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Patrick StöckleView profile

Lecturer

• IT Security
• Security Configuration
• Cloud Security
• +3 more

Patrick Stöckle is a Lecturer at the Technical University of Munich (TUM) and a Research Scientist at Siemens AG. His primary roles include cloud/container security research, academic teaching, and industry collaboration. He completed his Dr. rer. nat. (PhD) in Informatics at TUM (2017–2024), focusing on security configuration under Prof. Alexander Pretschner. Previously, he earned an M.Sc. (2017) and B.Sc. (2016) in Informatics from Karlsruhe Institute of Technology (KIT), specializing in software engineering and security. His research interests revolve around IT security configuration, DevSecOps automation, and secure software development. He co-developed tools like Scapolite for automated security hardening and contributed to industry standards like CIS Benchmarks. He has published at top conferences including IEEE/ACM ASE and ACM CODASPY. Teaching-wise, he led the Security Engineering course at TUM (2019–2022), introducing programming exercises that boosted student engagement. He also supervised 13 bachelor/master theses. He actively contributes to academic talks and industry workshops, focusing on container security, CI/CD optimization, and security configuration best practices.

• Artificial Intelligence
• Knowledge Representation and Reasoning
• Logic Programming
• +5 more

Tomi Janhunen is a Professor in Computing Sciences at Tampere University, part of the Faculty of Information Technology and Communication Sciences. His expertise spans Artificial Intelligence, Logic Programming, and Theoretical Computer Science. He actively contributes to academic leadership roles, serving on boards of the Finnish Association of Computer Science and Finnish Artificial Intelligence Society. His research focuses on Answer Set Programming (ASP), probabilistic reasoning systems, explainable AI, and optimization techniques applied to cybersecurity and maintenance scheduling. Key grants include the XAILOG and AI-ROT projects funded by the Research Council of Finland. Notable achievements include three prestigious awards: Best Paper Awards at the European Conference on Logics in AI (2021) and International Conference on Logic Programming (2023), and the Harold Boley award for system description (2022). Dr. Janhunen’s work emphasizes practical applications of declarative programming paradigms. Recent projects include Plingo—a probabilistic ASP system—and cybersecurity compliance frameworks in DevSecOps environments. His contributions bridge theoretical advancements with real-world challenges in AI security and industrial optimization.

Liming ZhuView profile

Professor

• Software Architecture
• Distributed Systems
• DevOps
• +6 more

Dr. Liming Zhu is a Conjoint Full Professor at the School of Computer Science and Engineering, University of New South Wales, and leads the Software and Computational Systems Research Program at Data61, CSIRO. This research program comprises over 200 personnel working across key technology domains including big data analytics infrastructure, computational science platforms, trustworthy systems, distributed systems, business process management, legal informatics, provenance tracking, behavior analytics, blockchains, and software engineering. His research expertise spans software architecture in enterprise and embedded systems, dependable and secure distributed systems, DevOps and continuous deployment methodologies, big data analytics infrastructure and pipelines, blockchain applications, software ecosystems, and model-driven development. His work intersects with multiple Fields of Research including Computer Software, Distributed Computing, Software Engineering, Computer System Security, and Data Security. Zhu's publication record demonstrates significant scholarly impact with 97 journal articles, 186 conference papers, 39 preprints, 7 book chapters, and 1 authored book. His research program at Data61 focuses on translating theoretical advances into practical systems that address real-world challenges in data management, system security, and software development processes. The research program has particular strength in developing infrastructure for computational sciences, including specialized applications in imaging processing and bioinformatics/life sciences. Software and Computational Systems Research Program, Data61, CSIRO (Leadership role) School of Computer Science and Engineering, University of New South Wales (Conjoint Full Professor) Dr. Zhu actively supervises PhD students at UNSW, having successfully guided 6 doctoral candidates to completion as primary supervisor. His teaching focuses on software architecture courses, connecting academic theory with industry practice. The research program he leads serves as a bridge between academic inquiry and practical application, working closely with industry partners to develop innovative solutions in data platforms, trustworthy systems, and software engineering practices.

BJ KlingenbergView profile

Lecturer

• Agile Methods
• Test-Driven Development
• Design Patterns
• +5 more

BJ Klingenberg is a Lecturer in the Computer Science Department at California Polytechnic State University (Cal Poly) in San Luis Obispo, California. He specializes in Software Engineering education, teaching courses such as Software Requirements, Construction, Deployment, and Capstone projects. His research interests include Agile Methods, DevOps/DevSecOps, Cyber Security, and Software Engineering career trajectories. He has been actively involved in the Software Engineering Capstone program, which partners with industry sponsors to develop real-world software solutions through student teams. Affiliations: Cal Poly CSC Department, SE Major Advising Courses Taught: CSC 307-406 series, Capstone I/II Dr. Klingenberg emphasizes practical industry alignment in curriculum, as evidenced by his involvement in the SE Capstone program structure and industry partnerships. He also maintains resources on software engineering career paths and educational prerequisites for students.

Effat FarhanaView profile

Assistant Professor

• Machine Learning
• Data-Centric Artificial Intelligence
• Machine Learning Applications for Education and Healthcare
• +2 more

Effat Farhana is an Assistant Professor in the Department of Computer Science and Software Engineering at Auburn University's College of Engineering. She holds a Ph.D. in Computer Science from North Carolina State University and a B.S. in Computer Science and Engineering from Bangladesh University of Engineering and Technology. Her research focuses on Machine Learning, Data-Centric AI, and their applications in education and healthcare, alongside empirical software engineering and natural language processing. She explores topics like student learning analytics, AI-driven educational tools, and defect analysis in software projects. Her work bridges cognitive science and AI through projects like theory of mind modeling for humans and AI systems, and developing frameworks for K-12 physics instruction. She also investigates software engineering challenges in infrastructure as code and pandemic-related software systems. Her contributions span both foundational AI research and applied educational technology solutions. Farhana's publications emphasize empirical studies of software defects, cognitive aspects of learning, and AI's role in improving education and healthcare systems. She collaborates on projects involving online learning platforms, science literacy tools, and cognitive-inspired neural architectures.

Akond RahmanView profile

Assistant Professor

• Cybersecurity
• DevOps
• Software Engineering
• +3 more

Akond Rahman is an Assistant Professor in the Department of Computer Science and Software Engineering at Auburn University. His research focuses on Cybersecurity, DevOps, and Software Engineering, with particular emphasis on securing infrastructure as code, container orchestration, and leveraging AI in software development. He has received multiple National Science Foundation (NSF) grants, including a three-year $553,295 grant to study software resilience in container orchestration. He actively contributes to cybersecurity education through hands-on labware modules and has been recognized for his work in quantum computing applications for malware detection. Education: Ph.D. Computer Science, North Carolina State University M.S. Computer Science and Engineering, University of Connecticut B.S. Computer Science and Engineering, Bangladesh University of Engineering and Technology Research Interests: Cybersecurity in DevOps pipelines Secure configuration management Quantum computing for malware classification Generative AI in software development Infrastructure as Code vulnerabilities His work has been featured in prominent venues like the International Conference on Software Engineering, and he collaborates with industry to bridge academic research and practical security solutions. Awards/Grants: NSF Grant: Resilient Operations for Deployment Units Used in Container Orchestration Principal Investigator on multi-institution cyber workforce development program Advising & Labs: Leads research in the Center for Artificial Intelligence and Cybersecurity Engineering at Auburn, focusing on practical implementations of secure DevOps practices and quantum-enhanced security tools.

• Software Engineering
• IT Security
• Cloud Systems Engineering
• +3 more

Diomidis Spinellis is a Professor at the Department of Management Science and Technology, Athens University of Economics and Business. He is a leading researcher in software engineering, IT security, and cloud systems engineering, with over 300 publications and 10,000 citations. He has authored award-winning books including Code Reading , Code Quality: The Open Source Perspective , and Effective Debugging: 66 Specific Ways to Debug Software and Systems (2016). As a Senior Member of ACM and IEEE, he served as Editor-in-Chief of IEEE Software (2015–2018) and contributed to open-source tools like CScout, UMLGraph, and dgsh. Award-winning author in software engineering Developer of critical open-source tools Editorial leadership in IEEE Software Contributor to macOS and BSD Unix His research spans code quality, software evolution, security, and developer productivity. Articles highlight Unix modernization, AI-assisted coding, dependency analysis, and incident management. He has served on the IEEE Computer Society Board of Governors and holds degrees from Imperial College London (MEng, PhD). Scientific contributions include open-source datasets (e.g., VulinOSS, Alexandria3k) and innovative tools for software analysis. His work bridges academic research and industrial practice, with case studies on Eclipse, Android APIs, and ING’s incident management.

Arif Ali KhanView profile

Associate Professor

• Quantum Software Engineering
• Software Process Improvement
• Multi-criteria Decision Analysis
• +8 more

Arif Ali Khan is an Associate Professor (Tenure Track) and Docent (Adjunct Professor) in the M3S Unit of Empirical Software Engineering at the University of Oulu, Finland. He holds a PhD in Software Engineering from City University of Hong Kong and has previously served at the University of Jyväskylä, Finland, and Nanjing University of Aeronautics and Astronautics, China. His expertise spans Quantum Software Engineering , DevOps , Microservices Architecture , and AI Ethics . Education: Bachelor of Science in Software Engineering, University of Science and Technology, Bannu, Pakistan MSc in Information Technology, Universiti Teknologi PETRONAS, Malaysia PhD in Software Engineering, City University of Hong Kong Research Interests: Khan focuses on advancing empirical software engineering practices in quantum computing, global software development, and ethical AI integration. Key areas include quantum software architecture, agile methodologies for quantum projects, and decision-making frameworks for DevOps and microservices systems. Projects: CLASSİ|Q⟩: Bridging Classical and Quantum Programming – Developing translation frameworks for hybrid systems SeQuSoS M3S – Securing quantum software stacks Labs/Teams: Member of the M3S Empirical Software Engineering Research Unit, focusing on evidence-based methodologies and industry collaboration.

Gayane SedrakyanView profile

Assistant Professor

• Artificial Intelligence
• Human-Computer Interaction
• Health Informatics
• +6 more

Gayane Sedrakyan serves as an Assistant Professor in the Department of Industrial Engineering & Business Information Systems, with research spanning computer science, healthcare, education, and food systems. Her work bridges theoretical frameworks with practical applications of emerging technologies across critical societal domains. Her research focuses on human-centric AI systems, particularly in health equity and educational technology. She investigates semantic interoperability in food systems, low-code security frameworks, and digital feedback mechanisms in post-pandemic education. Key areas include explainable AI for reproductive healthcare, privacy-aware agricultural data platforms, and chatbot integration in learning management systems, all emphasizing user experience and ethical design. Recent publication trends reveal three dominant trajectories: healthcare applications (human-centric recommender systems for health equity), educational innovation (AI chatbots in Education 5.0 and hybrid classroom feedback), and sustainable food systems (cross-sectoral data platforms and semantic tools). Her work consistently integrates process-oriented security in low-code development while addressing societal challenges through interdisciplinary approaches. Dr. Sedrakyan actively contributes to academic discourse through community building, having co-organized the 2023 Workshop on Controlled Vocabularies and Data Platforms for Smart Food Systems, which advanced collaborative research in food system digitization.

• Cybersecurity
• Secure Software Development
• Concurrent programming
• +3 more

Associate Professor Michael Mäder at Haute école d'ingénierie et d'architecture de Fribourg holds a position within the iSIS Institute (Institut des systèmes intelligents et sécurisés). He teaches in the BSc HES-SO in Computer Science and MSc HES-SO in Engineering programs, focusing on Distributed Programming, Cybersecurity, and Secure Software Development. His research emphasizes vehicular cybersecurity, DevSecOps practices, and enterprise IT security frameworks. Recent work includes a 2024 study on secure connected mobility infrastructure, a 2019 analysis of DevSecOps training methodologies, and a 2015 contribution to IT security maturity models. No scientific awards are listed in the provided materials. He advises students in computer science and engineering disciplines from his office at HEIA_C10.09, and his work contributes to both academic programs and industry partnerships through the iSIS research institute.

Tanwir AhmadView profile

Researcher

• Cybersecurity
• Intrusion Detection
• Network Security
• +6 more

Tanwir Ahmad is a Project Researcher at the Department of Information Technology within the Faculty of Science and Engineering at Åbo Akademi University, Finland. His research focuses on cybersecurity, software testing methodologies, and deep learning applications for network security. With an ORCID identifier (0000-0003-3416-2422) and active research profile, he contributes to both academic and industrial cybersecurity solutions through multiple funded projects. His research expertise centers on intrusion detection systems (100% fingerprint match), early attack detection (90%), and deep learning applications in security. Key contributions include metamorphic testing frameworks for industrial control systems, explainable AI for security operations, and model-based testing integration with DevOps pipelines. His work bridges theoretical security models with practical implementation in cloud and maritime domains, emphasizing real-time detection capabilities and performance optimization. Recent publications (2023-2025) demonstrate a clear trajectory toward AI-driven security solutions, with 60% of recent work focusing on deep learning applications for network attack detection. His systematic mapping studies reveal growing interest in reinforcement learning for security testing and MLOps integration in industrial contexts. The research consistently addresses the tension between detection accuracy and computational efficiency in resource-constrained environments. Notable recognitions include: Best Paper Award (2013) for model-based testing innovations in continuous integration Best Paper Award (2024) for contributions to security testing methodologies Ahmad actively participates in major research initiatives including EU Horizon 2020 projects (VeriDevOps, MegaM@Rt2) and Business Finland collaborations (VST, N4S, PAM). His supervision portfolio includes 2 graduate students, with research spanning cybersecurity tool development and testing framework optimization. Current projects focus on virtual sea trials, DevOps security automation, and runtime model validation in industrial systems. He collaborates within Åbo Akademi's cybersecurity research cluster, working closely with Professor Truscan's team on security testing frameworks and industrial applications. His work directly supports the UN Sustainable Development Goal 9 (Industry, Innovation and Infrastructure) through secure system development practices.

• Intelligent Software Systems
• Artificial Intelligence
• Human-Computer Interaction
• +5 more

Professor Haifeng Shen is a faculty member in the Discipline of Engineering and Information Technology at Southern Cross University’s Faculty of Science and Engineering. He holds dual senior memberships with ACM and IEEE and has led multiple academic roles including Head of Discipline, Research Lab Director, and HDR Discipline Chairperson. His research focuses on intelligent software systems, AI-driven interaction technologies, and real-world applications in defense, healthcare, education, sports, and sustainability. Education: PhD in Computing (Griffith University), MEng in Computer Architecture (Tianjin University), and BEng in Computer Applications (Tianjin University). He has taught across all academic levels, with expertise in online/blended teaching models and program accreditation leadership. Research leadership includes founding HilstLab at Australian Catholic University and organizing international conferences. His recent work emphasizes AI in software engineering (code review, vulnerability detection), IoT analytics, and human-AI collaboration in healthcare/education. Over 200 publications span topics like DevOps security, logging practices, and ADHD attention interface design. Awards: Not explicitly listed in provided texts but his roles and conference leadership suggest significant academic recognition. Professional service includes university committees on research ethics and HDR strategy.

Jonathan KnudsenView profile

Adjunct Associate Professor

• Cybersecurity
• Software Security
• Application Security
• +4 more

Jonathan Knudsen is an Adjunct Associate Professor at the Pratt School of Engineering , Duke University , and a Technical Security Evangelist at the Synopsys Software Integrity Group . He specializes in cybersecurity research , particularly in software vulnerability analysis, secure development lifecycle, and developer education. Education : B.S.E. in Mechanical and Aerospace Engineering from Princeton University (1993) His research focuses on: Software supply chain security Transitive dependencies in open-source components Security as a business enabler Developer-driven security practices He frequently contributes to the Synopsys Software Security Blog , analyzing vulnerabilities in sports betting apps, Android/iOS security, and tools like BIND 9 and Log4Shell. His work emphasizes integrating security into development workflows and shifting security left in DevOps.

• Software Engineering
• Distributed Systems
• Artificial Intelligence
• +4 more

Haifeng Shen is a Professor affiliated with the Peter Faber Business School. His research spans software engineering, distributed systems, machine learning, and medical informatics. Key areas include DevOps practices, cybersecurity, AI system robustness, and assistive technologies for attention disorders. His work integrates interdisciplinary approaches, such as applying CNNs for medical imaging and gaze-based interfaces for ADHD management. Recent studies focus on edge-cloud frameworks for robotics, federated learning for data clustering, and DevSecOps adoption challenges. Publications highlight contributions to code review systems, microservice root-cause analysis, and human-AI collaboration in image classification. His research emphasizes practical applications in healthcare, software development, and user-centric design.

Abel Yeboah-OforiView profile

Associate Professor

• Cyber Security
• Digital Forensics
• Cloud Computing Security
• +7 more

Dr. Abel Yeboah-Ofori is an Associate Professor in Cyber Security at the University of West London's School of Computing and Engineering. He holds a PhD in Cyber Security and has over 11 years of teaching experience at universities such as the University of East London. His expertise spans Cyber Security, Digital Forensics, and Computer Science, with a focus on cryptographic algorithms, cloud security, blockchain, and AI-driven threat detection. He is a certified Cyber Security Practitioner and Prince 2 Project Management Practitioner, and has contributed to high-level initiatives like the Commonwealth Cybercrime Initiative and the Global Cyber Security Capacity Centre's Maturity Assessment Program. Abel's research interests include enhancing cyber resilience in supply chains, mitigating social engineering attacks in emerging technologies like the Metaverse, and securing IoT devices for vulnerable populations. He actively participates in international workshops on cybercrime prevention, child online protection, and public sector fraud reduction. His work bridges academic research with practical applications, emphasizing ethical considerations in digital forensics and compliance frameworks in multi-cloud environments. He teaches a range of programs, including BSc/MSc Cyber Security, Digital and Technology Solutions, and Industrial IoT. His advisory roles include contributions to national cyber security policy development with the Ministry of Communications and the Council of Europe. While no specific scientific awards are listed, his involvement in global initiatives underscores his impactful contributions to the field. Abel’s research trends prioritize predictive analytics for cyber threats, blockchain security, and AI integration in cybersecurity. He explores the intersection of technology and human factors, particularly in contexts like accessibility and emerging economies. His publications highlight the need for adaptive security measures in evolving digital landscapes and the socio-technical dimensions of cybercrime.