Find Academic Supervisors

Steve JonesView profile

Lecturer

• Business Management
• Computer Science
• Cybersecurity
• +4 more

Steve Jones is a Lecturer in Digital Business and Cybersecurity at Norwich Business School, University of East Anglia. His interdisciplinary research focuses on DevOps adoption in organizations, cybersecurity in near-field communication systems, and software engineering practices. He holds a PhD from Norwich Business School, an MSc in Advanced Computing Science, and a BSc in Business Information Systems. Education: PhD in Interdisciplinary Research (Norwich Business School, UEA) MSc in Advanced Computing Science BSc (Hons) in Business Information Systems Research Interests: Steve’s work bridges business and technology, addressing topics such as DevOps management in SMEs, cybersecurity challenges in emerging technologies, and software development practices. He has conducted a 14-month qualitative case study on DevOps impacts and explored the security of NFC-based systems. Articles Overview: His publications span DevOps adoption challenges, scientific software deployment, and cybersecurity vulnerabilities. Recent work emphasizes organizational transformation in IT practices and authentic project-based learning in engineering education. Professional Activities: Member of Norfolk & Suffolk Constabularies' Joint Cybercrime Unit (NS Cyber) since 2023 Prior roles include Cyber Security Advisor (Joint Cybercrime Unit) and freelance systems trainer for NHS trusts and SMEs Advising & Grants: Currently not supervising postgraduate students. No explicit grants mentioned, but contributions to collaborative platforms like D-UEA-ST reflect active project involvement.

• Software Engineering
• Cybersecurity
• Artificial Intelligence
• +5 more

Philipp Haindl is a lecturer at the Department of Computer Science and Security at St. Poelten University of Applied Sciences. His work focuses on software engineering, cybersecurity, and AI integration in education and manufacturing. Software Engineering Cybersecurity Artificial Intelligence DevOps Quality Assurance Research Interests: Dr. Haindl explores software metrics, inter-service security in microservices, and AI tools like ChatGPT in programming education. He investigates quality models and non-functional requirements in DevOps environments. Publications: Recent work includes studies on ChatGPT's impact in software engineering education, systematic reviews of microservice security, and frameworks for human-AI teaming in manufacturing.

• Architecture
• Artificial Intelligence
• Machine Learning
• +4 more

Martha Tsigkari serves as an Associate Professor at The Bartlett School of Architecture, University College London (UCL), where she bridges architectural practice with cutting-edge computational research. Her position situates her at the forefront of digital transformation in the built environment, with institutional affiliations spanning UCL's Faculty of the Built Environment and direct contributions to UN Sustainable Development Goals 4 (Quality Education), 11 (Sustainable Cities), and 13 (Climate Action). Her research program critically examines the integration of artificial intelligence, machine learning, and cognitive psychology into architectural design processes. Key investigations include spatial and visual connectivity analysis, XR-enhanced collaborative design environments, and AI-driven optimization of building performance. She explores how digital tools reshape creativity, professional identity, and sustainability outcomes in architecture, with particular focus on data commoditization, skills evolution, and human-AI collaboration in design workflows. Her interdisciplinary approach connects architectural theory with computational neuroscience and industrial digitalization trends. Tsigkari's publication trajectory reveals a clear evolution from computational structural analysis (2012-2017) toward AI ethics and professional transformation (2022-2024). Early work established foundations in performance-driven facades and material systems, while recent output confronts existential questions about architectural practice in the AI era. Her scholarship consistently addresses the tension between technological capability and human-centered design values, with growing emphasis on sustainable development frameworks and educational implications. Scientific Awards: No major awards are documented in the available records. Advising and Grants: While specific supervisees and funding mechanisms aren't detailed in current sources, her extensive collaborative network across 30+ publications indicates active mentorship and research leadership. Co-authorship patterns suggest involvement in multi-institutional projects addressing AECO industry digitalization, with potential ties to UK research councils and industry partnerships like RIBA. Labs and Teams: Tsigkari operates within The Bartlett's digital research ecosystem through recurring collaborations with Kosicki, Tarabishy, and Psarras. Her work manifests in experimental toolsets including Glaucon (XR design environment), HYDRA (optimization framework), and SandBOX (conceptual design system), indicating leadership in UCL's computational design labs focused on human-AI interaction and sustainable building technologies.

Olga RistićView profile

Associate Professor

• Software Testing
• Information Technologies
• Modeling and Simulation
• +5 more

Olga Ristić is an Associate Professor at the Department of Information Technologies, Faculty of Technical Sciences Čačak, University of Kragujevac, Serbia. Her office is located at Svetog Save 65, Čačak (Office No. 237), and she can be contacted via phone (+381 32 302-714) or email. She holds a Diploma in Technics and Informatics (1997), a Master's in Technical Sciences (2006), and a PhD in Information Technologies and Systems (2016), all from the University of Kragujevac. Her research focuses on: Software testing methodologies and quality assurance Modeling and simulation of complex systems Optimization algorithms for industrial applications Educational technology and IT pedagogy Mobile applications and information systems reliability Her recent publications emphasize interdisciplinary approaches, with strong trends in machine learning applications for cybersecurity, optimization in Industry 4.0 systems, educational technology innovations, and sustainable energy management. She frequently employs simulation techniques and algorithm development across diverse domains. She has led or contributed to eight Ministry of Science-funded projects: Curriculum development for IT education programs Software quality assurance frameworks Industrial system reliability modeling Food supply chain optimization Deregulated energy distribution systems At the Faculty of Technical Sciences, she coordinates courses across all academic levels, including Data Structures, Software Testing, Mobile Applications, and Quality of Software. She also conducts professional development seminars on database design and ISTQB certification.

Vladimir VlassovView profile

Professor

• Machine Learning
• Data-intensive computing
• Cloud computing
• +7 more

Dr. Vladimir Vlassov is a full Professor in Computer Systems at the Division of Software and Computer Systems (SCS) , Department of Computer Science (CS) , School of Electrical Engineering and Computer Science (EECS) , KTH Royal Institute of Technology , Stockholm, Sweden. He leads the AVA project in ALEC2, an AI-powered system for mental health care. He is a member of the Distributed Computing research group (DC@KTH) . Education & Roles: Holds a PhD and is a member of ACM and IEEE. Previously visited MIT (1998) and UMass Amherst (2004). Teaches courses on Data Mining , Distributed Systems , and Concurrent Programming . Research Interests: Focus on scalable AI, Cloud computing, distributed systems, and NLP for mental health. Projects include ExtremeEarth (Copernicus data analytics) and EMJD-DC (distributed computing PhD program). Grants & Projects: Principal Investigator in ALEC2 (adaptive mental health care) and ExtremeEarth (EU H2020). Led EU projects like ENCORE (manycore systems) and PaPP (embedded systems). Labs & Teams: Directs the Distributed Computing group, contributing to Hopsworks (machine learning feature store) and Maggy (hyperparameter optimization).

• Cybersecurity
• Network Protocols
• Cloud Computing
• +7 more

Damir Regvart is a lecturer at Algebra University of Applied Sciences , specializing in Cybersecurity , Network Protocols , and Cloud Computing . With a background in Electrical Engineering and a Master's in Electrical Engineering from the Faculty of Electrical Engineering and Computing in Zagreb (2002), he focuses on advanced network security protocols, Zero-touch technologies, and cloud infrastructure. Research Highlights : Zero Trust Architecture, Honeypot Deception Strategies, Machine Learning in Threat Detection, Microsoft Azure Security, and Infrastructure as Code hardening. Key Projects : Pan-European and national initiatives in network automation, cloud forensics, and IoT security. Recent Publications (2024-2025) explore cutting-edge topics like AI-driven security testing, forensic capabilities in cloud environments, and the intersection of SDN and cybersecurity. His work addresses vulnerabilities in cryptographic systems and the legal implications of digital signatures. Technology Focus : Zero-touch provisioning, Microsoft Sentinel automation, and RedFish/vSphere API integration.

• Project management
• Human judgment
• Digitalization in the public sector
• +5 more

Magne Jørgensen serves as a Research Professor in the Department of IT Management at Simula Metropolitan, a research center operated by Simula Research Laboratory in collaboration with Oslo Metropolitan University. His work bridges academic research and practical public sector IT implementation, focusing on evidence-based solutions for digitalization challenges. His research centers on critical gaps in software project management, particularly examining human judgment biases in estimation, benefits realization frameworks for agile public sector projects, and the statistical properties of software productivity distributions. He investigates how front-end project phases impact success in Norwegian government IT initiatives and develops methods for more accurate cost-benefit analysis in digital transformation. Analysis of his 15 most recent publications reveals three dominant research trajectories: (1) Agile adaptation challenges in public sector contexts, (2) Empirical studies of productivity variation and estimation bias, and (3) Benefits management frameworks connecting technical delivery to organizational outcomes. His work consistently employs mixed-method approaches combining systematic literature reviews with Norwegian case studies. Jørgensen actively contributes to the EDOS research center at SimulaMet, collaborating with public sector agencies like NAV and the Ministry of Finance. His frequent presentations at governmental seminars (e.g., for Statsministerens kontor and Finansdepartementet) demonstrate direct policy impact, while his Norwegian-language publications target local practitioners through outlets like Magma and Stat & Styring.

Steven EppingerView profile

Professor

• Product Design and Development
• Complex Technical Project Management
• Agile Software Development
• +5 more

Steven Eppinger is a Professor of Management Science and Innovation at the MIT Sloan School of Management, holding the General Motors Leaders for Global Operations Chair. He focuses on interdisciplinary education and research in product design, systems engineering, and agile methodologies. His work bridges engineering and management, emphasizing complex project management and innovation processes. Educated at MIT (SB, SM, ScD in Mechanical Engineering), he has led major programs like SDM, IDM, LGO, and LFM. He co-authored Product Design and Development (7th/8th editions) and pioneered the Design Structure Matrix (DSM) methods. His research applies agile practices beyond software to hardware and systems engineering. He has received numerous awards, including the PICMET Medal of Excellence and POMS Distinguished Fellow. His executive courses cover systematic innovation and managing technical projects using DSM and agile frameworks. He co-directed the Center for Innovation in Product Development and served as Deputy Dean of MIT Sloan.

• Requirements Engineering
• Agile Software Development
• Security Requirements
• +3 more

Maya Daneva is a Professor at the University of Twente , Netherlands, specializing in Requirements Engineering , Agile Software Development , and Software Security . She has extensive contributions to empirical studies on quality requirements in distributed agile projects, security risk frameworks for cyber-physical systems, and crowdsourced requirements engineering. Key Research Areas: Agile quality requirements, security ontology modeling, DevOps architecture, user feedback analysis for mobile apps Recent Article Trends: Focus on domain modeling pain points, phishing attack ontologies, personality-driven security perceptions, and empirical validation of requirements checklists Leadership: Organizer of EmpiRE workshops, CreaRE workshops, and REFSQ doctoral symposia

• Software Engineering
• Green Software Development
• Sustainable Computing
• +6 more

Félix García is a prominent professor at the University of Castilla-La Mancha in Ciudad Real, Spain, with extensive contributions to software engineering, sustainable computing, and business process management. His research spans over two decades with 187 publications indexed in dblp, demonstrating consistent scholarly productivity and leadership in multiple research areas. Dr. García's research interests focus on critical contemporary challenges in software development, particularly green software engineering, energy efficiency in computing systems, and sustainable software development practices. His work bridges theoretical foundations with practical applications, addressing how software design, implementation, and maintenance impact environmental sustainability. He has pioneered research connecting software quality attributes with energy consumption, examining how design patterns, code smells, and refactoring techniques affect resource usage. His recent publications (2023-2025) reveal a strong focus on cutting-edge topics including Green AI, quantum computing sustainability, and energy-aware programming language design. These works demonstrate his ability to anticipate and address emerging challenges at the intersection of software engineering and environmental sustainability. Dr. García has received significant recognition through numerous collaborations, particularly with Mario Piattini (133 co-authored papers), Francisco Ruiz (63 papers), and María Ángeles Moraga (30 papers), establishing him as a central figure in his research community. His work has appeared in prestigious venues including IEEE Transactions on Software Engineering, Journal of Systems and Software, and ACM Computing Surveys. He has mentored numerous researchers who have become established scholars in their own right, including Javier Mancebo, Laura Sánchez-González, and César Jesús Pardo Calvache. His contributions to gamification in software engineering education through serious games like GLOBAL-MANAGER demonstrate his commitment to innovative teaching approaches.

Israat HaqueView profile

Associate Professor

• Software-defined Networking (SDN)
• Cyber-physical Systems (CPS)
• Internet of Things (IoT)
• +12 more

Dr. Israat Haque is an Associate Professor in the Faculty of Computer Science at Dalhousie University, Halifax, where she leads the Programmable and Intelligent Networking (PINet) research group. She also holds an adjunct professorship in the Department of Computing Science at the University of Alberta. PhD in Computer Science, University of Alberta NSERC Postdoctoral Fellow, University of California, Riverside MSc in Computer Science, Concordia University Her research focuses on developing high-performance, secure, and dependable distributed and emerging networking systems, with key interests in Software-Defined Networking (SDN), Cyber-physical Systems (CPS), Internet of Things (IoT), 5G/6G technologies, and AI/ML applications in networking. She applies data-driven approaches to solve real-world problems in network programmability, stream processing, and edge/cloud computing. The 15 most recent publications highlight a strong trend in in-network computing, IoT security, AI-driven network reliability, and stream processing. Her work spans from theoretical surveys to practical system implementations, often leveraging programmable data planes (P4), machine learning, and hardware acceleration to address challenges in performance, security, and fairness in distributed systems. Dr. Haque has received numerous prestigious recognitions: IEEE/ACM N2Women Rising Star Award (2021) ACM FAccT Best Paper Award (2023) IEEE WICE Outstanding Mentoring Award (2025) University of Alberta Alumni Honour Award (2024) Digital Nova Scotia Thinking Forward Award (2022) Intel Fast Forward Initiative Winner (2022) President’s Research Excellence Award, Dalhousie (2021) She actively mentors PhD and MSc students and leads externally funded research projects, including a Canada First Research Excellence Fund (CFREF)-supported initiative on Securing Smart Environments. She has served on editorial boards of IEEE Transactions on Vehicular Technology and IEEE Communications Magazine, and on program committees of top conferences such as IEEE ICNP, IEEE NetSoft, and ACM SIGCOMM. Her lab, PINet, fosters innovation in networking systems and produces high-impact research with real-world applicability. Dr. Haque leads the PINet research group, which includes current PhD and MSc students working on cutting-edge topics like post-quantum cryptography, network programmability for security, and large ML model security. The group collaborates with institutions such as the University of Alberta, Laval University, and Concordia, and has strong industry ties with Intel, Meta, Amazon, and Facebook.

Vikram S. AdveView profile

Professor

• Compilers
• Programming Languages
• Parallel Computing
• +6 more

Vikram S. Adve is a Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. He co-founded and co-leads the Center for Digital Agriculture and directs the USDA-funded AIFARMS Institute , focusing on AI applications in sustainable agriculture. His research bridges compilers, parallel systems, and AI to address challenges in edge computing and digital farming. Research interests span compiler technologies (LLVM, HPVM), parallel programming models , software reliability , and AI-driven agriculture . Key projects include: CropWizard : Generative AI for agricultural decision-making. HPVM/ApproxHPVM : Compiler IR for edge devices. Hydride/MISAAL : Automated retargetable compiler construction. Recent publications (2018-2025) emphasize compiler optimizations, approximate computing, binary analysis, and AI for systems. Trends show convergence of compiler techniques , heterogeneous computing , and AI applications in agriculture and edge devices. Adve actively recruits students for projects funded by USDA, Intel, Amazon, and Illinois DPI. He leads the HPVM compiler team and digital agriculture initiatives , integrating cross-disciplinary research across CS, engineering, and agronomy.

Davide Di RuscioView profile

Professor

• Model Driven Engineering
• Model evolution
• Open Source Software
• +7 more

Davide Di Ruscio is a Full Professor at the Department of Information Engineering Computer Science and Mathematics of the University of L'Aquila (Italy), where he leads research in Model-Driven Engineering and Software Engineering. His work spans domain-specific modeling languages, model transformations, and recommender systems applied to open source software and autonomous systems. His research interests focus on Model Driven Engineering , Model evolution , Open Source Software , and Recommender Systems , with recent work exploring LLM applications in code analysis and fairness engineering. Key application domains include service-based systems, autonomous systems, and hybrid polystore systems. Di Ruscio actively contributes to the software engineering community through leadership roles in major conferences and journals. He serves on the steering committees of ICMT, SLE, SATTOSE, MiSE, and RoSE, and is on the editorial boards of SoSyM, IEEE Software, Journal of Object Technology, and IET Software. His work has been published in over 200 papers across top-tier venues. He has contributed to numerous European and Italian research projects since 2006, applying MDE concepts to real-world systems. Current teaching includes Software Engineering for Autonomous Systems and Software Engineering for the Internet of Things, with office hours on Tuesdays and Wednesdays from 11:30-13:30 at Edificio Alan Turing, Room 208.

Patricia LagoView profile

Professor

• Software Engineering
• Software Architecture
• Software Sustainability
• +4 more

Patricia Lago is a Professor at the Vrije Universiteit Amsterdam, where she leads the Software and Sustainability (S2) research group in the Computer Science Department. She serves as a member of the IEEE ICSA and ECSA Steering Committees, and is the Steering Committee Chair of the ICT4S conference series. Dr. Lago is also the initiator of the Computer Science Master Track in Software Engineering and Green IT, and the director of the Master Information Sciences program. Dr. Lago earned her PhD in Control and Computer Engineering from Politecnico di Torino and a Master in Computer Science from the University of Pisa, both in Italy. Her research focuses on creating software engineering knowledge that makes software better, smarter, and more sustainable. She emphasizes industrial relevance and practical application, focusing on the 'real' needs of practice through collaboration with partners from both private and public sectors. Her specific research areas include software architecture, sustainability, software design and modeling, and software quality assessment. Dr. Lago's recent publications demonstrate a strong trend toward sustainable software engineering, with particular emphasis on energy efficiency, green architectural patterns, and sustainability assessment frameworks. Her work bridges theoretical research with practical applications, especially in areas like robotics, machine learning systems, and cloud computing, where sustainability considerations are increasingly critical. Dr. Lago co-founded the Green Lab, a collaborative space where researchers, students, and companies work together to measure the energy footprint of software solutions. She has been actively involved in numerous conferences and workshops related to software sustainability, serving in leadership roles including as NIER Co-Chair at ICSE 2021.

Diomidis SpinellisView profile

Professor

• Software Engineering
• Programming Languages
• Computer Science
• +5 more

Professor Diomidis Spinellis is a renowned academic in Software Technology at Athens University of Economics and Business (AUEB). He specializes in software engineering practices, code quality, AI ethics, and system architecture. His work bridges theoretical advancements with practical applications in industry, emphasizing reproducibility and empirical methods. Recipient of the IEEE Computer Society's prestigious 'Distinguished Contributor Recognition,' Spinellis is the sole Greek scientist to achieve this honor. His research spans software evolution, security, and open-source ecosystems, with a focus on methodologies like refactoring, static analysis, and debugging strategies. Key research interests include AI-generated content detection, modular data analytics, and incident management systems. His studies often leverage large-scale datasets (e.g., Unix evolution, Linux supercomputing analysis) to uncover patterns in software behavior and development practices. Publications frequently address emerging technologies' societal impacts, such as energy-efficient computing and ethical AI deployment. He advocates for reproducible research through tools like the Alexandria3k framework and contributes to open-source initiatives.