Bhustali, P., Morato, P.G., Papakonstantinou, K.G., and Andriotis, C.P., 2026. “The price of decentralization in managing engineering systems through multi-agent reinforcement learning”, Reliability Engineering & System Safety, 113536.
Saifullah, M., Papakonstantinou, K.G., Bhattacharya, A., Stoffels, S.M., and Andriotis, C.P., 2026. “Multi-agent deep reinforcement learning with centralized training and decentralized execution for transportation infrastructure management”, Computer-Aided Civil and Infrastructure Engineering, 51, 100175.
Kazemi, P., Turrin, M., Andriotis, C.P., Entezami, A., Mariani, S., and Ghisi, A., 2026. “Surrogate-assisted multi-objective seismic design optimisation of diagrid tall buildings”, Computer-Aided Civil and Infrastructure Engineering, 50, 100181.
Kazemi, P., Entezami, A., Turrin, M., Andriotis, C.P., Mariani, S., and Ghisi, A., 2026. “Tall buildings with diagrids: Design exploration and assessment of the influence of the architectural form on the structural behavior”, Structures, 93, 113161.
Martinez-Alcaraz, P., de la Barra, P., Andriotis, C.P., Knaack, U., and Luna-Navarro, A., 2026. “Current trends and future directions for addressing multi-domain occupant demands in building automation and control systems”, Building and Environment, 297(1), 114588.
Molaioni, F., Andriotis, C.P., and Rinaldi, Z., 2025. “Life-cycle fragility analysis of aging reinforced concrete bridges: A dynamic Bayesian network approach”, Structural Safety, 119, 102654.
Jewett, J.L., Koniari, A.M., Andriotis, C.P., Oikonomopoulou, F., Bristogianni, T., and Carstensen, J.V., 2025. “More with less: Topology optimization strategies for structural glass design”, Glass Structures & Engineering, 10(2), 12.
van Remmerden, J., Kenter, M., Roijers, D.M., Andriotis, C.P., Zhang, Y., and Bukhsh, Z., 2025. “Deep multi-objective reinforcement learning for utility-based infrastructural maintenance optimization”, Neural Computing and Applications, 37(30), pp. 24719–24742.
Lai, L., Dong, Y., Andriotis, C.P., Wang, A., and Lei, X., 2024. “Synergetic-informed deep reinforcement learning for sustainable management of transportation networks with large action spaces”, Automation in Construction, 160, 105302.
Bianchi, S., Andriotis, C.P., Klein, T., and Overend, M., 2024. “Multi-criteria design methods in façade engineering: State-of-the-art and future trends”, Building and Environment, 250, 111184.
Morato, P.G., Andriotis, C.P., Papakonstantinou, K.G., and Rigo, P., 2023. “Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning”, Reliability Engineering & System Safety, 235, 109144.
Altamimi, A., Lagoa, C., Borges, J.G., McDill, M.E., Andriotis, C.P., and Papakonstantinou, K.G., 2022. “Large-scale wildfire mitigation through deep reinforcement learning”, Frontiers in Forests and Global Change, 5, 734330.
Morato, P.G., Papakonstantinou, K.G., Andriotis, C.P., Nielsen, J.S., and Rigo, P., 2022. “Optimal inspection and maintenance planning for deteriorating structural components through dynamic Bayesian networks and Markov decision processes”, Structural Safety, 94, 102140.
Andriotis, C.P., and Papakonstantinou, K.G., 2021. “Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints”, Reliability Engineering & System Safety, 212, 107551.
Lyritsakis, C.M., Andriotis, C.P., and Papakonstantinou, K.G., 2021. “Geometrically exact hybrid beam element based on nonlinear programming”, International Journal for Numerical Methods in Engineering, 122(13), pp. 3273–3299.
Andriotis, C.P., Papakonstantinou, K.G., and Chatzi, E.N., 2021. “Value of structural health information in partially observable stochastic environments”, Structural Safety, 93, 102072.
Andriotis, C.P., and Papakonstantinou, K.G., 2019. “Managing engineering systems with large state and action spaces through deep reinforcement learning”, Reliability Engineering & System Safety, 191, 106483.
Andriotis, C.P., and Papakonstantinou, K.G., 2018. “Extended and generalized fragility functions”, Journal of Engineering Mechanics, 144(9), 04018087.
Papakonstantinou, K.G., Andriotis, C.P., and Shinozuka, M., 2018. “POMDP and MOMDP solutions for structural life-cycle cost minimization under partial and mixed observability”, Structure and Infrastructure Engineering, 14(7), pp. 869–882.
Andriotis, C.P., Papakonstantinou, K.G., and Koumousis, V.K., 2018. “Nonlinear programming hybrid beam-column element formulation for large displacement elastic and inelastic analysis”, Journal of Engineering Mechanics, 144(10), 04018096.
Andriotis, C.P., Gkimousis, I., and Koumousis, V.K., 2016. “Modeling reinforced concrete structures using smooth plasticity and damage models”, Journal of Structural Engineering, 142(2), 04015105.
Kammouh, O., Nogal, M., Soman, R.K., and Andriotis, C.P., 2026. “Toward equitable post-disaster recovery of water distribution networks”, 4th International Conference on Natural Hazards and Infrastructure (ICONHIC), Chania, Greece.
Mavrotas, A., Bhustali, P., Bianchi, S., and Andriotis, C.P., 2026. “Multi-agent reinforcement learning for budget-constrained post-earthquake repair of interdependent infrastructure networks”, 18th European Conference on Earthquake Engineering (ECEE), Berlin, Germany.
Martinez-Alcaraz, P., de la Barra, P., Andriotis, C.P., and Luna-Navarro, A., 2026. “Does one size fit all? A Bayesian data-mining approach to thermal comfort in office spaces”, Proceedings of the 15th REHVA HVAC World Congress — CLIMA 2025, Milan, Italy, Vol. 3, pp. 1454–1463.
Bhustali, P., and Andriotis, C.P., 2025. “Assessing the optimality of decentralized inspection and maintenance policies for stochastically degrading engineering systems”, Artificial Intelligence and Machine Learning: BNAIC/BeNeLearn 2023, Revised Selected Papers, Delft, The Netherlands, Communications in Computer and Information Science, 2187, pp. 236–254.
Sterrenberg, A., Andriotis, C.P., and Stoter, J., 2025. “Modelling stochastic degradation and maintenance effects for the road network of Amsterdam: A multi-attribute data-driven approach”, 14th International Conference on Structural Safety and Reliability (ICOSSAR), Los Angeles, CA, USA.
Koniari, A.M., Andriotis, C.P., Bianchi, S., Morato, P.G., Khademi, S., and Overend, M., 2025. “Predicting building operational energy under material degradation and climate uncertainty: A sensitivity analysis”, 6th International Conference on Uncertainty Quantification in Computational Science and Engineering (UNCECOMP), Rhodes, Greece.
Molaioni, F., Andriotis, C.P., and Rinaldi, Z., 2024. “A dynamic Bayesian network approach for multi-component fragility of aging bridges”, 12th International Conference on Bridge Maintenance, Safety and Management (IABMAS), Copenhagen, Denmark.
Metwally, Z., Andriotis, C.P., and Molaioni, F., 2024. “Managing aging bridges under seismic hazards through deep reinforcement learning”, 12th International Conference on Bridge Maintenance, Safety and Management (IABMAS), Copenhagen, Denmark, pp. 3405–3413.
Mueller, L.-M., Andriotis, C.P., and Turrin, M., 2024. “Data and parameterization requirements for 3D generative deep learning models”, 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe), Nicosia, Cyprus, Vol. 1, pp. 615–624.
Mueller, L.-M., Andriotis, C.P., and Turrin, M., 2024. “Using generative adversarial networks to create 3D building geometries”, 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe), Nicosia, Cyprus, Vol. 1, pp. 479–488.
Martinez-Alcaraz, P., de la Barra, P., Andriotis, C.P., Wang, Y., and Luna-Navarro, A., 2024. “Personalized building controls based on individual thermal preferences for energy efficiency and thermal comfort”, International Building Physics Conference (IBPC), Toronto, Canada.
Kazemi, P., Turrin, M., Andriotis, C.P., Entezami, A., Ghisi, A., and Mariani, S., 2024. “Deep learning approach to structural performance prediction of tall buildings in seismic areas”, International Association for Shell and Spatial Structures (IASS) Symposium, Zurich, Switzerland.
Luna-Navarro, A., Khanchandani, P., Brembilla, E., de la Barra, P., and Andriotis, C.P., 2023. “Towards multi-domain user archetypes for user-centred façade design”, International Scientific Conference on the Built Environment in Transition (CISBAT), Lausanne, Switzerland.
van Remmerden, J., Kenter, M., Roijers, D., Zhang, Y., Andriotis, C.P., and Bukhsh, Z., 2023. “A deep multi-objective reinforcement learning approach for infrastructural maintenance planning with non-linear utility functions”, MODeM Workshop, 26th European Conference on Artificial Intelligence (ECAI), Krakow, Poland.
Andriotis, C.P., and Metwally, Z., 2023. “Structural integrity management via hierarchical resource allocation and continuous-control reinforcement learning”, 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP), Dublin, Ireland.
Saifullah, M., Andriotis, C.P., and Papakonstantinou, K.G., 2023. “The role of value of information in multi-agent deep reinforcement learning for optimal decision-making under uncertainty”, 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP), Dublin, Ireland.
Lathourakis, C., Andriotis, C.P., and Cicirello, A., 2023. “Inference and maintenance planning of monitored structures through Markov chain Monte Carlo and deep reinforcement learning”, 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP), Dublin, Ireland.
Morato, P.G., Papakonstantinou, K.G., Andriotis, C.P., Hlaing, N., and Kolios, A., 2023. “Interpretation and analysis of deep reinforcement learning driven inspection and maintenance policies for engineering systems”, 14th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP), Dublin, Ireland.
Koniari, A.M., Andriotis, C.P., and Oikonomopoulou, F., 2023. “Minimum mass cast glass structures under performance and manufacturability constraints”, 20th International Conference on Computer-Aided Architectural Design Futures (CAAD Futures), Delft, The Netherlands.
Molaioni, F., Rinaldi, Z., and Andriotis, C.P., 2023. “Assessing life-cycle seismic fragility of corroding reinforced concrete bridges through dynamic Bayesian networks”, 8th International Symposium on Life-Cycle Civil Engineering (IALCCE), Milan, Italy.
Andriotis, C.P., and Papakonstantinou, K.G., 2022. “Optimizing deep reinforcement learning policies for deteriorating systems considering ordered action structuring and value of information”, 13th International Conference on Structural Safety and Reliability (ICOSSAR), Shanghai, China.
Morato, P.G., Papakonstantinou, K.G., Andriotis, C.P., and Rigo, P., 2022. “Managing offshore wind turbines through Markov decision processes and dynamic Bayesian networks”, 13th International Conference on Structural Safety and Reliability (ICOSSAR), Shanghai, China.
Yi, S., Papakonstantinou, K.G., Andriotis, C.P., and Song, J., 2022. “Appraisal and mathematical properties of fragility analysis methods”, 13th International Conference on Structural Safety and Reliability (ICOSSAR), Shanghai, China.
Saifullah, M., Andriotis, C.P., Papakonstantinou, K.G., and Stoffels, S.M., 2022. “Deep reinforcement learning-based life-cycle management of deteriorating transportation systems”, 11th International Conference on Bridge Maintenance, Safety and Management (IABMAS), Barcelona, Spain.
Andriotis, C.P., and Papakonstantinou, K.G., 2019. “Life-cycle policies for large engineering systems under complete and partial observability”, 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP), Seoul, South Korea.
Papakonstantinou, K.G., Andriotis, C.P., Gao, H., and Chatzi, E.N., 2019. “Quantifying the value of information of structural health monitoring for decision making”, 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP), Seoul, South Korea.
Lyritsakis, C.M., Andriotis, C.P., and Papakonstantinou, K.G., 2019. “Nonlinear programming approach to a shear-deformable hybrid beam element for large displacement inelastic analysis”, 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN), Crete, Greece.
Andriotis, C.P., and Papakonstantinou, K.G., 2018. “Dependent Markov models for long-term structural fragility”, 11th National Conference on Earthquake Engineering (NCEE), Los Angeles, CA, USA.
Andriotis, C.P., Papakonstantinou, K.G., and Rathod, Y., 2018. “A consistent integrated formulation for fragility analysis and comparison with different methods”, 16th European Conference on Earthquake Engineering (ECEE), Thessaloniki, Greece.
Andriotis, C.P., and Papakonstantinou, K.G., 2018. “Probabilistic structural performance assessment in hidden damage spaces”, Computational Stochastic Mechanics (CSM) Conference, Paros, Greece.
Andriotis, C.P., and Papakonstantinou, K.G., 2017. “Generalized multivariate fragility functions with multiple damage states”, 12th International Conference on Structural Safety and Reliability (ICOSSAR), Vienna, Austria.
Papakonstantinou, K.G., Andriotis, C.P., and Shinozuka, M., 2016. “Point-based POMDP solvers for life-cycle cost minimization of deteriorating structures”, 5th International Symposium on Life-Cycle Civil Engineering (IALCCE), Delft, The Netherlands.
Papakonstantinou, K.G., Andriotis, C.P., and Shinozuka, M., 2016. “POMDP solutions for monitored structures”, IFIP WG-7.5 Conference on Reliability and Optimization of Structural Systems, Pittsburgh, PA, USA.
Andriotis, C.P., Bhustali, P., and Metwally, Z., 2026. “Structured reinforcement learning for autonomous life-cycle decision-making in the built environment”, WCCM–ECCOMAS Congress, Munich, Germany.
Bhustali, P., Andriotis, C.P., and Oliehoek, F., 2026. “Predictive maintenance planning with influence-based abstraction and reinforcement learning”, WCCM–ECCOMAS Congress, Munich, Germany.
Morato, P.G., Papakonstantinou, K.G., Andriotis, C.P., Hlaing, N., and Straub, D., 2026. “Probabilistic digital twins for monitoring, inspection, and maintenance planning via decentralized POMDPs”, WCCM–ECCOMAS Congress, Munich, Germany.
Sterrenberg, A., Andriotis, C.P., and Stoter, J., 2026. “Interpretable RL decision support for road and bridge network maintenance”, WCCM–ECCOMAS Congress, Munich, Germany.
Papakonstantinou, K.G., Morato, P.G., and Andriotis, C.P., 2026. “Integrating pre-posterior analysis and POMDPs for engineering decisions”, Engineering Mechanics Institute Conference (EMI), Boulder, CO, USA.
Andriotis, C.P., 2025. “Algorithmic decision-making for intervention planning of degrading engineering systems”, Digital Twins in Engineering & Artificial Intelligence and Computational Methods in Applied Science (DTE–AICOMAS), Paris, France.
Andriotis, C.P., and Metwally, Z., 2025. “Sequential intervention planning in multi-component engineering systems through hierarchical resource allocation”, Engineering Mechanics Institute Conference (EMI), Anaheim, CA, USA.
Morato, P.G., Andriotis, C.P., and Khademi, S., 2025. “Batch Bayesian active learning under budget constraints”, Engineering Mechanics Institute Conference (EMI), Anaheim, CA, USA.
Bhustali, P., Andriotis, C.P., Morato, P.G., and Papakonstantinou, K.G., 2025. “Decentralizing decisions: A multi-agent deep reinforcement learning approach to inspection and maintenance planning”, Engineering Mechanics Institute Conference (EMI), Anaheim, CA, USA.
Morato, P.G., Andriotis, C.P., Koniari, A.M., and Khademi, S., 2025. “Efficient active learning for high-dimensional engineering analysis via Bayesian neural networks”, 14th International Conference on Structural Safety and Reliability (ICOSSAR), Los Angeles, CA, USA.
Hettegger, D., Morato, P.G., Bhustali, P., Koutas, D., Metwally, Z., Arcieri, G., Leroy, P., Hlaing, N., Bhattacharya, A., Andriotis, C.P., Papakonstantinou, K.G., and Straub, D., 2025. “Benchmark environments for road network maintenance”, 14th International Conference on Structural Safety and Reliability (ICOSSAR), Los Angeles, CA, USA.
Los, A., Andriotis, C.P., Moody, R., Khademi, S., Morato, P.G., Koniari, A.M., van Rooy, I., and Steenbergen-Cockerton, H., 2025. “Data-driven building retrofit planning considering socio-economic and environmental factors”, 12th International Conference on Urban Climate (ICUC), Rotterdam, The Netherlands.
Ding, X., Așut, S., and Andriotis, C.P., 2025. “Closed-loop control of 3D clay printing using machine learning”, Digitalisation of the Built Environment: 4th 4TU–14UAS Research Day, Groningen, The Netherlands. Extended abstract.
Martinez-Alcaraz, P., de la Barra, P., Andriotis, C.P., and Luna-Navarro, A., 2025. “Understanding the importance of tailoring thermal conditions: A data-mining Bayesian approach”, 15th REHVA HVAC World Congress (CLIMA), Milan, Italy.
Jewett, J., Koniari, A.M., Andriotis, C.P., Oikonomopoulou, F., Bristogianni, T., Carstensen, J., 2024. “More with less: Topology optimization strategies for structural glass design”, Challenging Glass Conference, Delft, The Netherlands.
Bhustali, P., Andriotis, C.P., Morato, P.G., Papakonstantinou, K.G., 2024. “Understanding multi-agent cooperation in deep reinforcement learning for inspection and maintenance planning”, Engineering Mechanics Institute Conference (EMI), Chicago, IL, USA.
Morato, P.G., Moran, J., Koniari, A.M., Hlaing, N., Khademi, S., Andriotis, C.P., 2024. “Bayesian neural networks for active learning and uncertainty quantification with big data”, Engineering Mechanics Institute Conference (EMI), Chicago, IL, USA.
Bhustali, P., Andriotis, C.P., 2024. “Model-based reinforcement learning for optimal inspection and maintenance planning”, Modelling, Data Analytics and AI in Engineering (MadeAI) Conference, Porto, Portugal.
Kazemi, P., Turrin, M., Andriotis, C.P., Entezami, A., Ghisi, A., Mariani, S., 2024. “Exploring structural sustainability of tall buildings subject to seismic loads”, Sustainable Structural Design Forum, Delft, The Netherlands.
Morato, P.G., Koniari, A.M., Khademi, S., Andriotis, C.P., 2024. “Building energy efficiency prediction and uncertainty quantification via Bayesian neural networks”, Georg Nemetschek Institute (GNI) Symposium & Expo on AI for the Built World, Munich, Germany.
Koniari, A.M., Morato, P.G., Andriotis, C.P., Khademi, S., Bianchi, S., Overend, M., 2024. “Building energy retrofit planning through Markov decision processes”, Georg Nemetschek Institute (GNI) Symposium & Expo on AI for the Built World, Munich, Germany.
Los, A., Moody, R., Andriotis, C.P., Khademi, S., Morato, P.G., 2024. “Developing energy communities with intelligent and sustainable technologies – first results”, European Geosciences Union (EGU) General Assembly, Vienna, Austria.
Andriotis C.P., Metwally, Z., 2023. “Inspection and maintenance planning through hierarchical resource allocation reinforcement learning”, Workshop on Predictive Maintenance: Let the Data Maintain the Model, Leiden, The Netherlands.
Bhustali, P., Andriotis, C.P., 2023. “Scalable inspection and maintenance planning for stochastically degrading engineering systems”, Workshop on Predictive Maintenance: Let the Data Maintain the Model, Leiden, The Netherlands.
Morato, P., Andriotis, C.P., Papakonstantinou, K.G., 2023. “From partial and limited structural health data to optimal management of engineering systems”, Engineering Mechanics Institute Conference (EMI), Atlanta, GA, USA.
Kazemi, P., Turrin, M., Andriotis, C.P., Entezami, A., Ghisi, A., Mariani, S., 2023. “Exploring architectural forms of tall buildings subject to seismic loads using deep learning surrogate models for structural sustainability”, Sustainable Structural Design Forum, Delft, The Netherlands.
Andriotis C.P., and Metwally, Z., 2022. “Optimizing resource allocation strategies for system-level inspection and maintenance planning”, 32nd European Conference on Safety and Reliability (ESREL), Dublin, Ireland.
Andriotis, C. P., and Papakonstantinou, K.G., 2022. “Stochastic optimization of risk-constrained management policies for deteriorating systems under state and model uncertainties”, Engineering Mechanics Institute Conference (EMI), Baltimore, MD, USA.
Morato, P.G., Andriotis, C.P., Papakonstantinou, K.G., and Rigo, P., 2022. “Model updating, condition assessment, and maintenance of multi-component systems under correlated deterioration processes”, Engineering Mechanics Institute Conference (EMI), Baltimore, MD, USA.
Saifullah, M., Andriotis, C.P., Papakonstantinou, K.G., and Stoffels, S.M., 2022. “Decentralized actor-critic deep reinforcement learning approach for optimal life-cycle management of transportation networks”, Engineering Mechanics Institute Conference (EMI), Baltimore, MD, USA.
Andriotis, C.P., and Papakonstantinou, K.G., 2022. “Deep reinforcement learning for stochastic optimal control of complex systems under constraints”, Society for Industrial and Applied Mathematics (SIAM) Conference on Uncertainty Quantification, Atlanta, GA, USA.
Altamimi, A.L., Lagoa, C., Borges, J., McDill, M., Andriotis, C.P., and Papakonstantinou, K.G., 2022. “Large-scale wildfire mitigation through deep reinforcement learning”, 19th Symposium on Systems Analysis in Forest Resources, Estes Park, CO, USA.
Andriotis C.P., and Papakonstantinou, K.G., 2021. “Deep reinforcement learning approach to structural inspection and maintenance policy optimization subject to life-cycle reliability constraints”, 14th International Conference on Evolutionary and Deterministic Methods for Design, Optimization and Control (EUROGEN), Athens, Greece, 2021.
Andriotis C.P., Papakonstantinou, K.G., and Chatzi, E.N., 2021. “Value of structural health information: Theoretical properties and connections to stochastic optimal control”, Engineering Mechanics Institute Conference (EMI), New York, NY.
Andriotis C.P., and Papakonstantinou, K.G., 2021. “Partially observable Markov decision processes solutions for life-cycle inspection and maintenance planning under short- and long-term budget constraints”, Engineering Mechanics Institute Conference (EMI), New York, NY.
Morato, P.G., Andriotis, C.P., Papakonstantinou, K.G., Hlaing, N., and Rigo, P., 2021. Optimal management of offshore wind structural systems via deep reinforcement learning and Bayesian networks”, Wind Energy Science Conference (WESC), Hannover, Germany.
Andriotis C.P., and Papakonstantinou, K.G., 2019. “Stochastic control in partially observable structural domains using deep actor-critic reinforcement learning”, Engineering Mechanics Institute Conference (EMI), Pasadena, CA, USA.
Andriotis C.P., and Papakonstantinou, K.G., and Chatzi, E.N., 2019. “Value of information assessment of structural health monitoring through optimal stochastic control”, Engineering Mechanics Institute Conference (EMI), Pasadena, CA, USA.
Andriotis C.P., and Papakonstantinou, K.G., 2018. “Deep reinforcement learning for optimal decision-making of large engineering systems”, Engineering Mechanics Institute Conference (EMI), Cambridge, MA, USA.
Andriotis C.P., and Papakonstantinou, K.G., 2018. “Learning hidden structural deterioration using recurrent neural networks”, Engineering Mechanics Institute Conference (EMI), Cambridge, MA, USA.
Lyritsakis, C., Andriotis C.P., and Papakonstantinou, K.G., 2018. “Hybrid beam element formulation based on exact kinematics and nonlinear programming”, Engineering Mechanics Institute Conference (EMI), Cambridge, MA, USA.
Papakonstantinou K.G., Andriotis C.P., 2017. “From monitored data to autonomous informed decisions”, Engineering Mechanics Institute Conference (EMI), San Diego, CA, USA.
Andriotis C.P., and Papakonstantinou, K.G., 2017. “Multi-featured generalized fragility functions from a statistical learning perspective”, Engineering Mechanics Institute Conference (EMI), San Diego, CA, USA.
Andriotis C.P., and Papakonstantinou, K.G., 2016. “Elastoplastic and geometrically nonlinear analysis of frame structures based on generalized total potential energy functional”, Engineering Mechanics Institute Conference (EMI), Vanderbilt, TN, USA.
Hooks, E.M., McNeil, S., Lattanzi, D., Papakonstantinou, K., Stoffels, S., Zhou, W., Kamranfar, P., Saifullah, M., Andriotis, C.P., and Withers, A., 2021. "Strategic Prioritization and Planning of Multi-Asset Transportation Infrastructure Maintenance, Rehabilitation, and Improvements: Phase 1–Prioritization through Optimization", No. CIAM-UTC-REG5, Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS).
Papakonstantinou, K.G., Guler, I., Gayah, V., Saifullah, M., Andriotis, C.P., and Lu, M., 2021. "AI-enabled Fiscally Constrained Lifecycle Asset Management for Infrastructure Systems", No. CIAM-UTC-REG21, LTI 2022-05, Center for Integrated Asset Management for Multimodal Transportation Infrastructure Systems (CIAMTIS).
Kazemi, P., Turrin, M., Andriotis, C.P., Entezami, A., Mariani, S., and Ghisi, A., 2025. “Integrating dynamic seismic simulation in architectural design: A parametric approach for tall buildings with outer diagrids”, Coresource 4, pp. 263–290.
Turrin, M., Andriotis, C.P., and Rafiee, A. (eds.), 2023. “Computer-Aided Architectural Design. INTERCONNECTIONS: Co-computing Beyond Boundaries”, 20th International Conference, CAAD Futures 2023, Selected Papers, Communications in Computer and Information Science, 1819, Springer.
Saifullah, M., Papakonstantinou, K. Andriotis, C.P, 2025. Apparatus and method for improved inspection and/or maintenance management”, U.S. Patent Application 18/853,426.
Multi-agent inspection & maintenance planning using reinforcement learning
Price of decentralization in inspection & maintenance planning
Optimality of decentralization in multi-agent reinforcement learning
Jax implementation for transport network intervention planning with reinforcement learning
Active learning with Bayesian neural networks & foundation models for audit planning
Data for active learning with Bayesian neural networks & foundation models for buildings
Faculty of Architecture & Built Environment
Delft University of Technology
Julianalaan 134, 2628 BL, Delft
email: c.andriotis@tudelft.nl
Copyright @ C.P. Andriotis