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Chun Qing LiView profile

Professor

• Time-Dependent Reliability Theory
• Infrastructure Corrosion
• Mixed-Mode Fracture Failure
• +3 more

Professor Chun Qing Li is a Professor of Civil Engineering at RMIT University's School of Engineering, leading global research in time-dependent reliability theory and infrastructure corrosion management. He previously served as Head of School (2011-2016), significantly boosting research output and elevating RMIT's Civil Engineering ranking into the top 100 globally. His expertise spans corrosion mechanics, mixed-mode fracture failure, and risk-cost optimized maintenance strategies for critical infrastructure. Research interests include: Time-variant reliability analysis for deteriorating structures Corrosion effects on steel and concrete infrastructure Mixed-mode fracture mechanics for buried pipelines Circular economy design for sustainable infrastructure Risk-based service life prediction methodologies Publications focus on advancing probabilistic modeling techniques, with over 300 papers including high-impact journals like Journal of Structural Engineering and ASCE Journal of Engineering Mechanics . His work has received £10M+ in research grants from UK EPSRC and Australian ARC. Awards include UK's highest 4* research rating and Elsevier's 'Top 2% Scientists' recognition. Industry collaborations include critical infrastructure projects with Metro Trains Melbourne (rail safety), Melbourne Water (stormwater pipe integrity), and AECOM (tunnel maintenance strategies). Supervises PhD/Master's projects on topics like carbon-neutral infrastructure design and corrosion modeling.

• computational mechanics
• topology optimisation
• machine learning
• +7 more

Dr. Chi Wu serves as a Lecturer in Mechanical Engineering at the University of Newcastle's School of Engineering. With a PhD from the University of Sydney (2022) and postdoctoral experience there (2023-2024), he has established himself as a rising researcher in computational mechanics and advanced manufacturing. His work bridges engineering principles with biomedical applications, particularly in the development of machine learning-driven approaches for material and structural optimization. Education: Doctor of Philosophy, University of Sydney Dr. Wu's research spans computational mechanics, topology optimization, machine learning, biomechanics, and advanced manufacturing, with particular emphasis on developing novel machine learning-based approaches for design optimization of advanced materials and structures. His work focuses on creating functionally graded tissue scaffolds, optimizing composite structures, and developing phase field models for fracture analysis. His research experience spans academia, industry, and clinical applications, demonstrating strong interdisciplinary connections. Analysis of Dr. Wu's publication record reveals a strong focus on integrating machine learning with additive manufacturing, particularly for biomedical applications. His work shows increasing sophistication in combining computational mechanics with experimental validation, with recent publications emphasizing time-dependent optimization and multi-scale modeling approaches. The trend indicates growing recognition of his work in both computational mechanics and biomedical engineering communities. Scientific Awards: Acta Journal Award (2023) Inaugural Grant Steven Award for Early Career Researchers (2023) Best Paper Award at the 12th International Conference on Structural Integrity and Failure (2021) Wiley Top Cited Article Award for 2020-2021 Best Paper Award at the 4th Australasian Conference on Computational Mechanics (2019) Dr. Wu actively recruits PhD students for research in mechanical, materials, and manufacturing engineering, with particular interest in candidates with computational mechanics and optimization backgrounds. He co-supervises students with Prof. Qing Li (ARC Future Fellow, Highly Cited Researcher) at the University of Sydney and Dr. Jianguang Fang (ARC Future Fellow) at the University of Technology Sydney. The University of Newcastle offers various scholarships, with additional support available for candidates from mainland China applying for the CSC scholarship. Dr. Wu maintains extensive collaborative networks across multiple institutions including Harvard University, Max Planck Institute, University of Exeter, Tohoku University, and several Australian universities and medical institutions including Chris O'Brien Lifehouse cancer hospital and industry partners like Cochlear Australia and Zimmer Biomet Australia.

Zhiying QianView profile

Assistant Professor

• Applied Linguistics
• Psycholinguistics
• Neurolinguistics
• +3 more

Zhiying Qian is an Assistant Professor in the Department of Modern Languages and Linguistics at Florida State University (FSU). She holds a Ph.D. in East Asian Languages and Cultures with a certificate in Second Language Acquisition and Teacher Education from the University of Illinois at Urbana-Champaign (2015). Her research focuses on psycholinguistics, second language acquisition, and language program management, employing neuroscientific methods like EEG and eye-tracking to study cognitive processes in language comprehension. She leads the Chinese Language Teachers Association’s Research Special Interest Group, fostering collaboration among over 200 researchers in Chinese language education. **Education**: - Ph.D. in East Asian Languages and Cultures (UIUC, 2015) - Certificate in Second Language Acquisition and Teacher Education (UIUC, 2015) - Advanced Japanese studies at the Inter-University Center for Japanese Language Studies (Yokohama, Japan) **Research Interests**: - Applied linguistics and neurolinguistics - Sentence processing and classifier systems in Chinese/Japanese/English - Second language acquisition mechanisms - Technology-enhanced language pedagogy - Blended learning and teacher training **Grants and Funding**: - Seed Grant ($100k, FSU, 2024–2026) - Collaboration with Dr. Zilong Xie on neural tracking of linguistic units - Multiple institutional grants (e.g., $20k First-Year Assistant Professor Grant, 2019) **Lab & Outreach**: Directs the Language Processing and Eye-Tracking Lab, offering research opportunities in cognitive linguistics and second language acquisition. She serves as Review Editor for the Journal of Chinese as a Second Language (2024–2027) and actively promotes collaborative research through her SIG leadership.

Johnny JakobsenView profile

Associate Professor

• Composite Materials
• Wind Turbine Engineering
• Structural Mechanics
• +3 more

Johnny Jakobsen is an Associate Professor in the Department of Materials and Production at Aalborg University's Faculty of Engineering and Science. His research focuses on composite materials, wind turbine engineering, and structural mechanics, with a particular emphasis on failure phenomena in advanced composites and sandwich structures. He has contributed to projects addressing localized effects in sandwich components, automated composite manufacturing, and fatigue analysis. His work spans theoretical modeling, experimental validation, and industrial applications, including collaborations on optimizing draping processes for wind turbine blades and developing novel reinforcement methods for composite components. Jakobsen has authored or co-authored over 70 publications since 2005, with recent contributions focusing on automated manufacturing, composite reinforcement strategies, and material characterization under complex loading conditions. Notable projects include the Integrated Design and Processing of Lightweight Composite and Sandwich Structures and studies on peel stopper designs for sandwich beams. His research has been supported by industry partnerships and has led to patents, such as the Method of Manufacturing a Fibre Reinforced Composite Component . Jakobsen also serves on academic review committees and has been featured in media for contributions to structural engineering advancements.

İsmail ÇiçekView profile

Assistant Professor

• Marine Engineering
• Naval Architecture
• Structural Dynamics
• +2 more

İsmail Çiçek is an Assistant Professor in the Department of Marine Engineering at Istanbul Technical University, actively contributing to maritime safety, structural dynamics, and risk assessment research. His work spans naval architecture, collision avoidance systems, and marine propulsion efficiency. His research focuses on Marine Engineering and Naval Architecture , with specialization in structural dynamics of flexible marine structures, vibration absorbers, and pendulum systems. Key areas include ship collision risk modeling, man-overboard emergency response protocols, and marine propeller performance optimization under varying engine loads. His publication trends reveal strong emphasis on Maritime safety systems using advanced statistical methods (Fault Tree, Bayesian networks) Autonomous navigation algorithms compliant with COLREGs Marine propulsion efficiency and structural dynamics Scientific recognition includes: Best Paper Award (2019) Outstanding Performance Award (2009) Superior Client Service Award (2010) The 2011 Safe Award for Team Achievement (2022) He has supervised 8 research projects including the Gemi Makine Diaresi Simülatörü (Engine Room Simulator) and Gemi Dizel Motoru Verim Ölçme Sistemi (Marine Diesel Engine Efficiency Measurement System), with significant industry collaboration through ISTKA and SRP-funded initiatives. Current projects focus on globalizing maritime logistics capabilities and advanced collision risk assessment frameworks.

Naveen GargView profile

Professor

• Algorithms Design
• Approximation Algorithms
• Combinatorial Optimization
• +3 more

Naveen Garg is the Usha Hasteer Chair Professor in the Computer Science and Engineering Department at IIT Delhi. He earned his Ph.D. in 1994 and joined IIT Delhi as an Assistant Professor in 1997 after postdoctoral research at MPI-Informatik, Saarbruecken. He coordinates the UQ-IITD Academy of Research (UQIDAR). His research focuses on algorithms design, approximation algorithms for NP-hard problems, combinatorial optimization, and graph theory. He advises students on research projects and mentors through the department's structured programs. Contact: naveen@cse.iitd.ac.in. Research Interests: Approximation algorithms for NP-hard problems Combinatorial optimization Graph theory applications Algorithmic game theory Publications: Over 40 papers in top venues, focusing on network optimization, scheduling algorithms, and facility location problems. Active in conferences like ICALP and APPROX/RANDOM.

John BellosView profile

Associate Professor

• Structural Design
• Reinforced Concrete Construction
• Seismic Engineering
• +4 more

Dr. John Bellos is an Associate Professor of Structural Design and Construction Technology at Neapolis University Pafos (since 2018), serving as Head of the Department of Civil Engineering and Coordinator of the BSc in Civil Engineering Programme. He holds a Ph.D. in Structural Dynamics from SUNY Buffalo (1989), an MSc in Mechanical Engineering from SUNY Buffalo (1986), and a BSc in Naval Architecture & Mechanical Engineering from National Technical University of Athens (1984). His expertise spans structural design of reinforced concrete buildings, seismic analysis, progressive collapse resistance, and non-conservative dynamic systems. His research integrates machine learning for structural behavior analysis and aesthetic-form integration. He previously served as Director of Information and Learning Services (2009–2013), contributing to the university's technological infrastructure. Key research areas include reinforced concrete mechanics, seismic retrofitting, steel frame dynamics, and soil-structure interaction. He has published extensively on structural safety, vibration control, and computational methods in construction engineering. His work bridges theoretical analysis with practical applications in resilient infrastructure design. Bellos has advised on structural design projects for industrial and civil infrastructure, contributing to Eurocode compliance and advanced simulation techniques. His collaborations include the PROINDUSTRY project on seismic isolators and the Hellenic Navy's vibration studies on offshore vessels.

Chunshun ZhangView profile

Senior Lecturer

• Geotechnical Engineering
• Geomechanics
• Underground Pipeline Failure
• +5 more

Dr. Chunshun Zhang is a Senior Lecturer in the Department of Civil Engineering at Monash University, specializing in geotechnical engineering and geo-infrastructure. He holds over 4 years of academic experience and 3 years in industry (GHD, Australia), and is a member of Engineers Australia and the Australian Geomechanics Society. His research focuses on geomechanics, including load-induced grain crushing, piled foundation bearing capacity, and failure mechanisms of pressurized water pipelines. He has developed the Monash Tool for water utilities and contributed to Australia’s largest numerical models for underground mining subsidence. His work has attracted over $7M in research grants and earned prestigious awards like the George Stephenson Medal (2014) and IWA’s Project Innovation Award (2016). Research interests include numerical modeling of geotechnical systems, pipeline failure mechanisms, and particle breakage in granular materials. His applied work bridges academia and industry, emphasizing practical solutions for infrastructure resilience and asset management. Key Contributions: Monash Tool for water utilities, large-scale mining subsidence models, and corrosion-patch stress analysis. Grants: Over $7M in external/internal funding as Chief Investigator or project lead. Advising: Accepts PhD students in geotechnical engineering and related fields.

• Structural Engineering
• Mechanics of Solids and Structures
• Civil Engineering
• +17 more

Bernardino Chiaia is a Full Professor in the Department of Structural, Geotechnical and Building Engineering (DISEG) at the Polytechnic University of Turin, where he has been a central figure in structural engineering research and education since 1995. He holds a PhD in Structural Engineering and has served in various leadership roles, including Vice-Rettore (Vice-Rector) for Education and Dean of Engineering at UNINETTUNO. His research is focused on structural safety, sustainable materials, and infrastructure resilience, with strong ties to industry and public institutions through numerous funded projects. His research interests include structural mechanics, fiber-reinforced and recycled concrete, seismic safety, avalanche protection, tunnel engineering, and digital asset management. He has pioneered work on eco-mechanical indices for concrete and robustness-oriented design of structures. His work bridges theoretical mechanics with practical engineering applications, particularly in the context of aging infrastructure and climate resilience. His recent publications reflect a strong trend toward digitalization and sustainability in civil engineering, with a focus on avalanche risk modeling, tunnel digital twins, blockchain for asset tracking, and statistical analysis of bridge collapses. These works demonstrate a shift from material-level studies to system-level resilience and data-driven infrastructure management. ACI Wason Medal for Material Research (2013) Chiaia has supervised numerous PhD students and serves on the PhD collegia for Civil and Environmental Engineering at Politecnico di Torino. He has led major research grants funded by national (PRIN, PNRR), European (Interreg), and corporate sources (Autostrade per l’Italia, TELT, CEMEX). His collaborative work includes partnerships with MIT, Imperial College, and Delft University. He also contributes to policy through expert evaluations for MIUR, the European Commission, and international research panels. He leads the Interdepartmental Center SISCON (Safety of Infrastructures and Constructions) and coordinates research agreements with ReLUIS, Autostrade per l’Italia, and the Department of Civil Protection. His work on infrastructure monitoring, digital twins, and risk dashboards underscores his role in advancing smart, resilient civil systems.

Kaylee LitsonView profile

Assistant Professor

• Quantitative Psychology
• Structural Equation Modeling
• Latent Variable Modeling
• +7 more

Kaylee Litson, Ph.D., is an Assistant Professor in the Department of Psychology at the University of Houston, affiliated with the College of Liberal Arts and Social Sciences and the Industrial-Organizational Program. She is the Director of the Interdisciplinary Quantitative Methods Collaboratory, where she leads research in advanced statistical modeling and psychological measurement. B.S. in Psychology, Utah Tech University (2012) Ph.D. in Quantitative Psychology, Utah State University (2019) Postdoctoral Fellowship in Biostatistics, Temple University (2020) Dr. Litson's research lies at the intersection of quantitative psychology, education, industry, and health. She specializes in structural equation modeling (SEM), latent variable development, and the analysis of longitudinal, nested, and multi-method data. Her work emphasizes both theoretical and statistical rigor in measuring complex psychological constructs such as creativity, cognitive load, and soft skills. Her recent publications highlight trends in methodological innovation, particularly in latent interaction effects, finite mixture modeling, ergodicity in cognitive models, and the measurement of black-box psychological phenomena. She actively develops frameworks for integrating theoretical meaning with statistical best practices in latent variable specification. Dr. Litson has applied her methods to study graduate students' research self-efficacy, working memory models, and the impact of soft skills on career trajectories. While no specific awards are listed, her research program reflects a strong commitment to advancing quantitative methods in psychology. She is currently accepting PhD student applications for the 2025–26 academic year, indicating active mentorship and research supervision. Her lab focuses on improving the capture of variability in complex datasets, with future work likely extending into AI-assisted modeling, real-time cognitive assessment, and cross-domain applications of quantitative methods.

• Environmental Sociology
• Ecological Economics
• Sustainability Science
• +12 more

Dr. Christian Dorninger is a researcher at the Institute for Social Ecology , part of the Department of Economic and Social Sciences at the University of Natural Resources and Life Sciences, Vienna (BOKU) . He holds a doctorate in Sustainability from Leuphana University Lüneburg and has held postdoctoral and visiting scholar positions at institutions including the Konrad Lorenz Institute and the University of Maryland. His current research focuses on socio-ecological metabolism, climate justice, and transformative sustainability pathways. His educational background includes a Mag. in International Development and a BA in Sociology from the University of Vienna, and an M.Sc. in Social and Human Ecology from Alpen-Adria University Klagenfurt. His interdisciplinary training supports his work at the nexus of environmental sociology, ecological economics, and sustainability science. Dorninger’s research centers on structural drivers of environmental degradation , including ecologically unequal exchange, global supply chains, and the social dimensions of climate policy. He investigates how industrialization, globalization, and consumption patterns impact resource use and emissions, with a particular focus on urban and national-level footprints. His work emphasizes transformative change , exploring leverage points in food and energy systems, the role of time use in sustainability, and the potential for circular and regenerative economies. His 15 most recent publications reveal a strong trend toward interdisciplinary sustainability science , integrating political economy, ecological modeling, and social theory. Key themes include imperial appropriation in the global economy, socio-ecological niche construction, and the integration of precautionary principles in pandemic response. His research consistently addresses global environmental justice and systemic inequality. Dorninger is an active contributor to scientific discourse, serving as a reviewer for leading journals such as Nature Sustainability , Global Environmental Change , and Ecological Economics . He is involved in several externally funded research projects, including those focused on regionalized energy transitions, carbon footprinting for Austrian states, and circular economy strategies for Vienna. He is engaged in knowledge transfer through policy-oriented reports and public outreach, including contributions to initiatives like the APCC Special Report on climate-friendly living structures. He collaborates with interdisciplinary teams across BOKU and European institutions, contributing to large-scale research efforts on sustainable development and climate justice.

• Aerospace Engineering
• Composite Materials
• Numerical Modeling
• +5 more

Dr. Matthew Joseph Donough is a post-doctoral researcher at the University of New South Wales (UNSW Sydney), affiliated with the ARC Training Centre for Automated Manufacture of Advanced Composites (AMAC). He holds a PhD in Aerospace Engineering from RMIT University (2015). His research focuses on aerospace structures, numerical modeling, composite and hybrid materials, and bio-inspired designs. Key interests include fatigue crack growth prediction, grid structure optimization, and thermal load modeling of composite materials. Current supervisions include PhD candidates Shafaq, Rowan Caldwell, and Christopher Jenkins, all working on durability aspects of marine composite propellers and leaf arms. He has contributed to grants such as the Light Weight Composite Conveyor Support Structures project (2021–2023), funded by the Australia Coal Research Program. Dr. Donough’s expertise spans advanced manufacturing techniques like automated fibre placement (AFP), fracture mechanics, and composite material characterization. His work emphasizes practical applications in aerospace and structural engineering, with a focus on enhancing composite materials’ performance and durability under various loading conditions.

• Dynamical Systems
• Control Theory
• Machine Learning
• +3 more

Mario Sinani is a Researcher and Teaching Assistant in the Department of Aeronautics at Imperial College London's Faculty of Engineering. His research focuses on dynamical systems, control theory, and machine learning applied to nonlinear systems and fluid-solid interactions. He develops data-driven models for nonlinear control of flexible structures interacting with fluid flows under supervision of Dr. Andrew Wynn (Flow Control Group) and Prof. Rafael Palacios (Load Control and Aeroelastics Lab). Education includes a PhD in Data-Driven Modelling and Nonlinear Control from Imperial College London, and MSc/BSc in Mechanical Engineering with a focus on Control Theory and Robotics from National Technical University of Athens. Prior to Imperial, he worked at CERN on particle detector technologies and as an R&D engineer in Zurich developing dynamic light control systems. Teaching responsibilities include Control Systems for MSc students, Flight Dynamics and Control for MEng Aeronautical Engineering, and Applied Aerodynamics courses. His research integrates advanced mathematical analysis with cutting-edge machine learning techniques to address complex fluid-structure interaction challenges in aerospace systems.

• Structural Health Monitoring (SHM)
• Composite Materials
• Fatigue Analysis
• +9 more

Zahra Sharif Khodaei is a Professor in Aerospace Structural Durability and Health Monitoring at Imperial College London's Department of Aeronautics within the Faculty of Engineering. She earned her PhD in numerical modelling of functionally graded materials from Czech Technical University in 2008. Her professional experience includes a research associate role at Imperial College from 2009 before transitioning to a lectureship in 2014. Professor Khodaei holds prestigious fellowships from the Royal Aeronautical Society and Women in Engineering Society. Her research focuses on advanced structural health monitoring (SHM) techniques for aerospace composites, including fatigue analysis, damage detection via guided waves, and integration of physics-informed machine learning. Key areas include development of wireless sensor solutions, probabilistic frameworks for impact localization, and optimization of sensor networks for large composite structures. She also explores metamaterials, fiber optic sensing systems, and reliability analysis under environmental variations. Expertise: SHM, composite materials, fatigue analysis, neural networks, guided wave techniques Affiliations: Aerospace Materials and Structures, Space Engineering, Structural Integrity and Health Monitoring, The Composites Centre Recent work emphasizes baseline-free damage detection methods, probabilistic impact localization, and multi-objective sensor path optimization. Her publications span structural simulations, material characterization under extreme conditions, and hybrid sensor systems for aerospace applications. Scientific Awards: Fellow of Royal Aeronautical Society, Fellow of Women in Engineering Society Current research includes development of digital clone platforms for SHM system testing under uncertainty, vibration-based offshore wind turbine monitoring, and 3D-printed flexible strain sensors. She also investigates automated crack growth quantification using neural networks and temperature compensation frameworks for guided wave systems in large composites.

• Sustainable Materials
• Seismic Engineering
• Finite Element Analysis
• +3 more

Konstantinos Poutos serves as Head of the Department of Civil Engineering, Construction Management, and Surveying at Kingston University's Faculty of Engineering, Computing and the Environment. He additionally holds the strategic role of Faculty Coordinator for the National Student Survey (NSS) and Student Experience, driving initiatives that enhance academic quality and student satisfaction across engineering programs. His educational foundation includes: PhD in Civil Engineering Masters in Business Administration (MBA) MSc in Civil Engineering with Earthquake Engineering Dipl.-Ing. Civil Engineering (University of Patras, Distinction) BEng (Hons) Civil Engineering PgCe in Learning and Teaching in Higher Education Dr. Poutos' research spans sustainable construction materials and seismic engineering, with particular emphasis on recycled glass aggregates in concrete systems and structural dynamics under earthquake loads. His innovative work employs Finite Element Analysis to optimize mechanical properties and structural resilience, directly addressing industry challenges in eco-friendly construction and disaster-resistant infrastructure. This research portfolio bridges theoretical modeling with practical applications in water infrastructure and building systems. His publication trajectory reveals a clear evolution from foundational materials research (2007-2013) on recycled glass concrete to current seismic engineering innovations (2023-2025), complemented by educational scholarship on STEM student engagement. Recent work focuses on hybrid shear walls and slit-configuration water tanks, demonstrating sustained relevance in structural resilience. Professional recognition includes: Senior Fellow of the Higher Education Academy Through leadership roles as School Director of Learning and Teaching and Associate Dean (Faculty Director L&T), he implements evidence-based improvements in curriculum design and quality assurance. His strategic integration of NSS data drives targeted enhancements in student retention and academic success, while his teaching portfolio spans MSc Structural Design and BEng Civil Engineering programs. Dr. Poutos cultivates a research-active departmental culture that prioritizes interdisciplinary collaboration between structural engineers, materials scientists, and construction management specialists, fostering innovation in sustainable infrastructure solutions.