Find Academic Supervisors

Eirini LiotouView profile

Assistant Professor

• 5G Mobile Cellular Networks
• Software-Defined Networking (SDN)
• Network Functions Virtualization (NFV)
• +5 more

Eirini Liotou is an Assistant Professor at the Department of Informatics and Telematics, Harokopio University, within the School of Digital Technology. She holds a PhD from the National and Kapodistrian University of Athens (2017), with postdoctoral research funded by the State Scholarship Foundation (ΙΚΥ) from 2019–2021. Her academic career includes adjunct teaching roles at the National and Kapodistrian University of Athens, Hellenic Open University, and Business College of Athens. She has extensive industry experience as a Senior Software Engineer at Siemens and as a Project Manager/Researcher in EU projects like 5G-IANA and XGain. Education: PhD: Quality of Experience in Mobile Networks (NTUA, 2017) MSc: Communications & Signal Processing (Imperial College London, 2012) MSc: Informatics & Telecommunications (NTUA, 2011) Diploma: Electrical & Computer Engineering (National Technical University of Athens, 2006) Research Interests: Focuses on 5G/6G networks, Software-Defined Networking (SDN), Quality of Experience (QoE), and automotive networking. Her work addresses challenges in network virtualization, edge computing, federated learning, and vehicular communications. She has contributed to projects like CASPER and SMART-NRG, emphasizing user-centric service provisioning and network orchestration. Publications: Over 25 peer-reviewed papers spanning SDN applications, QoE management, and vehicular networks. Recent trends include federated learning for cellular networks, edge computing in automotive systems, and QoE-driven network optimization. Awards: Post-doctoral Research Scholarship (ΙΚΥ, 2019–2021) Grants & Projects: Deputy Coordinator: 5G-IANA (EU 5G PPP Phase 3.VI) Deputy Coordinator: XGain (Horizon 2021) Senior Researcher: Marie Curie projects CASPER and CROSSFIRE Labs/Teams: Active in the Communication Networks Laboratory (NTUA) and the I-SENSE group at ICCS. Leads research in intelligent automotive networking and edge-cloud continuum applications.

• Heuristic Optimization
• Metaheuristics
• Simulation Optimization
• +3 more

Erik Pitzer is a Professor at FH Hagenberg, part of the Research Center Hagenberg. He leads the Josef Ressel Center for Heuristic Optimization and has contributed to projects like SMART UNLOAD (2021-2022) focusing on unloading bay optimization and BIOBOOST (2012-2014) addressing biofuel production via biomass. His work spans heuristic algorithms, simulation-based optimization, and fitness landscape analysis. Research interests include developing metaheuristics for complex optimization problems, distributed modeling frameworks, and dynamic problem adaptation. Notable contributions include Composable Evolutionary Computation (2025) and middleware for distributed systems (2024). Key Projects : SMART UNLOAD (Operational Excellence), BIOBOOST (Bioenergy Production), Josef Ressel Center (Heuristic Optimization) Advising : Supervised 4 works (names withheld) Labs : Josef Ressel-Zentrum für Heuristische Optimierung

• Pervasive Computing
• Internet of Things (IoT)
• Semantic Web
• +5 more

Dr. Diego López-de-Ipiña is a Full Professor and Principal Researcher at the DEUSTEK/MORElab – ICT for Good group (University of Deusto, Spain). His roles include leading the Faculty of Engineering’s PhD program (2013–2018) and teaching modules in software engineering, web development, and internet technologies. His research focuses on pervasive computing, IoT, semantic middleware, smart cities, and sustainable computing, emphasizing ICT’s role in addressing societal challenges. He has supervised 17 PhD theses and directed over 100 final-year projects. Education: PhD in Computer Science from the University of Cambridge (2002). Research Interests: Pervasive computing and IoT for smart communities Knowledge graphs and semantic web technologies Human-AI collaboration and ethical computing Sustainable computing and environmental citizen science Projects: Principal investigator in EU projects like SOCIO-BEE, AURORAL, and CITY4AGE, focusing on smart cities, citizen engagement, and environmental sustainability. He has led over 20 research projects, blending IoT, blockchain, and AI for real-world applications. Awards: ATLAS Elsevier Research Prize (social impact of scientific papers) Corresponding Member of JAKIUNDE – Basque Science and Arts Academy Advising & Grants: Supervisor of 17 PhD students and mentor for over 100 theses. Secured funding through European and Spanish grants, emphasizing collaborative, community-driven research. Labs & Teams: Founder of DEUSTEK/MORElab, a hub for ICT innovations in sustainability, smart environments, and human-centric technologies.

• Reinforcement Learning
• Internet of Things (IoT)
• Cognitive Robotics
• +3 more

Iñaki Vazquez Gomez holds the position of Associate Professor at the University of Deusto, Spain, and is affiliated with the Deusto Institute of Technology (DeustoTech). He previously served as Director of DeustoTech from 2020 to 2023 and led the Smart Objects unit there. His research focuses on Reinforcement Learning, IoT, and Cognitive Robotics, with applications in human-robot interaction and smart environments. He earned a PhD in Computer Science and Artificial Intelligence from the University of Deusto and Lancaster University, UK. He is a member of the European IoT Council and the editorial board of the International Journal of Ambient Computing and Intelligence . He has organized and participated in conferences such as IoT, WoT, and IE, and has founded multiple technology startups. His work spans IoT protocols (e.g., WebTag, RFIDGlove), robotics software architectures, and adaptive systems. Recent research emphasizes federated learning, dynamic trajectory adjustment in robotics, and EEG-driven collaborative robotics. His publications reflect a long-term engagement with IoT challenges, context-aware systems, and embedded technologies. No scientific awards are explicitly listed. His advising record remains unspecified, though he has contributed to academic leadership roles. His office hours are 12:00–13:00 on Monday, Thursday, and Friday in Room 589-D (email required for scheduling).

Bilgin AVENOĞLUView profile

Associate Professor

• Artificial Intelligence
• Software Engineering
• Cloud Computing
• +4 more

Dr. Bilgin AVENOĞLU is an Associate Professor at Ankara Üniversitesi's Faculty of Engineering, Department of Software Engineering (since 2022). Previously, he held full-time positions at TED Üniversitesi in similar roles. He holds a Ph.D. in Computer Systems from Orta Doğu Teknik Üniversitesi (2014), an MSc in Computer and Instructional Technology Education (2005), and a BSc in Computer Education (2001). Research Interests: Artificial Intelligence applications in pervasive computing Middleware systems and cloud-based frameworks Optimization algorithms for multi-dimensional problems Context-aware and workflow-based systems Recent Research Trends: Focuses on integrating physiological data with human-machine interfaces, developing robust optimization methods, and middleware solutions for multi-modal interactions. His work bridges software engineering with ambient intelligence and cloud computing. Awards: No awards explicitly listed, but active in TÜBİTAK-funded projects. Grants & Projects: Led a 2018-2022 TÜBİTAK/TÜBA project on physiological data infrastructure for human-machine applications. Collaborates with institutions like Orta Doğu Teknik Üniversitesi and İnönü Üniversitesi. Labs/Teams: No dedicated lab mentioned, but active in cross-institutional research collaborations.

Louise DennisView profile

Associate Professor

• Artificial Intelligence
• Autonomous Systems
• Formal Verification
• +3 more

Dr. Louise Dennis is an Associate Professor at the University of Manchester's Department of Computer Science, specializing in artificial intelligence, autonomous systems, and formal verification. Her work focuses on developing verifiable systems, ethical reasoning in AI, and agent-based architectures. She contributes to the Centre for Digital Trust and Society and the Centre for Robotics and Artificial Intelligence, advancing research in safety-critical systems and human-AI collaboration. Her research interests span formal verification of autonomous systems, machine ethics, and agent programming languages. Notable projects include work on BDI agent models, ROS-based robotics verification frameworks, and ethical decision-making modules for space and nuclear systems. She actively participates in interdisciplinary initiatives addressing future computing risks and AI transparency. Key contributions include developing verification tools like Agent JPF and the PROSPER Toolkit, as well as pioneering ethical reasoning frameworks for autonomous robots. Recent work emphasizes explainability in safety-critical contexts and assurance case methodologies for robotic systems. Dr. Dennis collaborates internationally on standards for transparent autonomous systems (e.g., IEEE P7001) and advises on critical infrastructure resilience. She has delivered invited talks on machine ethics and verification, and her research spans robotics, cybersecurity, and space exploration applications.

Borja SotomayorView profile

Professor

• Computer Science Education
• Distributed Systems
• Resource Allocation
• +3 more

Borja Sotomayor is a Senior Instructional Professor in the Department of Computer Science at the University of Chicago. He specializes in teaching introductory computer science, software development, and computer networks. His research focuses on resource allocation in distributed systems using virtualization and, more recently, on computer science education. He has published widely in these areas and contributed to projects like the chidb database system and the Haizea resource management framework. He is actively involved in campus activities, including advising student organizations and designing educational tools. Sotomayor holds a PhD from the University of Chicago (2010) and has authored books on the Globus Toolkit. He is also known for designing t-shirts and promoting STEM education through initiatives like the CRA Education Committee.

Konstantinos I. AivalisView profile

Assistant Professor

• Web Analytics
• Big Data
• E-Commerce
• +4 more

Konstantinos I. Aivalis is an Assistant Professor at the Hellenic Mediterranean University, teaching courses in Web Application Evaluation Systems, Data Visualization, Object-Oriented Java Programming, and Python Programming across the Departments of Electrical and Computer Engineering and Mechanical Engineering. He holds a Diplom Informatiker from the Technical University of Berlin (1983), a Master’s in Graphic Arts/Multimedia from the Open University of Greece (2011), and a PhD in Informatics from the University of Peloponnese (Web Analytics focus). Research interests: Web Analytics, Big Data, E-Commerce, Middleware, programming languages, and software engineering. Teaching since 1995 at Technical University of Crete and other institutions, including courses on Java, Python, and data structures. Professional background includes roles as a programmer in Germany (1974–1982), military service in the Hellenic Navy (1983–1984), and software development at institutions like the Institute of Informatics and Software Art. Collaborated on logistics and telematics projects with EU programs and industry partners.

Maciej BestaView profile

Researcher

• Sparse Graph Computations
• Large Language Models
• Graph Neural Networks
• +7 more

Maciej Besta is a leading researcher at ETH Zurich's Institute for Computing Platforms, where he heads research initiatives at the Scalable Parallel Computing Lab (SPCL) and contributes to the ETH Future Computing Laboratory (EFCL). Working under the mentorship of Professor Torsten Hoefler, he has established himself as a prominent figure in high-performance computing, graph processing, and large language models. Position: Researcher at Institute for Computing Platforms, ETH Zurich Research Leadership: Head of Sparse Graph Computations and Large Language Models Research at SPCL Collaboration: Leads project management for SPCL's contributions to ETH Future Computing Laboratory Besta's research spans multiple abstraction levels, from hardware and network topologies to middleware, algorithms, and programming models. His primary focus areas include graph-enhanced language models, graph neural networks, graph databases, and sparse models, with applications across various computational settings. He approaches these problems through rigorous performance modeling and formal reasoning, emphasizing both scalability and practical implementation. His recent publications reveal a clear trend toward integrating graph structures with language models and AI systems. Besta has pioneered work on graph databases, knowledge graphs of thoughts, and higher-order graph neural networks, while maintaining his strong foundation in high-performance computing and network topology design. His research bridges traditional HPC with cutting-edge AI, creating novel approaches for efficient large-scale computation. IEEE TCSC Award for Excellence in Scalable Computing (Early Career, 2023) Multiple Best Paper Awards at Supercomputing conferences (2022, 2023) ACM SIGHPC Doctoral Dissertation Award (2022) ETH Medal for outstanding doctoral thesis (2021) Fellow of The Explorers Club (2022) Besta actively mentors ETH Zurich students through semester projects, Bachelor's, and Master's theses, focusing on graph processing and related computer science challenges. His mentorship extends beyond technical guidance, incorporating lessons from his extensive polar and mountaineering expeditions that emphasize mental resilience, efficient risk management, and leadership. He has supervised numerous student projects that have resulted in high-impact publications at top-tier conferences. As a core member of the Scalable Parallel Computing Lab, Besta collaborates with researchers across ETH Zurich and international institutions. His unique approach integrates insights from extreme environment expeditions into research methodology, creating a distinctive framework for tackling complex computational problems. The lab's work under his leadership spans theoretical modeling, practical implementation, and real-world deployment of high-performance systems.

• Machine Learning
• Signal Processing
• Computer Vision
• +4 more

Yuan Liao is an active researcher with a focus on interdisciplinary areas spanning computer science, electrical engineering, and applied mathematics. His work emphasizes innovative solutions in signal processing, machine learning, robotics, and human mobility studies. Notably, he has contributed to advancements in wearable biomedical devices, remote sensing image analysis, and next-generation wireless communication systems like 6G. Collaborations with institutions like Academia Sinica and co-authors such as Vasilis Friderikos highlight his global academic network. Liao's research often bridges theoretical frameworks with practical applications, addressing challenges in healthcare, transportation, and urban planning. Key contributions include developing novel neural network architectures for tasks like image inpainting and emotion recognition from EEG signals. His work on robotic aerial base stations for mmWave backhauling demonstrates expertise in cutting-edge wireless systems. While specific institutional affiliations are not explicitly stated in the provided data, his prolific publication record across top-tier journals and conferences indicates an established academic role, likely as a researcher or faculty member in a technical discipline.

• Cybersecurity
• Computer Networks
• Applied Computer Science
• +4 more

Dr. Prakash Veeraraghavan is the Head of the Department of Computer Science and IT at La Trobe University, Melbourne, Australia. He holds an Associate Professor rank with extensive experience in academia and research. His career includes roles as Acting Head of Department (2022–2023), Teaching and Learning Coordinator, and prior academic positions at institutions like Universiti Putra Malaysia and the University of Madras. He earned a BSc (1987), MSc (1989), and PhD (1994) from Indian academic institutions. His research focuses on cybersecurity, computer networks, graph theory applications, and secure systems. Key interests include IoT security, network protocols, and cybersecurity policy frameworks, particularly in Saudi Arabia. He has authored over 96 publications, including works on smart city cybersecurity, multicast infrastructure, and AI-based educational systems. Dr. Veeraraghavan has received accolades such as the CSIRO OnPrime Pre Accelerator Program (2017), University Grants Commission-JRF (1989), and academic excellence awards for his degrees. He is also a Certified Cisco instructor in Cyber Operations and Networking. His teaching portfolio includes courses like Industry Development Project and Intermediate Network Engineering. He has contributed to non-academic roles, such as Regional Technical Adviser for the Canadian International Development Agency (1999–2002).

Øystein HaugenView profile

Professor

• Cyber-Physical Systems
• Modeling Languages
• Software Engineering
• +7 more

Øystein Haugen is a Professor at the Department of Computer Science and Communication at Høgskolen i Østfold (HiØF), Norway. He specializes in Cyber-Physical Systems (CPS), Modeling Languages (e.g., UML/SysML), and Software Engineering. His work focuses on standardization efforts for modeling languages (ITU/OMG), variability modeling, and real-time systems. Haugen has led EU projects like Productive4.0 and Arrowhead Tools, emphasizing Industrial IoT and digital twin technologies. He co-chaired MODELS 2010 and currently contributes to SysML v2 development. Collaborations include SINTEF Digital, University of Oslo, and Luleå Technical University. Research Interests : Cyber-Physical Systems & IoT Model-Driven Engineering Software Product Line Engineering Formal Methods in Systems Design Standardization of Modeling Languages (SDL/MSC/UML/SysML) Industrial Applications of CPS (Manufacturing, Automation) Recent Article Trends : His 2020-2024 work emphasizes CPS applications, digital twin evolution, industrial IoT interoperability, and imitation learning in manufacturing automation. Key areas include model-based debugging, energy-efficient IoT networks, and autonomic service orchestration in industrial systems. Grants/Projects : Led EU ECSEL projects Productive4.0 (smart manufacturing) and Arrowhead Tools (IoT middleware). Active in standardization through OMG committees and ITU. Recent contributions include WP leadership in EU Horizon projects focusing on industrial digitalization. Labs/Teams : Leads the CPS Research Group at HiØF. Involved in the Arrowhead Tools consortium and Productive4.0 industrial partnerships (Jotne, Prediktor, Unger Fabrikker).

• Cyber Trust
• Cloud Computing
• Software Engineering
• +2 more

Professor Stephen Yau is a faculty member at Arizona State University's School of Computing and Augmented Intelligence, where he has worked since 1994. He previously served as Walter P. Murphy Professor and Chair at Northwestern University and as Professor and Chair of the Department of Computer and Information Sciences at the University of Florida. Education: Ph.D. in Electrical Engineering from the University of Illinois (1961) Stephen Yau's research focuses on adaptive service-based systems, cloud computing, software engineering, and security in ubiquitous computing environments. His work emphasizes Quality of Service (QoS) monitoring, privacy-preserving mechanisms, and context-aware middleware. His publications include pioneering research on service composition, workflow adaptation, and security policy reconciliation. These works span themes like mobile ad-hoc networks, distributed trust models, and autonomic computing. Specical Award of the IEEE Computer Society, 2006 Overseas Outstanding Contributions Award of the Chinese Computer Federation, 2006 Tsutomu Kanai Award of the IEEE Computer Society, 2002 The IEEE Third Millennium Medal, 2000 Special Award of the American Federation of Information Processing Societies, 1990 Extraordinary Achievement Award of the IEEE, 1985 Fellow of the American Association for the Advancement of Science, 1983 Richard E. Merwin Award of IEEE Computer Society, 1981 Stephen Yau has advised numerous students and received grants from NSF, DOD, and companies like Hitachi and Fujitsu. He directs ASU's Information Assurance Center and serves on editorial boards for IEEE Transactions on Services Computing and the Journal of Autonomic and Trusted Computing.

• Artificial Intelligence
• Health Informatics
• Internet of Things (IoT)
• +3 more

Randi Karlsen is a Professor at the Department of Informatics, UiT The Arctic University of Norway. She is affiliated with the Open Distributed Systems (ODS) research group and participates in projects such as the Nudge Project and Better Balance in Informatics (BBI). Her research focuses on AI-driven solutions for health promotion, smart nudging, IoT applications, and personalized recommendations. She has contributed to advancements in wearable technology integration, digital twin systems, and context-aware health interventions. Her recent work emphasizes leveraging AI and IoT for behavioral change, such as promoting physical activity through smart nudges and health monitoring via wearable devices. She also explores privacy-preserving techniques in complex ecosystems and decentralized communication systems for mobile devices. Key Projects: Nudge Project, Better Balance in Informatics (BBI) Labs/Teams: Open Distributed Systems (ODS) research group Randi’s publications span topics like multi-agent systems, health video retrieval, and incremental information retrieval. Her work bridges technical innovation with societal impact, particularly in healthcare and sustainable transportation.

Martin JonssonView profile

Professor

• Tangible Interfaces
• Ubiquitous Computing
• Embodied Interaction
• +3 more

Martin Jonsson is Professor and Subject Coordinator for Media Technology at Södertörn University. His research explores embodied interaction through tangible interfaces and ubiquitous computing applications. Jonsson's work develops somaesthetic design frameworks that integrate body awareness with interactive technology. He examines how sensor-based systems can support learning in scientific domains and create new interactive experiences for children's culture. His recent research investigates AI's role in creative programming education and ethical dimensions of human-AI co-creation. Publications demonstrate consistent focus on physical engagement with technology, from early work on context-aware middleware to current studies of balance interfaces and 3D printing practices. Recent articles examine co-creative programming partnerships and pedagogical applications of generative AI. Jonsson leads projects on complex systems thinking education and develops design-based learning approaches for higher education contexts.