Find Academic Supervisors

• Software Architecture
• Microservices
• Cloud Computing
• +7 more

Uwe Zdun is a Professor at the Faculty of Computer Science, University of Vienna, where he serves as Vice-Director of Studies for Computer Science and Head of the Research Group Software Architecture. His teaching portfolio includes core courses such as Software Engineering 2, Advanced Software Engineering, and Practical Software Courses for Bachelor's and Master's theses across multiple semesters (2024W-2025S). His research spans software architecture with emphasis on microservices, cloud computing, and DevOps. Key focus areas include architectural design decisions, infrastructure-as-code conformance, security in distributed systems, and the integration of machine learning operations (MLOps/RLOps). He investigates cognitive aspects of architecture practices through controlled experiments and develops model-driven approaches for quality assessment in complex systems. Recent publications (2024-2026) reveal three dominant trends: (1) Security and coupling analysis in infrastructure-as-code deployments, (2) MLOps/RLOps integration for Industry 4.0 cyber-physical systems, and (3) Performance optimization patterns for CI/CD pipelines and autoscaling. His work bridges theoretical architecture models with industrial practice, particularly in microservice ecosystems and reinforcement learning applications. Professor Zdun leads the Research Group Software Architecture at the University of Vienna's Faculty of Computer Science. The group focuses on empirical validation of architectural patterns, tool development for conformance checking, and advancing design decision methodologies in cloud-native and AI-driven systems.

Sudip MittalView profile

Assistant Professor

• Cybersecurity
• Artificial Intelligence
• Cyber-Physical Systems

Dr Sudip Mittal is an Assistant Professor in Computer Science & Engineering at Mississippi State University and Associate Research Director of the PATENT Lab. His research spans cybersecurity, artificial intelligence, and cyber-physical systems, with a focus on building self-protecting systems and predictive security for unmanned vehicles. He leads the SECRETS Lab and has published over 70 papers in top venues, with work featured in The LA Times and WIRED. Research interests include: Autonomous intrusion response systems AI-driven threat detection in IoT/CPS Adversarial machine learning His publications (2019-2025) show a strong emphasis on AI security applications, particularly in malware detection, healthcare compliance, and anomaly detection using large language models. Recent articles explore MLOps security, adaptive cyber defense, and synthetic data generation for critical systems.

• Computer Systems Security
• Software Supply Chain Security
• Distributed Systems Security
• +3 more

Santiago Torres-Arias is an Assistant Professor at Purdue University, affiliated with the Elmore Family School of Electrical and Computer Engineering . His research spans computer systems security , software supply chain security , and applied cryptography . Campus: West Lafayette, Indianapolis Office: BHEE 324B Contact: santiagotorres@purdue.edu , +1 765-496-6610 Research Interests: Computer systems security Software supply chain security Distributed systems security Applied cryptography Password storage mechanisms Publication Trends: His recent work focuses on software supply chain security , including code signing , provenance mechanisms , and IoT vulnerabilities . Key projects address Sigstore , DevSecOps , and zero-trust dependencies . Scientific Awards: Advising & Grants: No student details provided No grant information listed

• Software Engineering
• Cyber-Physical Systems
• Digital Ecosystems
• +3 more

Tero Päivärinta is a Professor at the University of Oulu, Faculty of Information Technology and Electrical Engineering. His work focuses on software engineering, digital ecosystems, and cybersecurity. He specializes in empirical studies of software systems, digital twins, and autonomous driving technologies. His research explores hybrid intelligence systems, data-centric decision-making, and governance of collective ambidexterity in digital initiatives. Education: PhD holder with extensive experience in academic and industry collaborations. Key research domains include cyber-physical systems, DevSecOps automation, and IT governance in public sectors. He co-leads projects such as the NUVE Lab’s vehicle testing frameworks and contributes to initiatives like the Software-Defined Vehicle project. Research highlights include advancing knowledge graphs for manufacturing, cybersecurity compliance in DevOps pipelines, and evaluating data-driven decisions. His articles emphasize interoperability challenges, adaptive systems design, and sustainable digital transformation in public utilities. Professional contributions include organizing the TKTP Annual Symposium and co-editing volumes celebrating academic peers like Markku Oivo. His work bridges theoretical software engineering with practical applications in mobility, governance, and industrial systems.

Khandaker Mamun AhmedView profile

Assistant Professor

• Computer Vision
• Federated Learning
• Cybersecurity
• +4 more

Dr. Khandaker Mamun Ahmed is an Assistant Professor at The Beacom College of Computer & Cyber Sciences, Dakota State University. He teaches undergraduate and graduate courses in artificial intelligence, algorithms, and data structures. He holds a Ph.D. in Computer Science from Florida International University (2024), an M.Sc. from the same institution (2023), and a B.Sc. in Software Engineering from the University of Dhaka (2016). His research focuses on computer vision, federated learning, cybersecurity, explainable AI, vision-language models, and optimization algorithms. He has contributed to peer-reviewed publications and conference presentations, with notable work in federated learning for IoT, anomaly detection in videos, and AI applications in healthcare and agriculture. Recent articles highlight advancements in federated learning frameworks, AI-driven healthcare systems, and real-time object detection using neural networks. His work also addresses cybersecurity challenges in DevOps pipelines and generative AI for educational datasets. Recipient of the 'Best graduate student in research award' (2022), Dr. Ahmed advises on AI ethics and mentors students through academic-industry collaborations. His research bridges theoretical computer science with practical applications in agriculture, healthcare, and infrastructure monitoring.

Ricardo Melo CzeksterView profile

Lecturer

• Cyber Threat Intelligence
• Cyber-Physical Systems
• Risk Assessment
• +3 more

Ricardo Melo Czekster is a Lecturer in Software Engineering & Cybersecurity at Aston University's School of Computer Science and Digital Technologies. His research develops methods for securing critical infrastructure through formal modeling and threat intelligence. Education: PhD in Performance Evaluation, Pontifical Catholic University of Rio Grande do Sul (2010) MSc in Analytical and Environmental Chemistry, University of Benin (2009) BSc in Industrial Chemistry, Ambrose Alli University (2004) Research Focus: Czekster specializes in cybersecurity for cyber-physical systems, particularly smart grids and active buildings. His work develops STIX-based threat intelligence frameworks, attack path modeling with BDMPathfinder, and dynamic risk assessment methods. Recent projects address security in medical IoT and transportation systems. Teaching: Leads modules on Secure Programming, Security Governance, and Secure Software Delivery.

Muhammad UsmanView profile

Senior Lecturer

• Cloud Computing
• Edge Computing
• Distributed Systems
• +7 more

Dr. Muhammad Usman is a Senior Lecturer at the Department of Mathematics and Computer Science, Karlstad University, Sweden. His research focuses on cloud and edge computing, distributed systems, performance observability, DevOps automation, and networked systems. He holds a B.S. from NUST (Pakistan), and integrated M.S./Ph.D. from GIST (South Korea). He teaches master's-level courses in Distributed Systems and Cloud Computing. His research interests include optimizing container orchestration for edge-IoT workloads, developing AI-driven frameworks for industrial IoT (e.g., AIDA), and enhancing observability of distributed systems through frameworks like DESK and SmartX. His work often addresses challenges in resource efficiency, scalability, and fault detection in edge and cloud environments. Notable contributions include benchmarking lightweight container orchestration platforms, designing cost-effective testbeds for DevSecOps, and creating visualization frameworks for SDN-enabled clouds. His publications span topics from IIoT lifecycle management to intent-based network control. Usman actively collaborates internationally, with projects involving institutions like GIST, Aalto University, and the IEEE community. His work bridges theoretical research and practical applications in edge computing and cloud-native systems.

• Information Systems Engineering
• Privacy Threat Modeling
• IoT Security
• +4 more

Dimitri Van Landuyt serves as an Associate Professor in the Department of Computer Science at KU Leuven , affiliated with the Information Systems Engineering Research Group (LIRIS) . He leads and co-promotes multiple high-impact research projects focused on security and privacy engineering, including initiatives on model-driven security risk analysis , privacy by design , and IoT security . His work spans GDPR compliance, synthetic data management, and threat modeling innovations. Academic Leadership : Member of the Council of FEB and Campus Council Leuven/Kortrijk Research Pillars : Privacy threat modeling, security automation, IoT systems, GDPR technical implementation His publications demonstrate expertise in privacy-enhancing technologies, with recent work analyzing LLM applications in threat modeling, developing tree-based privacy analysis frameworks, and creating adaptive trust management architectures. He explores serious games for security training, synthetic data quantification standards, and runtime threat assessment mechanisms. Dimitri contributes to educational programs through courses in ICT Service Management , Security & Privacy by Design , and Research Methodologies . He supervises student research while collaborating with industry and academia on data protection challenges.

• Computer Science
• Artificial Intelligence
• Robotics

Gonzalo Esteban Costales is a researcher affiliated with the University of Leon from 2012 to 2025, specializing in Computer Science and Artificial Intelligence within the Robotics research group. His work bridges haptic simulation, robotics, and educational technology. Education: Ph.D. in Computer Science (2020), University of Leon, with a thesis on haptic simulators for expert knowledge transfer . Research Interests: Haptic simulation for surgical training and rehabilitation Robotics security in industrial environments Educational technology frameworks Version control analytics for student performance Open-source vulnerability detection tools Key Article Trends: Recent publications focus on haptic workspace optimization, threat modeling for robotic production plants, and security enhancements in continuous integration workflows. His work spans simulation design, cybersecurity, and educational applications of robotics.

Kari SmolanderView profile

Professor

• Software Engineering
• Cloud Computing
• Digital Transformation
• +4 more

Kari Smolander is a Professor in Software Engineering at the LUT School of Engineering Sciences, Finland. They focus on cloud computing, digital transformation, and software development practices. Research Interests Smolander's research spans serverless computing, cloud migration strategies, DevOps, and digital identity architecture. Their work examines socio-technical challenges in platform ecosystems and enterprise software development. Publication Trends Recent publications (2024-2025) emphasize serverless computing frameworks, cloud integration challenges, and digital identity systems. Studies analyze AI adoption gaps, technical debt in cloud environments, and collaboration mechanisms in B2B platform development. Software Engineering Leadership As a faculty member, Smolander contributes to advancing cloud-native software practices through empirical studies and conceptual frameworks for modern digital infrastructure.

Benjamin EzeView profile

Adjunct Professor

• Big Data Analytics
• Cloud Data Warehousing
• Health Data Analytics and Integration
• +8 more

Benjamin Eze is a part-time and adjunct professor at the School of Engineering Design and Teaching Innovation within the University of Ottawa . He holds a PhD in Digital Transformation and Innovation, an MSc in Electronic Business Technologies, and a BSc in Computer Engineering. Professionally, he serves as Lead Architect at Next Pathway Inc. and Business Intelligence Partner with Champlain Ontario Health at Home. Education: PhD – Digital Transformation and Innovation (University of Ottawa) MSc – Electronic Business Technologies (University of Ottawa) BSc – Computer Engineering Benjamin specializes in Big Data Analytics , Healthcare Data Privacy , Cloud Computing , and AI in Software Engineering . His work bridges technology and healthcare, focusing on secure data integration and digital transformation. Scientific Awards: Holds two patents in Canada and the United States Benjamin's research spans healthcare data governance, cloud infrastructure (DevOps, DevSecOps), and privacy-preserving technologies. His publications emphasize systematic approaches to data anonymization, cloud-based healthcare monitoring, and ethical AI frameworks. He teaches in upskilling programs at the University of Ottawa’s Professional Development Institute, FxInnovation, and CENGN CloudCampus DevOps programs, while collaborating with organizations like Cisco, Montfort Hospital, and Accreditation Canada.

Pantaleone NespoliView profile

Researcher

• Cybersecurity
• Cyber defense
• Data analysis
• +3 more

Pantaleone Nespoli is a postdoctoral researcher at the University of Murcia's Department of Information and Communications Engineering. He holds a PhD (cum laude) and Master's degree (110/110 cum laude) from the University of Naples Federico II, Italy. His research focuses on cybersecurity, cyber defense, IoT security, and SIEM systems. He is affiliated with CyberDataLab UMU and has contributed to projects like DEFENDER, COBRA 2.0, and EU-GUARDIAN, addressing AI-driven cyber defense and threat simulation. Education: PhD in Cybersecurity (2021, University of Murcia), M.Sc. in Computer Engineering (2017, University of Naples), B.Sc. in Computer Engineering (2013, University of Naples). Professional experience includes internships at NEC Labs EU and research collaborations with institutions like INCIBE and the Ministry of Defence. Research Interests: Cybersecurity frameworks, intrusion detection systems (IDS), SIEM integration, cyber deception tactics, and AI applications in defense. He emphasizes practical solutions for IoT security and cyber range training platforms. Notable Projects: EU-GUARDIAN (€13M+ funding) for AI-based cyber incident management, DEFENDER targeting IoT/5G/IoC security, and CDL-TALENTUM for cybersecurity workforce development. Awards include the Clusit Thesis Award (2018) and Ericsson Innovation Awards recognition. Labs/Teams: Active in CyberDataLab UMU, developing cutting-edge tools like SCORPION Cyber Range for gamified cybersecurity training and deception-based defense systems.

Sami HyrynsalmiView profile

Professor

• Software Engineering
• Information Systems
• Administrative Information Systems
• +6 more

Sami Hyrynsalmi is a Professor of Software Engineering at the LUT School of Engineering Sciences, Lappeenranta–Lahti University of Technology (LUT University), Lahti Campus. He has held academic positions including Associate Professor (tenure track) at LUT University (2019–2023), and prior roles at Tampere University (2020–2023) and the University of Turku (2007–2016). He earned his Doctor of Science in Technology (2014) and Master of Science in Technology (2009) from the University of Turku. Research Focus: Software engineering, information systems, software ecosystems, agile development, DevOps, blockchain ethics, quantum computing applications, and software product management. Publications: Authored over 20 journal articles and 80 conference/workshop papers, with work appearing in journals like Information and Software Technology , IEEE Access , and Computers in Human Behavior . Collaborations: Frequent collaborations with institutions such as Tampere University, University of Turku, and international researchers on topics like 6G ecosystems, DevOps challenges, and blockchain compliance. Employment Timeline: 2023–Present: Professor of Software Engineering, LUT University. 2019–2023: Associate Professor (tenure track), LUT University. 2020–2023: Employment at Tampere University. 2007–2016: Roles at the University of Turku and Turku School of Economics.

Muhammad Azeem AkbarView profile

Associate Professor

• Software Engineering
• Artificial Intelligence
• Large Language Models
• +10 more

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.

• Software Engineering
• Software Evolution
• Open Source Ecosystems
• +6 more

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.