability. Current research areas include Battery Storage Systems , Renewable Energy Integration , and Data-Driven Energy Modeling Key projects involve the CARL Center and 5 MW Battery Storage initiatives Recent publications highlight his work on optimizing battery operations, analyzing renewable investments for prosumers, and modeling grid-scale storage systems. He contributes to open-source energy system modeling frameworks and comparative studies of power system models. While no explicit scientific awards are documented in the provided texts, his leadership in battery integration projects underscores his significance in energy storage research.

• Ontology Mapping
• Linked Open Data
• Semantic Web Services
• +۴ مورد دیگر

Muhammad Ahtisham Aslam is an Associate Professor at the COMSATS Institute of Information Technology (CIIT) in Lahore, Pakistan. He completed his Ph.D. in Computer Science at the University of Leipzig in 2007 and holds an MS in Computer Science from Hamdard University , Pakistan (2002). Ph.D., Computer Science, University of Leipzig, Germany (2007) MS, Computer Science, Hamdard University, Pakistan (2002) His research interests focus on Ontology Mapping , Linked Open Data , Web 2.0 , and Integration Engineering . He has contributed to tools like the BPEL4WS 2 OWL-S Mapping Tool V1.1 and Intelligent Proxy Firewall Server , emphasizing semantic service composition and cybersecurity. His publications span topics from semantic web services to database synchronization, with key works at conferences like CSCWD 2011 and BPM 2006 . He has presented at venues including ISWC 2007 and ESWC 2006 , focusing on bridging business processes with semantic technologies. Scientific Awards : 13th All Pakistan Dr. Abdul Qadir Khan Research Laboratories Software Competition Award Partial Support Scholarship for Ph.D. studies abroad by Pakistan’s Higher Education Commission (HEC) He has taught courses such as Internet Applications (KAU, Saudi Arabia) and Component Software (CIIT, Pakistan), covering topics from Software Engineering to Semantic Web Services .

Ben van Lierمشاهده پروفایل

عضو هیئت علمی

• Blockchain Technology
• Cyber-Physical Systems
• Digital Ecology
• +۳ مورد دیگر

Ben van Lier is a Guest professor at Rotterdam University of Applied Sciences, specializing in Strategy & Innovation. His work bridges cutting-edge technologies like blockchain and cyber-physical systems with philosophical and ethical frameworks. Research Interests: Ben focuses on blockchain technology, self-organizing systems, and the ethical implications of autonomous cyber-physical systems. His scholarship integrates complexity science and digital ecology to explore decentralized governance, moral machine design, and systemic security in industrial IoT environments. Publication Trends: His recent work (2015-2022) examines blockchain’s role in enabling autonomous collaboration, ethical AI, and the philosophical dimensions of digital ecosystems. Key themes include consensus mechanisms, emergent behavior in CPS, and trust protocols in decentralized systems. Labs and Collaborations: He contributes to research initiatives at Rotterdam UAS, exploring the intersection of technology, ethics, and systemic resilience in digital industrial ecosystems.

Carsten Orwatمشاهده پروفایل

پژوهشگر

• Technology Assessment
• Artificial Intelligence
• Algorithmic Governance
• +۵ مورد دیگر

Dr. Carsten Orwat is a senior researcher at the Institute for Technology Assessment and Systems Analysis (ITAS) , part of the Karlsruhe Institute of Technology (KIT) , Germany. Since 2000, he has led interdisciplinary projects on technology assessment, focusing on digital technologies and societal change . Current research: Systemic risks of AI, algorithmic discrimination, digital governance Key projects: "Systemic Risks of Artificial Intelligence", "Governance of and through Algorithms", "Assessing Big Data" Published over 30 works across AI ethics, pervasive computing, and digital rights Research Interests : Orwat's work bridges technical and societal dimensions of emerging technologies, emphasizing: Ethical implications of algorithmic systems Policy frameworks for AI governance Human dignity in digital environments Big data's societal impacts Recent Publications (2024) : His latest contributions analyze systemic risks in AI, normative challenges in regulation, and algorithmic discrimination through a human dignity lens. Collaborations include researchers from law, computer science, and policy domains. Contact Details : Office: Karlstraße 11, 76133 Karlsruhe, Germany Email: orwat@kit.edu Phone: +49 721 608-26116

• Knowledge Management
• Convergent Systems
• E-Learning
• +۳ مورد دیگر

Markus Bick serves as a Junior Professor at ESCP Business School in Berlin, Germany, specializing in Business Information Systems. His academic position focuses on the intersection of information technology and business processes, with particular expertise in knowledge management, convergent systems, e-learning, and simulation technologies. As an active faculty member, he contributes significantly to research and teaching within the business informatics domain at one of Europe's leading business schools. Professor Bick's research interests span multiple interconnected domains within business information systems. His primary focus is Knowledge Management, where he has developed frameworks for sustainable implementation of organization-specific knowledge management systems, as evidenced by his 2004 dissertation from the University of Duisburg-Essen. He also explores Convergent Systems that integrate learning and business information systems, with particular attention to interface standards and integration strategies. His work in E-Learning demonstrates how educational technologies can be effectively embedded within business processes, while his research on Simulation approaches provides methods for modeling complex business scenarios. His publications consistently bridge theoretical frameworks with practical business applications. Analysis of Professor Bick's publication record reveals a clear research trajectory from foundational knowledge management work to increasingly sophisticated explorations of mobile and ubiquitous information systems. His early work focused on knowledge management implementation strategies and building block models, while more recent publications address mobile collaboration systems, ambient intelligence applications, and IT service management in educational institutions. A significant portion of his research investigates the convergence between learning systems and business information systems, particularly how knowledge management principles can enhance both educational and business processes. His work demonstrates consistent attention to practical implementation challenges alongside theoretical development. Professor Bick maintains an active research agenda with publications spanning from 2002 to 2010, showing continued scholarly productivity. His work appears in both academic journals and professional publications, indicating relevance to both theoretical and practical audiences. He has contributed to edited volumes including encyclopedias of business information systems and handbooks on information technologies for education and training, demonstrating recognition by his peers as an expert in his field.

Emanuel Kitzelmannمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Neurosymbolic AI
• +۴ مورد دیگر

Prof. Dr. Emanuel Kitzelmann is a Professor of Applied Artificial Intelligence at Brandenburg University of Technology and Scientific Director of the AI Laboratory since 2023. His work bridges classical symbolic AI and modern machine learning, with a focus on integrating Large Language Models (LLMs) with structured knowledge bases like knowledge graphs and ontologies to enable reliable, explainable AI. He co-leads the SCALE-C research project on secure AI content generation for cybersecurity and directs the SmartRetrieve project on GraphRAG for campus chatbots. University: Brandenburg University of Technology Department: Computer Science and Media Rank: Professor His research spans hybrid neurosymbolic AI, inductive program synthesis, and robotics as AI application areas. Recent publications explore hallucination mitigation in LLMs, RAG techniques, and AI educational tools. He actively collaborates with industry partners like membraPure and REMINE GmbH, supervising student projects in cybersecurity, chatbots, and image-based analysis. Key initiatives include workshops on machine learning with ZF Getriebe Brandenburg and program committee roles for ECAI 2025 and IJCLR 2025.