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Michael TaitView profile

Professor

• Structural Engineering
• Seismic Analysis
• Blast Risk Mitigation
• +4 more

Dr. Michael Tait is a Professor in the Department of Civil Engineering at McMaster University, specializing in structural engineering, seismic isolation, blast risk mitigation, and infrastructure resilience. His research integrates advanced computational modeling with experimental validation to enhance the safety and performance of critical systems. Research Interests Structural and seismic engineering with focus on fiber-reinforced materials Development and analysis of tuned liquid dampers for vibration control Resilience-based design frameworks for blast and multi-hazard scenarios Numerical modeling of complex systems using smoothed particle hydrodynamics Probabilistic risk assessment and infrastructure hardening Selected Publications His recent work (2025-2022) spans seismic fragility of bridges, blast risk mitigation for masonry systems, power grid resilience, and innovative damping technologies. Key themes include hybrid modeling, nonlinear dynamics, and geometric optimization of fluid control systems. Teaching Professor Tait has taught Structural Analysis (CIVENG 3G04) and Structural Dynamics (CIVENG 739) since 2017, emphasizing computational tools and real-world engineering applications.

• Fire Safety
• Civil Protection
• Risk Assessment
• +4 more

Vladimirs Yemeļjanovs serves as Professor and leading researcher at Riga Technical University's Institute of Management and Security, where he directs the Fire Safety and Civil Protection study program. Holding a PhD in Engineering (Dr.sc.ing.), he joined RTU in 2004 after 16 years in Latvia's State Fire and Rescue Service (SFS), including roles as Deputy Chief (1986-2002) and Director of the SFS Fire Safety and Civil Protection College (2002-2004). Education: PhD in Engineering (Dr.sc.ing.) His research centers on fire safety engineering, civil protection planning, and risk assessment methodologies. Key focus areas include developing civil protection plans for local governments, building safety systems (lightning protection, smoke detectors), emergency response algorithms, and occupational safety in construction. His work consistently bridges theoretical engineering principles with practical public safety applications, particularly in Latvian infrastructure contexts. Analysis of his 15 publications from 2019-2024 reveals a strong emphasis on localized risk modeling for Latvian institutions. Recurring themes include civil protection plan development for municipalities, building safety compliance (especially in schools), industrial accident consequence assessment, and health impact evaluations. He frequently employs simulation tools like Pathfinder and fault tree analysis for practical training and risk quantification. Professor Yemeļjanovs actively leads research projects including: ERASMUS+ project for unified social security study courses (2020-2023) Environmental risk plan development for Jelgava/Sauliai cities (2018-2019) Ongoing LATAK fire safety institution evaluations (2017-present) Stearic acid combustion experiment (2023) ESF professional competence development project (2022) Benzene unloading explosion-risk calculations (2020) New firefighting technology research (2019)

Peter WilkinsonView profile

Visiting Professor

• Fire Safety Engineering
• Structural Safety
• Building Design
• +4 more

Peter Wilkinson is the Royal Academy of Engineering Visiting Professor in Fire Safety Design at the School of Architecture, Building and Civil Engineering, Loughborough University. He focuses on integrating fire safety expertise into architectural and built-environment curricula. With nearly 30 years of experience, he is a Chartered Engineer, Chartered Scientist, and Registered Fire Risk Assessor. He founded Pyrology Limited in 2012, a consultancy specializing in fire engineering, risk assessments, and expert witness services. He co-leads the CROSS scheme, a confidential safety reporting initiative expanded to include fire safety, and serves as a Designated Person for anonymizing reports. He chairs multiple BSI technical committees, including FSH/024 (Fire Safety Engineering) and FSH/009 (Fire Terminology), and leads revisions to fire safety vocabulary standards (BS4422). Academically, he holds a BEng (Civil Engineering, Loughborough, 1995), MSc (Fire and Explosion, Leeds, 2003), and an EngD (Resilient Fire Engineering Design, Loughborough, 2013). His professional honors include Honorary Fellowships from the Institution of Structural Engineers and multiple memberships in fire engineering and technology societies. His research emphasizes resilient building design, structural fire safety, fire compartmentation, and evacuation strategies. Notable contributions include advancing BS 7974 standards, BIM-driven fire safety, and probabilistic modeling. He advocates for global fire safety education and chairs Engineering Council initiatives to standardize professional competency for building safety engineers under the Building Safety Act. Awards include Fellowship from the Institution of Fire Engineers and recognition for his role in shaping fire engineering practices. His voluntary roles include IFE International President (2022/23) and trustee roles, highlighting his industry leadership. He collaborates across academia and industry to enhance fire safety through standards, education, and innovative practices.

Steven CrimpView profile

Research Fellow

• Climate Risk Management
• Climate Change Adaptation
• Food Security
• +1 more

Dr. Steven Crimp is Senior Research Fellow and Deputy Head of Climate with the ANU Institute for Climate Energy and Disaster Solutions (ICEDS). With expertise in climate risk management and adaptation, he examines climate impacts on agriculture and food systems in Australia and the Indo-Pacific region. His research focuses on translating climate scenarios into decision-relevant information for agriculture, developing quantitative models for seasonal forecasting, and designing practical adaptation pathways. Current projects include evaluating carbon markets for climate-resilient coffee agroforestry in PNG and probabilistic seasonal forecasting in Queensland. Crimp's publications demonstrate strong focus on fire danger prediction, drought adaptation strategies, food system resilience, and climate service design. Recent work addresses compound risks from climate extremes and pandemics, with emphasis on vulnerable Pacific Island communities and agricultural systems.

• Structural Engineering
• Civil Infrastructure Resilience
• Materials Science
• +5 more

Shahriar Quayyum is an Assistant Professor in Civil & Environmental Engineering at Manhattan University. He holds a Ph.D. from North Carolina State University and specializes in structural engineering, particularly enhancing civil infrastructure resilience through innovative materials and analytical/experimental studies. His expertise includes probabilistic risk assessment, post-storm damage investigations, and seismic performance of steel structures. He teaches courses like Structural Analysis and Wood Structures. Dr. Quayyum's research focuses on structural resilience under extreme loads, such as hurricanes, earthquakes, and fire exposure. He has contributed to developing parametric models for wood-frame walls' wind load resistances, fire-exposed steel connections, and weld sequence effects. His work has been published in journals like Journal of Structural Engineering and Engineering Structures . He has received notable awards including the 2023 The Masonry Society Outstanding Journal Award and grants from NSF and the American Society of Engineering Education. His professional experience includes roles at Applied Research Associates and Corning Inc., where he contributed to materials modeling and process optimization. Key research areas include: Residual stress simulation in steel members Hurricane/Tornado risk assessment for wood-frame construction Seismic retrofitting of steel connections Fire damage analysis of structural systems Current grants support curriculum development in systems thinking and sustainable engineering practices.

• Environmental Statistics
• Climate Variability
• Wildfire Modeling
• +2 more

Bryson Bates is an Adjunct Professor at the University of Western Australia's School of Agriculture and Environment, specializing in environmental statistics and climate science. His research employs Bayesian methods to analyze climate variability, streamflow dynamics, and wildfire ignition patterns. Recent work focuses on disentangling climatic drivers of hydrologic systems and probabilistic wildfire risk modeling. Bates has developed frameworks for lightning prediction and evaluated stochastic rainfall models in collaboration with international teams.

Marco TurcoView profile

Researcher

• Climate Science
• Environmental Science
• Meteorology
• +6 more

Marco Turco is a Ramón y Cajal Researcher at the University of Murcia's Faculty of Biology, Department of Physics. He holds a PhD from the Universitat de Barcelona (2012), focusing on climate change impacts on forest fires in Catalonia. His research integrates atmospheric modeling, wildfire risk analysis, and climate projections. Key interests include fire weather trends, drought prediction, and interdisciplinary wildfire management strategies. His work emphasizes Mediterranean environments, addressing topics like human exposure to wildfires, climate-driven fire synchronicity, and model validation for seasonal forecasts. He leads the Regional Atmospheric Modelling Group, developing hybrid models for fire prediction and collaborating on drought assessments. Publications span climate change impacts, flood damage, and the interplay between meteorology and vegetation. Recent studies highlight non-stationary climate systems, probabilistic drought forecasting, and the role of anthropogenic factors in extreme weather. His research bridges academic and operational applications, aiming to inform policy and improve disaster resilience in vulnerable regions.

Jonathan EdenView profile

Associate Professor

• Climate Change Research
• Extreme Weather Events
• Climate Modeling
• +3 more

Jonathan Eden is an Associate Professor at the Centre for Agroecology, Water and Resilience, Coventry University. He holds a Doctorate in Climate Science from the University of Birmingham (2007–2011) and has held external positions at the Royal Netherlands Meteorological Institute (2014–2017) and the University of Birmingham (2011–2014). His research focuses on climate variability, anthropogenic climate change impacts on high-impact weather events (e.g., floods, heatwaves, wildfires), and statistical downscaling techniques for climate models. He leads projects addressing climate extremes in forests, agricultural systems, and Mediterranean regions, funded by organizations like the European Commission and internally funded initiatives. Eden has received the Outstanding Research Supervisory Team Award (2023) and actively participates in international conferences and media commentary on climate change impacts. His work contributes to UN Sustainable Development Goals related to climate action and environmental sustainability.

Ronald S. HarichandranView profile

Professor

• Structural Engineering
• Earthquake Engineering
• Pavement Engineering
• +5 more

Ronald S. Harichandran serves as Dean of the Tagliatela College of Engineering and Vice Provost for Research at the University of New Haven. He holds a Ph.D. in Civil Engineering from MIT and previously served as a professor and department chair at Michigan State University for 16 years. His technical expertise spans structural engineering, earthquake engineering, pavement engineering, and fire engineering, with over 170 publications in peer-reviewed journals and technical reports. He has pioneered initiatives such as integrated technical communication programs, entrepreneurial mindset development through e-learning modules, and mentorship programs. Key achievements include securing $544,000 in congressionally directed grants for cybersecurity infrastructure and co-leading a $4M NSF Scholarship for Service grant. He is a Fellow of the American Society of Civil Engineers (ASCE) and a member of the Connecticut Academy of Science and Engineering. Education: Ph.D./M.S. Civil Engineering (MIT), B.E. Civil Engineering (University of Canterbury, New Zealand). Awards include the ASCE Fellowship (2005), Withrow Exceptional Service Award (2011), and Teacher-Scholar Award (1992). His research focuses on structural integrity, infrastructure resilience, and educational innovation. Notable grants include projects on technical communication skills development and entrepreneurial training. He has been frequently cited in media for expertise on bridge safety, AI regulation, and cybersecurity advancements.

• Earthquake Engineering
• Steel Structures
• Structural Analysis
• +5 more

Assoc. Prof. Dr. Kadir Ozakgul is an Associate Professor at the Civil Engineering Department of Istanbul Technical University (ITU), specializing in Earthquake Engineering and Steel Structures. He holds a PhD in Structural Engineering from ITU (2006) and has been affiliated with the university since 1996, progressing from Research Assistant to Assistant Professor (2015) and currently serving as Associate Professor. Education: PhD in Structural Engineering, ITU (2002-2006) MSc in Structural Engineering, ITU (1993-1997) BSc in Civil Engineering, ITU (1989-1993) Research Focus: His work centers on structural safety, seismic fragility analysis of railway bridges, fire damage assessment of steel structures, and fatigue life prediction in infrastructure. He emphasizes probabilistic methods and real-world applications in bridge engineering, including retrofitting and sensor-based monitoring systems. Publications: Over 40 peer-reviewed papers focus on railway infrastructure resilience, structural behavior under extreme loads (earthquakes, fire, ice), and experimental methods for assessing structural integrity. Recent trends highlight probabilistic seismic risk modeling and sensor network optimization for bridge health monitoring. Labs/Teams: Leads the Damage Detection Laboratory (HASLAB) at ITU, specializing in non-destructive evaluation techniques and experimental structural analysis.

Changqing LuView profile

Research Fellow

• Spatial Statistics
• Point Process Modeling
• Machine Learning
• +3 more

Changqing Lu serves as an ERCIM Fellow within the Stochastics department at Centrum Wiskunde & Informatica (CWI), specializing in the integration of spatial statistics and machine learning for environmental risk modeling. Primary research focuses on Dutch fire risk prediction using advanced point process methodologies. Lu's work bridges theoretical statistics with practical applications, particularly through tree-based algorithms like XGBoostPP for intensity function estimation. Key research domains include spatio-temporal point process modeling, environmental variable integration, and data-driven hazard assessment, with emphasis on chimney fire prediction in residential contexts. Recent publications (2022-2025) demonstrate consistent progression toward operational fire risk systems, combining journal articles in Journal of Computational and Graphical Statistics and Annals of Applied Statistics with conference presentations at the ISI World Statistics Congress. The research trajectory shows increasing methodological sophistication in machine learning applications for spatial risk modeling. Scientific recognition includes the competitive ERCIM Fellowship. No student advising records or additional awards are documented in current materials. Lu maintains active research collaboration with M.-C. van Lieshout and contributes to discussion papers in leading statistical journals.

• Machine Learning
• Prediction
• Data Analysis and Visualization
• +7 more

Eugenio Francisco Sánchez Úbeda is an Associate Professor at the College of Engineering, Comillas Pontifical University, and a researcher at the Technological Research Institute (IIT). He has been affiliated with the institution since 1991 and teaches Statistics, Machine Learning, and Data Analysis at ICAI. His academic and research work spans energy systems, healthcare analytics, and machine learning applications. Education: PhD in Industrial Engineering, Comillas Pontifical University, 1999 Degree in Industrial Engineering (Electronics), Comillas Pontifical University, 1991 His research interests include Machine Learning, Prediction, Data Analysis and Visualization, Nonlinear Statistical Models, and Deep Learning, with a strong focus on energy demand forecasting and probabilistic modeling. He has led numerous research projects in collaboration with major European companies such as Endesa, Enel, and Airbus. Recent publications highlight his work in energy efficiency, healthcare monitoring using wearable devices, microgrid optimization, and pandemic-related energy demand shifts. His research integrates advanced machine learning techniques with real-world applications in energy and public health. Scientific Awards and Recognition: Director of work awarded 'Premio Iberdrola al mejor Trabajo Fin de Master 2020-21' Director of work awarded 'Premio Management Solutions al mejor Proyecto Fin de Carrera 2017-18' He has advised multiple PhD students and serves on thesis committees. He is also an active reviewer for journals such as Energy Economics and Energy . His leadership extends to organizing scientific workshops like the JOSITE series and contributing to funded research projects including those under Horizon 2020 and the Inter-American Development Bank. He has delivered invited seminars on data mining, genetic algorithms, and MATLAB visualization at Comillas and other institutions, and has participated in over 100 research projects in energy and data science.

Dušan StojnićView profile

Assistant Professor

• Forest Road Planning
• Forest Resource Utilization
• Forest Transport
• +2 more

Dr. Dušan Stojnić is an Assistant Professor at the Faculty of Forestry, University of Belgrade, teaching Forest Roads (undergraduate) Forest Opening and Forest Construction (master's) . He holds a doctorate in Biotechnical Sciences - Forestry (2019) and has been employed since 2011. Research Focus: His work centers on Forest road network optimization Multi-criteria decision-making in forestry Forest construction and infrastructure Timber extraction impacts . Publications: He has authored over 50 papers with recent trends in GIS-based forest planning Protected area road siting Fire-prone forest infrastructure Equipment efficiency analysis . Projects: He has been a responsible designer in numerous forest road engineering projects across Serbia and participated in forest resource utilization research initiatives.

• Structural Engineering
• Earthquake Engineering
• Structural Reliability and Risk
• +5 more

Yong Li is an Associate Professor in the Department of Civil and Environmental Engineering at the University of Alberta's Faculty of Engineering. His research integrates mechanics-based modeling, probabilistic methods, and machine learning to address structural reliability challenges in civil infrastructure. Dr. Li's research focuses on structural dynamics , earthquake engineering , and AI-assisted structural analysis . He develops computational frameworks for probabilistic performance evaluation of bridges, buildings, pipelines, and wind turbines under seismic, landslide, and fire hazards. His work emphasizes stochastic modeling , structural health monitoring , and nonlinear system identification using field data and finite element simulations. His publication portfolio reveals a strong trend toward machine learning integration in structural engineering since 2020, with increasing focus on neural network applications for hysteretic behavior prediction and real-time thermal analysis. The research spans civil structures (bridges, masonry, steel/concrete buildings) and energy infrastructure (pipelines, wind turbines), consistently applying probabilistic frameworks to quantify uncertainty. Dr. Li leads the Structural Modeling and Reliability Analysis (SM&RA) Research Group and collaborates with The Masonry Centre and The Steel Centre at U of A. He teaches core structural engineering courses including CIVE 372 (Structural Analysis I) and CIVE 779 (Structural Reliability), mentoring graduate students in computational mechanics and risk analysis.

Kamelia Atefi-MonfaredView profile

Associate Professor

• Geomechanics
• Bio-mediated Ground Improvement
• Energy Geotechnics
• +2 more

Dr. Kamelia Atefi-Monfared is an Associate Professor of Civil Engineering leading research on coupled processes in geomechanics. Her work integrates experimental and computational approaches to address challenges in energy geotechnics and sustainable infrastructure. Key research areas: Bio-mediated soil stabilization Thermo-hydro-mechanical coupling in porous media Tunnel engineering in extreme environments Geothermal energy systems Particle transport in deformable media Recent publications demonstrate advanced modeling of fire damage in tunnels and bio-cementation processes. Experimental work includes multi-laboratory validation of rock tensile tests. Methodologically, research features coupled chemo-thermo-hydro-mechanical models validated through laboratory testing. Awards include the 2023 TUST Best Paper Award for work on fire-induced tunnel damage. Current projects investigate fine particle migration in geothermal reservoirs and bio-cemented soil characterization.