Professor Sang-Heon Lee is a faculty member at the University of South Australia, affiliated with the UniSA STEM division. His research spans interdisciplinary domains including machine vision, supply chain optimization, and material science. His research interests focus on developing advanced imaging systems for food safety (e.g., aflatoxin detection in almonds), optimizing reverse supply chains for electronic waste and solar panels, and engineering nanocomposites for construction materials. He also investigates biomedical imaging techniques for mucociliary transit assessment and clinical coding methodologies. The 15 most recent publications highlight his work in multispectral/hyperspectral imaging, fuzzy logic optimization, and nanomaterials. Key trends include non-destructive food testing, sustainable e-waste management, and biomedical imaging analysis. As a research degree supervisor, he contributes to academic training in these areas. No scientific awards or lab affiliations were explicitly mentioned in the provided text.
Bridget Hegarty is an Assistant Professor in the Department of Civil and Environmental Engineering at Case School of Engineering, Case Western Reserve University. Her research focuses on understanding and engineering microbiomes in built environments, with applications to air quality, drinking water treatment, wastewater systems, and AI-driven environmental solutions. Investigates viral and fungal communities in engineered systems like homes, water pipes, and constructed wetlands Develops bacteriophage-based technologies for controlling pathogens in drinking water Uses machine learning for environmental health applications The INHALE Study led by Dr. Hegarty explores how low-cost home interventions can improve asthma outcomes in children, funded by the Department of Housing and Urban Development (HUD). Her work bridges environmental engineering with microbiology, emphasizing metagenomics and metatranscriptomics tools. Collaborations include partnerships with the University of Toronto, Cleveland Clinic, and Environmental Health Watch. The Hegarty Lab trains students in interdisciplinary research combining environmental science, microbiology, and computational methods.
Rocco Zito serves as Professor and Head of Engineering at Flinders University's College of Science and Engineering, a leadership position held since August 2021 where he oversees research projects and teaching programs. Previously, he headed the Civil Engineering department at the same institution. He holds a Bachelor of Engineering in Civil Engineering (Honours, 1992) and PhD in Transport Systems Engineering (2002). His research examines transportation systems through multiple lenses: Intelligent Transport Systems (ITS) and GPS applications Environmental impact assessment of transport policies Connected/autonomous vehicle technologies Sustainable fuels and transport decarbonization Transport modeling and infrastructure design Publications demonstrate strong focus on sustainable mobility solutions, intelligent transport technologies, and emission reduction strategies, with recent work advancing vehicle-to-infrastructure systems. Awards & Honors: Australian Academy of Technological Sciences Early Career Symposium Fellowship (2008) Young Transport Professional of the Year, Chartered Institute of Transport (1999) Teaches undergraduate/postgraduate courses including Advanced Infrastructure Design and Infrastructure Systems Engineering. Supervised 10+ graduate students in transport research.
Lukas Arnold is a Professor and Head of the Fire Dynamics Division at Forschungszentrum Jülich GmbH, affiliated with the Institute for Advanced Simulation (IAS) and its Civil Safety Research Group (IAS-7). He holds a chair in Computational Civil Engineering at the University of Wuppertal and leads major research initiatives in fire safety science using computational methods. Research Focus: Fire Dynamics Simulation Academic Rank: Professor Key Collaborations: University of Wuppertal, DFG, BMBF His research spans fire dynamics simulation, visibility modeling in smoke environments, and flame spread prediction. He develops advanced numerical methods like CFD-based models and inverse modeling techniques for pyrolysis kinetics, smoke propagation, and material decomposition analysis. His work integrates experimental data from real-scale fires with computational tools to improve evacuation safety and risk assessment. Recent publications highlight his expertise in smoke visibility, PMMA pyrolysis, and GPU-accelerated fire simulations. He supervises PhD students in projects involving TGA experiments, multi-scale modeling, and emergency management systems. Arnold's work has been supported by third-party grants from BMBF, DFG, and State NRW, focusing on AI-driven fire modeling, high-performance computing, and disaster resilience. He organizes bi-annual summer schools on fire modeling and contributes to open-access scientific resources.
Dr Evina Katsou is a Visiting Professor in the Department of Mechanical and Aerospace Engineering within the College of Engineering, Design and Physical Sciences at Brunel University London. She serves as Course Director for the Water Engineering MSc program and leads the Water & Environmental Engineering research group with 20 researchers. Dr Katsou's educational background includes a PhD in 'Wastewater Treatment with the Use of Membranes' (2008-2011), an MSc in Water Resources Science & Technology (2006-2008), and an MEng in Chemical Engineering (2000-2005), all from the National Technical University of Athens (NTUA), Greece. Her research program focuses on three interconnected areas: (1) Sustainable resource recovery from wastewater and safe reuse; (2) Data analytics, knowledge discovery and process modelling; and (3) Circularity & sustainability measurement and assessment. Dr Katsou has developed innovative approaches for biological nutrient removal from wastewater, including partial nitrification/denitrification and complete autotrophic nitrogen removal processes. Her work integrates advanced data analytics methods such as multivariate statistics, clustering techniques, machine learning algorithms, and artificial neural networks to identify complex relationships between process variables, particularly for measuring GHG emissions in water treatment systems. Dr Katsou has authored 98 journal publications (h-index: 27) and 12 book chapters with over 100 presentations, and holds a patent on biopolymers recovery. Her recent publications demonstrate a strong focus on circular economy applications in water systems, nature-based solutions for urban environments, and resource recovery technologies. The research trends show increasing integration of data-driven decision support systems with environmental sustainability metrics, particularly in the water-energy-food nexus domain. Chartered Chemical Engineer (Greece) HEA Fellow (FHEA) of the Higher Education Academy Mentor in the APEX (Academic Practice & Professional Excellence Framework) scheme Member of management group of the Royal Academy of Engineering (RAE) Visiting Professors Scheme Co-leader of Circular Economy VLT in Water Europe Leader of SMART WATER Working Group in ICT4Water Cluster-EC Member of ISO standards drafting team on Circular Economy Dr Katsou has successfully supervised 16 PhD students to completion and currently supervises several ongoing doctoral projects. She has secured substantial research funding as Principal Investigator on 11 national and international projects including RESILEX Horizon Europe, SYMBIOREM Horizon Europe, BORECER Horizon Europe, HYDROUSA H2020, and WATER-MINING H2020. Her industrial consulting portfolio includes significant contracts with leading UK water industry partners such as Affinity Water, Arup, Severn Trent, and Anglian Water, with projects ranging from carbon footprint assessment to corrosion mitigation and process optimization. She leads the Transformation Tools group of the Cost Action on Circular Cities, co-leads the Circular Water VLT of Water Europe, and co-leads the SMART-WATER group of the ICT4Water Cluster-EC. Dr Katsou is also a member of the drafting team for new ISO standards on Circular Economy (Measuring and Assessing Circularity - ISO5902).
Dr. Stavros Sakellariou serves as a Research Fellow (Marie Curie) in Civil and Environmental Engineering at Brunel University London's College of Engineering, Design and Physical Sciences. His expertise centers on geospatial analysis of natural disasters, particularly wildfires and droughts, leveraging remote sensing and AI for risk management. His educational background includes: PhD in Environmental Hazards Management and Spatial Planning, University of Thessaly (2016) MSc in Geospatial Technologies (Erasmus Mundus Joint Degree), 2016 MSc in Spatial Planning & Development, University of Thessaly (2010) MEng in Spatial Planning and Regional Development, University of Thessaly (2008) Dr. Sakellariou's research integrates geographic information systems , remote sensing , and artificial intelligence to address wildfire dynamics, drought/flood modeling, and climate change impacts. His work emphasizes spatial decision support systems for disaster prevention and resilience engineering in Mediterranean ecosystems, with significant contributions to early warning frameworks and urban-wildland interface safety. Recent publications reveal a concentrated focus on wildfire risk assessment (40% of works), drought monitoring (30%), and climate adaptation modeling (20%), predominantly utilizing satellite data fusion and spatiotemporal analytics. Key innovations include optimization methods for firefighting resource deployment and vulnerability assessments of agroecosystems. His accolades include: Marie Skłodowska-Curie Postdoctoral Fellowship (FIREWISE project, 2024) 7 national/international scholarships and awards With 11.5 years of teaching experience across undergraduate and master's programs at Greek universities, he has contributed to 8 multi-partner research projects on disaster management. His service includes reviewing for 25+ journals and guest-editing special issues on natural hazards. Current work centers on the FIREWISE project's integrated framework for proactive wildfire resilience.
Dr. BARANYA Sándor is an Associate Professor and Head of the Department of Hydraulic and Water Resources Engineering at the Budapest University of Technology and Economics, Faculty of Civil Engineering. He holds key administrative roles, including Faculty Council Representative, Chairman of the Economic Committee, and Erasmus Committee Member. His office is located in Building K, Room MF 19, and he can be contacted via email or phone. His research spans sediment transport , river morphology , microplastic pollution , and computational fluid dynamics (CFD) . He employs innovative methods such as acoustic mapping, machine learning, remote sensing (Sentinel-2, Landsat), and numerical modeling to study large river systems, particularly the Danube. His work addresses ecological impacts, including thermal pollution from power plants and microplastic distribution. Recent publications (2023–2025) focus on: Sediment-microplastic dynamics using integrated field-data and AI Historical river regulation impacts CFD-based restoration strategies Advanced monitoring techniques (e.g., acoustic velocimetry, deep learning for riverbed analysis) He teaches courses including Hydraulics , Hydromorphology , and Water Utilisation & Damage Prevention , and mentors students in TDK (Research Society) projects on sediment transport, river habitats, and microplastics. He participates in EU initiatives like DanubeSediment for transnational sediment management.
Muhammad Usman Hanif is an Assistant Professor at the Department of Technology and Innovation within the Faculty of Engineering at the University of Southern Denmark (SDU). His research focuses on structural health monitoring , concrete durability , and damage assessment in civil engineering systems. Research Highlights Advanced signal processing for bridge damage detection Acoustic Emission techniques in CFRP-concrete debonding Machine learning applications in concrete durability prediction Augmented Reality integration with bridge monitoring systems Recent Publications (2023-2025) 2025: Machine learning in concrete durability 2024: Novel ΔT mapping for debonding detection 2023: FBG sensors in CFRP retrofitted beams 2022: MEMS accelerometers for damage assessment Teaching Activities Finite Element Method (2025) Non-linear Finite Element Method (2025) Advanced Finite Element Analysis (2024)
Paulina Jaramillo is a Professor in the Department of Engineering and Public Policy at Carnegie Mellon University (CMU), where she co-directs the Open Energy Outlook Initiative. She is a fellow of the Scott Institute for Energy Innovation and Research at CMU and a research affiliate of the Kigali Collaborative Research Center. Jaramillo also holds a courtesy appointment in CMU Africa. Her research focuses on the social, economic, and environmental implications of energy system transitions, with a particular emphasis on climate change mitigation, sustainable energy access in the Global South, and equitable energy planning. Ph.D., Civil and Environmental Engineering, CMU (2007) M.S., Civil and Environmental Engineering, CMU (2004) B.S., Civil and Environmental Engineering, Florida International University (2003) Her recent work explores diverse decarbonization pathways, hydrogen's role in industrial sectors, and geospatial assessments for climate resilience. Jaramillo has received prestigious awards including the Andrew Carnegie Fellowship (2020), ELATES Fellowship (2023), and leadership roles in the IPCC’s 6th Assessment Report. Andrew Carnegie Fellow (2020) Coordinating Lead Author, IPCC 6th Assessment Report (2019-2022) Member, National Academies Roundtable (2023-2024) ELATES Fellow (2023-2024) Jaramillo leads interdisciplinary research projects, including a $1.5 million NSF-funded INDABA partnership for industrial decarbonization and AfriqAir initiatives for cleaner air in Africa. She collaborates with CMU’s Kigali Collaborative Research Center and Scott Institute, emphasizing stakeholder engagement and local conditions in energy system development.
Dr. Mubashir Ahmad is a researcher at the School of Physics, Engineering & Computer Science, University of Hertfordshire. His work focuses on applying computational methods to solve real-world challenges in healthcare, infrastructure, and environmental sustainability. Research Focus Dr. Ahmad's expertise spans: Core AI/ML Techniques : Deep learning, machine learning algorithms, computer vision systems Application Domains : Medical imaging diagnostics, pollution modeling, infrastructure inspection automation, and climate impact analysis Emerging Areas : Robotic systems integration and big data fusion for industrial applications Project Engagement Deep Learning-powered Apple Disease Detection System (ADDS) (2024-2025): Serving as Co-Investigator to develop AI tools for agricultural disease identification in collaboration with UK farmers. Publication Trends His recent publications demonstrate consistent focus on operationalizing deep learning across diverse sectors. Dominant themes include automated infrastructure inspection (sewer systems), medical image analysis (chest radiographs), and environmental forecasting (air quality/pollution). This reflects a cross-disciplinary approach bridging computer science with civil engineering, healthcare, and environmental science.
Dr. Xiaobai (Bob) Li is a Professor in the Department of Operations and Information Systems at the Manning School of Business, University of Massachusetts Lowell. His work bridges data science, machine learning, and business analytics with specialized focus on data privacy and information economics. Ph.D. in Management Science, University of South Carolina MBA, University of New Hampshire BS in Civil Engineering, Chongqing University Research Interests span data science, machine learning, business analytics, and data privacy. His work explores Privacy-preserving analytics Healthcare data anonymization Information economics Optimization techniques Big Data applications Text analytics with particular emphasis on balancing data utility and privacy protection. Scientific Awards include: Manning Research Excellence Award (2023) Best Associate Editor Award (2021) Best Paper Awards at NEAIS, WITS, and ICIS Teaching Excellence Awards Grants from NIH and NSF supported his work on Consumer Electronic Privacy Protection and New Technology to Preserve Patient Privacy . He has served as Associate Editor for journals like Information Systems Research and Decision Support Systems .
Mark Edward Borsuk is the James L. and Elizabeth M. Vincent Professor in the Department of Civil and Environmental Engineering at Duke University’s Pratt School of Engineering. He leads the Borsuk Lab, which specializes in interdisciplinary modeling of coupled social, environmental, and technical systems. His research spans climate change, ecosystem services, water resources, land use, and environmental health, using advanced methods such as Bayesian networks, agent-based modeling, game theory, and risk analysis. He co-directs the Center on Risk within Duke’s Science & Society Initiative and is an Associate of the Duke Initiative for Science & Society. B.S.E. in Civil Engineering and Operations Research, Princeton University, 1995 M.S. in Statistics and Decision Sciences, Duke University, 2001 Ph.D. in Environmental Science and Policy, Duke University, 2001 Postdoctoral Training, EAWAG (Swiss Federal Institute for Aquatic Science and Technology), Systems Analysis, Integrated Assessment, and Modelling (SIAM) Dr. Borsuk’s research focuses on integrating scientific data across disciplines to support decision-making under uncertainty. He is a leading expert in Bayesian network modeling applied to environmental and human health regulation. His work combines risk analysis, game theory, and agent-based modeling to assess climate change and environmental policy. He has developed novel frameworks for valuing ecosystem services, modeling landowner behavior, and assessing geoengineering risks. His lab emphasizes interdisciplinary collaboration, stakeholder engagement, and quantitative decision support. His recent publications reflect a strong trend toward integrating machine learning, causal inference, and spatial modeling into environmental assessment. Topics include solar radiation modification governance, land-use policy forecasting, invasive species impacts, and urban green space valuation. His work increasingly leverages big data (e.g., Zillow, remote sensing) and probabilistic programming to enhance model transparency and predictive accuracy. Chauncey Starr Distinguished Young Risk Analyst Award, Society for Risk Analysis, 2013 Early Career Research Excellence Award, International Environmental Modelling and Software Society, 2008 Earl I. Brown Outstanding Civil Engineering Faculty Award, Duke University, 2018 Best Paper, Integrated Environmental Assessment and Management Journal, 2012 Excellence in Mentoring Award, Dartmouth College Postdoctoral Association, 2010 Best Paper in Integrated Modelling, Environmental Modelling & Software Journal, 2008 Dr. Borsuk has been a principal investigator on grants from NSF, EPA, NIH, NIEHS, and USFS. He mentors a diverse group of graduate students and postdoctoral fellows, including Kim Bourne, Jon Holt, Chris Krapu, and Ryan Calder. He teaches courses such as Risk and Resilience Engineering, Engineering Economics, and Independent Study in Civil and Environmental Engineering. He is actively involved in advising and curriculum development through the Bass Connections Energy & Environment Research Team. He leads the Borsuk Lab, a dynamic research group focused on systems, risk, and decision analysis. The lab is a key contributor to the Bridge Collaborative—a partnership between Duke, The Nature Conservancy, IFPRI, and PATH—where it develops quantitative models to support cross-sectoral decision-making. The lab also investigates landowner decision-making in New England forests and the governance of solar geoengineering, using agent-based and deliberative modeling approaches.
Dr. Da Chen is an Honorary Research Fellow at the School of Civil Engineering, The University of Queensland. His research focuses on composite structures, material mechanics, and structural analysis with applications in mechanical and civil engineering. Key Research Areas: Functionally graded porous materials, graphene reinforcement, multiscale modeling, thermal buckling, vibration analysis, and additive manufacturing. Publications: 28 journal articles, 4 book chapters, and 4 conference papers since 2014. Recent work includes machine learning applications for structural analysis and inverse design of porous systems. Email: d.chen@uq.edu.au
Professor Hakim Al-Samoui is a distinguished faculty member in the Department of Civil Engineering at the Faculty of Engineering, University of Tripoli. He has served at the university since 2003, obtaining the rank of Professor in 2005 and receiving a promotion to job grade 16 in 2022 (effective from January 1, 2017). His academic career spans over three decades with significant contributions to concrete technology research and education. Bachelor's degree from University of Tripoli (1988) Master's degree from University of Gdansk, Poland (1990) PhD from University of Gdansk, Poland (1996) Worked at University of Gdansk (1996-2002) Professor Al-Samoui specializes in concrete technology with particular expertise in two-stage concrete pouring, concrete durability, fabric formwork, concrete recycling, pozzolanic materials, and concrete mix design. His research bridges theoretical advancements with practical applications in construction engineering. He has published over eighty research papers in distinguished journals and presented at numerous international conferences worldwide, establishing himself as a leading expert in specialized concrete technologies. His recent publications demonstrate a clear trajectory toward sustainable construction materials, advanced concrete technologies, and computational approaches to material science. The research spans traditional concrete innovations while increasingly focusing on eco-friendly alternatives, waste material utilization, and cutting-edge technologies like 3D printing and machine learning applications in construction materials. Scientific Recognition: Fellowship from American Concrete Institute (2020) - first Libyan to receive this honor Active member of American Concrete Institute committees since approximately 1999 External evaluator for leading journals including Construction and Building Materials, American Concrete Institute publications, and American Society of Civil Engineering journals Professor Al-Samoui has supervised six Master's theses at University of Tripoli and served as advisor for graduate students from Gdansk Technical University (Poland), Tehran University (Iran), and Dublin Institute of Technology (Ireland). He has also acted as an external examiner for numerous Master's and PhD theses across multiple universities in Libya, Lebanon, Iraq, and India. His extensive international collaborations include research visits to Columbia University, University of South Carolina, Munich University, and Gdansk University of Technology. Through his active participation in international conferences across more than 20 countries and his role on scientific committees, Professor Al-Samoui maintains a robust research network that spans the global concrete technology community. His recent activities in 2023-2024 demonstrate continued research productivity and academic engagement.
Miguel Costas Piñó serves as Associate Professor in the Department of Structural Engineering at the Norwegian University of Science and Technology (NTNU), where he has been faculty since 2017 and was promoted to Associate Professor in 2021. His research bridges computational mechanics with practical engineering applications in structural safety and material behavior. Education PhD in Civil Engineering, University of A Coruña (2016), thesis: "Crashworthiness analysis and design optimization of hybrid impact energy absorbers" (awarded Cum Laude, International Distinctions, and Extraordinary Doctorate Award) Master of Science in Civil Engineering, University of A Coruña (2011), specialization in Structural Engineering Research Focus Dr. Costas's work centers on computational and experimental solid mechanics , with particular expertise in metal plasticity , aluminium structures , and crashworthiness under extreme loading conditions. His laboratory investigates ballistic penetration phenomena and structural optimization for energy-absorbing systems, utilizing advanced finite element methods and physical testing protocols. Current projects integrate machine learning with traditional mechanics to model complex failure modes in multi-material systems. Publication Trends His 2020-2025 publications reveal three dominant trajectories: (1) ballistic resistance of additively manufactured metals for defense applications, (2) crash safety of electric vehicle battery systems, and (3) advanced modeling of mechanical joints. These works consistently combine experimental validation with computational innovation, particularly in neural network applications for large-scale structural simulations. Awards Cum Laude Doctorate International Distinctions (PhD) Extraordinary Doctorate Award Professional Activities Dr. Costas actively collaborates with industry partners on structural safety projects and serves as principal investigator for multiple NTNU research initiatives. His teaching includes graduate courses in materials mechanics, and he maintains dual professional engagement as a classical pianist with Norway's collaborative music community. Current work focuses on AI-driven crash simulation frameworks and next-generation armor materials.
