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Kod PojtanabuntoengView profile

Associate Professor

• Corrosion Engineering
• Materials Science
• Coatings Degradation
• +4 more

Associate Professor Kod Pojtanabuntoeng holds the Chevron-Woodside Chair in Materials & Corrosion Engineering at Curtin University's Curtin Corrosion Centre. He is affiliated with the School of Minerals, Energy and Chemical Engineering under the Faculty of Science and Engineering. His research focuses on corrosion mechanisms in industrial environments, including wet gas pipelines, corrosion under insulation (CUI), and localized corrosion of corrosion-resistant alloys (CRAs). He is a member of the Australasian Corrosion Association (ACA) and National Association of Corrosion Engineers (NACE). His work spans advanced materials characterization, coating durability under extreme conditions, and non-destructive testing (NDT) methodologies. Key projects include evaluating epoxy-amine coatings under thermal aging, UV weathering, and hygrothermal exposure. He also investigates corrosion mitigation strategies for carbon steel and stainless steel in oil and gas applications, with a focus on CO₂ corrosion and microbiologically influenced corrosion (MIC). Recent studies highlight his contributions to understanding residual stress in coatings, terahertz spectroscopy for adhesion assessment, and additive manufacturing corrosion behavior. His interdisciplinary research integrates materials science, electrochemistry, and environmental engineering to address industrial corrosion challenges.

Daniel BoddiceView profile

Assistant Professor

• Geophysical Sensors
• Quantum Technology
• Underground Infrastructure Assessment
• +6 more

Dr. Daniel Boddice is an Assistant Professor in the Department of Civil Engineering at the University of Birmingham, part of the School of Engineering. His research focuses on applying geophysical sensors and quantum technologies to address societal challenges in infrastructure assessment, soil characterization, and subsurface exploration. He collaborates closely with industry partners to develop practical solutions for underground space utilization and environmental monitoring. Education: PhD in Civil Engineering (2015, University of Birmingham) MSc in Archaeological Prospection (2010, University of Bradford) B.A. in Ancient History and Archaeology (2007, University of Liverpool) Research interests include quantum gravity gradiometry, geophysical data fusion, soil-geophysical linkages, and field testing of novel instruments. His work bridges academia and industry, with projects like the Gravity Pioneer grant aimed at commercializing quantum sensors. He also serves as a Surrogate On-site Inspector for the Comprehensive Nuclear Test Ban Treaty Organisation (CTBTO), leveraging his expertise in geophysical detection. Publications highlight advancements in quantum sensing, soil dynamics, and microgravity applications. His teaching roles include module leadership in Ground Investigation and Geotechnical Engineering, emphasizing practical, industry-relevant training.

Mehran Eskandari TorbaghanView profile

Lecturer

• Infrastructure Asset Management
• Robotics in Civil Infrastructure
• Risk Assessment for Transportation Systems
• +4 more

Dr. Mehran Eskandari Torbaghan is a Lecturer in Infrastructure Asset Management at the Department of Civil Engineering, University of Birmingham. He holds a PhD in Risk Management and Linear Infrastructure Systems from the same institution. His career includes five years as a geotechnical engineer, followed by academic roles including Research Fellow and Visiting Research Fellow at the University of Nottingham. His research focuses on smart infrastructure management, leveraging robotics and AI for urban infrastructure monitoring and maintenance. Education: BSc in Civil Engineering, Uromieh University, Iran (2005) MSc (Distinction) in Construction Management, University of Birmingham (2011) PhD in Risk Management and Renewable Energy, University of Birmingham (2016) PGCert in Higher Education (FHEA) Research Projects: Assessing the Underworld Project (road-utility interaction analysis) Self-Repairing Cities Project (robotics in infrastructure repair) CRISPS Project (sustainable road surfacing technologies) His research emphasizes automation in infrastructure management, including AI-driven condition assessment and predictive maintenance strategies for roads and pavements. He has published extensively on topics like data-driven safety management, physics-guided neural networks for pavement analysis, and automated crack severity assessment. Awards: Fellow of the Higher Education Academy (FHEA) Teaching & Grants: Leads modules in infrastructure asset management, rural roads design, and geotechnical engineering. Actively involved in grant-funded research projects focusing on urban infrastructure resilience and sustainable technologies. Labs/Teams: Collaborates with multidisciplinary teams on initiatives like the Self-Repairing Cities and CRISPS projects, advancing automation and digital twin applications in civil engineering.

Moslem SheikhkhoshkarView profile

Lecturer

• Digital Construction
• Building Information Modeling (BIM)
• Construction Automation
• +7 more

Dr. Moslem Sheikhkhoshkar is a Lecturer in Digital Construction at the School of Engineering, Faculty of Engineering and Science, University of Greenwich, joining in February 2025. His research and teaching focus on integrating digital technologies into construction processes, including BIM, digital twins, AI, and automation. Research Interests: His work centers on digital construction, construction automation, and AI-driven solutions. He explores how digital twins can synchronize off-site and on-site logistics, optimize construction workflows, and enhance decision-making through data science. His research bridges academia and industry, aiming to solve real-world challenges in construction efficiency and sustainability. Publication Trends: His recent publications appear in high-impact journals such as Automation in Construction , Journal of Construction Engineering and Management , and Production Planning & Control . Collectively, his work emphasizes automation, real-time monitoring, predictive analytics, and integration of digital tools across the construction lifecycle. Scientific Engagement: Reviewer for over 20 high-quality journals and conferences Editorial Board Member, Smart and Sustainable Built Environment (SASBE) Active participant in national and international research funding proposals (Horizon Europe, EPSRC, Innovate UK) Advising and Grants: While no formal students are listed, he is actively involved in securing research funding and developing collaborative projects. His grant activities focus on digital innovation in construction, with proposals targeting EU and UK funding bodies to advance smart and sustainable built environments. Labs and Research Groups: Previously affiliated with the Nancy Automation Research Centre (CRAN) Lab in France, where he conducted postdoctoral research on digital twin applications in construction logistics. At the University of Greenwich, he contributes to advancing digital construction research within the School of Engineering.

• Security
• Privacy
• Embedded Systems
• +4 more

Vincent Naessens is a Professor at the Department of Computer Science within KU Leuven's Faculty of Engineering Technology, leading the Subdivision Mobility and Security at the Distributed and Secure Software (DistriNet) research group across Ghent and Aalst campuses. His work bridges academic research and industrial applications in critical security domains. Research Focus: Dr. Naessens specializes in secure mobile platforms , advanced authentication systems , privacy-enhancing technologies , and industrial control system security . His research addresses real-world vulnerabilities in IoT ecosystems and develops novel anonymization techniques that balance data utility with privacy protection. Current work emphasizes self-healing embedded systems and secure smart building infrastructures. Publication Trends: Recent publications (2024-2025) reveal three dominant threads: (1) Advanced dataset anonymization methods addressing temporal data and k-anonymity limitations; (2) Deep security analysis of commercial IoT products exposing critical vulnerabilities; (3) Privacy-preserving collaborative data sharing architectures. His work consistently targets practical implementations with measurable privacy-utility tradeoffs. Research Leadership: As principal investigator for major projects including Towards Self-Healing Embedded Systems (2025-2029) and BUGATTI: Embedded Security Testing (2025-2028), he directs teams exploring exploit prevention and adaptive patching. Key funding sources include FWO and EU programs supporting his work on secure SCADA systems and privacy middleware. Research Environment: Leading DistriNet's Mobility and Security subdivision, Naessens oversees a dynamic team publishing at top venues like WOOT and ARES. The group maintains strong industry ties through projects like TRUSTI (IoT security updates) and SolidLab Flanders, with active participation in the Computer Science Department Council and Faculty Advisory Committee.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +5 more

António Raimundo is an Assistant Professor at Iscte - University Institute of Lisbon's School of Applied Digital Technologies, where he coordinates the Bachelor's program in Digital Technologies and Artificial Intelligence. He serves as an Integrated Researcher at ISTAR-Iscte focusing on Information Systems. His educational background includes a PhD (2023), Master's (2016), and Bachelor's (2015) in Computer Engineering/Information Sciences from the same institution. Research interests span: Core AI/ML : Deep Learning, Large-Scale Language Models, Neural Architecture Search Applied Technologies : Computer Vision for industrial inspections, UAV/drone systems for rescue operations Cross-disciplinary : IoT-enabled rehabilitation systems, telecom network optimization, and air transport analytics Publications demonstrate strong focus on industrial AI applications (65%) and real-time systems (35%), with recurring themes in sensor fusion, UAV autonomy, and efficiency optimization. Most works appear in Q1 journals like Sensors and IEEE Access .

• Civil Engineering
• Railway Infrastructure
• Structural Dynamics
• +6 more

Nuno Correia Dos Santos is an Assistant Professor at Lusófona University – Porto (UL-CUP), where he also serves as Deputy Dean of the Faculty of Natural Sciences, Engineering, and Technology (FCNET) and Director of the Bachelor’s Degree in Civil Engineering. He holds a PhD and Bachelor’s degree in Civil Engineering from the Faculty of Engineering of the University of Porto (FEUP), where he began his research career. He is currently an external researcher at FEUP and collaborates with CONSTRUCT and CRGroup. His research centers on railway infrastructure , with a focus on structural dynamics , numerical modeling , and traffic-induced vibrations . Key concepts in his work include ground-structure interaction, dynamic amplification, and vibration mitigation. He has increasingly integrated UAV photogrammetry for infrastructure and building monitoring, showing a shift toward advanced remote sensing techniques. His recent publications (2015–2025) demonstrate a strong trend in modeling and validating 3D numerical simulations of railway vibrations, with applications in high-speed lines and urban environments. Emerging work highlights the use of drones for damage detection and infrastructure assessment, indicating a move toward digital and automated monitoring systems. Scientific Awards: Two awards and/or distinctions (specific names not provided) Advising and Grants: While no formal students are listed, he has participated as a researcher in multiple R&D projects before and after his PhD. His work is supported through institutional affiliations and research collaborations, particularly with CRGroup and CONSTRUCT. Laboratories and Research Teams: He is affiliated with the Civil Research Group (CRGroup) and is a collaborator at CONSTRUCT – Institute for R&D in Structures and Construction. These affiliations support his work in experimental validation, numerical modeling, and infrastructure resilience.

• Sustainable Construction
• Concrete Structures
• Structural Engineering
• +3 more

Simon N.M. Wijte is a Full Professor of Sustainment of Concrete Structures at Eindhoven University of Technology's Department of the Built Environment. His research focuses on structural reuse of concrete elements for circular construction and developing assessment tools for concrete structural reliability. He leads the ReCreate project funded by Horizon 2020 and contributes to European concrete standards through CEN TC250/SC2 committee work. Research interests include: Structural possibilities for concrete reuse Circular construction methodologies Precast concrete element deconstruction Mechanical behavior of masonry structures Crack analysis in reinforced concrete Seismic design standards (NPR 9998) Recent publications emphasize structural reliability assessment, crack width analysis, and sustainable concrete applications. He actively participates in technical standard committees and serves as peer reviewer for journals like Structural Concrete.

Philipp SauterView profile

Research Fellow

• Nuclear Law
• Law of Nuclear Fusion
• Disarmament Law
• +2 more

Philipp Sauter is a Research Fellow at the Max Planck Institute for Comparative Public Law and International Law (MPIL) in Heidelberg, Germany, where he has been working since March 2022 as a doctoral candidate under the supervision of Armin von Bogdandy. His PhD research focuses on The Legal Framework of Nuclear Fusion . Sauter holds a unique interdisciplinary background combining law and physics, with a First State Exam in Law (2022), Master of Science in Physics (2021), and a Maîtrise in International and European Law (2019). His educational journey includes law studies at the University of Tübingen (2016-2022), physics studies at the same institution (2016-2021), and international law studies at the Université d'Aix-Marseille in France (2018-2019). Sauter's research centers on the intersection of nuclear technology and international law, with particular emphasis on nuclear fusion regulation, disarmament law, and climate change law. His work addresses critical questions about how international legal frameworks must adapt to emerging nuclear technologies, particularly fusion energy, and how these developments intersect with global security concerns and environmental obligations. He examines the legal challenges surrounding nuclear proliferation risks from fusion technologies, the application of international humanitarian law to nuclear facilities during armed conflict, and the tensions between domestic fiscal policies and international climate commitments. His publications and presentations reveal a consistent focus on how international legal frameworks can be adapted to address both traditional nuclear challenges and emerging technological developments. Sauter's work demonstrates how nuclear fusion technology presents not just technical but profound legal and policy challenges that require innovative approaches within existing international legal structures. Doctoral scholarship holder of the German Academic Scholarship Foundation (since 2023) Exposé Scholarship from the German Academic Scholarship Foundation (2022) Cusanuswerk scholarship holder (2015-2022) Sauter actively participates in academic knowledge dissemination through teaching and conference presentations. He has taught International Law Colloquium at Heidelberg University (2023), Introduction to Nuclear Law at Karlshochschule International University (2022/23), and Constitutional Law tutorials. His conference participation is extensive, including COP28 in Dubai (2023/24), COP27 in Sharm el-Sheikh (2022), multiple International Nuclear Law Association events, and specialized workshops on nuclear disarmament. As Secretary of Working Group 8 (Nuclear Fusion) of the International Nuclear Law Association and representative in the Max Planck PhDnet, he plays an active role in shaping academic discourse around nuclear law.

Mostafa AliyariView profile

Assistant Professor

• UAV-based bridge inspection
• Electrical distribution systems
• Reliability analysis
• +3 more

Mostafa Aliyari is an Assistant Professor in the Department of Engineering at Østfold University College (HIOF), affiliated with the Faculty of Information Technology, Engineering and Economics. His research focuses on UAV-based bridge inspection, electrical distribution systems, and resilience engineering. He is pursuing a PhD project on dynamic reliability assessment of bridges using Unmanned Aerial Vehicles (UAVs), integrating machine learning techniques for defect detection. Education: PhD Candidate, Østfold University College (current) Master of Industrial Engineering, Politecnico di Milano, Italy Bachelor's in Electrical Engineering, Azad University of Bojnurd, Iran Research Interests: His work bridges civil engineering and electrical systems, emphasizing UAV applications for infrastructure resilience. He develops models for risk assessment, asset management, and maintenance planning in power distribution networks. His machine learning research includes image segmentation for bridge defect analysis and artificial neural networks for load prediction in critical infrastructure. Publications: Recent work explores UAV-enabled inspection frameworks, dynamic risk assessment of transformers, and transfer learning for bridge diagnostics. Key themes include infrastructure resilience, safety in drone operations, and integration of advanced imaging techniques with civil engineering practices. Collaborations: Partners include University of Stavanger (UiS), Arctic University of Norway (UiT), UCLA, Politecnico di Milano, and Azad University. Professional Experience: Prior roles include Technical Consultancy, Industrial Teaching, Senior R&D Engineer, and Managerial positions in power distribution systems.

Yi CuiView profile

Senior Lecturer

• Wide-area monitoring and control
• Data analytics
• Cyber-security of smart grids
• +4 more

Dr. Yi Cui is a Senior Lecturer in the School of Electrical Engineering and Computer Science at the University of Queensland (UQ), Australia. He holds a Ph.D. in Electrical Engineering from UQ (2016) and previously served as a Research Associate at the University of Tennessee, Knoxville, USA. His expertise spans wide-area monitoring and control, smart grid cybersecurity, data analytics, and condition assessment of power transformers. Education: - B.Eng. and M.Eng. from Southwest Jiaotong University, China (2009, 2012) - Ph.D. in Electrical Engineering, University of Queensland (2016) Research Interests: Dr. Cui focuses on cybersecurity strategies for smart grids, data-driven approaches to power system stability, and condition monitoring of power equipment. His work integrates advanced analytics, machine learning, and sensor technologies to enhance grid resilience and transformer reliability. Grants & Projects: - Cybersecurity Defence Strategies of Distribution Synchrophasor in Smart Grids (UQ Cyber Seed Funding, 2021–2022) - Collaborations with industry partners like Northern Territory Power and Water Corporation on network analytics. Teaching & Supervision: Available for supervision in electrical engineering and computer science, focusing on renewable energy integration, smart grid technologies, and power system cybersecurity. Labs/Teams: Contributes to UQ's Cyber Security Research Group and collaborates with international institutions on cybersecurity and smart grid initiatives.

Surya S.C. CongressView profile

Assistant Professor

• Geotechnical Engineering
• Infrastructure Asset Management
• Machine Learning Applications
• +4 more

Dr. Surya S.C. Congress is an Assistant Professor in the Department of Civil and Environmental Engineering at Michigan State University (MSU), specializing in geotechnical engineering and infrastructure monitoring. He holds an FAA Certified Drone Pilot license and actively uses UAVs for infrastructure assessment, combining machine learning and photogrammetry techniques. His research focuses on resilient infrastructure design, climate change impacts, and soil stabilization. Dr. Congress has secured funding from federal agencies like the Federal Railroad Administration (FRA) and the U.S. Army Corps of Engineers (USACE). Education: Ph.D. in Civil Engineering, University of Texas at Arlington (2018) M.S. in Civil Engineering, Indian Institute of Technology Kharagpur (2014) B.S. in Civil Engineering, JNTU, Kakinada (2012) His research interests span stabilization of problematic soils, UAV-based infrastructure monitoring, digital twin applications, and climate change resilience. He has pioneered methods for bridge and pavement inspections using drones, contributing to safer and cost-effective infrastructure management. Dr. Congress also investigates the effects of climate change on transportation assets and community vulnerability. Key awards include the 2023 Quigley Award for best paper in the Canadian Geotechnical Journal, ISSMGE’s Bright Spark Lecture (2018), and multiple fellowships. His work has been featured in ASCE SmartBrief and local news interviews during disaster response efforts. Dr. Congress actively participates in professional committees, including serving as Vice-chair for the American Society of Civil Engineers (ASCE). His grants include USDOT-funded projects and collaborations with state departments of transportation. While no specific student advisees are listed, his research teams likely include graduate students in geotechnical and transportation engineering. He is affiliated with MSU’s College of Engineering and maintains a lab focused on UAV-enabled infrastructure assessment and geotechnical modeling. His work bridges academia and industry, emphasizing real-world applications of cutting-edge technologies.

Kameshwar PoollaView profile

Professor

• Control Systems
• Intelligent Systems
• Robotics
• +7 more

Kameshwar Poolla is a distinguished Professor in the Departments of Mechanical Engineering and Electrical Engineering and Computer Sciences at the University of California, Berkeley, where he has been since 1991. He holds the Cadence Design Systems Distinguished Professorship. Prior to this, he was on faculty at the University of Illinois, Urbana-Champaign from 1984 to 1991. His research focuses on control systems, intelligent systems, robotics, semiconductor manufacturing, and energy systems. Dr. Poolla earned his B.Tech. from the Indian Institute of Technology Bombay (1980) and Ph.D. in Electrical Engineering from the University of Florida (1984). He has held visiting roles at Honeywell, McGill University, and MIT, and worked as a field engineer at Schlumberger AFR. He co-founded OnWafer Technologies (acquired by KLA-Tencor in 2007), which specialized in semiconductor yield enhancement and metrology solutions. His research interests span system identification, control theory applications, and energy systems optimization. He is affiliated with the Center for Theoretical Foundations of Learning, Inference, and Intelligence (CLIMB) and the CITRIS People and Robots (CPAR) initiative. His work bridges theoretical advancements with practical applications in manufacturing, energy grids, and autonomous systems. Key Awards: Hugo Schuck Best Paper Prize (1993), Donald P. Eckman Award (1994), NSF PYI (1988), IEEE Fellow (2012), IFAC Fellow (2020). Grants & Patents: 5 patents and extensive NSF/DoE-funded research. Labs/Teams: CLIMB and CPAR collaborations focus on AI-driven systems and human-robot interaction. His recent work emphasizes smart grid optimization, thermal building management, and sustainable energy solutions. He has pioneered token-based scheduling for HVAC systems and explored the marginal value of energy storage in grids.

Silvia Liberata UlloView profile

Researcher

• Remote Sensing
• Machine Learning
• Deep Learning
• +5 more

Silvia Liberata Ullo is a Researcher at the Department of Engineering (DING) of Università del Sannio . Her work spans Remote Sensing , Machine Learning , and Telecommunications , with a focus on Environmental Monitoring and Public Health Applications . Key research areas: Deep Learning for Land Cover Mapping Speckle Noise Reduction in SAR Data Machine Learning for Pandemic Response Mixed Reality in Military Systems Her recent publications highlight advancements in 2025 : Deep Learning for Land Cover Classification using Sentinel-1 2024 : Ensemble ML models for Dengue Outbreak Forecasting in Brazil/Peru 2023 : SAR Image Enhancement via Residual Neural Networks She collaborates with international institutions on climate-health services and geospatial AI projects.

• Robotics
• Control Systems
• Vision-Based Navigation
• +3 more

Melissa Greeff is an Assistant Professor in the Department of Electrical and Computer Engineering at Queen's University. She is a faculty affiliate with the Vector Institute for Artificial Intelligence and works with the Robora Lab , focusing on robotics and control systems. Research Interests : Aerial robots, vision-based navigation, safe learning-based control systems. Education : BASc in Engineering Science, PhD from the University of Toronto. Research Focus : Her work integrates robotics, control theory, and machine learning to enable safe, efficient UAV operations in complex environments, including maritime applications and GPS-denied navigation. Key methodologies involve differential flatness and model predictive control (MPC) enhanced by learning-based approaches. Publications : Recent articles emphasize vision-based navigation, multirotor control under disturbances, and benchmarking safe learning systems. Topics span UAVs in infrastructure assessment, cooperative control, and embedded predictive control solutions. Labs & Teams : Collaborates with the Robora Lab and Ingenuity Labs Research Institute on robotics and AI research.