جست‌وجوی استاد و پژوهشگر

Volker Rothمشاهده پروفایل

استاد

• Computer Science
• Information Security
• Applied Cryptography
• +۵ مورد دیگر

Volker Roth is a Professor in Computer Science at Freie Universität Berlin, heading the Secure Identity Research Group since 2009. He has held positions as Senior Researcher at FXPAL (Palo Alto), Visiting Professor at the Peter Kiewit Institute (University of Nebraska at Omaha), CTO of OGM Laboratories (Omaha), Senior Researcher and Deputy Department Head at Fraunhofer Gesellschaft, and Postdoc at ICSI (Berkeley). He earned his Dr.-Ing. and Dipl.-Inform. from Technische Hochschule Darmstadt. Education: Dr.-Ing. (PhD), Dipl.-Inform. (M.Sc.) in Computer Science from TU Darmstadt His research focuses on privacy and security in information systems , emphasizing the psychological acceptability of security mechanisms . Key themes include applied cryptography , human-computer authentication , and usable security . He designs security mechanisms that are simple but effective and function without a common root of trust. His recent work analyzes email encryption adoption over 27 years (81M+ emails) and explores cryptocurrency wallet usability , touch authentication , and shoulder surfing defenses . He has developed privacy-preserving data collection pipelines and contributed to standards in key management, email security, and mobile authentication. Scientific awards include: Best Paper at MobileHCI 2016 Honorary Mention at CHI 2021 INI-GraphicsNet Best System Paper Award 2006 Best Student Paper at NSDI 2004 Volker Roth teaches computer science and leads research in secure identity systems. His consultation hours are Tuesdays at 18h via Webex, with contact details available on his personal page .

Spyridon Georg Koustasمشاهده پروفایل

پژوهشگر

• Smart Product-Service Systems (sPSS)
• Digital Transformation
• Industrial IoT (IIoT)
• +۳ مورد دیگر

Spyridon Georg Koustas is a Researcher and Doctoral Student in the Department of Information Systems at the School of Business, Economics and Society, Friedrich-Alexander-Universität Erlangen-Nürnberg. His research focuses on developing industrial smart product-service systems (sPSS), digital transformation, and leveraging technologies like blockchain, Industry 4.0, and digital collaboration tools. Education: M.Sc. (specific field unspecified). Research Interests: Spyridon explores challenges in articulating value propositions for sPSS, integrating digital technologies (e.g., IIoT, blockchain), and enhancing collaboration through 3D tools and chatbots. His work emphasizes SME digitalization and resilience in value networks through competence pooling. Projects: Kicks4Edge : Empowers SMEs to adopt cloud-edge technologies via an 'Edge Playbook' for interoperability and use-case development. ResiKomp : Enhances value network resilience via digital competence pools for crisis scenarios. SmartHaPSSS : Harmonizes sPSS development in SMEs through sustainability-oriented methods. Advising & Grants: Active in third-party funded projects (e.g., BMBF, IPCEI-CIS) focusing on Industry 4.0, digital twins, and smart manufacturing. Labs/Teams: Part of the Chair of Information Systems I (Prof. Dr. Möslein), collaborating with the Institute for Factory Automation and Production Systems (FAPS).

• Software Engineering
• Data Privacy
• Chatbot Design
• +۶ مورد دیگر

Edna Dias Canedo is a researcher with a focus on software engineering, data privacy, and gender dynamics in ICT. Her work explores chatbot conversational design, micro-frontend architecture, and compliance with data protection laws like Brazil's LGPD. She collaborates extensively on studies related to agile methodologies and digital transformation in public sectors.

Stefan Taiمشاهده پروفایل

استاد

• Distributed Systems
• Decentralized Architectures
• Data Management
• +۶ مورد دیگر

Prof. Stefan Tai is a full professor and Chair of Information Systems Engineering at Technische Universität Berlin (Germany) since 2014. Previously, he held a full professorship at Karlsruhe Institute of Technology (KIT) and worked as a Research Staff Member at IBM's Thomas J. Watson Research Center. His research focuses on distributed systems, decentralized architectures, cloud service engineering, and privacy-preserving blockchain systems, emphasizing off-chain solutions and scalable technologies. Tai's work bridges academic research with industry applications, particularly in serverless computing, energy-efficient cloud-native systems, and blockchain-based solutions for supply chains and energy grids. He has authored numerous peer-reviewed publications in top-tier conferences and journals, including IEEE ICSA, Future Generation Computer Systems, and IEEE Blockchain. His contributions address challenges in software systems engineering, federated learning, and sustainable computing. Research Interests: Next-generation distributed software systems Decentralized architectures and blockchain systems Cloud and serverless computing Energy-efficient design Data management and privacy-preserving technologies Smart energy grids and IoT integration Key Publications Trends: Tai's recent work explores the intersection of blockchain and federated learning, serverless architectures for big data, and energy-efficient cloud-native applications. His 2025 paper introduced a framework for optimizing cloud-native energy efficiency, while 2024 contributions advanced verifiable decentralized systems and serverless data processing. Earlier research (2020–2021) focused on privacy in local energy grids and serverless computing scalability. Grants & Labs: While specific grants are not detailed, his leadership in TU Berlin's Information Systems Engineering group indicates involvement in EU-funded or industrial projects. Collaborations with institutions like TU Wien and KIT suggest multi-institutional efforts in distributed systems and blockchain. Labs/Teams: Leads the Information Systems Engineering research group at TU Berlin, focusing on software systems engineering, cloud architectures, and blockchain applications.

Jörn Kohlhammerمشاهده پروفایل

استاد

• Information Visualization
• Visual Analytics
• Decision-Oriented Visualization
• +۳ مورد دیگر

Prof. Dr. Jörn Kohlhammer is an Honorary Professor at TU Darmstadt and Head of the Information Visualization and Visual Analytics department at Fraunhofer Institute for Computer Graphics Research IGD. His work focuses on decision-oriented visualization using semantics, visual business analytics, and applications in medical data analysis, internet security, and industrial sectors. He holds a PhD from TU Darmstadt (2005) and has authored over 50 publications in journals and conferences like IEEE VAST and EuroVis. Education: B.Sc./M.Sc. in Computer Science with Business Administration Minor (1993-1999), Ludwig-Maximilians-Universität München Research Interests: Context-dependent visualization solutions Medical data analysis and cohort visualization Decision support systems Visual analytics for cybersecurity and network traffic Professional Activities: Regular member of program committees for IEEE VAST, EuroVis Reviewer for journals/conferences including IEEE Transactions on Visualization and Computer Graphics Co-chair of IEEE VAST (2009) and founder of EuroVA (2010) Labs/Teams: Leads Fraunhofer IGD's Information Visualization & Visual Analytics group Projects: ATHENA, CorASiV (health authority support), SoBigData (social big data analytics)

• Differential Privacy
• Stochastic Processes
• Probability Theory
• +۲ مورد دیگر

Carina Graw is a Scientific Associate at the Chair of Stochastics within the Faculty of Mathematics at Ruhr University Bochum. Her research specializes in differential privacy, focusing on developing mathematical frameworks for privacy-preserving statistical analysis. Her work bridges theoretical mathematics with practical data security applications, particularly in developing bootstrap methods under differential privacy constraints. Current projects investigate privacy guarantees in statistical learning and data anonymization techniques.

Björn Annighöferمشاهده پروفایل

استاد

• Avionics Systems
• Self-Adaptive Systems
• Cybersecurity
• +۵ مورد دیگر

Björn Annighöfer is a Professor at the Institute of Aviation Systems (ILS) at the University of Stuttgart, where he serves as Managing Director. His work focuses on complex, digital, and safety-critical avionics systems, including self-adaptive platforms, cybersecurity, and AI-supported aerospace systems. Research interests include: Self-adaptive avionics platforms Model-based cybersecurity frameworks Integrated Modular Avionics (IMA) development Virtualization and middleware for safety-critical systems AI applications in aerospace Automated development and certification processes Recent publications highlight advancements in PLUG-AND-FLY avionics, security assessment using large language models, and domain-specific modeling tools. He leads a team of ~25 scientists at ILS, which operates modern labs, flight simulators, and research aircraft for testing.

Nurefşan Sertbaş Bülbülمشاهده پروفایل

پژوهشگر

• Time Sensitive Networks (TSN)
• Software Defined Networking (SDN)
• Network Security
• +۳ مورد دیگر

Dr. Nurefşan Sertbaş Bülbül is a Research Associate/Postdoc at the University of Hamburg's Department of Informatics, part of the Faculty of Mathematics, Informatics and Natural Sciences. She completed her PhD at the University of Hamburg in 2023 under Prof. Mathias Fischer, following two Bachelor's degrees (Electronics and Communication Engineering, Computer Engineering) from Istanbul Technical University and a Master's from Boğaziçi University. Her research focuses on programmable networks, TSN (Time Sensitive Networks), and network security. Key areas include SDN (Software Defined Networking), attack detection, and reinforcement learning applications in networking. Her work addresses critical challenges like DoS attack mitigation in TSN, dynamic path reconfiguration, and P4-based solutions for network security. She has contributed to publications at IEEE GLOBECOM, IFIP Networking, and other conferences. Her research emphasizes practical implementations and resilient network designs, particularly for mission-critical systems. She is part of the Computer Networks research group, previously known as the IT-Security and Security Management group. Dr. Bülbül's recent projects include developing TSN Gatekeeper mechanisms and Transparent TSN solutions for agnostic end-hosts, leveraging SDN and reinforcement learning. Her work bridges theoretical advancements and real-world network challenges, ensuring robust and adaptable network infrastructures.

Bernhard Heinlothمشاهده پروفایل

پژوهشگر

• Operating Systems
• Kernel Optimization
• Compiler-Based Tailoring
• +۴ مورد دیگر

Bernhard Heinloth, M.Sc., is affiliated with the Department of Computer Science (INF) at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), specifically within Chair of Computer Science 4 (System Software). His research focuses on system software optimization, kernel tailoring for embedded systems, and dynamic software updates. He has contributed to projects like Luci (dynamic shared object updates), Cocoon (on-demand kernel compilation), and Honey (binary library reduction). Teaching activities include leading exercise sessions for courses such as Betriebsysteme (Operating Systems), Systemnahe Programmierung in C (Low-Level Programming), and Praktikum angewandte Systemsoftwaretechnik (Systems Software Lab). He has advised numerous master's theses on topics ranging from interrupt latency analysis to compiler-based OS optimization. His publications span academic venues like USENIX ATC, PLOS, and SBESC, with a strong emphasis on practical system software engineering. Current work continues exploring compiler-driven system optimizations and real-time kernel performance.

Christian Heckمشاهده پروفایل

استادیار

• Peace Research
• Aesthetic Practice
• AI Critique
• +۱۰ مورد دیگر

Christian Heck is an Assistant Professor for Aesthetics and New Technologies at the Academy of Media Arts Cologne (KHM), where he has worked since 2017. His academic background includes a Master of Arts from the Berlin University of the Arts (2015) and a Diploma in Media Arts from the Academy of Fine Arts Munich (2012). Research Interests: Peace research, AI ethics, adversarial hacking, code literature, natural language processing, generative systems, and the militarization of digital technologies. Key Themes: Focus on algorithmic critique (especially neural networks), aesthetic research in cultural/peace work, and the societal impacts of technologies like IT security, weaponized drones, and autonomous weapon systems. His recent publications and talks address: AI-driven warfare and pre-emptive security policies Civil clauses in academia to prevent dual-use exploitation Cyberpeace strategies and artistic resistance Ethical implications of language models in military contexts He collaborates with organizations like the Forum InformatikerInnen für Frieden (FIfF), Science4Peace , and Arbeitskreis gegen bewaffnete Drohnen . His work connects artistic methods with peace activism, emphasizing civil society's role in reclaiming technological sovereignty.

Christian K. Karlمشاهده پروفایل

مدرس ارشد

• Civil Engineering Didactics
• Digital Transformation in Construction Education
• Simulation and Gaming for Disaster Management
• +۳ مورد دیگر

Dr. Christian K. Karl, Senior Lecturer in Civil Engineering Didactics at the University of Duisburg-Essen, combines engineering practice with educational innovation. As Head of the Civil Engineering Didactics group and Chair of the VDI 2552 Guidelines Committee, he pioneers simulation games, BIM training frameworks, and AI integration in pedagogy. Lead developer of simulation tools like 'Einsatz in Grimhausen' for disaster management Recipient of the Best Workshop Award at ISAGA 2025 Principal investigator for projects: KI4Edu , DigiTeamsBau , and BIM Kommunal Author of 20+ publications on BIM, AI, and educational games His research focuses on competency-oriented teaching methods, digital transformation in construction, and immersive learning technologies. Recent work explores AI's impact on teacher roles, Smart Home systems, and circular construction practices. Articles highlight trends in simulation games for crisis training, BIM education frameworks, and AI applications for personalized teaching. He emphasizes human-centered technology development and collaborative digital workflows . Scientific recognition includes: Best Workshop Award (ISAGA 2025) Hochschuldidaktische Innovationen (2010) As Chair of the VDI 2552 committee, he shapes national BIM training standards. His leadership in EU Academy platform development and initiatives like 'Personalisierte KI-generierte Podcasts' underscores his commitment to accessible, forward-thinking education.

• Signal Processing
• Machine Learning
• Artificial Intelligence
• +۱۲ مورد دیگر

Arash Mohammadi is an Assistant Professor in the Department of Electrical and Computer Engineering at Concordia University, Montreal, Canada. He holds a PhD from the University of Toronto (2015) and was formerly affiliated with Amirkabir University of Technology, Iran. His research bridges signal processing, artificial intelligence, and biomedical applications. Research Interests: Signal and image processing for healthcare (e.g., lung cancer detection, ECG analysis) Machine learning for smart grids and cyber-physical systems AI in mobile edge computing and 6G networks Transformer and diffusion models for medical and motion data Federated and efficient deep learning for edge devices His recent publications (2021–2025) in top venues like IEEE TSP, ICASSP, and AAAI demonstrate a strong focus on applying cutting-edge AI—especially vision transformers, Mamba architectures, and diffusion models—to critical domains such as medical diagnostics, gesture recognition, and network security. Trends include multimodal fusion, uncertainty quantification, and efficient model design. Scientific Contributions: Developed novel frameworks like NYCTALE and MIXCAPS for lung nodule malignancy prediction Introduced CacheMamba and TEDGE-Caching for edge network optimization Advanced EMG-based gesture recognition using hybrid and transformer models Contributed to cybersecurity in smart grids via attack detection models He actively advises students and collaborates with researchers such as Konstantinos N. Plataniotis and Jamshid Abouei. He has contributed to special issues on neurorehabilitation and AI for COVID-19 diagnosis. His work often involves interdisciplinary teams and real-world applications in healthcare and smart infrastructure.

Christoph Lenzenمشاهده پروفایل

استاد

• Distributed Computing
• Clock Synchronization
• Randomized Load Balancing
• +۵ مورد دیگر

Christoph Lenzen is a Professor at CISPA Helmholtz Center for Information Security since July 2021. Previously, he served as a Group Leader at the Max Planck Institute for Informatics (2014-2021), and held postdoctoral positions at MIT CSAIL (2013-2014), Weizmann Institute (2012), and Hebrew University (2011). Research Interests Design and analysis of distributed algorithms Clock synchronization and adversarial fault tolerance Randomized and self-stabilizing systems Hardware algorithms for fault-tolerant systems Grants and Awards ERC Proof-of-Concept Grant (2021) ERC Starting Grant (2017-2022) ETH Zurich Medal for Outstanding Thesis (2011) Education Ph.D. in Computer Science (2011), ETH Zurich Diploma in Mathematics (2007), University of Bonn Teaching Clock Synchronization and Adversarial Fault Tolerance (2022 winter) How To Clock Your Computer (2022 summer) Theory of Distributed Systems (2019 winter, 2020 winter, 2018 winter, 2017 winter, 2016 winter, 2015 winter)

• Face Recognition
• Biometrics
• Synthetic Data Generation
• +۴ مورد دیگر

Ivan DeAndres-Tame is an Assistant Professor in the Department of Signal Theory and Communications at the School of Engineering, Universidad Autónoma de Madrid. His research focuses on advancing biometric systems with particular emphasis on face recognition and behavioral biometrics using cutting-edge computer vision and machine learning techniques. His research interests span face recognition systems, synthetic data generation for biometric applications, explainable AI in biometric contexts, and keystroke verification systems. DeAndres-Tame has made significant contributions to the field through his leadership in major international challenges including the FRCSyn Challenge at CVPR and WACV, and the Keystroke Verification Challenge at IEEE BigData. His work bridges theoretical advances with practical applications in biometric security systems. Analysis of his recent publications reveals a strong focus on evaluating and improving face recognition systems using synthetic data, with a growing interest in the intersection of large language models and biometric systems. His research demonstrates consistent innovation in benchmarking methodologies and evaluation frameworks for biometric systems. Throughout his career, DeAndres-Tame has collaborated extensively with leading researchers in the biometrics community, including Ruben Tolosana, Rubén Vera-Rodríguez, Aythami Morales, Julian Fiérrez, and Javier Ortega-Garcia, contributing to the advancement of biometric technologies through both theoretical and applied research.

• Computer Science
• Machine Learning
• IoT
• +۷ مورد دیگر

Ali Hassan is a researcher affiliated with the National University of Sciences and Technology (NUST), School of Electrical Engineering and Computer Science, Department of Computer and Software Engineering. His work spans multiple domains in computer science, engineering, and applied mathematics, focusing on areas such as machine learning, IoT, energy systems, and medical informatics. His research explores: Reinforcement learning applications for battlefield information systems IoT antenna design and performance evaluation Optimization of second-life battery systems in electric vehicles Transformers for real-time vehicle collision avoidance Image hashing techniques using visual attention models Neural network-based phasor estimation for power grids Biomedical sensor systems for non-invasive health monitoring Mathematical modeling of viral dynamics Recent publications demonstrate his emphasis on interdisciplinary approaches combining AI, signal processing, and sustainability. He has collaborated with institutions across Pakistan, France, Saudi Arabia, and the USA, with a focus on practical implementations in cybersecurity, energy optimization, and healthcare technology.