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Ayse CoskunView profile

Professor

• Energy-efficient computing
• Cloud computing
• High performance computing
• +7 more

Ayse Coskun is a Professor in the Electrical and Computer Engineering Department at Boston University's College of Engineering. She serves as Director of the Center for Information and Systems Engineering (CISE) and as interim Associate Dean for Research and Faculty Development. Her research focuses on the intersection of computer systems, energy efficiency, and AI. Dr. Coskun received her PhD from the University of California, San Diego in 2009. Prior to joining academia, she worked at Sun Microsystems (now Oracle). Her research spans energy-efficient computing, cloud computing, high performance computing, computer architecture, and embedded systems, with recent work focusing on AI's impact on data center energy demands. Her publication record shows consistent innovation across multiple domains, with recent work emphasizing AI applications for improving cloud security (through frameworks like DeltaSherlock and Praxi) and transforming data centers into grid-responsive assets (Emerald AI project). Her research bridges theoretical advances with practical applications, resulting in tools adopted by industry partners including IBM. IBM Faculty Award (2020) Ernest S. Kuh Early Career Award (2017) NSF CAREER Award (2012-2017) Multiple best paper and artifact awards at top conferences As an educator, Dr. Coskun teaches courses including EC327 Introduction to Software Engineering, EC535 Introduction to Embedded Systems, and EC713 Advanced Computing Systems and Architecture. She has advised numerous PhD students including Mert Toslali, Anthony Byrne, and Burak Aksar. Her lab maintains strong industry partnerships with IBM, Intel, AMD, and Oracle, and collaborates with academic institutions worldwide including Brown University, MIT, EPFL, and CEA-Tech in France. Dr. Coskun leads the Coskun Lab, which secured a $500K grant from Sandia National Labs for AI-based analytics in high performance computing systems, demonstrating the practical impact of her research on critical computing infrastructure.

John HastingsView profile

Professor

• Machine Learning
• Artificial Intelligence
• Natural Language Processing
• +5 more

Dr. John Hastings is a Professor in the Department of Computer Science at Dakota State University, part of the Beacom College of Computer & Cyber Sciences. With nearly 35 years of experience, he specializes in teaching and curriculum development in computer science, combining academic rigor with industry insights from his roles as an AI/ML engineer, team leader, and business owner. Education: Ph.D., Computer Science, University of Wyoming M.S., Computer Science, University of Wyoming B.S., Computer Science, University of Wyoming Research interests include machine learning, AI applications in natural language processing (LLMs), generative AI, computer vision, ecological/environmental AI, AI in games, and gamification in education. Recent publications focus on cybersecurity challenges, AI ethics, and insider threat detection. His work has been recognized with awards such as the AAAI’s Innovative Applications of Artificial Intelligence (IAAI) Award and an International IPM Award for Excellence related to the CARMA AI tool. Teaching emphasizes active learning and practical skills, including courses on programming, data structures, AI, and cybersecurity. He advocates for gamification in education to enhance student engagement and success.

• 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.

Reda MastouriView profile

Adjunct Professor

• Artificial Intelligence
• Cybersecurity
• Data Science
• +3 more

Reda Mastouri is an Adjunct Professor in the Department of Data Sciences within the College of Computer and Information Sciences at Saint Peter’s University. He combines academic roles with 12 years of industry experience as a Lead Cyber Security Engineer and Product Consultant, collaborating with Fortune 200 and 500 companies. His teaching includes courses such as DS-520 Data Analysis, DS-530 Big Data, and CS-332 Advanced Computing. Ph.D., AI & Data Sciences, Saint Peter’s University M.Eng., Telecommunication and Network Engineering, ENSA-M Cadi Ayyad University M.S., Data Sciences, Saint Peter’s University B.S., Computer Sciences, New Jersey Institute of Technology B.A., Applied Mathematics, Rutgers University His scholarly work focuses on AI-driven algorithms for truth demystification and cluster computing applications in high-fidelity image/video forgery detection within cybersecurity. Additional expertise spans DevSecOps, enterprise architecture, and software economics, with a dedication to innovation in business strategy and technology integration. Dr. Mastouri’s research trends emphasize heterogeneous ad hoc networks, collaborative honeypot architectures, and blockchain-based security models for IoT. His work addresses distributed attack detection, false positive/negative reduction, and protocol optimization, aligning with his specialization in cybersecurity and artificial intelligence. Certified Splunk Super User Palo Alto Networks Certified Cybersecurity Associate (PCCSA) CyberArk Certified Trustee Certified Scrum Professional SFPC Certified 10-Hr OSHA Training for the Construction Industry Certified Project Management Essentials Certified (PMEC)™ Lean Six Sigma Yellow Belt (ICYB) CPR & AED Certified AWS Certified Developer Associate Scrum Foundation Professional Certificate NSE 1 Network Security Associate NSE2 Fortinet's Network Security Expert

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.

Pedro R. M. InácioView profile

Associate Professor

• Cybersecurity
• Information Security
• Computer Simulation
• +7 more

Pedro R. M. Inácio is an Associate Professor at the University of Beira Interior (UBI) , where he teaches information assurance, cybersecurity, and computer simulation courses in undergraduate and graduate programs. He serves as Pro-Rector for the Digital University and Data Protection Officer at UBI, and leads the Cross Cutting Skills Lab and the Network Security research group at Instituto de Telecomunicações. His work bridges academia and industry, including a PhD at Nokia Siemens Networks Portugal.

Bharanidharan ShanmugamView profile

Associate Professor

• IoT Security
• Cyber Risk Management
• Network Security
• +3 more

Dr. Bharanidharan Shanmugam is an Associate Professor in Information Technology at Charles Darwin University's Faculty of Science and Technology. He specializes in cybersecurity, IoT security, and cyber risk management in microgrids. His research focuses on addressing real-world challenges in IoT, smart grids, and medical devices to enhance community impact. **Research Interests:** - IoT Security - Cyber Risk Assessment in Microgrids - Network and Information Security - Applied Cybersecurity Solutions - Blockchain and Privacy-Preserving Technologies **Key Projects (2019–2025):** - Cyber Territory Skills Hub (2023–2025) - Renewable Energy Microgrid Hub (2021–2024) - Blockchain-Based Digital Identity (2019–2020) **Publications:** Focuses on IoT security frameworks, intrusion detection systems, and AI-driven cybersecurity solutions. Recent works include studies on smart grid load forecasting, medical IoT threat detection, and water leakage detection using machine learning. **Grants & Supervision:** Principal Investigator on multiple ARC-funded projects. Supervises PhD students in DevSecOps and IoT security. Active in organizing workshops on digital awareness for indigenous communities.

• 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.

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.

Peggy GregoryView profile

Senior Lecturer

• Agile Software Development
• Sustainability in IT
• Software Project Management
• +3 more

Dr. Peggy Gregory is a Senior Lecturer at the University of Glasgow’s School of Computing Science, specializing in empirical software engineering with a focus on human and socio-technical aspects. Her research explores agile methodologies, sustainability practices, and IT workplace dynamics through qualitative methods, often collaborating with industry partners. She chairs the XP Conference Series Steering Committee and co-founded the Agile Research Network, fostering long-term industry-academia collaborations. Key research interests include agile transformation, software project management, and ethical software engineering practices. Her education and professional background are not explicitly detailed in the provided text, but her extensive industry partnerships highlight practical relevance. Research grants include funding from the Agile Business Consortium (2017–2026), DSDM grants (2013–2016), and a Case Study Award for Responsible Research & Innovation (2013). Dr. Gregory leads projects on agility, sustainability, and IT practices, with current funded initiatives in all three areas. She advises doctoral students on topics like DevSecOps frameworks, social robotics integration, and sustainable software engineering. Notable contributions include developing an onboarding model for agile teams and studying leadership dynamics in agile software development. Her work bridges academia and industry, emphasizing practical impact through empirical studies. Recent publications focus on agile culture transformation, risk mitigation in re-engineering, and the ethical implications of digital technologies. She is actively involved in conferences such as XP and IVA, contributing to both research and community-building efforts.

• 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.

• Cybersecurity
• Information Security
• Privacy
• +7 more

Nuno Ricardo Mateus Coelho is an Associate Professor at Universidade Lusófona and a Guest Adjunct Professor of Cybersecurity at Instituto Politécnico do Cavado e Ave. He serves as a Cyber Security Adviser for FORVIA and Nanium Grupo Amkor, CEO of NRMC.PT, Judicial Expert for the Ministry of Justice, and CISO & DPO for several national organizations. He holds a PhD in Informatics (Cybersecurity) from the University of Trás-os-Montes e Alto Douro and is a Senior Engineer accredited by the Ordem dos Engenheiros and the European Commission. His research focuses on cybersecurity, privacy, secure operating systems, blockchain, AI in security, and digital forensics . He leads the LAPI2S - Laboratory of Privacy and Information Systems Security and is the Editor-in-Chief of the ARIS2-Journal . He is the General Chair of the iSCSi International Conference and has authored numerous scientific publications, books, and book chapters. The recent publications highlight a strong trend in secure system design, threat resilience, AI applications, and privacy-preserving technologies . His work spans from paranoid operating systems and blockchain applications to social engineering defense and AI-driven risk assessment, reflecting a multidisciplinary and applied approach to cybersecurity challenges. Inncyber Innovation Award - Best European Research in Cybersecurity (2021) Inncyber Innovation Award - 2nd Place (2023) Editor-in-Chief of ARIS2-Journal General Chair of iSCSi International Conference Specialist Accredited by the European Commission in Information and Cybersecurity Projects Senior Engineer and Specialist at the Ordem dos Engenheiros Nuno Mateus-Coelho advises on national cybersecurity strategy and has been instrumental in innovation through projects like Vent2Life , which repaired hospital ventilators during the pandemic, saving hundreds of lives. He has received research recognition and industry grants through his cybersecurity advisory roles and academic leadership. His work bridges academia, government, and industry, with strong emphasis on practical impact. He leads the LAPI2S Laboratory and organizes the iSCSi Conference , fostering collaboration between researchers, industry experts, and policymakers in cybersecurity and information systems. His teams focus on developing secure, privacy-aware technologies for real-world deployment in healthcare, education, and critical infrastructure.

Guowei YangView profile

Senior Lecturer

• Software Engineering
• Machine Learning
• Programming Languages
• +1 more

Dr. Guowei Yang is a Senior Lecturer at the School of Electrical Engineering and Computer Science , The University of Queensland, Australia. He transitioned to this role in 2021 after serving as a tenured Associate Professor at Texas State University's Department of Computer Science. His research focuses on the intersection of Software Engineering Machine Learning Programming Languages Cybersecurity with an emphasis on system reliability and security. His recent publications (2022-2025) analyze: Android API compatibility challenges Symbolic execution optimizations Fuzzing techniques for JVM security Moving target defense strategies Automated patch generation Constraint classification in code analysis He leads a research group seeking students with backgrounds in software engineering, formal methods, and AI. Current funding includes a 2023-2026 Oracle Corporation grant for DevSecOps analysis. Dr. Yang supervises multiple PhD and Master's projects, often as principal advisor, focusing on topics like deep learning testing, IoT analysis, and DevSecOps integration.

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.