جستجوی استاد راهنمای دانشگاهی

• Marketing Analytics
• Electronic Commerce
• Online Advertising
• +۱۱ مورد دیگر

Prof. Dr. Bernd Skiera holds the first chair for electronic commerce in Germany at Goethe University Frankfurt am Main since 1999. He serves on the board of efl - The Data Science Institute and the Schmalenbach Society, while representing Germany at the European Marketing Community (EMAC). Chair of Marketing, Goethe University Frankfurt am Main Board member, efl - The Data Science Institute National representative, European Marketing Community (EMAC) His research focuses on MarTech/SalesTech integration, customer value management, online advertising analytics, data-driven pricing models, and the economic implications of internet privacy regulations. He leads the ERC Advanced Grant project on cookie usage restrictions' economic consequences. Recent publications examine dynamic pricing in digital markets, competition visualization using big data, and AI applications in marketing analytics. The ERC Advanced Grant research has produced empirical analyses of GDPR impacts on advertising ecosystems. 2015 Journal of Marketing Best Paper Award 2013 International Journal of Research in Marketing Best Paper Award Multiple MSI/H. Paul Root Award recognitions He has mentored 17 doctoral students who became professors globally, including at London Business School and LMU Munich. His work bridges marketing analytics with financial valuation through customer equity modeling.

• Machine Learning Ethics
• Philosophy of Science
• Interpretability in AI
• +۵ مورد دیگر

Thomas Grote is a Research Fellow at the University of Tübingen's Ethics and Philosophy Lab within the Cluster of Excellence 'Machine Learning: New Perspectives for Science'. His research focuses on philosophical and ethical dimensions of artificial intelligence, particularly interpretability, fairness, and reliability in medical and social contexts. He co-supervises the Carl-Zeiss-Stiftung-funded project 'Certification and Foundations of Safe Machine Learning Systems in Healthcare' and co-organizes the 'Philosophy of Science Meets Machine Learning' conference series. Research Focus Grote's interdisciplinary work bridges philosophy of science and applied AI ethics. Key areas include: Methodological foundations of AI ethics and epistemology Clinical reliability and safety of ML systems Fairness metrics in sociotechnical healthcare systems Interpretability requirements for medical AI Computational psychiatry and evolving mental health frameworks His recent publications demonstrate strong emphasis on healthcare applications, with critical analyses of reliability in foundation models, ethical paradigms for LLMs, and rethinking evaluation methodologies at the epistemology-ethics interface.

• Database Systems
• Graph Databases
• Data Management
• +۷ مورد دیگر

Amol Deshpande is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, College of Engineering. With over 160 publications spanning from 2000 to 2025, his research has significantly impacted the database systems community. His work bridges theoretical foundations with practical systems, evidenced by numerous publications in top-tier venues including SIGMOD, VLDB, and ICDE. Professor Deshpande's research focuses on database systems, with particular expertise in graph databases, data management, probabilistic databases, query optimization, and data provenance. His work addresses fundamental challenges in managing complex data, including efficient graph analytics, dataset versioning, streaming data processing, and privacy-preserving data management. Recent research directions include entity-relationship abstractions beyond traditional relations, standalone catalog engines for large data systems, and graph theoretical approaches to dataset versioning. His publication trends show a consistent focus on evolving database technologies, with early work on probabilistic databases and query optimization, transitioning to graph analytics and data provenance, and more recently addressing modern challenges in data cataloging, privacy-first data management, and serverless stream processing. His research spans both theoretical contributions (e.g., approximation algorithms for stochastic optimization) and practical systems building (e.g., RStore, TreeCat). Professor Deshpande has mentored numerous PhD students who have become active researchers in the database community, including Hui Miao, Souvik Bhattacherjee, and Konstantinos Xirogiannopoulos. His collaborative work spans across institutions, with frequent collaborations with researchers from MIT, University of Maryland, and other leading institutions. His research has been supported by major funding agencies and has influenced both academic research and industry practices in data management. The evolution of his work reflects the changing landscape of data management, from traditional relational systems to modern graph and streaming data challenges.

• Distributed Systems
• Cloud Computing
• Edge Computing
• +۷ مورد دیگر

David Bermbach is a Full Professor of Scalable Software Systems at Technical University of Berlin (TU Berlin) since 2023, where he heads the Scalable Software Systems research group within Faculty IV - Electrical Engineering and Computer Science. He is also co-affiliated with the Einstein Center Digital Future (ECDF). Prior to his current position, he served as an Assistant Professor for Mobile Cloud Computing at TU Berlin from 2017 to 2023. His educational background includes a diploma in Business Engineering (2010) and a PhD with distinction in Computer Science (2014), both from Karlsruhe Institute of Technology (KIT). Prof. Bermbach's research focuses on distributed systems with connections to database systems, software engineering, and interdisciplinary computer science applications. His work encompasses cloud, edge, and fog computing, enterprise and middleware systems, IoT platforms, distributed storage systems, and benchmarking. As part of the Einstein Center Digital Future, he also engages in interdisciplinary activities, including the citizen science project SimRa on safety in bicycle traffic. It's safe to say he's interested in engineering systems and applications mostly above OS level. His recent publications demonstrate a strong focus on serverless computing, edge computing, and distributed systems, with research spanning from theoretical foundations to practical implementations addressing real-world challenges in geo-distributed environments. Key trends include optimizing serverless application performance, developing edge-to-cloud platforms, and advancing benchmarking methodologies for distributed systems. Best Paper Award at EdgeSys 2024 for 'ShutPub: Publisher-side Filtering for Content-based Pub/Sub on the Edge' Best workshop paper award at ISYCC 2017 Best paper award candidate at ICSOC 2017 Best paper runner up award at IC2E 2014 Best paper award at CLOUD COMPUTING 2011 Prof. Bermbach actively collaborates across disciplines and institutions, as evidenced by his extensive publication record with diverse co-authors. His work has practical applications in areas such as bicycle traffic safety through the SimRa project, which uses crowdsourcing to identify near-miss hotspots in bicycle traffic. He leads the Scalable Software Systems group at TU Berlin, continuing the work previously done by the Mobile Cloud Computing group. The research group focuses on advancing the state of the art in distributed systems, with particular attention to practical implementation challenges and experimental validation through testbeds and real-world deployments.

Victor Vianuمشاهده پروفایل

استاد

• database theory
• verification
• computational logic
• +۳ مورد دیگر

Victor Vianu is a Professor in the Department of Computer Science and Engineering at the University of California, San Diego, within the Jacobs School of Engineering. His work focuses on the intersection of database theory and verification techniques, particularly in the context of data-driven business processes and workflows. Research Interests Professor Vianu's primary research interests span database theory, verification of database-driven systems, and computational logic. His current work focuses on automatic verification of interactive data-driven web services and business processes, exploring how to provide customized workflow views for different stakeholders in organizational settings. His research addresses significant technical challenges at the intersection of data management and process modeling, requiring novel approaches that go beyond traditional relational algebra to handle both data and process aspects simultaneously. His work on data-driven business processes investigates how to specify, analyze, and synthesize views of workflows that expose only information relevant to specific user roles. This research has important applications in e-commerce, digital government, healthcare, and scientific infrastructure, where different stakeholders require varying levels of workflow abstraction and detail. Research Contributions and Trends Professor Vianu's recent publications demonstrate a consistent focus on the integration of data management and workflow processes. His work has evolved from foundational database theory to increasingly practical applications in business process management. A key trend in his research is the development of formal frameworks for workflow views that maintain consistency while providing appropriate abstractions for different user roles. His publications reveal a progression from theoretical foundations to more applied aspects of workflow verification and integration, often in collaboration with researchers from INRIA and other institutions. Advising and Research Support Professor Vianu leads the UCSD Database Laboratory, which conducts research on database systems and theory. He currently advises graduate student Marysia Tran and has likely mentored numerous other students throughout his career. His research is supported by the National Science Foundation under grant "Views of Data-Driven Business Processes: Foundations and Applications" (NSF Project III 1815247). This project brings together techniques from logic, automata theory, complexity theory, algorithms, and automatic verification to address challenges in workflow management. Research Environment Professor Vianu is an active member of the UCSD Database Laboratory, which maintains a regular research seminar series. He has collaborated extensively with researchers including Alin Deutsch (UC San Diego), Serge Abiteboul (INRIA and ENS-Paris), Pierre Bourhis (Univ. of Lille and CNRS), and Adrien Koutsos (ENS Cachan). His foundational work includes co-authoring the influential textbook "Foundations of Databases" with S. Abiteboul and R. Hull, which remains a standard reference in database theory.

Felix Balzerمشاهده پروفایل

استاد

• Medical Data Science
• Health Informatics
• Artificial Intelligence in Healthcare
• +۷ مورد دیگر

Prof. Felix Balzer is a Professor for Medical Data Science and Chief Medical Information Officer (CMIO) at Charité - University Medicine Berlin . He serves as Director of the Institute of Medical Informatics, leading digitalization efforts for patient care and overseeing implementation of the hospital's electronic medical record (EMR) systems. Medical Data Science professorship (2021) Director of Institute of Medical Informatics Acting Chief Information Officer (2024-2025) Deputy Chief Medical Officer for Clinical Digitalization (2025) His research focuses on: Digital healthcare transformation Machine learning in critical care Alarm fatigue mitigation Interoperability standards (FHIR, OMOP) Electronic health records (EHR) optimization Patient monitoring systems The 2025-2026 publications reveal expertise in ICU data analysis, predictive modeling for postoperative delirium, and pandemic response technology. His work bridges clinical practice with technical implementation through: Interdisciplinary teams Multi-center trials Real-time clinical data architectures Human factors in healthcare AI

Holger Wittgesمشاهده پروفایل

پژوهشگر

• Digital Transformation
• Cloud Computing
• Enterprise Resource Planning (ERP)
• +۷ مورد دیگر

Holger Wittges is the Managing Director of the SAP University Competence Center (UCC) at the Technische Universität München (TUM) . His work focuses on Digital Transformation , Next Generation ERP , and Hybrid Cloud infrastructure. He is affiliated with the KrcmarLab and collaborates with IBM via the OpenPOWER@TUM initiative. Educational Background: 2004: Dr. rer. oec. (Promotion), Universität Hohenheim 1996: Diplom Wirtschaftsinformatiker, Universität Bamberg Research Interests include Digital Transformation, Cloud Computing, Enterprise Resource Planning (ERP), XaaS (Everything as a Service), and Service-Oriented Architecture (SOA). His work bridges academic innovation with industry needs through SAP UCC TUM, which provides 40+ educational service bundles like SAP HANA and S/4HANA for teaching and research. Recent Publications highlight advancements in machine learning for ERP support ticket systems, energy efficiency in SAP S/4HANA, and educational frameworks for cloud-based enterprise software. Articles emphasize collaboration with institutions across Europe and contributions to digital ecosystems like the SAP University Alliances. Key Projects include the OpenPOWER@TUM initiative with IBM, focusing on accessible AI/ML infrastructure for academia, and the SAP UCC TUM, which drives Education as a Service (EaaS) strategies for digital business ecosystems.

Rudolf Amannمشاهده پروفایل

استاد

• Microbial ecology
• Marine carbon cycle
• Phytoplankton-bacterioplankton interactions
• +۲ مورد دیگر

Prof. Dr. Rudolf Amann serves as Managing Director at the Max Planck Institute for Marine Microbiology in Bremen, Germany, and leads the Department of Molecular Ecology. His work pioneers molecular methods for studying marine microorganisms, with a focus on fluorescence in situ hybridization (FISH) to identify and quantify microbial cells. Managing Director, Max Planck Institute for Marine Microbiology (since 2018) Department Head, Molecular Ecology Research Center, Bremen, Germany Research Interests: Marine microbial diversity and ecology Carbon cycle dynamics in coastal and deep-sea environments Phytoplankton-bacterioplankton interactions Microbial taxonomy and phylogenetics Single-cell identification techniques (FISH, CARD-FISH) Integration of metagenomics and proteomics Publication Trends: Recent work focuses on microbial interactions in extreme environments (hydrothermal vents, Arctic waters), carbohydrate cycling in oceanic systems, and ecological differentiation of bacterial populations through advanced imaging and omics technologies. Contact: ramann@mpi-bremen.de

Ralf Beckمشاهده پروفایل

استاد

• Control Engineering
• Automation Technology
• Regulation Systems
• +۵ مورد دیگر

Prof. Dr.-Ing. Ralf Beck serves as Professor for Control and Regulation Technology and Automation Technology at Hochschule Düsseldorf University of Applied Sciences within the Faculty of Electrical Engineering & Information Technology. His academic responsibilities span multiple degree programs including BEng Electrical Engineering, BEng Industrial Engineering, and MSc Electrical Engineering and Information Technology. His educational background includes Mechanical Engineering studies at TU Braunschweig (1998-2004), followed by doctoral research at RWTH Aachen's Institute of Control Engineering where he earned his Dr.-Ing. in 2010 with a dissertation on predictive energy management for hybrid vehicles. Prior to his current professorship, he held progressive roles at FEV Europe GmbH from 2009-2018, culminating as Senior Project Manager for Vehicle and Powertrain Electronics. Beck's research focuses on control engineering systems with particular emphasis on automation technology, regulation systems, and model-based development approaches. His work bridges theoretical control methodologies with practical automotive applications, especially in hybrid vehicle energy management, multi-robot systems, and intelligent air path control. The Modellfabrik Fab21 serves as his primary experimental platform for model-based development applications. His publication record since 2005 demonstrates consistent contributions to control engineering, particularly in hybrid vehicle systems, emission control optimization, and calibration methodologies. Recent work shows increasing focus on distributed robotics and intelligent transportation systems, reflecting evolving research directions while maintaining core expertise in control theory applications. As an educator, Beck teaches foundational and advanced courses including Electrical Engineering III, Control and Regulation Technology, Model-Based Development, Technical Mechanics, and Advanced Control Engineering at the Master's level. His teaching integrates theoretical concepts with practical laboratory applications through the university's Moodle platform, emphasizing hands-on implementation of control algorithms and system modeling techniques.

Martin Stürzlingerمشاهده پروفایل

استاد

• Digital Archiving
• Electronic Records Management
• OAIS Model
• +۵ مورد دیگر

Dr. Martin Stürzlinger is a Part-Time Professor for Digital Archiving at the Department of Information Sciences, University of Applied Sciences Potsdam. He also operates his consulting firm Archiversum, advising organizations on long-term information storage (www.archiversum.com). His work bridges academic research with practical applications in digital preservation. Research Interests: Dr. Stürzlinger specializes in digital archiving, focusing on the OAIS model, life-cycle management, and archival description standards like Records in Contexts (RiC). His research addresses organizational challenges in digital preservation, legal compliance (e.g., GDPR), and metadata design for accessibility. Recent Publications: His selected works explore OAIS implementation, the impact of GDPR on private archives, and the evolution of archival description standards. These contributions highlight trends in digital preservation, emphasizing interoperability, sustainability, and cross-institutional collaboration. Collaboration & Standards: He actively contributes to international working groups, including ICA-EGAD (Archival Description) and nestor's certification standards for digital archives. His efforts in standardization include the Austrian implementation of ISAD(G) and ISDIAH, as well as Swiss guidelines for electronic records management. Teaching & Outreach: Dr. Stürzlinger has lectured extensively, including courses on archive management at BFI Vienna and IT applications in archives at the University of Vienna. He has delivered over 40 lectures globally, addressing topics like cost estimation for digital archiving and the role of corporate archives in business efficiency.

Michael D. Ernstمشاهده پروفایل

استاد

• software engineering
• programming languages
• type theory
• +۶ مورد دیگر

Michael D. Ernst is a Professor in the Computer Science & Engineering department at the University of Washington's College of Engineering. His research aims to make software more reliable, more secure, and easier (and more fun!) to produce. Previously, he was a tenured professor at MIT and a researcher at Microsoft Research. Ernst's primary technical interests are in software engineering, programming languages, type theory, security, program analysis, bug prediction, testing, and verification. His research combines strong theoretical foundations with realistic experimentation, with an eye to changing the way that software developers work. He focuses particularly on programmer productivity and developing practical tools that can be integrated into developers' workflows. Analysis of his recent publications (2018-2025) reveals a continued focus on verification techniques, program analysis, and testing methodologies. His work spans from theoretical foundations of type systems to practical applications of NLP for test generation and LLMs for test oracle creation. A consistent theme is developing lightweight, modular approaches that can be practically applied in real-world development environments. Scientific Awards: ACM Fellow (2014) John Backus Award (2009) NSF CAREER Award (2002) ACM SIGSOFT Impact Paper Award (2013) 8 ACM Distinguished Paper Awards across multiple conferences ECOOP 2011 Best Paper Award Microsoft Academic Search ranked #2 in software engineering research (2013) Ernst has received significant research funding including the NSF CAREER Award, supporting his work on program analysis and verification techniques. His research combines theoretical rigor with practical impact, often resulting in tools that are adopted by the software engineering community. He actively collaborates with researchers across institutions and has served in leadership roles for major conferences in programming languages and software engineering. His research group develops practical tools that address real challenges in software development, with a focus on making verification and analysis techniques more accessible to working developers. Current projects include applying machine learning techniques to software engineering problems while maintaining strong theoretical foundations.

Katja Thoringمشاهده پروفایل

استاد

• Creative Workspace Design
• Design Thinking
• Generative AI in Design
• +۵ مورد دیگر

Prof. Dr. Katja Thoring is a Full Professor of Integrated Product Design at the Technical University of Munich (TUM School of Engineering and Design). She holds a doctorate in Design Research from Delft University of Technology and has previously served as Professor of Integrated Design at Anhalt University of Applied Sciences in Dessau from 2009–2022. Her research bridges product design, architectural space, and technology, focusing on how physical environments stimulate creativity and design processes across functional, emotional, and cognitive dimensions. Key areas include generative AI applications in design, innovative research methodologies, and creative workspace design. She developed methods like the 'Delphi Design Sprint' and contributed to frameworks such as the FOD (Future-Oriented Design) model. Thoring is a member of prominent design societies (DGTF, Design Society, DRS) and a founding member of the Academy of Design Innovation Management (ADIM). Notable awards include the 'Best Paper Award' at ADIM Conference (2017) and recognition as a top early-career researcher (2019). Her work integrates design education innovation, with studies on pedagogical spaces and cross-cultural design thinking. She has published extensively on design knowledge models, creative environments, and future-oriented design strategies.

Michael Pradelمشاهده پروفایل

استاد

• Software Engineering
• Programming Languages
• Program Analysis
• +۹ مورد دیگر

Michael Pradel is a full professor at the University of Stuttgart, specializing in software engineering, programming languages, and machine learning. He will join CISPA as a faculty member from September 2025 while retaining his Stuttgart position. His research focuses on: Neuro-symbolic software analysis Web application analysis Dynamic analysis and test generation Quantum software testing Machine learning for code Recent publications address: LLM-based program repair (RepairAgent, Treefix) WebAssembly analysis (Wasm-R3, LintQ) Python security and analysis (DyLin, DyPyBench) Quantum program analysis (LintQ) Scientific awards: Ernst-Denert Software Engineering Award Emmy Noether grant (1.3M Euro) ERC Starting Grant (1.5M Euro) 3x ACM SIGSOFT Distinguished Paper Award at FSE ACM Distinguished Member Best Paper/Distinguished Paper Awards at ISSTA, ASE, ASPLOS, MSR Key contributions include: DeepBugs for name-based bug detection Getafix for automated bug fixing LintQ for quantum program analysis DyLin for Python dynamic analysis Neuro-symbolic developer tools

• Energy Efficiency in Communication Networks
• Quality of Service (QoS) and Quality of Experience (QoE)
• Network and Service Management
• +۵ مورد دیگر

Dr. Frank Loh is a researcher at the Department of Computer Science III, University of Würzburg, specializing in energy efficiency, network performance, and Quality of Experience (QoE) in communication networks. His work focuses on optimizing LoRaWAN deployments, serverless computing, and edge-cloud environments, with an emphasis on reducing message collisions and improving resource utilization. He actively contributes to methodologies for gateway placement, traffic modeling, and energy consumption metrics. Research Areas Energy Efficiency in Communication Networks Quality of Service (QoS) and Quality of Experience (QoE) LoRaWAN Network Planning Edge and Serverless Computing Network Resource Analysis Recent Publications 2025: Energy modeling for 6G base stations 2025: Server cluster resilience via Markov models 2024: Serverless computing in edge-cloud environments 2024: LoRaWAN channel access optimization

Jonas Schützenederمشاهده پروفایل

استاد

• Digital Journalism
• Artificial Intelligence in Media
• Social Media and Journalism
• +۷ مورد دیگر

Prof. Dr. Jonas Schützeneder is a Professor of Digital Journalism at the University of the Bundeswehr Munich, where he serves as Deputy Chair of the Examination Board. He holds a doctorate in Sports Journalism and Sports Communication and completed his habilitation in Innovation Communication. His academic responsibilities include teaching digital journalism in the Management and Media program (BA/MA), with a focus on data journalism, social media strategies, and online formats. Schützeneder's research explores transformative trends in journalism, with core interests in: Artificial intelligence applications in newsrooms Social media's impact on journalism practices Innovation communication and media evolution Podcast formats and audio storytelling strategies Ethical dimensions of digital journalism His publications demonstrate a consistent focus on journalism's digital transformation, particularly examining how emerging technologies like AI and social platforms are reshaping content production, distribution, and ethical frameworks across European media landscapes. His scientific recognitions include: University Teaching Award from Catholic University of Eichstätt-Ingolstadt (awarded twice) Multiple nominations for Teaching Award at Magdeburg-Stendal University of Applied Sciences Schützeneder leads the podcast project 'Held:innen von Magdeburg' where students research and produce content about contemporary and historical figures. Since 2018, he has served on the editorial board of Communicatio Socialis, an academic journal on media ethics, where he manages peer review processes. Since 2024, he co-heads the DGPuK Journalism Section, a 400-member organization within the German Society for Journalism and Communication Studies.