Find Academic Supervisors

• Internet of Things
• Cybersecurity
• Smart Cities
• +4 more

Dr. Oluwaseun Bamgboye is a Lecturer at Edinburgh Napier University's School of Computing Engineering and the Built Environment. His research focuses on Internet of Things (IoT) , Cybersecurity , and Semantic Technologies , with applications in Smart Cities, Data Quality, and Sensor Networks. He actively publishes in IoT data validation , XAI for cyberattack detection , and real-time analytics . Academic Affiliation: School of Computing Engineering and the Built Environment, Edinburgh Napier University Research Interests: Dr. Bamgboye's work bridges semantic modeling and machine learning to address data consistency in Smart Spaces, enhance cybersecurity through explainable AI (XAI) , and develop IoT-driven decision-making systems . His projects often integrate RDF stream processing and rule-based reasoning for real-time data quality assurance. Publication Trends: His recent articles (2023-2025) emphasize IoT network security , XAI frameworks , and smart city infrastructure . Earlier works (2015-2019) focus on distributed systems fault tolerance , sensor data uncertainty , and web accessibility tools . Key methodologies include neurosymbolic learning , ensemble models , and semantic stream management . Supervision: Dr. Bamgboye supervises PhD projects such as: Enhanced deep learning and semantic-based predictive analytics for reactive IoT streaming data (Talatu Adamu, 2024–present) AI-driven and IoT-assisted explainable smart banking (Fatima Mumtaz, 2024–present) Semantic models for sensor data uncertainty in smart systems (Tawanda Nyakudya, 2022–present) Web accessibility auditing (Collins Ovie, 2023–present)

• Natural Language Processing
• Computer Vision
• Artificial Intelligence
• +3 more

Aditya Sharma is a researcher at the University of California Santa Barbara , focusing on Natural Language Processing , Computer Vision , and Artificial Intelligence . His work bridges vision-language models, medical AI evaluation, and knowledge graph reasoning. PhD : Advancing AI Understanding in Language & Vision (UCSB, 2024) Research Interests: • Vision-Language Models for geometric reasoning and mixed reality • Medical LLM evaluation and hallucination reduction • Temporal knowledge graph reasoning and multimodal systems Article Trends: Recent publications emphasize vision-language integration (e.g., GeoCoder, OCTO+), LLM reliability in medical contexts (MedHELM), and temporal reasoning (TwiRGCN). He explores applications in dark web security , healthcare diagnostics , and energy-efficient computing .

Graham JohnsonView profile

Researcher

• Interactive and high-performance web visualization
• Immersive visualization environments
• Information visualization
• +3 more

Graham Johnson is a Researcher at the National Renewable Energy Laboratory (NREL), affiliated with the Computational Science Center and the Data, Analysis, and Visualization Group . His work focuses on designing high-performance visualization tools for energy systems and decision-making processes. Primary research areas include interactive web visualization, immersive environments, and real-time visual analytics. Formerly at The Aerospace Corporation (2017–2020), he transitioned to NREL to develop advanced visualization pipelines and collaborative tools. His recent publications highlight innovations in energy scenario modeling, contour visualization alternatives, and situational awareness applications. Articles emphasize Computer Science , Energy Systems , and Human-Computer Interaction themes. Education includes dual Masters in Applied Mathematics and Aeronautical & Astronautical Engineering from Purdue University, along with a Bachelor's in the latter field.

Peter PopovView profile

Researcher

• Software Reliability
• System Dependability
• Software Fault-Tolerance
• +5 more

Peter Popov is a Reader at the Centre for Software Reliability (CSR) , City St George's, University of London , where he has been employed since 1997. He specializes in software dependability , fault tolerance , and stochastic modeling of critical infrastructures. Before his current position, he was an Associate Professor at the Bulgarian Academy of Sciences (1990-1997) and a Research Fellow at City St George's. Peter's academic journey began with a PhD in Computer Science from the Kiev National University of Technologies and Design (1989), following his BEng in Computer Engineering from the National Technical University of Ukraine (KPI, 1982). He has worked as a visiting scientist at renowned institutions including the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign , LAAS-CNRS in Toulouse, and Duke University . His research interests span Software reliability assessment System dependability Software fault-tolerance Performance evaluation Interdependencies of critical infrastructures He has contributed extensively to projects such as ReSIST , IRRIIS , DISPO , and AFTER , focusing on the dependability of composite systems and critical infrastructure resilience. Key publication trends reveal expertise in Stochastic modeling of autonomous vehicle safety Software diversity for fault tolerance Interdependency analysis in critical systems Bayesian reliability assessment Performance evaluation of distributed protocols Security implications in cyber-physical systems Peter has supervised several PhD students , including those researching autonomous vehicle resilience , safety assurance with ML components , and adaptable web services . His professional activities include serving on program committees for ISSRE , SAFECOMP , and EDCC conferences, as well as editorial contributions to CEUR Workshop Proceedings . He is proficient in Bulgarian , English , and Russian , with peer-review capabilities in all three languages.

Michael SwartwoutView profile

Associate Professor

• Space Systems Engineering
• Small Satellites (CubeSats)
• Space Situational Awareness
• +5 more

Michael Swartwout serves as Associate Professor in the Department of Aerospace and Mechanical Engineering at Saint Louis University's School of Science and Engineering. He joined SLU in 2009 after nine years at Washington University in Saint Louis, where he contributed to student-built space missions including Sapphire (launched 2001). His educational background includes: Ph.D. in Aeronautics and Astronautics, Stanford University M.S. in Aerospace Engineering, University of Illinois at Urbana-Champaign B.S. in Aerospace Engineering, University of Illinois at Urbana-Champaign Dr. Swartwout's research centers on space systems innovation , particularly low-cost spacecraft development where universities leverage high risk tolerance to disrupt the space industry. His work on CubeSats examines why certain technologies succeed while others fail, with focus areas including space situational awareness (detecting nearby spacecraft), space mission history, logistics, and breaking the "cost and risk death spiral" through affordable, high-volume missions that permit failure as a learning tool. The Space Systems Research Laboratory under his co-direction drives fundamental research in nano/pico spacecraft, SSA, spacecraft technologies, and mission failure analysis. His 15 most recent publications (2018-2025) reveal strong trends in CubeSat evolution from niche to mainstream applications, with growing emphasis on mission assurance, autonomous constellations, and space situational awareness. Recent works analyze statistical trends in university-class spacecraft success rates while exploring emerging frontiers like in-space assembly and optical communications. Honors include: Senior Member of AIAA Tau Beta Pi Engineering Honor Society KEEN iFaculty fellow As co-director of SLU's Space Systems Research Laboratory, Swartwout trains students in full spacecraft design lifecycles through missions like SLU-01/COPPER (2013), SLU-02/Argus (2014), and SLU-03/Rascal (2015). He serves as SLU's representative to the Missouri Space Grant Consortium and teaches courses in spacecraft integration, systems engineering, and space mission failures. His grant-funded work focuses on radiation effects modeling, proximity operations, and university spacecraft program sustainability. The Space Systems Research Laboratory provides hands-on facilities for spacecraft design, fabrication, testing, and operation, with current projects advancing deployable boom technologies, radiation-hardened electronics, and multi-vehicle proximity operations for space situational awareness.

Stanley Bruce ThomsonView profile

Assistant Professor

• Diversity management
• Human resources management
• Organizational behavior
• +2 more

Stanley Bruce Thomson serves as Assistant Professor in the Department of Management and Organizations at MacEwan University's School of Business in Edmonton, Alberta. His academic profile centers on critical workplace dynamics including diversity management, human resources systems, organizational behavior, and the intersection of religion/spirituality with professional environments. Thomson actively engages with media through MacEwan's Office of Communications & Marketing as an expert commentator. Thomson's research program critically examines how religious identity shapes organizational ethics and decision-making processes, with particular focus on microaggressions against marginalized groups and crisis leadership dynamics. His work bridges theoretical frameworks like stigma theory with practical applications in global contexts including China, Canada, Jamaica, and Australia. Methodologically, he specializes in qualitative approaches including framework analysis and case study research. Analysis of Thomson's recent publications (2019-2024) reveals three dominant scholarly trajectories: (1) religious/spiritual dimensions of workplace ethics and diversity, (2) crisis leadership and organizational resilience across cultural contexts, and (3) HRM challenges in international expansion and developing economies. His work consistently employs cross-cultural comparative frameworks while maintaining methodological rigor through qualitative validation techniques. No scientific awards or major fellowships are documented in the available sources regarding Thomson's academic career. Current information does not specify doctoral advisees or master's students supervised by Thomson. Similarly, details about externally funded research grants or major collaborative projects remain unreported in the provided materials, though his international case studies suggest potential partnerships with organizations in China and Jamaica.

• Power Systems
• Cyber Security for Power Grids
• Electric Grid Infrastructures
• +3 more

Eduardo Cotilla-Sanchez serves as an Assistant Professor at Oregon State University, actively leading CREDC research initiatives focused on cyber-physical security for electric power systems. His institutional affiliation centers on developing real-time situational awareness frameworks and attack-resilient data analytics specifically for grid operations. His research spans critical intersections of power engineering and cybersecurity, emphasizing machine learning applications for grid defense against evolving threats. Key specialties include microgrid reconnection strategies, security metric development for infrastructure hardening, and modeling attack propagation through power networks using graph theory. This work directly addresses vulnerabilities in smart meters and distributed energy resources. Publications reveal a concentrated trend toward data-driven security solutions, with recurring themes in oscillatory attack mitigation, resilience analytics, and learning-based control systems for modernized grids. The research consistently targets practical cyber-physical threats rather than theoretical constructs. No scientific awards were documented in the source material. While leadership roles in CREDC projects imply research funding oversight, no specific grants or student advisement details were provided in the extracted text. He operates within CREDC's research ecosystem, directing efforts in real-time risk awareness for electric distribution systems against cyber attacks and pioneering analytics for maintaining grid operations during adversarial events.

Virginia DignumView profile

Professor

• Responsible Artificial Intelligence
• AI Ethics and Governance
• Human-Agent Teamwork
• +2 more

Virginia Dignum is Professor of Responsible Artificial Intelligence and Director of the AI Policy Lab at Umeå University's Department of Computing Science. She serves as senior advisor for AI policy to the Wallenberg Foundations and is an active member of the UN High Level Advisory Body on AI. Her institutional affiliations include the Faculty of Technology Policy and Management at Delft University of Technology. Her research centers on the complex interdependencies between people, organizations, and technology. Key interests include: Responsible AI: Moral/ethical issues in autonomous agent teams and regulatory frameworks Social interaction formalization: Developing computational architectures for agent deliberation based on social practices Human-agent teamwork: Investigating negotiation, trust, and collaboration dynamics in socio-technical environments Her work bridges theoretical AI foundations with real-world policy implementation. Analysis of her recent publications reveals strong focus on AI governance frameworks, explainability mechanisms, and fairness operationalization. Key trends include development of context-sensitive ethical assessment tools, regulatory sandbox implementations, and formal models for human-AI coevolution. Her research increasingly addresses planetary-scale AI impacts and children's rights in digital environments. Major recognitions include: Election to Swedish Royal Academy of Engineering Sciences (IVA), 2020 Fellowship in European Artificial Intelligence Association (EURAI), 2018 Veni Fellowship from NWO for agent-based organizational frameworks, 2006 AI Ethics Professional of the Year award, 2022 Dignum actively shapes global AI policy through leadership roles in the UN High Level Advisory Body, Global Partnership on AI (GPAI), and World Economic Forum Council on AI. She chairs major conferences including AAMAS'24 and serves as Ethics Chair for AAAI'24. Her advisory work extends to the European Commission, IEEE Global Initiative, and UNESCO AI Ethics Recommendation implementation. Current initiatives include the Vatican lecture series on AI ethics and regional AI policy development in Västerbotten. She directs Umeå University's AI Policy Lab, focusing on translating ethical principles into actionable governance frameworks. The lab develops tools for regulatory compliance assessment and stakeholder engagement in AI deployment. Recent projects address digital contact tracing governance and AI's impact on democratic processes.

Jim DavisView profile

Senior Lecturer

• User Experience (UX)
• Technology-Supported Learning
• Digital Media Design
• +3 more

Jim Davis is a Senior Lecturer at the Wolverhampton School of Art within the Faculty of Arts, Business and Social Sciences at the University of Wolverhampton. His work bridges academic and creative domains, focusing on user experience design and technology-supported learning . Education : PhD in Learning Technology (award-winning), MA in Computing in Design, BA (Hons) in Audio Visual Design Research interests center on user experience in digital domains, particularly through practice-as-research methodology. His projects examine audience engagement in street performance, digital media, and the intersection of situation awareness and reflective practice . Recent publications span both academic and artistic outputs, including performances under the stage name Ginger Geoffrey and music video productions in the UK, USA, Germany, and Japan. Key Research Themes : Digital media design, interactive communication, technology-enhanced practical skills training Scientific contributions are recognized via Fellowship of the Higher Education Academy and industry memberships with the Musicians Union and National Education Union . Jim also contributes to knowledge transfer partnerships in e-learning and actively integrates creative practice with pedagogy through film, games design, and digital media experimentation.

• Filesystems
• High Performance Computing
• Distributed Storage
• +4 more

Ramnatthan Alagappan is an Assistant Professor at the Siebel School of Computing and Data Science, University of Illinois. His research focuses on distributed systems, storage systems, and fault tolerance in modern datacenter environments. He leads projects investigating high-performance storage abstractions, replication strategies, and reliability engineering for distributed infrastructure. Key research areas include filesystem design, crash consistency mechanisms, and optimizing storage hierarchies for hybrid NVM environments. His work emphasizes practical implementations of theoretical models, such as the LazyLog shared log abstraction and IONIA replication framework for disk-based key-value stores. Alagappan has received the NSF CAREER Award (2024) for his research on datacenter-aware storage systems. His recent publications address challenges in disaggregated datacenters, fault tolerance for modern workloads, and automated reliability testing for cluster management systems. He collaborates extensively on projects involving distributed storage protocols, log-based systems, and performance optimization for large-scale infrastructures. His research spans theoretical contributions (e.g., consistency models) to applied systems work (e.g., implementing fault-tolerant storage stacks), with a focus on bridging gaps between hardware capabilities and software system design.

• Aerospace Vehicle Design
• Avionics Systems
• Spaceflight Systems
• +10 more

Roberto Sabatini is a Professor and Chair of the Aerospace Engineering Department at Khalifa University, where he founded the Aerospace Systems Research Group (ASRG) and Guidance, Navigation and Control Laboratory (GNCLab). He leads the FALCON Program developing sustainable aviation and Advanced Air Mobility research. With over three decades of aerospace experience across international institutions, his work focuses on integrating advanced technologies in aviation and space systems. Education includes: PhD in Aerospace Engineering (Cranfield University) PhD in Space Geodesy (University of Nottingham) MSc in Astronautical Engineering (Sapienza University of Rome) MSc in Navigation Technology (University of Nottingham) EMBA (Quantic School of Business) Research interests center on aerospace robotics, autonomous systems, and multi-domain traffic management with emphasis on safety-critical avionics and sustainable aviation technologies. Recent publications demonstrate strong focus on AI applications in air/space traffic management and autonomous systems. Awards and honors: 2024 Aviation Business Technology Innovation Award 2021 Aerospace Distinguished Leadership Award 2019 Defence Scientist of the Year 2017 Northrop Grumman Scholarship 2016 SARES Science Award 2015 SAE Arch Colwell Merit Award 2008 NATO Scientific Achievement Award Leads the ASRG research team with multiple PhD students and postdoctoral fellows. Secured over $25M in research funding from government and industry partners including UAE Space Agency and NASA RASC-AL.

Kaushik PrabhuView profile

Assistant Professor

• Astrodynamics
• Space systems
• Spacecraft formation flying
• +2 more

Kaushik Prabhu is an Instructional Assistant Professor in the Department of Aerospace Engineering at Texas A&M University. His research focuses on astrodynamics, spacecraft formation flying, multi-agent autonomy, and distributed estimation and control systems. He holds a Ph.D. (2023) and M.S. (2018) in Aerospace and Mechanical Engineering, respectively, and a B.Tech. (2014) from Visvesvaraya National Institute of Technology, India. Education: Ph.D., Aerospace Engineering, Texas A&M University – 2023 M.S., Mechanical Engineering, Michigan Technological University – 2018 B.Tech., Mechanical Engineering, Visvesvaraya National Institute of Technology, Nagpur, India – 2014 His research explores innovative solutions for spacecraft formation dynamics, distributed estimation algorithms, and autonomous control systems for space missions. Recent work emphasizes robust optimization techniques for orbital mechanics and sensor fusion applications in both space systems and combustion engines. He has contributed to international competitions like GTOC 9 and published on magnetic attitude control systems.

Philippe BlondelView profile

Senior Lecturer

• Underwater Acoustics
• Marine Soundscapes
• Seabed and Habitat Mapping
• +12 more

Philippe Blondel is a Senior Lecturer in the Department of Physics at the University of Bath, affiliated with multiple interdisciplinary research centers including the Institute for Sustainable Energy and the Environment, Water Innovation and Research Centre (WIRC), EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa), Institute for Mathematical Innovation (IMI), Centre for Mathematical Biology, and Centre for Climate Adaptation & Environment Research (CAER). Research Interests: His work focuses on underwater acoustics , including innovative sonar systems, passive acoustics, seabed and habitat mapping, and marine soundscapes—particularly in the rapidly changing Arctic. He also explores acoustic de-risking of offshore renewable energies and space imaging for situational awareness and space debris monitoring. His research is highly experimental, involving fieldwork across all oceans (except Antarctica), custom sensor platforms, and large-scale acoustic data analysis. Research Output Trends: His recent publications emphasize automated analysis of Arctic acoustic environments, seabed mapping using echosounders, and integration of robotics with seismic arrays. These reflect a strong trend toward data-driven, interdisciplinary approaches combining acoustics, environmental monitoring, and climate science. Scientific Awards: No specific awards are listed in the provided text. Supervision and Grants: He is actively supervising doctoral students and has led or collaborated on 19 research projects, including major grants from EPSRC, NERC, Innovate UK, and Horizon Europe. Notable projects include Bio-inspired Acoustic Tactical Navigation (BATNav), HiAOOS (High Arctic Ocean Observing System), and SHIMASU (Shipping and Human Impacts for Marine Arctic Sustainability). Labs and Teams: He collaborates with international teams and contributes to global scientific standards and policy. His work integrates with networks focused on sustainable development, particularly in renewable energy, climate adaptation, and biodiversity.

• Blockchain Technology
• Cyber Security
• Computer Networks
• +6 more

Enis Karaarslan is a Professor in the Department of Computer Engineering at Muğla Sıtkı Koçman University's Faculty of Engineering. With a distinguished academic career spanning over two decades, he has established himself as a leading expert in blockchain technology, cybersecurity, and decentralized systems. His educational background includes a Bachelor's, Master's, and Doctorate all from Ege University, completed between 1994 and 2008. Dr. Karaarslan's research interests focus on the intersection of emerging technologies and practical applications, particularly in blockchain for disaster management, cybersecurity systems, metaverse technologies, and AI applications. His work demonstrates a consistent pattern of addressing real-world challenges through technological innovation, with a strong emphasis on privacy preservation and decentralized architectures. Analysis of his publication record reveals a significant trend toward blockchain applications across various domains including disaster response, healthcare, voting systems, and identity management. His recent work shows increasing focus on metaverse technologies and digital twin applications, reflecting his ability to stay at the forefront of emerging technological paradigms. The breadth of his research spans from theoretical foundations to practical implementations, with numerous papers addressing performance metrics, security evaluations, and real-world case studies. Best Paper Award (2016) Multiple TÜBİTAK research projects as principal investigator or consultant Extensive editorial work for journals including Journal of Metaverse As an educator, Dr. Karaarslan has supervised numerous graduate students through their thesis work and teaches advanced courses in computer networks, decentralized systems, and cybersecurity. His research projects demonstrate strong industry and government collaboration, particularly with TÜBİTAK-funded initiatives addressing national security, privacy concerns, and technological infrastructure development. His laboratory work focuses on practical implementations of theoretical concepts, with emphasis on testbed development for blockchain applications and security evaluation frameworks.

Panos LouvierisView profile

Professor

• Cybersecurity
• Data and Information Fusion
• Defence Analytics
• +7 more

Panos Louvieris serves as Professor of Information Systems at Brunel University London within the Department of Computer Science, College of Engineering, Design and Physical Sciences. He leads the Defence & Cyber Security (DCS) research group and holds co-directorship roles at the Brunel Intelligent Digital Economy and Society (IDEAS) Research Centre and the Trusted Open Models Institute (TOMI) at the Hartree Centre. His academic profile includes committee membership in the EPSRC Digital Personhood Network, EPSRC ITaaU+ Network, and NEMODE+ Network, reflecting his influence in UK research infrastructure. His research spans cybersecurity, data fusion, and computational finance with emphasis on cyber situational awareness, explainable AI, and distributed ledger technologies. Recent work integrates agent-based simulation for pandemic modeling, Markov models for threat prediction, and social media analysis for security awareness. This interdisciplinary approach bridges computer science, operations research, and social sciences to address defense, finance, and public health challenges through advanced computational models. Analysis of his publication trajectory reveals evolving focus from foundational information fusion (2005-2010) to cyber-physical systems (2010-2015), with current emphasis on digital personhood markets (2020-present). His most recent publications demonstrate methodological innovation in blockchain applications for tax compliance and geospatial pandemic modeling, while maintaining core expertise in cyber defense analytics. Louvieris actively supervises research and collaborates with institutions including the Hartree Centre and EPSRC networks. His grant portfolio features the EPSRC-funded Digital Personhood project (2013-2016), Innovate UK's Contact Tracing project (2020-2021), and current leadership of the EPSRC Making Tax Smart initiative (2022-2023) exploring distributed ledger technology for central bank digital currency compliance. He directs the Defence & Cyber Security research group and co-leads the IDEAS Research Centre, fostering cross-disciplinary work on digital economy challenges. Current projects involve HSBC sandbox testing of Open Banking prototypes and development of futures markets for digital personhood data, positioning his team at the intersection of cybersecurity, FinTech, and societal digital transformation.