Find Academic Supervisors

Jimmy McGibneyView profile

Lecturer

• Network Security
• Artificial Intelligence
• Cybersecurity
• +5 more

Jimmy McGibney is a Lecturer in the Department of Computing and Mathematics at Waterford Institute of Technology (WIT), now part of South Eastern Technological University (SETU). He holds a Master of Engineering from Dublin City University (1995) and a Bachelor of Engineering (Electronic) from University College Dublin (1992). His research focuses on network security, AI-driven cybersecurity solutions, trustworthiness in service compositions, and resource-constrained environments. External roles include serving as a Researcher at the Telecommunications Software and Systems Group (2000), a Research Assistant at Dublin City University (1996–1997), and a Systems Engineer at Aldiscon (1994–1996). His work emphasizes applied research in intrusion detection systems, network forensics, and trust management frameworks. Key research interests include AI applications in cybersecurity, trust metrics for service compositions, and securing edge computing environments. He has organized workshops on digital forensics and incident response, and his recent work explores AI methodologies for resource-limited systems. McGibney’s publications span over 38 works, including peer-reviewed chapters and conference contributions. Notable areas include network forensic readiness frameworks, deep learning-based intrusion detection, and trust overlays for spam protection. He has contributed to projects funded by industry and academic collaborations, focusing on practical cybersecurity solutions.

• Atmospheric Science
• Climate Physics
• Cloud Dynamics
• +3 more

Bjorn Stevens is the Managing Director of the Max Planck Institute for Meteorology and a Professor (§17) at the University of Hamburg. He leads the Climate Physics department, focusing on understanding how atmospheric water vapor, clouds, and radiative processes shape global and regional climates. His research explores turbulent mixing, cloud microphysics, and their role in climate feedback mechanisms, with contributions to observational techniques and high-resolution climate modeling. Education: PhD in Atmospheric Science (1996, Colorado State University), M.Sc. and B.Sc. in Electrical Engineering (1990 and 1987, Iowa State University). Professional experience includes roles at UCLA, NCAR, and leadership in major initiatives like HD(CP)2 and NextGEMS. He has supervised 25 PhD students, 29 master’s students, and 30 postdocs. Research interests span climate variability, cloud organization, and interactions between clouds and large-scale circulation. Recent work emphasizes storm-resolving models, tropical convection, and radiative feedbacks. Stevens has contributed to the Nobel Prize-winning IPCC assessments and leads projects like the Earth Virtualization Engines (EVE) to advance climate simulation capabilities.

Anuj SharmaView profile

Professor

• Big Data Analytics in Transportation
• Data-Driven Decision Making
• Traffic Signal Systems
• +3 more

Dr. Anuj Sharma is a Professor in the Department of Civil, Construction, and Environmental Engineering at Iowa State University, serving as Co-Director of the REACTOR Lab and Director of FAST-TrAC. He holds affiliations with InTrans, CTRE, and REACTOR, and is CEO of ETALYC Inc. His research focuses on big data analytics, traffic signal systems, and real-time transportation decision-making. Education: PhD in Civil Engineering, Purdue University, 2008 MS in Civil Engineering, Texas A&M University, 2004 BE in Civil Engineering, Regional Engineering College, Rourkela, India, 2001 Research Interests: Dr. Sharma’s work leverages big data to improve transportation systems, including real-time analytics, traffic signal optimization, and smart rural infrastructure. His lab, REACTOR, integrates multiple data streams for policy and operational decisions. Publications: His recent work spans driver behavior analysis, autonomous systems, and traffic safety, with a focus on data-driven solutions. Notable projects include congestion modeling and pandemic-era traffic adaptations. Awards: Social Analytics Strategic Network (SASNet) Fellow, 2016 Outstanding Reviewer (Journal of Transportation Engineering), 2014 Pikarsky Award for PhD Dissertation, 2008 Grants & Projects: Secured over $13M in funding for 32+ projects, including work on adaptive traffic control, AI-driven data analysis, and rural safety. Active roles in TRB committees and journal reviewing highlight his leadership in the field. Labs & Teams: Leadership at REACTOR Lab drives innovations in transportation data management and real-time systems, collaborating with agencies like Iowa DOT.

• Automated Theorem Proving
• ATP System Evaluation
• Distributed Reasoning Systems
• +2 more

Geoff Sutcliffe is a Professor in the Department of Computer Science at the University of Miami's College of Arts and Sciences. He holds a PhD from the University of Western Australia (1992), MSc from the University of Natal (1986), and BSc (Hons) from the University of Natal (1983). His research focuses on Automated Theorem Proving (ATP), evaluation methodologies for reasoning systems, and distributed computational frameworks. His primary research areas include developing infrastructure for ATP systems through the TPTP (Thousands of Problems for Theorem Provers) World project, organizing the CADE ATP System Competition (CASC), and creating standards for logic representation. His work bridges theoretical foundations with practical implementations in AI and computational logic. Research publications demonstrate sustained focus on ATP system improvements, logical framework extensions, and historical analyses of automated reasoning. Recent works explore non-classical logics, semantic web integrations, and performance benchmarking techniques. Scholarship consistently emphasizes practical tool development alongside theoretical advances.

• Climate Modelling
• Paleoclimate Modelling
• Earth System Modelling
• +3 more

Dr. Jan Streffing is a Scientific Programmer in the Climate Dynamics department at the Alfred Wegener Institute (AWI) in Bremerhaven, Germany. His work focuses on advancing Earth System Models (ESMs) with an emphasis on coupled climate modeling, paleoclimate simulations, and ensuring model scalability while preserving mass and energy conservation. He coordinates Earth System Model development efforts, particularly with the AWI-CM3 climate model framework. His research interests include high-resolution climate projections, atmosphere-ocean coupling mechanisms, and improving model physics through numerical methods. Streffing contributes to global kilometer-scale simulations using frameworks like IFS-FESOM, addressing challenges in resolving ocean eddies and cloud processes. He has developed ESM-Tools infrastructure to modularize climate modeling workflows and enhance computational efficiency. Key projects involve the MOSAiC expedition evaluation, where nudging techniques were applied to align model outputs with in-situ observations, revealing model deficiencies in cloud dynamics and snowpack representation. His work also explores deep-water formation impacts on climate sensitivity and integrates data assimilation techniques to improve sea ice forecasts in the AWI coupled prediction system. Streffing's contributions bridge climate science and computational practices, supporting advancements in model resolution, scalability, and accuracy for understanding future climate scenarios.

• Electric Vehicles
• Fuzzy Logic
• Blockchain
• +5 more

Shahid Hussain is an Associate Professor at King Abdullah University of Science and Technology (KAUST) in the Computer, Electrical and Mathematical Sciences and Engineering Division. His research spans multiple domains including electric vehicle infrastructure, blockchain technology, and intelligent systems for IoT applications, with a focus on practical implementations of computational intelligence techniques. Dr. Hussain's research interests include: Electric Vehicles and Smart Grid Integration Fuzzy Logic and Intelligent Decision Systems Blockchain Applications for Security and Privacy Machine Learning for IoT and Healthcare Applications Energy Management Systems Smart City Infrastructure Development His recent publications demonstrate a strong focus on applying hybrid computational approaches to solve complex engineering problems, particularly in transportation systems and healthcare applications. Dr. Hussain has published extensively in IEEE journals, with particular emphasis on innovative approaches to electric vehicle charging infrastructure, secure IoT systems, and blockchain-enabled solutions for real-world challenges. Dr. Hussain maintains active collaborations with researchers globally, particularly with Reyazur Rashid Irshad, Young-Chon Kim, and Subhasis Thakur. His work bridges theoretical advancements with practical implementations, as evidenced by his research on fuzzy integer linear programming for EV charging stations and blockchain-enabled security frameworks for medical IoT systems.

• Wireless Communications
• Internet of Things (IoT)
• Optimization
• +7 more

Dr. Khoa Phan is a Senior Lecturer in the Department of Computer Science and Information Technology at La Trobe University, Australia. He holds an ARC DECRA Senior Research Fellowship (2020-2023) and has held prior positions at UCLA, Monash University, and others. His academic background includes a B.Eng. (UNSW), two M.Sc. degrees (University of Alberta and Caltech), and a Ph.D. in Electrical Engineering from McGill University. Dr. Phan's research focuses on optimizing next-generation communication networks, particularly in wireless communications, IoT, satellite systems, and machine learning applications. He has secured significant grants, including ARC Discovery Projects and industry partnerships. His work emphasizes secure cyber-physical systems, federated learning, and edge computing. He has received prestigious awards such as the ARC DECRA and Atwood Fellowship. His research spans over 100 publications, with contributions to areas like OTFS modulation, secure satellite communications, and graph-based anomaly detection. He actively supervises PhD students and collaborates internationally, including initiatives to strengthen ties between La Trobe University and Vietnamese institutions. Grants include ARC Discovery Projects (totaling $1.3M+), CRC SmartSAT, and industry scholarships. His work addresses energy efficiency, secure resource allocation, and AI-driven solutions for 5G/6G networks and the metaverse.

Martin ReissleinView profile

Professor

• Communication Networks
• Engineering Education
• Multimedia Networking
• +5 more

Dr. Martin Reisslein is a Professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University (ASU), where he also serves as Program Chair of Computer Engineering. He earned his Ph.D. in Systems Engineering from the University of Pennsylvania (1998) and holds degrees from the University of Pennsylvania and Fachhochschule Dieburg, Germany. His research focuses on communication networks (e.g., 5G, optical networks, software-defined networking) and engineering education, with over 200 journal articles and 60 conference papers. He has led NSF-funded projects on network architecture optimization and K-12 engineering education. Education : Ph.D. (Systems Engineering, UPenn, 1998), M.S.E. (Electrical Engineering, UPenn, 1996), Dipl.-Ing. (FH) (Electrical Engineering, Fachhochschule Dieburg, 1994) Awards : NSF Career Award (2002), IEEE Fellow (2014), Bessel Research Award (2015), DRESDEN Fellowship (2016) Editorial Roles : Co-Editor-in-Chief of Optical Switching and Networking , Associate Editor for multiple IEEE journals His research spans communication networks (e.g., multimedia networking, optical systems) and engineering education (e.g., K-12 outreach, instructional design). Recent articles address cloud computing, 5G architectures, and cybersecurity in satellite systems. He teaches courses such as Communication Networks and oversees graduate research.

• Distributed Systems
• Edge Computing
• Serverless Computing
• +4 more

Stefan Nastic is an Assistant Professor at the Technische Universität Wien (TU Wien), affiliated with the Faculty of Informatics and the Distributed Systems department. He serves as Curriculum Coordinator for the Master’s program in Distributed and Next Generation Computing, and is a Substitute Member of the Curriculum Commission for Informatics. His research focuses on distributed systems, edge computing, serverless computing, IoT, and smart cities. He holds a PhD in IoT cloud systems (2016) and a BSc (not explicitly stated). Key research contributions include frameworks for serverless edge-cloud continuum (e.g., HyperDrive, GoldFish), federated learning applications (e.g., adaptive human activity recognition), and IoT infrastructure governance (e.g., Polaris Scheduler). He leads projects like RapidREC (2023–2025) on supply chain optimization and participates in initiatives like TEADAL (2022–2025) for edge-cloud workflows. Publications span 30+ peer-reviewed articles in top venues like IEEE IoT, ACM, and IEEE Cloud. He supervises graduate students on stateful serverless functions, federated learning, and edge-cloud scheduling. His work addresses challenges in resource management, latency reduction, and scalable distributed systems.

• Distributed Systems
• Service-Oriented Computing
• Cloud Computing
• +3 more

Marco Aiello is affiliated with the Vienna University of Technology (TU Wien), Department of Distributed Systems within the Faculty of Informatics. His work focuses on distributed systems, service-oriented computing, and cloud computing, with contributions to edge computing and IoT. He has edited multiple conference proceedings, including the 2023 SummerSOC conference and the 2016 Service-Oriented and Cloud Computing volume. His research includes projects like TEADAL (2022–2025) and SM4ALL (2008–2011), exploring middleware for pervasive environments and home automation. Aiello has authored influential papers on web service indexing, QoS composition, and embedded systems. He received the 2006 Web Service Challenge award for his indexing work. Education details: PhD in Informatics (not explicitly listed but inferred from role). His research interests span distributed systems' theoretical foundations and practical implementations, emphasizing accessibility and scalability. Recent publications highlight trends in serverless architectures and edge-based IoT processes. He is actively involved in academic publishing, serving as an editor and conference organizer. Key Projects : TEADAL (2022–2025), SM4ALL (2008–2011) Awards : 2006 Web Service Challenge (2nd place) Grants : FFG-funded project (2009–2011) Labs/Teams: Part of TU Wien's Distributed Systems research group, collaborating on middleware and service-oriented technologies.

• Quantum Computing
• Edge Computing
• Distributed Systems
• +2 more

Dr. Vincenzo De Maio is a PostDoc Researcher at the Department of Computational Sustainability, Faculty of Informatics, Technische Universität Wien. His research spans quantum computing, edge computing, distributed systems, and sustainable computing, with a focus on hybrid quantum-classical systems and edge AI applications. Current projects: HPQC (2023–2025), ThEMIS FWF (2024–2027), TRITON FWF (2023–2027) Previous projects: RUCON (2016–2023), SWAIN (2021–2024) His research explores the integration of quantum computing with classical systems, particularly in software engineering, workflow decomposition, and hyperparameter optimization. He also works on edge computing for smart cities, environmental monitoring, and traffic safety applications. Recent publications analyze quantum compilation bottlenecks, hybrid quantum-classical workflow orchestration, and quantum neural network optimization. He supervises master's theses on topics like quantum edge benchmarking and hyperparameter tuning. Key collaborations with Prof. Ivona Brandic and others Active in IEEE/ACM conferences and Springer publications

Daniel GoldbergView profile

Associate Professor

• GIS
• Geocoding
• GeoComputation
• +9 more

Dr. Daniel Goldberg is an Associate Professor at Texas A&M University and Director of the TAMU GeoInnovation Service Center. His expertise spans GIS, geocoding, and geocomputation, with a focus on health and environmental applications. He holds a Ph.D. in Computer Science (USC, 2010), M.Sc. (USC, 2003), and B.Sc. (Rutgers, 2002). His research interests include CyberGIS, 3D GIS, spatial databases, and environmental exposure assessment. Notable projects involve developing real-time mobile crowdsensing systems and analyzing the impact of natural disasters on public health. He has contributed to over 40 peer-reviewed articles, often leveraging interdisciplinary approaches. Dr. Goldberg has received awards such as the Texas A&M Montague Scholar Award (2015) and the CyberGIS Fellow designation (2014). His work emphasizes geospatial privacy, health data security, and innovative GIS education methods. He leads the TAMU GeoServices team and collaborates with national institutions like the National Center for Supercomputing Applications. Advising highlights include mentoring over 20 graduate and undergraduate students, with notable contributions to projects on cyberGIS frameworks and NTD surveillance. His lab focuses on bridging geospatial technology with societal challenges in health, environment, and urban planning.

• Blockchain
• Internet of Things (IoT)
• Edge computing
• +9 more

Abdelhakim HAFID is a Full Professor at the University of Montreal , affiliated with the Faculty of Arts and Science and the Department of Computer Science and Operations Research . He leads the LRC — Laboratoire de recherche en réseaux de communication and is a member of several research centers including CIRRELT (interuniversity research center on enterprise networks, logistics, and transportation), the Cyberjustice Lab , and talents (AI for cybersecurity lab). His research focuses on Blockchain security , IoT , edge and fog computing , intelligent transport systems , and network resource management . He has supervised over 30 graduate students and led/co-led numerous research projects funded by agencies like NSERC , FRQNT , and MITACS . Notable projects include Blockchain Evolution: Quantum-Resistant Security (2025–2031) and Design and Management of Fog Networks (2019–2026). His work spans vehicular networks , mobile cloud computing , and machine learning for network optimization . He actively contributes to cybersecurity initiatives, including IoT authentication frameworks and AI-driven solutions for judicial systems (e.g., Cyberjustice ). Key Projects : Quantum-Resistant Blockchain Security (2025–2031) IoT Authentication via Blockchain and Intelligent SIM (2022–2026) Fog Network Design (2019–2026) Grants : NSERC Discovery Grants MITACS Acceleration Fellowships FRQNT Team Research Grants His lab collaborations include CIRRELT (logistics & transport) and Cyberjustice (digital law), reflecting interdisciplinary strengths in both technical and societal domains.

Ulf MelinView profile

Professor

• Public Sector Digitalization
• Digital Service Development
• Open Data
• +3 more

Ulf Melin is Professor and Dean at Linköping University's Department of Management and Engineering, specializing in digital government, public sector transformation, and smart city solutions. His research examines how digital technologies reshape bureaucratic organizations and public service delivery, with particular focus on Scandinavian governance models. Key research areas include robotic process automation in government, open data ecosystems, AI governance policies, and socio-technical aspects of smart city development. His work balances technical innovation with institutional analysis to address tensions between digital efficiency and public values. Professor Melin has received multiple awards including the Emerald Literati Award and EGOV Outstanding Paper awards. He leads projects investigating automation ethics, administrative burden in digital services, and municipal transformation strategies, contributing to national policy discussions on AI governance in Sweden.

Arturo Azcorra SaloñaView profile

Professor

• Multi-access Edge Computing
• Network Function Virtualization
• 5G networks and services
• +3 more

Arturo Azcorra Saloña is a Full Professor at Universidad Carlos III de Madrid and the founder & Director of IMDEA Networks Institute. He has held leadership roles in technology transfer, including Director General positions at CDTI and the Spanish Ministry of Science and Innovation. Education: M.Sc. in Telecommunications Engineering (1986) and PhD in Telecommunications (1989) from UPM, MBA with honors from Instituto de Empresa (1993) Research interests focus on Multi-access Edge Computing , Network Function Virtualization , and 5G networks , with significant contributions to Software Defined Networks and Smart connectivity systems . His publications span wireless networking, vehicular networks, and formal methods, with high-impact papers on 802.11 protocols, 5G architecture, and vehicular mobility optimization. Scientific awards: Elected Chairman of Networld2020 ETP, Special University award for extraordinary merits (2002), National PhD prize (1990), Best graduating student prize (1986) Research management includes coordinating EU projects like 5G-TRANSFORMER, 5G-CROSSHAUL, and networks of excellence such as CONTENT and E-NEXT. He co-founded the ACM CoNEXT conference and contributes to European 5G PPP initiatives.