Fog Computing Professors and Supervisors

Carlos Guerrero ToméView profile

Senior Lecturer

University of the Balearic IslandsSpain

Dr. Carlos Guerrero Tomé is a Senior Lecturer in the Department of Computer Architecture and Technology within the School of Mathematics and Computer Science at Universitat de les Illes Balears (UIB). He holds a Doctorate in Computer Engineering from UIB and has established himself as a significant figure in both academic teaching and research. His educational background includes a Doctorate and degree in Computer Engineering from the Universitat de les Illes Balears, forming the foundation for his academic career at the same institution. Dr. Guerrero Tomé's research focuses on performance analysis in Cloud, Fog, and IoT computing environments. His specialties include computer architecture, data analysis, and scheduling algorithms. He is actively involved in two research groups: the Architecture and Behaviour of Computer and Telecommunication Systems (ACSIC) R+D+I Group and the UIB Artificial Intelligence Applications Laboratory (LAIA@UIB), where he contributes to advancing computing technologies. With numerous international publications to his name, his research output spans regional, national, and international projects, demonstrating broad scholarly impact. Computer Architecture Cloud Computing Performance Fog Computing Systems Internet of Things (IoT) Scheduling Algorithms Data Analysis Dr. Guerrero Tomé teaches 'Digital Systems' across multiple engineering and mathematics programs, reaching students across Majorca, Ibiza, and Minorca campuses. His administrative experience includes serving as director of the Master in Information Technologies for two years and deputy director of the Polytechnic School for seven years. His laboratory affiliation with the UIB Artificial Intelligence Applications Laboratory (LAIA@UIB) positions him at the forefront of AI research applications within the university's research ecosystem.

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Attila KerteszView profile

Associate Professor

University of León (ULE)Spain

Attila Kertesz is an Associate Professor in the Department of Software Engineering at the University of Szeged, Hungary. He leads the IoT Cloud research group and coordinates key projects including the FogBlock4Trust sub-grant (TruBlo EU H2020) and the NKFIH-FK (OTKA) 131793 project. He serves on Management Committees for COST Actions CA19135 and CA17136. His research spans Cloud Computing (39%), IoT (38%), and Simulation (33%), with additional expertise in Fog Computing, Data Protection, and Blockchain. Kertesz investigates data management challenges in distributed systems, focusing on Edge-Cloud integration, resource optimization, and security architectures for IoT environments. Recent publications (2024-2025) demonstrate strong emphasis on converging Fog/Edge computing with Blockchain and Federated Learning for IoT applications. His work addresses resource-aware parallel computing optimization and domain-specific languages for Ambient Assisted Living microservices, appearing in IEEE Access and Simulation Modelling Practice and Theory. Professor Kertesz secures significant funding from EU H2020 and Hungarian Scientific Research Fund sources, supporting active research through multiple collaborative projects. While specific student counts aren't published, his project leadership indicates ongoing supervision opportunities. As leader of the IoT Cloud research group, Kertesz fosters innovation in Cloud-to-Things continuum technologies through theoretical and applied research, with strong international project participation and publication output.

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Wong Ngie HingView profile

Senior Lecturer

Swinburne University of TechnologyAustralia

Dr. Wong Ngie Hing serves as Senior Lecturer at Swinburne University of Technology Sarawak Campus within the Faculty of Engineering, Computing and Science. He leads the Master of Construction Management program and conducts research in Environmental Engineering with 20 years of combined academic and industrial experience across USA, Singapore, and Malaysia. His research focuses on critical environmental challenges including Food Waste Processing through anaerobic co-digestion systems, Kitchen Wastewater Treatment involving FOG modeling, and Solid Waste Management for construction material upcycling. Current projects examine municipal food waste co-digestion in Kuching and mechanistic modeling of grease trap deposits. Dr. Wong has secured significant research funding including SRDC Catalyst Grant (MYR200,000) and MOHE FRGS Grant (MYR179,940). His work demonstrates strong industry engagement recognized through multiple Vice-Chancellor's Awards. Vice-Chancellor’s Industry Engagement Award (2019) Vice-Chancellor’s Teaching Excellence (2019) Top 3 Most Innovative Project Awards (2015) Sembcorp Marine Green Wave Commendation (2015) Most Appreciated Student Mentor (2013, 2014) As a Chartered Engineer (CEng, IET UK) and Board of Engineers Malaysia (BEM) member, he maintains strong professional connections while leading international community projects across Southeast Asia, Taiwan, and North America. His Problem-Based Learning approach in graduate education has earned recognition as Best Certified PBL Facilitator (2011).

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J.A. PouwelseView profile

Professor

Delft University of TechnologyNetherlands

J.A. Pouwelse is a Professor at the Data-Intensive Systems department within the Electrical Engineering, Mathematics and Computer Science school at Delft University of Technology . With 125 research outputs and 4 supervised works, his work focuses on Blockchain , Decentralized Systems , Federated Learning , and Peer-to-Peer Networks , particularly for Web3 applications. His recent publications analyze topics such as: Decentralized adaptive ranking Serverless federated learning Green smart contracts Search index optimization Zero-trust frameworks Notable recognition includes the LCN Best Paper Award 2021 . Research spans decentralized infrastructure design, privacy preservation, and scalable system implementation.

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Isaac Lera CastroView profile

Associate Professor

University of the Balearic IslandsSpain

Dr. Isaac Lera Castro is an Associate Professor at the University of the Balearic Islands, School of Mathematics and Computer Science, Department of Computer Architecture and Technology. He serves as Deputy Director of the Laboratory of Artificial Intelligence Applications (LAIA) and is a member of the ACSIC (Architecture and Behavior of Computer and Telecommunication Systems) R&D Group. His educational background includes a Ph.D. in Computer Science from the University of the Balearic Islands (2012) and a Computer Engineering degree from the same institution (2006). He has been actively involved in academia since 2005. Dr. Lera Castro's research focuses on computer architecture, performance evaluation of computer systems, cloud computing, edge computing, fog computing, and semantic web. His work has particular emphasis on simulation and modeling of distributed systems, with significant contributions to fog computing architectures and performance assessment methodologies. He has developed YAFS (Yet Another Fog Simulator), a tool for simulating IoT scenarios in fog computing environments that has gained recognition in the research community. His publication record includes multiple papers in JCR-SCI indexed journals, with 11 highly relevant publications (7 in Q1 and 4 in Q2) and 6 relevant publications (3 in Q3 and 3 in Q4) as of 2019. His research spans from early work on semantic web applications to recent contributions in fog computing and IoT simulation, showing a consistent trajectory of innovation in distributed systems. 2019: YAFS simulator for IoT scenarios in fog computing (IEEE Access) 2019: Availability-aware service placement in fog computing (IEEE IoT Journal) 2017: Human mobility pattern analysis using complex networks (PLOS ONE) 2006: Performance-related ontologies and semantic web applications (Science of Computer Programming) Dr. Lera Castro has extensive teaching experience across undergraduate, graduate, and master's programs. He has taught core subjects including Computer Architecture, Current Computer Systems, and Evaluation and Exploitation of Computer Systems, as well as specialized courses like Cloud Computing and Technologies for Big Data Analysis. From 2018 to 2021, he served as co-director of the Master's Degree in Big Data Analysis in Economics and Business. He leads the Laboratory of Artificial Intelligence Applications (LAIA), which focuses on applying AI techniques to distributed systems with particular expertise in performance modeling and resource allocation in cloud, fog, and edge computing environments.

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Mairo LeierView profile

Research Fellow

Tallinn University of TechnologyEstonia

Dr. Mairo Leier is a Senior Research Fellow at Tallinn University of Technology's School of Information Technologies, Department of Computer Systems, where he leads the Internet of Things Development Centre. His career spans industry roles at Ericsson Estonia and Elisa Estonia, alongside academic positions since 2010. He holds a PhD in Computer Systems (2016) and MSc (2010) from Tallinn Tech. Research interests center on embedded systems , IoT , and edge AI , with applications in smart infrastructure, autonomous vehicles, and biomedical sensing. Key focus areas include: Machine learning optimization for resource-constrained devices Real-time sensor data processing Hardware-software co-design Industrial IoT solutions His publications emphasize embedded AI efficiency, with recent work exploring model compression, hardware-aware neural networks, and edge deployment for computer vision. Awards and recognitions include: Tallinn Entrepreneurship Award (2017, 2018) 1st Prize in TTÜ Applied Research Competition (2017) Industry collaboration awards with Bosch Sensortec He actively advises students, with 14+ bachelor supervisees in embedded systems/IoT projects. Grants include applied research funding for industrial sensor algorithms and smart wearables. He directs the IoT Development Centre, fostering industry-academia partnerships and embedded systems innovation.

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Michał PióroView profile

Professor

Gdańsk University of TechnologyPoland

Michał Pióro serves as a Professor at the Department of Computer Communications within the Faculty of Electronics Telecommunications and Informatics at Gdańsk University of Technology. His office is located in Building A of the Faculty (room 149), where he actively conducts research and teaching in network engineering disciplines. His research centers on network optimization and resilience, with specialized focus on Software Defined Networking (SDN) controller placement, Free Space Optics (FSO) networks under weather disruptions, and industrial control systems for Industry 4.0. Key methodologies include min-max optimization, uncertainty set modeling, and game-theoretic approaches to address node-targeted attacks and atmospheric interference. His work bridges theoretical optimization with practical network design challenges in wireless communications. Analysis of recent publications (2021-2024) reveals consistent innovation in enhancing network robustness through mathematical optimization. His research demonstrates particular expertise in developing joint optimization frameworks for SDN controller placement and creating weather-resilient FSO network configurations using advanced uncertainty modeling. These contributions address critical gaps in maintaining network functionality during attacks and adverse environmental conditions. Scientific awards: No scientific awards were mentioned in the provided information Advising and grants: No information regarding student supervision or research grants was provided

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Randy BabbittView profile

Research Professor

Montana State UniversityUnited States

Randy Babbitt serves as a Research Professor in the Department of Physics within Montana State University's College of Letters & Science. He maintains key affiliations as a Faculty Affiliate of the Spectrum Lab, Affiliate/User of the Montana Nanotechnology Facility (MONT), and member of the Optical Technology Center (OpTec), driving translational research from academic labs to Montana industry partners. His educational foundation includes a B.S. from Stanford University (1982) and a Ph.D. from Harvard University (1987). B.S., Stanford University (1982) Ph.D., Harvard University (1987) Babbitt's research program integrates digital holography, lidar systems, polarimetry, and microwave photonics to solve challenges in remote sensing and materials characterization. His work on spatial-spectral holography enables breakthroughs in microwave signal processing, while investigations into levitated particles and compressive sensing expand fundamental understanding of optical manipulation. This research directly supports defense applications through partnerships with entities like the Office of Naval Research and Air Force Research Lab. Analysis of his 2014-2022 publications reveals a consistent trajectory toward advanced imaging systems, with increasing emphasis on FMCW lidar techniques, nano-scale material characterization, and dual-beam interferometry. His work demonstrates strong interdisciplinary collaboration, particularly through the Spectrum Lab, with applications spanning defense, atmospheric sensing, and nonlinear optical material development. His scientific recognition includes: Meritorious Technology/Science Award (2008) Award for Excellence as Mentor of Recipient (2014) Babbitt secures substantial research funding for projects including Polarimetric Imaging Lidar (US Air Force Research Lab), Coherent/Enhanced Active Imaging Through Fog (Office of Naval Research), and GOALI: Nanostructure-enabled QPM Counter-Propagating Optical Parametric Oscillator (NSF). He actively mentors students through Spectrum Lab projects and engages in K-12 outreach, having delivered guest lectures at Morning Star Elementary and contributed to the Montana Science and Engineering Festival. As a core faculty affiliate of the Spectrum Lab, Babbitt contributes to its tripartite mission of advancing MSU-grown photonic technologies, establishing university-corporate partnerships with Montana companies like Bridger Photonics and S2 Corporation, and providing hands-on R&D experiences for students in team-oriented, time-critical projects.

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Gitte Moos KnudsenView profile

Clinical Professor

University of CopenhagenDenmark

Gitte Moos Knudsen is a Clinical Professor at the Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, and serves as Chair of the Neurobiology Research Unit at Copenhagen University Hospital, Rigshospitalet. With over 30 years of experience, she is a translational neurobiologist and clinical neurologist whose research focuses on brain disease mechanisms and responses to neuromodulatory interventions. Her research interests span neurology, brain research, neuropsychopharmacology, PET imaging, fMRI, and translational neuroscience, with particular expertise in serotonin research, psychedelics, alcohol use disorder, depression, and epilepsy. She utilizes advanced imaging techniques including PET brain scanning to image brain receptors and fMRI to evaluate drug effects on brain hemodynamics and functional connectivity. Her recent publications (2023-2025) demonstrate a strong focus on psychedelic research, serotonin receptor mapping, depression treatment mechanisms, and addiction neuroscience. These works reveal consistent themes in neuromodulation, receptor occupancy studies, and the application of advanced imaging techniques to understand brain function in health and disease. Mogens Fog Prize 1993 Synthelabo Recherche Award 1994 Anne Bochardt Prize 1999 Member of the Royal Danish Academy of Sciences and Letters since 2004 Carlsberg Foundation Researcher Award for Sciences, 2014 Kuhl-Lassen Award 2024 As leader of the Neurobiology Research Unit (NRU) since 2004, she oversees approximately 120 staff members and affiliates, publishes around 60 peer-reviewed papers annually, and manages an annual budget of roughly $5 million. She serves as Principal Investigator of the strategic alliance BrainDrugs since 2019, funded by a Lundbeck Foundation grant of 2.1 million euros. Her research institute supervises about 30 national and international pregraduate and PhD students each year. She leads the NRU laboratory focused on precision medicine approaches to identify optimal treatments for patients with major depressive disorder or epilepsy, working within the BrainDrugs alliance. Her team employs sophisticated molecular imaging techniques and maintains strong international collaborations across multiple research consortia.

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Jay DeslauriersView profile

Research Fellow

University of WestminsterUnited Kingdom

Jay Deslauriers serves as a Research Fellow at the University of Westminster's Centre for Parallel Computing and holds a Teaching Fellow position at Imperial College London spanning both the Graduate School and Business School. With five years at Westminster following prior service as a full-time Lecturer in the School of Computer Science & Engineering, his career bridges advanced cloud research and technical education. His research focuses on cloud and container orchestration with emphasis on vendor-agnostic solutions across the cloud-edge continuum. Key projects include leading MiCADO framework development for the EU Horizon 2020 DIGITbrain (Digital Twins in Manufacturing) and ASCLEPIOS (secure healthcare cloud platform) initiatives. His technical expertise spans Kubernetes, Docker, TOSCA standards, and infrastructure-as-code implementation. Research outputs show consistent publication trends in Decentralized orchestration frameworks (2023-2025) Digital twin deployment systems (2021-2022) Cloud-agnostic application management (2018-2020) with recent work emphasizing microservices in edge computing environments. His professional engagement includes Society of Research Software Engineering membership (since 2019) AdvanceHE fellowship (since 2020) supporting his dual focus on technical infrastructure and research education. Current supervision interests center on cloud/container orchestration, Docker/Kubernetes implementation, and statistical methods for resource optimization. His MiCADO framework remains central to multiple EU-funded projects with ongoing development for cloud-edge continuum applications.

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Simona HalungaView profile

Professor

University POLITEHNICA of BucharestRomania

Simona Halunga is a Full Professor at the National University of Science and Technology Politehnica Bucharest, Faculty of Electronics, Telecommunications and Information Technology. She leads research in the Wireless Networks and Internet of Things Laboratory, focusing on cutting-edge communication technologies and security aspects. Her research interests span a wide spectrum of modern communication technologies. She specializes in Wireless Networks, Internet of Things, 5G/6G technologies, Signal Processing, and Network Security. Her work particularly focuses on practical implementations of communication systems in challenging environments, including UAV communications, LoRaWAN networks, and secure data transmission. She has made significant contributions to understanding electromagnetic vulnerabilities, TEMPEST security, and the development of secure communication protocols for IoT applications. Her publication record shows consistent focus on emerging communication technologies, with recent work examining the integration of AI and machine learning in network management, optimization of wireless resources, and addressing security challenges in distributed systems. Her research often bridges theoretical concepts with practical implementations, as evidenced by numerous experimental studies and real-world testing campaigns. 212 publications with 44,818 reads 2,233 citations Professor Halunga has been actively involved in numerous research projects, including the EREMI project funded under ERASMUS+ KA203, which focuses on developing advanced interdisciplinary higher education curriculum for resource efficiency in manufacturing. She collaborates extensively with researchers both within her institution and internationally. Her laboratory work encompasses both theoretical research and practical implementation, with significant contributions to understanding electromagnetic vulnerabilities of various devices, development of secure communication protocols, and optimization of wireless network performance in diverse scenarios.

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Ovidiu Petru StanView profile

Associate Professor

University of MadeiraPortugal

Ovidiu Petru Stan serves as Associate Professor in the Department of Automation at the Faculty of Automation and Computer Science, Technical University of Cluj Napoca, Romania, while concurrently directing the institution's Socio-Economic Relations Department since joining the university in 2008. His research spans critical interdisciplinary domains including Dependability engineering, Cyber-Physical Systems integration, E-Health applications, Internet-based Information Management, and distributed Cloud-Fog-Edge Computing architectures. This portfolio demonstrates a consistent focus on resilient systems design for healthcare technology and infrastructure-critical computing environments. Professional Recognition: Senior IEEE Member Dr. Stan has significantly contributed to academic discourse through organizational leadership in seven IEEE conferences and one IFMBE conference since 2012, though specific student mentorship activities or research funding details remain unreported in the source material.

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