جست‌وجوی استاد و پژوهشگر

Zheying Zhangمشاهده پروفایل

مدرس

• Requirements Analysis
• Domain Modelling
• Quality Assurance
• +۱۰ مورد دیگر

Zheying Zhang is a Lecturer at Tampere University within the Faculty of Information Technology and Communication Sciences , Department of Computing Sciences . She holds a Ph.D. in Computer Science and Information Systems from the University of Jyväskylä (2004) and was awarded a Docent (Adjunct Professor) title in Software Development from the University of Tampere (2013). Education: Ph.D. (2004), Docent (2013) Her research focuses on Requirements Engineering , with specific interests in Requirements Analysis Domain Modelling AI-Assisted Requirements Management Software Quality Assurance Process Improvement Data-Driven Software Development Medical Device Software Current Master's thesis topics include AI for Software Engineering, DevOps pipelines, and cross-disciplinary software ethics. Recent publications highlight trends in AI applications for requirements management, software evolution analysis , and accessibility testing . She actively supervises PhD candidates like Xiaozhou Li and Wenhui Lu, with works spanning open-source projects and medical software quality. Scientific Contributions: 54 research outputs (2003-2025), including 3 2025 conference papers

Muhammad Azeem Akbarمشاهده پروفایل

دانشیار

• Software Engineering
• Artificial Intelligence
• Large Language Models
• +۱۰ مورد دیگر

Muhammad Azeem Akbar is an Associate Professor in the Software Engineering Department at LUT University, Finland, with a multidisciplinary research focus on integrating software engineering with large language models (LLMs), data analytics, artificial intelligence, and emerging technologies. He earned his Ph.D. in Software Engineering from Chongqing University, China, in 2019, followed by postdoctoral research at Nanjing University of Aeronautics and Astronautics and LERO – The Irish Software Research Centre. His career includes contributions to projects like the Automated Code Recommendation System, Huawei’s Software Trustworthiness initiative, and leadership in the 6GSoft project funded by Business Finland. Current position: Associate Professor, LUT School of Engineering Sciences Education: Ph.D. in Software Engineering (Chongqing University, 2019) His research spans three core areas: Software Engineering : Specializing in software process improvement, requirements engineering, change management, DevOps/DevSecOps, and global software development. He has developed maturity models, decision-support frameworks, and prioritization taxonomies to enhance software efficiency. AI and LLMs in Software Engineering : Focused on AI-driven code recommendation, defect prediction, test case generation, and requirements analysis. His work also examines ethical implications and trustworthiness of AI tools, including generative AI like ChatGPT. Emerging Technologies : Pioneering research at the intersection of software engineering with quantum computing, 6G, blockchain, IoT, and MLOps. He has proposed predictive models for quantum software development and secure frameworks for blockchain-enabled DevOps. Notable projects include the €3.2 million Code Recommendation System Improvement (China), €1.5 million Towards Zero-Touch Testing (Jiangsu-Nanjing), and contributions to EU Horizon proposals. He has published over 125 articles and collaborates with institutions like Huawei, King Saud University, and EU consortia. His teaching and research emphasize empirical and evidence-based approaches to address real-world challenges in modern software systems, with a focus on human-AI collaboration, cybersecurity, and smart cities.

• Artificial Intelligence
• Machine Learning
• Edge Computing
• +۴ مورد دیگر

Sergio Moreschini is a Postdoctoral Researcher in Computing Sciences, focusing on Artificial Intelligence, Edge Computing, and MLOps. His research explores the integration of AI techniques in microservices, cloud-edge continuum systems, and distributed home automation frameworks. He has contributed to foundational studies such as a Systematic Mapping Study on AI in Microservices Life-Cycle and developed frameworks like Flexconnect for mobile computational offloading. Education: He holds a Bachelor of Science in Technology (2012) and a Higher-Degree in Computing from Università Degli Studi Roma Tre (2016). His work aligns with UN Sustainable Development Goal 4 (Quality Education) through contributions to educational tools and methodologies. Research Interests : Moreschini investigates AI lifecycle management, edge-cloud system orchestration, vulnerability analysis in open-source components, and generative AI applications in software architecture. Key areas include fault-tolerant distributed systems, cognitive cloud continuum frameworks, and MLOps tool ecosystems. Recent Trends in Publications : Recent work emphasizes MLOps adoption challenges, self-organizing edge computing for visual SLAM, and best practices in resource provisioning for cognitive systems. He has explored trade-offs between continuous training and transfer learning in edge environments, and evaluated vulnerability severity metrics in open-source software. Awards : Won the Best Paper Award in 2022 for contributions to industrial edge service scheduling. Data Contributions : Co-created datasets like RARE (cloud-native memory anomalies) and CIVIT (integral microscopy recordings). His collaborative projects include the 6GSoft initiative for edge-cloud continuum systems and the OSSARA tool for open-source component risk assessment. Active in international conferences like IoT and SEAA, he bridges academic research with industrial applications in edge computing and AI infrastructure.

• Software Engineering
• Cybersecurity
• Test Case Prioritization
• +۴ مورد دیگر

Dr. Alina Torbunova is a Researcher in the Department of Information Technology at Åbo Akademi University's Faculty of Natural Sciences and Engineering. Her work focuses on software engineering, cybersecurity education, and testing methodologies. Research Assistant, Faculty of Natural Sciences and Engineering Department of Information Technology Åbo Akademi University Research Interests: Integration of security concepts in programming education Test case prioritization algorithms (dynamic and static) Secure coding practices in industrial settings Development of security frameworks for software engineering Publication Trends: Recent work emphasizes security education in programming curricula (2025), systematic approaches to teaching security concepts (2024), and dynamic test case prioritization techniques (2024). Projects: FAST: Finnish Software Engineering Doctoral Research Network (Coordinator) Research Cybersecurity Training Cooperation Network (Project Associate)

• Requirements Engineering
• Software Engineering
• Customer Value Creation
• +۴ مورد دیگر

Marjo Kauppinen serves as Professor of Practice in Software Engineering within Aalto University's Department of Computer Science, leading research at the intersection of requirements engineering and customer value creation. Her two-decade career focuses on translating user needs into effective digital services through roadmapping and solution planning methodologies. Her research trajectory demonstrates a strategic evolution from foundational requirements engineering toward contemporary ethical AI challenges. Recent work (2020-2025) pioneers frameworks for integrating transparency and explainability requirements into AI development, addressing critical gaps between ethical guidelines and practical implementation. Concurrently, she maintains active contributions to software ecosystem research, examining planning-phase dynamics and minimum viable product impacts. Key publication trends reveal three interconnected research streams: (1) Ethical AI requirements specification, (2) Software ecosystem governance, and (3) Continuous value validation through experimentation. This triad reflects her consistent focus on bridging theoretical requirements processes with real-world business value creation. Her scholarly recognition includes: Best Paper Award at the 11th International Conference on Requirements Engineering (2007) Distinguished Paper Award at the 15th International Conference on Requirements Engineering (2011) Kauppinen actively mentors master's thesis students while contributing to academic discourse through program committee roles at major requirements engineering conferences and editorial board membership for the Requirements Engineering Journal. Her leadership extends to the Software and Service Engineering research group where she drives collaborative projects examining emerging software development paradigms. Embedded within Aalto's Department of Computer Science, her work maintains strong industry connections through practical case studies examining real-world implementation challenges across healthcare, public sector, and commercial software ecosystems.

Jari Porrasمشاهده پروفایل

استاد

• Software Engineering
• Distributed Systems
• Human-Computer Interaction
• +۵ مورد دیگر

Jari Porras is a Professor of Software Engineering (specializing in Distributed Systems) at Lappeenranta-Lahti University of Technology LUT. He holds visiting professorships at Aalto University (Finland) and the University of Huddersfield (UK). His research spans distributed systems, human-computer interaction, and sustainability in ICT, with a recent focus on human and sustainability aspects of software engineering. D.Sc. (Tech) in Computer Science from LUT (1998) 500+ supervised Master’s theses and 27 examined doctoral dissertations External evaluator for 28 doctoral theses since 2000 His research interests include: Parallel and distributed computing Wireless and mobile systems Sustainable ICT Human and sustainability aspects of software engineering Wearable technology usability Big data and its organizational implications Recent publications focus on security-usability alignment, sustainability integration in software engineering, wearable technology adoption, and big data applications. He collaborates internationally and has co-authored works with researchers from multiple institutions.