جست‌وجوی استاد و پژوهشگر

• Cybersecurity
• Brain-Computer Interfaces
• Extended Reality
• +۳ مورد دیگر

Andrei Costin serves as a Senior Lecturer at the Faculty of Information Technology, University of Jyväskylä, where he actively contributes to the Secure Communications Engineering and Signal Processing (SCSP) research group. The SCSP group specializes in signal processing and communication systems, developing innovative methods for network and resource management with security as a foundational principle. His research spans critical cybersecurity frontiers including Brain-Computer Interfaces (BCI) and Extended Reality (XR) ecosystems, where he investigates privacy vulnerabilities, monetization frameworks, and attack vectors for emerging Internet-of-Brains (IoB) systems. Additional focus areas encompass IoT malware evolution, firmware security reproducibility, vulnerability prediction using AI (e.g., ChatGPT for CVE analysis), and cryptographic hardening of critical infrastructure like aviation ADS-B systems and maritime AIS networks. His work bridges neuroscience, communication engineering, and software security to address next-generation threats. Dr. Costin's 2024 publications reveal a cohesive research trajectory toward interdisciplinary security solutions, particularly emphasizing cryptographic implementations (ECDSA) for resource-constrained environments including distress beacons and XR-BCI interfaces. A significant portion of his work addresses practical industrial challenges through SBOM implementation in DevSecOps pipelines and vector database applications for threat intelligence, demonstrating strong industry-research alignment. Scientific Awards: No scientific awards were documented in the provided materials Advising and Grants: While specific student supervision or grant details weren't disclosed, his collaborative publication pattern (10+ co-authored papers in 2024) indicates active research team leadership. His work with COSPAS-SARSAT and aviation/maritime security protocols suggests potential industry partnerships with critical infrastructure stakeholders. Laboratories and Teams: Secure Communications Engineering and Signal Processing (SCSP) Research Group: Focuses on wireless/wired communication security, developing signal processing methodologies for secure network resource management with applications in critical infrastructure protection

Hans-Wolfgang Loidlمشاهده پروفایل

دانشیار

• Functional Programming
• Parallel Programming
• Program Analysis
• +۷ مورد دیگر

Hans-Wolfgang Loidl is an Associate Professor at the School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh. His primary research areas include functional programming, parallel computation, program analysis, symbolic computation, and high-performance machine learning with applications in embedded systems, FinTech, and health informatics. He leads the dependable systems group and serves as Senior Programme Director for Computer Science, chairing the Undergraduate Board of Studies and leading the 2025 Academic Review. Member of dependable systems group Coordinated SICSA MultiCore Challenge Hosted 2nd International Summer School on Advances in Programming Languages in 2014 He designs and implements programming languages for easy-to-use parallelism (Glasgow Parallel Haskell, Glasgow Distributed Haskell, mobile Haskell) and focuses on formal guarantees for resource bounds. Recent expansions include computer security (Secrious project EP/T017511/1) via serious games, high-performance machine learning for FinTech (BA grant + industry PhD), and Brain-Computer Interfaces (EPSRC proposal). His research output spans 1999–2025, including 64 peer-reviewed publications and 5 datasets. Notable works include articles on parallel Haskell dialects (PAEAN), NUMA performance analysis, unikernel benchmarking, and playful learning exercises for security education. He offers PhD projects in functional programming, parallel programming, and high-performance machine learning applications. His teaching vision emphasizes strategic focus in software engineering education, with courses on industrial programming, hardware-software interfaces, and parallel/distributed technology.

• Software Engineering
• Software Evolution
• Open Source Ecosystems
• +۶ مورد دیگر

Tom Mens is a Full Professor at the University of Mons (UMONS), where he leads the Software Engineering Department and serves as President of the INFORTECH Research Institute. He teaches software engineering and programming languages to undergraduate and graduate students, and actively participates in doctoral training programs. His research focuses on several interconnected domains: Software Evolution : Studying long-term software system changes Open Source Ecosystems : Analyzing community dynamics and dependencies Model-Driven Engineering : Developing model-based software methodologies Software Quality : Ensuring reliability and maintainability Empirical Studies : Quantitative analysis of development practices Recent publications (2023-2025) demonstrate strong research trends in GitHub ecosystem analysis, including bot detection techniques, security vulnerabilities in CI/CD pipelines, dependency management challenges, and workflow automation studies. This work frequently involves developing specialized tools and creating benchmark datasets for empirical validation. Professor Mens has supervised multiple PhD students including N. Chidambaram (bot identification), T. Bosser (temporal event modeling), and M. Golzadeh (bot detection in social coding). He directs the Software Engineering Laboratory at UMONS and leads the INFORTECH Research Institute, fostering collaborations in software technology and complex systems research.

Patrick Stöckleمشاهده پروفایل

مدرس

• IT Security
• Security Configuration
• Cloud Security
• +۳ مورد دیگر

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.

• Software Engineering
• Cybersecurity
• IoT and Sensor Networks
• +۳ مورد دیگر

Assoc. Prof. Tosin Daniel Oyetoyan is affiliated with the Department of Computing, Mathematics, and Physics at the Western Norway University of Applied Sciences. His academic role focuses on software engineering, cybersecurity, and marine data systems. He leads research in software architecture design, IoT security, and environmental data management. His work bridges theoretical software principles with practical applications in marine technology and agile methodologies. Research Interests: Software architecture patterns for heterogeneous systems Cybersecurity in IoT and cloud environments Data observability and quality in marine sensor networks Empirical analysis of developer security practices API specification repositories and governance His recent publications (2020-2025) emphasize software systems for marine data observatories, cybersecurity in agile teams, and formal specification of environmental monitoring platforms. Noteworthy trends include cross-disciplinary approaches combining software engineering with environmental science. Scientific contributions include frameworks for threat analysis in IoT, empirical studies on developer security competencies, and modular smart ocean observatory designs. His work on data quality requirements for marine systems has informed international standards development. Current projects focus on: Formal specification of marine data platforms Executable architectures for environmental monitoring Agile security practices in distributed teams

Ricardo Colomo-Palaciosمشاهده پروفایل

استاد

• Human Factors in Computing
• Project Management in Information Systems Development
• Global & Distributed Software Engineering
• +۷ مورد دیگر

Ricardo Colomo-Palacios is a Full Professor at the Department of Computer Science and Communication at Østfold University College, Norway. He coordinates the DigiTech research group associated with the Digital Society research priority area. Previously, he worked at Universidad Carlos III de Madrid, Spain. His educational background includes a PhD in Computer Science from Universidad Politecnica of Madrid (2005) and an MBA from the Institute of Empresa (2002). He has professional experience as a Software Engineer, Project Manager, and Software Engineering Consultant, including work at INDRA, a leading Spanish IT company. Colomo-Palacios' research spans several interconnected areas focusing on human aspects of computing and software engineering. His primary interests include Human Factors in Computing, Project Management in Information Systems Development, Global & Distributed Software Engineering, and Systems, Services and Software Process Improvement & Innovation. He also investigates Management Information Systems, Computing Profession Studies, Business Software, and Innovation in IT, with recent work emphasizing cybersecurity applications in critical infrastructure. His recent publications demonstrate a strong focus on cybersecurity applications in critical infrastructure, DevSecOps frameworks, visual analytics for supply chains, and social robotics security. The research shows a clear trend toward integrating security practices throughout the software development lifecycle while addressing real-world challenges in critical systems and infrastructure. He leads several significant research projects including DigiMat (Smart, transparent and sustainable food supply chains), EduTech (Technological assistance to accessibility in Virtual Higher Education), RECYCIN (Reinforcing Competence in Cybersecurity of Critical Infrastructures), and SecuRoPS (User-centred Security Framework for Social Robots in Public Space). As Coordinator of the DigiTech research group, Colomo-Palacios oversees research initiatives within the Digital Society priority area. His work bridges academic research with practical applications in industry, particularly in the areas of software engineering process improvement and cybersecurity for critical infrastructure.

• Artificial Intelligence
• Knowledge Representation and Reasoning
• Logic Programming
• +۵ مورد دیگر

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 Zhuمشاهده پروفایل

استاد

• Software Architecture
• Distributed Systems
• DevOps
• +۶ مورد دیگر

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.

• Software Engineering
• Mobile Security
• Program Analysis
• +۲ مورد دیگر

Jacques Klein is Full Professor of Software Engineering and Mobile Security at the University of Luxembourg. His research bridges software engineering principles with security challenges in modern computing environments. Research focuses on software security, mobile systems analysis, and increasingly on large language model applications for program analysis. Recent work examines Android ecosystem security, infrastructure-as-code vulnerabilities, and AI-enhanced program repair techniques. Klein's 2025 publications demonstrate strong emphasis on LLM capabilities for automated compliance checking, malware detection, and program understanding. The research combines empirical software engineering with AI methodologies to address security and maintenance challenges.

• Cybersecurity
• Cloud Security
• Applied Cryptography
• +۲ مورد دیگر

John Le is a Lecturer in Cyber Security at the School of Computing and Information Technology, University of Wollongong, within the Faculty of Engineering and Information Sciences. He obtained his PhD in Cybersecurity from the University of Technology Sydney (2020) and researches cloud security, applied cryptography, and machine learning applications in cybersecurity. He is a member of the Institute of Cybersecurity and Cryptology (iC2). Primary research areas include: Blockchain security and smart contract vulnerabilities Cloud infrastructure protection Adversarial machine learning Cybersecurity education innovations Recent publications focus on AI-enhanced cybersecurity education tools, blockchain oracles, and adversarial attack detection. His methodological work spans graph mining algorithms and lattice-based cryptography, with applications to network security automation. Notable funded projects: ARC Linkage Project: Blockchain-Based Quantum Safe for Secure Digital Medical Passport (2025-2027) Telstra-UOW Hub: LLMSecOps Framework for Pre-Employment Systems (2024-2025)

BJ Klingenbergمشاهده پروفایل

مدرس

• Agile Methods
• Test-Driven Development
• Design Patterns
• +۵ مورد دیگر

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 Farhanaمشاهده پروفایل

استادیار

• Machine Learning
• Data-Centric Artificial Intelligence
• Machine Learning Applications for Education and Healthcare
• +۲ مورد دیگر

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 Rahmanمشاهده پروفایل

استادیار

• Cybersecurity
• DevOps
• Software Engineering
• +۳ مورد دیگر

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
• +۳ مورد دیگر

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.

Jeffrey Yackleyمشاهده پروفایل

استادیار

• Software Engineering
• Software Testing
• Refactoring
• +۱۲ مورد دیگر

Jeffrey Yackley is an Assistant Professor of Computer Science in the Department of Computer Science, Engineering, and Physics at the College of Innovation and Technology, University of Michigan-Flint. He holds a Ph.D. in Computer & Information Science from the University of Michigan-Dearborn (2022), where he also earned his M.S. and B.S. in the same field, along with a B.Sc. in Biochemistry from the University of Michigan (2009). Ph.D. in Computer & Information Science, University of Michigan-Dearborn (2022) M.S. in Computer & Information Science, University of Michigan-Dearborn (2019) B.Sc. in Computer & Information Science, University of Michigan-Dearborn (2016) B.Sc. in Biochemistry, University of Michigan (2009) Dr. Yackley's research spans software engineering, software testing, refactoring, AI in education, cybersecurity, gamification, and educational technology. His work emphasizes both empirical software engineering and innovative pedagogical approaches, particularly active learning and gamification in computing education. He investigates refactoring practices, software quality, and trustworthiness in open-source software supply chains, while also exploring the impact of AI, VR, and digital platforms on learning outcomes. His recent publications in IEEE Access, IEEE FIE, ASEE, and Springer reflect a strong trend toward interdisciplinary research at the intersection of software engineering and education. He frequently publishes on AI-assisted learning, student engagement, and the ethical use of generative AI in computing education. His technical work includes refactoring detection, software testing, and cybersecurity tools, often developed through student-led projects. Golden Apple Award (2024, University of Michigan-Flint) Dara Knot Award (2024, UM-Flint Honors Program) MWIN Fellowship (2023, UM-Flint) Dr. Yackley actively mentors undergraduate and graduate students, advising numerous research projects and capstone teams. He has secured significant external funding, including an NSF REU site on digital accessibility and a Google Research Scholar award on software testing in open-source supply chains. His grants total over $2.5 million, supporting student research, innovation, and entrepreneurship. He leads the 'SSTEM: BlueShirting' project and contributes to initiatives on lean business models and secure authentication systems. He advises student teams on projects such as the TCP Cybersecurity Game, Automated Security Scanner, and Critical Path Tool, fostering hands-on learning and real-world problem solving. His lab environment emphasizes collaborative, student-centered research with practical impact.