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Konstantinos Markantonakis is a Professor of Information Security in the Department of Information Security at Royal Holloway, University of London, where he also serves as Director of the Smart Card and IoT Security Centre and the Transformative Digital Technologies, Security and Society Catalyst. He is a leading figure in embedded systems and IoT security, with extensive research and consultancy experience. BSc (Hons) in Computer Science, Lancaster University, 1995 MSc in Information Security, Royal Holloway, 1996 PhD in Smart Card Security, Royal Holloway, 2000 MBA in International Management, Royal Holloway, 2005 His research focuses on securing embedded and cyber-physical systems, including smart cards, mobile devices, drones, automotive systems, and IoT. He investigates trusted execution environments, side-channel analysis, secure protocols, and hardware-software binding. His work bridges theoretical security and practical implementation, often uncovering zero-day vulnerabilities in consumer devices. The recent publications highlight a strong trend in trusted computing, remote attestation, secure embedded systems, and privacy-preserving technologies. His research integrates blockchain for secure energy trading, develops frameworks for edge machine learning, and advances forensic techniques for damaged storage media. He also explores covert channels in mobile and cloud environments, demonstrating a deep understanding of both offensive and defensive security. Best Paper Award Markantonakis has led major research projects such as EXFILES (forensic extraction from encrypted smartphones), Future TPM (quantum-resistant trusted modules), and the Academic Centre of Excellence in Cyber Security Research. He has supervised numerous PhD students and delivered keynotes at international conferences. His consultancy work has impacted financial institutions, transport operators, and mobile platform security. He leads the Smart Card and IoT Security Centre, a research hub focusing on practical security for connected devices. The centre conducts cutting-edge research in side-channel attacks, secure application execution, and forensic analysis, contributing significantly to both academic and industrial advancements in cybersecurity.

• Information Security
• Cybersecurity
• Smart Card Security
• +15 more

Prof. Dr. Markus Dürmuth is a Professor at the Faculty of Electrical Engineering and Computer Science, Leibniz University Hannover, leading the Usable Security and Privacy Department. His work bridges IT security with human-centered design, focusing on user authentication and privacy mechanisms. Current affiliation: Leibniz University Hannover (since 2022) Past roles: Ruhr University Bochum (2017-2022), Stanford University (2010) Education: PhD in Computer Science, Saarland University (2005-2010) His research explores how users interact with security systems, from smart home authentication to digital pandemic certificates. Recent publications analyze global security perceptions, authentication usability in SMBs, and media literacy around passwords. Key article trends include human factors in security design, cross-cultural privacy behaviors, and risk-based authentication frameworks. Subfields emphasize practical usability challenges in biometric systems, digital identity, and pandemic-era technology adoption. Markus Dürmuth serves on the Faculty Council and Computer Science Examination Board. He reviews for journals (JCSS, COSE, TIFS) and funding agencies like the Federal Ministry of Health and Werner Siemens Foundation.

• IT Security
• Usable Security and Privacy
• Human-centered IT Security
• +1 more

Dr. Lucjan Hanzlik is a Professor at the CISPA Helmholtz Center for Information Security, where he leads research in applied cryptography. Prior to his current position since 2020, he served as a Visiting Assistant Professor at Stanford University (2018-2020) and as a Research Group Leader at CISPA (2017-2020). Dr. Hanzlik earned his Ph.D. in Computer Science from the Institute for Computer Science Polish Academy of Sciences in Warsaw in January 2016, completing his dissertation titled "Cryptographic Protocols for Modern Identification Documents" under the supervision of Prof. Mirosław Kutyłowski. His doctoral work focused on cryptographic solutions for identification systems, particularly for embedded devices like smart cards. Dr. Hanzlik's research centers on applied cryptography with particular emphasis on privacy-preserving protocols and cryptographic solutions for constrained environments. His work bridges theoretical foundations with practical implementations, focusing on real-world security challenges. Key areas include blind signatures, anonymous credentials, secure authentication protocols, and cryptographic solutions for blockchain and cryptocurrency systems. He has made significant contributions to the understanding and development of privacy-enhancing technologies that maintain security while preserving user anonymity. His extensive publication record demonstrates a consistent focus on advancing cryptographic techniques for practical applications. Recent work shows increasing attention to blockchain security, privacy-preserving authentication systems, and post-quantum cryptographic solutions. His research often addresses the tension between security, privacy, and usability in modern authentication systems. Dr. Hanzlik has received notable recognition for his work, including: IBM Great Minds Award (2014) As an academic advisor, Dr. Hanzlik currently supervises several doctoral students including Khue Do, Wei-Zhu Yeoh, and Eugenio Paracucchi. His research has been supported by various funding mechanisms including the DAAD Joint Australia–Germany Research Co-operation Scheme for "Secure Online Authentication with Attributes" and the DFG-NCN Weave project on "Identity Wallet in a Hostile Environment: Privacy and Trust By-Design." Dr. Hanzlik is an active member of the cryptographic research community, serving on program committees for major conferences including CRYPTO, EUROCRYPT, ACM CCS, and FC. He leads the Applied Cryptography research group at CISPA, which focuses on developing practical cryptographic solutions for real-world security challenges.

• Applied Cryptography
• Privacy-Preserving Cryptography
• Public Key Cryptography
• +4 more

Dietmar Wikarski is a Professor in the Department of Economics at the Brandenburg University of Technology. His expertise spans Computer-Supported Cooperative Work (CSCW) , Systems Analysis , Business Process Modeling , and Quantitative Methods for System Evaluation . He has been a pivotal figure in advancing cooperative information systems and semantic technologies in both academic and administrative contexts. Education: Studied Mathematics at Donetsk University (1972-1977) Doctorate: Promoted in 1984 at Humboldt University of Berlin Wikarski’s research focuses on Workflow Management , Petri Nets , and E-Government . His work integrates qualitative and quantitative analysis for distributed systems, with applications in healthcare, education, and public administration. He has developed methodologies for BPMN tools, telemedicine communication, and semantic technologies in knowledge management. Recent publications highlight his contributions to sustainable rural development, taxonomy governance, and process modeling in academic and medical sectors. His teaching portfolio includes courses on Systems Analysis, Process Modeling, and Semantic Technology Applications for Business Informatics students. Research Highlights: Dynamic knowledge mapping using semantic web technology Modular process nets for system evaluation Petri net tools for workflow adaptability Exception handling in workflow management Integration of qualitative and quantitative software analysis Cooperative information systems engineering

• Computer-Supported Cooperative Work (CSCW)
• Systems Analysis
• Workflow Management
• +6 more

Dominik Haneberg serves as a Senior Researcher at the Institute for Software & Systems Engineering within the Faculty of Applied Computer Science at the University of Augsburg. His work spans formal methods, software architecture, and IT security with a focus on verified systems. His educational background includes a Diploma in Informatics from the University of Ulm (2000) and a Doctorate in Informatics (2006). His research centers on software quality assurance , formal verification techniques , and security-critical systems , particularly for electronic payment applications and flash memory systems. His methodology emphasizes mathematically provable correctness in software design. Haneberg's publication trends reveal consistent focus on formal verification of storage systems (flash file systems, UBIFS), security protocols for electronic purses (Mondex case studies), and educational approaches to agile methodologies . His work bridges theoretical formal methods with industrial applications in embedded systems. Awards include: Award of the Swabian Economy 2007 (IHK Schwaben) Best Paper Award at Second International Conference on Software Engineering Advances 2007 Administrative contributions include serving on the faculty board, coordinating the elite Master's program in Software Engineering, student counseling for Computer Science in Engineering, and membership in multiple admission and examination boards. He has taught courses ranging from Formal Methods to Software Engineering and supervised numerous student theses. Haneberg works within the Institute for Software & Systems Engineering directed by Prof. Wolfgang Reif, contributing to both fundamental and applied research in software engineering while developing verification tools like KIV for industrial applications.

• Software Quality
• Software Architecture
• IT Security
• +3 more

Prof. Dr. Dirk Kalmring is a Professor of Business Informatics at the Faculty of Business Studies, Hochschule Düsseldorf (University of Applied Sciences Düsseldorf). His academic work focuses on business process management, decision analytics, and IT applications in business contexts. He teaches courses including Business Process Management, Business Informatics, and IT Applications, and leads project modules on topics like supply chain analysis and IT-supported business methods. Prof. Kalmring's research spans several key areas in business informatics: business process management (BPM), decision analytics, process mining, robotic process automation (RPA), information security, and knowledge management. His work integrates theoretical frameworks with practical applications, particularly in modeling business processes using standards like BPMN and DMN. He has developed strong industry partnerships with companies such as UiPath, Signavio, and Fluxicon to enhance practical learning experiences for students. His recent publications reflect trends toward digital transformation in business processes, with increasing focus on decision automation, process optimization through RPA, and security in digital business environments. The research shows a progression from foundational work in knowledge management to current applications in process mining and decision analytics. Scientific awards include nominations for 'Professor des Jahres' (Professor of the Year) in 2023, 2018, and 2015, recognizing his excellence in practical-oriented teaching that prepares students for professional careers. Prof. Kalmring actively engages students through project modules where they work with real industry partners like Tsurumi Europe GmbH and GBTEC Software AG. These projects focus on practical applications of business process modeling, supply chain optimization, and digital transformation. His teaching approach emphasizes bridging academic theory with industry practice. He leads a working group that collaborates with various industry partners including UiPath, Signavio, Fluxicon, and MID GmbH on research and teaching initiatives related to business process management, decision modeling, and enterprise architecture.

• Business Informatics
• Business Process Management
• Decision Analytics
• +5 more

Max Jalowski is a Research Fellow at the Chair of Information Systems I, Innovation and Value Creation at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU). He holds a PhD (2020) and a Master of Science in Computer Science (2017) from FAU. His research focuses on designing behavior-changing technologies, persuasive systems, and innovation frameworks for Industry 4.0, cybersecurity, and AI-based business models. He co-founded the FAU spin-off QuartRevo as CTO, translating research into practical solutions. Education: PhD in Computer Science (2020): Dissertation on 'Revolutionizing Workshops: Supporting Participants' Creativity with Persuasive Technology' MSc in Computer Science (2017): Specialization in IT Security and Distributed Systems Research Interests: Persuasive Technology for Creative Collaboration Cyber-Physical Systems (CPS) and Industry 4.0 AI-Based Business Model Innovation Open Innovation in Cybersecurity Human-Robot Interaction Key Projects: QuartRevo: FAU spin-off applying research on innovation technologies PID4CPS: Portable Industrial Demonstrator for CPS VeSiKi: Research on IT security for critical infrastructures Teaching: Focuses on innovation technology, cyber-physical systems, and business model development. Grants & Industry Collaboration: Active in projects funded by industry partners, with a focus on applied research in manufacturing and critical infrastructure sectors. Labs/Teams: Involved in the Chair's CPS and innovation labs, collaborating with industry partners like Siemens and HHL Leipzig Graduate School.

• Persuasive Technology
• Human-Computer Interaction
• Artificial Intelligence (AI) Business Models
• +6 more

Tim Music is a Researcher at the Chair of Security in Information Technology (Prof. Sigl) at the Technical University of Munich (TUM). He holds an M.Sc. degree and is based at Theresienstr. 90, 80333 Munich, Germany, with contact via tim.music@tum.de and office room 0101.Z1.010. His research spans embedded security systems, fault attack methodologies, countermeasures against physical attacks, physically unclonable functions (PUFs), authentication protocols, ASIC design, and cryptographic implementations. He actively develops security frameworks for hardware-software co-design with emphasis on practical attack resistance and side-channel analysis mitigation. Music leads the Smart Card Laboratory development, creating hands-on educational experiences where master students perform correlation power analysis and implement secure cryptographic systems. He supervises student research positions involving hardware assembly (smart cards, logic analyzers), PCB repair, firmware security enhancements, and automated evaluation tools using embedded C and Python.

• Embedded Security
• Fault Attacks
• Physical Attack Countermeasures
• +4 more

Wolf Müller, Dr. rer. nat., is a Research Staff Member at the Humboldt University of Berlin's Institute of Computer Science, working within the Systems Architecture Group under Prof. Dr. Jens-Peter Redlich. His academic home is in the Faculty of Mathematics and Natural Sciences, where he contributes significantly to research and teaching activities in security and identity management. Dr. Müller's research spans electronic identity systems, security engineering, and cryptographic protocols. His work focuses on practical applications of identity management, security protocols, and anonymization techniques, with particular expertise in national identity card systems, mobile authentication, and reputation management. He has developed innovative approaches to secure identity verification that balance privacy concerns with authentication requirements. His publication record from 2005-2020 demonstrates consistent contributions to security research, with recent work addressing post-quantum cryptography applications and mobile identity verification systems. Dr. Müller has collaborated extensively with industry partners, particularly NEC, on projects related to secure identity management and reputation systems. Dr. Müller holds multiple patents in identity verification and security systems, demonstrating the practical impact of his research. His work bridges theoretical security concepts with real-world implementations, particularly in the domain of electronic identity systems and secure transactions. As an educator, Dr. Müller has taught courses on IT security fundamentals, electronic identity systems, and programming fundamentals since 2018. His teaching reflects his research expertise, providing students with both theoretical foundations and practical applications of security principles. His laboratory work centers around the BeID-lab and related projects, where he develops and tests secure identity management systems, mobile authentication solutions, and cryptographic protocols for real-world applications.

• Cybersecurity
• Identity Management
• Cryptography
• +5 more

Gianluca Bontempi is a Professor in the Department of Computer Science at the Université Libre de Bruxelles (ULB), Faculty of Sciences. His research spans machine learning, time series forecasting, and big data analytics, with significant applications in credit card fraud detection, biomedical engineering, and causal inference. He leads projects on adaptive learning systems, financial cybersecurity, and high-dimensional data modeling. Research Focus: Bontempi's work integrates theoretical machine learning with real-world challenges. Key areas include: Developing dynamic factor models for multivariate time series forecasting Designing incremental learning frameworks for fraud detection in evolving data streams Advancing causal inference methods for personalized decision-making Creating interpretable AI systems for biomedical and financial applications Publication Trends: His recent articles (2019–2026) show a strong emphasis on combating concept drift in financial fraud systems, improving fairness in feature selection, and enhancing cross-domain adaptation techniques. Methodological innovations in multi-task learning and adversarial modeling are recurrent themes. Awards & Recognition: No awards explicitly mentioned in the source text. Research Infrastructure: Bontempi collaborates with interdisciplinary teams across Europe on large-scale projects involving biomedical data (TCGAbiolinks), urban mobility (traffic forecasting), and AI ethics (CLAIRE COVID-19 initiative).

• Machine Learning
• Time Series Forecasting
• Credit Card Fraud Detection
• +3 more

Arne Boockmeyer is a PhD Student and Research Assistant at the Hasso Plattner Institute (HPI) in Potsdam since 2020, specializing in digital railway systems and distributed infrastructure validation. He holds an M.Sc. in IT-Systems Engineering from HPI (2017-2020) and a B.Sc. in the same field (2013-2016), with prior industry experience at SAP and miaplaza Inc. His research focuses on Railway Systems Simulation , Distributed Systems Testing , and Digital Infrastructure for Rail Transport , evidenced by 15+ publications between 2019-2025. Key contributions include SUMO-based railway simulation frameworks, PlanPro-to-SUMO conversion pipelines, and wireless safety systems for rail-road intersections. His work bridges academic research with industry applications, particularly with Deutsche Bahn and EULYNX standardization initiatives. Boockmeyer has served as Lecturer for the Digital Rail Summer School annually from 2020-2023 (Master's level). His publication trend shows increasing focus on railway digitalization (70% of 2023-2025 papers), with core methodologies in co-simulation techniques (35%), testbed development (25%), and IoT integration (20%). Teaching and professional activities include: Digital Rail Summer School Lecturer (2020-2023) iOS/Internal Tool Development at miaplaza Inc. (2014-2022) Internship at SAP Vancouver (2016-2017)

• Railway Systems Simulation
• Distributed Systems Testing
• IoT Systems Validation
• +3 more